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Automated Risk Assessment Tool Reduces Antibiotic Prescribing Rates

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Changed
Fri, 04/26/2024 - 10:03

 



An algorithm-driven risk assessment embedded in an electronic health record (EHR) helped clinicians reduce inappropriate broad-spectrum antibiotic prescribing by 17.4% and 28.4% in patients with UTIs and pneumonia, respectively, according to two related studies published in JAMA.

The randomized control trials included more than 200,000 adult patients with non–life threatening pneumonia or urinary tract infections (UTIs) in 59 hospitals owned by HCA Healthcare across the country. 

Researchers analyzed baseline prescribing behaviors over an 18-month period starting in April 2017, and data from a 15-month period of implementation of the new antibiotic system starting in April 2019.

They focused on the use of broad-spectrum antibiotics during the first 3 days of hospital admission, before microbiologic test results came back, and when clinicians are likely to err on the side of caution and prescribe one of the drugs, according to lead author Shruti K. Gohil, MD, MPH, associate medical director of epidemiology and infection prevention, infectious diseases at the University of California Irvine School of Medicine. 

“When a patient comes in with pneumonia or a UTI, it’s precisely because we are concerned that our patients have a multidrug-resistant organism that we end up using broad-spectrum antibiotics,” she said. 

Despite growing awareness of the need to reduce unnecessary antibiotic use, clinicians have still been slow to adopt a more conservative approach to prescribing, Dr. Gohil said. 

“What physicians have been needing is something to hang their hat on, to be able to say, ‘Okay, well, this one’s a low-risk person,’ ” Dr. Gohil said. 

The trials compared the impact of routine antibiotic activities with a stewardship bundle, called INSPIRE (Intelligent Stewardship Prompts to Improve Real-time Empiric Antibiotic Selection). 

Both groups received educational materials, quarterly coaching calls, prospective evaluations for antibiotic use, and were required to select a reason for prescribing an antibiotic. 

But prescribers in the intervention group took part in monthly coaching calls and feedback reports. In addition, if a clinician ordered a broad-spectrum antibiotic to treat pneumonia or a UTI outside of the intensive care unit within 72 hours of admission, an EHR prompt would pop up. The pop-up suggested a standard-spectrum antibiotic instead if patient risk for developing a multidrug-resistant (MDRO) version of either condition was less than 10%. 

An algorithm used data from the EHR calculated risk, using factors like patient demographics and history and MDRO infection at the community and hospital level. 

Prescribing rates were based on the number of days a patient received a broad-spectrum antibiotic during the first 72 hours of hospitalization. 

For the UTI intervention group, rates dropped by 17.4% (rate ratio [RR], 0.83; 95% CI, 0.77-0.89; P < .001), and 28.4% reduction in the pneumonia group (RR, 0.72; 95% CI, 0.66-0.78; P < .001). 

“We cannot know which element — prompt, education, or feedback — worked, but the data suggests that the prompt was the main driver,” Dr. Gohil said.

“In antibiotic stewardship, we have learned not only that doctors want to do the right thing, but that we as stewards need to make it easy for them do the right thing,” said Paul Pottinger, MD, professor of medicine at the Division of Allergy and Infectious Diseases at the University of Washington Medical Center in Seattle. 

The prompt “is your easy button,” said Dr. Pottinger, who was not involved with either study. “The researchers made it simple, fast, and straightforward, so people don’t have to think about it too much.”

The studies showed similar safety outcomes for the control and intervention groups. Among patients with a UTI, those in the control group were transferred to the ICU after an average of 6.6 days compared to 7 days in the intervention group. Among patients with pneumonia, the average days to ICU transfer were 6.5 for the control group and 7.1 for the intervention group. 

“This study is a proof of concept that physicians want to do the right thing and are willing to trust this information,” Dr. Pottinger said. “And this also shows us that this tool can be refined and made even more precise over time.” 

The study was funded by the US Centers for Disease Control and Prevention and was led by the University of California Irvine, Harvard Pilgrim Healthcare Institute, and HCA Healthcare System. Various authors report funding and support from entities outside the submitted work. The full list can be found with the original articles.

A version of this article appeared on Medscape.com.

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An algorithm-driven risk assessment embedded in an electronic health record (EHR) helped clinicians reduce inappropriate broad-spectrum antibiotic prescribing by 17.4% and 28.4% in patients with UTIs and pneumonia, respectively, according to two related studies published in JAMA.

The randomized control trials included more than 200,000 adult patients with non–life threatening pneumonia or urinary tract infections (UTIs) in 59 hospitals owned by HCA Healthcare across the country. 

Researchers analyzed baseline prescribing behaviors over an 18-month period starting in April 2017, and data from a 15-month period of implementation of the new antibiotic system starting in April 2019.

They focused on the use of broad-spectrum antibiotics during the first 3 days of hospital admission, before microbiologic test results came back, and when clinicians are likely to err on the side of caution and prescribe one of the drugs, according to lead author Shruti K. Gohil, MD, MPH, associate medical director of epidemiology and infection prevention, infectious diseases at the University of California Irvine School of Medicine. 

“When a patient comes in with pneumonia or a UTI, it’s precisely because we are concerned that our patients have a multidrug-resistant organism that we end up using broad-spectrum antibiotics,” she said. 

