Electronic health records (EHRs) are an integral part of modern health care. The 2009, Health Information Technology for Economic and Clinical Health Act established financial incentives for US hospitals to adopt EHRs. In 2009 only 12% of nonfederal acute care hospitals had adopted a certified EHR system, which increased to 96% by 2021.1
EHRs have transformed the way patient data are stored and accessed, streamlining the process of providing quality patient care with improvements in efficiency, effectiveness, patient satisfaction, and safety.2 Despite their widespread adoption and benefits, EHRs have generally been met with mixed physician satisfaction.3 Interactions with EHRs are linked to disproportionate time at the computer and physician burnout.4-6
The US Department of Veterans Affairs (VA) was at the forefront of EHR development, establishing the Veterans Health Information Systems and Technology Architecture (VistA) in the 1970s. The VA released the Computerized Patient Record System (CPRS) in 1997, the first clinical user interface for VistA. In May 2018, the VA signed a $10 billion contract with Cerner (now Oracle Health) to modernize its EHR.7 This was later revised to $16.1 billion, and the Institute for Defense Analyses estimates it will cost $49.8 billion.8 The transition to Oracle Health has been faced with significant challenges, including patient safety risks and workflow inefficiencies, leading to a pause in rollout.9
Due to the known challenges with EHRs and the aging CPRS system (without a scheduled replacement date), innovations that facilitate the synthesis and display of clinical information are needed. To address this gap, the VA Ann Arbor Healthcare System (VAAAHS) developed the Inpatient Dashboard, an online EHR companion tool. The Inpatient Dashboard was designed to draw data from VistA to reduce time spent at the computer by streamlining clinical information presentation, standardizing inpatient notes, improving safety measures, and enhancing overall clinician satisfaction. This study evaluated the adoption and user experience with the Inpatient Dashboard.
INPATIENT DASHBOARD
The Inpatient Dashboard consists of several modules created by a contractor for the VAAAHS that is housed on VA servers with access restricted to individuals with patient health data privileges. As the Inpatient Dashboard draws data from VistA, it can display laboratory information, studies, and notes from all VA sites.
The main dashboard is a snapshot summary of patient information, including patient location, code status, last vital sign readings, vital sign ranges over the previous 24 hours, intake/output, deep vein thrombosis (DVT) prophylaxis, the presence of telemetry orders, or use of Foley or central catheters (Figure). It also includes a customizable to-do list and contact information for the patient’s clinician and nurse. Significant events, such as abnormal vital signs or speciation/sensitivities for blood cultures, are automatically populated on the to-do list. From this main dashboard overview, clinicians can customize which patients are displayed, create and print a rounding list, print a sign-out sheet, or select individual patients to open a progress note module.
Notes can be written in the patient history and physical module, progress note module, and discharge summary module. The patient history and physical module has text blocks allocated to the traditional components of a history and physical note (ie, chief complaint, history of present illness, review of systems, past medical history, family history, social history, allergies, medications, physical examination, assessment, and plan) (eAppendix 1). Some elements, such as past medical history, family history, and social history are prepopulated if the patient was previously admitted. Vital signs, laboratory results, studies, microbiology/ pathology reports, and other CPRS notes are displayed in this module.
The progress note module contains text blocks allocated to the traditional components of a progress note, such as subjective/interval events, physical examination, assessment, and plan (eAppendix 2). Vital signs, laboratory results, studies, microbiology/ pathology reports, other CPRS notes, and the patient’s medication administration record are also displayed in this module. Lastly, the discharge summary module includes patient follow-up, patient instructions, hospitalization summary, medication reconciliation, laboratory results, and studies/procedures, ensuring a comprehensive discharge summary for patients and clinicians (eAppendix 3).
A medication reconciliation tool was embedded within the history and physical and discharge summary modules. This tool has been shown to reduce medication errors in patients admitted from the emergency department to the hospital (eAppendix 4).10 The handoff/sign-out tool (eAppendix 5) accessible through the main dashboard page is modeled on the I-PASS handoff framework.11,12 This includes the patient identifier, interval events, inpatient medications, specific sign-out guidance, sign-out tasks/to-dos, and any other pertinent information.
The Inpatient Dashboard is a team-based construct shared by the attending physicians, residents, and medical students. Each team (eg, general medicine, general surgery) is its own entity; only team members can change the content or add to the documentation. Each facility can have multiple teams caring for the same patient (eg, primary and consulting teams). Additional care members can also be incorporated (eg, pharmacists assist with medication reconciliation for admission and discharge at VAAAHS). The Inpatient Dashboard can export information directly to CPRS for clinicians to review and sign. It can also generate a note that can be pasted into CPRS.
Clinician Feedback and Satisfaction
A survey was developed to evaluate clinician experiences with using the Inpatient Dashboard as an adjunct to the CPRS. The Inpatient Dashboard was made available to general medicine teams in November 2018. The survey was conducted from December 2018 to September 2019. The study was conducted at the VAAAHS and included 4 general medicine teams. Each team included an attending physician, a senior resident, 2 to 3 interns, and 3 to 4 medical students. Eligibility was extended to any team member who used both the CPRS and Inpatient Dashboard. Participation in the survey was voluntary. All respondents were informed of the study’s purpose and encouraged to provide candid feedback to ensure the reliability and validity of the findings.
Data were collected through a semistructured survey administered via the Qualtrics platform. The questionnaire was designed to capture multidimensional insights into clinician experience, with particular focus on satisfaction, efficiency, and perceived safety when using the tool as an adjunct to CPRS compared to using CPRS alone. The questionnaire primarily used a Likert scale for responses. Surveys were emailed at the completion of a team’s 1-month inpatient block. An answer was not required for every question, resulting in slightly different response numbers for some questions.
A question regarding the tool’s impact on workload stress was added halfway through the study period, which resulted in fewer responses. Adoption was assessed by counting the Inpatient Dashboard unique users. Descriptive statistics were used within individual survey responses to report the distribution of responses. Differences in response between levels of training were assessed using a X2 test of independence.
Survey Results
From September 2023 through November 2023, there were 1549 rounding printouts across 144 unique users (5 nurses, 40 medical students, 87 residents, and 12 attending physicians) and 1468 handoff printouts across 148 unique users (5 nurses, 10 medical students, 111 residents, and 22 attending physicians). The clinician survey received 68 responses from users at various levels of medical training: 23 medical students, 31 interns, 12 senior residents, and 2 attending physicians. All 68 participants confirmed they had used the Inpatient Dashboard.
User satisfaction and preference for the Inpatient Dashboard vs CPRS were assessed. Sixty-one respondents (90%) expressed overall satisfaction with the Inpatient Dashboard; 22 (32%) were extremely satisfied, and 39 (57%) were somewhat satisfied (Table 1). Three respondents (4%) were neutral, 2 (3%) were somewhat dissatisfied, and 2 (3%) were extremely dissatisfied with the Inpatient Dashboard. Responses differed by level of training (P = .03), with medical students trending towards higher satisfaction.
Respondents preferred the Inpatient Dashboard over CPRS for gathering information and writing progress notes; 42 (64%) respondents mostly favored the Inpatient Dashboard, 15 (23%) slightly favored the Inpatient Dashboard over CPRS, and 8 (12%) were neutral. One respondent (2%) slightly favored CPRS to the Inpatient Dashboard (Table 2).
Sixty-five respondents (100%) found the Inpatient Dashboard’s ability to summarize patient information in a central place helpful (Table 3). Among them, 53 (82%) respondents reported it was very or extremely helpful, 10 (15%) respondents reported it was moderately helpful, and 2 (3%) respondents reported it was slightly helpful. This feature positively impacted users’ awareness of patients with DVT prophylaxis or a Foley catheter. Ten (15%) respondents reported being much more aware, and 29 (45%) respondents reporting they were slightly more aware. The remaining 26 (40%) respondents reported no change in awareness.
The Inpatient Dashboard was reported to save time preparing for physician rounds by 52 (80%) respondents, contributing to much greater efficiency for 29 (45%) respondents and slightly more efficiency for 23 (35%) respondents. However, 10 (15%) respondents reported no change in efficiency, and 3 (5%) respondents reduced efficiency, with 1 (2%) respondent reporting it slightly less efficient and 2 (3%) respondents reporting it much less efficient. Responses differed by level of training (P = .01), with medical students trending towards higher efficiency. Of the 23 respondents who reported on the Inpatient Dashboard’s impact on daily workload stress level, 22 (96%) indicated the tool had a stress-reducing effect, with 9 (39%) experiencing a major reduction in stress level, and 13 (57%) experiencing somewhat reduced stress level. Only 1 participant (4%) reported no change in stress. No participants reported an increase in stress.
DISCUSSION
The adoption of EHRs has transformed operational modalities in contemporary health care systems, heralding advancements in patient satisfaction, safety, and overall quality and efficiency of care.1,2 However, EHRs still present challenges, predominantly around clinician satisfaction, marked by instances of burnout and increased time spent on computers.2-6 In this context, the Inpatient Dashboard, an online companion to the CPRS, exemplifies how user-centered innovations in EHRs can address and mitigate associated challenges.
The Inpatient Dashboard has been well received with most respondents of the survey conducted in this study indicating they were both satisfied with the instrument and preferring it to CPRS. This high approval aligns with existing literature on the potential advantages of user-centered design in health care technology.13 The tool has gained widespread acceptance at the VAAAHS even in the absence of obligatory usage or institutional incentives. The appeal of the Inpatient Dashboard may stem from its increased efficiency, with most users affirming its timesaving nature. While CPRS can only display local notes, laboratory results, and studies, the Inpatient Dashboard can display data from across all VA sites. The VA Joint Longitudinal Viewer can similarly display data from across all sites, but the display is not streamlined as it is in the Inpatient Dashboard. The Inpatient Dashboard incorporates this clinical information into a single page to facilitate day-to-day workflow and dynamic documentation (ie, reviewing laboratory results, medications, writing notes, and signing out patients). This increased efficiency allows clinicians to counter 2 common barriers to EHR implementation: productivity loss and insufficient time.14
The association between EHRs and improved quality and safety in health care is well-documented.3 The Inpatient Dashboard fortifies this association by enhancing awareness around patient status, evidenced by a majority of respondents, and by integrating a medication reconciliation tool to decrease medication errors on transition from the emergency department to inpatient hospitalization.10
The Inpatient Dashboard’s impact on alleviating daily workload stress is noteworthy, with almost all respondents experiencing reduced stress levels and physician burnout, which has been linked to deteriorating well-being, compromised patient safety, and escalated health care costs.15,16 The heightened susceptibility of physicians to burnout compared to other professionals underscores the imperative for incorporating stress-mitigating interventions in the EHR.17,18
While responses to most questions did not significantly differ by training levels, overall satisfaction with the Inpatient Dashboard and its ability to save time preparing for rounds were rated higher by medical students. This may be attributable to a greater derived benefit from collating and presenting data to learners with less familiarity with the native EHR. It is also notable that the Inpatient Dashboard allows medical students to directly contribute to a patient’s note, which could be another driver in satisfaction. While most interns still felt the Inpatient Dashboard enabled them to save time preparing for rounds, there were a considerable number of ‘no change’ responses, which suggests some interns may not have modified their existing prerounding strategies. These associations are limited by the relatively small number of respondents by learner category, with senior medical residents and attending physicians being underrepresented.
While there are a multitude of dashboards available at the VA, most are made to track certain quality metrics and are used more by administrative and leadership staff. The Inpatient Dashboard was created specifically for frontline clinicians to facilitate their day-to-day workflow and dynamic documentation. This tool can additionally help with quality metrics, though its main purpose was and is to make clinician workflow easier and more efficient.
These results are especially timely because the VA is modernizing its EHR by transitioning to Oracle Health.7 Due to the numerous reports both from veterans and VA clinicians that the Oracle Health EHR is not meeting expectations, deployment at further sites has been halted while improving the experience of the 5 institutions using Oracle Health is prioritized.9 The Inpatient Dashboard, instead of being merely an enhancement to CPRS, could emerge as a potential bridge to Oracle Health if adapted to display data from Oracle Health as it does VistA. This would facilitate a smoother, more integrated transition for those health care institutions employing the Inpatient Dashboard.
Limitations
The reliance on self-reported data inherently carries the risk of bias, and the absence of objective measures, like time-tracking studies, limits the quantifiable assessment of the Inpatient Dashboard efficacy. The single-center nature of the study also may restrict the generalizability of the results.
CONCLUSIONS
Optimal integration of EHRs into health care delivery is critical to high-quality patient care and operational efficiency. The Inpatient Dashboard is an example of an innovative, user-centric solution that integrated and presented clinical information in a way that produced high satisfaction and adoption by users at a VA hospital.
Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff (Millwood). 2011;30(3):464-471. doi:10.1377/hlthaff.2011.0178
Nguyen L, Bellucci E, Nguyen LT. Electronic health records implementation: an evaluation of information system impact and contingency factors. Int J Med Inf. 2014;83(11):779-796. doi:10.1016/j.ijmedinf.2014.06.011
Alexander AG, Ballou KA. Work-life balance, burnout, and the electronic health record. Am J Med. 2018;131(8):857- 858. doi:10.1016/j.amjmed.2018.02.033
Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med. 2016;165(11):753-760. doi:10.7326/M16-0961
Chaiyachati KH, Shea JA, Asch DA, et al. Assessment of inpatient time allocation among first-year internal medicine residents using time-motion observations. JAMA Intern Med. 2019;179(6):760-767. doi:10.1001/jamainternmed.2019.0095
US Government Publishing Office. VA’s Electronic health record modernization: an update on rollout, cost, and schedule. Subcommittee on Military Construction, Veterans Affairs, and Related Agencies, Committee on Appropriations, United States Senate. 117th Congress, 2nd Session. September 21, 2022. Accessed February 5, 2025. https://www.govinfo.gov/content/pkg/CHRG-117shrg52328/html/CHRG-117shrg52328.htm
Grondin C, Gupta A, Houchens N, et al. Medication reconciliation tool reduces errors in patients admitted from the ED to hospital. Am J Med Qual. 2021;36(2):129. doi:10.1097/01.JMQ.0000741500.33781.eb
Starmer AJ, Spector ND, Srivastava R, et al. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):1803-1812. doi:10.1056/NEJMsa1405556
Starmer AJ, O’Toole JK, Rosenbluth G, et al. Development, implementation, and dissemination of the I-PASS handoff curriculum: a multisite educational intervention to improve patient handoffs. Acad Med. 2014;89(6):876-884. doi:10.1097/ACM.0000000000000264
Ratwani RM, Fairbanks RJ, Hettinger AZ, Benda NC. Electronic health record usability: analysis of the user-centered design processes of eleven electronic health record vendors. J Am Med Inform Assoc. 2015;22(6):1179-1182. doi:10.1093/jamia/ocv050
Kruse CS, Kristof C, Jones B, Mitchell E, Martinez A. Barriers to electronic health record adoption: a systematic literature review. J Med Syst. 2016;40(12):252. doi:10.1007/s10916-016-0628-9
West CP, Dyrbye LN, Shanafelt TD. Physician burnout: contributors, consequences and solutions. J Intern Med. 2018;283(6):516-529. doi:10.1111/joim.12752
Smeds MR, Janko MR, Allen S, et al. Burnout and its relationship with perceived stress, self-efficacy, depression, social support, and programmatic factors in general surgery residents. Am J Surg. 2020;219(6):907- 912. doi:10.1016/j.amjsurg.2019.07.004
Shanafelt TD, Boone S, Tan L, et al. Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch Intern Med. 2012;172(18):1377-1385. doi:10.1001/archinternmed.2012.3199
Budd J. Burnout related to electronic health record use in primary care. J Prim Care Community Health. 2023;14:21501319231166921. doi:10.1177/21501319231166921
Christopher Grondin, MDa,b; Jawad Al-Khafaji, MD, MSHAa,b; Gabriel Solomon, MDa,b
Author affiliations aVeterans Affairs Ann Arbor Healthcare System, Michigan bUniversity of Michigan, Ann Arbor
Author disclosures Gabriel Solomon receives royalties from the VA Technology Transfer Program related to the use of inpatient dashboard. The other authors report no actual or potential conflicts of interest or outside sources of funding with regards to this article.
Christopher Grondin, MDa,b; Jawad Al-Khafaji, MD, MSHAa,b; Gabriel Solomon, MDa,b
Author affiliations aVeterans Affairs Ann Arbor Healthcare System, Michigan bUniversity of Michigan, Ann Arbor
Author disclosures Gabriel Solomon receives royalties from the VA Technology Transfer Program related to the use of inpatient dashboard. The other authors report no actual or potential conflicts of interest or outside sources of funding with regards to this article.
Fed Pract. 2025;42(3). Published online March 19. doi:10.12788/fp.0564
Author and Disclosure Information
Christopher Grondin, MDa,b; Jawad Al-Khafaji, MD, MSHAa,b; Gabriel Solomon, MDa,b
Author affiliations aVeterans Affairs Ann Arbor Healthcare System, Michigan bUniversity of Michigan, Ann Arbor
Author disclosures Gabriel Solomon receives royalties from the VA Technology Transfer Program related to the use of inpatient dashboard. The other authors report no actual or potential conflicts of interest or outside sources of funding with regards to this article.
Electronic health records (EHRs) are an integral part of modern health care. The 2009, Health Information Technology for Economic and Clinical Health Act established financial incentives for US hospitals to adopt EHRs. In 2009 only 12% of nonfederal acute care hospitals had adopted a certified EHR system, which increased to 96% by 2021.1
EHRs have transformed the way patient data are stored and accessed, streamlining the process of providing quality patient care with improvements in efficiency, effectiveness, patient satisfaction, and safety.2 Despite their widespread adoption and benefits, EHRs have generally been met with mixed physician satisfaction.3 Interactions with EHRs are linked to disproportionate time at the computer and physician burnout.4-6
The US Department of Veterans Affairs (VA) was at the forefront of EHR development, establishing the Veterans Health Information Systems and Technology Architecture (VistA) in the 1970s. The VA released the Computerized Patient Record System (CPRS) in 1997, the first clinical user interface for VistA. In May 2018, the VA signed a $10 billion contract with Cerner (now Oracle Health) to modernize its EHR.7 This was later revised to $16.1 billion, and the Institute for Defense Analyses estimates it will cost $49.8 billion.8 The transition to Oracle Health has been faced with significant challenges, including patient safety risks and workflow inefficiencies, leading to a pause in rollout.9
Due to the known challenges with EHRs and the aging CPRS system (without a scheduled replacement date), innovations that facilitate the synthesis and display of clinical information are needed. To address this gap, the VA Ann Arbor Healthcare System (VAAAHS) developed the Inpatient Dashboard, an online EHR companion tool. The Inpatient Dashboard was designed to draw data from VistA to reduce time spent at the computer by streamlining clinical information presentation, standardizing inpatient notes, improving safety measures, and enhancing overall clinician satisfaction. This study evaluated the adoption and user experience with the Inpatient Dashboard.
INPATIENT DASHBOARD
The Inpatient Dashboard consists of several modules created by a contractor for the VAAAHS that is housed on VA servers with access restricted to individuals with patient health data privileges. As the Inpatient Dashboard draws data from VistA, it can display laboratory information, studies, and notes from all VA sites.
The main dashboard is a snapshot summary of patient information, including patient location, code status, last vital sign readings, vital sign ranges over the previous 24 hours, intake/output, deep vein thrombosis (DVT) prophylaxis, the presence of telemetry orders, or use of Foley or central catheters (Figure). It also includes a customizable to-do list and contact information for the patient’s clinician and nurse. Significant events, such as abnormal vital signs or speciation/sensitivities for blood cultures, are automatically populated on the to-do list. From this main dashboard overview, clinicians can customize which patients are displayed, create and print a rounding list, print a sign-out sheet, or select individual patients to open a progress note module.
Notes can be written in the patient history and physical module, progress note module, and discharge summary module. The patient history and physical module has text blocks allocated to the traditional components of a history and physical note (ie, chief complaint, history of present illness, review of systems, past medical history, family history, social history, allergies, medications, physical examination, assessment, and plan) (eAppendix 1). Some elements, such as past medical history, family history, and social history are prepopulated if the patient was previously admitted. Vital signs, laboratory results, studies, microbiology/ pathology reports, and other CPRS notes are displayed in this module.
The progress note module contains text blocks allocated to the traditional components of a progress note, such as subjective/interval events, physical examination, assessment, and plan (eAppendix 2). Vital signs, laboratory results, studies, microbiology/ pathology reports, other CPRS notes, and the patient’s medication administration record are also displayed in this module. Lastly, the discharge summary module includes patient follow-up, patient instructions, hospitalization summary, medication reconciliation, laboratory results, and studies/procedures, ensuring a comprehensive discharge summary for patients and clinicians (eAppendix 3).
A medication reconciliation tool was embedded within the history and physical and discharge summary modules. This tool has been shown to reduce medication errors in patients admitted from the emergency department to the hospital (eAppendix 4).10 The handoff/sign-out tool (eAppendix 5) accessible through the main dashboard page is modeled on the I-PASS handoff framework.11,12 This includes the patient identifier, interval events, inpatient medications, specific sign-out guidance, sign-out tasks/to-dos, and any other pertinent information.
The Inpatient Dashboard is a team-based construct shared by the attending physicians, residents, and medical students. Each team (eg, general medicine, general surgery) is its own entity; only team members can change the content or add to the documentation. Each facility can have multiple teams caring for the same patient (eg, primary and consulting teams). Additional care members can also be incorporated (eg, pharmacists assist with medication reconciliation for admission and discharge at VAAAHS). The Inpatient Dashboard can export information directly to CPRS for clinicians to review and sign. It can also generate a note that can be pasted into CPRS.
Clinician Feedback and Satisfaction
A survey was developed to evaluate clinician experiences with using the Inpatient Dashboard as an adjunct to the CPRS. The Inpatient Dashboard was made available to general medicine teams in November 2018. The survey was conducted from December 2018 to September 2019. The study was conducted at the VAAAHS and included 4 general medicine teams. Each team included an attending physician, a senior resident, 2 to 3 interns, and 3 to 4 medical students. Eligibility was extended to any team member who used both the CPRS and Inpatient Dashboard. Participation in the survey was voluntary. All respondents were informed of the study’s purpose and encouraged to provide candid feedback to ensure the reliability and validity of the findings.
Data were collected through a semistructured survey administered via the Qualtrics platform. The questionnaire was designed to capture multidimensional insights into clinician experience, with particular focus on satisfaction, efficiency, and perceived safety when using the tool as an adjunct to CPRS compared to using CPRS alone. The questionnaire primarily used a Likert scale for responses. Surveys were emailed at the completion of a team’s 1-month inpatient block. An answer was not required for every question, resulting in slightly different response numbers for some questions.
A question regarding the tool’s impact on workload stress was added halfway through the study period, which resulted in fewer responses. Adoption was assessed by counting the Inpatient Dashboard unique users. Descriptive statistics were used within individual survey responses to report the distribution of responses. Differences in response between levels of training were assessed using a X2 test of independence.
Survey Results
From September 2023 through November 2023, there were 1549 rounding printouts across 144 unique users (5 nurses, 40 medical students, 87 residents, and 12 attending physicians) and 1468 handoff printouts across 148 unique users (5 nurses, 10 medical students, 111 residents, and 22 attending physicians). The clinician survey received 68 responses from users at various levels of medical training: 23 medical students, 31 interns, 12 senior residents, and 2 attending physicians. All 68 participants confirmed they had used the Inpatient Dashboard.
User satisfaction and preference for the Inpatient Dashboard vs CPRS were assessed. Sixty-one respondents (90%) expressed overall satisfaction with the Inpatient Dashboard; 22 (32%) were extremely satisfied, and 39 (57%) were somewhat satisfied (Table 1). Three respondents (4%) were neutral, 2 (3%) were somewhat dissatisfied, and 2 (3%) were extremely dissatisfied with the Inpatient Dashboard. Responses differed by level of training (P = .03), with medical students trending towards higher satisfaction.
Respondents preferred the Inpatient Dashboard over CPRS for gathering information and writing progress notes; 42 (64%) respondents mostly favored the Inpatient Dashboard, 15 (23%) slightly favored the Inpatient Dashboard over CPRS, and 8 (12%) were neutral. One respondent (2%) slightly favored CPRS to the Inpatient Dashboard (Table 2).
Sixty-five respondents (100%) found the Inpatient Dashboard’s ability to summarize patient information in a central place helpful (Table 3). Among them, 53 (82%) respondents reported it was very or extremely helpful, 10 (15%) respondents reported it was moderately helpful, and 2 (3%) respondents reported it was slightly helpful. This feature positively impacted users’ awareness of patients with DVT prophylaxis or a Foley catheter. Ten (15%) respondents reported being much more aware, and 29 (45%) respondents reporting they were slightly more aware. The remaining 26 (40%) respondents reported no change in awareness.
The Inpatient Dashboard was reported to save time preparing for physician rounds by 52 (80%) respondents, contributing to much greater efficiency for 29 (45%) respondents and slightly more efficiency for 23 (35%) respondents. However, 10 (15%) respondents reported no change in efficiency, and 3 (5%) respondents reduced efficiency, with 1 (2%) respondent reporting it slightly less efficient and 2 (3%) respondents reporting it much less efficient. Responses differed by level of training (P = .01), with medical students trending towards higher efficiency. Of the 23 respondents who reported on the Inpatient Dashboard’s impact on daily workload stress level, 22 (96%) indicated the tool had a stress-reducing effect, with 9 (39%) experiencing a major reduction in stress level, and 13 (57%) experiencing somewhat reduced stress level. Only 1 participant (4%) reported no change in stress. No participants reported an increase in stress.
DISCUSSION
The adoption of EHRs has transformed operational modalities in contemporary health care systems, heralding advancements in patient satisfaction, safety, and overall quality and efficiency of care.1,2 However, EHRs still present challenges, predominantly around clinician satisfaction, marked by instances of burnout and increased time spent on computers.2-6 In this context, the Inpatient Dashboard, an online companion to the CPRS, exemplifies how user-centered innovations in EHRs can address and mitigate associated challenges.
The Inpatient Dashboard has been well received with most respondents of the survey conducted in this study indicating they were both satisfied with the instrument and preferring it to CPRS. This high approval aligns with existing literature on the potential advantages of user-centered design in health care technology.13 The tool has gained widespread acceptance at the VAAAHS even in the absence of obligatory usage or institutional incentives. The appeal of the Inpatient Dashboard may stem from its increased efficiency, with most users affirming its timesaving nature. While CPRS can only display local notes, laboratory results, and studies, the Inpatient Dashboard can display data from across all VA sites. The VA Joint Longitudinal Viewer can similarly display data from across all sites, but the display is not streamlined as it is in the Inpatient Dashboard. The Inpatient Dashboard incorporates this clinical information into a single page to facilitate day-to-day workflow and dynamic documentation (ie, reviewing laboratory results, medications, writing notes, and signing out patients). This increased efficiency allows clinicians to counter 2 common barriers to EHR implementation: productivity loss and insufficient time.14
The association between EHRs and improved quality and safety in health care is well-documented.3 The Inpatient Dashboard fortifies this association by enhancing awareness around patient status, evidenced by a majority of respondents, and by integrating a medication reconciliation tool to decrease medication errors on transition from the emergency department to inpatient hospitalization.10
The Inpatient Dashboard’s impact on alleviating daily workload stress is noteworthy, with almost all respondents experiencing reduced stress levels and physician burnout, which has been linked to deteriorating well-being, compromised patient safety, and escalated health care costs.15,16 The heightened susceptibility of physicians to burnout compared to other professionals underscores the imperative for incorporating stress-mitigating interventions in the EHR.17,18
While responses to most questions did not significantly differ by training levels, overall satisfaction with the Inpatient Dashboard and its ability to save time preparing for rounds were rated higher by medical students. This may be attributable to a greater derived benefit from collating and presenting data to learners with less familiarity with the native EHR. It is also notable that the Inpatient Dashboard allows medical students to directly contribute to a patient’s note, which could be another driver in satisfaction. While most interns still felt the Inpatient Dashboard enabled them to save time preparing for rounds, there were a considerable number of ‘no change’ responses, which suggests some interns may not have modified their existing prerounding strategies. These associations are limited by the relatively small number of respondents by learner category, with senior medical residents and attending physicians being underrepresented.
While there are a multitude of dashboards available at the VA, most are made to track certain quality metrics and are used more by administrative and leadership staff. The Inpatient Dashboard was created specifically for frontline clinicians to facilitate their day-to-day workflow and dynamic documentation. This tool can additionally help with quality metrics, though its main purpose was and is to make clinician workflow easier and more efficient.
These results are especially timely because the VA is modernizing its EHR by transitioning to Oracle Health.7 Due to the numerous reports both from veterans and VA clinicians that the Oracle Health EHR is not meeting expectations, deployment at further sites has been halted while improving the experience of the 5 institutions using Oracle Health is prioritized.9 The Inpatient Dashboard, instead of being merely an enhancement to CPRS, could emerge as a potential bridge to Oracle Health if adapted to display data from Oracle Health as it does VistA. This would facilitate a smoother, more integrated transition for those health care institutions employing the Inpatient Dashboard.
Limitations
The reliance on self-reported data inherently carries the risk of bias, and the absence of objective measures, like time-tracking studies, limits the quantifiable assessment of the Inpatient Dashboard efficacy. The single-center nature of the study also may restrict the generalizability of the results.
CONCLUSIONS
Optimal integration of EHRs into health care delivery is critical to high-quality patient care and operational efficiency. The Inpatient Dashboard is an example of an innovative, user-centric solution that integrated and presented clinical information in a way that produced high satisfaction and adoption by users at a VA hospital.
Electronic health records (EHRs) are an integral part of modern health care. The 2009, Health Information Technology for Economic and Clinical Health Act established financial incentives for US hospitals to adopt EHRs. In 2009 only 12% of nonfederal acute care hospitals had adopted a certified EHR system, which increased to 96% by 2021.1
EHRs have transformed the way patient data are stored and accessed, streamlining the process of providing quality patient care with improvements in efficiency, effectiveness, patient satisfaction, and safety.2 Despite their widespread adoption and benefits, EHRs have generally been met with mixed physician satisfaction.3 Interactions with EHRs are linked to disproportionate time at the computer and physician burnout.4-6
The US Department of Veterans Affairs (VA) was at the forefront of EHR development, establishing the Veterans Health Information Systems and Technology Architecture (VistA) in the 1970s. The VA released the Computerized Patient Record System (CPRS) in 1997, the first clinical user interface for VistA. In May 2018, the VA signed a $10 billion contract with Cerner (now Oracle Health) to modernize its EHR.7 This was later revised to $16.1 billion, and the Institute for Defense Analyses estimates it will cost $49.8 billion.8 The transition to Oracle Health has been faced with significant challenges, including patient safety risks and workflow inefficiencies, leading to a pause in rollout.9
Due to the known challenges with EHRs and the aging CPRS system (without a scheduled replacement date), innovations that facilitate the synthesis and display of clinical information are needed. To address this gap, the VA Ann Arbor Healthcare System (VAAAHS) developed the Inpatient Dashboard, an online EHR companion tool. The Inpatient Dashboard was designed to draw data from VistA to reduce time spent at the computer by streamlining clinical information presentation, standardizing inpatient notes, improving safety measures, and enhancing overall clinician satisfaction. This study evaluated the adoption and user experience with the Inpatient Dashboard.
INPATIENT DASHBOARD
The Inpatient Dashboard consists of several modules created by a contractor for the VAAAHS that is housed on VA servers with access restricted to individuals with patient health data privileges. As the Inpatient Dashboard draws data from VistA, it can display laboratory information, studies, and notes from all VA sites.
The main dashboard is a snapshot summary of patient information, including patient location, code status, last vital sign readings, vital sign ranges over the previous 24 hours, intake/output, deep vein thrombosis (DVT) prophylaxis, the presence of telemetry orders, or use of Foley or central catheters (Figure). It also includes a customizable to-do list and contact information for the patient’s clinician and nurse. Significant events, such as abnormal vital signs or speciation/sensitivities for blood cultures, are automatically populated on the to-do list. From this main dashboard overview, clinicians can customize which patients are displayed, create and print a rounding list, print a sign-out sheet, or select individual patients to open a progress note module.
Notes can be written in the patient history and physical module, progress note module, and discharge summary module. The patient history and physical module has text blocks allocated to the traditional components of a history and physical note (ie, chief complaint, history of present illness, review of systems, past medical history, family history, social history, allergies, medications, physical examination, assessment, and plan) (eAppendix 1). Some elements, such as past medical history, family history, and social history are prepopulated if the patient was previously admitted. Vital signs, laboratory results, studies, microbiology/ pathology reports, and other CPRS notes are displayed in this module.
The progress note module contains text blocks allocated to the traditional components of a progress note, such as subjective/interval events, physical examination, assessment, and plan (eAppendix 2). Vital signs, laboratory results, studies, microbiology/ pathology reports, other CPRS notes, and the patient’s medication administration record are also displayed in this module. Lastly, the discharge summary module includes patient follow-up, patient instructions, hospitalization summary, medication reconciliation, laboratory results, and studies/procedures, ensuring a comprehensive discharge summary for patients and clinicians (eAppendix 3).
A medication reconciliation tool was embedded within the history and physical and discharge summary modules. This tool has been shown to reduce medication errors in patients admitted from the emergency department to the hospital (eAppendix 4).10 The handoff/sign-out tool (eAppendix 5) accessible through the main dashboard page is modeled on the I-PASS handoff framework.11,12 This includes the patient identifier, interval events, inpatient medications, specific sign-out guidance, sign-out tasks/to-dos, and any other pertinent information.
The Inpatient Dashboard is a team-based construct shared by the attending physicians, residents, and medical students. Each team (eg, general medicine, general surgery) is its own entity; only team members can change the content or add to the documentation. Each facility can have multiple teams caring for the same patient (eg, primary and consulting teams). Additional care members can also be incorporated (eg, pharmacists assist with medication reconciliation for admission and discharge at VAAAHS). The Inpatient Dashboard can export information directly to CPRS for clinicians to review and sign. It can also generate a note that can be pasted into CPRS.
Clinician Feedback and Satisfaction
A survey was developed to evaluate clinician experiences with using the Inpatient Dashboard as an adjunct to the CPRS. The Inpatient Dashboard was made available to general medicine teams in November 2018. The survey was conducted from December 2018 to September 2019. The study was conducted at the VAAAHS and included 4 general medicine teams. Each team included an attending physician, a senior resident, 2 to 3 interns, and 3 to 4 medical students. Eligibility was extended to any team member who used both the CPRS and Inpatient Dashboard. Participation in the survey was voluntary. All respondents were informed of the study’s purpose and encouraged to provide candid feedback to ensure the reliability and validity of the findings.
Data were collected through a semistructured survey administered via the Qualtrics platform. The questionnaire was designed to capture multidimensional insights into clinician experience, with particular focus on satisfaction, efficiency, and perceived safety when using the tool as an adjunct to CPRS compared to using CPRS alone. The questionnaire primarily used a Likert scale for responses. Surveys were emailed at the completion of a team’s 1-month inpatient block. An answer was not required for every question, resulting in slightly different response numbers for some questions.
A question regarding the tool’s impact on workload stress was added halfway through the study period, which resulted in fewer responses. Adoption was assessed by counting the Inpatient Dashboard unique users. Descriptive statistics were used within individual survey responses to report the distribution of responses. Differences in response between levels of training were assessed using a X2 test of independence.
Survey Results
From September 2023 through November 2023, there were 1549 rounding printouts across 144 unique users (5 nurses, 40 medical students, 87 residents, and 12 attending physicians) and 1468 handoff printouts across 148 unique users (5 nurses, 10 medical students, 111 residents, and 22 attending physicians). The clinician survey received 68 responses from users at various levels of medical training: 23 medical students, 31 interns, 12 senior residents, and 2 attending physicians. All 68 participants confirmed they had used the Inpatient Dashboard.
User satisfaction and preference for the Inpatient Dashboard vs CPRS were assessed. Sixty-one respondents (90%) expressed overall satisfaction with the Inpatient Dashboard; 22 (32%) were extremely satisfied, and 39 (57%) were somewhat satisfied (Table 1). Three respondents (4%) were neutral, 2 (3%) were somewhat dissatisfied, and 2 (3%) were extremely dissatisfied with the Inpatient Dashboard. Responses differed by level of training (P = .03), with medical students trending towards higher satisfaction.
Respondents preferred the Inpatient Dashboard over CPRS for gathering information and writing progress notes; 42 (64%) respondents mostly favored the Inpatient Dashboard, 15 (23%) slightly favored the Inpatient Dashboard over CPRS, and 8 (12%) were neutral. One respondent (2%) slightly favored CPRS to the Inpatient Dashboard (Table 2).
Sixty-five respondents (100%) found the Inpatient Dashboard’s ability to summarize patient information in a central place helpful (Table 3). Among them, 53 (82%) respondents reported it was very or extremely helpful, 10 (15%) respondents reported it was moderately helpful, and 2 (3%) respondents reported it was slightly helpful. This feature positively impacted users’ awareness of patients with DVT prophylaxis or a Foley catheter. Ten (15%) respondents reported being much more aware, and 29 (45%) respondents reporting they were slightly more aware. The remaining 26 (40%) respondents reported no change in awareness.
The Inpatient Dashboard was reported to save time preparing for physician rounds by 52 (80%) respondents, contributing to much greater efficiency for 29 (45%) respondents and slightly more efficiency for 23 (35%) respondents. However, 10 (15%) respondents reported no change in efficiency, and 3 (5%) respondents reduced efficiency, with 1 (2%) respondent reporting it slightly less efficient and 2 (3%) respondents reporting it much less efficient. Responses differed by level of training (P = .01), with medical students trending towards higher efficiency. Of the 23 respondents who reported on the Inpatient Dashboard’s impact on daily workload stress level, 22 (96%) indicated the tool had a stress-reducing effect, with 9 (39%) experiencing a major reduction in stress level, and 13 (57%) experiencing somewhat reduced stress level. Only 1 participant (4%) reported no change in stress. No participants reported an increase in stress.
DISCUSSION
The adoption of EHRs has transformed operational modalities in contemporary health care systems, heralding advancements in patient satisfaction, safety, and overall quality and efficiency of care.1,2 However, EHRs still present challenges, predominantly around clinician satisfaction, marked by instances of burnout and increased time spent on computers.2-6 In this context, the Inpatient Dashboard, an online companion to the CPRS, exemplifies how user-centered innovations in EHRs can address and mitigate associated challenges.
The Inpatient Dashboard has been well received with most respondents of the survey conducted in this study indicating they were both satisfied with the instrument and preferring it to CPRS. This high approval aligns with existing literature on the potential advantages of user-centered design in health care technology.13 The tool has gained widespread acceptance at the VAAAHS even in the absence of obligatory usage or institutional incentives. The appeal of the Inpatient Dashboard may stem from its increased efficiency, with most users affirming its timesaving nature. While CPRS can only display local notes, laboratory results, and studies, the Inpatient Dashboard can display data from across all VA sites. The VA Joint Longitudinal Viewer can similarly display data from across all sites, but the display is not streamlined as it is in the Inpatient Dashboard. The Inpatient Dashboard incorporates this clinical information into a single page to facilitate day-to-day workflow and dynamic documentation (ie, reviewing laboratory results, medications, writing notes, and signing out patients). This increased efficiency allows clinicians to counter 2 common barriers to EHR implementation: productivity loss and insufficient time.14
The association between EHRs and improved quality and safety in health care is well-documented.3 The Inpatient Dashboard fortifies this association by enhancing awareness around patient status, evidenced by a majority of respondents, and by integrating a medication reconciliation tool to decrease medication errors on transition from the emergency department to inpatient hospitalization.10
The Inpatient Dashboard’s impact on alleviating daily workload stress is noteworthy, with almost all respondents experiencing reduced stress levels and physician burnout, which has been linked to deteriorating well-being, compromised patient safety, and escalated health care costs.15,16 The heightened susceptibility of physicians to burnout compared to other professionals underscores the imperative for incorporating stress-mitigating interventions in the EHR.17,18
While responses to most questions did not significantly differ by training levels, overall satisfaction with the Inpatient Dashboard and its ability to save time preparing for rounds were rated higher by medical students. This may be attributable to a greater derived benefit from collating and presenting data to learners with less familiarity with the native EHR. It is also notable that the Inpatient Dashboard allows medical students to directly contribute to a patient’s note, which could be another driver in satisfaction. While most interns still felt the Inpatient Dashboard enabled them to save time preparing for rounds, there were a considerable number of ‘no change’ responses, which suggests some interns may not have modified their existing prerounding strategies. These associations are limited by the relatively small number of respondents by learner category, with senior medical residents and attending physicians being underrepresented.
