Oncology

Background

Accurate clinical coding that reflects all diagnoses and problems addressed during a patient encounter is essential for the cancer program’s data quality, research initiatives, and securing VERA (Veterans Equitable Resource Allocation) funding. However, providers often face barriers such as limited time during patient visits and difficulty navigating Electronic health record (EHR) systems. These challenges lead to inaccurate coding, which undermines downstream data integrity. This quality improvement (QI) study aimed to identify these barriers and implement an intervention to improve coding accuracy, while also assessing the financial implications of improved documentation.

Methods

This QI study was conducted at the Albany Stratton VA Medical Center, focusing on hematology/ oncology outpatient encounters. A baseline chart audit of diagnosis codes from June 2023 revealed an accuracy rate of 69.8%. To address this, an intervention was implemented in which dedicated coders were assigned to support attending physicians in coding for over a two-week period. These coders reviewed and corrected diagnosis codes in real-time. A follow-up audit conducted after the intervention showed an improved coding accuracy of 82%.

Discussion/Implications

Coding remains a timeconsuming task for providers, made more difficult by EHR systems that are not user-friendly. This study demonstrated that involving dedicated coders significantly improves documentation accuracy—from 69% to 82%. In addition to data quality, the financial benefits are notable. A projected annual return on investment of $216,094 was calculated, based on an internal analysis showing that in a sample of 124 patients, 10% could have qualified for higher VERA funding based on accurate coding, generating an estimated $17,427 in additional reimbursement per patient. This cost-benefit ratio supports the recommendation to staff dedicated coders. Other interventions were also utilised, such as updating the national encounter form and auto-populating documentation in Dragon software, but had limited impact and did not directly address diagnosis accuracy respectively.

Conclusions

Targeted interventions improved coding accuracy, but sustainability remains a challenge due to time and system limitations. Future efforts should focus on hiring full-time coders. These steps can further enhance coding quality and potentially increase hospital revenue.

Background

Accurate clinical coding that reflects all diagnoses and problems addressed during a patient encounter is essential for the cancer program’s data quality, research initiatives, and securing VERA (Veterans Equitable Resource Allocation) funding. However, providers often face barriers such as limited time during patient visits and difficulty navigating Electronic health record (EHR) systems. These challenges lead to inaccurate coding, which undermines downstream data integrity. This quality improvement (QI) study aimed to identify these barriers and implement an intervention to improve coding accuracy, while also assessing the financial implications of improved documentation.

Methods

This QI study was conducted at the Albany Stratton VA Medical Center, focusing on hematology/ oncology outpatient encounters. A baseline chart audit of diagnosis codes from June 2023 revealed an accuracy rate of 69.8%. To address this, an intervention was implemented in which dedicated coders were assigned to support attending physicians in coding for over a two-week period. These coders reviewed and corrected diagnosis codes in real-time. A follow-up audit conducted after the intervention showed an improved coding accuracy of 82%.

Discussion/Implications

Coding remains a timeconsuming task for providers, made more difficult by EHR systems that are not user-friendly. This study demonstrated that involving dedicated coders significantly improves documentation accuracy—from 69% to 82%. In addition to data quality, the financial benefits are notable. A projected annual return on investment of $216,094 was calculated, based on an internal analysis showing that in a sample of 124 patients, 10% could have qualified for higher VERA funding based on accurate coding, generating an estimated $17,427 in additional reimbursement per patient. This cost-benefit ratio supports the recommendation to staff dedicated coders. Other interventions were also utilised, such as updating the national encounter form and auto-populating documentation in Dragon software, but had limited impact and did not directly address diagnosis accuracy respectively.

Conclusions

Targeted interventions improved coding accuracy, but sustainability remains a challenge due to time and system limitations. Future efforts should focus on hiring full-time coders. These steps can further enhance coding quality and potentially increase hospital revenue.

Background

Accurate clinical coding that reflects all diagnoses and problems addressed during a patient encounter is essential for the cancer program’s data quality, research initiatives, and securing VERA (Veterans Equitable Resource Allocation) funding. However, providers often face barriers such as limited time during patient visits and difficulty navigating Electronic health record (EHR) systems. These challenges lead to inaccurate coding, which undermines downstream data integrity. This quality improvement (QI) study aimed to identify these barriers and implement an intervention to improve coding accuracy, while also assessing the financial implications of improved documentation.

Methods

This QI study was conducted at the Albany Stratton VA Medical Center, focusing on hematology/ oncology outpatient encounters. A baseline chart audit of diagnosis codes from June 2023 revealed an accuracy rate of 69.8%. To address this, an intervention was implemented in which dedicated coders were assigned to support attending physicians in coding for over a two-week period. These coders reviewed and corrected diagnosis codes in real-time. A follow-up audit conducted after the intervention showed an improved coding accuracy of 82%.

Discussion/Implications

Coding remains a timeconsuming task for providers, made more difficult by EHR systems that are not user-friendly. This study demonstrated that involving dedicated coders significantly improves documentation accuracy—from 69% to 82%. In addition to data quality, the financial benefits are notable. A projected annual return on investment of $216,094 was calculated, based on an internal analysis showing that in a sample of 124 patients, 10% could have qualified for higher VERA funding based on accurate coding, generating an estimated $17,427 in additional reimbursement per patient. This cost-benefit ratio supports the recommendation to staff dedicated coders. Other interventions were also utilised, such as updating the national encounter form and auto-populating documentation in Dragon software, but had limited impact and did not directly address diagnosis accuracy respectively.

Conclusions

Targeted interventions improved coding accuracy, but sustainability remains a challenge due to time and system limitations. Future efforts should focus on hiring full-time coders. These steps can further enhance coding quality and potentially increase hospital revenue.

Purpose

The Veterans Affairs Central Cancer Registry (VACCR) is a data management system for cancer surveillance and epidemiologic-based efforts, seeking to reduce the overall cancer burden. In 2024, the local VACCR successfully implemented a Structured Query Language (SQL) code, created to identify documents in the electronic medical record (EMR) with associated ICD-10 codes matching reportable cancer cases in the Surveillance, Epidemiology, and End Results (SEER) list. In 2025, code application expansion began at four additional VISN9 sites.

Outcomes Studied

Accuracy and usefulness of SQL code application in a significantly larger population and a diagnosis-specific population.

Methods

Local Cancer Program leadership collaborated with VISN9 leadership to expand the SQL code to the four sites’ EMR, identifying the Veteran’s name, social security number, location by city/state/county, and visit-associated data including location, ICD-10 code, and visit year. Data validation focused on ICD- 10-specific data and quality replication.

Results

After SQL code application to Mt Home TN VACCR data, 750 unique, randomized charts from 2015-2025 were selected for accuracy review. Data validation found that 90.5% (679) had a reportable cancer; 14.9% (112) were not entered into VACCR. 9.5% (71) were not reportable. The SQL code was applied to Lexington data to identify colorectal cancer (CRC) (ICD-10 codes C17-C21.9). 746 charts from 2015-2025 were identified. 88.9% (663) had a reportable CRC; 14.9% (111) of those were not entered into VACCR, and 11% (83) were not reportable. Most cases not entered into VACCR at both sites were cases in which the majority of care was provided through Care in the Community (CITC). Historically, identification of CITC-provided oncologic care has been manual and notoriously difficult.