Despite growing awareness of the need to reduce unnecessary antibiotic use, clinicians have still been slow to adopt a more conservative approach to prescribing, Dr. Gohil said. 

“What physicians have been needing is something to hang their hat on, to be able to say, ‘Okay, well, this one’s a low-risk person,’ ” Dr. Gohil said. 

The trials compared the impact of routine antibiotic activities with a stewardship bundle, called INSPIRE (Intelligent Stewardship Prompts to Improve Real-time Empiric Antibiotic Selection). 

Both groups received educational materials, quarterly coaching calls, prospective evaluations for antibiotic use, and were required to select a reason for prescribing an antibiotic. 

But prescribers in the intervention group took part in monthly coaching calls and feedback reports. In addition, if a clinician ordered a broad-spectrum antibiotic to treat pneumonia or a UTI outside of the intensive care unit within 72 hours of admission, an EHR prompt would pop up. The pop-up suggested a standard-spectrum antibiotic instead if patient risk for developing a multidrug-resistant (MDRO) version of either condition was less than 10%. 

An algorithm used data from the EHR calculated risk, using factors like patient demographics and history and MDRO infection at the community and hospital level. 

Prescribing rates were based on the number of days a patient received a broad-spectrum antibiotic during the first 72 hours of hospitalization. 

For the UTI intervention group, rates dropped by 17.4% (rate ratio [RR], 0.83; 95% CI, 0.77-0.89; P < .001), and 28.4% reduction in the pneumonia group (RR, 0.72; 95% CI, 0.66-0.78; P < .001). 

“We cannot know which element — prompt, education, or feedback — worked, but the data suggests that the prompt was the main driver,” Dr. Gohil said.

“In antibiotic stewardship, we have learned not only that doctors want to do the right thing, but that we as stewards need to make it easy for them do the right thing,” said Paul Pottinger, MD, professor of medicine at the Division of Allergy and Infectious Diseases at the University of Washington Medical Center in Seattle. 

The prompt “is your easy button,” said Dr. Pottinger, who was not involved with either study. “The researchers made it simple, fast, and straightforward, so people don’t have to think about it too much.”

The studies showed similar safety outcomes for the control and intervention groups. Among patients with a UTI, those in the control group were transferred to the ICU after an average of 6.6 days compared to 7 days in the intervention group. Among patients with pneumonia, the average days to ICU transfer were 6.5 for the control group and 7.1 for the intervention group. 

“This study is a proof of concept that physicians want to do the right thing and are willing to trust this information,” Dr. Pottinger said. “And this also shows us that this tool can be refined and made even more precise over time.” 

The study was funded by the US Centers for Disease Control and Prevention and was led by the University of California Irvine, Harvard Pilgrim Healthcare Institute, and HCA Healthcare System. Various authors report funding and support from entities outside the submitted work. The full list can be found with the original articles.

A version of this article appeared on Medscape.com.

 



An algorithm-driven risk assessment embedded in an electronic health record (EHR) helped clinicians reduce inappropriate broad-spectrum antibiotic prescribing by 17.4% and 28.4% in patients with UTIs and pneumonia, respectively, according to two related studies published in JAMA.

The randomized control trials included more than 200,000 adult patients with non–life threatening pneumonia or urinary tract infections (UTIs) in 59 hospitals owned by HCA Healthcare across the country. 

Researchers analyzed baseline prescribing behaviors over an 18-month period starting in April 2017, and data from a 15-month period of implementation of the new antibiotic system starting in April 2019.

They focused on the use of broad-spectrum antibiotics during the first 3 days of hospital admission, before microbiologic test results came back, and when clinicians are likely to err on the side of caution and prescribe one of the drugs, according to lead author Shruti K. Gohil, MD, MPH, associate medical director of epidemiology and infection prevention, infectious diseases at the University of California Irvine School of Medicine. 

“When a patient comes in with pneumonia or a UTI, it’s precisely because we are concerned that our patients have a multidrug-resistant organism that we end up using broad-spectrum antibiotics,” she said. 

Despite growing awareness of the need to reduce unnecessary antibiotic use, clinicians have still been slow to adopt a more conservative approach to prescribing, Dr. Gohil said. 

“What physicians have been needing is something to hang their hat on, to be able to say, ‘Okay, well, this one’s a low-risk person,’ ” Dr. Gohil said. 

The trials compared the impact of routine antibiotic activities with a stewardship bundle, called INSPIRE (Intelligent Stewardship Prompts to Improve Real-time Empiric Antibiotic Selection). 

Both groups received educational materials, quarterly coaching calls, prospective evaluations for antibiotic use, and were required to select a reason for prescribing an antibiotic. 

But prescribers in the intervention group took part in monthly coaching calls and feedback reports. In addition, if a clinician ordered a broad-spectrum antibiotic to treat pneumonia or a UTI outside of the intensive care unit within 72 hours of admission, an EHR prompt would pop up. The pop-up suggested a standard-spectrum antibiotic instead if patient risk for developing a multidrug-resistant (MDRO) version of either condition was less than 10%. 

An algorithm used data from the EHR calculated risk, using factors like patient demographics and history and MDRO infection at the community and hospital level. 

Prescribing rates were based on the number of days a patient received a broad-spectrum antibiotic during the first 72 hours of hospitalization. 

For the UTI intervention group, rates dropped by 17.4% (rate ratio [RR], 0.83; 95% CI, 0.77-0.89; P < .001), and 28.4% reduction in the pneumonia group (RR, 0.72; 95% CI, 0.66-0.78; P < .001). 