While there are a multitude of dashboards available at the VA, most are made to track certain quality metrics and are used more by administrative and leadership staff. The Inpatient Dashboard was created specifically for frontline clinicians to facilitate their day-to-day workflow and dynamic documentation. This tool can additionally help with quality metrics, though its main purpose was and is to make clinician workflow easier and more efficient.
These results are especially timely because the VA is modernizing its EHR by transitioning to Oracle Health.7 Due to the numerous reports both from veterans and VA clinicians that the Oracle Health EHR is not meeting expectations, deployment at further sites has been halted while improving the experience of the 5 institutions using Oracle Health is prioritized.9 The Inpatient Dashboard, instead of being merely an enhancement to CPRS, could emerge as a potential bridge to Oracle Health if adapted to display data from Oracle Health as it does VistA. This would facilitate a smoother, more integrated transition for those health care institutions employing the Inpatient Dashboard.
Limitations
The reliance on self-reported data inherently carries the risk of bias, and the absence of objective measures, like time-tracking studies, limits the quantifiable assessment of the Inpatient Dashboard efficacy. The single-center nature of the study also may restrict the generalizability of the results.
CONCLUSIONS
Optimal integration of EHRs into health care delivery is critical to high-quality patient care and operational efficiency. The Inpatient Dashboard is an example of an innovative, user-centric solution that integrated and presented clinical information in a way that produced high satisfaction and adoption by users at a VA hospital.
Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff (Millwood). 2011;30(3):464-471. doi:10.1377/hlthaff.2011.0178
Nguyen L, Bellucci E, Nguyen LT. Electronic health records implementation: an evaluation of information system impact and contingency factors. Int J Med Inf. 2014;83(11):779-796. doi:10.1016/j.ijmedinf.2014.06.011
Alexander AG, Ballou KA. Work-life balance, burnout, and the electronic health record. Am J Med. 2018;131(8):857- 858. doi:10.1016/j.amjmed.2018.02.033
Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med. 2016;165(11):753-760. doi:10.7326/M16-0961
Chaiyachati KH, Shea JA, Asch DA, et al. Assessment of inpatient time allocation among first-year internal medicine residents using time-motion observations. JAMA Intern Med. 2019;179(6):760-767. doi:10.1001/jamainternmed.2019.0095
US Government Publishing Office. VA’s Electronic health record modernization: an update on rollout, cost, and schedule. Subcommittee on Military Construction, Veterans Affairs, and Related Agencies, Committee on Appropriations, United States Senate. 117th Congress, 2nd Session. September 21, 2022. Accessed February 5, 2025. https://www.govinfo.gov/content/pkg/CHRG-117shrg52328/html/CHRG-117shrg52328.htm
Grondin C, Gupta A, Houchens N, et al. Medication reconciliation tool reduces errors in patients admitted from the ED to hospital. Am J Med Qual. 2021;36(2):129. doi:10.1097/01.JMQ.0000741500.33781.eb
Starmer AJ, Spector ND, Srivastava R, et al. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):1803-1812. doi:10.1056/NEJMsa1405556
Starmer AJ, O’Toole JK, Rosenbluth G, et al. Development, implementation, and dissemination of the I-PASS handoff curriculum: a multisite educational intervention to improve patient handoffs. Acad Med. 2014;89(6):876-884. doi:10.1097/ACM.0000000000000264
Ratwani RM, Fairbanks RJ, Hettinger AZ, Benda NC. Electronic health record usability: analysis of the user-centered design processes of eleven electronic health record vendors. J Am Med Inform Assoc. 2015;22(6):1179-1182. doi:10.1093/jamia/ocv050
Kruse CS, Kristof C, Jones B, Mitchell E, Martinez A. Barriers to electronic health record adoption: a systematic literature review. J Med Syst. 2016;40(12):252. doi:10.1007/s10916-016-0628-9
West CP, Dyrbye LN, Shanafelt TD. Physician burnout: contributors, consequences and solutions. J Intern Med. 2018;283(6):516-529. doi:10.1111/joim.12752
Smeds MR, Janko MR, Allen S, et al. Burnout and its relationship with perceived stress, self-efficacy, depression, social support, and programmatic factors in general surgery residents. Am J Surg. 2020;219(6):907- 912. doi:10.1016/j.amjsurg.2019.07.004
Shanafelt TD, Boone S, Tan L, et al. Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch Intern Med. 2012;172(18):1377-1385. doi:10.1001/archinternmed.2012.3199
Budd J. Burnout related to electronic health record use in primary care. J Prim Care Community Health. 2023;14:21501319231166921. doi:10.1177/21501319231166921
Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff (Millwood). 2011;30(3):464-471. doi:10.1377/hlthaff.2011.0178
Nguyen L, Bellucci E, Nguyen LT. Electronic health records implementation: an evaluation of information system impact and contingency factors. Int J Med Inf. 2014;83(11):779-796. doi:10.1016/j.ijmedinf.2014.06.011
Alexander AG, Ballou KA. Work-life balance, burnout, and the electronic health record. Am J Med. 2018;131(8):857- 858. doi:10.1016/j.amjmed.2018.02.033
Sinsky C, Colligan L, Li L, et al. Allocation of physician time in ambulatory practice: a time and motion study in 4 specialties. Ann Intern Med. 2016;165(11):753-760. doi:10.7326/M16-0961
Chaiyachati KH, Shea JA, Asch DA, et al. Assessment of inpatient time allocation among first-year internal medicine residents using time-motion observations. JAMA Intern Med. 2019;179(6):760-767. doi:10.1001/jamainternmed.2019.0095
US Government Publishing Office. VA’s Electronic health record modernization: an update on rollout, cost, and schedule. Subcommittee on Military Construction, Veterans Affairs, and Related Agencies, Committee on Appropriations, United States Senate. 117th Congress, 2nd Session. September 21, 2022. Accessed February 5, 2025. https://www.govinfo.gov/content/pkg/CHRG-117shrg52328/html/CHRG-117shrg52328.htm
Grondin C, Gupta A, Houchens N, et al. Medication reconciliation tool reduces errors in patients admitted from the ED to hospital. Am J Med Qual. 2021;36(2):129. doi:10.1097/01.JMQ.0000741500.33781.eb
Starmer AJ, Spector ND, Srivastava R, et al. Changes in medical errors after implementation of a handoff program. N Engl J Med. 2014;371(19):1803-1812. doi:10.1056/NEJMsa1405556
Starmer AJ, O’Toole JK, Rosenbluth G, et al. Development, implementation, and dissemination of the I-PASS handoff curriculum: a multisite educational intervention to improve patient handoffs. Acad Med. 2014;89(6):876-884. doi:10.1097/ACM.0000000000000264
Ratwani RM, Fairbanks RJ, Hettinger AZ, Benda NC. Electronic health record usability: analysis of the user-centered design processes of eleven electronic health record vendors. J Am Med Inform Assoc. 2015;22(6):1179-1182. doi:10.1093/jamia/ocv050
Kruse CS, Kristof C, Jones B, Mitchell E, Martinez A. Barriers to electronic health record adoption: a systematic literature review. J Med Syst. 2016;40(12):252. doi:10.1007/s10916-016-0628-9
West CP, Dyrbye LN, Shanafelt TD. Physician burnout: contributors, consequences and solutions. J Intern Med. 2018;283(6):516-529. doi:10.1111/joim.12752
Smeds MR, Janko MR, Allen S, et al. Burnout and its relationship with perceived stress, self-efficacy, depression, social support, and programmatic factors in general surgery residents. Am J Surg. 2020;219(6):907- 912. doi:10.1016/j.amjsurg.2019.07.004
Shanafelt TD, Boone S, Tan L, et al. Burnout and satisfaction with work-life balance among US physicians relative to the general US population. Arch Intern Med. 2012;172(18):1377-1385. doi:10.1001/archinternmed.2012.3199
Budd J. Burnout related to electronic health record use in primary care. J Prim Care Community Health. 2023;14:21501319231166921. doi:10.1177/21501319231166921
A burst sprinkler pipe and broken steam system caused significant infrastructure failures and wreaked havoc on patient care at Walter Reed National Military Medical Center in January.
An email sent to Walter Reed staff from the medical center’s director, Navy Capt. Melissa C. Austin, said 60,000 gallons of water, or enough “to fill a 25x50 foot swimming pool” flooded throughout the facility on Jan. 20before it was contained, damaging 50 rooms and 6 elevators.
Frozen pipes burst due to extreme cold, and the issues were exacerbated by aging infrastructure and “deferred maintenance due to underfunding,” the Defense Health Agency (DHA), which oversees Walter Reed, said in a public statement.
The damage was severe enough to impact patient care. The facility had to evacuate the neonatal intensive care unit as well as several clinics. The steam system outages also meant operating rooms had fewer clean surgical tools available and had to send them to regional hospitals for sterilization, staffers told The Washington Post. Health care workers could not “flash sterilize” equipment in emergencies, further risking patient safety.
Rick McNamara, a spokesperson for the Defense Health Network National Capital Region, confirmed other hospitals are “sharing the burden” to sterilize equipment. McNamara said it could take 6 weeks to complete the immediate repairs, which will cost between $1 million and $2 million.
Patient appointments were delayed, and nonemergency procedures were canceled or delayed. Overall, 212 patients were “deferred or rescheduled,” and 56 other patients were sent to other hospitals to receive care.
Defense Secretary Pete Hegseth said on Jan. 31 the problem was “real and unacceptable” in response to a video circulating on social media that showed flooding.
Acknowledging that the water damage “temporarily impacted health care operations,” the Defense Department says DHA and Walter Reed staff were “working diligently around the clock” to find and implement solutions while minimizing disruptions to patient care: “High waters and loss of steam pressure impacted the capacity of services delivered, but the ability to deliver the hospital’s core capabilities of safe, quality care was never compromised,” the agency said.
In response to the flooding, the hospital moved quickly to provide the required urgent care: “We are utilizing all the hospitals and clinics in the National Capital Region Network from Malcom Grow at Joint Base Andrews to Kimbrough Ambulatory Care Center at Fort Meade to the Alexander T. Augusta Military Medical Center at Fort Belvoir,” Capt. Austin said.
DHA is also funding emergency work orders and contract modifications required to return Walter Reed to full operational capability. It is prioritizing resources for repairs and is collaborating with the Naval Installations Command and Naval Support Activity Bethesda to implement necessary repairs.
“This acute issue is being managed aggressively to ensure patient care continues to be delivered safely,” DHA said
A burst sprinkler pipe and broken steam system caused significant infrastructure failures and wreaked havoc on patient care at Walter Reed National Military Medical Center in January.
An email sent to Walter Reed staff from the medical center’s director, Navy Capt. Melissa C. Austin, said 60,000 gallons of water, or enough “to fill a 25x50 foot swimming pool” flooded throughout the facility on Jan. 20before it was contained, damaging 50 rooms and 6 elevators.
Frozen pipes burst due to extreme cold, and the issues were exacerbated by aging infrastructure and “deferred maintenance due to underfunding,” the Defense Health Agency (DHA), which oversees Walter Reed, said in a public statement.
The damage was severe enough to impact patient care. The facility had to evacuate the neonatal intensive care unit as well as several clinics. The steam system outages also meant operating rooms had fewer clean surgical tools available and had to send them to regional hospitals for sterilization, staffers told The Washington Post. Health care workers could not “flash sterilize” equipment in emergencies, further risking patient safety.
Rick McNamara, a spokesperson for the Defense Health Network National Capital Region, confirmed other hospitals are “sharing the burden” to sterilize equipment. McNamara said it could take 6 weeks to complete the immediate repairs, which will cost between $1 million and $2 million.
Patient appointments were delayed, and nonemergency procedures were canceled or delayed. Overall, 212 patients were “deferred or rescheduled,” and 56 other patients were sent to other hospitals to receive care.
Defense Secretary Pete Hegseth said on Jan. 31 the problem was “real and unacceptable” in response to a video circulating on social media that showed flooding.
Acknowledging that the water damage “temporarily impacted health care operations,” the Defense Department says DHA and Walter Reed staff were “working diligently around the clock” to find and implement solutions while minimizing disruptions to patient care: “High waters and loss of steam pressure impacted the capacity of services delivered, but the ability to deliver the hospital’s core capabilities of safe, quality care was never compromised,” the agency said.
In response to the flooding, the hospital moved quickly to provide the required urgent care: “We are utilizing all the hospitals and clinics in the National Capital Region Network from Malcom Grow at Joint Base Andrews to Kimbrough Ambulatory Care Center at Fort Meade to the Alexander T. Augusta Military Medical Center at Fort Belvoir,” Capt. Austin said.
DHA is also funding emergency work orders and contract modifications required to return Walter Reed to full operational capability. It is prioritizing resources for repairs and is collaborating with the Naval Installations Command and Naval Support Activity Bethesda to implement necessary repairs.
“This acute issue is being managed aggressively to ensure patient care continues to be delivered safely,” DHA said
A burst sprinkler pipe and broken steam system caused significant infrastructure failures and wreaked havoc on patient care at Walter Reed National Military Medical Center in January.
An email sent to Walter Reed staff from the medical center’s director, Navy Capt. Melissa C. Austin, said 60,000 gallons of water, or enough “to fill a 25x50 foot swimming pool” flooded throughout the facility on Jan. 20before it was contained, damaging 50 rooms and 6 elevators.
Frozen pipes burst due to extreme cold, and the issues were exacerbated by aging infrastructure and “deferred maintenance due to underfunding,” the Defense Health Agency (DHA), which oversees Walter Reed, said in a public statement.
The damage was severe enough to impact patient care. The facility had to evacuate the neonatal intensive care unit as well as several clinics. The steam system outages also meant operating rooms had fewer clean surgical tools available and had to send them to regional hospitals for sterilization, staffers told The Washington Post. Health care workers could not “flash sterilize” equipment in emergencies, further risking patient safety.
Rick McNamara, a spokesperson for the Defense Health Network National Capital Region, confirmed other hospitals are “sharing the burden” to sterilize equipment. McNamara said it could take 6 weeks to complete the immediate repairs, which will cost between $1 million and $2 million.
Patient appointments were delayed, and nonemergency procedures were canceled or delayed. Overall, 212 patients were “deferred or rescheduled,” and 56 other patients were sent to other hospitals to receive care.
Defense Secretary Pete Hegseth said on Jan. 31 the problem was “real and unacceptable” in response to a video circulating on social media that showed flooding.
Acknowledging that the water damage “temporarily impacted health care operations,” the Defense Department says DHA and Walter Reed staff were “working diligently around the clock” to find and implement solutions while minimizing disruptions to patient care: “High waters and loss of steam pressure impacted the capacity of services delivered, but the ability to deliver the hospital’s core capabilities of safe, quality care was never compromised,” the agency said.
In response to the flooding, the hospital moved quickly to provide the required urgent care: “We are utilizing all the hospitals and clinics in the National Capital Region Network from Malcom Grow at Joint Base Andrews to Kimbrough Ambulatory Care Center at Fort Meade to the Alexander T. Augusta Military Medical Center at Fort Belvoir,” Capt. Austin said.
DHA is also funding emergency work orders and contract modifications required to return Walter Reed to full operational capability. It is prioritizing resources for repairs and is collaborating with the Naval Installations Command and Naval Support Activity Bethesda to implement necessary repairs.
“This acute issue is being managed aggressively to ensure patient care continues to be delivered safely,” DHA said
The US Department of Veterans Affairs (VA) has announced that tele-emergency care (tele-EC) is now available nationwide. According to the VA, the expansion has already helped > 61,000 callers with a 59.4% case resolution rate, meaning veterans’ needs were resolved without them having to travel to urgent care or an emergency department.
Tele-EC does not replace the need for in-person emergency evaluation, but offers quick, virtual triage assessments for veterans in rural areas or those with mobility and transportation challenges when in-person immediate care can be difficult to access. The program is a part of VA Health Connect, which connects the caller to a clinical triage nurse, who connects the veteran to tele-emergency care when clinically appropriate. Tele-EC practitioners evaluate the veteran over the phone or on video and recommend treatment or follow-up, including in-person care if needed. In life-threatening emergencies, the clinical triage nurse will call 911 and stay on the phone with the veteran until help arrives. The VA however, says the best step for a veteran experiencing a life-threatening emergency is to immediately contact 911 as opposed to seeking support via tele-EC.
The program can save time not only through on-the-spot evaluation, but by avoiding drive and wait times. “Sometimes, you’re not sure whether what you’re experiencing is a minor emergency or not — and tele-emergency care can help you resolve those questions,” VA Under Secretary for Health Shereef Elnahal, MD, says. “Veterans can get immediate, virtual triage with a VA medical provider who has direct access to their medical records. This avoids having to potentially drive to the nearest emergency department and wait to be evaluated, if appropriate.”
The US Department of Veterans Affairs (VA) has announced that tele-emergency care (tele-EC) is now available nationwide. According to the VA, the expansion has already helped > 61,000 callers with a 59.4% case resolution rate, meaning veterans’ needs were resolved without them having to travel to urgent care or an emergency department.
Tele-EC does not replace the need for in-person emergency evaluation, but offers quick, virtual triage assessments for veterans in rural areas or those with mobility and transportation challenges when in-person immediate care can be difficult to access. The program is a part of VA Health Connect, which connects the caller to a clinical triage nurse, who connects the veteran to tele-emergency care when clinically appropriate. Tele-EC practitioners evaluate the veteran over the phone or on video and recommend treatment or follow-up, including in-person care if needed. In life-threatening emergencies, the clinical triage nurse will call 911 and stay on the phone with the veteran until help arrives. The VA however, says the best step for a veteran experiencing a life-threatening emergency is to immediately contact 911 as opposed to seeking support via tele-EC.
The program can save time not only through on-the-spot evaluation, but by avoiding drive and wait times. “Sometimes, you’re not sure whether what you’re experiencing is a minor emergency or not — and tele-emergency care can help you resolve those questions,” VA Under Secretary for Health Shereef Elnahal, MD, says. “Veterans can get immediate, virtual triage with a VA medical provider who has direct access to their medical records. This avoids having to potentially drive to the nearest emergency department and wait to be evaluated, if appropriate.”
The US Department of Veterans Affairs (VA) has announced that tele-emergency care (tele-EC) is now available nationwide. According to the VA, the expansion has already helped > 61,000 callers with a 59.4% case resolution rate, meaning veterans’ needs were resolved without them having to travel to urgent care or an emergency department.
Tele-EC does not replace the need for in-person emergency evaluation, but offers quick, virtual triage assessments for veterans in rural areas or those with mobility and transportation challenges when in-person immediate care can be difficult to access. The program is a part of VA Health Connect, which connects the caller to a clinical triage nurse, who connects the veteran to tele-emergency care when clinically appropriate. Tele-EC practitioners evaluate the veteran over the phone or on video and recommend treatment or follow-up, including in-person care if needed. In life-threatening emergencies, the clinical triage nurse will call 911 and stay on the phone with the veteran until help arrives. The VA however, says the best step for a veteran experiencing a life-threatening emergency is to immediately contact 911 as opposed to seeking support via tele-EC.
The program can save time not only through on-the-spot evaluation, but by avoiding drive and wait times. “Sometimes, you’re not sure whether what you’re experiencing is a minor emergency or not — and tele-emergency care can help you resolve those questions,” VA Under Secretary for Health Shereef Elnahal, MD, says. “Veterans can get immediate, virtual triage with a VA medical provider who has direct access to their medical records. This avoids having to potentially drive to the nearest emergency department and wait to be evaluated, if appropriate.”
The US Department of Veterans Affairs (VA) has announced that tele-emergency care (tele-EC) is now available nationwide. According to the VA, the expansion has already helped > 61,000 callers with a 59.4% case resolution rate, meaning veterans’ needs were resolved without them having to travel to urgent care or an emergency department.
Tele-EC does not replace the need for in-person emergency evaluation, but offers quick, virtual triage assessments for veterans in rural areas or those with mobility and transportation challenges when in-person immediate care can be difficult to access. The program is a part of VA Health Connect, which connects the caller to a clinical triage nurse, who connects the veteran to tele-emergency care when clinically appropriate. Tele-EC practitioners evaluate the veteran over the phone or on video and recommend treatment or follow-up, including in-person care if needed. In life-threatening emergencies, the clinical triage nurse will call 911 and stay on the phone with the veteran until help arrives. The VA however, says the best step for a veteran experiencing a life-threatening emergency is to immediately contact 911 as opposed to seeking support via tele-EC.
The program can save time not only through on-the-spot evaluation, but by avoiding drive and wait times. “Sometimes, you’re not sure whether what you’re experiencing is a minor emergency or not — and tele-emergency care can help you resolve those questions,” VA Under Secretary for Health Shereef Elnahal, MD, says. “Veterans can get immediate, virtual triage with a VA medical provider who has direct access to their medical records. This avoids having to potentially drive to the nearest emergency department and wait to be evaluated, if appropriate.”
The US Department of Veterans Affairs (VA) has announced that tele-emergency care (tele-EC) is now available nationwide. According to the VA, the expansion has already helped > 61,000 callers with a 59.4% case resolution rate, meaning veterans’ needs were resolved without them having to travel to urgent care or an emergency department.
Tele-EC does not replace the need for in-person emergency evaluation, but offers quick, virtual triage assessments for veterans in rural areas or those with mobility and transportation challenges when in-person immediate care can be difficult to access. The program is a part of VA Health Connect, which connects the caller to a clinical triage nurse, who connects the veteran to tele-emergency care when clinically appropriate. Tele-EC practitioners evaluate the veteran over the phone or on video and recommend treatment or follow-up, including in-person care if needed. In life-threatening emergencies, the clinical triage nurse will call 911 and stay on the phone with the veteran until help arrives. The VA however, says the best step for a veteran experiencing a life-threatening emergency is to immediately contact 911 as opposed to seeking support via tele-EC.
The program can save time not only through on-the-spot evaluation, but by avoiding drive and wait times. “Sometimes, you’re not sure whether what you’re experiencing is a minor emergency or not — and tele-emergency care can help you resolve those questions,” VA Under Secretary for Health Shereef Elnahal, MD, says. “Veterans can get immediate, virtual triage with a VA medical provider who has direct access to their medical records. This avoids having to potentially drive to the nearest emergency department and wait to be evaluated, if appropriate.”
The US Department of Veterans Affairs (VA) has announced that tele-emergency care (tele-EC) is now available nationwide. According to the VA, the expansion has already helped > 61,000 callers with a 59.4% case resolution rate, meaning veterans’ needs were resolved without them having to travel to urgent care or an emergency department.
Tele-EC does not replace the need for in-person emergency evaluation, but offers quick, virtual triage assessments for veterans in rural areas or those with mobility and transportation challenges when in-person immediate care can be difficult to access. The program is a part of VA Health Connect, which connects the caller to a clinical triage nurse, who connects the veteran to tele-emergency care when clinically appropriate. Tele-EC practitioners evaluate the veteran over the phone or on video and recommend treatment or follow-up, including in-person care if needed. In life-threatening emergencies, the clinical triage nurse will call 911 and stay on the phone with the veteran until help arrives. The VA however, says the best step for a veteran experiencing a life-threatening emergency is to immediately contact 911 as opposed to seeking support via tele-EC.
The program can save time not only through on-the-spot evaluation, but by avoiding drive and wait times. “Sometimes, you’re not sure whether what you’re experiencing is a minor emergency or not — and tele-emergency care can help you resolve those questions,” VA Under Secretary for Health Shereef Elnahal, MD, says. “Veterans can get immediate, virtual triage with a VA medical provider who has direct access to their medical records. This avoids having to potentially drive to the nearest emergency department and wait to be evaluated, if appropriate.”
Case Presentation:A 65-year-old male veteran presented to the Veterans Affairs Boston Healthcare System (VABHS) emergency department with progressive fatigue, dyspnea on exertion, lightheadedness, and falls over the last month. New bilateral lower extremity numbness up to his knees developed in the week prior to admission and prompted him to seek care. Additional history included 2 episodes of transient loss of consciousness resulting in falls and a week of diarrhea, which had resolved. His medical history was notable for hypothyroidism secondary to Hashimoto thyroiditis, seizure disorder, vitiligo, treated hepatitis C virus (HCV) infection, alcohol use disorder in remission, diabetes mellitus, posttraumatic stress disorder, and traumatic brain injury. His medications included levothyroxine and carbamazepine. He previously worked as a barber but recently had stopped due to cognitive impairment. On initial evaluation, the patient's vital signs included a temperature of 36.3 °C, heart rate of 77 beats per minute, blood pressure of 139/83 mm Hg, respiratory rate of 18 breaths per minute, and 99% oxygen saturation while breathing ambient air. Physical examination was notable for a frail-appearing man in no acute distress. His conjunctivae were pale, and cardiac auscultation revealed a normal heart rate and irregularly irregular heart rhythm. A neurologic examination revealed decreased vibratory sensation in both feet, delayed and minimal speech, and a blunted affect. His skin was warm and dry with patchy hypopigmentation across the face and forehead. Laboratory results are shown in the Table. Testing 2 years previously found the patient's hemoglobin to be 11.4 g/dL and serum creatinine to be 1.7 mg/dL. A peripheral blood smear showed anisocytosis, hypochromia, decreased platelets, ovalocytes, elliptocytes, and rare teardrop cells, with no schistocytes present. Chest radiography and computed tomography of the head were unremarkable. An abdominal ultrasound revealed a complex hypoechoic mass with peripheral rim vascularity in the right hepatic lobe measuring 3.9 cm × 3.6 cm × 3.9 cm.
Lindsey Ulin, MD, Chief Medical Resident, VABHS and Brigham and Women’s Hospital (BWH):
To build the initial differential diagnosis, we are joined today by 3 internal medicine residents who were not involved in the care of this patient. Dr. Hickey, Dr. Ross and Dr. Manivannan, how did you approach this case?
Meghan Hickey, MD, Senior Internal Medicine Resident, VABHS and Boston Medical Center (BMC):
The constellation of fatigue, weakness, blunted affect, and delayed, minimal speech suggested central nervous system involvement, which I sought to unify with hemolytic anemia and his liver mass. The first diagnosis I considered was Wilson disease; however, this genetic disorder of copper metabolism often presents with liver failure or cirrhosis in young or middle-aged women, so this presentation would be atypical. Next, given the hypopigmentation was reported only on sun-exposed areas of the patient’s face, I considered possibilities other than vitiligo to avoid diagnostic anchoring. One such alternate diagnosis is porphyria cutanea tarda (PCT), which presents in middle-aged and older adults with a photosensitive dermatitis that can include acute sensory deficits. Manifestations of PCT can be triggered by alcohol consumption, though his alcohol use disorder was thought to be in remission, as well as HCV, for which he previously received treatment. However, anemia is uncommon in PCT, so the patient’s low hemoglobin would not be explained by this diagnosis. Lastly, I considered thrombotic thrombocytopenic purpura (TTP) given his anemia, thrombocytopenia, and neurologic symptoms; however, the patient did not have fever or a clear inciting cause, his renal dysfunction was relatively mild, and the peripheral blood smear revealed no schistocytes, which should be present in TTP.
TABLE Laboratory Results
Caroline Ross, MD, and Alan Manivannan, MD; Senior Internal Medicine Residents, VABHS and BMC:
We noted several salient features in the history and physical examination. First, we sought to explain the bilateral lower extremity numbness and decreased vibratory sensation in the feet leading to falls. We also considered his anemia and thrombocytopenia with signs of hemolysis including elevated lactate dehydrogenase (LDH), low haptoglobin, and elevated total bilirubin; however, with normal coagulation parameters. These results initially raised our concern for a thrombotic microangiopathy (TMA) such as TTP. However, the peripheral smear lacked schistocytes, making this less likely. The combination of his neurologic symptoms and TMA-like laboratory findings but without schistocytes raised our concern for vitamin B12 deficiency. Vitamin B12 deficiency can cause a pseudo-TMA picture with laboratory finding similar to TTP; however, schistocytes are typically absent. We also considered the possibility of hepatocellular carcinoma (HCC) with bone marrow infiltration leading to anemia given the finding of a liver mass on his abdominal ultrasound and low reticulocyte index. However, this would not explain his hemolysis. We also considered chronic disseminated intravascular coagulation in the setting of a malignancy as a contributor, but again, the smear lacked schistocytes and his coagulation parameters were normal. Finally, we considered a primary bone marrow process such as myelodysplastic syndrome due to the bicytopenia with poor bone marrow response and smear with tear drop cells and elliptocytes. However, we felt this was less likely as this would not explain his hemolytic anemia.
Dr. Ulin:
To refine the differential diagnosis, we are joined by an expert clinician who was also not involved in the care of this patient to describe his approach to this case. Dr. Orlander, can you walk us through your clinical reasoning?
Jay Orlander, MD, MPH: Professor of Medicine, Section of General Internal Medicine, Boston University Chobanian & Avedisian School of Medicine, Associate Chief, Medical Service, VABHS:
I will first comment on the hepatic mass. The hypoechoic liver mass with peripheral vascularity suggests a growing tumor. The patient has a history of substance use disorder with alcohol and treated HCV. He remains at increased risk for HCC even after prior successful HCV treatment and has 2 of 4 known risk factors for developing HCC— diabetes mellitus and alcohol use—the other 2 being underlying metabolic dysfunctionassociated steatotic liver disease (MASLD) and the presence of hepatic fibrosis, which we have not yet assessed. Worsening liver function can lead to cognitive issues and alcohol to peripheral neuropathy, but his story is not consistent with this. For his liver mass, I recommend a nonurgent magnetic resonance image for further evaluation.
Next, let’s consider his markedly elevated thyrotropin (TSH). Cognitive impairment along with lethargy, fatigue, and decreased exercise tolerance can be prominent features in severe hypothyroidism, but this diagnosis would not explain his hematologic findings.1
I view the principal finding of his laboratory testing as being that his bone marrow is failing to maintain adequate blood elements. He has a markedly low hematocrit along with low platelets and low-normal white blood cell counts. There is an absence of schistocytes on the blood smear, and after correcting his reticulocyte count for his degree of anemia (observed reticulocyte percentage [0.8%] x observed hematocrit [15.3%] / expected hematocrit [40%]), results in a reticulocyte index of 0.12, which is low. This suggests his bone marrow is failing to manufacture red blood cells at an appropriate rate. His haptoglobin is unmeasurable, so there is some free heme circulating. Hence, I infer that hemolysis and ineffective erythropoiesis are both occurring within the bone marrow, which also explains the slight elevation in bilirubin.
Intramedullary hemolysis with a markedly elevated LDH can be seen in severe vitamin B12 deficiency, which has many causes, but one cause in particular warrants consideration in this case: pernicious anemia. Pernicious anemia has an overall prevalence of about 0.1%, but is more common in older adults, and is estimated to be present in 2% to 3% of adults aged > 65 years.2 Prevalence is also increased in patients with other autoimmune diseases such as vitiligo and hypothyroidism, which our patient has.3 The pathophysiology of pernicious anemia relates to either autoimmune gastric parietal cell destruction and/or the development of antibodies against intrinsic factor, which is required for absorption of vitamin B12. Early disease may present with macrocytosis and a normal hemoglobin initially, but anemia develops over time if left untreated. When the primary cause of pernicious anemia is gastric parietal cell destruction, there is also an associated lack of stomach acid production (achlorhydria) with resulting poor micronutrient absorption; specifically, vitamin D, vitamin C, and iron. Hence, 30% of patients diagnosed with pernicious anemia have concurrent iron deficiency, which may counteract macrocytosis and result in a normal mean corpuscular volume. 4 Some medications are also poorly absorbed in achlorhydric states, such as levothyroxine, and treatment doses need to be increased, which could explain his markedly elevated TSH despite presumed medication adherence.
Vitamin B12 is essential for both the peripheral and central nervous systems. Longstanding severe B12 deficiency can explain all of his neurological and neurocognitive changes. The most common neurologic findings in B12 deficiency are symmetric paresthesias or numbness and gait problems. The sensory neuropathy affects the lower extremities more commonly than the upper. Untreated, patients can develop progressive weakness, ataxia, and orthostatic hypotension with syncope, as well as neuropsychiatric changes including depression or mood impairment, cognitive slowing, forgetfulness, and dementia.
Dr. Ulin:
Dr. Orlander, which pieces of objective data are most important in forming your differential diagnosis, and what tests would you obtain next?
Dr. Orlander:
The 3 most salient laboratory tests to me are a complete blood count, with all cell lines impacted but the hemoglobin and hematocrit most dramatically impacted, reticulocyte count of 0.8%, which is inappropriately low and hence suggests a hypoproliferative anemia, and the elevated LDH > 5000 IU/L.
Since my suspected diagnosis is pernicious anemia, I would obtain a blood smear looking for hypersegmented neutrophils, > 1 white blood cells with 5 lobes, or 1 with 6 lobes, which should clinch the diagnosis. Methylmalonic acid (MMA) levels are the most sensitive test for B12 deficiency, so I would also obtain that. Finally, I would check a B12 level, since in a patient with pernicious anemia, I would expect the level to be < 200 pg/mL.
Dr. Ulin:
Before we reveal the results of the patient’s additional workup, how do you approach interpreting B12 levels?
Dr. Orlander:
Measuring B12 can sometimes be problematic: the normal range is considered 200 to 900 pg/mL, but patients with measured low-normal levels in the range of 200 to 400 pg/mL can actually be physiologically deficient. There are also several common causes of falsely low and falsely high B12 levels in the absence of B12 deficiency. Hence, for patients with mild symptoms that could be due to B12 deficiency, many clinicians choose to just treat with B12 supplementation, deeming it safer to treat than miss an early diagnosis. B12 is involved in hydrogen transfer to convert MMA into succinyl-CoA and hence true vitamin B12 deficiency causes an increase in MMA.
Decreased production of vitamin B12 binding proteins, like haptocorrin, has been proposed as the mechanism for spurious low values.5 Certain conditions or medications can also cause spurious low serum vitamin B12 levels and thus might cause the appearance of vitamin B12 deficiency when the patient is not deficient. Examples include multiple myeloma, HIV infection, pregnancy, oral contraceptives, and phenytoin use. An example of spuriously low vitamin B12 level in pregnancy was demonstrated in a series of 50 pregnant individuals with low vitamin B12 levels (45-199 pg/mL), in whom metabolite testing for MMA and homocysteine showed no correlation with vitamin B12 level.6
Further complicating things, some conditions can cause spuriously increased vitamin B12 levels and thus might cause the appearance of normal vitamin B12 levels when the patient is actually deficient.7 Examples include occult malignancy, myeloproliferative neoplasms, alcoholic liver disease, kidney disease, and nitrous oxide exposure (the latter of which is unique in that it can also cause true vitamin B12 deficiency, as evidenced by clinical symptoms and high MMA levels).8,9
Lastly, autoantibodies to intrinsic factor in individuals with pernicious anemia may compete with intrinsic factor in the chemiluminescence assay and result in spuriously normal vitamin B12 levels in the presence of true deficiency.10-12 If the vitamin B12 level is very high (eg, 800 pg/mL), we do not worry about this effect in the absence of clinical features suggesting vitamin B12 deficiency; however, if the vitamin B12 level is borderline or low-normal and/or other clinical features suggest vitamin B12 deficiency, it is prudent to obtain other testing such as an MMA level.
Dr. Ulin:
We are also joined by Dr. Rahul Ganatra, who cared for the patient at the time the diagnosis was made. Dr. Ganatra, can you share the final diagnosis and provide an update on the patient?
Rahul Ganatra, MD, MPH, Director of Continuing Medical Education, VABHS:
The patient’s hemoglobin rose to 6.9 g/dL after transfusion of 2 units of packed red blood cells, and his dyspnea on exertion and fatigue improved. Iron studies, serum thiamine, serum folate, ADAMTS13 activity levels, and AM cortisol level were normal. Upon closer examination of the peripheral blood smear, rare hypersegmented neutrophils were noted. Serum B12 level returned below assay (< 146 pg/mL), and serum MMA was 50,800 nmol/L, confirming the diagnosis of severe vitamin B12 deficiency. Antibodies against intrinsic factor were detected, confirming the diagnosis of pernicious anemia. Treatment was initiated with intramuscular cyanocobalamin every other day and was transitioned to weekly dosing at the time of hospital discharge. After excluding adrenal insufficiency, his levothyroxine dose was increased. Finally, a liver mass biopsy confirmed a concomitant diagnosis of HCC. The patient was discharged home. Five weeks after discharge, his serum B12 level rose to > 1000 pg/mL, and 10 months after discharge, his TSH fell to 0.97 uIU/mL. Several months later, he underwent stereotactic body radiotherapy for the HCC. One year after his initial presentation, he has not resumed work as a barber.
References
Leigh H, Kramer SI. The psychiatric manifestations of endocrine disease. Adv Intern Med. 1984;29:413-445
Lenti MV, Rugge M, Lahner E, et al. Autoimmune gastritis. Nat Rev Dis Primers. 2020;6(1):56.doi:10.1038/s41572-020-0187-8
Toh BH, van Driel IR, Gleeson PA. Pernicious anemia. N Engl J Med. 1997;337(20):1441-1448. doi:10.1056/NEJM199711133372007
. Hershko C, Ronson A, Souroujon M, Maschler I, Heyd J, Patz J. Variable hematologic presentation of autoimmune gastritis: age-related progression from iron deficiency to cobalamin depletion. Blood. 2006;107(4):1673-1679. doi:10.1182/blood-2005-09-3534
Morkbak AL, Hvas AM, Milman N, Nexo E. Holotranscobalamin remains unchanged during pregnancy. Longitudinal changes of cobalamins and their binding proteins during pregnancy and postpartum. Haematologica. 2007;92(12):1711-1712. doi:10.3324/haematol.11636
Metz J, McGrath K, Bennett M, Hyland K, Bottiglieri T. Biochemical indices of vitamin B12 nutrition in pregnant patients with subnormal serum vitamin B12 levels. Am J Hematol. 1995;48(4):251-255. doi:10.1002/ajh.2830480409
Marsden P, Sharma AA, Rotella JA. Review article: clinical manifestations and outcomes of chronic nitrous oxide misuse: a systematic review. Emerg Med Australas. 2022;34(4):492- 503. doi:10.1111/1742-6723.13997
Hamilton MS, Blackmore S, Lee A. Possible cause of false normal B-12 assays. BMJ. 2006;333(7569):654-655. doi:10.1136/bmj.333.7569.654-c
Yang DT, Cook RJ. Spurious elevations of vitamin B12 with pernicious anemia. N Engl J Med. 2012;366(18):1742-1743. doi:10.1056/NEJMc1201655
Carmel R, Agrawal YP. Failures of cobalamin assays in pernicious anemia. N Engl J Med. 2012;367(4):385-386. doi:10.1056/NEJMc1204070
Green R. Vitamin B12 deficiency from the perspective of a practicing hematologist. Blood. May 11 2017;129(19):2603- 2611. doi:10.1182/blood-2016-10-569186
Miceli E, Lenti MV, Padula D, et al. Common features of patients with autoimmune atrophic gastritis. Clin Gastroenterol Hepatol. 2012;10(7):812-814.doi:10.1016/j.cgh.2012.02.018
Lindsey Ulin, MDa,b; Meghan Hickey, MDb,c; Caroline Ross, MDb,c; Alan Manivannan, MDb,c; Jay Orlander, MD, MPHb,d; Rahul B. Ganatra, MD, MPHb
Author affiliationsa Brigham and Women’s Hospital, Boston, Massachusetts bVeterans Affairs Boston Healthcare System, West Roxbury, Massachusetts c Boston Medical Center, Massachusetts dBoston University Chobanian & Avedisian School of Medicine, Massachusetts
Lindsey Ulin, MDa,b; Meghan Hickey, MDb,c; Caroline Ross, MDb,c; Alan Manivannan, MDb,c; Jay Orlander, MD, MPHb,d; Rahul B. Ganatra, MD, MPHb
Author affiliationsa Brigham and Women’s Hospital, Boston, Massachusetts bVeterans Affairs Boston Healthcare System, West Roxbury, Massachusetts c Boston Medical Center, Massachusetts dBoston University Chobanian & Avedisian School of Medicine, Massachusetts
Author disclosures The authors report no actual or potential conflicts of interest with regard to this article.