Conclusions

This study demonstrated the feasibility and accuracy of the SQL code in the identification of Veterans with diagnoses matching the SEER list in a large population and at a diagnosis-specific level. VISN-wide use of the report will increase efficiency and timeliness of data entry into VACCR, especially related to care provided through CITC. An improved understanding of oncologic care in the VISN would provide critical data to VISN executive leadership, enabling them to advocate for resources, targeted interventions, and access to care.

Purpose

The Veterans Affairs Central Cancer Registry (VACCR) is a data management system for cancer surveillance and epidemiologic-based efforts, seeking to reduce the overall cancer burden. In 2024, the local VACCR successfully implemented a Structured Query Language (SQL) code, created to identify documents in the electronic medical record (EMR) with associated ICD-10 codes matching reportable cancer cases in the Surveillance, Epidemiology, and End Results (SEER) list. In 2025, code application expansion began at four additional VISN9 sites.

Outcomes Studied

Accuracy and usefulness of SQL code application in a significantly larger population and a diagnosis-specific population.

Methods

Local Cancer Program leadership collaborated with VISN9 leadership to expand the SQL code to the four sites’ EMR, identifying the Veteran’s name, social security number, location by city/state/county, and visit-associated data including location, ICD-10 code, and visit year. Data validation focused on ICD- 10-specific data and quality replication.

Results

After SQL code application to Mt Home TN VACCR data, 750 unique, randomized charts from 2015-2025 were selected for accuracy review. Data validation found that 90.5% (679) had a reportable cancer; 14.9% (112) were not entered into VACCR. 9.5% (71) were not reportable. The SQL code was applied to Lexington data to identify colorectal cancer (CRC) (ICD-10 codes C17-C21.9). 746 charts from 2015-2025 were identified. 88.9% (663) had a reportable CRC; 14.9% (111) of those were not entered into VACCR, and 11% (83) were not reportable. Most cases not entered into VACCR at both sites were cases in which the majority of care was provided through Care in the Community (CITC). Historically, identification of CITC-provided oncologic care has been manual and notoriously difficult.

Conclusions

This study demonstrated the feasibility and accuracy of the SQL code in the identification of Veterans with diagnoses matching the SEER list in a large population and at a diagnosis-specific level. VISN-wide use of the report will increase efficiency and timeliness of data entry into VACCR, especially related to care provided through CITC. An improved understanding of oncologic care in the VISN would provide critical data to VISN executive leadership, enabling them to advocate for resources, targeted interventions, and access to care.

Purpose

The Veterans Affairs Central Cancer Registry (VACCR) is a data management system for cancer surveillance and epidemiologic-based efforts, seeking to reduce the overall cancer burden. In 2024, the local VACCR successfully implemented a Structured Query Language (SQL) code, created to identify documents in the electronic medical record (EMR) with associated ICD-10 codes matching reportable cancer cases in the Surveillance, Epidemiology, and End Results (SEER) list. In 2025, code application expansion began at four additional VISN9 sites.

Outcomes Studied

Accuracy and usefulness of SQL code application in a significantly larger population and a diagnosis-specific population.

Methods

Local Cancer Program leadership collaborated with VISN9 leadership to expand the SQL code to the four sites’ EMR, identifying the Veteran’s name, social security number, location by city/state/county, and visit-associated data including location, ICD-10 code, and visit year. Data validation focused on ICD- 10-specific data and quality replication.

Results

After SQL code application to Mt Home TN VACCR data, 750 unique, randomized charts from 2015-2025 were selected for accuracy review. Data validation found that 90.5% (679) had a reportable cancer; 14.9% (112) were not entered into VACCR. 9.5% (71) were not reportable. The SQL code was applied to Lexington data to identify colorectal cancer (CRC) (ICD-10 codes C17-C21.9). 746 charts from 2015-2025 were identified. 88.9% (663) had a reportable CRC; 14.9% (111) of those were not entered into VACCR, and 11% (83) were not reportable. Most cases not entered into VACCR at both sites were cases in which the majority of care was provided through Care in the Community (CITC). Historically, identification of CITC-provided oncologic care has been manual and notoriously difficult.

Conclusions

This study demonstrated the feasibility and accuracy of the SQL code in the identification of Veterans with diagnoses matching the SEER list in a large population and at a diagnosis-specific level. VISN-wide use of the report will increase efficiency and timeliness of data entry into VACCR, especially related to care provided through CITC. An improved understanding of oncologic care in the VISN would provide critical data to VISN executive leadership, enabling them to advocate for resources, targeted interventions, and access to care.

Purpose

The aim of this study is to quantify the frequency of Memorial Sloan Kettering (MSK) Precision Oncology Knowledge Base (OncoKB) Level 1 genetic alterations in Veterans with various solid organ malignancies and evaluate the clinical benefit and impact of testing on treatment of these patients.

Background

The VA National Precision Oncology Program (NPOP) facilitates comprehensive genomic profiling (CGP) testing of Veterans with advanced cancer. While CGP is increasingly utilized and routinely ordered in patients with advanced solid organ malignancies, the clinical utility and value has not been proven in certain cancers. We present data from 5,979 patients with head and neck (H&N), pancreatic, hepatocellular (HCC), esophageal and kidney cancers who underwent CGP.

Methods

Our cohort consists of Veterans that received CGP testing to identify somatic variants between 1/1/2019 and 4/2/2025. Identified variants and biomarkers were formatted for use with oncoKB-annotator, a publicly available tool to annotate genomic variants with FDA approved drug recommendations stored as Level 1 annotations in OncoKB, and prescribed drugs were extracted from the Veteran Health Administration’s (VHA) Corporate Data Warehouse (CDW). Cancers were grouped by MSK’s OncoTree codes, and summary counts of Veterans tested, Veterans recommended, Veterans prescribed recommended FDA approved drugs were determined. Percentages were calculated using the total number of Veterans tested as the denominator.

Results

Level 1 OncoKB alterations were infrequent in H&N (0.94%), kidney (0.45%), HCC(0.28%), and pancreatic adenocarcinomas (1%). The frequency of Level 1 alterations in esophageal adenocarcinomas (EAC) was 20%. Approximately 98% of the Level 1 alterations in EAC patients were HER2 positivity or MSI-High status, which can be determined by other diagnostic methodologies such as IHC. The remaining 2% of EAC patients with level 1 alterations had BRAF V600E or NTRK rearrangements.

Conclusions

The incidence of level 1 genetic variants in H&N, kidney, HCC and pancreatic adenocarcinoma is very low and would very uncommonly result in clinical benefit. Although there is an expanding number of precision oncology-based therapies available, the proportion of patients with the aforementioned solid organ malignancies who benefitted from CGP was low, suggesting CGP has minimal impact on the treatment of Veterans with these malignancies.

Purpose

The aim of this study is to quantify the frequency of Memorial Sloan Kettering (MSK) Precision Oncology Knowledge Base (OncoKB) Level 1 genetic alterations in Veterans with various solid organ malignancies and evaluate the clinical benefit and impact of testing on treatment of these patients.

Background

The VA National Precision Oncology Program (NPOP) facilitates comprehensive genomic profiling (CGP) testing of Veterans with advanced cancer. While CGP is increasingly utilized and routinely ordered in patients with advanced solid organ malignancies, the clinical utility and value has not been proven in certain cancers. We present data from 5,979 patients with head and neck (H&N), pancreatic, hepatocellular (HCC), esophageal and kidney cancers who underwent CGP.