“We cannot know which element — prompt, education, or feedback — worked, but the data suggests that the prompt was the main driver,” Dr. Gohil said.

“In antibiotic stewardship, we have learned not only that doctors want to do the right thing, but that we as stewards need to make it easy for them do the right thing,” said Paul Pottinger, MD, professor of medicine at the Division of Allergy and Infectious Diseases at the University of Washington Medical Center in Seattle. 

The prompt “is your easy button,” said Dr. Pottinger, who was not involved with either study. “The researchers made it simple, fast, and straightforward, so people don’t have to think about it too much.”

The studies showed similar safety outcomes for the control and intervention groups. Among patients with a UTI, those in the control group were transferred to the ICU after an average of 6.6 days compared to 7 days in the intervention group. Among patients with pneumonia, the average days to ICU transfer were 6.5 for the control group and 7.1 for the intervention group. 

“This study is a proof of concept that physicians want to do the right thing and are willing to trust this information,” Dr. Pottinger said. “And this also shows us that this tool can be refined and made even more precise over time.” 

The study was funded by the US Centers for Disease Control and Prevention and was led by the University of California Irvine, Harvard Pilgrim Healthcare Institute, and HCA Healthcare System. Various authors report funding and support from entities outside the submitted work. The full list can be found with the original articles.

A version of this article appeared on Medscape.com.

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Teleneurology for Suspected Stroke Speeds Treatment

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Changed
Wed, 04/24/2024 - 15:14

 

Alerting neurologists via telemedicine that a patient with suspected acute stroke is en route to the hospital significantly enhances the speed at which thrombolysis is administered and increases the number of patients who receive timelier, potentially lifesaving treatment, new research showed.

“This preliminary evidence supports adopting teleneurology prenotification as a best practice within health systems that have telestroke capabilities,” said study investigator Mark McDonald, MD, a neurologist at TeleSpecialists, Fort Myers, Florida.

The findings were presented at the 2024 annual meeting of the American Academy of Neurology.
 

Best Practices

The impact of emergency medical services prenotification, which refers to paramedics alerting receiving hospital emergency departments (EDs) of a suspected stroke on the way for appropriate preparations to be made, is well-defined, said Dr. McDonald.

“What we’re proposing as a best practice is not only should the ED or ED provider be aware, but there needs to be a system in place for standardizing communication to the neurology team so they’re aware, too.”

Prenotification allows a neurologist to “get on the screen to begin coordinating with the ED team to adequately prepare for the possibility of thrombolytic treatment,” he added.

Currently, teleneurology prenotification, he said, is variable and its benefits unclear.

Dr. McDonald said “his organization, TeleSpecialists, maintains a large detailed medical records database for emergency-related, teleneurology, and other cases. For stroke, it recommends 15 best practices” for facilities including prenotification of teleneurology.

Other best practices include evaluating and administering thrombolysis in the CT imaging suite, a preassembled stroke kit that includes antihypertensives and thrombolytic agents, ensuring a weigh bed is available to determine the exact dose of thrombolysis treatment, and implementing “mock” stroke alerts, said Dr. McDonald.

From the database, researchers extracted acute telestroke consultations seen in the ED in 103 facilities in 15 states. Facilities that did not adhere to the 14 best practices other than teleneurologist prenotification were excluded from the analysis.

Of 9290 patients included in the study, 731 were treated with thrombolysis at prenotification facilities (median age, 69 years; median National Institutes of Health Stroke Score [NIHSS], 8) and 31 were treated at facilities without prenotification (median age, 63 years; median NIHSS score, 4). The thrombolytic treatment rate was 8.5% at prenotification facilities versus 4.8% at facilities without prenotification — a difference that was statistically significant.

Prenotification facilities had a significantly shorter median door-to-needle (DTN) time than those without such a process at 35 versus 43 minutes. In addition, there was a statistically significant difference in the percentage of patients with times less than 60 minutes at approximately 88% at prenotification facilities versus about 68% at the facilities without prenotification.
 

Case-Level Analysis

However, just because a facility adheres to teleneurology prenotification as a whole, doesn’t mean it occurs in every case. Researchers explored the impact of teleneurology prenotification at the case level rather than the facility level.

“That gave us a bit more insight into the real impact because it’s not just being at a facility with the best practice; it’s actually working case by case to see whether it happened or not and that’s where we get the most compelling findings,” said Dr. McDonald.

Of 761 treatment cases, there was prenotification to the neurology team in 401 cases. In 360 cases, prenotification did not occur.

The median DTN time was 29 minutes in the group with actual prenotification vs 41.5 minutes in the group without actual prenotification, a difference that was statistically significant, Dr. McDonald said.

As for treatment within 30 minutes of arrival, 50.4% of patients in the teleneurology prenotification group versus 18.9% in the no prenotification group — a statistically significant difference.

DTN time of less than 30 minutes is increasingly used as a target. “Being treated within this time frame improves outcomes and reduces length of hospital stay,” said Dr. McDonald.

The prenotification group also had a statistically significant higher percentage of treatment within 60 minutes of hospital arrival (93.5% vs 80%).

These new findings should help convince health and telestroke systems that teleneurology prenotification is worth implementing. “We want to achieve consensus on this as a best practice,” said Dr. McDonald.