Fed Pract. 2024;41(10). Published online October 15. doi:10.12788/fp.0516
Author and Disclosure Information
Lindsey Ulin, MDa,b; Meghan Hickey, MDb,c; Caroline Ross, MDb,c; Alan Manivannan, MDb,c; Jay Orlander, MD, MPHb,d; Rahul B. Ganatra, MD, MPHb
Author affiliationsa Brigham and Women’s Hospital, Boston, Massachusetts bVeterans Affairs Boston Healthcare System, West Roxbury, Massachusetts c Boston Medical Center, Massachusetts dBoston University Chobanian & Avedisian School of Medicine, Massachusetts
Case Presentation:A 65-year-old male veteran presented to the Veterans Affairs Boston Healthcare System (VABHS) emergency department with progressive fatigue, dyspnea on exertion, lightheadedness, and falls over the last month. New bilateral lower extremity numbness up to his knees developed in the week prior to admission and prompted him to seek care. Additional history included 2 episodes of transient loss of consciousness resulting in falls and a week of diarrhea, which had resolved. His medical history was notable for hypothyroidism secondary to Hashimoto thyroiditis, seizure disorder, vitiligo, treated hepatitis C virus (HCV) infection, alcohol use disorder in remission, diabetes mellitus, posttraumatic stress disorder, and traumatic brain injury. His medications included levothyroxine and carbamazepine. He previously worked as a barber but recently had stopped due to cognitive impairment. On initial evaluation, the patient's vital signs included a temperature of 36.3 °C, heart rate of 77 beats per minute, blood pressure of 139/83 mm Hg, respiratory rate of 18 breaths per minute, and 99% oxygen saturation while breathing ambient air. Physical examination was notable for a frail-appearing man in no acute distress. His conjunctivae were pale, and cardiac auscultation revealed a normal heart rate and irregularly irregular heart rhythm. A neurologic examination revealed decreased vibratory sensation in both feet, delayed and minimal speech, and a blunted affect. His skin was warm and dry with patchy hypopigmentation across the face and forehead. Laboratory results are shown in the Table. Testing 2 years previously found the patient's hemoglobin to be 11.4 g/dL and serum creatinine to be 1.7 mg/dL. A peripheral blood smear showed anisocytosis, hypochromia, decreased platelets, ovalocytes, elliptocytes, and rare teardrop cells, with no schistocytes present. Chest radiography and computed tomography of the head were unremarkable. An abdominal ultrasound revealed a complex hypoechoic mass with peripheral rim vascularity in the right hepatic lobe measuring 3.9 cm × 3.6 cm × 3.9 cm.
Lindsey Ulin, MD, Chief Medical Resident, VABHS and Brigham and Women’s Hospital (BWH):
To build the initial differential diagnosis, we are joined today by 3 internal medicine residents who were not involved in the care of this patient. Dr. Hickey, Dr. Ross and Dr. Manivannan, how did you approach this case?
Meghan Hickey, MD, Senior Internal Medicine Resident, VABHS and Boston Medical Center (BMC):
The constellation of fatigue, weakness, blunted affect, and delayed, minimal speech suggested central nervous system involvement, which I sought to unify with hemolytic anemia and his liver mass. The first diagnosis I considered was Wilson disease; however, this genetic disorder of copper metabolism often presents with liver failure or cirrhosis in young or middle-aged women, so this presentation would be atypical. Next, given the hypopigmentation was reported only on sun-exposed areas of the patient’s face, I considered possibilities other than vitiligo to avoid diagnostic anchoring. One such alternate diagnosis is porphyria cutanea tarda (PCT), which presents in middle-aged and older adults with a photosensitive dermatitis that can include acute sensory deficits. Manifestations of PCT can be triggered by alcohol consumption, though his alcohol use disorder was thought to be in remission, as well as HCV, for which he previously received treatment. However, anemia is uncommon in PCT, so the patient’s low hemoglobin would not be explained by this diagnosis. Lastly, I considered thrombotic thrombocytopenic purpura (TTP) given his anemia, thrombocytopenia, and neurologic symptoms; however, the patient did not have fever or a clear inciting cause, his renal dysfunction was relatively mild, and the peripheral blood smear revealed no schistocytes, which should be present in TTP.
TABLE Laboratory Results
Caroline Ross, MD, and Alan Manivannan, MD; Senior Internal Medicine Residents, VABHS and BMC:
We noted several salient features in the history and physical examination. First, we sought to explain the bilateral lower extremity numbness and decreased vibratory sensation in the feet leading to falls. We also considered his anemia and thrombocytopenia with signs of hemolysis including elevated lactate dehydrogenase (LDH), low haptoglobin, and elevated total bilirubin; however, with normal coagulation parameters. These results initially raised our concern for a thrombotic microangiopathy (TMA) such as TTP. However, the peripheral smear lacked schistocytes, making this less likely. The combination of his neurologic symptoms and TMA-like laboratory findings but without schistocytes raised our concern for vitamin B12 deficiency. Vitamin B12 deficiency can cause a pseudo-TMA picture with laboratory finding similar to TTP; however, schistocytes are typically absent. We also considered the possibility of hepatocellular carcinoma (HCC) with bone marrow infiltration leading to anemia given the finding of a liver mass on his abdominal ultrasound and low reticulocyte index. However, this would not explain his hemolysis. We also considered chronic disseminated intravascular coagulation in the setting of a malignancy as a contributor, but again, the smear lacked schistocytes and his coagulation parameters were normal. Finally, we considered a primary bone marrow process such as myelodysplastic syndrome due to the bicytopenia with poor bone marrow response and smear with tear drop cells and elliptocytes. However, we felt this was less likely as this would not explain his hemolytic anemia.
Dr. Ulin:
To refine the differential diagnosis, we are joined by an expert clinician who was also not involved in the care of this patient to describe his approach to this case. Dr. Orlander, can you walk us through your clinical reasoning?
Jay Orlander, MD, MPH: Professor of Medicine, Section of General Internal Medicine, Boston University Chobanian & Avedisian School of Medicine, Associate Chief, Medical Service, VABHS:
I will first comment on the hepatic mass. The hypoechoic liver mass with peripheral vascularity suggests a growing tumor. The patient has a history of substance use disorder with alcohol and treated HCV. He remains at increased risk for HCC even after prior successful HCV treatment and has 2 of 4 known risk factors for developing HCC— diabetes mellitus and alcohol use—the other 2 being underlying metabolic dysfunctionassociated steatotic liver disease (MASLD) and the presence of hepatic fibrosis, which we have not yet assessed. Worsening liver function can lead to cognitive issues and alcohol to peripheral neuropathy, but his story is not consistent with this. For his liver mass, I recommend a nonurgent magnetic resonance image for further evaluation.
Next, let’s consider his markedly elevated thyrotropin (TSH). Cognitive impairment along with lethargy, fatigue, and decreased exercise tolerance can be prominent features in severe hypothyroidism, but this diagnosis would not explain his hematologic findings.1
I view the principal finding of his laboratory testing as being that his bone marrow is failing to maintain adequate blood elements. He has a markedly low hematocrit along with low platelets and low-normal white blood cell counts. There is an absence of schistocytes on the blood smear, and after correcting his reticulocyte count for his degree of anemia (observed reticulocyte percentage [0.8%] x observed hematocrit [15.3%] / expected hematocrit [40%]), results in a reticulocyte index of 0.12, which is low. This suggests his bone marrow is failing to manufacture red blood cells at an appropriate rate. His haptoglobin is unmeasurable, so there is some free heme circulating. Hence, I infer that hemolysis and ineffective erythropoiesis are both occurring within the bone marrow, which also explains the slight elevation in bilirubin.
Intramedullary hemolysis with a markedly elevated LDH can be seen in severe vitamin B12 deficiency, which has many causes, but one cause in particular warrants consideration in this case: pernicious anemia. Pernicious anemia has an overall prevalence of about 0.1%, but is more common in older adults, and is estimated to be present in 2% to 3% of adults aged > 65 years.2 Prevalence is also increased in patients with other autoimmune diseases such as vitiligo and hypothyroidism, which our patient has.3 The pathophysiology of pernicious anemia relates to either autoimmune gastric parietal cell destruction and/or the development of antibodies against intrinsic factor, which is required for absorption of vitamin B12. Early disease may present with macrocytosis and a normal hemoglobin initially, but anemia develops over time if left untreated. When the primary cause of pernicious anemia is gastric parietal cell destruction, there is also an associated lack of stomach acid production (achlorhydria) with resulting poor micronutrient absorption; specifically, vitamin D, vitamin C, and iron. Hence, 30% of patients diagnosed with pernicious anemia have concurrent iron deficiency, which may counteract macrocytosis and result in a normal mean corpuscular volume. 4 Some medications are also poorly absorbed in achlorhydric states, such as levothyroxine, and treatment doses need to be increased, which could explain his markedly elevated TSH despite presumed medication adherence.
Vitamin B12 is essential for both the peripheral and central nervous systems. Longstanding severe B12 deficiency can explain all of his neurological and neurocognitive changes. The most common neurologic findings in B12 deficiency are symmetric paresthesias or numbness and gait problems. The sensory neuropathy affects the lower extremities more commonly than the upper. Untreated, patients can develop progressive weakness, ataxia, and orthostatic hypotension with syncope, as well as neuropsychiatric changes including depression or mood impairment, cognitive slowing, forgetfulness, and dementia.
Dr. Ulin:
Dr. Orlander, which pieces of objective data are most important in forming your differential diagnosis, and what tests would you obtain next?
Dr. Orlander:
The 3 most salient laboratory tests to me are a complete blood count, with all cell lines impacted but the hemoglobin and hematocrit most dramatically impacted, reticulocyte count of 0.8%, which is inappropriately low and hence suggests a hypoproliferative anemia, and the elevated LDH > 5000 IU/L.
Since my suspected diagnosis is pernicious anemia, I would obtain a blood smear looking for hypersegmented neutrophils, > 1 white blood cells with 5 lobes, or 1 with 6 lobes, which should clinch the diagnosis. Methylmalonic acid (MMA) levels are the most sensitive test for B12 deficiency, so I would also obtain that. Finally, I would check a B12 level, since in a patient with pernicious anemia, I would expect the level to be < 200 pg/mL.
Dr. Ulin:
Before we reveal the results of the patient’s additional workup, how do you approach interpreting B12 levels?
Dr. Orlander:
Measuring B12 can sometimes be problematic: the normal range is considered 200 to 900 pg/mL, but patients with measured low-normal levels in the range of 200 to 400 pg/mL can actually be physiologically deficient. There are also several common causes of falsely low and falsely high B12 levels in the absence of B12 deficiency. Hence, for patients with mild symptoms that could be due to B12 deficiency, many clinicians choose to just treat with B12 supplementation, deeming it safer to treat than miss an early diagnosis. B12 is involved in hydrogen transfer to convert MMA into succinyl-CoA and hence true vitamin B12 deficiency causes an increase in MMA.
Decreased production of vitamin B12 binding proteins, like haptocorrin, has been proposed as the mechanism for spurious low values.5 Certain conditions or medications can also cause spurious low serum vitamin B12 levels and thus might cause the appearance of vitamin B12 deficiency when the patient is not deficient. Examples include multiple myeloma, HIV infection, pregnancy, oral contraceptives, and phenytoin use. An example of spuriously low vitamin B12 level in pregnancy was demonstrated in a series of 50 pregnant individuals with low vitamin B12 levels (45-199 pg/mL), in whom metabolite testing for MMA and homocysteine showed no correlation with vitamin B12 level.6
Further complicating things, some conditions can cause spuriously increased vitamin B12 levels and thus might cause the appearance of normal vitamin B12 levels when the patient is actually deficient.7 Examples include occult malignancy, myeloproliferative neoplasms, alcoholic liver disease, kidney disease, and nitrous oxide exposure (the latter of which is unique in that it can also cause true vitamin B12 deficiency, as evidenced by clinical symptoms and high MMA levels).8,9
Lastly, autoantibodies to intrinsic factor in individuals with pernicious anemia may compete with intrinsic factor in the chemiluminescence assay and result in spuriously normal vitamin B12 levels in the presence of true deficiency.10-12 If the vitamin B12 level is very high (eg, 800 pg/mL), we do not worry about this effect in the absence of clinical features suggesting vitamin B12 deficiency; however, if the vitamin B12 level is borderline or low-normal and/or other clinical features suggest vitamin B12 deficiency, it is prudent to obtain other testing such as an MMA level.
Dr. Ulin:
We are also joined by Dr. Rahul Ganatra, who cared for the patient at the time the diagnosis was made. Dr. Ganatra, can you share the final diagnosis and provide an update on the patient?
Rahul Ganatra, MD, MPH, Director of Continuing Medical Education, VABHS:
The patient’s hemoglobin rose to 6.9 g/dL after transfusion of 2 units of packed red blood cells, and his dyspnea on exertion and fatigue improved. Iron studies, serum thiamine, serum folate, ADAMTS13 activity levels, and AM cortisol level were normal. Upon closer examination of the peripheral blood smear, rare hypersegmented neutrophils were noted. Serum B12 level returned below assay (< 146 pg/mL), and serum MMA was 50,800 nmol/L, confirming the diagnosis of severe vitamin B12 deficiency. Antibodies against intrinsic factor were detected, confirming the diagnosis of pernicious anemia. Treatment was initiated with intramuscular cyanocobalamin every other day and was transitioned to weekly dosing at the time of hospital discharge. After excluding adrenal insufficiency, his levothyroxine dose was increased. Finally, a liver mass biopsy confirmed a concomitant diagnosis of HCC. The patient was discharged home. Five weeks after discharge, his serum B12 level rose to > 1000 pg/mL, and 10 months after discharge, his TSH fell to 0.97 uIU/mL. Several months later, he underwent stereotactic body radiotherapy for the HCC. One year after his initial presentation, he has not resumed work as a barber.
Case Presentation:A 65-year-old male veteran presented to the Veterans Affairs Boston Healthcare System (VABHS) emergency department with progressive fatigue, dyspnea on exertion, lightheadedness, and falls over the last month. New bilateral lower extremity numbness up to his knees developed in the week prior to admission and prompted him to seek care. Additional history included 2 episodes of transient loss of consciousness resulting in falls and a week of diarrhea, which had resolved. His medical history was notable for hypothyroidism secondary to Hashimoto thyroiditis, seizure disorder, vitiligo, treated hepatitis C virus (HCV) infection, alcohol use disorder in remission, diabetes mellitus, posttraumatic stress disorder, and traumatic brain injury. His medications included levothyroxine and carbamazepine. He previously worked as a barber but recently had stopped due to cognitive impairment. On initial evaluation, the patient's vital signs included a temperature of 36.3 °C, heart rate of 77 beats per minute, blood pressure of 139/83 mm Hg, respiratory rate of 18 breaths per minute, and 99% oxygen saturation while breathing ambient air. Physical examination was notable for a frail-appearing man in no acute distress. His conjunctivae were pale, and cardiac auscultation revealed a normal heart rate and irregularly irregular heart rhythm. A neurologic examination revealed decreased vibratory sensation in both feet, delayed and minimal speech, and a blunted affect. His skin was warm and dry with patchy hypopigmentation across the face and forehead. Laboratory results are shown in the Table. Testing 2 years previously found the patient's hemoglobin to be 11.4 g/dL and serum creatinine to be 1.7 mg/dL. A peripheral blood smear showed anisocytosis, hypochromia, decreased platelets, ovalocytes, elliptocytes, and rare teardrop cells, with no schistocytes present. Chest radiography and computed tomography of the head were unremarkable. An abdominal ultrasound revealed a complex hypoechoic mass with peripheral rim vascularity in the right hepatic lobe measuring 3.9 cm × 3.6 cm × 3.9 cm.
Lindsey Ulin, MD, Chief Medical Resident, VABHS and Brigham and Women’s Hospital (BWH):
To build the initial differential diagnosis, we are joined today by 3 internal medicine residents who were not involved in the care of this patient. Dr. Hickey, Dr. Ross and Dr. Manivannan, how did you approach this case?
Meghan Hickey, MD, Senior Internal Medicine Resident, VABHS and Boston Medical Center (BMC):
The constellation of fatigue, weakness, blunted affect, and delayed, minimal speech suggested central nervous system involvement, which I sought to unify with hemolytic anemia and his liver mass. The first diagnosis I considered was Wilson disease; however, this genetic disorder of copper metabolism often presents with liver failure or cirrhosis in young or middle-aged women, so this presentation would be atypical. Next, given the hypopigmentation was reported only on sun-exposed areas of the patient’s face, I considered possibilities other than vitiligo to avoid diagnostic anchoring. One such alternate diagnosis is porphyria cutanea tarda (PCT), which presents in middle-aged and older adults with a photosensitive dermatitis that can include acute sensory deficits. Manifestations of PCT can be triggered by alcohol consumption, though his alcohol use disorder was thought to be in remission, as well as HCV, for which he previously received treatment. However, anemia is uncommon in PCT, so the patient’s low hemoglobin would not be explained by this diagnosis. Lastly, I considered thrombotic thrombocytopenic purpura (TTP) given his anemia, thrombocytopenia, and neurologic symptoms; however, the patient did not have fever or a clear inciting cause, his renal dysfunction was relatively mild, and the peripheral blood smear revealed no schistocytes, which should be present in TTP.
TABLE Laboratory Results
Caroline Ross, MD, and Alan Manivannan, MD; Senior Internal Medicine Residents, VABHS and BMC:
We noted several salient features in the history and physical examination. First, we sought to explain the bilateral lower extremity numbness and decreased vibratory sensation in the feet leading to falls. We also considered his anemia and thrombocytopenia with signs of hemolysis including elevated lactate dehydrogenase (LDH), low haptoglobin, and elevated total bilirubin; however, with normal coagulation parameters. These results initially raised our concern for a thrombotic microangiopathy (TMA) such as TTP. However, the peripheral smear lacked schistocytes, making this less likely. The combination of his neurologic symptoms and TMA-like laboratory findings but without schistocytes raised our concern for vitamin B12 deficiency. Vitamin B12 deficiency can cause a pseudo-TMA picture with laboratory finding similar to TTP; however, schistocytes are typically absent. We also considered the possibility of hepatocellular carcinoma (HCC) with bone marrow infiltration leading to anemia given the finding of a liver mass on his abdominal ultrasound and low reticulocyte index. However, this would not explain his hemolysis. We also considered chronic disseminated intravascular coagulation in the setting of a malignancy as a contributor, but again, the smear lacked schistocytes and his coagulation parameters were normal. Finally, we considered a primary bone marrow process such as myelodysplastic syndrome due to the bicytopenia with poor bone marrow response and smear with tear drop cells and elliptocytes. However, we felt this was less likely as this would not explain his hemolytic anemia.
Dr. Ulin:
To refine the differential diagnosis, we are joined by an expert clinician who was also not involved in the care of this patient to describe his approach to this case. Dr. Orlander, can you walk us through your clinical reasoning?
Jay Orlander, MD, MPH: Professor of Medicine, Section of General Internal Medicine, Boston University Chobanian & Avedisian School of Medicine, Associate Chief, Medical Service, VABHS:
I will first comment on the hepatic mass. The hypoechoic liver mass with peripheral vascularity suggests a growing tumor. The patient has a history of substance use disorder with alcohol and treated HCV. He remains at increased risk for HCC even after prior successful HCV treatment and has 2 of 4 known risk factors for developing HCC— diabetes mellitus and alcohol use—the other 2 being underlying metabolic dysfunctionassociated steatotic liver disease (MASLD) and the presence of hepatic fibrosis, which we have not yet assessed. Worsening liver function can lead to cognitive issues and alcohol to peripheral neuropathy, but his story is not consistent with this. For his liver mass, I recommend a nonurgent magnetic resonance image for further evaluation.
Next, let’s consider his markedly elevated thyrotropin (TSH). Cognitive impairment along with lethargy, fatigue, and decreased exercise tolerance can be prominent features in severe hypothyroidism, but this diagnosis would not explain his hematologic findings.1
I view the principal finding of his laboratory testing as being that his bone marrow is failing to maintain adequate blood elements. He has a markedly low hematocrit along with low platelets and low-normal white blood cell counts. There is an absence of schistocytes on the blood smear, and after correcting his reticulocyte count for his degree of anemia (observed reticulocyte percentage [0.8%] x observed hematocrit [15.3%] / expected hematocrit [40%]), results in a reticulocyte index of 0.12, which is low. This suggests his bone marrow is failing to manufacture red blood cells at an appropriate rate. His haptoglobin is unmeasurable, so there is some free heme circulating. Hence, I infer that hemolysis and ineffective erythropoiesis are both occurring within the bone marrow, which also explains the slight elevation in bilirubin.
Intramedullary hemolysis with a markedly elevated LDH can be seen in severe vitamin B12 deficiency, which has many causes, but one cause in particular warrants consideration in this case: pernicious anemia. Pernicious anemia has an overall prevalence of about 0.1%, but is more common in older adults, and is estimated to be present in 2% to 3% of adults aged > 65 years.2 Prevalence is also increased in patients with other autoimmune diseases such as vitiligo and hypothyroidism, which our patient has.3 The pathophysiology of pernicious anemia relates to either autoimmune gastric parietal cell destruction and/or the development of antibodies against intrinsic factor, which is required for absorption of vitamin B12. Early disease may present with macrocytosis and a normal hemoglobin initially, but anemia develops over time if left untreated. When the primary cause of pernicious anemia is gastric parietal cell destruction, there is also an associated lack of stomach acid production (achlorhydria) with resulting poor micronutrient absorption; specifically, vitamin D, vitamin C, and iron. Hence, 30% of patients diagnosed with pernicious anemia have concurrent iron deficiency, which may counteract macrocytosis and result in a normal mean corpuscular volume. 4 Some medications are also poorly absorbed in achlorhydric states, such as levothyroxine, and treatment doses need to be increased, which could explain his markedly elevated TSH despite presumed medication adherence.
Vitamin B12 is essential for both the peripheral and central nervous systems. Longstanding severe B12 deficiency can explain all of his neurological and neurocognitive changes. The most common neurologic findings in B12 deficiency are symmetric paresthesias or numbness and gait problems. The sensory neuropathy affects the lower extremities more commonly than the upper. Untreated, patients can develop progressive weakness, ataxia, and orthostatic hypotension with syncope, as well as neuropsychiatric changes including depression or mood impairment, cognitive slowing, forgetfulness, and dementia.
Dr. Ulin:
Dr. Orlander, which pieces of objective data are most important in forming your differential diagnosis, and what tests would you obtain next?
Dr. Orlander:
The 3 most salient laboratory tests to me are a complete blood count, with all cell lines impacted but the hemoglobin and hematocrit most dramatically impacted, reticulocyte count of 0.8%, which is inappropriately low and hence suggests a hypoproliferative anemia, and the elevated LDH > 5000 IU/L.
Since my suspected diagnosis is pernicious anemia, I would obtain a blood smear looking for hypersegmented neutrophils, > 1 white blood cells with 5 lobes, or 1 with 6 lobes, which should clinch the diagnosis. Methylmalonic acid (MMA) levels are the most sensitive test for B12 deficiency, so I would also obtain that. Finally, I would check a B12 level, since in a patient with pernicious anemia, I would expect the level to be < 200 pg/mL.
Dr. Ulin:
Before we reveal the results of the patient’s additional workup, how do you approach interpreting B12 levels?
Dr. Orlander:
Measuring B12 can sometimes be problematic: the normal range is considered 200 to 900 pg/mL, but patients with measured low-normal levels in the range of 200 to 400 pg/mL can actually be physiologically deficient. There are also several common causes of falsely low and falsely high B12 levels in the absence of B12 deficiency. Hence, for patients with mild symptoms that could be due to B12 deficiency, many clinicians choose to just treat with B12 supplementation, deeming it safer to treat than miss an early diagnosis. B12 is involved in hydrogen transfer to convert MMA into succinyl-CoA and hence true vitamin B12 deficiency causes an increase in MMA.
Decreased production of vitamin B12 binding proteins, like haptocorrin, has been proposed as the mechanism for spurious low values.5 Certain conditions or medications can also cause spurious low serum vitamin B12 levels and thus might cause the appearance of vitamin B12 deficiency when the patient is not deficient. Examples include multiple myeloma, HIV infection, pregnancy, oral contraceptives, and phenytoin use. An example of spuriously low vitamin B12 level in pregnancy was demonstrated in a series of 50 pregnant individuals with low vitamin B12 levels (45-199 pg/mL), in whom metabolite testing for MMA and homocysteine showed no correlation with vitamin B12 level.6
Further complicating things, some conditions can cause spuriously increased vitamin B12 levels and thus might cause the appearance of normal vitamin B12 levels when the patient is actually deficient.7 Examples include occult malignancy, myeloproliferative neoplasms, alcoholic liver disease, kidney disease, and nitrous oxide exposure (the latter of which is unique in that it can also cause true vitamin B12 deficiency, as evidenced by clinical symptoms and high MMA levels).8,9
Lastly, autoantibodies to intrinsic factor in individuals with pernicious anemia may compete with intrinsic factor in the chemiluminescence assay and result in spuriously normal vitamin B12 levels in the presence of true deficiency.10-12 If the vitamin B12 level is very high (eg, 800 pg/mL), we do not worry about this effect in the absence of clinical features suggesting vitamin B12 deficiency; however, if the vitamin B12 level is borderline or low-normal and/or other clinical features suggest vitamin B12 deficiency, it is prudent to obtain other testing such as an MMA level.
Dr. Ulin:
We are also joined by Dr. Rahul Ganatra, who cared for the patient at the time the diagnosis was made. Dr. Ganatra, can you share the final diagnosis and provide an update on the patient?
Rahul Ganatra, MD, MPH, Director of Continuing Medical Education, VABHS:
The patient’s hemoglobin rose to 6.9 g/dL after transfusion of 2 units of packed red blood cells, and his dyspnea on exertion and fatigue improved. Iron studies, serum thiamine, serum folate, ADAMTS13 activity levels, and AM cortisol level were normal. Upon closer examination of the peripheral blood smear, rare hypersegmented neutrophils were noted. Serum B12 level returned below assay (< 146 pg/mL), and serum MMA was 50,800 nmol/L, confirming the diagnosis of severe vitamin B12 deficiency. Antibodies against intrinsic factor were detected, confirming the diagnosis of pernicious anemia. Treatment was initiated with intramuscular cyanocobalamin every other day and was transitioned to weekly dosing at the time of hospital discharge. After excluding adrenal insufficiency, his levothyroxine dose was increased. Finally, a liver mass biopsy confirmed a concomitant diagnosis of HCC. The patient was discharged home. Five weeks after discharge, his serum B12 level rose to > 1000 pg/mL, and 10 months after discharge, his TSH fell to 0.97 uIU/mL. Several months later, he underwent stereotactic body radiotherapy for the HCC. One year after his initial presentation, he has not resumed work as a barber.
References
Leigh H, Kramer SI. The psychiatric manifestations of endocrine disease. Adv Intern Med. 1984;29:413-445
Lenti MV, Rugge M, Lahner E, et al. Autoimmune gastritis. Nat Rev Dis Primers. 2020;6(1):56.doi:10.1038/s41572-020-0187-8
Toh BH, van Driel IR, Gleeson PA. Pernicious anemia. N Engl J Med. 1997;337(20):1441-1448. doi:10.1056/NEJM199711133372007
. Hershko C, Ronson A, Souroujon M, Maschler I, Heyd J, Patz J. Variable hematologic presentation of autoimmune gastritis: age-related progression from iron deficiency to cobalamin depletion. Blood. 2006;107(4):1673-1679. doi:10.1182/blood-2005-09-3534
Morkbak AL, Hvas AM, Milman N, Nexo E. Holotranscobalamin remains unchanged during pregnancy. Longitudinal changes of cobalamins and their binding proteins during pregnancy and postpartum. Haematologica. 2007;92(12):1711-1712. doi:10.3324/haematol.11636
Metz J, McGrath K, Bennett M, Hyland K, Bottiglieri T. Biochemical indices of vitamin B12 nutrition in pregnant patients with subnormal serum vitamin B12 levels. Am J Hematol. 1995;48(4):251-255. doi:10.1002/ajh.2830480409
Marsden P, Sharma AA, Rotella JA. Review article: clinical manifestations and outcomes of chronic nitrous oxide misuse: a systematic review. Emerg Med Australas. 2022;34(4):492- 503. doi:10.1111/1742-6723.13997
Hamilton MS, Blackmore S, Lee A. Possible cause of false normal B-12 assays. BMJ. 2006;333(7569):654-655. doi:10.1136/bmj.333.7569.654-c
Yang DT, Cook RJ. Spurious elevations of vitamin B12 with pernicious anemia. N Engl J Med. 2012;366(18):1742-1743. doi:10.1056/NEJMc1201655
Carmel R, Agrawal YP. Failures of cobalamin assays in pernicious anemia. N Engl J Med. 2012;367(4):385-386. doi:10.1056/NEJMc1204070
Green R. Vitamin B12 deficiency from the perspective of a practicing hematologist. Blood. May 11 2017;129(19):2603- 2611. doi:10.1182/blood-2016-10-569186
Miceli E, Lenti MV, Padula D, et al. Common features of patients with autoimmune atrophic gastritis. Clin Gastroenterol Hepatol. 2012;10(7):812-814.doi:10.1016/j.cgh.2012.02.018
References
Leigh H, Kramer SI. The psychiatric manifestations of endocrine disease. Adv Intern Med. 1984;29:413-445
Lenti MV, Rugge M, Lahner E, et al. Autoimmune gastritis. Nat Rev Dis Primers. 2020;6(1):56.doi:10.1038/s41572-020-0187-8
Toh BH, van Driel IR, Gleeson PA. Pernicious anemia. N Engl J Med. 1997;337(20):1441-1448. doi:10.1056/NEJM199711133372007
. Hershko C, Ronson A, Souroujon M, Maschler I, Heyd J, Patz J. Variable hematologic presentation of autoimmune gastritis: age-related progression from iron deficiency to cobalamin depletion. Blood. 2006;107(4):1673-1679. doi:10.1182/blood-2005-09-3534
Morkbak AL, Hvas AM, Milman N, Nexo E. Holotranscobalamin remains unchanged during pregnancy. Longitudinal changes of cobalamins and their binding proteins during pregnancy and postpartum. Haematologica. 2007;92(12):1711-1712. doi:10.3324/haematol.11636
Metz J, McGrath K, Bennett M, Hyland K, Bottiglieri T. Biochemical indices of vitamin B12 nutrition in pregnant patients with subnormal serum vitamin B12 levels. Am J Hematol. 1995;48(4):251-255. doi:10.1002/ajh.2830480409
Marsden P, Sharma AA, Rotella JA. Review article: clinical manifestations and outcomes of chronic nitrous oxide misuse: a systematic review. Emerg Med Australas. 2022;34(4):492- 503. doi:10.1111/1742-6723.13997
Hamilton MS, Blackmore S, Lee A. Possible cause of false normal B-12 assays. BMJ. 2006;333(7569):654-655. doi:10.1136/bmj.333.7569.654-c
Yang DT, Cook RJ. Spurious elevations of vitamin B12 with pernicious anemia. N Engl J Med. 2012;366(18):1742-1743. doi:10.1056/NEJMc1201655
Carmel R, Agrawal YP. Failures of cobalamin assays in pernicious anemia. N Engl J Med. 2012;367(4):385-386. doi:10.1056/NEJMc1204070
Green R. Vitamin B12 deficiency from the perspective of a practicing hematologist. Blood. May 11 2017;129(19):2603- 2611. doi:10.1182/blood-2016-10-569186
Miceli E, Lenti MV, Padula D, et al. Common features of patients with autoimmune atrophic gastritis. Clin Gastroenterol Hepatol. 2012;10(7):812-814.doi:10.1016/j.cgh.2012.02.018
Health care organizations began implementing Lean management and high reliability organization (HRO) principles in the 1990s to improve quality and efficiency by aligning leaders and staff to a shared vision, fostering a culture of continuous improvement, identifying the root causes of complex problems, and engaging frontline staff as drivers of improvement efforts.1 There are 4 components for establishing a Lean management system: (1) leader standard work; (2) visual management; (3) daily accountability; and (4) discipline to institute the first 3 components.2 Leader standard work promotes continuous improvement by setting a standard routine of behaviors, actions, and tools consistently performed by leadership. These include routine and frequent frontline check-ins (ie, Gemba walks) as well as standardization of employee onboarding, training, and evaluations. Visual management refers to the process of making problems and abnormal conditions readily apparent to staff and leadership.3
The US Department of Veterans Affairs (VA) is committed to implementing similar principles of HROs, which focus on error analysis and process improvement to foster a culture of safety, leadership commitment, and staff engagement.4,5 Visual management is an important tool for HROs; it reflects the mindset of promoting transparency, teamwork, and openness.6,7
Visual management boards (VMBs), such as huddle boards, Gemba boards, or visibility walls, are critical tools that can promote daily accountability and the core principles of Lean thinking and HROs.1,6,8,9 Accountability is enhanced through frequent real-time, data-driven feedback between staff and leadership. This is often facilitated with a huddle, a structured and disciplined team meeting that provides bidirectional information.1 Frequently, a VMB is incorporated into the structure and flow of the huddle.
In a literature review of 20 years of implementation of Lean management systems in health care, Winner and colleagues report that while the frequency and duration of huddles vary, they are often united by several characteristics, including the involvement of the unit team, focus on feedback, problem identification and solutions, and central location around a visual board.1 VMBs most often take the form of a magnetic, dry-erase board located in a hall or conference room central to the work area.1 In addition to identifying and tracking problems in the place of work, VMBs can also provide a representation of key performance indicators and metrics, disseminate essential unit information, and acknowledge the work and successes of staff and leaders.6,8-12
This article outlines the commitment of the Lieutenant Colonel Charles S. Kettles VA Medical Center (VAMC) within the VA Ann Arbor Healthcare System (VAAAHS) to the HRO principle of visual management. We describe the incorporation of VMBs throughout VAAAHS and provide a detailed report of the development and use at a large outpatient subspecialty clinic.
Implementation
The goal of implementing visual management tools at VAAAHS was to empower staff members to identify problems and process improvements, enhance teamwork, and improve communication between staff and section leadership. The Systems Redesign and Improvement Program (SR), which supports Veteran Health Administration high reliability initiatives, helped implement VMBs in VAAAHS departments. Each board was designed to meet the specialized needs of each respective team and could be a physical board, virtual board, or combination. However, all boards sought to create standardized work and identify department needs.
The VAAAHS outpatient cardiology section VMB complemented an existing daily huddle framework. The cardiology section is large and diverse, with 6 subspecialty clinics, and team members who work in multiple locations. The clinic team includes 19 faculty physicians, 14 cardiology fellow physicians,9 nurse care managers, 13 nurse practitioners, 2 licensed practical nurses, and 5 medical support assistants at both the Lieutenant Colonel Charles S. Kettles VAMC and Toledo, Ohio, community based outpatient clinic. Prior to VMB implementation, a morning huddle with clinic team members led by a cardiology manager was an unstructured group discussion about clinic operations for the day. While the daily huddle had a positive impact on staff orientation to daily goals, it did not fully meet the aims of staff empowerment, problem identification and tracking, and knowledge distribution. The VMB was codeveloped with cardiology and the SR program with these goals in mind.
Cardiology was the first VAAAHS outpatient subspecialty clinic to institute a VMB. Two boards were created: a large standard VMB (Figure 1) and a smaller kudos board (Figure 2), which were placed in a central hallway in which staff members and patients pass frequently throughout the day. This location was chosen to promote engagement and promote the VAAAHS commitment to continuous improvement. The VMB focused on identifying and tracking problems, information sharing, and metric monitoring. The goal of the smaller kudos board was to highlight staff achievements and provide an opportunity for patient feedback.
The SR program required that the board incorporate problem identification and a uniform VAAAHS ticket tracking system. Each department could customize the VMB to fit its needs. Staff members are asked to define a problem, complete a ticket describing the issue, consider possible root causes, and suggest solutions. This approach empowers staff to take ownership, make a problem visible, and identify a solution. The problem is then discussed in group huddles using an Impact and Effort Matrix, a tool focused on categorizing and prioritizing those interventions that require low effort and lead to high impact.13
Tickets move along the board as they are addressed using a Plan-Do-Study-Act problem-solving model.14 Plan involves identifying and assigning leadership for the problem and understanding its root causes. Do involves implementing an action plan. Study involves evaluating the results. Finally, Act involves determining whether the plan was successful, and if so, standardizing the improvement and using it regularly.14 Complicated projects that require higher effort or additional resources are moved to the roll-up and parking lot, so they may be addressed by leadership at an appropriate time. Roll up is the escalation of process improvement tickets that frontline staff are unable to resolve with their current resources. The parking lot is for tickets that staff want to address later based on priority determined using an impact vs effort matrix. This allows for enhanced bidirectional communication between the department and high-level leadership, showing a commitment to HRO principles at all levels. The cardiology department customized its board to include essential clinic information, such as faculty staffing for the clinic that day and clinic metric information (eg, patient satisfaction scores, and appointment wait times). The kudos board, a space for patient feedback and to celebrate staff accomplishments, was located across the hall closest to the waiting area.
After the VMB was implemented as a new component to the daily team huddle, the group discussion physically moved to just in front of the board; pertinent clinic information is discussed daily, and the ticketing system is discussed 1 to 3 times per week, depending on ticket progress. Open and unresolved tickets are reviewed for updates on the status by the responsible team member, who receives ongoing feedback and assistance.
Program Impact
A total of 55 improvement opportunity tickets were submitted by staff members during the initial 23 months after the implementation of the outpatient cardiology clinic VMB. Most were submitted by nurse practitioners, although there were contributions from all faculty and staff. The high percentage of ticket submissions by nurse practitioners may be related to their full-time daily presence in the clinic, whereas some other staff members are part-time (most physicians are present 1 day each week). Improvement opportunities were noted within a variety of areas, including clinic facilities (eg, clinic equipment), communication between the clinic and patients (eg, telephone calls from patients or appointment letters), and patient care (eg, medication reconciliation and laboratory requisition).
In an improvement opportunity ticket, a staff member identified that the low seating in the patient waiting area was a fall risk and not diversified for varying body types. They posted a ticket, and the issue was discussed as a group. This staff member assumed ownership of the problem and placed an interior design request for taller chairs and bariatric options. The ticket was resolved when the waiting area was upgraded to include safer and more inclusive seating options for patients. Of 55 tickets submitted by staffas of June 2024, 45 have identified solutions, 4 are in process, and 6 have been placed in the parking lot. On average, the morning huddle spends about 5 to 10 minutes addressing tickets, but on occasion, more complex topics require additional time. The kudos board receives feedback from patients who express their gratitude, and serves as a space to celebrate awards received by staff members.
Implementing a VMB into daily huddles within the cardiology clinic led to increased staff engagement and ownership of challenges, as well as improved communication between frontline workers and leadership. VMBs have proven to be useful for annual staff performance evaluations because staff members who engaged in the board and volunteered to take accountability for ticket resolution could use those accomplishments in their assessments. Finally, VMBs made quality improvement and safety work accessible by normalizing frequent conversations. This empowered staff to engage in improvement projects and even led some members to enroll in formal Lean training.