Methods

Our cohort consists of Veterans that received CGP testing to identify somatic variants between 1/1/2019 and 4/2/2025. Identified variants and biomarkers were formatted for use with oncoKB-annotator, a publicly available tool to annotate genomic variants with FDA approved drug recommendations stored as Level 1 annotations in OncoKB, and prescribed drugs were extracted from the Veteran Health Administration’s (VHA) Corporate Data Warehouse (CDW). Cancers were grouped by MSK’s OncoTree codes, and summary counts of Veterans tested, Veterans recommended, Veterans prescribed recommended FDA approved drugs were determined. Percentages were calculated using the total number of Veterans tested as the denominator.

Results

Level 1 OncoKB alterations were infrequent in H&N (0.94%), kidney (0.45%), HCC(0.28%), and pancreatic adenocarcinomas (1%). The frequency of Level 1 alterations in esophageal adenocarcinomas (EAC) was 20%. Approximately 98% of the Level 1 alterations in EAC patients were HER2 positivity or MSI-High status, which can be determined by other diagnostic methodologies such as IHC. The remaining 2% of EAC patients with level 1 alterations had BRAF V600E or NTRK rearrangements.

Conclusions

The incidence of level 1 genetic variants in H&N, kidney, HCC and pancreatic adenocarcinoma is very low and would very uncommonly result in clinical benefit. Although there is an expanding number of precision oncology-based therapies available, the proportion of patients with the aforementioned solid organ malignancies who benefitted from CGP was low, suggesting CGP has minimal impact on the treatment of Veterans with these malignancies.

Purpose

The aim of this study is to quantify the frequency of Memorial Sloan Kettering (MSK) Precision Oncology Knowledge Base (OncoKB) Level 1 genetic alterations in Veterans with various solid organ malignancies and evaluate the clinical benefit and impact of testing on treatment of these patients.

Background

The VA National Precision Oncology Program (NPOP) facilitates comprehensive genomic profiling (CGP) testing of Veterans with advanced cancer. While CGP is increasingly utilized and routinely ordered in patients with advanced solid organ malignancies, the clinical utility and value has not been proven in certain cancers. We present data from 5,979 patients with head and neck (H&N), pancreatic, hepatocellular (HCC), esophageal and kidney cancers who underwent CGP.

Methods

Our cohort consists of Veterans that received CGP testing to identify somatic variants between 1/1/2019 and 4/2/2025. Identified variants and biomarkers were formatted for use with oncoKB-annotator, a publicly available tool to annotate genomic variants with FDA approved drug recommendations stored as Level 1 annotations in OncoKB, and prescribed drugs were extracted from the Veteran Health Administration’s (VHA) Corporate Data Warehouse (CDW). Cancers were grouped by MSK’s OncoTree codes, and summary counts of Veterans tested, Veterans recommended, Veterans prescribed recommended FDA approved drugs were determined. Percentages were calculated using the total number of Veterans tested as the denominator.

Results

Level 1 OncoKB alterations were infrequent in H&N (0.94%), kidney (0.45%), HCC(0.28%), and pancreatic adenocarcinomas (1%). The frequency of Level 1 alterations in esophageal adenocarcinomas (EAC) was 20%. Approximately 98% of the Level 1 alterations in EAC patients were HER2 positivity or MSI-High status, which can be determined by other diagnostic methodologies such as IHC. The remaining 2% of EAC patients with level 1 alterations had BRAF V600E or NTRK rearrangements.

Conclusions

The incidence of level 1 genetic variants in H&N, kidney, HCC and pancreatic adenocarcinoma is very low and would very uncommonly result in clinical benefit. Although there is an expanding number of precision oncology-based therapies available, the proportion of patients with the aforementioned solid organ malignancies who benefitted from CGP was low, suggesting CGP has minimal impact on the treatment of Veterans with these malignancies.

Background

Due to risk for infusion-related reactions (IRR), administration of iron dextran requires an initial test dose with an extended monitoring period and subsequent doses given as a slow infusion over 2-3 hours. Safe use of a 60-minute iron dextran infusion protocol has been demonstrated previously at fully staffed academic teaching institutions. This study sought to determine the impact on patient safety and infusion clinic efficiency after implementing a 60-minute iron dextran administration protocol at a small, rural facility utilizing a decentralized clinical model.

Methods

This single-site, prospective, interventional study was conducted at a rural level 1C Veterans Affairs secondary care facility. The Hematology/Oncology clinic staffing includes one onsite clinical pharmacy practitioner (CPP) and advanced practice nurse. Remote providers complete patient encounters through video and telehealth modalities. A 60-minute iron dextran infusion service line agreement was designed by the Hematology/Oncology CPP and approved by the facility prior to data collection. The protocol included administration of a test dose and 15-minute monitoring period for treatment naïve patients. Pre-medications were allowed at the discretion of the ordering providers. All patients who received iron dextran between May 31, 2024 and April 14, 2025 per protocol were included in data analysis and results were stratified by treatment naïve and pre-treated patients. Outcomes included the proportion of patients experiencing any grade of IRR based on the Common Criteria for Adverse Events Version 5.0, and the average duration of administration. Descriptive statistics were used for safety and efficiency outcomes.

Results

Eighty patients received 103 iron dextran infusions and were included for analysis. Pre-medications were administered for 16 of the 103 (15.5%) included infusions. Two patients experienced grade 1 IRR (nausea) on 4 occasions (3.8%) which quickly resolved with intravenous ondansetron, and full iron dextran doses were received. The mean infusion time was 94 minutes in the treatment naïve cohort vs 71 minutes in the pre-treated cohort.

Conclusions

This study suggests a Hematology/ Oncology CPP developed iron dextran 60-minute infusion protocol may be safely and efficiently administered for qualifying patients in a decentralized, rural healthcare setting.

Background

Due to risk for infusion-related reactions (IRR), administration of iron dextran requires an initial test dose with an extended monitoring period and subsequent doses given as a slow infusion over 2-3 hours. Safe use of a 60-minute iron dextran infusion protocol has been demonstrated previously at fully staffed academic teaching institutions. This study sought to determine the impact on patient safety and infusion clinic efficiency after implementing a 60-minute iron dextran administration protocol at a small, rural facility utilizing a decentralized clinical model.

Methods

This single-site, prospective, interventional study was conducted at a rural level 1C Veterans Affairs secondary care facility. The Hematology/Oncology clinic staffing includes one onsite clinical pharmacy practitioner (CPP) and advanced practice nurse. Remote providers complete patient encounters through video and telehealth modalities. A 60-minute iron dextran infusion service line agreement was designed by the Hematology/Oncology CPP and approved by the facility prior to data collection. The protocol included administration of a test dose and 15-minute monitoring period for treatment naïve patients. Pre-medications were allowed at the discretion of the ordering providers. All patients who received iron dextran between May 31, 2024 and April 14, 2025 per protocol were included in data analysis and results were stratified by treatment naïve and pre-treated patients. Outcomes included the proportion of patients experiencing any grade of IRR based on the Common Criteria for Adverse Events Version 5.0, and the average duration of administration. Descriptive statistics were used for safety and efficiency outcomes.