Prenotification, he added, “coordinates the process and eliminates unnecessary and time-consuming steps.”

Dr. McDonald plans to prospectively study prenotification by collecting data on a facility before and after implementing a prenotification process.
 

 

 

Compelling Evidence

Commenting on the research, David L. Tirschwell, MD, Harborview Medical Center, Department of Neurology, Seattle, who cochaired the AAN session featuring the research, said the study provides compelling evidence that teleneurologist prenotification improves DTN time.

“Prenotifications are often standard of care in many healthcare settings and should likely be considered a best practice. When possible, extending such prenotification to a teleconsultant would make sense, and these preliminary data support that approach.”

However, more details are needed “to consider whether the intervention is possibly generalizable to other telestroke practices across the United States,” said Dr. Tirschwell.

Dr. McDonald reported receiving personal compensation for serving as a consultant for Syntrillo Inc. and has stock in Syntrillo Inc. Dr. Tirschwell reported no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

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Alerting neurologists via telemedicine that a patient with suspected acute stroke is en route to the hospital significantly enhances the speed at which thrombolysis is administered and increases the number of patients who receive timelier, potentially lifesaving treatment, new research showed.

“This preliminary evidence supports adopting teleneurology prenotification as a best practice within health systems that have telestroke capabilities,” said study investigator Mark McDonald, MD, a neurologist at TeleSpecialists, Fort Myers, Florida.

The findings were presented at the 2024 annual meeting of the American Academy of Neurology.
 

Best Practices

The impact of emergency medical services prenotification, which refers to paramedics alerting receiving hospital emergency departments (EDs) of a suspected stroke on the way for appropriate preparations to be made, is well-defined, said Dr. McDonald.

“What we’re proposing as a best practice is not only should the ED or ED provider be aware, but there needs to be a system in place for standardizing communication to the neurology team so they’re aware, too.”

Prenotification allows a neurologist to “get on the screen to begin coordinating with the ED team to adequately prepare for the possibility of thrombolytic treatment,” he added.

Currently, teleneurology prenotification, he said, is variable and its benefits unclear.

Dr. McDonald said “his organization, TeleSpecialists, maintains a large detailed medical records database for emergency-related, teleneurology, and other cases. For stroke, it recommends 15 best practices” for facilities including prenotification of teleneurology.

Other best practices include evaluating and administering thrombolysis in the CT imaging suite, a preassembled stroke kit that includes antihypertensives and thrombolytic agents, ensuring a weigh bed is available to determine the exact dose of thrombolysis treatment, and implementing “mock” stroke alerts, said Dr. McDonald.

From the database, researchers extracted acute telestroke consultations seen in the ED in 103 facilities in 15 states. Facilities that did not adhere to the 14 best practices other than teleneurologist prenotification were excluded from the analysis.

Of 9290 patients included in the study, 731 were treated with thrombolysis at prenotification facilities (median age, 69 years; median National Institutes of Health Stroke Score [NIHSS], 8) and 31 were treated at facilities without prenotification (median age, 63 years; median NIHSS score, 4). The thrombolytic treatment rate was 8.5% at prenotification facilities versus 4.8% at facilities without prenotification — a difference that was statistically significant.

Prenotification facilities had a significantly shorter median door-to-needle (DTN) time than those without such a process at 35 versus 43 minutes. In addition, there was a statistically significant difference in the percentage of patients with times less than 60 minutes at approximately 88% at prenotification facilities versus about 68% at the facilities without prenotification.
 

Case-Level Analysis

However, just because a facility adheres to teleneurology prenotification as a whole, doesn’t mean it occurs in every case. Researchers explored the impact of teleneurology prenotification at the case level rather than the facility level.

“That gave us a bit more insight into the real impact because it’s not just being at a facility with the best practice; it’s actually working case by case to see whether it happened or not and that’s where we get the most compelling findings,” said Dr. McDonald.

Of 761 treatment cases, there was prenotification to the neurology team in 401 cases. In 360 cases, prenotification did not occur.

The median DTN time was 29 minutes in the group with actual prenotification vs 41.5 minutes in the group without actual prenotification, a difference that was statistically significant, Dr. McDonald said.

As for treatment within 30 minutes of arrival, 50.4% of patients in the teleneurology prenotification group versus 18.9% in the no prenotification group — a statistically significant difference.

DTN time of less than 30 minutes is increasingly used as a target. “Being treated within this time frame improves outcomes and reduces length of hospital stay,” said Dr. McDonald.

The prenotification group also had a statistically significant higher percentage of treatment within 60 minutes of hospital arrival (93.5% vs 80%).

These new findings should help convince health and telestroke systems that teleneurology prenotification is worth implementing. “We want to achieve consensus on this as a best practice,” said Dr. McDonald.

Prenotification, he added, “coordinates the process and eliminates unnecessary and time-consuming steps.”

Dr. McDonald plans to prospectively study prenotification by collecting data on a facility before and after implementing a prenotification process.
 

 

 

Compelling Evidence

Commenting on the research, David L. Tirschwell, MD, Harborview Medical Center, Department of Neurology, Seattle, who cochaired the AAN session featuring the research, said the study provides compelling evidence that teleneurologist prenotification improves DTN time.

“Prenotifications are often standard of care in many healthcare settings and should likely be considered a best practice. When possible, extending such prenotification to a teleconsultant would make sense, and these preliminary data support that approach.”