The outpatient cardiology clinic VMB at the VAAAHS was identified as a best practice during a site visit by the Promising Practice Team in the Veterans Health Administration Office of Integrated Veteran Care. The outpatient cardiology clinic leadership team, including the authors of this article, was invited to present our visual management work as a main topic at the January 2024 Office of Integrated Veteran Care collaborative meeting.
Further Implementation
The SR program has collaborated with additional VAAAHS teams to implement VMBs. Forty-four physical VMBs and 20 virtual VMBs are currently in use throughout the VAAAHS. Virtual VMB content is similar to a physical board and can be modified by each team to meet its particular needs. Several virtual VMBs have been implemented at the VAAAHS and can achieve the same goals of staff teamwork, empowerment, and engagement. Each team can choose the format of the VMB that best fits their needs, which may be partially influenced by the team’s overall interaction style (on-site teams may function better with a physical VMB, and off-site teams may find a virtual VMB works best). VMBs have been implemented in various work areas, including laboratories, inpatient wards, subspecialty outpatient clinics, procedural areas, and the engineering department. In fiscal year 2024, 180 tickets were electronically submitted by teams across the VAAAHS, of which 170 identified solutions and were marked completed. Ticket counts may be underestimated since not all physical board tickets are reported in the electronic system. The SR program periodically attends morning huddles of various teams and obtains feedback on their VMBs, a practice that highlights its contribution to staff engagement, transparency, teamwork, and continuous improvement (Table). A goal of the SR program is to identify areas of the VAAAHS in which VMBs would add value to the team and implement them as necessary.
Discussion
VMBs are common in health care and are implemented to promote the core principlesof Lean thinking and HROs, including visual management and daily accountability. The goals of a visual management tool are to make problems visible and document their management. A VMB can serve as a focal point for team discussion and a physical space to track each problem through its initial identification, understanding of root causes, consideration of potential solutions, and recording of intervention results.
A VMB can foster a culture of safety, leadership commitment, and continuous process improvement when designed and implemented to reflect team needs. VMBs can empower staff members to share work concerns and openly promote engagement. As a central place for discussion between staff and leaders, VMBs can also foster teamwork and communication. The daily huddle provides a safe, productive working environment by ensuring that lines of communication are open among all team members, regardless of role or leadership designation.
Limitations
This article focused on the implementation of 1 type of visual management tool. It provides an in-depth discussion of the development, implementation, and experience with a VMB at multiple clinics of a single section in 1 health care system. These reported experiences may not represent other VA facilities. Perceptions of the impact and usefulness of the VMB were mostly anecdotal. Further evaluation of the VMB implementation experience and utility at other VA health care systems would provide additional insight into the optimal implementation of VMBs.
Conclusions
Through increased transparency, empowerment, and communication, VMBs are an important tool in the visual management tool belt for organizations committed to HROs and Lean management. Given the successful institution of VMBs at the VAAAHS, the description of our experience may aid other VA systems for the incorporation of visual management into the daily culture of their respective health care teams.
References
1. Winner LE, Reinhardt E, Benishek L, Marsteller JA. Lean management systems in health care: a review of the literature. Qual Manag Health Care. 2022;31(4):221-230. doi:10.1097/QMH.0000000000000353
2. Mann D. Creating a Lean Culture: Tools to Sustain Lean Conversions. Productivity Press; 2005.
3. Graban M. Lean Hospitals: Improving Quality, Patient Safety, and Employee Engagement. 3rd ed. Productivity Press; 2016.
4. Veazie S, Peterson K, Bourne D. Evidence Brief: Implementation of High Reliability Organization Principles. US Dept of Veterans Affairs; 2019. https://www.ncbi.nlm.nih.gov/books/NBK542883/
6. Bourgault AM, Upvall MJ, Graham A. Using Gemba boards to facilitate evidence-based practice in critical care. Crit Care Nurse. 2018;38(3):e1-e7. doi:10.4037/ccn2018714
8. Creating a cardiovascular OR huddle board. AORN J. 2020;111(6):687-690. Published 28 May 2020. doi:10.1002/aorn.13057
9. Rakover J, Little K, Scoville R, Holder B. Implementing daily management systems to support sustained quality improvement in ambulatory surgery centers. AORN J. 2020;111(4):415-422. doi:10.1002/aorn.12988
10. Loesche AH. Using huddles to improve communication and teamwork in an instrument-processing department. Nurs Manag (Harrow). 2020;27(6):34-42. doi:10.7748/nm.2020.e1958
11. Zarbo RJ, Varney RC, Copeland JR, D’Angelo R, Sharma G. Daily management system of the Henry Ford production system: QTIPS to focus continuous improvements at the level of the work. Am J Clin Pathol. 2015;144(1):122-136. doi:1309/AJCPLQYMOFWU31CK
12. Hung D, Martinez M, Yakir M, Gray C. Implementing a lean management system in primary care: facilitators and barriers from the front lines. Qual Manag Health Care. 2015;24(3):103-108. doi:10.1097/QMH.0000000000000062
14. Leis JA, Shojania KG. A primer on PDSA: executing plan-do-study-act cycles in practice, not just in name. BMJ Qual Saf. 2017;26(7):572-577. doi:10.1136/bmjqs-2016-006245
aVeterans Affairs Ann Arbor Healthcare System, Michigan
bDepartment of Internal Medicine, University of Michigan, Ann Arbor
Author disclosures
Scott Hummel has received research grants from the National Institutes of Health, US Department of Veterans Affairs, and the American Heart Association, and is a site principal/coinvestigator for Alleviant Medical, AxonTherapeutics, Corvia Medical, and Novo Nordisk. The other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.
Ethics and consent
This project did not require institutional review board approval.
aVeterans Affairs Ann Arbor Healthcare System, Michigan
bDepartment of Internal Medicine, University of Michigan, Ann Arbor
Author disclosures
Scott Hummel has received research grants from the National Institutes of Health, US Department of Veterans Affairs, and the American Heart Association, and is a site principal/coinvestigator for Alleviant Medical, AxonTherapeutics, Corvia Medical, and Novo Nordisk. The other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.
Ethics and consent
This project did not require institutional review board approval.
Author and Disclosure Information
Jessica I. Gupta, MDa,b; Stacy Sivils, MSN, RNa; James Reppert, RNa; Wendy Paulot, MS, HIIM, RHIAa; Nathan Houchens, MDa,b; Scott Hummel, MDa,b
aVeterans Affairs Ann Arbor Healthcare System, Michigan
bDepartment of Internal Medicine, University of Michigan, Ann Arbor
Author disclosures
Scott Hummel has received research grants from the National Institutes of Health, US Department of Veterans Affairs, and the American Heart Association, and is a site principal/coinvestigator for Alleviant Medical, AxonTherapeutics, Corvia Medical, and Novo Nordisk. The other authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.
Ethics and consent
This project did not require institutional review board approval.
Health care organizations began implementing Lean management and high reliability organization (HRO) principles in the 1990s to improve quality and efficiency by aligning leaders and staff to a shared vision, fostering a culture of continuous improvement, identifying the root causes of complex problems, and engaging frontline staff as drivers of improvement efforts.1 There are 4 components for establishing a Lean management system: (1) leader standard work; (2) visual management; (3) daily accountability; and (4) discipline to institute the first 3 components.2 Leader standard work promotes continuous improvement by setting a standard routine of behaviors, actions, and tools consistently performed by leadership. These include routine and frequent frontline check-ins (ie, Gemba walks) as well as standardization of employee onboarding, training, and evaluations. Visual management refers to the process of making problems and abnormal conditions readily apparent to staff and leadership.3
The US Department of Veterans Affairs (VA) is committed to implementing similar principles of HROs, which focus on error analysis and process improvement to foster a culture of safety, leadership commitment, and staff engagement.4,5 Visual management is an important tool for HROs; it reflects the mindset of promoting transparency, teamwork, and openness.6,7
Visual management boards (VMBs), such as huddle boards, Gemba boards, or visibility walls, are critical tools that can promote daily accountability and the core principles of Lean thinking and HROs.1,6,8,9 Accountability is enhanced through frequent real-time, data-driven feedback between staff and leadership. This is often facilitated with a huddle, a structured and disciplined team meeting that provides bidirectional information.1 Frequently, a VMB is incorporated into the structure and flow of the huddle.
In a literature review of 20 years of implementation of Lean management systems in health care, Winner and colleagues report that while the frequency and duration of huddles vary, they are often united by several characteristics, including the involvement of the unit team, focus on feedback, problem identification and solutions, and central location around a visual board.1 VMBs most often take the form of a magnetic, dry-erase board located in a hall or conference room central to the work area.1 In addition to identifying and tracking problems in the place of work, VMBs can also provide a representation of key performance indicators and metrics, disseminate essential unit information, and acknowledge the work and successes of staff and leaders.6,8-12
This article outlines the commitment of the Lieutenant Colonel Charles S. Kettles VA Medical Center (VAMC) within the VA Ann Arbor Healthcare System (VAAAHS) to the HRO principle of visual management. We describe the incorporation of VMBs throughout VAAAHS and provide a detailed report of the development and use at a large outpatient subspecialty clinic.
Implementation
The goal of implementing visual management tools at VAAAHS was to empower staff members to identify problems and process improvements, enhance teamwork, and improve communication between staff and section leadership. The Systems Redesign and Improvement Program (SR), which supports Veteran Health Administration high reliability initiatives, helped implement VMBs in VAAAHS departments. Each board was designed to meet the specialized needs of each respective team and could be a physical board, virtual board, or combination. However, all boards sought to create standardized work and identify department needs.
The VAAAHS outpatient cardiology section VMB complemented an existing daily huddle framework. The cardiology section is large and diverse, with 6 subspecialty clinics, and team members who work in multiple locations. The clinic team includes 19 faculty physicians, 14 cardiology fellow physicians,9 nurse care managers, 13 nurse practitioners, 2 licensed practical nurses, and 5 medical support assistants at both the Lieutenant Colonel Charles S. Kettles VAMC and Toledo, Ohio, community based outpatient clinic. Prior to VMB implementation, a morning huddle with clinic team members led by a cardiology manager was an unstructured group discussion about clinic operations for the day. While the daily huddle had a positive impact on staff orientation to daily goals, it did not fully meet the aims of staff empowerment, problem identification and tracking, and knowledge distribution. The VMB was codeveloped with cardiology and the SR program with these goals in mind.
Cardiology was the first VAAAHS outpatient subspecialty clinic to institute a VMB. Two boards were created: a large standard VMB (Figure 1) and a smaller kudos board (Figure 2), which were placed in a central hallway in which staff members and patients pass frequently throughout the day. This location was chosen to promote engagement and promote the VAAAHS commitment to continuous improvement. The VMB focused on identifying and tracking problems, information sharing, and metric monitoring. The goal of the smaller kudos board was to highlight staff achievements and provide an opportunity for patient feedback.
The SR program required that the board incorporate problem identification and a uniform VAAAHS ticket tracking system. Each department could customize the VMB to fit its needs. Staff members are asked to define a problem, complete a ticket describing the issue, consider possible root causes, and suggest solutions. This approach empowers staff to take ownership, make a problem visible, and identify a solution. The problem is then discussed in group huddles using an Impact and Effort Matrix, a tool focused on categorizing and prioritizing those interventions that require low effort and lead to high impact.13
Tickets move along the board as they are addressed using a Plan-Do-Study-Act problem-solving model.14 Plan involves identifying and assigning leadership for the problem and understanding its root causes. Do involves implementing an action plan. Study involves evaluating the results. Finally, Act involves determining whether the plan was successful, and if so, standardizing the improvement and using it regularly.14 Complicated projects that require higher effort or additional resources are moved to the roll-up and parking lot, so they may be addressed by leadership at an appropriate time. Roll up is the escalation of process improvement tickets that frontline staff are unable to resolve with their current resources. The parking lot is for tickets that staff want to address later based on priority determined using an impact vs effort matrix. This allows for enhanced bidirectional communication between the department and high-level leadership, showing a commitment to HRO principles at all levels. The cardiology department customized its board to include essential clinic information, such as faculty staffing for the clinic that day and clinic metric information (eg, patient satisfaction scores, and appointment wait times). The kudos board, a space for patient feedback and to celebrate staff accomplishments, was located across the hall closest to the waiting area.
After the VMB was implemented as a new component to the daily team huddle, the group discussion physically moved to just in front of the board; pertinent clinic information is discussed daily, and the ticketing system is discussed 1 to 3 times per week, depending on ticket progress. Open and unresolved tickets are reviewed for updates on the status by the responsible team member, who receives ongoing feedback and assistance.
Program Impact
A total of 55 improvement opportunity tickets were submitted by staff members during the initial 23 months after the implementation of the outpatient cardiology clinic VMB. Most were submitted by nurse practitioners, although there were contributions from all faculty and staff. The high percentage of ticket submissions by nurse practitioners may be related to their full-time daily presence in the clinic, whereas some other staff members are part-time (most physicians are present 1 day each week). Improvement opportunities were noted within a variety of areas, including clinic facilities (eg, clinic equipment), communication between the clinic and patients (eg, telephone calls from patients or appointment letters), and patient care (eg, medication reconciliation and laboratory requisition).
In an improvement opportunity ticket, a staff member identified that the low seating in the patient waiting area was a fall risk and not diversified for varying body types. They posted a ticket, and the issue was discussed as a group. This staff member assumed ownership of the problem and placed an interior design request for taller chairs and bariatric options. The ticket was resolved when the waiting area was upgraded to include safer and more inclusive seating options for patients. Of 55 tickets submitted by staffas of June 2024, 45 have identified solutions, 4 are in process, and 6 have been placed in the parking lot. On average, the morning huddle spends about 5 to 10 minutes addressing tickets, but on occasion, more complex topics require additional time. The kudos board receives feedback from patients who express their gratitude, and serves as a space to celebrate awards received by staff members.
Implementing a VMB into daily huddles within the cardiology clinic led to increased staff engagement and ownership of challenges, as well as improved communication between frontline workers and leadership. VMBs have proven to be useful for annual staff performance evaluations because staff members who engaged in the board and volunteered to take accountability for ticket resolution could use those accomplishments in their assessments. Finally, VMBs made quality improvement and safety work accessible by normalizing frequent conversations. This empowered staff to engage in improvement projects and even led some members to enroll in formal Lean training.
The outpatient cardiology clinic VMB at the VAAAHS was identified as a best practice during a site visit by the Promising Practice Team in the Veterans Health Administration Office of Integrated Veteran Care. The outpatient cardiology clinic leadership team, including the authors of this article, was invited to present our visual management work as a main topic at the January 2024 Office of Integrated Veteran Care collaborative meeting.
Further Implementation
The SR program has collaborated with additional VAAAHS teams to implement VMBs. Forty-four physical VMBs and 20 virtual VMBs are currently in use throughout the VAAAHS. Virtual VMB content is similar to a physical board and can be modified by each team to meet its particular needs. Several virtual VMBs have been implemented at the VAAAHS and can achieve the same goals of staff teamwork, empowerment, and engagement. Each team can choose the format of the VMB that best fits their needs, which may be partially influenced by the team’s overall interaction style (on-site teams may function better with a physical VMB, and off-site teams may find a virtual VMB works best). VMBs have been implemented in various work areas, including laboratories, inpatient wards, subspecialty outpatient clinics, procedural areas, and the engineering department. In fiscal year 2024, 180 tickets were electronically submitted by teams across the VAAAHS, of which 170 identified solutions and were marked completed. Ticket counts may be underestimated since not all physical board tickets are reported in the electronic system. The SR program periodically attends morning huddles of various teams and obtains feedback on their VMBs, a practice that highlights its contribution to staff engagement, transparency, teamwork, and continuous improvement (Table). A goal of the SR program is to identify areas of the VAAAHS in which VMBs would add value to the team and implement them as necessary.
Discussion
VMBs are common in health care and are implemented to promote the core principlesof Lean thinking and HROs, including visual management and daily accountability. The goals of a visual management tool are to make problems visible and document their management. A VMB can serve as a focal point for team discussion and a physical space to track each problem through its initial identification, understanding of root causes, consideration of potential solutions, and recording of intervention results.
A VMB can foster a culture of safety, leadership commitment, and continuous process improvement when designed and implemented to reflect team needs. VMBs can empower staff members to share work concerns and openly promote engagement. As a central place for discussion between staff and leaders, VMBs can also foster teamwork and communication. The daily huddle provides a safe, productive working environment by ensuring that lines of communication are open among all team members, regardless of role or leadership designation.
Limitations
This article focused on the implementation of 1 type of visual management tool. It provides an in-depth discussion of the development, implementation, and experience with a VMB at multiple clinics of a single section in 1 health care system. These reported experiences may not represent other VA facilities. Perceptions of the impact and usefulness of the VMB were mostly anecdotal. Further evaluation of the VMB implementation experience and utility at other VA health care systems would provide additional insight into the optimal implementation of VMBs.
Conclusions
Through increased transparency, empowerment, and communication, VMBs are an important tool in the visual management tool belt for organizations committed to HROs and Lean management. Given the successful institution of VMBs at the VAAAHS, the description of our experience may aid other VA systems for the incorporation of visual management into the daily culture of their respective health care teams.
Health care organizations began implementing Lean management and high reliability organization (HRO) principles in the 1990s to improve quality and efficiency by aligning leaders and staff to a shared vision, fostering a culture of continuous improvement, identifying the root causes of complex problems, and engaging frontline staff as drivers of improvement efforts.1 There are 4 components for establishing a Lean management system: (1) leader standard work; (2) visual management; (3) daily accountability; and (4) discipline to institute the first 3 components.2 Leader standard work promotes continuous improvement by setting a standard routine of behaviors, actions, and tools consistently performed by leadership. These include routine and frequent frontline check-ins (ie, Gemba walks) as well as standardization of employee onboarding, training, and evaluations. Visual management refers to the process of making problems and abnormal conditions readily apparent to staff and leadership.3
The US Department of Veterans Affairs (VA) is committed to implementing similar principles of HROs, which focus on error analysis and process improvement to foster a culture of safety, leadership commitment, and staff engagement.4,5 Visual management is an important tool for HROs; it reflects the mindset of promoting transparency, teamwork, and openness.6,7
Visual management boards (VMBs), such as huddle boards, Gemba boards, or visibility walls, are critical tools that can promote daily accountability and the core principles of Lean thinking and HROs.1,6,8,9 Accountability is enhanced through frequent real-time, data-driven feedback between staff and leadership. This is often facilitated with a huddle, a structured and disciplined team meeting that provides bidirectional information.1 Frequently, a VMB is incorporated into the structure and flow of the huddle.
In a literature review of 20 years of implementation of Lean management systems in health care, Winner and colleagues report that while the frequency and duration of huddles vary, they are often united by several characteristics, including the involvement of the unit team, focus on feedback, problem identification and solutions, and central location around a visual board.1 VMBs most often take the form of a magnetic, dry-erase board located in a hall or conference room central to the work area.1 In addition to identifying and tracking problems in the place of work, VMBs can also provide a representation of key performance indicators and metrics, disseminate essential unit information, and acknowledge the work and successes of staff and leaders.6,8-12
This article outlines the commitment of the Lieutenant Colonel Charles S. Kettles VA Medical Center (VAMC) within the VA Ann Arbor Healthcare System (VAAAHS) to the HRO principle of visual management. We describe the incorporation of VMBs throughout VAAAHS and provide a detailed report of the development and use at a large outpatient subspecialty clinic.
Implementation
The goal of implementing visual management tools at VAAAHS was to empower staff members to identify problems and process improvements, enhance teamwork, and improve communication between staff and section leadership. The Systems Redesign and Improvement Program (SR), which supports Veteran Health Administration high reliability initiatives, helped implement VMBs in VAAAHS departments. Each board was designed to meet the specialized needs of each respective team and could be a physical board, virtual board, or combination. However, all boards sought to create standardized work and identify department needs.
The VAAAHS outpatient cardiology section VMB complemented an existing daily huddle framework. The cardiology section is large and diverse, with 6 subspecialty clinics, and team members who work in multiple locations. The clinic team includes 19 faculty physicians, 14 cardiology fellow physicians,9 nurse care managers, 13 nurse practitioners, 2 licensed practical nurses, and 5 medical support assistants at both the Lieutenant Colonel Charles S. Kettles VAMC and Toledo, Ohio, community based outpatient clinic. Prior to VMB implementation, a morning huddle with clinic team members led by a cardiology manager was an unstructured group discussion about clinic operations for the day. While the daily huddle had a positive impact on staff orientation to daily goals, it did not fully meet the aims of staff empowerment, problem identification and tracking, and knowledge distribution. The VMB was codeveloped with cardiology and the SR program with these goals in mind.
Cardiology was the first VAAAHS outpatient subspecialty clinic to institute a VMB. Two boards were created: a large standard VMB (Figure 1) and a smaller kudos board (Figure 2), which were placed in a central hallway in which staff members and patients pass frequently throughout the day. This location was chosen to promote engagement and promote the VAAAHS commitment to continuous improvement. The VMB focused on identifying and tracking problems, information sharing, and metric monitoring. The goal of the smaller kudos board was to highlight staff achievements and provide an opportunity for patient feedback.
The SR program required that the board incorporate problem identification and a uniform VAAAHS ticket tracking system. Each department could customize the VMB to fit its needs. Staff members are asked to define a problem, complete a ticket describing the issue, consider possible root causes, and suggest solutions. This approach empowers staff to take ownership, make a problem visible, and identify a solution. The problem is then discussed in group huddles using an Impact and Effort Matrix, a tool focused on categorizing and prioritizing those interventions that require low effort and lead to high impact.13
Tickets move along the board as they are addressed using a Plan-Do-Study-Act problem-solving model.14 Plan involves identifying and assigning leadership for the problem and understanding its root causes. Do involves implementing an action plan. Study involves evaluating the results. Finally, Act involves determining whether the plan was successful, and if so, standardizing the improvement and using it regularly.14 Complicated projects that require higher effort or additional resources are moved to the roll-up and parking lot, so they may be addressed by leadership at an appropriate time. Roll up is the escalation of process improvement tickets that frontline staff are unable to resolve with their current resources. The parking lot is for tickets that staff want to address later based on priority determined using an impact vs effort matrix. This allows for enhanced bidirectional communication between the department and high-level leadership, showing a commitment to HRO principles at all levels. The cardiology department customized its board to include essential clinic information, such as faculty staffing for the clinic that day and clinic metric information (eg, patient satisfaction scores, and appointment wait times). The kudos board, a space for patient feedback and to celebrate staff accomplishments, was located across the hall closest to the waiting area.
After the VMB was implemented as a new component to the daily team huddle, the group discussion physically moved to just in front of the board; pertinent clinic information is discussed daily, and the ticketing system is discussed 1 to 3 times per week, depending on ticket progress. Open and unresolved tickets are reviewed for updates on the status by the responsible team member, who receives ongoing feedback and assistance.
Program Impact
A total of 55 improvement opportunity tickets were submitted by staff members during the initial 23 months after the implementation of the outpatient cardiology clinic VMB. Most were submitted by nurse practitioners, although there were contributions from all faculty and staff. The high percentage of ticket submissions by nurse practitioners may be related to their full-time daily presence in the clinic, whereas some other staff members are part-time (most physicians are present 1 day each week). Improvement opportunities were noted within a variety of areas, including clinic facilities (eg, clinic equipment), communication between the clinic and patients (eg, telephone calls from patients or appointment letters), and patient care (eg, medication reconciliation and laboratory requisition).
In an improvement opportunity ticket, a staff member identified that the low seating in the patient waiting area was a fall risk and not diversified for varying body types. They posted a ticket, and the issue was discussed as a group. This staff member assumed ownership of the problem and placed an interior design request for taller chairs and bariatric options. The ticket was resolved when the waiting area was upgraded to include safer and more inclusive seating options for patients. Of 55 tickets submitted by staffas of June 2024, 45 have identified solutions, 4 are in process, and 6 have been placed in the parking lot. On average, the morning huddle spends about 5 to 10 minutes addressing tickets, but on occasion, more complex topics require additional time. The kudos board receives feedback from patients who express their gratitude, and serves as a space to celebrate awards received by staff members.
Implementing a VMB into daily huddles within the cardiology clinic led to increased staff engagement and ownership of challenges, as well as improved communication between frontline workers and leadership. VMBs have proven to be useful for annual staff performance evaluations because staff members who engaged in the board and volunteered to take accountability for ticket resolution could use those accomplishments in their assessments. Finally, VMBs made quality improvement and safety work accessible by normalizing frequent conversations. This empowered staff to engage in improvement projects and even led some members to enroll in formal Lean training.
The outpatient cardiology clinic VMB at the VAAAHS was identified as a best practice during a site visit by the Promising Practice Team in the Veterans Health Administration Office of Integrated Veteran Care. The outpatient cardiology clinic leadership team, including the authors of this article, was invited to present our visual management work as a main topic at the January 2024 Office of Integrated Veteran Care collaborative meeting.
Further Implementation
The SR program has collaborated with additional VAAAHS teams to implement VMBs. Forty-four physical VMBs and 20 virtual VMBs are currently in use throughout the VAAAHS. Virtual VMB content is similar to a physical board and can be modified by each team to meet its particular needs. Several virtual VMBs have been implemented at the VAAAHS and can achieve the same goals of staff teamwork, empowerment, and engagement. Each team can choose the format of the VMB that best fits their needs, which may be partially influenced by the team’s overall interaction style (on-site teams may function better with a physical VMB, and off-site teams may find a virtual VMB works best). VMBs have been implemented in various work areas, including laboratories, inpatient wards, subspecialty outpatient clinics, procedural areas, and the engineering department. In fiscal year 2024, 180 tickets were electronically submitted by teams across the VAAAHS, of which 170 identified solutions and were marked completed. Ticket counts may be underestimated since not all physical board tickets are reported in the electronic system. The SR program periodically attends morning huddles of various teams and obtains feedback on their VMBs, a practice that highlights its contribution to staff engagement, transparency, teamwork, and continuous improvement (Table). A goal of the SR program is to identify areas of the VAAAHS in which VMBs would add value to the team and implement them as necessary.
Discussion
VMBs are common in health care and are implemented to promote the core principlesof Lean thinking and HROs, including visual management and daily accountability. The goals of a visual management tool are to make problems visible and document their management. A VMB can serve as a focal point for team discussion and a physical space to track each problem through its initial identification, understanding of root causes, consideration of potential solutions, and recording of intervention results.
A VMB can foster a culture of safety, leadership commitment, and continuous process improvement when designed and implemented to reflect team needs. VMBs can empower staff members to share work concerns and openly promote engagement. As a central place for discussion between staff and leaders, VMBs can also foster teamwork and communication. The daily huddle provides a safe, productive working environment by ensuring that lines of communication are open among all team members, regardless of role or leadership designation.
Limitations
This article focused on the implementation of 1 type of visual management tool. It provides an in-depth discussion of the development, implementation, and experience with a VMB at multiple clinics of a single section in 1 health care system. These reported experiences may not represent other VA facilities. Perceptions of the impact and usefulness of the VMB were mostly anecdotal. Further evaluation of the VMB implementation experience and utility at other VA health care systems would provide additional insight into the optimal implementation of VMBs.
Conclusions
Through increased transparency, empowerment, and communication, VMBs are an important tool in the visual management tool belt for organizations committed to HROs and Lean management. Given the successful institution of VMBs at the VAAAHS, the description of our experience may aid other VA systems for the incorporation of visual management into the daily culture of their respective health care teams.
References
1. Winner LE, Reinhardt E, Benishek L, Marsteller JA. Lean management systems in health care: a review of the literature. Qual Manag Health Care. 2022;31(4):221-230. doi:10.1097/QMH.0000000000000353
2. Mann D. Creating a Lean Culture: Tools to Sustain Lean Conversions. Productivity Press; 2005.
3. Graban M. Lean Hospitals: Improving Quality, Patient Safety, and Employee Engagement. 3rd ed. Productivity Press; 2016.
4. Veazie S, Peterson K, Bourne D. Evidence Brief: Implementation of High Reliability Organization Principles. US Dept of Veterans Affairs; 2019. https://www.ncbi.nlm.nih.gov/books/NBK542883/
6. Bourgault AM, Upvall MJ, Graham A. Using Gemba boards to facilitate evidence-based practice in critical care. Crit Care Nurse. 2018;38(3):e1-e7. doi:10.4037/ccn2018714
8. Creating a cardiovascular OR huddle board. AORN J. 2020;111(6):687-690. Published 28 May 2020. doi:10.1002/aorn.13057
9. Rakover J, Little K, Scoville R, Holder B. Implementing daily management systems to support sustained quality improvement in ambulatory surgery centers. AORN J. 2020;111(4):415-422. doi:10.1002/aorn.12988
10. Loesche AH. Using huddles to improve communication and teamwork in an instrument-processing department. Nurs Manag (Harrow). 2020;27(6):34-42. doi:10.7748/nm.2020.e1958
11. Zarbo RJ, Varney RC, Copeland JR, D’Angelo R, Sharma G. Daily management system of the Henry Ford production system: QTIPS to focus continuous improvements at the level of the work. Am J Clin Pathol. 2015;144(1):122-136. doi:1309/AJCPLQYMOFWU31CK
12. Hung D, Martinez M, Yakir M, Gray C. Implementing a lean management system in primary care: facilitators and barriers from the front lines. Qual Manag Health Care. 2015;24(3):103-108. doi:10.1097/QMH.0000000000000062
14. Leis JA, Shojania KG. A primer on PDSA: executing plan-do-study-act cycles in practice, not just in name. BMJ Qual Saf. 2017;26(7):572-577. doi:10.1136/bmjqs-2016-006245
References
1. Winner LE, Reinhardt E, Benishek L, Marsteller JA. Lean management systems in health care: a review of the literature. Qual Manag Health Care. 2022;31(4):221-230. doi:10.1097/QMH.0000000000000353
2. Mann D. Creating a Lean Culture: Tools to Sustain Lean Conversions. Productivity Press; 2005.
3. Graban M. Lean Hospitals: Improving Quality, Patient Safety, and Employee Engagement. 3rd ed. Productivity Press; 2016.
4. Veazie S, Peterson K, Bourne D. Evidence Brief: Implementation of High Reliability Organization Principles. US Dept of Veterans Affairs; 2019. https://www.ncbi.nlm.nih.gov/books/NBK542883/
6. Bourgault AM, Upvall MJ, Graham A. Using Gemba boards to facilitate evidence-based practice in critical care. Crit Care Nurse. 2018;38(3):e1-e7. doi:10.4037/ccn2018714
8. Creating a cardiovascular OR huddle board. AORN J. 2020;111(6):687-690. Published 28 May 2020. doi:10.1002/aorn.13057
9. Rakover J, Little K, Scoville R, Holder B. Implementing daily management systems to support sustained quality improvement in ambulatory surgery centers. AORN J. 2020;111(4):415-422. doi:10.1002/aorn.12988
10. Loesche AH. Using huddles to improve communication and teamwork in an instrument-processing department. Nurs Manag (Harrow). 2020;27(6):34-42. doi:10.7748/nm.2020.e1958
11. Zarbo RJ, Varney RC, Copeland JR, D’Angelo R, Sharma G. Daily management system of the Henry Ford production system: QTIPS to focus continuous improvements at the level of the work. Am J Clin Pathol. 2015;144(1):122-136. doi:1309/AJCPLQYMOFWU31CK
12. Hung D, Martinez M, Yakir M, Gray C. Implementing a lean management system in primary care: facilitators and barriers from the front lines. Qual Manag Health Care. 2015;24(3):103-108. doi:10.1097/QMH.0000000000000062
14. Leis JA, Shojania KG. A primer on PDSA: executing plan-do-study-act cycles in practice, not just in name. BMJ Qual Saf. 2017;26(7):572-577. doi:10.1136/bmjqs-2016-006245
Recognizing the increasing importance of digital pathology and its potential impact to transform federal health care, government, military, and university digital pathology specialists convened in May 2023 to share expertise to advance the use of digital pathology in federal health care.
The seminar was hosted by the University of Pittsburgh and led by Ronald Poropatich, MD, Director of the Center for Military Medicine Research, Health Sciences, and Professor of Medicine at the University of Pittsburgh Medical Center, and Douglas Hartman, MD, Vice Chair of Pathology Informatics, Associate Director of the Center for AI Innovation in Medical Imaging, and Professor of Pathology at the University of Pittsburgh/University of Pittsburgh Medical Center (UPMC).
Invitees included senior federal government pathologists, laboratory scientists, IT leaders, and stakeholders from the VA, DoD, HHS (NIH, CDC, IHS, FDA) and other federal agencies. The speakers for the conference were CDR Roger Boodoo, MD, Chief of Innovation, Defense Health Agency; Ryan Collins, MD, Pathologist, Williamsport Pathology Association; Pat Flanders, Chief Information Officer, J6, Defense Health Agency; Matthew Hanna, MD, Director, Digital Pathology Informatics, Memorial Sloan Kettering Cancer Center; Stephanie Harmon, PhD, Staff Scientist, NIH NCI, Imaging/Data Scientist in Molecular Imaging; Douglas Hartman, MD, Vice Chair of Pathology Informatics, University of Pittsburgh; Stephen Hewitt, MD, PhD, Head, Experimental Pathology Laboratory, NIH NCI, Center for Cancer Research; Jason Hipp, MD, PhD, Chief Digital Innovation Officer, Mayo Collaborate Services, Mayo Clinic; Brian Lein, MD, Assistant Director, Healthcare Administration, Defense Health Agency; Col Mark Lyman, MD, Pathology Consultant to the US Air Force Surgeon General; COL Joel Moncur, MD, Director, Joint Pathology Center; Ronald Poropatich, MD, Director of the Center for Military Medicine Research, Health Sciences; Professor of Medicine, University of Pittsburgh; David Shulkin, MD, Ninth U.S. Secretary of Veterans Affairs; Eliot Siegel, MD, Chief of Radiology and Nuclear Medicine, Veterans Affairs Maryland Healthcare System; Professor and Vice Chair, University of Maryland School of Medicine; CDR Jenny Smith, DO, Pathologist, US Naval Medical Center Portsmouth; Shandong Wu, PhD, Associate Professor, Departments of Radiology, Biomedical Informatics, and Bioengineering, Director of Center for Artificial Intelligence Innovation in Medical Imaging, University of Pittsburgh; LCDR Victoria Mahar MD, Pathologist, US Army.
Throughout the 1.5-day meeting, topics such as the integration of systems, the value of single vendor solutions vs multiple vendors, and the interconnectedness of radiology and pathology in health care were discussed. The speakers addressed the challenges of adopting digital pathology, including workflow improvement, quality control, and the generalizability of algorithms. The importance of collaboration, leadership, data analytics, compliance with clinical practice guidelines, and research and development efforts were stressed. The increasingly important role of artificial intelligence (AI) in digital pathology, its applications, and its benefits were also highlighted. Continuing education credits were offered to participants.
Overall, the meeting provided valuable insights into the advancements, challenges, and potential of digital pathology, AI, and technology integration in the federal health care ecosystem. However, this cannot be achieved without leadership from and close collaboration between key industry, academic, and government stakeholders.
Uses of Digital Pathology
Digital pathology refers to the practice of digitizing glass slides containing tissue samples and using digital imaging technology to analyze and interpret them. It involves capturing high-resolution images of microscopic slides and storing them in a digital format. These digitized images can be accessed and analyzed using computer-based tools and software.
While traditional pathology involves examining tissue samples under a microscope to make diagnoses and provide insights into diseases and conditions, digital pathology uses digital scanners that capture all relevant tissue on the glass slide at high magnification. This process generates a high-fidelity digital representation of the tissue sample that can be navigated akin to how glass slides are reviewed on a brightfield microscope in current practice (eg, panning, zooming, etc). Microscopic review of patient specimens in pathology allows for identifying patterns and markers that may not be easily detectable with manual examination alone.
The digitized slides can be stored in a database or a slide management system, allowing pathologists and other healthcare professionals to access and review them remotely, thus creating the potential to improve collaboration among pathologists, facilitate second opinions, and enable easier access to archived slides for research purposes.
Potential Benefits
Digital pathology also opens the door to advanced image analysis techniques, such as computer-aided diagnosis, machine learning, and AI algorithms, with the potential for the following outcomes and benefits:
Improved accuracy AI algorithms can analyze large volumes of digital pathology data with great precision, reducing the chances of human error and subjective interpretation. This can lead to more accurate and consistent diagnoses, especially in challenging cases where subtle patterns or features may be difficult to detect.
Automated detection and classification AI algorithms can be trained to detect and classify specific features or abnormalities in digital pathology images. For example, AI models can identify cancerous cells, tissue patterns associated with different diseases, or specific biomarkers. This can assist pathologists in diagnosing diseases more accurately and efficiently.
Quantitative analysis AI can analyze large quantities of digital pathology data and extract quantitative measurements. For instance, it can calculate the percentage of tumor cells in a sample, assess the density of immune cells, or measure the extent of tissue damage. These objective measurements can aid in prognosis prediction and treatment planning.
Image segmentation AI algorithms can segment digital pathology images into different regions or structures, such as nuclei, cytoplasm, or blood vessels. This segmentation allows for precise analysis and extraction of features for further study. It can also facilitate the identification of specific cell types or tissue components.
Image enhancement AI techniques can enhance the quality of digital pathology images by improving clarity and reducing noise or artifacts. This can help pathologists visualize and interpret slides more effectively, especially in challenging cases with low-quality or complex images.
Decision support systems AI-powered decision support systems can assist pathologists by providing recommendations or second opinions based on the analysis of digital pathology data. These systems can offer insights, suggest potential diagnoses, or provide relevant research references, augmenting the pathologist’s expertise and improving diagnostic accuracy.
Collaboration and second opinions Digital pathology, combined with AI, facilitates remote access to digitized slides, enabling pathologists to seek second opinions or collaborate with experts from around the world. This can enhance the quality of diagnoses by leveraging the collective expertise of pathologists and fostering knowledge sharing.
Education and training AI algorithms can be utilized in virtual microscopy platforms to create interactive and educational experiences. Pathology residents and students can learn from annotated cases, receive real-time feedback, and develop their skills in a digital environment.
Research and discovery AI can assist in identifying patterns, correlations, and novel biomarkers in digital pathology data. By analyzing large datasets, AI algorithms can help uncover new insights, contribute to research advancements, and aid in the development of personalized medicine approaches.
Predictive modeling AI can analyze vast amounts of digital pathology data, patient records, and outcomes to develop predictive models. These models can estimate disease progression, treatment response, or patient survival rates based on various factors. They can contribute to personalized medicine by assisting in treatment decisions and prognosis assessment.
It is important to note that while AI has shown promising results, it is not intended to replace human pathologists but to augment their capabilities. Overall, the combination of AI technology with the expertise of pathologists can lead to improved diagnosis, better patient care, and more efficient workflows in digital pathology.
Recognizing the increasing importance of digital pathology and its potential impact to transform federal health care, government, military, and university digital pathology specialists convened in May 2023 to share expertise to advance the use of digital pathology in federal health care.
The seminar was hosted by the University of Pittsburgh and led by Ronald Poropatich, MD, Director of the Center for Military Medicine Research, Health Sciences, and Professor of Medicine at the University of Pittsburgh Medical Center, and Douglas Hartman, MD, Vice Chair of Pathology Informatics, Associate Director of the Center for AI Innovation in Medical Imaging, and Professor of Pathology at the University of Pittsburgh/University of Pittsburgh Medical Center (UPMC).