Results

Eighty patients received 103 iron dextran infusions and were included for analysis. Pre-medications were administered for 16 of the 103 (15.5%) included infusions. Two patients experienced grade 1 IRR (nausea) on 4 occasions (3.8%) which quickly resolved with intravenous ondansetron, and full iron dextran doses were received. The mean infusion time was 94 minutes in the treatment naïve cohort vs 71 minutes in the pre-treated cohort.

Conclusions

This study suggests a Hematology/ Oncology CPP developed iron dextran 60-minute infusion protocol may be safely and efficiently administered for qualifying patients in a decentralized, rural healthcare setting.

Background

Due to risk for infusion-related reactions (IRR), administration of iron dextran requires an initial test dose with an extended monitoring period and subsequent doses given as a slow infusion over 2-3 hours. Safe use of a 60-minute iron dextran infusion protocol has been demonstrated previously at fully staffed academic teaching institutions. This study sought to determine the impact on patient safety and infusion clinic efficiency after implementing a 60-minute iron dextran administration protocol at a small, rural facility utilizing a decentralized clinical model.

Methods

This single-site, prospective, interventional study was conducted at a rural level 1C Veterans Affairs secondary care facility. The Hematology/Oncology clinic staffing includes one onsite clinical pharmacy practitioner (CPP) and advanced practice nurse. Remote providers complete patient encounters through video and telehealth modalities. A 60-minute iron dextran infusion service line agreement was designed by the Hematology/Oncology CPP and approved by the facility prior to data collection. The protocol included administration of a test dose and 15-minute monitoring period for treatment naïve patients. Pre-medications were allowed at the discretion of the ordering providers. All patients who received iron dextran between May 31, 2024 and April 14, 2025 per protocol were included in data analysis and results were stratified by treatment naïve and pre-treated patients. Outcomes included the proportion of patients experiencing any grade of IRR based on the Common Criteria for Adverse Events Version 5.0, and the average duration of administration. Descriptive statistics were used for safety and efficiency outcomes.

Results

Eighty patients received 103 iron dextran infusions and were included for analysis. Pre-medications were administered for 16 of the 103 (15.5%) included infusions. Two patients experienced grade 1 IRR (nausea) on 4 occasions (3.8%) which quickly resolved with intravenous ondansetron, and full iron dextran doses were received. The mean infusion time was 94 minutes in the treatment naïve cohort vs 71 minutes in the pre-treated cohort.

Conclusions

This study suggests a Hematology/ Oncology CPP developed iron dextran 60-minute infusion protocol may be safely and efficiently administered for qualifying patients in a decentralized, rural healthcare setting.

Purpose/Background

Palliative care referrals are recommended for patients with advanced or metastatic cancer to enhance patient and caregiver outcomes. However, challenges like delays or lack of referrals hinder implementation. This study identified rate of palliative care referrals at James A. Haley Veterans’ Hospital in Tampa, Florida; explored potential barriers to referral, and implemented targeted interventions to improve referral rates and patient outcomes.

Methods

A Plan-Do-Study-Act (PDSA) cycle was used for this quality improvement project. Data was collected from electronic medical record, focusing on consult dates, patient demographics, and reasons for seeking palliative care. Pre-intervention surveys were administered to Hematology-Oncology fellows at the institution to identify barriers to referral. Following a root cause analysis, a targeted intervention was developed, focusing on educational programs for fellows for streamlined referral processes.

Results

Before the intervention, monthly average for palliative care consults was low (3-8, typically 5). Pre-intervention surveys revealed that fellows lacked knowledge about palliative care resources, which contributed to low referral rates. To address this issue, a didactic session led by a palliative care specialist was conducted for the fellows in the fellowship program. This session provided education on the role of palliative care, how to initiate referrals, and the benefits of early involvement of palliative care teams in oncology patient management. Post-intervention surveys showed a marked improvement in fellows’ confidence regarding identification of patients suitable for palliative care. Following the session, 90% (9/10) of fellows reported being “very likely” to consult palliative care more often and 80% (8/10) indicated they were “very likely” to initiate palliative care discussions earlier in patient’s disease trajectory, with the remaining 20% (2/10) reporting a neutral stance. All fellows (100%) agreed that earlier palliative care involvement improves patient outcomes.

Implications/Significance

This PDSA cycle demonstrated that targeted education for fellows can increase awareness of palliative care resources and improve referral rates. Future work will focus on reassessing usage of palliative care consults post-intervention to evaluate effects of fellows’ education of appropriate palliative care consultation, make necessary interventions based on data and further evaluate the long-term impact on patient outcomes at James A. Haley Veterans’ Hospital.

Purpose/Background

Palliative care referrals are recommended for patients with advanced or metastatic cancer to enhance patient and caregiver outcomes. However, challenges like delays or lack of referrals hinder implementation. This study identified rate of palliative care referrals at James A. Haley Veterans’ Hospital in Tampa, Florida; explored potential barriers to referral, and implemented targeted interventions to improve referral rates and patient outcomes.

Methods

A Plan-Do-Study-Act (PDSA) cycle was used for this quality improvement project. Data was collected from electronic medical record, focusing on consult dates, patient demographics, and reasons for seeking palliative care. Pre-intervention surveys were administered to Hematology-Oncology fellows at the institution to identify barriers to referral. Following a root cause analysis, a targeted intervention was developed, focusing on educational programs for fellows for streamlined referral processes.

Results

Before the intervention, monthly average for palliative care consults was low (3-8, typically 5). Pre-intervention surveys revealed that fellows lacked knowledge about palliative care resources, which contributed to low referral rates. To address this issue, a didactic session led by a palliative care specialist was conducted for the fellows in the fellowship program. This session provided education on the role of palliative care, how to initiate referrals, and the benefits of early involvement of palliative care teams in oncology patient management. Post-intervention surveys showed a marked improvement in fellows’ confidence regarding identification of patients suitable for palliative care. Following the session, 90% (9/10) of fellows reported being “very likely” to consult palliative care more often and 80% (8/10) indicated they were “very likely” to initiate palliative care discussions earlier in patient’s disease trajectory, with the remaining 20% (2/10) reporting a neutral stance. All fellows (100%) agreed that earlier palliative care involvement improves patient outcomes.

Implications/Significance

This PDSA cycle demonstrated that targeted education for fellows can increase awareness of palliative care resources and improve referral rates. Future work will focus on reassessing usage of palliative care consults post-intervention to evaluate effects of fellows’ education of appropriate palliative care consultation, make necessary interventions based on data and further evaluate the long-term impact on patient outcomes at James A. Haley Veterans’ Hospital.

Purpose/Background

Palliative care referrals are recommended for patients with advanced or metastatic cancer to enhance patient and caregiver outcomes. However, challenges like delays or lack of referrals hinder implementation. This study identified rate of palliative care referrals at James A. Haley Veterans’ Hospital in Tampa, Florida; explored potential barriers to referral, and implemented targeted interventions to improve referral rates and patient outcomes.

Methods

A Plan-Do-Study-Act (PDSA) cycle was used for this quality improvement project. Data was collected from electronic medical record, focusing on consult dates, patient demographics, and reasons for seeking palliative care. Pre-intervention surveys were administered to Hematology-Oncology fellows at the institution to identify barriers to referral. Following a root cause analysis, a targeted intervention was developed, focusing on educational programs for fellows for streamlined referral processes.