However, more details are needed “to consider whether the intervention is possibly generalizable to other telestroke practices across the United States,” said Dr. Tirschwell.

Dr. McDonald reported receiving personal compensation for serving as a consultant for Syntrillo Inc. and has stock in Syntrillo Inc. Dr. Tirschwell reported no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

 

Alerting neurologists via telemedicine that a patient with suspected acute stroke is en route to the hospital significantly enhances the speed at which thrombolysis is administered and increases the number of patients who receive timelier, potentially lifesaving treatment, new research showed.

“This preliminary evidence supports adopting teleneurology prenotification as a best practice within health systems that have telestroke capabilities,” said study investigator Mark McDonald, MD, a neurologist at TeleSpecialists, Fort Myers, Florida.

The findings were presented at the 2024 annual meeting of the American Academy of Neurology.
 

Best Practices

The impact of emergency medical services prenotification, which refers to paramedics alerting receiving hospital emergency departments (EDs) of a suspected stroke on the way for appropriate preparations to be made, is well-defined, said Dr. McDonald.

“What we’re proposing as a best practice is not only should the ED or ED provider be aware, but there needs to be a system in place for standardizing communication to the neurology team so they’re aware, too.”

Prenotification allows a neurologist to “get on the screen to begin coordinating with the ED team to adequately prepare for the possibility of thrombolytic treatment,” he added.

Currently, teleneurology prenotification, he said, is variable and its benefits unclear.

Dr. McDonald said “his organization, TeleSpecialists, maintains a large detailed medical records database for emergency-related, teleneurology, and other cases. For stroke, it recommends 15 best practices” for facilities including prenotification of teleneurology.

Other best practices include evaluating and administering thrombolysis in the CT imaging suite, a preassembled stroke kit that includes antihypertensives and thrombolytic agents, ensuring a weigh bed is available to determine the exact dose of thrombolysis treatment, and implementing “mock” stroke alerts, said Dr. McDonald.

From the database, researchers extracted acute telestroke consultations seen in the ED in 103 facilities in 15 states. Facilities that did not adhere to the 14 best practices other than teleneurologist prenotification were excluded from the analysis.

Of 9290 patients included in the study, 731 were treated with thrombolysis at prenotification facilities (median age, 69 years; median National Institutes of Health Stroke Score [NIHSS], 8) and 31 were treated at facilities without prenotification (median age, 63 years; median NIHSS score, 4). The thrombolytic treatment rate was 8.5% at prenotification facilities versus 4.8% at facilities without prenotification — a difference that was statistically significant.

Prenotification facilities had a significantly shorter median door-to-needle (DTN) time than those without such a process at 35 versus 43 minutes. In addition, there was a statistically significant difference in the percentage of patients with times less than 60 minutes at approximately 88% at prenotification facilities versus about 68% at the facilities without prenotification.
 

Case-Level Analysis

However, just because a facility adheres to teleneurology prenotification as a whole, doesn’t mean it occurs in every case. Researchers explored the impact of teleneurology prenotification at the case level rather than the facility level.

“That gave us a bit more insight into the real impact because it’s not just being at a facility with the best practice; it’s actually working case by case to see whether it happened or not and that’s where we get the most compelling findings,” said Dr. McDonald.

Of 761 treatment cases, there was prenotification to the neurology team in 401 cases. In 360 cases, prenotification did not occur.

The median DTN time was 29 minutes in the group with actual prenotification vs 41.5 minutes in the group without actual prenotification, a difference that was statistically significant, Dr. McDonald said.

As for treatment within 30 minutes of arrival, 50.4% of patients in the teleneurology prenotification group versus 18.9% in the no prenotification group — a statistically significant difference.

DTN time of less than 30 minutes is increasingly used as a target. “Being treated within this time frame improves outcomes and reduces length of hospital stay,” said Dr. McDonald.

The prenotification group also had a statistically significant higher percentage of treatment within 60 minutes of hospital arrival (93.5% vs 80%).

These new findings should help convince health and telestroke systems that teleneurology prenotification is worth implementing. “We want to achieve consensus on this as a best practice,” said Dr. McDonald.

Prenotification, he added, “coordinates the process and eliminates unnecessary and time-consuming steps.”

Dr. McDonald plans to prospectively study prenotification by collecting data on a facility before and after implementing a prenotification process.
 

 

 

Compelling Evidence

Commenting on the research, David L. Tirschwell, MD, Harborview Medical Center, Department of Neurology, Seattle, who cochaired the AAN session featuring the research, said the study provides compelling evidence that teleneurologist prenotification improves DTN time.

“Prenotifications are often standard of care in many healthcare settings and should likely be considered a best practice. When possible, extending such prenotification to a teleconsultant would make sense, and these preliminary data support that approach.”

However, more details are needed “to consider whether the intervention is possibly generalizable to other telestroke practices across the United States,” said Dr. Tirschwell.

Dr. McDonald reported receiving personal compensation for serving as a consultant for Syntrillo Inc. and has stock in Syntrillo Inc. Dr. Tirschwell reported no relevant conflicts of interest.

A version of this article appeared on Medscape.com.

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Which Emergencies Are Genuine Emergencies?