Invitees included senior federal government pathologists, laboratory scientists, IT leaders, and stakeholders from the VA, DoD, HHS (NIH, CDC, IHS, FDA) and other federal agencies. The speakers for the conference were CDR Roger Boodoo, MD, Chief of Innovation, Defense Health Agency; Ryan Collins, MD, Pathologist, Williamsport Pathology Association; Pat Flanders, Chief Information Officer, J6, Defense Health Agency; Matthew Hanna, MD, Director, Digital Pathology Informatics, Memorial Sloan Kettering Cancer Center; Stephanie Harmon, PhD, Staff Scientist, NIH NCI, Imaging/Data Scientist in Molecular Imaging; Douglas Hartman, MD, Vice Chair of Pathology Informatics, University of Pittsburgh; Stephen Hewitt, MD, PhD, Head, Experimental Pathology Laboratory, NIH NCI, Center for Cancer Research; Jason Hipp, MD, PhD, Chief Digital Innovation Officer, Mayo Collaborate Services, Mayo Clinic; Brian Lein, MD, Assistant Director, Healthcare Administration, Defense Health Agency; Col Mark Lyman, MD, Pathology Consultant to the US Air Force Surgeon General; COL Joel Moncur, MD, Director, Joint Pathology Center; Ronald Poropatich, MD, Director of the Center for Military Medicine Research, Health Sciences; Professor of Medicine, University of Pittsburgh; David Shulkin, MD, Ninth U.S. Secretary of Veterans Affairs; Eliot Siegel, MD, Chief of Radiology and Nuclear Medicine, Veterans Affairs Maryland Healthcare System; Professor and Vice Chair, University of Maryland School of Medicine; CDR Jenny Smith, DO, Pathologist, US Naval Medical Center Portsmouth; Shandong Wu, PhD, Associate Professor, Departments of Radiology, Biomedical Informatics, and Bioengineering, Director of Center for Artificial Intelligence Innovation in Medical Imaging, University of Pittsburgh; LCDR Victoria Mahar MD, Pathologist, US Army.
Throughout the 1.5-day meeting, topics such as the integration of systems, the value of single vendor solutions vs multiple vendors, and the interconnectedness of radiology and pathology in health care were discussed. The speakers addressed the challenges of adopting digital pathology, including workflow improvement, quality control, and the generalizability of algorithms. The importance of collaboration, leadership, data analytics, compliance with clinical practice guidelines, and research and development efforts were stressed. The increasingly important role of artificial intelligence (AI) in digital pathology, its applications, and its benefits were also highlighted. Continuing education credits were offered to participants.
Overall, the meeting provided valuable insights into the advancements, challenges, and potential of digital pathology, AI, and technology integration in the federal health care ecosystem. However, this cannot be achieved without leadership from and close collaboration between key industry, academic, and government stakeholders.
Uses of Digital Pathology
Digital pathology refers to the practice of digitizing glass slides containing tissue samples and using digital imaging technology to analyze and interpret them. It involves capturing high-resolution images of microscopic slides and storing them in a digital format. These digitized images can be accessed and analyzed using computer-based tools and software.
While traditional pathology involves examining tissue samples under a microscope to make diagnoses and provide insights into diseases and conditions, digital pathology uses digital scanners that capture all relevant tissue on the glass slide at high magnification. This process generates a high-fidelity digital representation of the tissue sample that can be navigated akin to how glass slides are reviewed on a brightfield microscope in current practice (eg, panning, zooming, etc). Microscopic review of patient specimens in pathology allows for identifying patterns and markers that may not be easily detectable with manual examination alone.
The digitized slides can be stored in a database or a slide management system, allowing pathologists and other healthcare professionals to access and review them remotely, thus creating the potential to improve collaboration among pathologists, facilitate second opinions, and enable easier access to archived slides for research purposes.
Potential Benefits
Digital pathology also opens the door to advanced image analysis techniques, such as computer-aided diagnosis, machine learning, and AI algorithms, with the potential for the following outcomes and benefits:
Improved accuracy AI algorithms can analyze large volumes of digital pathology data with great precision, reducing the chances of human error and subjective interpretation. This can lead to more accurate and consistent diagnoses, especially in challenging cases where subtle patterns or features may be difficult to detect.
Automated detection and classification AI algorithms can be trained to detect and classify specific features or abnormalities in digital pathology images. For example, AI models can identify cancerous cells, tissue patterns associated with different diseases, or specific biomarkers. This can assist pathologists in diagnosing diseases more accurately and efficiently.
Quantitative analysis AI can analyze large quantities of digital pathology data and extract quantitative measurements. For instance, it can calculate the percentage of tumor cells in a sample, assess the density of immune cells, or measure the extent of tissue damage. These objective measurements can aid in prognosis prediction and treatment planning.
Image segmentation AI algorithms can segment digital pathology images into different regions or structures, such as nuclei, cytoplasm, or blood vessels. This segmentation allows for precise analysis and extraction of features for further study. It can also facilitate the identification of specific cell types or tissue components.
Image enhancement AI techniques can enhance the quality of digital pathology images by improving clarity and reducing noise or artifacts. This can help pathologists visualize and interpret slides more effectively, especially in challenging cases with low-quality or complex images.
Decision support systems AI-powered decision support systems can assist pathologists by providing recommendations or second opinions based on the analysis of digital pathology data. These systems can offer insights, suggest potential diagnoses, or provide relevant research references, augmenting the pathologist’s expertise and improving diagnostic accuracy.
Collaboration and second opinions Digital pathology, combined with AI, facilitates remote access to digitized slides, enabling pathologists to seek second opinions or collaborate with experts from around the world. This can enhance the quality of diagnoses by leveraging the collective expertise of pathologists and fostering knowledge sharing.
Education and training AI algorithms can be utilized in virtual microscopy platforms to create interactive and educational experiences. Pathology residents and students can learn from annotated cases, receive real-time feedback, and develop their skills in a digital environment.
Research and discovery AI can assist in identifying patterns, correlations, and novel biomarkers in digital pathology data. By analyzing large datasets, AI algorithms can help uncover new insights, contribute to research advancements, and aid in the development of personalized medicine approaches.
Predictive modeling AI can analyze vast amounts of digital pathology data, patient records, and outcomes to develop predictive models. These models can estimate disease progression, treatment response, or patient survival rates based on various factors. They can contribute to personalized medicine by assisting in treatment decisions and prognosis assessment.
It is important to note that while AI has shown promising results, it is not intended to replace human pathologists but to augment their capabilities. Overall, the combination of AI technology with the expertise of pathologists can lead to improved diagnosis, better patient care, and more efficient workflows in digital pathology.
Recognizing the increasing importance of digital pathology and its potential impact to transform federal health care, government, military, and university digital pathology specialists convened in May 2023 to share expertise to advance the use of digital pathology in federal health care.
The seminar was hosted by the University of Pittsburgh and led by Ronald Poropatich, MD, Director of the Center for Military Medicine Research, Health Sciences, and Professor of Medicine at the University of Pittsburgh Medical Center, and Douglas Hartman, MD, Vice Chair of Pathology Informatics, Associate Director of the Center for AI Innovation in Medical Imaging, and Professor of Pathology at the University of Pittsburgh/University of Pittsburgh Medical Center (UPMC).
Invitees included senior federal government pathologists, laboratory scientists, IT leaders, and stakeholders from the VA, DoD, HHS (NIH, CDC, IHS, FDA) and other federal agencies. The speakers for the conference were CDR Roger Boodoo, MD, Chief of Innovation, Defense Health Agency; Ryan Collins, MD, Pathologist, Williamsport Pathology Association; Pat Flanders, Chief Information Officer, J6, Defense Health Agency; Matthew Hanna, MD, Director, Digital Pathology Informatics, Memorial Sloan Kettering Cancer Center; Stephanie Harmon, PhD, Staff Scientist, NIH NCI, Imaging/Data Scientist in Molecular Imaging; Douglas Hartman, MD, Vice Chair of Pathology Informatics, University of Pittsburgh; Stephen Hewitt, MD, PhD, Head, Experimental Pathology Laboratory, NIH NCI, Center for Cancer Research; Jason Hipp, MD, PhD, Chief Digital Innovation Officer, Mayo Collaborate Services, Mayo Clinic; Brian Lein, MD, Assistant Director, Healthcare Administration, Defense Health Agency; Col Mark Lyman, MD, Pathology Consultant to the US Air Force Surgeon General; COL Joel Moncur, MD, Director, Joint Pathology Center; Ronald Poropatich, MD, Director of the Center for Military Medicine Research, Health Sciences; Professor of Medicine, University of Pittsburgh; David Shulkin, MD, Ninth U.S. Secretary of Veterans Affairs; Eliot Siegel, MD, Chief of Radiology and Nuclear Medicine, Veterans Affairs Maryland Healthcare System; Professor and Vice Chair, University of Maryland School of Medicine; CDR Jenny Smith, DO, Pathologist, US Naval Medical Center Portsmouth; Shandong Wu, PhD, Associate Professor, Departments of Radiology, Biomedical Informatics, and Bioengineering, Director of Center for Artificial Intelligence Innovation in Medical Imaging, University of Pittsburgh; LCDR Victoria Mahar MD, Pathologist, US Army.
Throughout the 1.5-day meeting, topics such as the integration of systems, the value of single vendor solutions vs multiple vendors, and the interconnectedness of radiology and pathology in health care were discussed. The speakers addressed the challenges of adopting digital pathology, including workflow improvement, quality control, and the generalizability of algorithms. The importance of collaboration, leadership, data analytics, compliance with clinical practice guidelines, and research and development efforts were stressed. The increasingly important role of artificial intelligence (AI) in digital pathology, its applications, and its benefits were also highlighted. Continuing education credits were offered to participants.
Overall, the meeting provided valuable insights into the advancements, challenges, and potential of digital pathology, AI, and technology integration in the federal health care ecosystem. However, this cannot be achieved without leadership from and close collaboration between key industry, academic, and government stakeholders.
Uses of Digital Pathology
Digital pathology refers to the practice of digitizing glass slides containing tissue samples and using digital imaging technology to analyze and interpret them. It involves capturing high-resolution images of microscopic slides and storing them in a digital format. These digitized images can be accessed and analyzed using computer-based tools and software.
While traditional pathology involves examining tissue samples under a microscope to make diagnoses and provide insights into diseases and conditions, digital pathology uses digital scanners that capture all relevant tissue on the glass slide at high magnification. This process generates a high-fidelity digital representation of the tissue sample that can be navigated akin to how glass slides are reviewed on a brightfield microscope in current practice (eg, panning, zooming, etc). Microscopic review of patient specimens in pathology allows for identifying patterns and markers that may not be easily detectable with manual examination alone.
The digitized slides can be stored in a database or a slide management system, allowing pathologists and other healthcare professionals to access and review them remotely, thus creating the potential to improve collaboration among pathologists, facilitate second opinions, and enable easier access to archived slides for research purposes.
Potential Benefits
Digital pathology also opens the door to advanced image analysis techniques, such as computer-aided diagnosis, machine learning, and AI algorithms, with the potential for the following outcomes and benefits:
Improved accuracy AI algorithms can analyze large volumes of digital pathology data with great precision, reducing the chances of human error and subjective interpretation. This can lead to more accurate and consistent diagnoses, especially in challenging cases where subtle patterns or features may be difficult to detect.
Automated detection and classification AI algorithms can be trained to detect and classify specific features or abnormalities in digital pathology images. For example, AI models can identify cancerous cells, tissue patterns associated with different diseases, or specific biomarkers. This can assist pathologists in diagnosing diseases more accurately and efficiently.
Quantitative analysis AI can analyze large quantities of digital pathology data and extract quantitative measurements. For instance, it can calculate the percentage of tumor cells in a sample, assess the density of immune cells, or measure the extent of tissue damage. These objective measurements can aid in prognosis prediction and treatment planning.
Image segmentation AI algorithms can segment digital pathology images into different regions or structures, such as nuclei, cytoplasm, or blood vessels. This segmentation allows for precise analysis and extraction of features for further study. It can also facilitate the identification of specific cell types or tissue components.
Image enhancement AI techniques can enhance the quality of digital pathology images by improving clarity and reducing noise or artifacts. This can help pathologists visualize and interpret slides more effectively, especially in challenging cases with low-quality or complex images.
Decision support systems AI-powered decision support systems can assist pathologists by providing recommendations or second opinions based on the analysis of digital pathology data. These systems can offer insights, suggest potential diagnoses, or provide relevant research references, augmenting the pathologist’s expertise and improving diagnostic accuracy.
Collaboration and second opinions Digital pathology, combined with AI, facilitates remote access to digitized slides, enabling pathologists to seek second opinions or collaborate with experts from around the world. This can enhance the quality of diagnoses by leveraging the collective expertise of pathologists and fostering knowledge sharing.
Education and training AI algorithms can be utilized in virtual microscopy platforms to create interactive and educational experiences. Pathology residents and students can learn from annotated cases, receive real-time feedback, and develop their skills in a digital environment.
Research and discovery AI can assist in identifying patterns, correlations, and novel biomarkers in digital pathology data. By analyzing large datasets, AI algorithms can help uncover new insights, contribute to research advancements, and aid in the development of personalized medicine approaches.
Predictive modeling AI can analyze vast amounts of digital pathology data, patient records, and outcomes to develop predictive models. These models can estimate disease progression, treatment response, or patient survival rates based on various factors. They can contribute to personalized medicine by assisting in treatment decisions and prognosis assessment.
It is important to note that while AI has shown promising results, it is not intended to replace human pathologists but to augment their capabilities. Overall, the combination of AI technology with the expertise of pathologists can lead to improved diagnosis, better patient care, and more efficient workflows in digital pathology.
It is common practice to routinely measure postoperative hematocrit levels at US Department of Veterans Affairs (VA) hospitals for a wide range of elective general surgeries. While hematocrit measurement is a low-cost test, the high frequency with which these tests are performed may drastically increase overall costs.
Numerous studies have suggested that physicians overuse laboratory testing.1-10 Kohli and colleagues recommended that the routine practice of obtaining postoperative hematocrit tests following elective gynecologic surgery be abandoned.1 A similar recommendation was made by Olus and colleagues after studying uneventful, unplanned cesarean sections and by Wu and colleagues after investigating routine laboratory tests post total hip arthroplasty.2,3
To our knowledge, a study assessing routine postoperative hematocrit testing in elective general surgery has not yet been conducted. Many laboratory tests ordered in the perioperative period are not indicated, including complete blood count (CBC), electrolytes, and coagulation studies.4 Based on the results of these studies, we expected that the routine measurement of postoperative hematocrit levels after elective general surgeries at VA medical centers would not be cost effective. A PubMed search for articles published from 1990 to 2023 using the search terms “hematocrit,” “hemoglobin,” “general,” “surgery,” “routine,” and “cost” or “cost-effectiveness,” suggests that the clinical usefulness of postoperative hematocrit testing has not been well studied in the general surgery setting. The purpose of this study was to determine the clinical utility and associated cost of measuring routine postoperative hematocrit levels in order to generate a guide as to when the practice is warranted following common elective general surgery.
Although gynecologic textbooks may describe recommendations of routine hematocrit checking after elective gynecologic operations, one has difficulty finding the same recommendations in general surgery textbooks.1 However, it is common practice for surgical residents and attending surgeons to routinely order hematocrit on postoperative day-1 to ensure that the operation did not result in unsuspected anemia that then would need treatment (either with fluids or a blood transfusion). Many other surgeons rely on clinical factors such as tachycardia, oliguria, or hypotension to trigger a hematocrit (and other laboratory) tests. Our hypothesis is that the latter group has chosen the most cost-effective and prudent practice. One problem with checking the hematocrit routinely, as with any other screening test, is what to do with an abnormal result, assuming an asymptomatic patient? If the postoperative hematocrit is lower than expected given the estimated blood loss (EBL), what is one to do?
Methods
This retrospective case-control study conducted at the New Mexico VA Health Care System (NMVAHCS) in Albuquerque compared data for patients who received transfusion within 72 hours of elective surgeries vs patients who did not. Patients who underwent elective general surgery from January 2011 through December 2014 were included. An elective general surgery was defined as surgery performed following an outpatient preoperative anesthesia evaluation ≥ 30 days prior to operation. Patients who underwent emergency operations, and those with baseline anemia (preoperative hematocrit < 30%), and those transfused > 72 hours after their operation were excluded. The NMVAHCSInstitutional Review Board approved this study (No. 15-H184).
A detailed record review was conducted to collect data on demographics and other preoperative risk factors, including age, sex, body mass index (BMI), race and ethnicity, cardiac and pulmonary comorbidities, tobacco use, alcohol intake, diabetes, American Society of Anesthesiologists Physical Status Classification, metabolic equivalent of task, hematologic conditions, and renal disease.
For each procedure, we recorded the type of elective general surgery performed, the diagnosis/indication, pre- and postoperative hemoglobin/hematocrit, intraoperative EBL, length of operation, surgical wound class, length of hospital stay (LOS), intensive care unit (ICU) status, number of hematocrit tests, cardiovascular risk of operation (defined by anesthesia assessment), presence or absence of malignancy, preoperative platelet count, albumin level, preoperative prothrombin time/activated partial thromboplastin time (aPTT), international normalized ratio (INR), hemoglobin A1c, and incidence of transfusion. Signs and symptoms of anemia were recorded as present if the postoperative vital signs suggested low intravascular volume (pulse > 120 beats/minute, systolic blood pressure < 90 mm Hg, or vasoactive medication requirement [per anesthesia postoperative note]) or if the patient reported or exhibited symptoms of dizziness or fatigue or evidence of clinically apparent bleeding (ie, hematoma formation). Laboratory charges for hematocrit tests and CBC at the NMAVAHCS were used to assess cost.11
To stratify the transfusion risk, patients were distributed among 3 groups based on the following criteria: discharged home the same day as surgery; admitted but did not have postoperative hematocrit testing; and admitted and had postoperative hematocrit testing. We also stratified operations into low or high risk based on the risk for postoperative transfusion (Figure). Recognizing that the American College of Chest Physicians guidelines for perioperative management of antithrombotic therapy places bowel resection in a high-risk category, we designated a surgery as high risk when ≥ 2 patients in the transfusion group had that type of surgery over the 4 years of the study.12 Otherwise, the operations were deemed low risk.
Statistical Analysis
Numeric analysis used t tests and Binary and categorical variables used Fisher exact tests. P value ≤ .05 was considered statistically significant. SAS software was used for all statistical analyses.
Results
From 2011 through 2014, 1531 patients had elective general surgery at NMVAHCS. Twenty-two patients with preoperative anemia (hematocrit < 30%) and 1 patient who received a transfusion > 72 hours after the operation were excluded. Most elective operations (70%, n = 1075) were performed on an outpatient basis; none involved transfusion. Inguinal hernia repair was most common with 479 operations; 17 patients were treated inpatient of which 2 patients had routine postoperative hematocrit checks; (neither received transfusion). One patient with inguinal hernia surgery received transfusion without routine postoperative hematocrit monitoring.
Of 112 partial colon resections, 1 patient had a postoperative transfusion; and all but 3 received postoperative hematocrit monitoring. Nineteen patients undergoing partial colon resection had a clinical indication for postoperative hematocrit monitoring. None of the 5 patients with partial gastrectomy received a postoperative transfusion. Of 121 elective cholecystectomies, no patients had postoperative transfusion, whereas 34 had postoperative hematocrit monitoring; only 2 patients had a clinical reason for the hematocrit monitoring.
Of 430 elective inpatient operations, 12 received transfusions and 288 patients had ≥ 1 postoperative hematocrit test (67%). All hematocrit tests were requested by the attending surgeon, resident surgeon, or the surgical ICU team. Of the group that had postoperative hematocrit monitoring, there was an average of 4.4 postoperative hematocrit tests per patient (range, 1-44).
There were 12 transfusions for inpatients (2.8%), which is similar to the findings of a recent study of VA general surgery (2.3%).13 Five of the 12 patients received intraoperative transfusions while 7 were transfused within 72 hours postoperation. All but 1 patient receiving transfusion had EBL > 199 mL (range, 5-3000; mean, 950 mL; median, 500 mL) and/or signs or symptoms of anemia or other indications for measurement of the postoperative hematocrit. There were no statistically significant differences in patients’ age, sex, BMI, or race and ethnicity between groups receiving and not receiving transfusion (Table 1).
When comparing the transfusion vs the nontransfusion groups (after excluding those with clinical preoperative anemia) the risk factors for transfusion included: relatively low mean preoperative hematocrit (mean, 36.9% vs 42.7%, respectively; P= .003), low postoperative hematocrit (mean, 30.2% vs 37.1%, respectively; P< .001), high EBL (mean, 844 mL vs 109 mL, respectively; P = .005), large infusion of intraoperative fluids (mean, 4625 mL vs 2505 mL, respectively; P = .005), longer duration of operation (mean, 397 min vs 183 min, respectively; P < .001), and longer LOS (mean, 14.5 d vs 4.9 d, respectively; P < .001) (Table 2). Similarly, we found an increased risk for transfusion with high/intermediate cardiovascular risk (vs low), any wound not classified as clean, ICU stay, and postoperative symptoms of anemia.
We found no increased risk for transfusion with ethanol, tobacco, warfarin, or clopidogrel use; polycythemia; thrombocytopenia; preoperative INR; preoperative aPTT; preoperative albumin; Hemoglobin A1c; or diabetes mellitus; or for operations performed for malignancy. Ten patients in the ICU received transfusion (5.8%) compared with 2 patients (0.8%) not admitted to the ICU.
Operations were deemed high risk when ≥ 2 of patients having that operation received transfusions within 72 hours of their operation. There were 15 abdominoperineal resections; 3 of these received transfusions (20%). There were 7 total abdominal colectomies; 3 of these received transfusions (43%). We therefore had 22 high-risk operations, 6 of which were transfused (27%).
Discussion
Routine measurement of postoperative hematocrit levels after elective general surgery at NMVAHCS was not necessary. There were 12 transfusions for inpatients (2.8%), which is similar to the findings of a recent study of VA general surgery (2.3%).13 We found that routine postoperative hematocrit measurements to assess anemia had little or no effect on clinical decision-making or clinical outcomes.
According to our results, 88% of initial hematocrit tests after elective partial colectomies could have been eliminated; only 32 of 146 patients demonstrated a clinical reason for postoperative hematocrit testing. Similarly, 36 of 40 postcholecystectomy hematocrit tests (90%) could have been eliminated had the surgeons relied on clinical signs indicating possible postoperative anemia (none were transfused). Excluding patients with major intraoperative blood loss (> 300 mL), only 29 of 288 (10%) patients who had postoperative hematocrit tests had a clinical indication for a postoperative hematocrit test (ie, symptoms of anemia and/or active bleeding). One patient with inguinal hernia surgery who received transfusion was taking an anticoagulant and had a clinically indicated hematocrit test for a large hematoma that eventually required reoperation.
Our study found that routine hematocrit checks may actually increase the risk that a patient would receive an unnecessary transfusion. For instance, one elderly patient, after a right colectomy, had 6 hematocrit levels while on a heparin drip and received transfusion despite being asymptomatic. His lowest hematocrit level prior to transfusion was 23.7%. This patient had a total of 18 hematocrit tests. His EBL was 350 mL and his first postoperative HCT level was 33.1%. In another instance, a patient undergoing abdominoperineal resection had a transfusion on postoperative day 1, despite being hypertensive, with a hematocrit that ranged from 26% before transfusion to 31% after the transfusion. These 2 cases illustrate what has been shown in a recent study: A substantial number of patients with colorectal cancer receive unnecessary transfusions.14 On the other hand, one ileostomy closure patient had 33 hematocrit tests, yet his initial postoperative hematocrit was 37%, and he never received a transfusion. With low-risk surgeries, clinical judgment should dictate when a postoperative hematocrit level is needed. This strategy would have eliminated 206 unnecessary initial postoperative hematocrit tests (72%), could have decreased the number of unnecessary transfusions, and would have saved NMVAHCS about $1600 annually.
Abdominoperineal resections and total abdominal colectomies accounted for a high proportion of transfusions in our study. Inpatient elective operations can be risk stratified and have routine hematocrit tests ordered for patients at high risk. The probability of transfusion was greater in high-risk vs low-risk surgeries; 27% (6 of 22 patients) vs 2% (6 of 408 patients), respectively (P < .001). Since 14 of the 22 patients undergoing high-risk operation already had clinical reasons for a postoperative hematocrit test, we only need to add the remaining 8 patients with high-risk operations to the 74 who had a clinical reason for a hematocrit test and conclude that 82 of 430 patients (19%) had a clinical reason for a hematocrit test, either from signs or symptoms of blood loss or because they were in a high-risk group.
While our elective general surgery cases may not represent many general surgery programs in the US and VA health care systems, we can extrapolate cost savings using the same cost analyses outlined by Kohli and colleagues.1 Assuming 1.9 million elective inpatient general surgeries per year in the United States with an average cost of $21 per CBC, the annual cost of universal postoperative hematocrit testing would be $40 million.11,15 If postoperative hematocrit testing were 70% consistent with our findings, the annual cost for hematocrit tests on 51% of the inpatient general surgeries would be approximately $20.4 million. A reduction in routine hematocrit testing to 25% of all inpatient general surgeries (vs our finding that 19% were deemed necessary) results in an annual savings of $30 million. This conservative estimate could be even higher since there were 4.4 hematocrit tests per patient; therefore, we have about $132 million in savings.
Assuming 181,384 elective VA inpatient general surgeries each year, costing $7.14 per CBC (the NMVAHCS cost), the VA could save $1.3 million annually. If postoperative HCT testing were 70% consistent with our findings, the annual cost for hematocrit tests on 50.4% of inpatient general surgery operations would be about $653,000. A reduction in routine hematocrit testing to 25% of all inpatient general surgeries (vs our 19%) results in annual VA savings of $330,000. This conservative estimate could be even higher since there were on average 4.4 hematocrit levels per patient; therefore, we estimate that annual savings for the VA of about $1.45 million.
Limitations
The retrospective chart review nature of this study may have led to selection bias. Only a small number of patients received a transfusion, which may have skewed the data. This study population comes from a single VA medical center; this patient population may not be reflective of other VA medical centers or the US population as a whole. Given that NMVAHCS does not perform hepatic, esophageal, pancreas, or transplant operations, the potential savings to both the US and the VA may be overestimated, but this could be studied in the future by VA medical centers that perform more complex operations.
Conclusions
This study found that over a 4-year period routine postoperative hematocrit tests for patients undergoing elective general surgery at a VA medical center were not necessary. General surgeons routinely order various pre- and postoperative laboratory tests despite their limited utility. Reduction in unneeded routine tests could result in notable savings to the VA without compromising quality of care.
Only general surgery patients undergoing operations that carry a high risk for needing a blood transfusion should have a routine postoperative hematocrit testing. In our study population, the chance of an elective colectomy, cholecystectomy, or hernia patient needing a transfusion was rare. This strategy could eliminate a considerable number of unnecessary blood tests and would potentially yield significant savings.
2. Olus A, Orhan, U, Murat A, et al. Do asymptomatic patients require routine hemoglobin testing following uneventful, unplanned cesarean sections? Arch Gynecol Obstet. 2010;281(2):195-199. doi:10.1007/s00404-009-1093-1
3. Wu XD, Zhu ZL, Xiao P, Liu JC, Wang JW, Huang W. Are routine postoperative laboratory tests necessary after primary total hip arthroplasty? J Arthroplasty. 2020;35(10):2892-2898. doi:10.1016/j.arth.2020.04.097
4. Kumar A, Srivastava U. Role of routine laboratory investigations in preoperative evaluation. J Anesthesiol Clin Pharmacol. 2011;27(2):174-179. doi:10.4103/0970-9185.81824
5. Aghajanian A, Grimes DA. Routine prothrombin time determination before elective gynecologic operations. Obstet Gynecol. 1991;78(5 Pt 1):837-839.
6. Ransom SB, McNeeley SG, Malone JM Jr. A cost-effectiveness evaluation of preoperative type-and-screen testing for vaginal hysterectomy. Am J Obstet Gynecol. 1996;175(5):1201-1203. doi:10.1016/s0002-9378(96)70028-5
7. Ransom SB, McNeeley SG, Hosseini RB. Cost-effectiveness of routine blood type and screen testing before elective laparoscopy. Obstet Gynecol. 1995;86(3):346-348. doi:10.1016/0029-7844(95)00187-V
8. Committee on Standards and Practice Parameters, Apfelbaum JL, Connis RT, et al. Practice advisory for preanesthesia evaluation: an updated report by the American Society of Anesthesiologists Task Force on Preanesthesia Evaluation. Anesthesiology. 2012;116(3):522-538. doi:10.1097/ALN.0b013e31823c1067
9. Weil IA, Seicean S, Neuhauser D, Schiltz NK, Seicean A. Use and utility of hemostatic screening in adults undergoing elective, non-cardiac surgery. PLoS One. 2015;10(12):e0139139. doi:10.1371/journal.pone.0139139
10. Wu WC, Schifftner TL, Henderson WG, et al. Preoperative hematocrit levels and postoperative outcomes in older patients undergoing non-cardiac surgery. JAMA. 2007;297(22):2481-2488. doi:10.1001/jama.297.22.2481
12. Douketis JD, Spyropoulos AC, Murad MH, et al. Perioperative management of antithrombotic therapy: an American College of Chest Physicians Clinical Practice Guideline. Chest. 2022;162(5):e207-e243. doi:10.1016/j.chest.2022.07.025
13. Randall JA, Wagner KT, Brody F. Perioperative transfusions in veterans following noncardiac procedures. J Laparoendosc Adv Surg Tech A. 2023;33(10):923-931. doi:10.1089/lap. 2023.0307
14. Tartter PI, Barron DM. Unnecessary blood transfusions in elective colorectal cancer surgery. Transfusion. 1985;25(2):113-115. doi:10.1046/j.1537-2995.1985.25285169199.x
15. Steiner CA, Karaca Z, Moore BJ, Imshaug MC, Pickens G. Surgeries in hospital-based ambulatory surgery and hospital inpatient settings, 2014. Healthcare Cost and Utilization Project statistical brief #223. May 2017. Revised July 2020. Agency for Healthcare Research and Quality. Accessed February 26, 2024. https://hcup-us.ahrq.gov/reports/statbriefs/sb223-Ambulatory-Inpatient-Surgeries-2014.pdf
16. US Department of Veterans Affairs, National Surgery Office. Quarterly report: Q3 of fiscal year 2017. VISN operative complexity summary [Source not verified].
aNew Mexico Veterans Affairs Health Care System, Albuquerque
bUniversity of New Mexico School of Medicine, Albuquerque
cHarbor-UCLA Medical Center, Torrance, California
dOregon Health and Science University, Portland
Author contributions
Study conception and design: Vigil, Taylor; acquisition of data: Vigil, Taylor, Geuss, Mercer; analysis and interpretation of data: Vigil, Taylor, Osofsky, Qualls; drafting of manuscript: Vigil, Taylor; critical revision: Glew.
Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.
Ethics and consent
The New Mexico Veterans Affairs Health Care System Institutional Review Board approved this study (No. 15-H184).
aNew Mexico Veterans Affairs Health Care System, Albuquerque
bUniversity of New Mexico School of Medicine, Albuquerque
cHarbor-UCLA Medical Center, Torrance, California
dOregon Health and Science University, Portland
Author contributions
Study conception and design: Vigil, Taylor; acquisition of data: Vigil, Taylor, Geuss, Mercer; analysis and interpretation of data: Vigil, Taylor, Osofsky, Qualls; drafting of manuscript: Vigil, Taylor; critical revision: Glew.
Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.
Ethics and consent
The New Mexico Veterans Affairs Health Care System Institutional Review Board approved this study (No. 15-H184).
Author and Disclosure Information
Anthony Vigil, MDa,b; Taylor Parnall, MDc; Clifford Qualls, PhDa,b; Robert Glew, PhDb; Robin Osofsky, MDd; Micah Guess, RNa; Lauren Mercer, MDb
aNew Mexico Veterans Affairs Health Care System, Albuquerque
bUniversity of New Mexico School of Medicine, Albuquerque
cHarbor-UCLA Medical Center, Torrance, California
dOregon Health and Science University, Portland
Author contributions
Study conception and design: Vigil, Taylor; acquisition of data: Vigil, Taylor, Geuss, Mercer; analysis and interpretation of data: Vigil, Taylor, Osofsky, Qualls; drafting of manuscript: Vigil, Taylor; critical revision: Glew.
Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.
Ethics and consent
The New Mexico Veterans Affairs Health Care System Institutional Review Board approved this study (No. 15-H184).
It is common practice to routinely measure postoperative hematocrit levels at US Department of Veterans Affairs (VA) hospitals for a wide range of elective general surgeries. While hematocrit measurement is a low-cost test, the high frequency with which these tests are performed may drastically increase overall costs.
Numerous studies have suggested that physicians overuse laboratory testing.1-10 Kohli and colleagues recommended that the routine practice of obtaining postoperative hematocrit tests following elective gynecologic surgery be abandoned.1 A similar recommendation was made by Olus and colleagues after studying uneventful, unplanned cesarean sections and by Wu and colleagues after investigating routine laboratory tests post total hip arthroplasty.2,3
To our knowledge, a study assessing routine postoperative hematocrit testing in elective general surgery has not yet been conducted. Many laboratory tests ordered in the perioperative period are not indicated, including complete blood count (CBC), electrolytes, and coagulation studies.4 Based on the results of these studies, we expected that the routine measurement of postoperative hematocrit levels after elective general surgeries at VA medical centers would not be cost effective. A PubMed search for articles published from 1990 to 2023 using the search terms “hematocrit,” “hemoglobin,” “general,” “surgery,” “routine,” and “cost” or “cost-effectiveness,” suggests that the clinical usefulness of postoperative hematocrit testing has not been well studied in the general surgery setting. The purpose of this study was to determine the clinical utility and associated cost of measuring routine postoperative hematocrit levels in order to generate a guide as to when the practice is warranted following common elective general surgery.
Although gynecologic textbooks may describe recommendations of routine hematocrit checking after elective gynecologic operations, one has difficulty finding the same recommendations in general surgery textbooks.1 However, it is common practice for surgical residents and attending surgeons to routinely order hematocrit on postoperative day-1 to ensure that the operation did not result in unsuspected anemia that then would need treatment (either with fluids or a blood transfusion). Many other surgeons rely on clinical factors such as tachycardia, oliguria, or hypotension to trigger a hematocrit (and other laboratory) tests. Our hypothesis is that the latter group has chosen the most cost-effective and prudent practice. One problem with checking the hematocrit routinely, as with any other screening test, is what to do with an abnormal result, assuming an asymptomatic patient? If the postoperative hematocrit is lower than expected given the estimated blood loss (EBL), what is one to do?
Methods
This retrospective case-control study conducted at the New Mexico VA Health Care System (NMVAHCS) in Albuquerque compared data for patients who received transfusion within 72 hours of elective surgeries vs patients who did not. Patients who underwent elective general surgery from January 2011 through December 2014 were included. An elective general surgery was defined as surgery performed following an outpatient preoperative anesthesia evaluation ≥ 30 days prior to operation. Patients who underwent emergency operations, and those with baseline anemia (preoperative hematocrit < 30%), and those transfused > 72 hours after their operation were excluded. The NMVAHCSInstitutional Review Board approved this study (No. 15-H184).
A detailed record review was conducted to collect data on demographics and other preoperative risk factors, including age, sex, body mass index (BMI), race and ethnicity, cardiac and pulmonary comorbidities, tobacco use, alcohol intake, diabetes, American Society of Anesthesiologists Physical Status Classification, metabolic equivalent of task, hematologic conditions, and renal disease.
For each procedure, we recorded the type of elective general surgery performed, the diagnosis/indication, pre- and postoperative hemoglobin/hematocrit, intraoperative EBL, length of operation, surgical wound class, length of hospital stay (LOS), intensive care unit (ICU) status, number of hematocrit tests, cardiovascular risk of operation (defined by anesthesia assessment), presence or absence of malignancy, preoperative platelet count, albumin level, preoperative prothrombin time/activated partial thromboplastin time (aPTT), international normalized ratio (INR), hemoglobin A1c, and incidence of transfusion. Signs and symptoms of anemia were recorded as present if the postoperative vital signs suggested low intravascular volume (pulse > 120 beats/minute, systolic blood pressure < 90 mm Hg, or vasoactive medication requirement [per anesthesia postoperative note]) or if the patient reported or exhibited symptoms of dizziness or fatigue or evidence of clinically apparent bleeding (ie, hematoma formation). Laboratory charges for hematocrit tests and CBC at the NMAVAHCS were used to assess cost.11
To stratify the transfusion risk, patients were distributed among 3 groups based on the following criteria: discharged home the same day as surgery; admitted but did not have postoperative hematocrit testing; and admitted and had postoperative hematocrit testing. We also stratified operations into low or high risk based on the risk for postoperative transfusion (Figure). Recognizing that the American College of Chest Physicians guidelines for perioperative management of antithrombotic therapy places bowel resection in a high-risk category, we designated a surgery as high risk when ≥ 2 patients in the transfusion group had that type of surgery over the 4 years of the study.12 Otherwise, the operations were deemed low risk.
Statistical Analysis
Numeric analysis used t tests and Binary and categorical variables used Fisher exact tests. P value ≤ .05 was considered statistically significant. SAS software was used for all statistical analyses.
Results
From 2011 through 2014, 1531 patients had elective general surgery at NMVAHCS. Twenty-two patients with preoperative anemia (hematocrit < 30%) and 1 patient who received a transfusion > 72 hours after the operation were excluded. Most elective operations (70%, n = 1075) were performed on an outpatient basis; none involved transfusion. Inguinal hernia repair was most common with 479 operations; 17 patients were treated inpatient of which 2 patients had routine postoperative hematocrit checks; (neither received transfusion). One patient with inguinal hernia surgery received transfusion without routine postoperative hematocrit monitoring.
Of 112 partial colon resections, 1 patient had a postoperative transfusion; and all but 3 received postoperative hematocrit monitoring. Nineteen patients undergoing partial colon resection had a clinical indication for postoperative hematocrit monitoring. None of the 5 patients with partial gastrectomy received a postoperative transfusion. Of 121 elective cholecystectomies, no patients had postoperative transfusion, whereas 34 had postoperative hematocrit monitoring; only 2 patients had a clinical reason for the hematocrit monitoring.
Of 430 elective inpatient operations, 12 received transfusions and 288 patients had ≥ 1 postoperative hematocrit test (67%). All hematocrit tests were requested by the attending surgeon, resident surgeon, or the surgical ICU team. Of the group that had postoperative hematocrit monitoring, there was an average of 4.4 postoperative hematocrit tests per patient (range, 1-44).
There were 12 transfusions for inpatients (2.8%), which is similar to the findings of a recent study of VA general surgery (2.3%).13 Five of the 12 patients received intraoperative transfusions while 7 were transfused within 72 hours postoperation. All but 1 patient receiving transfusion had EBL > 199 mL (range, 5-3000; mean, 950 mL; median, 500 mL) and/or signs or symptoms of anemia or other indications for measurement of the postoperative hematocrit. There were no statistically significant differences in patients’ age, sex, BMI, or race and ethnicity between groups receiving and not receiving transfusion (Table 1).
When comparing the transfusion vs the nontransfusion groups (after excluding those with clinical preoperative anemia) the risk factors for transfusion included: relatively low mean preoperative hematocrit (mean, 36.9% vs 42.7%, respectively; P= .003), low postoperative hematocrit (mean, 30.2% vs 37.1%, respectively; P< .001), high EBL (mean, 844 mL vs 109 mL, respectively; P = .005), large infusion of intraoperative fluids (mean, 4625 mL vs 2505 mL, respectively; P = .005), longer duration of operation (mean, 397 min vs 183 min, respectively; P < .001), and longer LOS (mean, 14.5 d vs 4.9 d, respectively; P < .001) (Table 2). Similarly, we found an increased risk for transfusion with high/intermediate cardiovascular risk (vs low), any wound not classified as clean, ICU stay, and postoperative symptoms of anemia.
We found no increased risk for transfusion with ethanol, tobacco, warfarin, or clopidogrel use; polycythemia; thrombocytopenia; preoperative INR; preoperative aPTT; preoperative albumin; Hemoglobin A1c; or diabetes mellitus; or for operations performed for malignancy. Ten patients in the ICU received transfusion (5.8%) compared with 2 patients (0.8%) not admitted to the ICU.