Results

Before the intervention, monthly average for palliative care consults was low (3-8, typically 5). Pre-intervention surveys revealed that fellows lacked knowledge about palliative care resources, which contributed to low referral rates. To address this issue, a didactic session led by a palliative care specialist was conducted for the fellows in the fellowship program. This session provided education on the role of palliative care, how to initiate referrals, and the benefits of early involvement of palliative care teams in oncology patient management. Post-intervention surveys showed a marked improvement in fellows’ confidence regarding identification of patients suitable for palliative care. Following the session, 90% (9/10) of fellows reported being “very likely” to consult palliative care more often and 80% (8/10) indicated they were “very likely” to initiate palliative care discussions earlier in patient’s disease trajectory, with the remaining 20% (2/10) reporting a neutral stance. All fellows (100%) agreed that earlier palliative care involvement improves patient outcomes.

Implications/Significance

This PDSA cycle demonstrated that targeted education for fellows can increase awareness of palliative care resources and improve referral rates. Future work will focus on reassessing usage of palliative care consults post-intervention to evaluate effects of fellows’ education of appropriate palliative care consultation, make necessary interventions based on data and further evaluate the long-term impact on patient outcomes at James A. Haley Veterans’ Hospital.

Background

In December of 2023, a workgroup at VA Connecticut Healthcare System (“VACHS”) initiated a quality improvement project to use the weekly GI Tumor Board meeting to identify patients who would benefit from PHASER testing. The PHASER panel includes two genes that are involved in the metabolism of two commonly used chemotherapy drugs in this patient population. Our goal was to identify patients with potentially impaired metabolism of 5FU and/or irinotecan prior to initiating treatment so that the doses of the appropriate drugs could be adjusted, leading to less toxicity for patients while on treatment and fewer lingering side-effects from treatment.

Results

Here we report outcomes based on 12 months of data. We reviewed the charts of all patients who received 5-FU or irinotecan during the period 1/1/24-12/31/24 based on pharmacy records. We separately identified all VACHS patients with newly diagnosed GI cancers in 2024 using data generated by the Tumor Registrar. 39 patients met criteria for PHASER testing. Of those, 37/39 (95%) patients got the testing. The 2 additional patients who were identified during our data analysis will be offered PHASER testing. Of the 37 patients who were tested, 7 patients (19%) had a genetic variant that could potentially impact chemotherapy dosing. 3 of these 7 patients were treated with chemotherapy and did require dose-adjustment. Of note, 100% of patients diagnosed with a new GI malignancy at VA Connecticut in 2024 whose treatment plan included possible chemotherapy with 5FU or Irinotecan got PHASER testing. In one year, this best practice is now our standard procedure.

Conclusions

Despite access to pharmacogenomic testing at VA, there can be variations between VA sites in terms of uptake of this new testing. VA Connecticut’s PHASER testing initiative for patients with GI malignancies is a model that can be replicated throughout VA. This initiative is part of a broader focus at VACHS on “pre-habilitation” and pre-treatment testing that is designed to reduce toxicity of treatment and improve quality of life for cancer survivors.

Background

In December of 2023, a workgroup at VA Connecticut Healthcare System (“VACHS”) initiated a quality improvement project to use the weekly GI Tumor Board meeting to identify patients who would benefit from PHASER testing. The PHASER panel includes two genes that are involved in the metabolism of two commonly used chemotherapy drugs in this patient population. Our goal was to identify patients with potentially impaired metabolism of 5FU and/or irinotecan prior to initiating treatment so that the doses of the appropriate drugs could be adjusted, leading to less toxicity for patients while on treatment and fewer lingering side-effects from treatment.

Results

Here we report outcomes based on 12 months of data. We reviewed the charts of all patients who received 5-FU or irinotecan during the period 1/1/24-12/31/24 based on pharmacy records. We separately identified all VACHS patients with newly diagnosed GI cancers in 2024 using data generated by the Tumor Registrar. 39 patients met criteria for PHASER testing. Of those, 37/39 (95%) patients got the testing. The 2 additional patients who were identified during our data analysis will be offered PHASER testing. Of the 37 patients who were tested, 7 patients (19%) had a genetic variant that could potentially impact chemotherapy dosing. 3 of these 7 patients were treated with chemotherapy and did require dose-adjustment. Of note, 100% of patients diagnosed with a new GI malignancy at VA Connecticut in 2024 whose treatment plan included possible chemotherapy with 5FU or Irinotecan got PHASER testing. In one year, this best practice is now our standard procedure.

Conclusions

Despite access to pharmacogenomic testing at VA, there can be variations between VA sites in terms of uptake of this new testing. VA Connecticut’s PHASER testing initiative for patients with GI malignancies is a model that can be replicated throughout VA. This initiative is part of a broader focus at VACHS on “pre-habilitation” and pre-treatment testing that is designed to reduce toxicity of treatment and improve quality of life for cancer survivors.

Background

In December of 2023, a workgroup at VA Connecticut Healthcare System (“VACHS”) initiated a quality improvement project to use the weekly GI Tumor Board meeting to identify patients who would benefit from PHASER testing. The PHASER panel includes two genes that are involved in the metabolism of two commonly used chemotherapy drugs in this patient population. Our goal was to identify patients with potentially impaired metabolism of 5FU and/or irinotecan prior to initiating treatment so that the doses of the appropriate drugs could be adjusted, leading to less toxicity for patients while on treatment and fewer lingering side-effects from treatment.

Results

Here we report outcomes based on 12 months of data. We reviewed the charts of all patients who received 5-FU or irinotecan during the period 1/1/24-12/31/24 based on pharmacy records. We separately identified all VACHS patients with newly diagnosed GI cancers in 2024 using data generated by the Tumor Registrar. 39 patients met criteria for PHASER testing. Of those, 37/39 (95%) patients got the testing. The 2 additional patients who were identified during our data analysis will be offered PHASER testing. Of the 37 patients who were tested, 7 patients (19%) had a genetic variant that could potentially impact chemotherapy dosing. 3 of these 7 patients were treated with chemotherapy and did require dose-adjustment. Of note, 100% of patients diagnosed with a new GI malignancy at VA Connecticut in 2024 whose treatment plan included possible chemotherapy with 5FU or Irinotecan got PHASER testing. In one year, this best practice is now our standard procedure.

Conclusions

Despite access to pharmacogenomic testing at VA, there can be variations between VA sites in terms of uptake of this new testing. VA Connecticut’s PHASER testing initiative for patients with GI malignancies is a model that can be replicated throughout VA. This initiative is part of a broader focus at VACHS on “pre-habilitation” and pre-treatment testing that is designed to reduce toxicity of treatment and improve quality of life for cancer survivors.

Background

Early palliative care (PC) has been shown to improve cancer patients’ quality of life, symptom control, disease knowledge, psychological and spiritual health, end-of-life care, and survival, as well as reduce hospital admissions and emergency visits. The American Society of Clinical Oncology and the World Health Organization recommend that every patient with advanced cancer should be treated by a multidisciplinary palliative care team early in the course of the disease and in conjunction with anticancer treatment. Despite the documented benefits and the recommendations, early PC is still not often offered in clinical practice.

Results

Through a retrospective data review from July, August, and September 2023, a low percentage of early PC referrals were identified among Veterans with pancreatic, head and neck, and stage IV lung cancer in the Infusion Clinic. Only 48.5% had an early PC referral, which is a referral made within 8 weeks from the time of diagnosis and 3 or more months before death. A survey conducted among oncology providers suggests that the lack of provider knowledge about the scope of PC, the lack of set criteria/protocol to initiate a referral, and provider discomfort in referring patients were thought to hinder early referrals or cause late or/lack of referrals.