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Wed, 04/24/2024 - 13:03

 



— Crowded waiting rooms, long wait times, irritable patients, and aggression toward nursing staff and doctors are increasingly the reality in German emergency rooms. Clearly, emergencies belong in the emergency room. However, “In about half of all patients in the emergency room, there is no urgent medical emergency,” Norbert Schütz, MD, director of geriatrics and rheumatology at Helios Dr. Horst Schmidt Hospital in Wiesbaden, Germany, said at a press conference for the 130th Annual Meeting of the German Society of Internal Medicine (DGIM).

“In our daily medical practice, we repeatedly experience people either accessing our emergency departments and ambulances too quickly or lingering at home for too long when they have severe symptoms,” said Dr. Schütz, who organized the Patient Day during the Internist Congress.
 

DGIM Educates Patients

What is an emergency? “I think the public is quite well informed about conditions associated with loss of consciousness, severe pain, chest pain, or paralysis: Think stroke or heart attack. This is undoubtedly a success of recent years. The difficulty arises with everything in between. For instance, should I go to the hospital with severe headaches?” asked Dr. Schütz.

When is a patient a case for the emergency room, the physician on-call service, or the general practitioner? At the Patient Day in Wiesbaden, DGIM aims to educate and train interested parties with a dedicated lecture. The focus is on recognizing an emergency, specifically emergencies in children and mental illnesses.

“Our Patient Day aims to contribute to making the right decisions. We want to inform, answer questions, and alleviate fears,” said Dr. Schütz. Interested parties can refresh their emergency knowledge, tour ambulances, and have the equipment explained. The public also has the opportunity to learn about resuscitation techniques theoretically and practically.

“In general, the general practitioner should always be the first point of contact. They know their patients best and have the most background information,” explained Dr. Schütz. A trusting relationship is crucial for correctly assessing an unclear medical situation. “Should, for whatever reason, the general practitioner not be reachable, the physician on-call service can be reached,” said Dr. Schütz. It may happen, however, that neither the general practitioner nor the on-call physician is immediately available.
 

What Are Emergencies?

In cases of severe health impairment, urgency is required, and a severe emergency should be assumed in the following cases:

  • Chest pain
  • Circulatory disorder
  • Disorders of consciousness
  • Breathing difficulties
  • Sudden weakness or numbness/paralysis
  • Severe bleeding
  • Allergic shock

“In such cases, the emergency departments of the hospitals are available around the clock, and if necessary, an emergency doctor should be present during transportation to the hospital,” said Dr. Schütz.

Classifying emergencies is challenging, especially with children. “Children often find it difficult to clearly categorize or describe symptoms,” said Dr. Schütz. A situation is critical if, for example, the child’s breathing or consciousness is impaired.

Mental emergencies pose a particular challenge for patients and relatives because the patient and relatives are often overwhelmed by the situation. If there are suicidal thoughts, the patient should present him- or herself immediately to an emergency room.

“Patients who come to the emergency room because they cannot get appointments with their general practitioner or specialist, for whatever reason, are no emergency. We also see this in the emergency room from time to time,” said Dr. Schütz. Emergency rooms are not intended for this purpose. “And generally, these are not emergencies.”
 

 

 

Four of 10 Cases

The number of patients in emergency rooms has steadily increased in recent years. Statistically, only 4 out of 10 cases are genuine emergencies, as detailed surveys of patients in the emergency rooms of northern German hospitals have shown.

In the PiNo Nord cross-sectional study, Martin Scherer, MD, of University Hospital Hamburg-Eppendorf in Hamburg, Germany, and his team examined the reasons why patients visit the emergency room. They interviewed 1175 patients in five hospitals and documented the medical diagnoses. Patients classified as “immediately” or “very urgently” in need of treatment were excluded.

The surveyed patients were on average 41.8 years old, 52.9% were men, and 54.7% of the patients indicated a low urgency of treatment. About 41% of the patients visited the emergency room on their own initiative, 17% stated they were referred or entrusted by their general practitioner, and 8% were referred by a specialist in the emergency room.

The strongest predictors for low subjective treatment urgency were musculoskeletal trauma (odds ratio [OR], 2.18), skin afflictions (OR, 2.15), and the unavailability of an open general practitioner’s office (OR, 1.70).

According to Dr. Scherer and his colleagues, the reasons for visiting an emergency room are diverse and can be based on the perceived structural conditions and individual patient preferences in addition to the urgency of the health problem.
 

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

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— Crowded waiting rooms, long wait times, irritable patients, and aggression toward nursing staff and doctors are increasingly the reality in German emergency rooms. Clearly, emergencies belong in the emergency room. However, “In about half of all patients in the emergency room, there is no urgent medical emergency,” Norbert Schütz, MD, director of geriatrics and rheumatology at Helios Dr. Horst Schmidt Hospital in Wiesbaden, Germany, said at a press conference for the 130th Annual Meeting of the German Society of Internal Medicine (DGIM).

“In our daily medical practice, we repeatedly experience people either accessing our emergency departments and ambulances too quickly or lingering at home for too long when they have severe symptoms,” said Dr. Schütz, who organized the Patient Day during the Internist Congress.
 

DGIM Educates Patients

What is an emergency? “I think the public is quite well informed about conditions associated with loss of consciousness, severe pain, chest pain, or paralysis: Think stroke or heart attack. This is undoubtedly a success of recent years. The difficulty arises with everything in between. For instance, should I go to the hospital with severe headaches?” asked Dr. Schütz.