Operations were deemed high risk when ≥ 2 of patients having that operation received transfusions within 72 hours of their operation. There were 15 abdominoperineal resections; 3 of these received transfusions (20%). There were 7 total abdominal colectomies; 3 of these received transfusions (43%). We therefore had 22 high-risk operations, 6 of which were transfused (27%).
Discussion
Routine measurement of postoperative hematocrit levels after elective general surgery at NMVAHCS was not necessary. There were 12 transfusions for inpatients (2.8%), which is similar to the findings of a recent study of VA general surgery (2.3%).13 We found that routine postoperative hematocrit measurements to assess anemia had little or no effect on clinical decision-making or clinical outcomes.
According to our results, 88% of initial hematocrit tests after elective partial colectomies could have been eliminated; only 32 of 146 patients demonstrated a clinical reason for postoperative hematocrit testing. Similarly, 36 of 40 postcholecystectomy hematocrit tests (90%) could have been eliminated had the surgeons relied on clinical signs indicating possible postoperative anemia (none were transfused). Excluding patients with major intraoperative blood loss (> 300 mL), only 29 of 288 (10%) patients who had postoperative hematocrit tests had a clinical indication for a postoperative hematocrit test (ie, symptoms of anemia and/or active bleeding). One patient with inguinal hernia surgery who received transfusion was taking an anticoagulant and had a clinically indicated hematocrit test for a large hematoma that eventually required reoperation.
Our study found that routine hematocrit checks may actually increase the risk that a patient would receive an unnecessary transfusion. For instance, one elderly patient, after a right colectomy, had 6 hematocrit levels while on a heparin drip and received transfusion despite being asymptomatic. His lowest hematocrit level prior to transfusion was 23.7%. This patient had a total of 18 hematocrit tests. His EBL was 350 mL and his first postoperative HCT level was 33.1%. In another instance, a patient undergoing abdominoperineal resection had a transfusion on postoperative day 1, despite being hypertensive, with a hematocrit that ranged from 26% before transfusion to 31% after the transfusion. These 2 cases illustrate what has been shown in a recent study: A substantial number of patients with colorectal cancer receive unnecessary transfusions.14 On the other hand, one ileostomy closure patient had 33 hematocrit tests, yet his initial postoperative hematocrit was 37%, and he never received a transfusion. With low-risk surgeries, clinical judgment should dictate when a postoperative hematocrit level is needed. This strategy would have eliminated 206 unnecessary initial postoperative hematocrit tests (72%), could have decreased the number of unnecessary transfusions, and would have saved NMVAHCS about $1600 annually.
Abdominoperineal resections and total abdominal colectomies accounted for a high proportion of transfusions in our study. Inpatient elective operations can be risk stratified and have routine hematocrit tests ordered for patients at high risk. The probability of transfusion was greater in high-risk vs low-risk surgeries; 27% (6 of 22 patients) vs 2% (6 of 408 patients), respectively (P < .001). Since 14 of the 22 patients undergoing high-risk operation already had clinical reasons for a postoperative hematocrit test, we only need to add the remaining 8 patients with high-risk operations to the 74 who had a clinical reason for a hematocrit test and conclude that 82 of 430 patients (19%) had a clinical reason for a hematocrit test, either from signs or symptoms of blood loss or because they were in a high-risk group.
While our elective general surgery cases may not represent many general surgery programs in the US and VA health care systems, we can extrapolate cost savings using the same cost analyses outlined by Kohli and colleagues.1 Assuming 1.9 million elective inpatient general surgeries per year in the United States with an average cost of $21 per CBC, the annual cost of universal postoperative hematocrit testing would be $40 million.11,15 If postoperative hematocrit testing were 70% consistent with our findings, the annual cost for hematocrit tests on 51% of the inpatient general surgeries would be approximately $20.4 million. A reduction in routine hematocrit testing to 25% of all inpatient general surgeries (vs our finding that 19% were deemed necessary) results in an annual savings of $30 million. This conservative estimate could be even higher since there were 4.4 hematocrit tests per patient; therefore, we have about $132 million in savings.
Assuming 181,384 elective VA inpatient general surgeries each year, costing $7.14 per CBC (the NMVAHCS cost), the VA could save $1.3 million annually. If postoperative HCT testing were 70% consistent with our findings, the annual cost for hematocrit tests on 50.4% of inpatient general surgery operations would be about $653,000. A reduction in routine hematocrit testing to 25% of all inpatient general surgeries (vs our 19%) results in annual VA savings of $330,000. This conservative estimate could be even higher since there were on average 4.4 hematocrit levels per patient; therefore, we estimate that annual savings for the VA of about $1.45 million.
Limitations
The retrospective chart review nature of this study may have led to selection bias. Only a small number of patients received a transfusion, which may have skewed the data. This study population comes from a single VA medical center; this patient population may not be reflective of other VA medical centers or the US population as a whole. Given that NMVAHCS does not perform hepatic, esophageal, pancreas, or transplant operations, the potential savings to both the US and the VA may be overestimated, but this could be studied in the future by VA medical centers that perform more complex operations.
Conclusions
This study found that over a 4-year period routine postoperative hematocrit tests for patients undergoing elective general surgery at a VA medical center were not necessary. General surgeons routinely order various pre- and postoperative laboratory tests despite their limited utility. Reduction in unneeded routine tests could result in notable savings to the VA without compromising quality of care.
Only general surgery patients undergoing operations that carry a high risk for needing a blood transfusion should have a routine postoperative hematocrit testing. In our study population, the chance of an elective colectomy, cholecystectomy, or hernia patient needing a transfusion was rare. This strategy could eliminate a considerable number of unnecessary blood tests and would potentially yield significant savings.
It is common practice to routinely measure postoperative hematocrit levels at US Department of Veterans Affairs (VA) hospitals for a wide range of elective general surgeries. While hematocrit measurement is a low-cost test, the high frequency with which these tests are performed may drastically increase overall costs.
Numerous studies have suggested that physicians overuse laboratory testing.1-10 Kohli and colleagues recommended that the routine practice of obtaining postoperative hematocrit tests following elective gynecologic surgery be abandoned.1 A similar recommendation was made by Olus and colleagues after studying uneventful, unplanned cesarean sections and by Wu and colleagues after investigating routine laboratory tests post total hip arthroplasty.2,3
To our knowledge, a study assessing routine postoperative hematocrit testing in elective general surgery has not yet been conducted. Many laboratory tests ordered in the perioperative period are not indicated, including complete blood count (CBC), electrolytes, and coagulation studies.4 Based on the results of these studies, we expected that the routine measurement of postoperative hematocrit levels after elective general surgeries at VA medical centers would not be cost effective. A PubMed search for articles published from 1990 to 2023 using the search terms “hematocrit,” “hemoglobin,” “general,” “surgery,” “routine,” and “cost” or “cost-effectiveness,” suggests that the clinical usefulness of postoperative hematocrit testing has not been well studied in the general surgery setting. The purpose of this study was to determine the clinical utility and associated cost of measuring routine postoperative hematocrit levels in order to generate a guide as to when the practice is warranted following common elective general surgery.
Although gynecologic textbooks may describe recommendations of routine hematocrit checking after elective gynecologic operations, one has difficulty finding the same recommendations in general surgery textbooks.1 However, it is common practice for surgical residents and attending surgeons to routinely order hematocrit on postoperative day-1 to ensure that the operation did not result in unsuspected anemia that then would need treatment (either with fluids or a blood transfusion). Many other surgeons rely on clinical factors such as tachycardia, oliguria, or hypotension to trigger a hematocrit (and other laboratory) tests. Our hypothesis is that the latter group has chosen the most cost-effective and prudent practice. One problem with checking the hematocrit routinely, as with any other screening test, is what to do with an abnormal result, assuming an asymptomatic patient? If the postoperative hematocrit is lower than expected given the estimated blood loss (EBL), what is one to do?
Methods
This retrospective case-control study conducted at the New Mexico VA Health Care System (NMVAHCS) in Albuquerque compared data for patients who received transfusion within 72 hours of elective surgeries vs patients who did not. Patients who underwent elective general surgery from January 2011 through December 2014 were included. An elective general surgery was defined as surgery performed following an outpatient preoperative anesthesia evaluation ≥ 30 days prior to operation. Patients who underwent emergency operations, and those with baseline anemia (preoperative hematocrit < 30%), and those transfused > 72 hours after their operation were excluded. The NMVAHCSInstitutional Review Board approved this study (No. 15-H184).
A detailed record review was conducted to collect data on demographics and other preoperative risk factors, including age, sex, body mass index (BMI), race and ethnicity, cardiac and pulmonary comorbidities, tobacco use, alcohol intake, diabetes, American Society of Anesthesiologists Physical Status Classification, metabolic equivalent of task, hematologic conditions, and renal disease.
For each procedure, we recorded the type of elective general surgery performed, the diagnosis/indication, pre- and postoperative hemoglobin/hematocrit, intraoperative EBL, length of operation, surgical wound class, length of hospital stay (LOS), intensive care unit (ICU) status, number of hematocrit tests, cardiovascular risk of operation (defined by anesthesia assessment), presence or absence of malignancy, preoperative platelet count, albumin level, preoperative prothrombin time/activated partial thromboplastin time (aPTT), international normalized ratio (INR), hemoglobin A1c, and incidence of transfusion. Signs and symptoms of anemia were recorded as present if the postoperative vital signs suggested low intravascular volume (pulse > 120 beats/minute, systolic blood pressure < 90 mm Hg, or vasoactive medication requirement [per anesthesia postoperative note]) or if the patient reported or exhibited symptoms of dizziness or fatigue or evidence of clinically apparent bleeding (ie, hematoma formation). Laboratory charges for hematocrit tests and CBC at the NMAVAHCS were used to assess cost.11
To stratify the transfusion risk, patients were distributed among 3 groups based on the following criteria: discharged home the same day as surgery; admitted but did not have postoperative hematocrit testing; and admitted and had postoperative hematocrit testing. We also stratified operations into low or high risk based on the risk for postoperative transfusion (Figure). Recognizing that the American College of Chest Physicians guidelines for perioperative management of antithrombotic therapy places bowel resection in a high-risk category, we designated a surgery as high risk when ≥ 2 patients in the transfusion group had that type of surgery over the 4 years of the study.12 Otherwise, the operations were deemed low risk.
Statistical Analysis
Numeric analysis used t tests and Binary and categorical variables used Fisher exact tests. P value ≤ .05 was considered statistically significant. SAS software was used for all statistical analyses.
Results
From 2011 through 2014, 1531 patients had elective general surgery at NMVAHCS. Twenty-two patients with preoperative anemia (hematocrit < 30%) and 1 patient who received a transfusion > 72 hours after the operation were excluded. Most elective operations (70%, n = 1075) were performed on an outpatient basis; none involved transfusion. Inguinal hernia repair was most common with 479 operations; 17 patients were treated inpatient of which 2 patients had routine postoperative hematocrit checks; (neither received transfusion). One patient with inguinal hernia surgery received transfusion without routine postoperative hematocrit monitoring.
Of 112 partial colon resections, 1 patient had a postoperative transfusion; and all but 3 received postoperative hematocrit monitoring. Nineteen patients undergoing partial colon resection had a clinical indication for postoperative hematocrit monitoring. None of the 5 patients with partial gastrectomy received a postoperative transfusion. Of 121 elective cholecystectomies, no patients had postoperative transfusion, whereas 34 had postoperative hematocrit monitoring; only 2 patients had a clinical reason for the hematocrit monitoring.
Of 430 elective inpatient operations, 12 received transfusions and 288 patients had ≥ 1 postoperative hematocrit test (67%). All hematocrit tests were requested by the attending surgeon, resident surgeon, or the surgical ICU team. Of the group that had postoperative hematocrit monitoring, there was an average of 4.4 postoperative hematocrit tests per patient (range, 1-44).
There were 12 transfusions for inpatients (2.8%), which is similar to the findings of a recent study of VA general surgery (2.3%).13 Five of the 12 patients received intraoperative transfusions while 7 were transfused within 72 hours postoperation. All but 1 patient receiving transfusion had EBL > 199 mL (range, 5-3000; mean, 950 mL; median, 500 mL) and/or signs or symptoms of anemia or other indications for measurement of the postoperative hematocrit. There were no statistically significant differences in patients’ age, sex, BMI, or race and ethnicity between groups receiving and not receiving transfusion (Table 1).
When comparing the transfusion vs the nontransfusion groups (after excluding those with clinical preoperative anemia) the risk factors for transfusion included: relatively low mean preoperative hematocrit (mean, 36.9% vs 42.7%, respectively; P= .003), low postoperative hematocrit (mean, 30.2% vs 37.1%, respectively; P< .001), high EBL (mean, 844 mL vs 109 mL, respectively; P = .005), large infusion of intraoperative fluids (mean, 4625 mL vs 2505 mL, respectively; P = .005), longer duration of operation (mean, 397 min vs 183 min, respectively; P < .001), and longer LOS (mean, 14.5 d vs 4.9 d, respectively; P < .001) (Table 2). Similarly, we found an increased risk for transfusion with high/intermediate cardiovascular risk (vs low), any wound not classified as clean, ICU stay, and postoperative symptoms of anemia.
We found no increased risk for transfusion with ethanol, tobacco, warfarin, or clopidogrel use; polycythemia; thrombocytopenia; preoperative INR; preoperative aPTT; preoperative albumin; Hemoglobin A1c; or diabetes mellitus; or for operations performed for malignancy. Ten patients in the ICU received transfusion (5.8%) compared with 2 patients (0.8%) not admitted to the ICU.
Operations were deemed high risk when ≥ 2 of patients having that operation received transfusions within 72 hours of their operation. There were 15 abdominoperineal resections; 3 of these received transfusions (20%). There were 7 total abdominal colectomies; 3 of these received transfusions (43%). We therefore had 22 high-risk operations, 6 of which were transfused (27%).
Discussion
Routine measurement of postoperative hematocrit levels after elective general surgery at NMVAHCS was not necessary. There were 12 transfusions for inpatients (2.8%), which is similar to the findings of a recent study of VA general surgery (2.3%).13 We found that routine postoperative hematocrit measurements to assess anemia had little or no effect on clinical decision-making or clinical outcomes.
According to our results, 88% of initial hematocrit tests after elective partial colectomies could have been eliminated; only 32 of 146 patients demonstrated a clinical reason for postoperative hematocrit testing. Similarly, 36 of 40 postcholecystectomy hematocrit tests (90%) could have been eliminated had the surgeons relied on clinical signs indicating possible postoperative anemia (none were transfused). Excluding patients with major intraoperative blood loss (> 300 mL), only 29 of 288 (10%) patients who had postoperative hematocrit tests had a clinical indication for a postoperative hematocrit test (ie, symptoms of anemia and/or active bleeding). One patient with inguinal hernia surgery who received transfusion was taking an anticoagulant and had a clinically indicated hematocrit test for a large hematoma that eventually required reoperation.
Our study found that routine hematocrit checks may actually increase the risk that a patient would receive an unnecessary transfusion. For instance, one elderly patient, after a right colectomy, had 6 hematocrit levels while on a heparin drip and received transfusion despite being asymptomatic. His lowest hematocrit level prior to transfusion was 23.7%. This patient had a total of 18 hematocrit tests. His EBL was 350 mL and his first postoperative HCT level was 33.1%. In another instance, a patient undergoing abdominoperineal resection had a transfusion on postoperative day 1, despite being hypertensive, with a hematocrit that ranged from 26% before transfusion to 31% after the transfusion. These 2 cases illustrate what has been shown in a recent study: A substantial number of patients with colorectal cancer receive unnecessary transfusions.14 On the other hand, one ileostomy closure patient had 33 hematocrit tests, yet his initial postoperative hematocrit was 37%, and he never received a transfusion. With low-risk surgeries, clinical judgment should dictate when a postoperative hematocrit level is needed. This strategy would have eliminated 206 unnecessary initial postoperative hematocrit tests (72%), could have decreased the number of unnecessary transfusions, and would have saved NMVAHCS about $1600 annually.
Abdominoperineal resections and total abdominal colectomies accounted for a high proportion of transfusions in our study. Inpatient elective operations can be risk stratified and have routine hematocrit tests ordered for patients at high risk. The probability of transfusion was greater in high-risk vs low-risk surgeries; 27% (6 of 22 patients) vs 2% (6 of 408 patients), respectively (P < .001). Since 14 of the 22 patients undergoing high-risk operation already had clinical reasons for a postoperative hematocrit test, we only need to add the remaining 8 patients with high-risk operations to the 74 who had a clinical reason for a hematocrit test and conclude that 82 of 430 patients (19%) had a clinical reason for a hematocrit test, either from signs or symptoms of blood loss or because they were in a high-risk group.
While our elective general surgery cases may not represent many general surgery programs in the US and VA health care systems, we can extrapolate cost savings using the same cost analyses outlined by Kohli and colleagues.1 Assuming 1.9 million elective inpatient general surgeries per year in the United States with an average cost of $21 per CBC, the annual cost of universal postoperative hematocrit testing would be $40 million.11,15 If postoperative hematocrit testing were 70% consistent with our findings, the annual cost for hematocrit tests on 51% of the inpatient general surgeries would be approximately $20.4 million. A reduction in routine hematocrit testing to 25% of all inpatient general surgeries (vs our finding that 19% were deemed necessary) results in an annual savings of $30 million. This conservative estimate could be even higher since there were 4.4 hematocrit tests per patient; therefore, we have about $132 million in savings.
Assuming 181,384 elective VA inpatient general surgeries each year, costing $7.14 per CBC (the NMVAHCS cost), the VA could save $1.3 million annually. If postoperative HCT testing were 70% consistent with our findings, the annual cost for hematocrit tests on 50.4% of inpatient general surgery operations would be about $653,000. A reduction in routine hematocrit testing to 25% of all inpatient general surgeries (vs our 19%) results in annual VA savings of $330,000. This conservative estimate could be even higher since there were on average 4.4 hematocrit levels per patient; therefore, we estimate that annual savings for the VA of about $1.45 million.
Limitations
The retrospective chart review nature of this study may have led to selection bias. Only a small number of patients received a transfusion, which may have skewed the data. This study population comes from a single VA medical center; this patient population may not be reflective of other VA medical centers or the US population as a whole. Given that NMVAHCS does not perform hepatic, esophageal, pancreas, or transplant operations, the potential savings to both the US and the VA may be overestimated, but this could be studied in the future by VA medical centers that perform more complex operations.
Conclusions
This study found that over a 4-year period routine postoperative hematocrit tests for patients undergoing elective general surgery at a VA medical center were not necessary. General surgeons routinely order various pre- and postoperative laboratory tests despite their limited utility. Reduction in unneeded routine tests could result in notable savings to the VA without compromising quality of care.
Only general surgery patients undergoing operations that carry a high risk for needing a blood transfusion should have a routine postoperative hematocrit testing. In our study population, the chance of an elective colectomy, cholecystectomy, or hernia patient needing a transfusion was rare. This strategy could eliminate a considerable number of unnecessary blood tests and would potentially yield significant savings.
2. Olus A, Orhan, U, Murat A, et al. Do asymptomatic patients require routine hemoglobin testing following uneventful, unplanned cesarean sections? Arch Gynecol Obstet. 2010;281(2):195-199. doi:10.1007/s00404-009-1093-1
3. Wu XD, Zhu ZL, Xiao P, Liu JC, Wang JW, Huang W. Are routine postoperative laboratory tests necessary after primary total hip arthroplasty? J Arthroplasty. 2020;35(10):2892-2898. doi:10.1016/j.arth.2020.04.097
4. Kumar A, Srivastava U. Role of routine laboratory investigations in preoperative evaluation. J Anesthesiol Clin Pharmacol. 2011;27(2):174-179. doi:10.4103/0970-9185.81824
5. Aghajanian A, Grimes DA. Routine prothrombin time determination before elective gynecologic operations. Obstet Gynecol. 1991;78(5 Pt 1):837-839.
6. Ransom SB, McNeeley SG, Malone JM Jr. A cost-effectiveness evaluation of preoperative type-and-screen testing for vaginal hysterectomy. Am J Obstet Gynecol. 1996;175(5):1201-1203. doi:10.1016/s0002-9378(96)70028-5
7. Ransom SB, McNeeley SG, Hosseini RB. Cost-effectiveness of routine blood type and screen testing before elective laparoscopy. Obstet Gynecol. 1995;86(3):346-348. doi:10.1016/0029-7844(95)00187-V
8. Committee on Standards and Practice Parameters, Apfelbaum JL, Connis RT, et al. Practice advisory for preanesthesia evaluation: an updated report by the American Society of Anesthesiologists Task Force on Preanesthesia Evaluation. Anesthesiology. 2012;116(3):522-538. doi:10.1097/ALN.0b013e31823c1067
9. Weil IA, Seicean S, Neuhauser D, Schiltz NK, Seicean A. Use and utility of hemostatic screening in adults undergoing elective, non-cardiac surgery. PLoS One. 2015;10(12):e0139139. doi:10.1371/journal.pone.0139139
10. Wu WC, Schifftner TL, Henderson WG, et al. Preoperative hematocrit levels and postoperative outcomes in older patients undergoing non-cardiac surgery. JAMA. 2007;297(22):2481-2488. doi:10.1001/jama.297.22.2481
12. Douketis JD, Spyropoulos AC, Murad MH, et al. Perioperative management of antithrombotic therapy: an American College of Chest Physicians Clinical Practice Guideline. Chest. 2022;162(5):e207-e243. doi:10.1016/j.chest.2022.07.025
13. Randall JA, Wagner KT, Brody F. Perioperative transfusions in veterans following noncardiac procedures. J Laparoendosc Adv Surg Tech A. 2023;33(10):923-931. doi:10.1089/lap. 2023.0307
14. Tartter PI, Barron DM. Unnecessary blood transfusions in elective colorectal cancer surgery. Transfusion. 1985;25(2):113-115. doi:10.1046/j.1537-2995.1985.25285169199.x
15. Steiner CA, Karaca Z, Moore BJ, Imshaug MC, Pickens G. Surgeries in hospital-based ambulatory surgery and hospital inpatient settings, 2014. Healthcare Cost and Utilization Project statistical brief #223. May 2017. Revised July 2020. Agency for Healthcare Research and Quality. Accessed February 26, 2024. https://hcup-us.ahrq.gov/reports/statbriefs/sb223-Ambulatory-Inpatient-Surgeries-2014.pdf
16. US Department of Veterans Affairs, National Surgery Office. Quarterly report: Q3 of fiscal year 2017. VISN operative complexity summary [Source not verified].
2. Olus A, Orhan, U, Murat A, et al. Do asymptomatic patients require routine hemoglobin testing following uneventful, unplanned cesarean sections? Arch Gynecol Obstet. 2010;281(2):195-199. doi:10.1007/s00404-009-1093-1
3. Wu XD, Zhu ZL, Xiao P, Liu JC, Wang JW, Huang W. Are routine postoperative laboratory tests necessary after primary total hip arthroplasty? J Arthroplasty. 2020;35(10):2892-2898. doi:10.1016/j.arth.2020.04.097
4. Kumar A, Srivastava U. Role of routine laboratory investigations in preoperative evaluation. J Anesthesiol Clin Pharmacol. 2011;27(2):174-179. doi:10.4103/0970-9185.81824
5. Aghajanian A, Grimes DA. Routine prothrombin time determination before elective gynecologic operations. Obstet Gynecol. 1991;78(5 Pt 1):837-839.
6. Ransom SB, McNeeley SG, Malone JM Jr. A cost-effectiveness evaluation of preoperative type-and-screen testing for vaginal hysterectomy. Am J Obstet Gynecol. 1996;175(5):1201-1203. doi:10.1016/s0002-9378(96)70028-5
7. Ransom SB, McNeeley SG, Hosseini RB. Cost-effectiveness of routine blood type and screen testing before elective laparoscopy. Obstet Gynecol. 1995;86(3):346-348. doi:10.1016/0029-7844(95)00187-V
8. Committee on Standards and Practice Parameters, Apfelbaum JL, Connis RT, et al. Practice advisory for preanesthesia evaluation: an updated report by the American Society of Anesthesiologists Task Force on Preanesthesia Evaluation. Anesthesiology. 2012;116(3):522-538. doi:10.1097/ALN.0b013e31823c1067
9. Weil IA, Seicean S, Neuhauser D, Schiltz NK, Seicean A. Use and utility of hemostatic screening in adults undergoing elective, non-cardiac surgery. PLoS One. 2015;10(12):e0139139. doi:10.1371/journal.pone.0139139
10. Wu WC, Schifftner TL, Henderson WG, et al. Preoperative hematocrit levels and postoperative outcomes in older patients undergoing non-cardiac surgery. JAMA. 2007;297(22):2481-2488. doi:10.1001/jama.297.22.2481
12. Douketis JD, Spyropoulos AC, Murad MH, et al. Perioperative management of antithrombotic therapy: an American College of Chest Physicians Clinical Practice Guideline. Chest. 2022;162(5):e207-e243. doi:10.1016/j.chest.2022.07.025
13. Randall JA, Wagner KT, Brody F. Perioperative transfusions in veterans following noncardiac procedures. J Laparoendosc Adv Surg Tech A. 2023;33(10):923-931. doi:10.1089/lap. 2023.0307
14. Tartter PI, Barron DM. Unnecessary blood transfusions in elective colorectal cancer surgery. Transfusion. 1985;25(2):113-115. doi:10.1046/j.1537-2995.1985.25285169199.x
15. Steiner CA, Karaca Z, Moore BJ, Imshaug MC, Pickens G. Surgeries in hospital-based ambulatory surgery and hospital inpatient settings, 2014. Healthcare Cost and Utilization Project statistical brief #223. May 2017. Revised July 2020. Agency for Healthcare Research and Quality. Accessed February 26, 2024. https://hcup-us.ahrq.gov/reports/statbriefs/sb223-Ambulatory-Inpatient-Surgeries-2014.pdf
16. US Department of Veterans Affairs, National Surgery Office. Quarterly report: Q3 of fiscal year 2017. VISN operative complexity summary [Source not verified].
The US Department of Veterans Affairs (VA) has partnered with academic medical centers and programs since 1946 to provide clinical training for physician residents. Ranking second in federal graduate medical education (GME) funding to the Centers for Medicare and Medicaid Services (CMS), the $850 million VA GME budget annually reimburses > 250 GME-sponsoring institutions (affiliates) of 8000 GME programs for the clinical training of 49,000 individual residents rotating through > 11,000 full-time equivalent (FTE) positions.1 The VA also distributes $1.6 billion to VA facilities to offset the costs of conducting health professions education (HPE) (eg, facility infrastructure, salary support for VA instructors and preceptors, education office administration, and instructional equipment).2 The VA financial and educational contributions account for payment of 11% of resident positions nationally and allow academic medical centers to be less reliant on CMS GME funding.3,4 The VA contributions also provide opportunities for GME expansion,1,5,6 educational innovations,5,7 interprofessional and team-based care,8,9 and quality and safety training.10,11 The Table provides a comparison of CMS and VA GME reimbursability based on activity.
GME financing is complex, particularly the formulaic approach used by CMS, the details of which are often obscured in federal regulations. Due to this complexity and the $16 billion CMS GME budget, academic publications have focused on CMS GME financing while not fully explaining the VA GME policies and processes.4,12-14 By comparison, the VA GME financing model is relatively straightforward and governed by different statues and VA regulations, yet sharing some of the same principles as CMS regulations. Given the challenges in CMS reimbursement to fully support the cost of resident education, as well as the educational opportunities at the VA, the VA designs its reimbursement model to assure that affiliates receive appropriate payments.4,12,15 To ensure the continued success of VA GME partnerships, knowledge of VA GME financing has become increasingly important for designated institutional officers (DIOs) and residency program directors, particularly in light of recent investigations into oversight of the VA’s reimbursement to academic affiliates.16-18 This report describes VA GME reimbursement and, where applicable, VA and CMS reimbursement policies are compared to highlight similarities, differences, and common principles.
VA AUTHORITY
While the VA’s primary mission is “to provide a complete hospital medical service for the medical care and treatment of veterans,”early VA leaders recognized the importance of affiliating with the nation’s academic institutions.19 In 1946, the VA Policy Memorandum Number 2 established a partnership between the VA and the academic medical community.20 Additional legislation authorized specific agreements with academic affiliates for the central administration of salary and benefits for residents rotating at VA facilities. This process, known as disbursement, is an alternative payroll mechanism whereby the VA reimburses the academic affiliate for resident salary and benefits and the affiliate acts as the disbursing agent, issuing paychecks to residents.21,22
Resident FUNDING
By policy, with rare exceptions, the VA does not sponsor residency programs due to the challenges of providing an appropriate patient mix of age, sex, and medical conditions to meet accreditation standards.4 Nearly all VA reimbursements are for residents in affiliate-sponsored programs, while just 1% pays for residents in legacy, VA-sponsored residency programs at 2 VA facilities. The VA budget for resident (including fellows) salary and benefits is managed by the VA Office of Academic Affiliations (OAA), the national VA office responsible for oversight, policy, and funding of VA HPE programs.
Resident Salaries and Benefits
VA funding of resident salary and benefits are analogous with CMS direct GME (DGME), which is designed to cover resident salary and benefits costs.4,14,23 CMS DGME payments depend on a hospital’s volume of CMS inpatients and are based on a statutory formula, which uses the hospital’s resident FTE positions, the per-resident amount, and Medicare’s share of inpatient beds (Medicare patient load) to determine payments.12 The per-resident amount is set by statute, varies geographically, and is calculated by dividing the hospital’s allowable costs of GME (percentage of CMS inpatient days) divided by the number of residents.12,24
By comparison, the VA GME payment reimburses for each FTE based on the salary and benefits rate set by the academic affiliate. Reimbursement is calculated based on resident time spent at the VA multiplied by a daily salary rate. The daily salary rate is determined by dividing the resident’s total compensation (salary and benefits) by the number of calendar days in an academic year. Resident time spent at the VA facility is determined by obtaining rotation schedules provided by the academic affiliate and verifying resident clinical and educational activity during scheduled rotations.
Indirect Medical Education Funding
In addition to resident salary and benefits, funds to offset the cost of conducting HPE are provided to VA facilities. These funds are intended to improve and maintain necessary infrastructure for all HPE programs not just GME, including education office administration needs, teaching costs (ie, a portion of VA preceptors salary), and instructional equipment.
The Veterans Equitable Resource Allocation (VERA) is a national budgeting process for VA medical facilities that funds facility operational needs such as staff salary and benefits, infrastructure, and equipment.2 The education portion of the VERA, the VERA Education Support Component (VESC), is not managed by the OAA, but rather is distributed through the VERA model to the general budget of VA facilities hosting HPE (Figure). VESC funding in the VA budget is based on labor mapping of physician time spent in education; other labor mapping categories include clinical care, research, and administration. VA facility VESC funding is calculated based on the number of paid health profession trainees (HPTs) from all professions, apportioned according to the number of FTEs for physician residents and VA-paid HPTs in other disciplines. In fiscal year 2024, VA facilities received $115,812 for each physician resident FTE position and $84,906 for each VA-paid, non-GME FTE position.
The VESC is like CMS's indirect GME funding, termed Indirect Medical Education (IME), an additional payment for each Medicare patient discharged reflecting teaching hospitals’ higher patient care costs relative to nonteaching hospitals. Described elsewhere, IME is calculated using a resident-to-bed ratio and a multiplier, which is set by statute.4,25 While IME can be used for reimbursement for some resident clinical and educational activities(eg, research), VA VESC funds cannot be used for such activities and are part of the general facility budget and appropriated per the discretion of the medical facility director.
ESTABLISHING GME PARTNERSHIPS
An affiliation agreement establishes the administrative and legal requirements for educational relationships with academic affiliates and includes standards for conducting HPE, responsibilities for accreditation standards, program leadership, faculty, resources, supervision, academic policies, and procedures. The VA uses standardized affiliation agreement templates that have been vetted with accrediting bodies and the VA Office of General Counsel.
A disbursement agreement authorizes the VA to reimburse affiliates for resident salary and benefits for VA clinical and educational activities. The disbursement agreement details the fiscal arrangements (eg, payment in advance vs arrears, salary, and benefit rates, leave) for the reimbursement payments. Veterans Health Administration (VHA) Directive 1400.05 provides the policy and procedures for calculating reimbursement for HPT educational activities.26
The VA facility designated education officer (DEO) oversees all HPE programs and coordinates the affiliation and disbursement agreement processes.27 The DEO, affiliate DIO, residency program director, and VA residency site director determine the physician resident FTE positions assigned to a VA facility based on educational objectives and availability of educational resources at the VA facility, such as patient care opportunities, faculty supervisors, space, and equipment. The VA facility requests for resident FTE positions are submitted to the OAA by the facility DEO.
Once GME FTE positions are approved by the OAA, VA facilities work with their academic affiliate to submit the physician resident salary and benefit rate. Affiliate DIOs attest to the accuracy of the salary rate schedule and the local DEO submits the budget request to the OAA. Upon approval, the funds are transferred to the VA facility each fiscal year, which begins October 1. DEOs report quarterly to the OAA both budget needs and excesses based on variations in the approved FTEs due to additional VA rotations, physician resident attrition, or reassignment.
Resident Position Allocation
VA GME financing provides flexibility through periodic needs assessments and expansion initiatives. In August and December, DEOs collaborate with an academic affiliate to submit reports to the OAA confirming their projected GME needs for the next academic year. Additional positions requests are reviewed by the OAA; funding depends on budget and the educational justification. The OAA periodically issues GME expansion requests for proposal, which typically arise from legislation to address specific VA workforce needs. The VA facility DEO and affiliate GME leaders collaborate to apply for additional positions. For example, a VA GME expansion under the Veterans Access, Choice, and Accountability Act of 2014 added 1500 GME positions in 8 years for critically needed specialties and in rural and underserved areas.5 The Maintaining Internal Systems and Strengthening Outside Networks (MISSION) Act of 2018 authorized a pilot program for VA to fund residents at non-VA facilities with priority for Indian Health Services, Tribes and Tribal Organizations, Federally Qualified Health Centers, and US Department of Defense facilities to provide access to veterans in underserved areas.6
The VA GME financing system has flexibility to meet local needs for additional resident positions and to address broader VA workforce gaps through targeted expansion. Generally, CMS does not fund positions to address workforce needs, place residents in specific geographic areas, or require the training of certain types of residents.4 However, the Consolidated Appropriations Act of 2021 has provided the opportunity to address rural workforce needs.28
Reimbursement
The VA provides reimbursement for clinical and educational activities performed in VA facilities for the benefit of veterans as well as research, didactics, meetings and conferences, annual and sick leave, and orientation. The VA also may provide reimbursement for educational activities that occur off VA grounds (eg, the VA proportional share of a residency program’s didactic sessions). The VA does not reimburse for affiliate clinical duties or administrative costs, although a national policy allows VA facilities to reimburse affiliates for some GME overhead costs.29
CMS similarly reimburses for residency training time spent in patient care activities as well as orientation activities, didactics, leave, and, in some cases, research.4,30,31 CMS makes payments to hospitals, which may include sponsoring institutions and Medicare-eligible participating training sites.4,30,31 For both the VA and CMS, residents may not be counted twice for reimbursement by 2 federal agencies; in other words, a resident may not count for > 1 FTE.4,30-32
GME Oversight
VA GME funding came under significant scrutiny. At a 2016 House Veterans Affairs Committee hearing, Representative Phil Roe, MD (R-Tennessee), noted that no process existed at many VA facilities for “determining trainee presence” and that many VA medical centers had “difficulty tracking resident rotations”16 A VA Office of the Inspector General investigation recommended that the VA implement policies and procedures to improve oversight to “ensure residents are fully participating in educational activities” and that the VA is “paying the correct amount” to the affiliate.17 A 2020 General Accountability Office report outlined unclear policy guidance, incomplete tracking of resident activities, and improper fiscal processes for reimbursement and reconciliation of affiliate invoices.18
In response, the OAA created an oversight and compliance unit, revised VHA Directive 1400.05 (the policy for disbursement), and improved resident tracking procedures.26 The standard operating procedure that accompanied VHA Directive 1400.05 provides detailed information for the DEO and VA facility staff for tracking resident clinical and educational activities. FTE counts are essential to both VA and CMS for accurate reimbursement. The eAppendix and the Table provide a guide to reimbursable activities in the VA for the calculation of reimbursement, with a comparison to CMS.33,34 The OAA in cooperation with other VA staff and officers periodically conducts audits to assess compliance with disbursement policy and affiliate reimbursement accuracy.
In the VA, resident activities are captured on the VA Educational Activity Record, a standardized spreadsheet to track activities and calculate reimbursement. Each VA facility hosting resident physicians manually records resident activity by the half-day. This process is labor intensive, involving both VA and affiliate staff to accurately reconcile payments. To address the workload demands, the OAA is developing an online tool that will automate aspects of the tracking process. Also, to ensure adequate staffing, the OAA is in the process of implementing an office optimization project, providing standardized position descriptions, an organizational chart, and staffing levels for DEO offices in VA facilities.
Conclusions
This report describes the key policies and principles of VA GME financing, highlighting the essential similarities and differences between VA and CMS. Neither the VA nor CMS regulations allow for reimbursement for > 1 FTE position per resident, a principle that underpins the assignment of resident rotations and federal funding for GME and are similar with respect to reimbursement for patient care activities, didactics, research, orientation, and scholarly activity. While reimbursable activities in the VA require physical presence and care of veteran patients, CMS also limits reimbursement to resident activities in the hospital and approved other settings if the hospital is paying for resident salary and benefits in these settings. The VA provides some flexibility for offsite activities including didactics and, in specific circumstances, remote care of veteran patients (eg, teleradiology).
The VA and CMS use different GME financing models. For example, the CMS calculations for resident FTEs are complex, whereas VA calculations reimburse the salary and benefits as set by the academic affiliate. The VA process accounts for local variation in salary rates, whereas the per-resident amount set by CMS varies regionally and does not fully account for differences in the cost of living.24 Because all patients in VA facilities are veterans, VA calculations for reimbursement do not involve ratios of beds like the CMS calculations to determine a proportional share of reimbursement. The VA GME expansion tends to be more directed to VA health workforce needs than CMS, specifying the types of programs and geographic locations to address these needs.
The VA regularly reevaluates how affiliates are reimbursed for VA resident activity, balancing compliance with VA policies and the workload for VA and its affiliates. The VA obtains input from key stakeholders including DEOs, DIOs, and professional organizations such as the Association of American Medical Colleges and the Accreditation Council for Graduate Medical Education.35,36
Looking ahead, the VA is developing an online tool to improve the accuracy of affiliate reimbursement. The VA will also implement a standardized staffing model, organizational structure, and position descriptions for DEO offices. These initiatives will help reduce the burden of tracking and verifying resident activity and continue to support the 77-year partnership between VA and its affiliated institutions.