Discussion

This quality improvement project aimed to increase the early PC referral rate among advanced cancer patients in the infusion clinic to improve patient outcomes. An early PC referral toolkit was implemented consisting of (a) provider education about the scope of PC, (b) a script to help providers introduce PC as part of the comprehensive care team, (c) a PC brochure for reference, and (d) an Evidence-Based Five-item Screening Checklist to identify patients needing PC.

Conclusions

Nine months of data monitoring and analysis post-implementation revealed a 100% (n=12) early PC referral rate, and 80% (n=12) of providers reported feeling comfortable referring their patients. The project fostered a culture of comprehensive cancer care while empowering providers to make early referrals that improve patients’ multidimensional outcomes. The toolkit remains available to oncology providers and is shared upon request with other VA centers, as it is replicable in most VA settings that offer PC.

Background

Early palliative care (PC) has been shown to improve cancer patients’ quality of life, symptom control, disease knowledge, psychological and spiritual health, end-of-life care, and survival, as well as reduce hospital admissions and emergency visits. The American Society of Clinical Oncology and the World Health Organization recommend that every patient with advanced cancer should be treated by a multidisciplinary palliative care team early in the course of the disease and in conjunction with anticancer treatment. Despite the documented benefits and the recommendations, early PC is still not often offered in clinical practice.

Results

Through a retrospective data review from July, August, and September 2023, a low percentage of early PC referrals were identified among Veterans with pancreatic, head and neck, and stage IV lung cancer in the Infusion Clinic. Only 48.5% had an early PC referral, which is a referral made within 8 weeks from the time of diagnosis and 3 or more months before death. A survey conducted among oncology providers suggests that the lack of provider knowledge about the scope of PC, the lack of set criteria/protocol to initiate a referral, and provider discomfort in referring patients were thought to hinder early referrals or cause late or/lack of referrals.

Discussion

This quality improvement project aimed to increase the early PC referral rate among advanced cancer patients in the infusion clinic to improve patient outcomes. An early PC referral toolkit was implemented consisting of (a) provider education about the scope of PC, (b) a script to help providers introduce PC as part of the comprehensive care team, (c) a PC brochure for reference, and (d) an Evidence-Based Five-item Screening Checklist to identify patients needing PC.

Conclusions

Nine months of data monitoring and analysis post-implementation revealed a 100% (n=12) early PC referral rate, and 80% (n=12) of providers reported feeling comfortable referring their patients. The project fostered a culture of comprehensive cancer care while empowering providers to make early referrals that improve patients’ multidimensional outcomes. The toolkit remains available to oncology providers and is shared upon request with other VA centers, as it is replicable in most VA settings that offer PC.

Background

Early palliative care (PC) has been shown to improve cancer patients’ quality of life, symptom control, disease knowledge, psychological and spiritual health, end-of-life care, and survival, as well as reduce hospital admissions and emergency visits. The American Society of Clinical Oncology and the World Health Organization recommend that every patient with advanced cancer should be treated by a multidisciplinary palliative care team early in the course of the disease and in conjunction with anticancer treatment. Despite the documented benefits and the recommendations, early PC is still not often offered in clinical practice.

Results

Through a retrospective data review from July, August, and September 2023, a low percentage of early PC referrals were identified among Veterans with pancreatic, head and neck, and stage IV lung cancer in the Infusion Clinic. Only 48.5% had an early PC referral, which is a referral made within 8 weeks from the time of diagnosis and 3 or more months before death. A survey conducted among oncology providers suggests that the lack of provider knowledge about the scope of PC, the lack of set criteria/protocol to initiate a referral, and provider discomfort in referring patients were thought to hinder early referrals or cause late or/lack of referrals.

Discussion

This quality improvement project aimed to increase the early PC referral rate among advanced cancer patients in the infusion clinic to improve patient outcomes. An early PC referral toolkit was implemented consisting of (a) provider education about the scope of PC, (b) a script to help providers introduce PC as part of the comprehensive care team, (c) a PC brochure for reference, and (d) an Evidence-Based Five-item Screening Checklist to identify patients needing PC.

Conclusions

Nine months of data monitoring and analysis post-implementation revealed a 100% (n=12) early PC referral rate, and 80% (n=12) of providers reported feeling comfortable referring their patients. The project fostered a culture of comprehensive cancer care while empowering providers to make early referrals that improve patients’ multidimensional outcomes. The toolkit remains available to oncology providers and is shared upon request with other VA centers, as it is replicable in most VA settings that offer PC.

Background

Enhancing symptom assessment and management of patients undergoing cancer treatment presents several challenges, ranging from workflow integration to application of evidenced-based interventions (Minteer, et al., 2023). Previously, our team conducted a VA mixed-methods study and identified a lack of standardized approaches for symptom assessment, lack of technology support to optimize workflows, and the need for adaptable workflows that reflect both facility and patient preferences. In response, the National Oncology Program Office at Palo Alto VA (PAVA) launched the Proactive Patient-Centered Care Program (PPP) to address these care gaps and develop a feasible, replicable, sustainable workflow to guide broader VA-wide implementation based on prior work conducted by the PAVA team (Banks, et al., 2024).

Methods

Prior to launch, the PPP team engaged oncology leadership in VISN21 and VISN22. Long Beach VA (LBVA) was selected as the initial pilot implementation site. A multidisciplinary group from PAVA and LBVA comprised of oncology and palliative care clinicians, nurses, pharmacists, a lay health worker, and project manager guided the workflow adaptations. To support scalability and sustainability, the Empowering Learning, Innovation, and experiences through Implementation of health Informatics (ELIXIR) team designed an electronic health record agnostic technology-enabled tool to support workflow. The group met weekly to bi-monthly over 5 months, virtually and two in-person sessions, to map current practices, co-develop workflows, and identify key decisions regarding patient eligibility criteria, frequency of symptom assessments, triage responsibilities, escalation protocols, and closed-loop communication processes.

Results

A technology-enabled workflow was developed to deploy proactive symptom assessment and management across VA oncology sites with streamlined coordination between peer support staff and clinicians along with technology to support timely interventions.

Conclusions

Process improvement for symptom management requires on the ground adaptation even within an integrated health system like the VA. This initiative underscores the need for multidisciplinary collaboration, sustainability, and technology integration to support long-term intervention fidelity and scalability. The workflow developed will guide the PPP program’s expansion to LBVA, with patient enrollment beginning May 2025. The approach used to develop this workflow will serve as a model for standardizing supportive care processes across the VA to account for local needs.

Background

Enhancing symptom assessment and management of patients undergoing cancer treatment presents several challenges, ranging from workflow integration to application of evidenced-based interventions (Minteer, et al., 2023). Previously, our team conducted a VA mixed-methods study and identified a lack of standardized approaches for symptom assessment, lack of technology support to optimize workflows, and the need for adaptable workflows that reflect both facility and patient preferences. In response, the National Oncology Program Office at Palo Alto VA (PAVA) launched the Proactive Patient-Centered Care Program (PPP) to address these care gaps and develop a feasible, replicable, sustainable workflow to guide broader VA-wide implementation based on prior work conducted by the PAVA team (Banks, et al., 2024).