When is a patient a case for the emergency room, the physician on-call service, or the general practitioner? At the Patient Day in Wiesbaden, DGIM aims to educate and train interested parties with a dedicated lecture. The focus is on recognizing an emergency, specifically emergencies in children and mental illnesses.

“Our Patient Day aims to contribute to making the right decisions. We want to inform, answer questions, and alleviate fears,” said Dr. Schütz. Interested parties can refresh their emergency knowledge, tour ambulances, and have the equipment explained. The public also has the opportunity to learn about resuscitation techniques theoretically and practically.

“In general, the general practitioner should always be the first point of contact. They know their patients best and have the most background information,” explained Dr. Schütz. A trusting relationship is crucial for correctly assessing an unclear medical situation. “Should, for whatever reason, the general practitioner not be reachable, the physician on-call service can be reached,” said Dr. Schütz. It may happen, however, that neither the general practitioner nor the on-call physician is immediately available.
 

What Are Emergencies?

In cases of severe health impairment, urgency is required, and a severe emergency should be assumed in the following cases:

  • Chest pain
  • Circulatory disorder
  • Disorders of consciousness
  • Breathing difficulties
  • Sudden weakness or numbness/paralysis
  • Severe bleeding
  • Allergic shock

“In such cases, the emergency departments of the hospitals are available around the clock, and if necessary, an emergency doctor should be present during transportation to the hospital,” said Dr. Schütz.

Classifying emergencies is challenging, especially with children. “Children often find it difficult to clearly categorize or describe symptoms,” said Dr. Schütz. A situation is critical if, for example, the child’s breathing or consciousness is impaired.

Mental emergencies pose a particular challenge for patients and relatives because the patient and relatives are often overwhelmed by the situation. If there are suicidal thoughts, the patient should present him- or herself immediately to an emergency room.

“Patients who come to the emergency room because they cannot get appointments with their general practitioner or specialist, for whatever reason, are no emergency. We also see this in the emergency room from time to time,” said Dr. Schütz. Emergency rooms are not intended for this purpose. “And generally, these are not emergencies.”
 

 

 

Four of 10 Cases

The number of patients in emergency rooms has steadily increased in recent years. Statistically, only 4 out of 10 cases are genuine emergencies, as detailed surveys of patients in the emergency rooms of northern German hospitals have shown.

In the PiNo Nord cross-sectional study, Martin Scherer, MD, of University Hospital Hamburg-Eppendorf in Hamburg, Germany, and his team examined the reasons why patients visit the emergency room. They interviewed 1175 patients in five hospitals and documented the medical diagnoses. Patients classified as “immediately” or “very urgently” in need of treatment were excluded.

The surveyed patients were on average 41.8 years old, 52.9% were men, and 54.7% of the patients indicated a low urgency of treatment. About 41% of the patients visited the emergency room on their own initiative, 17% stated they were referred or entrusted by their general practitioner, and 8% were referred by a specialist in the emergency room.

The strongest predictors for low subjective treatment urgency were musculoskeletal trauma (odds ratio [OR], 2.18), skin afflictions (OR, 2.15), and the unavailability of an open general practitioner’s office (OR, 1.70).

According to Dr. Scherer and his colleagues, the reasons for visiting an emergency room are diverse and can be based on the perceived structural conditions and individual patient preferences in addition to the urgency of the health problem.
 

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

 



— Crowded waiting rooms, long wait times, irritable patients, and aggression toward nursing staff and doctors are increasingly the reality in German emergency rooms. Clearly, emergencies belong in the emergency room. However, “In about half of all patients in the emergency room, there is no urgent medical emergency,” Norbert Schütz, MD, director of geriatrics and rheumatology at Helios Dr. Horst Schmidt Hospital in Wiesbaden, Germany, said at a press conference for the 130th Annual Meeting of the German Society of Internal Medicine (DGIM).

“In our daily medical practice, we repeatedly experience people either accessing our emergency departments and ambulances too quickly or lingering at home for too long when they have severe symptoms,” said Dr. Schütz, who organized the Patient Day during the Internist Congress.
 

DGIM Educates Patients

What is an emergency? “I think the public is quite well informed about conditions associated with loss of consciousness, severe pain, chest pain, or paralysis: Think stroke or heart attack. This is undoubtedly a success of recent years. The difficulty arises with everything in between. For instance, should I go to the hospital with severe headaches?” asked Dr. Schütz.

When is a patient a case for the emergency room, the physician on-call service, or the general practitioner? At the Patient Day in Wiesbaden, DGIM aims to educate and train interested parties with a dedicated lecture. The focus is on recognizing an emergency, specifically emergencies in children and mental illnesses.

“Our Patient Day aims to contribute to making the right decisions. We want to inform, answer questions, and alleviate fears,” said Dr. Schütz. Interested parties can refresh their emergency knowledge, tour ambulances, and have the equipment explained. The public also has the opportunity to learn about resuscitation techniques theoretically and practically.

“In general, the general practitioner should always be the first point of contact. They know their patients best and have the most background information,” explained Dr. Schütz. A trusting relationship is crucial for correctly assessing an unclear medical situation. “Should, for whatever reason, the general practitioner not be reachable, the physician on-call service can be reached,” said Dr. Schütz. It may happen, however, that neither the general practitioner nor the on-call physician is immediately available.
 