References
1. Klink KA, Albanese AP, Bope ET, Sanders KM. Veterans Affairs graduate medical education expansion addresses US physician workforce needs. Acad Med. 2022;97(8):1144-1150. doi:10.1097/ACM.0000000000004545
2. Andrus CH, Johnson K, Pierce E, Romito PJ, Hartel P, Berrios‐Guccione S, Best W. Finance modeling in the delivery of medical care in tertiary‐care hospitals in the Department of Veterans Affairs. J Surg Res. 2001;96(2):152-157. doi:10.1006/jsre.1999.5728
3. Petrakis IL, Kozal M. Academic medical centers and the U.S. Department of Veterans Affairs: a 75-year partnership influences medical education, scientific discovery, and clinical care. Acad Med. 2022;97(8):1110-1113. doi:10.1097/ACM.0000000000004734
4. Heisler EJ, Mendez BH, Mitchell A, Panangala SV, Villagrana MA. Federal support for graduate medical education: an overview (R44376). Congressional Research Service report R44376; version 11. Updated December 27, 2018. Accessed March 2, 2024. https://crsreports.congress.gov/product/pdf/R/R44376/11
5. Chang BK, Brannen JL. The Veterans Access, Choice, and Accountability Act of 2014: examining graduate medical education enhancement in the Department of Veterans Affairs. Acad Med. 2015;90(9):1196-1198. doi:10.1097/ACM.0000000000000795
6. Albanese AP, Bope ET, Sanders KM, Bowman M. The VA MISSION Act of 2018: a potential game changer for rural GME expansion and veteran health care. J Rural Health. 2020;36(1):133-136. doi:10.1111/jrh.12360
7. Lypson ML, Roberts LW. Valuing the partnership between the Veterans Health Administration and academic medicine. Acad Med. 2022;97(8):1091-1093. doi:10.1097/ACM.0000000000004748
8. Harada ND, Traylor L, Rugen KW, et al. Interprofessional transformation of clinical education: the first six years of the Veterans Affairs Centers of Excellence in Primary Care Education. J Interprof Care. 2023;37(suppl 1):S86-S94. doi:10.1080/13561820.2018.1433642
9. Harada ND, Rajashekara S, Sansgiry S, et al. Developing interprofessional primary care teams: alumni evaluation of the Department of Veterans Affairs Centers of Excellence in Primary Care Education Program. J Med Educ Curric Dev. 2019;6:2382120519875455. doi:10.1177/2382120519875455
10. Splaine ME, Ogrinc G, Gilman SC, et al. The Department of Veterans Affairs National Quality Scholars Fellowship Program: experience from 10 years of training quality scholars. Acad Med. 2009;84(12):1741-1748. doi:10.1097/ACM.0b013e3181bfdcef
11. Watts BV, Paull DE, Williams LC, Neily J, Hemphill RR, Brannen JL. Department of Veterans Affairs chief resident in quality and patient safety program: a model to spread change. Am J Med Qual. 2016;31(6):598-600. doi:10.1177/1062860616643403
12. He K, Whang E, Kristo G. Graduate medical education funding mechanisms, challenges, and solutions: a narrative review. Am J Surg. 2021;221(1):65-71. doi:10.1016/j.amjsurg.2020.06.007
13. Villagrana M. Medicare graduate medical education payments: an overview. Congressional Research Service report IF10960. Updated September 29, 2022. Accessed March 2, 2024. https://crsreports.congress.gov/product/pdf/IF/IF10960
14. Committee on the Governance and Financing of Graduate Medical Education; Board on Health Care Services; Institute of Medicine. Graduate Medical Education That Meets the Nation’s Health Needs. Eden J, Berwick DM, Wilensky GR, eds. Washington, DC: National Academies Press; 2014. doi:10.17226/18754
15. Physician workforce: caps on Medicare-funded graduate medical education at teaching hospitals. Report to congressional requesters. GAO-21-391. May 21, 2021. Accessed March 1, 2024. https://www.gao.gov/assets/gao-21-391.pdf
16. VA and Academic Affiliates: Who Benefits? Hearing Before the Subcommittee on Oversight and Investigations of the Committee on Veterans’ Affairs, 114th Cong, 2nd Sess (2016). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CHRG-115hhrg29685/html/CHRG-115hhrg29685.htm
17. US Department of Veterans Affairs, Office of Inspector General (OIG). Veterans Health Administration. Review of resident and part-time physician time and attendance at the Oklahoma City VA Health Care System. OIG report 17-00253-93. March 28, 2018. Accessed March 1, 2024. https://www.oversight.gov/sites/default/files/oig-reports/VAOIG-17-00253-93.pdf
18. VA health care: actions needed to improve oversight of graduate medical education reimbursement. Report to the ranking member, Committee on Veterans’ Affairs, House of Representatives. GAO-20-553. July 2020. Accessed March 1, 2024. https://www.gao.gov/assets/710/708275.pdf
19. Functions of Veterans Health Administration: in general, 38 USC §7301 (2022). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/USCODE-2022-title38/pdf/USCODE-2022-title38-partV-chap73-subchapI-sec7301.pdf
20. US Department of Veterans Affairs. Policy memorandum no. 2, policy in association of veterans’ hospitals with medical schools. January 30, 1946.
21. Veterans Health Care Expansion Act of 1973, Public Law 93-82. August 2, 1973. Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/STATUTE-87/pdf/STATUTE-87-Pg179.pdf
22. Residencies and internships, 38 USC § 7406 (2022). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/USCODE-2022-title38/pdf/USCODE-2022-title38-partV-chap74-subchapI-sec7406.pdf
23. Direct graduate medical education (DGME). Centers for Medicaid and Medicare Services. Updated December 5, 2023. Accessed March 1, 2024. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/DGME
24. Drezdzon MK, Cowley NJ, Sweeney DP, et al. Going for broke: the impact of cost of living on surgery resident stipend value. Ann Surg. 2023;278(6):1053-1059. doi:10.1097/SLA.0000000000005923
25. Special treatment: hospitals that incur indirect costs for graduate medical education programs, 42 CFR § 412.105 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec412-105.pdf
26. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1400.05, Disbursement agreements for health professions trainees appointed under 38 U.S.C. § 7406. June 2, 2021. Accessed March 1, 2024. https://www.va.gov/vhapublications/ViewPublication.asp?pub_ID=9293
27. Harada ND, Sanders KM, Bowman MA. Health systems education leadership: learning from the VA designated education officer role. Fed Pract. 2022;39(6):266-273. doi:10.12788/fp.0278
28. Schleiter Hitchell K, Johnson L. CMS finalizes rules for distribution of 1000 new Medicare-funded residency positions and changes to rural training track programs. J Grad Med Educ. 2022;14(2):245-249. doi:10.4300/JGME-D-22-00193.1
29. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1400.10, Educational cost contracts for health professions education. September 25, 2023. Accessed March 1, 2024. https://www.va.gov/VHAPUBLICATIONS/ViewPublication.asp?pub_ID=11480
30. Direct GME payments: general requirements, 42 CFR § 413.75 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec413-75.pdf
31. Direct GME payments: determination of the total number of FTE residents, 42 CFR § 413.78 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec413-78.pdf
32. US Department of Health and Human Services, Centers for Medicare and Medicaid Services. Medicare financial management manual, chapter 8. Contractor procedures for provider audits. Accessed March 1, 2024. https://www.cms.gov/regulations-and-guidance/guidance/manuals/downloads/fin106c08.pdf
33. US Department of Health and Human Services, Office of Inspector General. CMS did not always ensure hospitals complied with Medicare reimbursement requirements for graduate medical education. OIG report A-02-17-01017. November 2018. Accessed March 1, 2024. https://oig.hhs.gov/oas/reports/region2/21701017.pdf
34. US Department of Health and Human Services, Centers for Medicare and Medicaid Services. Interns and Residents Information System (IRIS) XML format. Publication 100-20. Transmittal 11418. Change request 12724. May 19, 2022. Accessed March 1, 2024. https://www.hhs.gov/guidance/sites/default/files/hhs-guidance-documents/R11418OTN.pdf
35. Birnbaum AD, Byrne J, on behalf of the VA Office of Academic Affiliations. VHA Updates: Disbursement Policy and Education Cost Contracts. Presented at: American Association of Medical Colleges Webinar; June 2021. Accessed March 1, 2024. https://vimeo.com/644415670
36. Byrne JM, on behalf of the VA Office of Academic Affiliations. Disbursement procedures update for AY 23-24. Accessed March 1, 2024. https://www.va.gov/oaa/Videos/AffiliatePresentationDisbursementandEARsAY23-24.pptx
John M. Byrne, DOa; Paul B. Greenberg, MDb,c; Karen M. Sanders, MDa,d; Andrea D. Birnbaum, MD, PhDa,e; Erin L. Patel, PsyD, ABPPa; and Ryan M. Scilla, MDa,f
aOffice of Academic Affiliations, Veterans Health Administration, Department of Veterans Affairs, Washington, DC
bVA Providence Health Care System, Rhode Island
cThe Warren Alpert Medical School of Brown University, Providence, Rhode Island
dVirginia Commonwealth University, Richmond
eNorthwestern University Feinberg School of Medicine, Chicago, Illinois
fUniversity of Maryland School of Medicine, Baltimore
Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.
Ethics and consent
This report is a program description and did not involve collection of data from human or animal subjects.
John M. Byrne, DOa; Paul B. Greenberg, MDb,c; Karen M. Sanders, MDa,d; Andrea D. Birnbaum, MD, PhDa,e; Erin L. Patel, PsyD, ABPPa; and Ryan M. Scilla, MDa,f
aOffice of Academic Affiliations, Veterans Health Administration, Department of Veterans Affairs, Washington, DC
bVA Providence Health Care System, Rhode Island
cThe Warren Alpert Medical School of Brown University, Providence, Rhode Island
dVirginia Commonwealth University, Richmond
eNorthwestern University Feinberg School of Medicine, Chicago, Illinois
fUniversity of Maryland School of Medicine, Baltimore
Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.
Ethics and consent
This report is a program description and did not involve collection of data from human or animal subjects.
Author and Disclosure Information
John M. Byrne, DOa; Paul B. Greenberg, MDb,c; Karen M. Sanders, MDa,d; Andrea D. Birnbaum, MD, PhDa,e; Erin L. Patel, PsyD, ABPPa; and Ryan M. Scilla, MDa,f
aOffice of Academic Affiliations, Veterans Health Administration, Department of Veterans Affairs, Washington, DC
bVA Providence Health Care System, Rhode Island
cThe Warren Alpert Medical School of Brown University, Providence, Rhode Island
dVirginia Commonwealth University, Richmond
eNorthwestern University Feinberg School of Medicine, Chicago, Illinois
fUniversity of Maryland School of Medicine, Baltimore
Author disclosures
The authors report no actual or potential conflicts of interest or outside sources of funding with regard to this article.
Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies.
Ethics and consent
This report is a program description and did not involve collection of data from human or animal subjects.
The US Department of Veterans Affairs (VA) has partnered with academic medical centers and programs since 1946 to provide clinical training for physician residents. Ranking second in federal graduate medical education (GME) funding to the Centers for Medicare and Medicaid Services (CMS), the $850 million VA GME budget annually reimburses > 250 GME-sponsoring institutions (affiliates) of 8000 GME programs for the clinical training of 49,000 individual residents rotating through > 11,000 full-time equivalent (FTE) positions.1 The VA also distributes $1.6 billion to VA facilities to offset the costs of conducting health professions education (HPE) (eg, facility infrastructure, salary support for VA instructors and preceptors, education office administration, and instructional equipment).2 The VA financial and educational contributions account for payment of 11% of resident positions nationally and allow academic medical centers to be less reliant on CMS GME funding.3,4 The VA contributions also provide opportunities for GME expansion,1,5,6 educational innovations,5,7 interprofessional and team-based care,8,9 and quality and safety training.10,11 The Table provides a comparison of CMS and VA GME reimbursability based on activity.
GME financing is complex, particularly the formulaic approach used by CMS, the details of which are often obscured in federal regulations. Due to this complexity and the $16 billion CMS GME budget, academic publications have focused on CMS GME financing while not fully explaining the VA GME policies and processes.4,12-14 By comparison, the VA GME financing model is relatively straightforward and governed by different statues and VA regulations, yet sharing some of the same principles as CMS regulations. Given the challenges in CMS reimbursement to fully support the cost of resident education, as well as the educational opportunities at the VA, the VA designs its reimbursement model to assure that affiliates receive appropriate payments.4,12,15 To ensure the continued success of VA GME partnerships, knowledge of VA GME financing has become increasingly important for designated institutional officers (DIOs) and residency program directors, particularly in light of recent investigations into oversight of the VA’s reimbursement to academic affiliates.16-18 This report describes VA GME reimbursement and, where applicable, VA and CMS reimbursement policies are compared to highlight similarities, differences, and common principles.
VA AUTHORITY
While the VA’s primary mission is “to provide a complete hospital medical service for the medical care and treatment of veterans,”early VA leaders recognized the importance of affiliating with the nation’s academic institutions.19 In 1946, the VA Policy Memorandum Number 2 established a partnership between the VA and the academic medical community.20 Additional legislation authorized specific agreements with academic affiliates for the central administration of salary and benefits for residents rotating at VA facilities. This process, known as disbursement, is an alternative payroll mechanism whereby the VA reimburses the academic affiliate for resident salary and benefits and the affiliate acts as the disbursing agent, issuing paychecks to residents.21,22
Resident FUNDING
By policy, with rare exceptions, the VA does not sponsor residency programs due to the challenges of providing an appropriate patient mix of age, sex, and medical conditions to meet accreditation standards.4 Nearly all VA reimbursements are for residents in affiliate-sponsored programs, while just 1% pays for residents in legacy, VA-sponsored residency programs at 2 VA facilities. The VA budget for resident (including fellows) salary and benefits is managed by the VA Office of Academic Affiliations (OAA), the national VA office responsible for oversight, policy, and funding of VA HPE programs.
Resident Salaries and Benefits
VA funding of resident salary and benefits are analogous with CMS direct GME (DGME), which is designed to cover resident salary and benefits costs.4,14,23 CMS DGME payments depend on a hospital’s volume of CMS inpatients and are based on a statutory formula, which uses the hospital’s resident FTE positions, the per-resident amount, and Medicare’s share of inpatient beds (Medicare patient load) to determine payments.12 The per-resident amount is set by statute, varies geographically, and is calculated by dividing the hospital’s allowable costs of GME (percentage of CMS inpatient days) divided by the number of residents.12,24
By comparison, the VA GME payment reimburses for each FTE based on the salary and benefits rate set by the academic affiliate. Reimbursement is calculated based on resident time spent at the VA multiplied by a daily salary rate. The daily salary rate is determined by dividing the resident’s total compensation (salary and benefits) by the number of calendar days in an academic year. Resident time spent at the VA facility is determined by obtaining rotation schedules provided by the academic affiliate and verifying resident clinical and educational activity during scheduled rotations.
Indirect Medical Education Funding
In addition to resident salary and benefits, funds to offset the cost of conducting HPE are provided to VA facilities. These funds are intended to improve and maintain necessary infrastructure for all HPE programs not just GME, including education office administration needs, teaching costs (ie, a portion of VA preceptors salary), and instructional equipment.
The Veterans Equitable Resource Allocation (VERA) is a national budgeting process for VA medical facilities that funds facility operational needs such as staff salary and benefits, infrastructure, and equipment.2 The education portion of the VERA, the VERA Education Support Component (VESC), is not managed by the OAA, but rather is distributed through the VERA model to the general budget of VA facilities hosting HPE (Figure). VESC funding in the VA budget is based on labor mapping of physician time spent in education; other labor mapping categories include clinical care, research, and administration. VA facility VESC funding is calculated based on the number of paid health profession trainees (HPTs) from all professions, apportioned according to the number of FTEs for physician residents and VA-paid HPTs in other disciplines. In fiscal year 2024, VA facilities received $115,812 for each physician resident FTE position and $84,906 for each VA-paid, non-GME FTE position.
The VESC is like CMS's indirect GME funding, termed Indirect Medical Education (IME), an additional payment for each Medicare patient discharged reflecting teaching hospitals’ higher patient care costs relative to nonteaching hospitals. Described elsewhere, IME is calculated using a resident-to-bed ratio and a multiplier, which is set by statute.4,25 While IME can be used for reimbursement for some resident clinical and educational activities(eg, research), VA VESC funds cannot be used for such activities and are part of the general facility budget and appropriated per the discretion of the medical facility director.
ESTABLISHING GME PARTNERSHIPS
An affiliation agreement establishes the administrative and legal requirements for educational relationships with academic affiliates and includes standards for conducting HPE, responsibilities for accreditation standards, program leadership, faculty, resources, supervision, academic policies, and procedures. The VA uses standardized affiliation agreement templates that have been vetted with accrediting bodies and the VA Office of General Counsel.
A disbursement agreement authorizes the VA to reimburse affiliates for resident salary and benefits for VA clinical and educational activities. The disbursement agreement details the fiscal arrangements (eg, payment in advance vs arrears, salary, and benefit rates, leave) for the reimbursement payments. Veterans Health Administration (VHA) Directive 1400.05 provides the policy and procedures for calculating reimbursement for HPT educational activities.26
The VA facility designated education officer (DEO) oversees all HPE programs and coordinates the affiliation and disbursement agreement processes.27 The DEO, affiliate DIO, residency program director, and VA residency site director determine the physician resident FTE positions assigned to a VA facility based on educational objectives and availability of educational resources at the VA facility, such as patient care opportunities, faculty supervisors, space, and equipment. The VA facility requests for resident FTE positions are submitted to the OAA by the facility DEO.
Once GME FTE positions are approved by the OAA, VA facilities work with their academic affiliate to submit the physician resident salary and benefit rate. Affiliate DIOs attest to the accuracy of the salary rate schedule and the local DEO submits the budget request to the OAA. Upon approval, the funds are transferred to the VA facility each fiscal year, which begins October 1. DEOs report quarterly to the OAA both budget needs and excesses based on variations in the approved FTEs due to additional VA rotations, physician resident attrition, or reassignment.
Resident Position Allocation
VA GME financing provides flexibility through periodic needs assessments and expansion initiatives. In August and December, DEOs collaborate with an academic affiliate to submit reports to the OAA confirming their projected GME needs for the next academic year. Additional positions requests are reviewed by the OAA; funding depends on budget and the educational justification. The OAA periodically issues GME expansion requests for proposal, which typically arise from legislation to address specific VA workforce needs. The VA facility DEO and affiliate GME leaders collaborate to apply for additional positions. For example, a VA GME expansion under the Veterans Access, Choice, and Accountability Act of 2014 added 1500 GME positions in 8 years for critically needed specialties and in rural and underserved areas.5 The Maintaining Internal Systems and Strengthening Outside Networks (MISSION) Act of 2018 authorized a pilot program for VA to fund residents at non-VA facilities with priority for Indian Health Services, Tribes and Tribal Organizations, Federally Qualified Health Centers, and US Department of Defense facilities to provide access to veterans in underserved areas.6
The VA GME financing system has flexibility to meet local needs for additional resident positions and to address broader VA workforce gaps through targeted expansion. Generally, CMS does not fund positions to address workforce needs, place residents in specific geographic areas, or require the training of certain types of residents.4 However, the Consolidated Appropriations Act of 2021 has provided the opportunity to address rural workforce needs.28
Reimbursement
The VA provides reimbursement for clinical and educational activities performed in VA facilities for the benefit of veterans as well as research, didactics, meetings and conferences, annual and sick leave, and orientation. The VA also may provide reimbursement for educational activities that occur off VA grounds (eg, the VA proportional share of a residency program’s didactic sessions). The VA does not reimburse for affiliate clinical duties or administrative costs, although a national policy allows VA facilities to reimburse affiliates for some GME overhead costs.29
CMS similarly reimburses for residency training time spent in patient care activities as well as orientation activities, didactics, leave, and, in some cases, research.4,30,31 CMS makes payments to hospitals, which may include sponsoring institutions and Medicare-eligible participating training sites.4,30,31 For both the VA and CMS, residents may not be counted twice for reimbursement by 2 federal agencies; in other words, a resident may not count for > 1 FTE.4,30-32
GME Oversight
VA GME funding came under significant scrutiny. At a 2016 House Veterans Affairs Committee hearing, Representative Phil Roe, MD (R-Tennessee), noted that no process existed at many VA facilities for “determining trainee presence” and that many VA medical centers had “difficulty tracking resident rotations”16 A VA Office of the Inspector General investigation recommended that the VA implement policies and procedures to improve oversight to “ensure residents are fully participating in educational activities” and that the VA is “paying the correct amount” to the affiliate.17 A 2020 General Accountability Office report outlined unclear policy guidance, incomplete tracking of resident activities, and improper fiscal processes for reimbursement and reconciliation of affiliate invoices.18
In response, the OAA created an oversight and compliance unit, revised VHA Directive 1400.05 (the policy for disbursement), and improved resident tracking procedures.26 The standard operating procedure that accompanied VHA Directive 1400.05 provides detailed information for the DEO and VA facility staff for tracking resident clinical and educational activities. FTE counts are essential to both VA and CMS for accurate reimbursement. The eAppendix and the Table provide a guide to reimbursable activities in the VA for the calculation of reimbursement, with a comparison to CMS.33,34 The OAA in cooperation with other VA staff and officers periodically conducts audits to assess compliance with disbursement policy and affiliate reimbursement accuracy.
In the VA, resident activities are captured on the VA Educational Activity Record, a standardized spreadsheet to track activities and calculate reimbursement. Each VA facility hosting resident physicians manually records resident activity by the half-day. This process is labor intensive, involving both VA and affiliate staff to accurately reconcile payments. To address the workload demands, the OAA is developing an online tool that will automate aspects of the tracking process. Also, to ensure adequate staffing, the OAA is in the process of implementing an office optimization project, providing standardized position descriptions, an organizational chart, and staffing levels for DEO offices in VA facilities.
Conclusions
This report describes the key policies and principles of VA GME financing, highlighting the essential similarities and differences between VA and CMS. Neither the VA nor CMS regulations allow for reimbursement for > 1 FTE position per resident, a principle that underpins the assignment of resident rotations and federal funding for GME and are similar with respect to reimbursement for patient care activities, didactics, research, orientation, and scholarly activity. While reimbursable activities in the VA require physical presence and care of veteran patients, CMS also limits reimbursement to resident activities in the hospital and approved other settings if the hospital is paying for resident salary and benefits in these settings. The VA provides some flexibility for offsite activities including didactics and, in specific circumstances, remote care of veteran patients (eg, teleradiology).
The VA and CMS use different GME financing models. For example, the CMS calculations for resident FTEs are complex, whereas VA calculations reimburse the salary and benefits as set by the academic affiliate. The VA process accounts for local variation in salary rates, whereas the per-resident amount set by CMS varies regionally and does not fully account for differences in the cost of living.24 Because all patients in VA facilities are veterans, VA calculations for reimbursement do not involve ratios of beds like the CMS calculations to determine a proportional share of reimbursement. The VA GME expansion tends to be more directed to VA health workforce needs than CMS, specifying the types of programs and geographic locations to address these needs.
The VA regularly reevaluates how affiliates are reimbursed for VA resident activity, balancing compliance with VA policies and the workload for VA and its affiliates. The VA obtains input from key stakeholders including DEOs, DIOs, and professional organizations such as the Association of American Medical Colleges and the Accreditation Council for Graduate Medical Education.35,36
Looking ahead, the VA is developing an online tool to improve the accuracy of affiliate reimbursement. The VA will also implement a standardized staffing model, organizational structure, and position descriptions for DEO offices. These initiatives will help reduce the burden of tracking and verifying resident activity and continue to support the 77-year partnership between VA and its affiliated institutions.
The US Department of Veterans Affairs (VA) has partnered with academic medical centers and programs since 1946 to provide clinical training for physician residents. Ranking second in federal graduate medical education (GME) funding to the Centers for Medicare and Medicaid Services (CMS), the $850 million VA GME budget annually reimburses > 250 GME-sponsoring institutions (affiliates) of 8000 GME programs for the clinical training of 49,000 individual residents rotating through > 11,000 full-time equivalent (FTE) positions.1 The VA also distributes $1.6 billion to VA facilities to offset the costs of conducting health professions education (HPE) (eg, facility infrastructure, salary support for VA instructors and preceptors, education office administration, and instructional equipment).2 The VA financial and educational contributions account for payment of 11% of resident positions nationally and allow academic medical centers to be less reliant on CMS GME funding.3,4 The VA contributions also provide opportunities for GME expansion,1,5,6 educational innovations,5,7 interprofessional and team-based care,8,9 and quality and safety training.10,11 The Table provides a comparison of CMS and VA GME reimbursability based on activity.
GME financing is complex, particularly the formulaic approach used by CMS, the details of which are often obscured in federal regulations. Due to this complexity and the $16 billion CMS GME budget, academic publications have focused on CMS GME financing while not fully explaining the VA GME policies and processes.4,12-14 By comparison, the VA GME financing model is relatively straightforward and governed by different statues and VA regulations, yet sharing some of the same principles as CMS regulations. Given the challenges in CMS reimbursement to fully support the cost of resident education, as well as the educational opportunities at the VA, the VA designs its reimbursement model to assure that affiliates receive appropriate payments.4,12,15 To ensure the continued success of VA GME partnerships, knowledge of VA GME financing has become increasingly important for designated institutional officers (DIOs) and residency program directors, particularly in light of recent investigations into oversight of the VA’s reimbursement to academic affiliates.16-18 This report describes VA GME reimbursement and, where applicable, VA and CMS reimbursement policies are compared to highlight similarities, differences, and common principles.
VA AUTHORITY
While the VA’s primary mission is “to provide a complete hospital medical service for the medical care and treatment of veterans,”early VA leaders recognized the importance of affiliating with the nation’s academic institutions.19 In 1946, the VA Policy Memorandum Number 2 established a partnership between the VA and the academic medical community.20 Additional legislation authorized specific agreements with academic affiliates for the central administration of salary and benefits for residents rotating at VA facilities. This process, known as disbursement, is an alternative payroll mechanism whereby the VA reimburses the academic affiliate for resident salary and benefits and the affiliate acts as the disbursing agent, issuing paychecks to residents.21,22
Resident FUNDING
By policy, with rare exceptions, the VA does not sponsor residency programs due to the challenges of providing an appropriate patient mix of age, sex, and medical conditions to meet accreditation standards.4 Nearly all VA reimbursements are for residents in affiliate-sponsored programs, while just 1% pays for residents in legacy, VA-sponsored residency programs at 2 VA facilities. The VA budget for resident (including fellows) salary and benefits is managed by the VA Office of Academic Affiliations (OAA), the national VA office responsible for oversight, policy, and funding of VA HPE programs.
Resident Salaries and Benefits
VA funding of resident salary and benefits are analogous with CMS direct GME (DGME), which is designed to cover resident salary and benefits costs.4,14,23 CMS DGME payments depend on a hospital’s volume of CMS inpatients and are based on a statutory formula, which uses the hospital’s resident FTE positions, the per-resident amount, and Medicare’s share of inpatient beds (Medicare patient load) to determine payments.12 The per-resident amount is set by statute, varies geographically, and is calculated by dividing the hospital’s allowable costs of GME (percentage of CMS inpatient days) divided by the number of residents.12,24
By comparison, the VA GME payment reimburses for each FTE based on the salary and benefits rate set by the academic affiliate. Reimbursement is calculated based on resident time spent at the VA multiplied by a daily salary rate. The daily salary rate is determined by dividing the resident’s total compensation (salary and benefits) by the number of calendar days in an academic year. Resident time spent at the VA facility is determined by obtaining rotation schedules provided by the academic affiliate and verifying resident clinical and educational activity during scheduled rotations.
Indirect Medical Education Funding
In addition to resident salary and benefits, funds to offset the cost of conducting HPE are provided to VA facilities. These funds are intended to improve and maintain necessary infrastructure for all HPE programs not just GME, including education office administration needs, teaching costs (ie, a portion of VA preceptors salary), and instructional equipment.
The Veterans Equitable Resource Allocation (VERA) is a national budgeting process for VA medical facilities that funds facility operational needs such as staff salary and benefits, infrastructure, and equipment.2 The education portion of the VERA, the VERA Education Support Component (VESC), is not managed by the OAA, but rather is distributed through the VERA model to the general budget of VA facilities hosting HPE (Figure). VESC funding in the VA budget is based on labor mapping of physician time spent in education; other labor mapping categories include clinical care, research, and administration. VA facility VESC funding is calculated based on the number of paid health profession trainees (HPTs) from all professions, apportioned according to the number of FTEs for physician residents and VA-paid HPTs in other disciplines. In fiscal year 2024, VA facilities received $115,812 for each physician resident FTE position and $84,906 for each VA-paid, non-GME FTE position.
The VESC is like CMS's indirect GME funding, termed Indirect Medical Education (IME), an additional payment for each Medicare patient discharged reflecting teaching hospitals’ higher patient care costs relative to nonteaching hospitals. Described elsewhere, IME is calculated using a resident-to-bed ratio and a multiplier, which is set by statute.4,25 While IME can be used for reimbursement for some resident clinical and educational activities(eg, research), VA VESC funds cannot be used for such activities and are part of the general facility budget and appropriated per the discretion of the medical facility director.
ESTABLISHING GME PARTNERSHIPS
An affiliation agreement establishes the administrative and legal requirements for educational relationships with academic affiliates and includes standards for conducting HPE, responsibilities for accreditation standards, program leadership, faculty, resources, supervision, academic policies, and procedures. The VA uses standardized affiliation agreement templates that have been vetted with accrediting bodies and the VA Office of General Counsel.
A disbursement agreement authorizes the VA to reimburse affiliates for resident salary and benefits for VA clinical and educational activities. The disbursement agreement details the fiscal arrangements (eg, payment in advance vs arrears, salary, and benefit rates, leave) for the reimbursement payments. Veterans Health Administration (VHA) Directive 1400.05 provides the policy and procedures for calculating reimbursement for HPT educational activities.26
The VA facility designated education officer (DEO) oversees all HPE programs and coordinates the affiliation and disbursement agreement processes.27 The DEO, affiliate DIO, residency program director, and VA residency site director determine the physician resident FTE positions assigned to a VA facility based on educational objectives and availability of educational resources at the VA facility, such as patient care opportunities, faculty supervisors, space, and equipment. The VA facility requests for resident FTE positions are submitted to the OAA by the facility DEO.
Once GME FTE positions are approved by the OAA, VA facilities work with their academic affiliate to submit the physician resident salary and benefit rate. Affiliate DIOs attest to the accuracy of the salary rate schedule and the local DEO submits the budget request to the OAA. Upon approval, the funds are transferred to the VA facility each fiscal year, which begins October 1. DEOs report quarterly to the OAA both budget needs and excesses based on variations in the approved FTEs due to additional VA rotations, physician resident attrition, or reassignment.
Resident Position Allocation
VA GME financing provides flexibility through periodic needs assessments and expansion initiatives. In August and December, DEOs collaborate with an academic affiliate to submit reports to the OAA confirming their projected GME needs for the next academic year. Additional positions requests are reviewed by the OAA; funding depends on budget and the educational justification. The OAA periodically issues GME expansion requests for proposal, which typically arise from legislation to address specific VA workforce needs. The VA facility DEO and affiliate GME leaders collaborate to apply for additional positions. For example, a VA GME expansion under the Veterans Access, Choice, and Accountability Act of 2014 added 1500 GME positions in 8 years for critically needed specialties and in rural and underserved areas.5 The Maintaining Internal Systems and Strengthening Outside Networks (MISSION) Act of 2018 authorized a pilot program for VA to fund residents at non-VA facilities with priority for Indian Health Services, Tribes and Tribal Organizations, Federally Qualified Health Centers, and US Department of Defense facilities to provide access to veterans in underserved areas.6
The VA GME financing system has flexibility to meet local needs for additional resident positions and to address broader VA workforce gaps through targeted expansion. Generally, CMS does not fund positions to address workforce needs, place residents in specific geographic areas, or require the training of certain types of residents.4 However, the Consolidated Appropriations Act of 2021 has provided the opportunity to address rural workforce needs.28
Reimbursement
The VA provides reimbursement for clinical and educational activities performed in VA facilities for the benefit of veterans as well as research, didactics, meetings and conferences, annual and sick leave, and orientation. The VA also may provide reimbursement for educational activities that occur off VA grounds (eg, the VA proportional share of a residency program’s didactic sessions). The VA does not reimburse for affiliate clinical duties or administrative costs, although a national policy allows VA facilities to reimburse affiliates for some GME overhead costs.29
CMS similarly reimburses for residency training time spent in patient care activities as well as orientation activities, didactics, leave, and, in some cases, research.4,30,31 CMS makes payments to hospitals, which may include sponsoring institutions and Medicare-eligible participating training sites.4,30,31 For both the VA and CMS, residents may not be counted twice for reimbursement by 2 federal agencies; in other words, a resident may not count for > 1 FTE.4,30-32
GME Oversight
VA GME funding came under significant scrutiny. At a 2016 House Veterans Affairs Committee hearing, Representative Phil Roe, MD (R-Tennessee), noted that no process existed at many VA facilities for “determining trainee presence” and that many VA medical centers had “difficulty tracking resident rotations”16 A VA Office of the Inspector General investigation recommended that the VA implement policies and procedures to improve oversight to “ensure residents are fully participating in educational activities” and that the VA is “paying the correct amount” to the affiliate.17 A 2020 General Accountability Office report outlined unclear policy guidance, incomplete tracking of resident activities, and improper fiscal processes for reimbursement and reconciliation of affiliate invoices.18
In response, the OAA created an oversight and compliance unit, revised VHA Directive 1400.05 (the policy for disbursement), and improved resident tracking procedures.26 The standard operating procedure that accompanied VHA Directive 1400.05 provides detailed information for the DEO and VA facility staff for tracking resident clinical and educational activities. FTE counts are essential to both VA and CMS for accurate reimbursement. The eAppendix and the Table provide a guide to reimbursable activities in the VA for the calculation of reimbursement, with a comparison to CMS.33,34 The OAA in cooperation with other VA staff and officers periodically conducts audits to assess compliance with disbursement policy and affiliate reimbursement accuracy.
In the VA, resident activities are captured on the VA Educational Activity Record, a standardized spreadsheet to track activities and calculate reimbursement. Each VA facility hosting resident physicians manually records resident activity by the half-day. This process is labor intensive, involving both VA and affiliate staff to accurately reconcile payments. To address the workload demands, the OAA is developing an online tool that will automate aspects of the tracking process. Also, to ensure adequate staffing, the OAA is in the process of implementing an office optimization project, providing standardized position descriptions, an organizational chart, and staffing levels for DEO offices in VA facilities.
Conclusions
This report describes the key policies and principles of VA GME financing, highlighting the essential similarities and differences between VA and CMS. Neither the VA nor CMS regulations allow for reimbursement for > 1 FTE position per resident, a principle that underpins the assignment of resident rotations and federal funding for GME and are similar with respect to reimbursement for patient care activities, didactics, research, orientation, and scholarly activity. While reimbursable activities in the VA require physical presence and care of veteran patients, CMS also limits reimbursement to resident activities in the hospital and approved other settings if the hospital is paying for resident salary and benefits in these settings. The VA provides some flexibility for offsite activities including didactics and, in specific circumstances, remote care of veteran patients (eg, teleradiology).
The VA and CMS use different GME financing models. For example, the CMS calculations for resident FTEs are complex, whereas VA calculations reimburse the salary and benefits as set by the academic affiliate. The VA process accounts for local variation in salary rates, whereas the per-resident amount set by CMS varies regionally and does not fully account for differences in the cost of living.24 Because all patients in VA facilities are veterans, VA calculations for reimbursement do not involve ratios of beds like the CMS calculations to determine a proportional share of reimbursement. The VA GME expansion tends to be more directed to VA health workforce needs than CMS, specifying the types of programs and geographic locations to address these needs.
The VA regularly reevaluates how affiliates are reimbursed for VA resident activity, balancing compliance with VA policies and the workload for VA and its affiliates. The VA obtains input from key stakeholders including DEOs, DIOs, and professional organizations such as the Association of American Medical Colleges and the Accreditation Council for Graduate Medical Education.35,36
Looking ahead, the VA is developing an online tool to improve the accuracy of affiliate reimbursement. The VA will also implement a standardized staffing model, organizational structure, and position descriptions for DEO offices. These initiatives will help reduce the burden of tracking and verifying resident activity and continue to support the 77-year partnership between VA and its affiliated institutions.
References
1. Klink KA, Albanese AP, Bope ET, Sanders KM. Veterans Affairs graduate medical education expansion addresses US physician workforce needs. Acad Med. 2022;97(8):1144-1150. doi:10.1097/ACM.0000000000004545
2. Andrus CH, Johnson K, Pierce E, Romito PJ, Hartel P, Berrios‐Guccione S, Best W. Finance modeling in the delivery of medical care in tertiary‐care hospitals in the Department of Veterans Affairs. J Surg Res. 2001;96(2):152-157. doi:10.1006/jsre.1999.5728
3. Petrakis IL, Kozal M. Academic medical centers and the U.S. Department of Veterans Affairs: a 75-year partnership influences medical education, scientific discovery, and clinical care. Acad Med. 2022;97(8):1110-1113. doi:10.1097/ACM.0000000000004734
4. Heisler EJ, Mendez BH, Mitchell A, Panangala SV, Villagrana MA. Federal support for graduate medical education: an overview (R44376). Congressional Research Service report R44376; version 11. Updated December 27, 2018. Accessed March 2, 2024. https://crsreports.congress.gov/product/pdf/R/R44376/11
5. Chang BK, Brannen JL. The Veterans Access, Choice, and Accountability Act of 2014: examining graduate medical education enhancement in the Department of Veterans Affairs. Acad Med. 2015;90(9):1196-1198. doi:10.1097/ACM.0000000000000795
6. Albanese AP, Bope ET, Sanders KM, Bowman M. The VA MISSION Act of 2018: a potential game changer for rural GME expansion and veteran health care. J Rural Health. 2020;36(1):133-136. doi:10.1111/jrh.12360
7. Lypson ML, Roberts LW. Valuing the partnership between the Veterans Health Administration and academic medicine. Acad Med. 2022;97(8):1091-1093. doi:10.1097/ACM.0000000000004748
8. Harada ND, Traylor L, Rugen KW, et al. Interprofessional transformation of clinical education: the first six years of the Veterans Affairs Centers of Excellence in Primary Care Education. J Interprof Care. 2023;37(suppl 1):S86-S94. doi:10.1080/13561820.2018.1433642
9. Harada ND, Rajashekara S, Sansgiry S, et al. Developing interprofessional primary care teams: alumni evaluation of the Department of Veterans Affairs Centers of Excellence in Primary Care Education Program. J Med Educ Curric Dev. 2019;6:2382120519875455. doi:10.1177/2382120519875455
10. Splaine ME, Ogrinc G, Gilman SC, et al. The Department of Veterans Affairs National Quality Scholars Fellowship Program: experience from 10 years of training quality scholars. Acad Med. 2009;84(12):1741-1748. doi:10.1097/ACM.0b013e3181bfdcef
11. Watts BV, Paull DE, Williams LC, Neily J, Hemphill RR, Brannen JL. Department of Veterans Affairs chief resident in quality and patient safety program: a model to spread change. Am J Med Qual. 2016;31(6):598-600. doi:10.1177/1062860616643403
12. He K, Whang E, Kristo G. Graduate medical education funding mechanisms, challenges, and solutions: a narrative review. Am J Surg. 2021;221(1):65-71. doi:10.1016/j.amjsurg.2020.06.007
13. Villagrana M. Medicare graduate medical education payments: an overview. Congressional Research Service report IF10960. Updated September 29, 2022. Accessed March 2, 2024. https://crsreports.congress.gov/product/pdf/IF/IF10960
14. Committee on the Governance and Financing of Graduate Medical Education; Board on Health Care Services; Institute of Medicine. Graduate Medical Education That Meets the Nation’s Health Needs. Eden J, Berwick DM, Wilensky GR, eds. Washington, DC: National Academies Press; 2014. doi:10.17226/18754
15. Physician workforce: caps on Medicare-funded graduate medical education at teaching hospitals. Report to congressional requesters. GAO-21-391. May 21, 2021. Accessed March 1, 2024. https://www.gao.gov/assets/gao-21-391.pdf
16. VA and Academic Affiliates: Who Benefits? Hearing Before the Subcommittee on Oversight and Investigations of the Committee on Veterans’ Affairs, 114th Cong, 2nd Sess (2016). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CHRG-115hhrg29685/html/CHRG-115hhrg29685.htm
17. US Department of Veterans Affairs, Office of Inspector General (OIG). Veterans Health Administration. Review of resident and part-time physician time and attendance at the Oklahoma City VA Health Care System. OIG report 17-00253-93. March 28, 2018. Accessed March 1, 2024. https://www.oversight.gov/sites/default/files/oig-reports/VAOIG-17-00253-93.pdf
18. VA health care: actions needed to improve oversight of graduate medical education reimbursement. Report to the ranking member, Committee on Veterans’ Affairs, House of Representatives. GAO-20-553. July 2020. Accessed March 1, 2024. https://www.gao.gov/assets/710/708275.pdf
19. Functions of Veterans Health Administration: in general, 38 USC §7301 (2022). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/USCODE-2022-title38/pdf/USCODE-2022-title38-partV-chap73-subchapI-sec7301.pdf
20. US Department of Veterans Affairs. Policy memorandum no. 2, policy in association of veterans’ hospitals with medical schools. January 30, 1946.