Methods

Prior to launch, the PPP team engaged oncology leadership in VISN21 and VISN22. Long Beach VA (LBVA) was selected as the initial pilot implementation site. A multidisciplinary group from PAVA and LBVA comprised of oncology and palliative care clinicians, nurses, pharmacists, a lay health worker, and project manager guided the workflow adaptations. To support scalability and sustainability, the Empowering Learning, Innovation, and experiences through Implementation of health Informatics (ELIXIR) team designed an electronic health record agnostic technology-enabled tool to support workflow. The group met weekly to bi-monthly over 5 months, virtually and two in-person sessions, to map current practices, co-develop workflows, and identify key decisions regarding patient eligibility criteria, frequency of symptom assessments, triage responsibilities, escalation protocols, and closed-loop communication processes.

Results

A technology-enabled workflow was developed to deploy proactive symptom assessment and management across VA oncology sites with streamlined coordination between peer support staff and clinicians along with technology to support timely interventions.

Conclusions

Process improvement for symptom management requires on the ground adaptation even within an integrated health system like the VA. This initiative underscores the need for multidisciplinary collaboration, sustainability, and technology integration to support long-term intervention fidelity and scalability. The workflow developed will guide the PPP program’s expansion to LBVA, with patient enrollment beginning May 2025. The approach used to develop this workflow will serve as a model for standardizing supportive care processes across the VA to account for local needs.

Background

Enhancing symptom assessment and management of patients undergoing cancer treatment presents several challenges, ranging from workflow integration to application of evidenced-based interventions (Minteer, et al., 2023). Previously, our team conducted a VA mixed-methods study and identified a lack of standardized approaches for symptom assessment, lack of technology support to optimize workflows, and the need for adaptable workflows that reflect both facility and patient preferences. In response, the National Oncology Program Office at Palo Alto VA (PAVA) launched the Proactive Patient-Centered Care Program (PPP) to address these care gaps and develop a feasible, replicable, sustainable workflow to guide broader VA-wide implementation based on prior work conducted by the PAVA team (Banks, et al., 2024).

Methods

Prior to launch, the PPP team engaged oncology leadership in VISN21 and VISN22. Long Beach VA (LBVA) was selected as the initial pilot implementation site. A multidisciplinary group from PAVA and LBVA comprised of oncology and palliative care clinicians, nurses, pharmacists, a lay health worker, and project manager guided the workflow adaptations. To support scalability and sustainability, the Empowering Learning, Innovation, and experiences through Implementation of health Informatics (ELIXIR) team designed an electronic health record agnostic technology-enabled tool to support workflow. The group met weekly to bi-monthly over 5 months, virtually and two in-person sessions, to map current practices, co-develop workflows, and identify key decisions regarding patient eligibility criteria, frequency of symptom assessments, triage responsibilities, escalation protocols, and closed-loop communication processes.

Results

A technology-enabled workflow was developed to deploy proactive symptom assessment and management across VA oncology sites with streamlined coordination between peer support staff and clinicians along with technology to support timely interventions.

Conclusions

Process improvement for symptom management requires on the ground adaptation even within an integrated health system like the VA. This initiative underscores the need for multidisciplinary collaboration, sustainability, and technology integration to support long-term intervention fidelity and scalability. The workflow developed will guide the PPP program’s expansion to LBVA, with patient enrollment beginning May 2025. The approach used to develop this workflow will serve as a model for standardizing supportive care processes across the VA to account for local needs.

Background

The American College of Surgeons’ Commission on Cancer (CoC) Accreditation requires establishment of a comprehensive cancer program, multi-disciplinary tumor boards, active cancer registry, quality improvement activities and cancer research.

Methods

In 2022, the Tibor Rubin VA Medical Center (TRVAMC) set out to obtain accreditation through enhancing workforce practices. Changes in workforce practices included (1) leadership engagement; (2) acquisition of staff; (3) enhancing staff efficiency and (4) inter-departmental collaboration, leading to CoC accreditation in August 2024. executive leadership team (ELT) buy-in was essential. ELT engagement included communicating the benefits of accreditation, alignment with organizational mission and values, protected time for Cancer Committee members, Chief of Staff presence in Cancer Committee, commitment to recruiting new staff, and membership in the Medical Executive Council to voice cancer program needs. New staff included a cancer program manager, cancer case conference RN care coordinator, certified oncology data specialist and survivorship nurse practitioner. Staff development included structured and focused training. Enhancing staff efficiency included developing standards of work with clear delineation of duties (delegation of specific CoC standards), decentralizing decision making, a shared governance council, and weekly Cancer Program meetings. These changes allowed staff members to be active, autonomous decision-making participants, and increased efficiency. Inter-departmental collaboration involved Hematology/Oncology, Surgery, Radiation Oncology, Pharmacy, Nutrition, Pathology, Palliative Care, Rehabilitation, Chaplaincy and Cancer Research, with key individuals serving as Cancer Committee members. Each department set performance goals and metrics. Each employee’s contribution was rated in annual performance reviews.

Results

TRVAMC thus elevated cancer care delivery standards through structured workforce practices within the framework of CoC standards required for accreditation. Additionally, the accreditation process achieved desirable and measurable outcomes, e.g. 100% growth in oncology dietitian referrals, 75% increase in early palliative care referrals (TRVAMC ranked in the top 5 in the US), and more than 200 patients enrolled in cancer clinical trials (TRVAMC was the highest enrolling VA in the US to NCI trials in 2024).

Conclusions

Our model demonstrates how strategic improvements in healthcare workforce practices at a VA can directly contribute to sustained improvements in quality and delivery of cancer care services.

Background

The American College of Surgeons’ Commission on Cancer (CoC) Accreditation requires establishment of a comprehensive cancer program, multi-disciplinary tumor boards, active cancer registry, quality improvement activities and cancer research.

Methods

In 2022, the Tibor Rubin VA Medical Center (TRVAMC) set out to obtain accreditation through enhancing workforce practices. Changes in workforce practices included (1) leadership engagement; (2) acquisition of staff; (3) enhancing staff efficiency and (4) inter-departmental collaboration, leading to CoC accreditation in August 2024. executive leadership team (ELT) buy-in was essential. ELT engagement included communicating the benefits of accreditation, alignment with organizational mission and values, protected time for Cancer Committee members, Chief of Staff presence in Cancer Committee, commitment to recruiting new staff, and membership in the Medical Executive Council to voice cancer program needs. New staff included a cancer program manager, cancer case conference RN care coordinator, certified oncology data specialist and survivorship nurse practitioner. Staff development included structured and focused training. Enhancing staff efficiency included developing standards of work with clear delineation of duties (delegation of specific CoC standards), decentralizing decision making, a shared governance council, and weekly Cancer Program meetings. These changes allowed staff members to be active, autonomous decision-making participants, and increased efficiency. Inter-departmental collaboration involved Hematology/Oncology, Surgery, Radiation Oncology, Pharmacy, Nutrition, Pathology, Palliative Care, Rehabilitation, Chaplaincy and Cancer Research, with key individuals serving as Cancer Committee members. Each department set performance goals and metrics. Each employee’s contribution was rated in annual performance reviews.

Results

TRVAMC thus elevated cancer care delivery standards through structured workforce practices within the framework of CoC standards required for accreditation. Additionally, the accreditation process achieved desirable and measurable outcomes, e.g. 100% growth in oncology dietitian referrals, 75% increase in early palliative care referrals (TRVAMC ranked in the top 5 in the US), and more than 200 patients enrolled in cancer clinical trials (TRVAMC was the highest enrolling VA in the US to NCI trials in 2024).

Conclusions

Our model demonstrates how strategic improvements in healthcare workforce practices at a VA can directly contribute to sustained improvements in quality and delivery of cancer care services.

Background

The American College of Surgeons’ Commission on Cancer (CoC) Accreditation requires establishment of a comprehensive cancer program, multi-disciplinary tumor boards, active cancer registry, quality improvement activities and cancer research.

Methods

In 2022, the Tibor Rubin VA Medical Center (TRVAMC) set out to obtain accreditation through enhancing workforce practices. Changes in workforce practices included (1) leadership engagement; (2) acquisition of staff; (3) enhancing staff efficiency and (4) inter-departmental collaboration, leading to CoC accreditation in August 2024. executive leadership team (ELT) buy-in was essential. ELT engagement included communicating the benefits of accreditation, alignment with organizational mission and values, protected time for Cancer Committee members, Chief of Staff presence in Cancer Committee, commitment to recruiting new staff, and membership in the Medical Executive Council to voice cancer program needs. New staff included a cancer program manager, cancer case conference RN care coordinator, certified oncology data specialist and survivorship nurse practitioner. Staff development included structured and focused training. Enhancing staff efficiency included developing standards of work with clear delineation of duties (delegation of specific CoC standards), decentralizing decision making, a shared governance council, and weekly Cancer Program meetings. These changes allowed staff members to be active, autonomous decision-making participants, and increased efficiency. Inter-departmental collaboration involved Hematology/Oncology, Surgery, Radiation Oncology, Pharmacy, Nutrition, Pathology, Palliative Care, Rehabilitation, Chaplaincy and Cancer Research, with key individuals serving as Cancer Committee members. Each department set performance goals and metrics. Each employee’s contribution was rated in annual performance reviews.

Results

TRVAMC thus elevated cancer care delivery standards through structured workforce practices within the framework of CoC standards required for accreditation. Additionally, the accreditation process achieved desirable and measurable outcomes, e.g. 100% growth in oncology dietitian referrals, 75% increase in early palliative care referrals (TRVAMC ranked in the top 5 in the US), and more than 200 patients enrolled in cancer clinical trials (TRVAMC was the highest enrolling VA in the US to NCI trials in 2024).

Conclusions

Our model demonstrates how strategic improvements in healthcare workforce practices at a VA can directly contribute to sustained improvements in quality and delivery of cancer care services.

Purpose/Objectives

Radiation oncology treatment planning and delivery systems are predominantly designed as silos, centered around the care of individual patients and generally disconnected from the broader health record. This poses significant challenges for cohort or population scale research, particularly when trying to analyze the nuances and details of treatments. The National Radiation Oncology Program (NROP) sought to design, develop, and implement a platform-agnostic tool to extract clinically meaningful treatment details from DICOM-RT data and applied this in a pilot initiative to centralize data from several VA distinct treatment facilities and merge the resulting dataset with the broader electronic health record to support research and clinical operations.

Methods

Leveraging NROP’s Health Information Gateway Exchange (HINGE) system, we developed the capability to analyze DICOM-RT datasets and output detailed and clinically meaningful radiation treatment information including but not limited to structure-specific dose volume histogram data, individual beam-level treatment details, and verified delivered fraction data. We applied this to historical data from VA facilities participating in NROP’s initial pilot and linked the resulting data with the broader electronic health record on an individual patient level, constituting the Granular Radiotherapy Information Database (GRID).

Results

We demonstrate successful export of clinically meaningful treatment details from a large real-world cohort of VA patients treated between 2012-2024. This constitutes a novel source of authoritative radiation oncology data within the VA CDW. We confirmed the ability to arbitrarily query these cohorts based on both the intrinsic data export as well as its linkages to the broader electronic health record.

Conclusions

This is a proof-of-principle study demonstrating the ability to extract and integrate detailed radiotherapy data with the broader health record, as well as enable unprecedented arbitrary queries at population scale and broad reuse in the VA research and clinical operations.

Purpose/Objectives

Radiation oncology treatment planning and delivery systems are predominantly designed as silos, centered around the care of individual patients and generally disconnected from the broader health record. This poses significant challenges for cohort or population scale research, particularly when trying to analyze the nuances and details of treatments. The National Radiation Oncology Program (NROP) sought to design, develop, and implement a platform-agnostic tool to extract clinically meaningful treatment details from DICOM-RT data and applied this in a pilot initiative to centralize data from several VA distinct treatment facilities and merge the resulting dataset with the broader electronic health record to support research and clinical operations.

Methods

Leveraging NROP’s Health Information Gateway Exchange (HINGE) system, we developed the capability to analyze DICOM-RT datasets and output detailed and clinically meaningful radiation treatment information including but not limited to structure-specific dose volume histogram data, individual beam-level treatment details, and verified delivered fraction data. We applied this to historical data from VA facilities participating in NROP’s initial pilot and linked the resulting data with the broader electronic health record on an individual patient level, constituting the Granular Radiotherapy Information Database (GRID).

Results

We demonstrate successful export of clinically meaningful treatment details from a large real-world cohort of VA patients treated between 2012-2024. This constitutes a novel source of authoritative radiation oncology data within the VA CDW. We confirmed the ability to arbitrarily query these cohorts based on both the intrinsic data export as well as its linkages to the broader electronic health record.

Conclusions

This is a proof-of-principle study demonstrating the ability to extract and integrate detailed radiotherapy data with the broader health record, as well as enable unprecedented arbitrary queries at population scale and broad reuse in the VA research and clinical operations.

Purpose/Objectives

Radiation oncology treatment planning and delivery systems are predominantly designed as silos, centered around the care of individual patients and generally disconnected from the broader health record. This poses significant challenges for cohort or population scale research, particularly when trying to analyze the nuances and details of treatments. The National Radiation Oncology Program (NROP) sought to design, develop, and implement a platform-agnostic tool to extract clinically meaningful treatment details from DICOM-RT data and applied this in a pilot initiative to centralize data from several VA distinct treatment facilities and merge the resulting dataset with the broader electronic health record to support research and clinical operations.

Methods

Leveraging NROP’s Health Information Gateway Exchange (HINGE) system, we developed the capability to analyze DICOM-RT datasets and output detailed and clinically meaningful radiation treatment information including but not limited to structure-specific dose volume histogram data, individual beam-level treatment details, and verified delivered fraction data. We applied this to historical data from VA facilities participating in NROP’s initial pilot and linked the resulting data with the broader electronic health record on an individual patient level, constituting the Granular Radiotherapy Information Database (GRID).

Results

We demonstrate successful export of clinically meaningful treatment details from a large real-world cohort of VA patients treated between 2012-2024. This constitutes a novel source of authoritative radiation oncology data within the VA CDW. We confirmed the ability to arbitrarily query these cohorts based on both the intrinsic data export as well as its linkages to the broader electronic health record.

Conclusions

This is a proof-of-principle study demonstrating the ability to extract and integrate detailed radiotherapy data with the broader health record, as well as enable unprecedented arbitrary queries at population scale and broad reuse in the VA research and clinical operations.