21. Veterans Health Care Expansion Act of 1973, Public Law 93-82. August 2, 1973. Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/STATUTE-87/pdf/STATUTE-87-Pg179.pdf
22. Residencies and internships, 38 USC § 7406 (2022). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/USCODE-2022-title38/pdf/USCODE-2022-title38-partV-chap74-subchapI-sec7406.pdf
23. Direct graduate medical education (DGME). Centers for Medicaid and Medicare Services. Updated December 5, 2023. Accessed March 1, 2024. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/DGME
24. Drezdzon MK, Cowley NJ, Sweeney DP, et al. Going for broke: the impact of cost of living on surgery resident stipend value. Ann Surg. 2023;278(6):1053-1059. doi:10.1097/SLA.0000000000005923
25. Special treatment: hospitals that incur indirect costs for graduate medical education programs, 42 CFR § 412.105 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec412-105.pdf
26. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1400.05, Disbursement agreements for health professions trainees appointed under 38 U.S.C. § 7406. June 2, 2021. Accessed March 1, 2024. https://www.va.gov/vhapublications/ViewPublication.asp?pub_ID=9293
27. Harada ND, Sanders KM, Bowman MA. Health systems education leadership: learning from the VA designated education officer role. Fed Pract. 2022;39(6):266-273. doi:10.12788/fp.0278
28. Schleiter Hitchell K, Johnson L. CMS finalizes rules for distribution of 1000 new Medicare-funded residency positions and changes to rural training track programs. J Grad Med Educ. 2022;14(2):245-249. doi:10.4300/JGME-D-22-00193.1
29. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1400.10, Educational cost contracts for health professions education. September 25, 2023. Accessed March 1, 2024. https://www.va.gov/VHAPUBLICATIONS/ViewPublication.asp?pub_ID=11480
30. Direct GME payments: general requirements, 42 CFR § 413.75 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec413-75.pdf
31. Direct GME payments: determination of the total number of FTE residents, 42 CFR § 413.78 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec413-78.pdf
32. US Department of Health and Human Services, Centers for Medicare and Medicaid Services. Medicare financial management manual, chapter 8. Contractor procedures for provider audits. Accessed March 1, 2024. https://www.cms.gov/regulations-and-guidance/guidance/manuals/downloads/fin106c08.pdf
33. US Department of Health and Human Services, Office of Inspector General. CMS did not always ensure hospitals complied with Medicare reimbursement requirements for graduate medical education. OIG report A-02-17-01017. November 2018. Accessed March 1, 2024. https://oig.hhs.gov/oas/reports/region2/21701017.pdf
34. US Department of Health and Human Services, Centers for Medicare and Medicaid Services. Interns and Residents Information System (IRIS) XML format. Publication 100-20. Transmittal 11418. Change request 12724. May 19, 2022. Accessed March 1, 2024. https://www.hhs.gov/guidance/sites/default/files/hhs-guidance-documents/R11418OTN.pdf
35. Birnbaum AD, Byrne J, on behalf of the VA Office of Academic Affiliations. VHA Updates: Disbursement Policy and Education Cost Contracts. Presented at: American Association of Medical Colleges Webinar; June 2021. Accessed March 1, 2024. https://vimeo.com/644415670
36. Byrne JM, on behalf of the VA Office of Academic Affiliations. Disbursement procedures update for AY 23-24. Accessed March 1, 2024. https://www.va.gov/oaa/Videos/AffiliatePresentationDisbursementandEARsAY23-24.pptx
References
1. Klink KA, Albanese AP, Bope ET, Sanders KM. Veterans Affairs graduate medical education expansion addresses US physician workforce needs. Acad Med. 2022;97(8):1144-1150. doi:10.1097/ACM.0000000000004545
2. Andrus CH, Johnson K, Pierce E, Romito PJ, Hartel P, Berrios‐Guccione S, Best W. Finance modeling in the delivery of medical care in tertiary‐care hospitals in the Department of Veterans Affairs. J Surg Res. 2001;96(2):152-157. doi:10.1006/jsre.1999.5728
3. Petrakis IL, Kozal M. Academic medical centers and the U.S. Department of Veterans Affairs: a 75-year partnership influences medical education, scientific discovery, and clinical care. Acad Med. 2022;97(8):1110-1113. doi:10.1097/ACM.0000000000004734
4. Heisler EJ, Mendez BH, Mitchell A, Panangala SV, Villagrana MA. Federal support for graduate medical education: an overview (R44376). Congressional Research Service report R44376; version 11. Updated December 27, 2018. Accessed March 2, 2024. https://crsreports.congress.gov/product/pdf/R/R44376/11
5. Chang BK, Brannen JL. The Veterans Access, Choice, and Accountability Act of 2014: examining graduate medical education enhancement in the Department of Veterans Affairs. Acad Med. 2015;90(9):1196-1198. doi:10.1097/ACM.0000000000000795
6. Albanese AP, Bope ET, Sanders KM, Bowman M. The VA MISSION Act of 2018: a potential game changer for rural GME expansion and veteran health care. J Rural Health. 2020;36(1):133-136. doi:10.1111/jrh.12360
7. Lypson ML, Roberts LW. Valuing the partnership between the Veterans Health Administration and academic medicine. Acad Med. 2022;97(8):1091-1093. doi:10.1097/ACM.0000000000004748
8. Harada ND, Traylor L, Rugen KW, et al. Interprofessional transformation of clinical education: the first six years of the Veterans Affairs Centers of Excellence in Primary Care Education. J Interprof Care. 2023;37(suppl 1):S86-S94. doi:10.1080/13561820.2018.1433642
9. Harada ND, Rajashekara S, Sansgiry S, et al. Developing interprofessional primary care teams: alumni evaluation of the Department of Veterans Affairs Centers of Excellence in Primary Care Education Program. J Med Educ Curric Dev. 2019;6:2382120519875455. doi:10.1177/2382120519875455
10. Splaine ME, Ogrinc G, Gilman SC, et al. The Department of Veterans Affairs National Quality Scholars Fellowship Program: experience from 10 years of training quality scholars. Acad Med. 2009;84(12):1741-1748. doi:10.1097/ACM.0b013e3181bfdcef
11. Watts BV, Paull DE, Williams LC, Neily J, Hemphill RR, Brannen JL. Department of Veterans Affairs chief resident in quality and patient safety program: a model to spread change. Am J Med Qual. 2016;31(6):598-600. doi:10.1177/1062860616643403
12. He K, Whang E, Kristo G. Graduate medical education funding mechanisms, challenges, and solutions: a narrative review. Am J Surg. 2021;221(1):65-71. doi:10.1016/j.amjsurg.2020.06.007
13. Villagrana M. Medicare graduate medical education payments: an overview. Congressional Research Service report IF10960. Updated September 29, 2022. Accessed March 2, 2024. https://crsreports.congress.gov/product/pdf/IF/IF10960
14. Committee on the Governance and Financing of Graduate Medical Education; Board on Health Care Services; Institute of Medicine. Graduate Medical Education That Meets the Nation’s Health Needs. Eden J, Berwick DM, Wilensky GR, eds. Washington, DC: National Academies Press; 2014. doi:10.17226/18754
15. Physician workforce: caps on Medicare-funded graduate medical education at teaching hospitals. Report to congressional requesters. GAO-21-391. May 21, 2021. Accessed March 1, 2024. https://www.gao.gov/assets/gao-21-391.pdf
16. VA and Academic Affiliates: Who Benefits? Hearing Before the Subcommittee on Oversight and Investigations of the Committee on Veterans’ Affairs, 114th Cong, 2nd Sess (2016). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CHRG-115hhrg29685/html/CHRG-115hhrg29685.htm
17. US Department of Veterans Affairs, Office of Inspector General (OIG). Veterans Health Administration. Review of resident and part-time physician time and attendance at the Oklahoma City VA Health Care System. OIG report 17-00253-93. March 28, 2018. Accessed March 1, 2024. https://www.oversight.gov/sites/default/files/oig-reports/VAOIG-17-00253-93.pdf
18. VA health care: actions needed to improve oversight of graduate medical education reimbursement. Report to the ranking member, Committee on Veterans’ Affairs, House of Representatives. GAO-20-553. July 2020. Accessed March 1, 2024. https://www.gao.gov/assets/710/708275.pdf
19. Functions of Veterans Health Administration: in general, 38 USC §7301 (2022). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/USCODE-2022-title38/pdf/USCODE-2022-title38-partV-chap73-subchapI-sec7301.pdf
20. US Department of Veterans Affairs. Policy memorandum no. 2, policy in association of veterans’ hospitals with medical schools. January 30, 1946.
21. Veterans Health Care Expansion Act of 1973, Public Law 93-82. August 2, 1973. Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/STATUTE-87/pdf/STATUTE-87-Pg179.pdf
22. Residencies and internships, 38 USC § 7406 (2022). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/USCODE-2022-title38/pdf/USCODE-2022-title38-partV-chap74-subchapI-sec7406.pdf
23. Direct graduate medical education (DGME). Centers for Medicaid and Medicare Services. Updated December 5, 2023. Accessed March 1, 2024. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/DGME
24. Drezdzon MK, Cowley NJ, Sweeney DP, et al. Going for broke: the impact of cost of living on surgery resident stipend value. Ann Surg. 2023;278(6):1053-1059. doi:10.1097/SLA.0000000000005923
25. Special treatment: hospitals that incur indirect costs for graduate medical education programs, 42 CFR § 412.105 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec412-105.pdf
26. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1400.05, Disbursement agreements for health professions trainees appointed under 38 U.S.C. § 7406. June 2, 2021. Accessed March 1, 2024. https://www.va.gov/vhapublications/ViewPublication.asp?pub_ID=9293
27. Harada ND, Sanders KM, Bowman MA. Health systems education leadership: learning from the VA designated education officer role. Fed Pract. 2022;39(6):266-273. doi:10.12788/fp.0278
28. Schleiter Hitchell K, Johnson L. CMS finalizes rules for distribution of 1000 new Medicare-funded residency positions and changes to rural training track programs. J Grad Med Educ. 2022;14(2):245-249. doi:10.4300/JGME-D-22-00193.1
29. US Department of Veterans Affairs, Veterans Health Administration. VHA Directive 1400.10, Educational cost contracts for health professions education. September 25, 2023. Accessed March 1, 2024. https://www.va.gov/VHAPUBLICATIONS/ViewPublication.asp?pub_ID=11480
30. Direct GME payments: general requirements, 42 CFR § 413.75 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec413-75.pdf
31. Direct GME payments: determination of the total number of FTE residents, 42 CFR § 413.78 (2023). Accessed March 1, 2024. https://www.govinfo.gov/content/pkg/CFR-2023-title42-vol2/pdf/CFR-2023-title42-vol2-sec413-78.pdf
32. US Department of Health and Human Services, Centers for Medicare and Medicaid Services. Medicare financial management manual, chapter 8. Contractor procedures for provider audits. Accessed March 1, 2024. https://www.cms.gov/regulations-and-guidance/guidance/manuals/downloads/fin106c08.pdf
33. US Department of Health and Human Services, Office of Inspector General. CMS did not always ensure hospitals complied with Medicare reimbursement requirements for graduate medical education. OIG report A-02-17-01017. November 2018. Accessed March 1, 2024. https://oig.hhs.gov/oas/reports/region2/21701017.pdf
34. US Department of Health and Human Services, Centers for Medicare and Medicaid Services. Interns and Residents Information System (IRIS) XML format. Publication 100-20. Transmittal 11418. Change request 12724. May 19, 2022. Accessed March 1, 2024. https://www.hhs.gov/guidance/sites/default/files/hhs-guidance-documents/R11418OTN.pdf
35. Birnbaum AD, Byrne J, on behalf of the VA Office of Academic Affiliations. VHA Updates: Disbursement Policy and Education Cost Contracts. Presented at: American Association of Medical Colleges Webinar; June 2021. Accessed March 1, 2024. https://vimeo.com/644415670
36. Byrne JM, on behalf of the VA Office of Academic Affiliations. Disbursement procedures update for AY 23-24. Accessed March 1, 2024. https://www.va.gov/oaa/Videos/AffiliatePresentationDisbursementandEARsAY23-24.pptx
Will the new US Department of Veterans Affairs (VA) pharmacy software be safe and effective? That was the topic when David Case, the VA Deputy Inspector General, spoke in the US House of Representatives Veterans Affairs Committee technology modernization subcommittee hearing on February 15.
Questions like that have dogged the project since 2018, when the VA began rolling out the Oracle Cerner electronic health record (EHR) system as the successor to ViSTA.
The Oracle system has been beset by one glitch after another since its arrival.And in that time, Case said, the VA Office of Inspector General (OIG) has been engaging with VA employees at sites in Washington, Oregon, Ohio, Illinois, and other locations where the modernization program has been piloted.
The most recent OIG investigation of pharmacy-related patient safety issues began with a review of an allegation of a prescription backlog at Columbus, Ohio, where the systemwent live on April 30, 2022. The OIG found that facility leaders took “timely and sustainable steps” to manage that issue. However, other unresolved patient safety issues came to light, such as medication inaccuracies, inaccurate medication data, and insufficient staffing. The OIG also found staff were creating “numerous work arounds” to provide patient care, and that the volume of staff educational materials for pharmacy-related functions was “overwhelming.”
Those problems were just the latest in a long queue. In May 2021, after the first VA deployment of the new EHR at the Mann-Grandstaff VA Medical Center in Spokane, Washington, a pharmacy patient safety team under the VA National Center for Patient Safety (NCPS) also had identified patient safety issues and “multiple” concerns regarding the system’s usability. For example, updates to a patient’s active medication list were not routinely reflected at the patient’s next appointment. Despite knowing about such challenges, Case noted in his report, VA leaders deployed the new EHR at 4 more VA medical centers.
Cerner/ViSTA Communication
One major cause of the current problems is the way the systems “talk” to each other. EHR information is communicated between VHA facilities through channels that include the Joint Longitudinal Viewer (JLV) and the Health Data Repository, which stores patient-specific clinical information from both the legacy and the new EHR systems. The JLV application allows clinicians to access a read only version of a patient’s EHR from both systems.
Every medication used in VHA has a VA Unique Identifier (VUID). When a patient is prescribed a medication at a new EHR site, that medication’s VUID is sent to the Health Data Repository. If that patient seeks care from a legacy health care practitioner (HCP), and that HCP enters a medication order, a software interface accesses the VUID from the Health Data Repository to verify that the medication being prescribed is safe and compatible with the medications and allergies previously documented in the patient’s record.
However, on March 31, 2023, staff from a ViSTA site found an incorrect medication order when prescribing a new medication to a patient who had received care and medications at a new EHR site. This in turn led to the discovery that an error in Oracle software coding had resulted in the “widespread transmission” of incorrect VUIDs from new EHR sites to legacy EHR sites, the OIG found. VA leaders and HCPs were notified of the potential clinical impact and were given specific instructions on how to mitigate the issue. They were asked to “please share widely.”
On top of that, days later, patient safety managers across the Veterans Health Administration (VHA) were told that drug-to-drug interactions, duplicate medication orders, and allergy checks were not functioning as expected, and they too were provided with remedial actions.
Oracle applied a successful software patch on in April 2023, to ensure accurate VUIDs were attached to all mail order pharmacy–processed prescriptions from that date forward. However, the OIG learned the incorrect VUIDs sent from new EHR sites and stored in the Health Data Repository from as far back as October 2020 had not been corrected. Case told the subcommittee that on November 29, 2023, the VHA Pharmacy Council reported withdrawing a request for Oracle to send corrected medication VUID data to the Health Data Repository, on the presumption that remaining inaccurate VUIDs would expire in early April 2024, and the data would be corrected at that time.
The OIG is concerned, Case said, that patient medication data remains inaccurate almost a year after VA learned of the issue. The mail order pharmacy-related data generated from approximately 120,000 patients served by new EHR sites are still incorrect. These patients face an ongoing risk of an adverse medication-related event if they receive care and medications from a VA medical center using the legacy EHR system.
The OIG also learned of other problems associated with transmission of medication and allergy information, which could have consequences such as:
Patient medications being discontinued or stopped by new HCPs using Cerner that appear in ViSTA as active and current prescriptions;
Allergy-warning messages not appearing when intended or inappropriately appearing for the wrong medication;
Duplicate medication order checks not appearing when intended or inappropriately appearing for the wrong drug;
Patient active medication lists having incomplete or inaccurate information, such as missing prescriptions, duplicate prescriptions, or incorrect medication order statuses.
The OIG warned VHA employees about the risks, although it wasn’t possible to determine who might actually be at risk. A VHA leader told the OIG that all patients who have been prescribed any medications or have medication allergies documented at a at a Cerner site are at risk. That could mean as many as 250,000 patients: As of September 2023, approximately 190,000 patients had a medication prescribed and 126,000 had an allergy documented at a new EHR site.
Case Example
Not surprisingly, “the OIG is not confident in [EHRM-Integration Office] leaders’ oversight and control of the new systems’ Health Data Repository interface programming,” Case said. He cited the case of a patient with posttraumatic stress disorder and traumatic brain injury with adrenal insufficiency. Four days prior to admission, a ViSTA site pharmacist used the EHR to perform a medication reconciliation for the patient. The data available did not include the patient’s most recent prednisone prescription, which had been ordered by an HCP at a facility using Cerner.
A nurse practitioner performed another reconciliation when the patient was admitted to the residential program, but the patient was unsure of all their medications. Because the most recent prednisone prescription was not visible in ViSTA, the prednisone appeared to have been completed at least 3 months prior to admission and was therefore not prescribed in the admission medication orders.
Five days into the residential program, the patient began exhibiting unusual behaviors associated with the lack of prednisone. The patient realized they needed more prednisone, but the nurse explained there was no prednisone on the patient’s medication list. Eventually, the patient found the active prednisone order on their personal cell phone and was transferred to a local emergency department for care.
Work Arounds
The VHA’s efforts to forestall or mitigate system errors have in some cases had a cascade effect. For example, HCPs must essentially back up what the automated software is intended to do, with “complex, time-consuming” multistep manual safety checks when prescribing new medications for patients previously cared for at a Cerner site. The OIG is concerned that this increased vigilance is “unsustainable” by pharmacists and frontline staff and could lead to burnout and medication-related patient safety events. After the new EHR launched, the OIG found, burnout symptoms for pharmacy staff increased. Nonetheless, Case told the committee, OIG staff “have observed [employees’] unwavering commitment to prioritizing the care of patients while mitigating implementation challenges.”
EHR-related workload burdens have necessitated other adjustments. Columbus, for instance, hired 9 full-time clinical pharmacists—a 62% staffing increase—to help reduce the backlog. Pharmacy leaders created approximately 29 additional work-arounds to support pharmacy staff and prevent delays. Facility pharmacy leaders also developed approximately 25 educational materials, such as tip sheets, reference guides, and job aids. The OIG’s concern—apart from the overwhelming amount of information for staff to implement—is that such prophylactic measures may in fact give rise to inconsistent practices, which increase risks to patient safety.
Committed to Working With the VA
Mike Sicilia, executive vice president of Oracle Corporation, told lawmakers in the hearing, “After the initial deployments, it became clear that the pharmacy system needed to be enhanced to better meet VA’s needs. To that end, in August 2022, shortly after Oracle completed its acquisition of Cerner, VA contracted with us for seven enhancements that overall would adapt the pharmacy system to a more bidirectional system between VA providers placing prescription orders and VA pharmacists fulfilling and dispensing them.” Those enhancements are all live for VA providers and pharmacists to use now, he said, except for one that is undergoing additional testing.
He added, “As with any healthcare technology system, there is a need for continuous improvements but that does not mean the system is not safe and effective in its current state. Oracle is committed to working with VA … throughout the reset period to identify workflows and other items that can be simplified or streamlined to improve the overall user and pharmacy experience.”
Standardizing workflows and ensuring training and communications to pharmacists about the latest updates will discourage use of work-arounds, Sicilia said, and “help with improving morale and satisfaction with the system.” During a visit in early February by VA and the Oracle team to the Lovell Federal Health Care Center in North Chicago, “feedback from pharmacists was positive about the training and readiness for using the new pharmacy system.”
The backlog, at least, may be resolved. Sicilia said on average more than 215,000 outpatient prescriptions are being filled each month. “The current live sites do not have a backlog in filling prescriptions. Recent data from this month show that three of the five live sites have zero prescriptions waiting to be processed that are older than seven days. The two other live sites have an average of two prescriptions older than seven days,” he said.
Although Oracle Health has since resolved some of the identified issues, the OIG is concerned that the new EHR will continue to be deployed at medical facilities despite “myriad” as-yet unresolved issues related to inaccurate medication ordering, reconciliation, and dispensing. The VHA has paused Cerner deployments multiple times.
“It is unclear whether identified problems are being adequately resolved before additional deployments,” Case said. “There is also the question of whether there is sufficient transparency and communication among EHRM-IO, VHA and facility leaders, VA leaders, and Oracle Health needed for quality control and critical coordination. Trust in VA is also dependent on patients being fully and quickly advised when issues affecting them are identified and addressed. As VA moves toward its deployment next month at a complex facility jointly operated with the Department of Defense, transparency, communication, and program management will be essential to getting it right. Failures in these areas risk cascading problems.”
Will the new US Department of Veterans Affairs (VA) pharmacy software be safe and effective? That was the topic when David Case, the VA Deputy Inspector General, spoke in the US House of Representatives Veterans Affairs Committee technology modernization subcommittee hearing on February 15.
Questions like that have dogged the project since 2018, when the VA began rolling out the Oracle Cerner electronic health record (EHR) system as the successor to ViSTA.
The Oracle system has been beset by one glitch after another since its arrival.And in that time, Case said, the VA Office of Inspector General (OIG) has been engaging with VA employees at sites in Washington, Oregon, Ohio, Illinois, and other locations where the modernization program has been piloted.
The most recent OIG investigation of pharmacy-related patient safety issues began with a review of an allegation of a prescription backlog at Columbus, Ohio, where the systemwent live on April 30, 2022. The OIG found that facility leaders took “timely and sustainable steps” to manage that issue. However, other unresolved patient safety issues came to light, such as medication inaccuracies, inaccurate medication data, and insufficient staffing. The OIG also found staff were creating “numerous work arounds” to provide patient care, and that the volume of staff educational materials for pharmacy-related functions was “overwhelming.”
Those problems were just the latest in a long queue. In May 2021, after the first VA deployment of the new EHR at the Mann-Grandstaff VA Medical Center in Spokane, Washington, a pharmacy patient safety team under the VA National Center for Patient Safety (NCPS) also had identified patient safety issues and “multiple” concerns regarding the system’s usability. For example, updates to a patient’s active medication list were not routinely reflected at the patient’s next appointment. Despite knowing about such challenges, Case noted in his report, VA leaders deployed the new EHR at 4 more VA medical centers.
Cerner/ViSTA Communication
One major cause of the current problems is the way the systems “talk” to each other. EHR information is communicated between VHA facilities through channels that include the Joint Longitudinal Viewer (JLV) and the Health Data Repository, which stores patient-specific clinical information from both the legacy and the new EHR systems. The JLV application allows clinicians to access a read only version of a patient’s EHR from both systems.
Every medication used in VHA has a VA Unique Identifier (VUID). When a patient is prescribed a medication at a new EHR site, that medication’s VUID is sent to the Health Data Repository. If that patient seeks care from a legacy health care practitioner (HCP), and that HCP enters a medication order, a software interface accesses the VUID from the Health Data Repository to verify that the medication being prescribed is safe and compatible with the medications and allergies previously documented in the patient’s record.
However, on March 31, 2023, staff from a ViSTA site found an incorrect medication order when prescribing a new medication to a patient who had received care and medications at a new EHR site. This in turn led to the discovery that an error in Oracle software coding had resulted in the “widespread transmission” of incorrect VUIDs from new EHR sites to legacy EHR sites, the OIG found. VA leaders and HCPs were notified of the potential clinical impact and were given specific instructions on how to mitigate the issue. They were asked to “please share widely.”
On top of that, days later, patient safety managers across the Veterans Health Administration (VHA) were told that drug-to-drug interactions, duplicate medication orders, and allergy checks were not functioning as expected, and they too were provided with remedial actions.
Oracle applied a successful software patch on in April 2023, to ensure accurate VUIDs were attached to all mail order pharmacy–processed prescriptions from that date forward. However, the OIG learned the incorrect VUIDs sent from new EHR sites and stored in the Health Data Repository from as far back as October 2020 had not been corrected. Case told the subcommittee that on November 29, 2023, the VHA Pharmacy Council reported withdrawing a request for Oracle to send corrected medication VUID data to the Health Data Repository, on the presumption that remaining inaccurate VUIDs would expire in early April 2024, and the data would be corrected at that time.
The OIG is concerned, Case said, that patient medication data remains inaccurate almost a year after VA learned of the issue. The mail order pharmacy-related data generated from approximately 120,000 patients served by new EHR sites are still incorrect. These patients face an ongoing risk of an adverse medication-related event if they receive care and medications from a VA medical center using the legacy EHR system.
The OIG also learned of other problems associated with transmission of medication and allergy information, which could have consequences such as:
Patient medications being discontinued or stopped by new HCPs using Cerner that appear in ViSTA as active and current prescriptions;
Allergy-warning messages not appearing when intended or inappropriately appearing for the wrong medication;
Duplicate medication order checks not appearing when intended or inappropriately appearing for the wrong drug;
Patient active medication lists having incomplete or inaccurate information, such as missing prescriptions, duplicate prescriptions, or incorrect medication order statuses.
The OIG warned VHA employees about the risks, although it wasn’t possible to determine who might actually be at risk. A VHA leader told the OIG that all patients who have been prescribed any medications or have medication allergies documented at a at a Cerner site are at risk. That could mean as many as 250,000 patients: As of September 2023, approximately 190,000 patients had a medication prescribed and 126,000 had an allergy documented at a new EHR site.
Case Example
Not surprisingly, “the OIG is not confident in [EHRM-Integration Office] leaders’ oversight and control of the new systems’ Health Data Repository interface programming,” Case said. He cited the case of a patient with posttraumatic stress disorder and traumatic brain injury with adrenal insufficiency. Four days prior to admission, a ViSTA site pharmacist used the EHR to perform a medication reconciliation for the patient. The data available did not include the patient’s most recent prednisone prescription, which had been ordered by an HCP at a facility using Cerner.
A nurse practitioner performed another reconciliation when the patient was admitted to the residential program, but the patient was unsure of all their medications. Because the most recent prednisone prescription was not visible in ViSTA, the prednisone appeared to have been completed at least 3 months prior to admission and was therefore not prescribed in the admission medication orders.
Five days into the residential program, the patient began exhibiting unusual behaviors associated with the lack of prednisone. The patient realized they needed more prednisone, but the nurse explained there was no prednisone on the patient’s medication list. Eventually, the patient found the active prednisone order on their personal cell phone and was transferred to a local emergency department for care.
Work Arounds
The VHA’s efforts to forestall or mitigate system errors have in some cases had a cascade effect. For example, HCPs must essentially back up what the automated software is intended to do, with “complex, time-consuming” multistep manual safety checks when prescribing new medications for patients previously cared for at a Cerner site. The OIG is concerned that this increased vigilance is “unsustainable” by pharmacists and frontline staff and could lead to burnout and medication-related patient safety events. After the new EHR launched, the OIG found, burnout symptoms for pharmacy staff increased. Nonetheless, Case told the committee, OIG staff “have observed [employees’] unwavering commitment to prioritizing the care of patients while mitigating implementation challenges.”
EHR-related workload burdens have necessitated other adjustments. Columbus, for instance, hired 9 full-time clinical pharmacists—a 62% staffing increase—to help reduce the backlog. Pharmacy leaders created approximately 29 additional work-arounds to support pharmacy staff and prevent delays. Facility pharmacy leaders also developed approximately 25 educational materials, such as tip sheets, reference guides, and job aids. The OIG’s concern—apart from the overwhelming amount of information for staff to implement—is that such prophylactic measures may in fact give rise to inconsistent practices, which increase risks to patient safety.
Committed to Working With the VA
Mike Sicilia, executive vice president of Oracle Corporation, told lawmakers in the hearing, “After the initial deployments, it became clear that the pharmacy system needed to be enhanced to better meet VA’s needs. To that end, in August 2022, shortly after Oracle completed its acquisition of Cerner, VA contracted with us for seven enhancements that overall would adapt the pharmacy system to a more bidirectional system between VA providers placing prescription orders and VA pharmacists fulfilling and dispensing them.” Those enhancements are all live for VA providers and pharmacists to use now, he said, except for one that is undergoing additional testing.
He added, “As with any healthcare technology system, there is a need for continuous improvements but that does not mean the system is not safe and effective in its current state. Oracle is committed to working with VA … throughout the reset period to identify workflows and other items that can be simplified or streamlined to improve the overall user and pharmacy experience.”
Standardizing workflows and ensuring training and communications to pharmacists about the latest updates will discourage use of work-arounds, Sicilia said, and “help with improving morale and satisfaction with the system.” During a visit in early February by VA and the Oracle team to the Lovell Federal Health Care Center in North Chicago, “feedback from pharmacists was positive about the training and readiness for using the new pharmacy system.”
The backlog, at least, may be resolved. Sicilia said on average more than 215,000 outpatient prescriptions are being filled each month. “The current live sites do not have a backlog in filling prescriptions. Recent data from this month show that three of the five live sites have zero prescriptions waiting to be processed that are older than seven days. The two other live sites have an average of two prescriptions older than seven days,” he said.
Although Oracle Health has since resolved some of the identified issues, the OIG is concerned that the new EHR will continue to be deployed at medical facilities despite “myriad” as-yet unresolved issues related to inaccurate medication ordering, reconciliation, and dispensing. The VHA has paused Cerner deployments multiple times.
“It is unclear whether identified problems are being adequately resolved before additional deployments,” Case said. “There is also the question of whether there is sufficient transparency and communication among EHRM-IO, VHA and facility leaders, VA leaders, and Oracle Health needed for quality control and critical coordination. Trust in VA is also dependent on patients being fully and quickly advised when issues affecting them are identified and addressed. As VA moves toward its deployment next month at a complex facility jointly operated with the Department of Defense, transparency, communication, and program management will be essential to getting it right. Failures in these areas risk cascading problems.”
Will the new US Department of Veterans Affairs (VA) pharmacy software be safe and effective? That was the topic when David Case, the VA Deputy Inspector General, spoke in the US House of Representatives Veterans Affairs Committee technology modernization subcommittee hearing on February 15.
Questions like that have dogged the project since 2018, when the VA began rolling out the Oracle Cerner electronic health record (EHR) system as the successor to ViSTA.
The Oracle system has been beset by one glitch after another since its arrival.And in that time, Case said, the VA Office of Inspector General (OIG) has been engaging with VA employees at sites in Washington, Oregon, Ohio, Illinois, and other locations where the modernization program has been piloted.
The most recent OIG investigation of pharmacy-related patient safety issues began with a review of an allegation of a prescription backlog at Columbus, Ohio, where the systemwent live on April 30, 2022. The OIG found that facility leaders took “timely and sustainable steps” to manage that issue. However, other unresolved patient safety issues came to light, such as medication inaccuracies, inaccurate medication data, and insufficient staffing. The OIG also found staff were creating “numerous work arounds” to provide patient care, and that the volume of staff educational materials for pharmacy-related functions was “overwhelming.”
Those problems were just the latest in a long queue. In May 2021, after the first VA deployment of the new EHR at the Mann-Grandstaff VA Medical Center in Spokane, Washington, a pharmacy patient safety team under the VA National Center for Patient Safety (NCPS) also had identified patient safety issues and “multiple” concerns regarding the system’s usability. For example, updates to a patient’s active medication list were not routinely reflected at the patient’s next appointment. Despite knowing about such challenges, Case noted in his report, VA leaders deployed the new EHR at 4 more VA medical centers.
Cerner/ViSTA Communication
One major cause of the current problems is the way the systems “talk” to each other. EHR information is communicated between VHA facilities through channels that include the Joint Longitudinal Viewer (JLV) and the Health Data Repository, which stores patient-specific clinical information from both the legacy and the new EHR systems. The JLV application allows clinicians to access a read only version of a patient’s EHR from both systems.
Every medication used in VHA has a VA Unique Identifier (VUID). When a patient is prescribed a medication at a new EHR site, that medication’s VUID is sent to the Health Data Repository. If that patient seeks care from a legacy health care practitioner (HCP), and that HCP enters a medication order, a software interface accesses the VUID from the Health Data Repository to verify that the medication being prescribed is safe and compatible with the medications and allergies previously documented in the patient’s record.
However, on March 31, 2023, staff from a ViSTA site found an incorrect medication order when prescribing a new medication to a patient who had received care and medications at a new EHR site. This in turn led to the discovery that an error in Oracle software coding had resulted in the “widespread transmission” of incorrect VUIDs from new EHR sites to legacy EHR sites, the OIG found. VA leaders and HCPs were notified of the potential clinical impact and were given specific instructions on how to mitigate the issue. They were asked to “please share widely.”
On top of that, days later, patient safety managers across the Veterans Health Administration (VHA) were told that drug-to-drug interactions, duplicate medication orders, and allergy checks were not functioning as expected, and they too were provided with remedial actions.
Oracle applied a successful software patch on in April 2023, to ensure accurate VUIDs were attached to all mail order pharmacy–processed prescriptions from that date forward. However, the OIG learned the incorrect VUIDs sent from new EHR sites and stored in the Health Data Repository from as far back as October 2020 had not been corrected. Case told the subcommittee that on November 29, 2023, the VHA Pharmacy Council reported withdrawing a request for Oracle to send corrected medication VUID data to the Health Data Repository, on the presumption that remaining inaccurate VUIDs would expire in early April 2024, and the data would be corrected at that time.
The OIG is concerned, Case said, that patient medication data remains inaccurate almost a year after VA learned of the issue. The mail order pharmacy-related data generated from approximately 120,000 patients served by new EHR sites are still incorrect. These patients face an ongoing risk of an adverse medication-related event if they receive care and medications from a VA medical center using the legacy EHR system.
The OIG also learned of other problems associated with transmission of medication and allergy information, which could have consequences such as:
Patient medications being discontinued or stopped by new HCPs using Cerner that appear in ViSTA as active and current prescriptions;
Allergy-warning messages not appearing when intended or inappropriately appearing for the wrong medication;
Duplicate medication order checks not appearing when intended or inappropriately appearing for the wrong drug;
Patient active medication lists having incomplete or inaccurate information, such as missing prescriptions, duplicate prescriptions, or incorrect medication order statuses.
The OIG warned VHA employees about the risks, although it wasn’t possible to determine who might actually be at risk. A VHA leader told the OIG that all patients who have been prescribed any medications or have medication allergies documented at a at a Cerner site are at risk. That could mean as many as 250,000 patients: As of September 2023, approximately 190,000 patients had a medication prescribed and 126,000 had an allergy documented at a new EHR site.
Case Example
Not surprisingly, “the OIG is not confident in [EHRM-Integration Office] leaders’ oversight and control of the new systems’ Health Data Repository interface programming,” Case said. He cited the case of a patient with posttraumatic stress disorder and traumatic brain injury with adrenal insufficiency. Four days prior to admission, a ViSTA site pharmacist used the EHR to perform a medication reconciliation for the patient. The data available did not include the patient’s most recent prednisone prescription, which had been ordered by an HCP at a facility using Cerner.
A nurse practitioner performed another reconciliation when the patient was admitted to the residential program, but the patient was unsure of all their medications. Because the most recent prednisone prescription was not visible in ViSTA, the prednisone appeared to have been completed at least 3 months prior to admission and was therefore not prescribed in the admission medication orders.
Five days into the residential program, the patient began exhibiting unusual behaviors associated with the lack of prednisone. The patient realized they needed more prednisone, but the nurse explained there was no prednisone on the patient’s medication list. Eventually, the patient found the active prednisone order on their personal cell phone and was transferred to a local emergency department for care.
Work Arounds
The VHA’s efforts to forestall or mitigate system errors have in some cases had a cascade effect. For example, HCPs must essentially back up what the automated software is intended to do, with “complex, time-consuming” multistep manual safety checks when prescribing new medications for patients previously cared for at a Cerner site. The OIG is concerned that this increased vigilance is “unsustainable” by pharmacists and frontline staff and could lead to burnout and medication-related patient safety events. After the new EHR launched, the OIG found, burnout symptoms for pharmacy staff increased. Nonetheless, Case told the committee, OIG staff “have observed [employees’] unwavering commitment to prioritizing the care of patients while mitigating implementation challenges.”
EHR-related workload burdens have necessitated other adjustments. Columbus, for instance, hired 9 full-time clinical pharmacists—a 62% staffing increase—to help reduce the backlog. Pharmacy leaders created approximately 29 additional work-arounds to support pharmacy staff and prevent delays. Facility pharmacy leaders also developed approximately 25 educational materials, such as tip sheets, reference guides, and job aids. The OIG’s concern—apart from the overwhelming amount of information for staff to implement—is that such prophylactic measures may in fact give rise to inconsistent practices, which increase risks to patient safety.
Committed to Working With the VA
Mike Sicilia, executive vice president of Oracle Corporation, told lawmakers in the hearing, “After the initial deployments, it became clear that the pharmacy system needed to be enhanced to better meet VA’s needs. To that end, in August 2022, shortly after Oracle completed its acquisition of Cerner, VA contracted with us for seven enhancements that overall would adapt the pharmacy system to a more bidirectional system between VA providers placing prescription orders and VA pharmacists fulfilling and dispensing them.” Those enhancements are all live for VA providers and pharmacists to use now, he said, except for one that is undergoing additional testing.
He added, “As with any healthcare technology system, there is a need for continuous improvements but that does not mean the system is not safe and effective in its current state. Oracle is committed to working with VA … throughout the reset period to identify workflows and other items that can be simplified or streamlined to improve the overall user and pharmacy experience.”
Standardizing workflows and ensuring training and communications to pharmacists about the latest updates will discourage use of work-arounds, Sicilia said, and “help with improving morale and satisfaction with the system.” During a visit in early February by VA and the Oracle team to the Lovell Federal Health Care Center in North Chicago, “feedback from pharmacists was positive about the training and readiness for using the new pharmacy system.”
The backlog, at least, may be resolved. Sicilia said on average more than 215,000 outpatient prescriptions are being filled each month. “The current live sites do not have a backlog in filling prescriptions. Recent data from this month show that three of the five live sites have zero prescriptions waiting to be processed that are older than seven days. The two other live sites have an average of two prescriptions older than seven days,” he said.
Although Oracle Health has since resolved some of the identified issues, the OIG is concerned that the new EHR will continue to be deployed at medical facilities despite “myriad” as-yet unresolved issues related to inaccurate medication ordering, reconciliation, and dispensing. The VHA has paused Cerner deployments multiple times.
“It is unclear whether identified problems are being adequately resolved before additional deployments,” Case said. “There is also the question of whether there is sufficient transparency and communication among EHRM-IO, VHA and facility leaders, VA leaders, and Oracle Health needed for quality control and critical coordination. Trust in VA is also dependent on patients being fully and quickly advised when issues affecting them are identified and addressed. As VA moves toward its deployment next month at a complex facility jointly operated with the Department of Defense, transparency, communication, and program management will be essential to getting it right. Failures in these areas risk cascading problems.”