What Are Emergencies?

In cases of severe health impairment, urgency is required, and a severe emergency should be assumed in the following cases:

  • Chest pain
  • Circulatory disorder
  • Disorders of consciousness
  • Breathing difficulties
  • Sudden weakness or numbness/paralysis
  • Severe bleeding
  • Allergic shock

“In such cases, the emergency departments of the hospitals are available around the clock, and if necessary, an emergency doctor should be present during transportation to the hospital,” said Dr. Schütz.

Classifying emergencies is challenging, especially with children. “Children often find it difficult to clearly categorize or describe symptoms,” said Dr. Schütz. A situation is critical if, for example, the child’s breathing or consciousness is impaired.

Mental emergencies pose a particular challenge for patients and relatives because the patient and relatives are often overwhelmed by the situation. If there are suicidal thoughts, the patient should present him- or herself immediately to an emergency room.

“Patients who come to the emergency room because they cannot get appointments with their general practitioner or specialist, for whatever reason, are no emergency. We also see this in the emergency room from time to time,” said Dr. Schütz. Emergency rooms are not intended for this purpose. “And generally, these are not emergencies.”
 

 

 

Four of 10 Cases

The number of patients in emergency rooms has steadily increased in recent years. Statistically, only 4 out of 10 cases are genuine emergencies, as detailed surveys of patients in the emergency rooms of northern German hospitals have shown.

In the PiNo Nord cross-sectional study, Martin Scherer, MD, of University Hospital Hamburg-Eppendorf in Hamburg, Germany, and his team examined the reasons why patients visit the emergency room. They interviewed 1175 patients in five hospitals and documented the medical diagnoses. Patients classified as “immediately” or “very urgently” in need of treatment were excluded.

The surveyed patients were on average 41.8 years old, 52.9% were men, and 54.7% of the patients indicated a low urgency of treatment. About 41% of the patients visited the emergency room on their own initiative, 17% stated they were referred or entrusted by their general practitioner, and 8% were referred by a specialist in the emergency room.

The strongest predictors for low subjective treatment urgency were musculoskeletal trauma (odds ratio [OR], 2.18), skin afflictions (OR, 2.15), and the unavailability of an open general practitioner’s office (OR, 1.70).

According to Dr. Scherer and his colleagues, the reasons for visiting an emergency room are diverse and can be based on the perceived structural conditions and individual patient preferences in addition to the urgency of the health problem.
 

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

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Federal Trade Commission Bans Noncompete Agreements, Urges More Protections for Healthcare Workers

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Wed, 04/24/2024 - 12:35

 

The Federal Trade Commission (FTC) voted Tuesday to ban noncompete agreements, possibly making it easier for doctors to switch employers without having to leave their communities and patients behind. But business groups have vowed to challenge the decision in court.

The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.

Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.

While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.

US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.

The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.

Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.

For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”

Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.

It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.

“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.

The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
 

States, AMA Take Aim at Noncompetes

Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.

The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.

Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.

Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.

Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.

Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
 

 

 

Challenges Await

The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.

To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.

Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”

A version of this article appeared on Medscape.com.

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The Federal Trade Commission (FTC) voted Tuesday to ban noncompete agreements, possibly making it easier for doctors to switch employers without having to leave their communities and patients behind. But business groups have vowed to challenge the decision in court.

The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.

Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.

While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.

US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.

The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.

Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.

For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”

Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.

It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.

“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.

The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
 

States, AMA Take Aim at Noncompetes

Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.

The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.

Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.

Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.

Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.

Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
 

 

 

Challenges Await

The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.

To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.

Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”

A version of this article appeared on Medscape.com.

 

The Federal Trade Commission (FTC) voted Tuesday to ban noncompete agreements, possibly making it easier for doctors to switch employers without having to leave their communities and patients behind. But business groups have vowed to challenge the decision in court.

The proposed final rule passed on a 3-2 vote, with the dissenting commissioners disputing the FTC’s authority to broadly ban noncompetes.

Tensions around noncompetes have been building for years. In 2021, President Biden issued an executive order supporting measures to improve economic competition, in which he urged the FTC to consider its rulemaking authority to address noncompete clauses that unfairly limit workers’ mobility. In January 2023, per that directive, the agency proposed ending the restrictive covenants.

While the FTC estimates that the final rule will reduce healthcare costs by up to $194 billion over the next decade and increase worker earnings by $300 million annually, the ruling faces legal hurdles.

US Chamber of Commerce president and CEO Suzanne P. Clark said in a statement that the move is a “blatant power grab” that will undermine competitive business practices, adding that the Chamber will sue to block the measure.

The FTC received more than 26,000 comments on noncompetes during the public feedback period, with about 25,000 supporting the measure, said Benjamin Cady, JD, an FTC attorney.

Mr. Cady called the feedback “compelling,” citing instances of workers who were forced to commute long distances, uproot their families, or risk expensive litigation for wanting to pursue job opportunities.

For example, a comment from a physician working in Appalachia highlights the potential real-life implications of the agreements. “With hospital systems merging, providers with aggressive noncompetes must abandon the community that they serve if they [choose] to leave their employer. Healthcare providers feel trapped in their current employment situation, leading to significant burnout that can shorten their [career] longevity.”

Commissioner Alvaro Bedoya said physicians have had their lives upended by cumbersome noncompetes, often having to move out of state to practice. “A pandemic killed a million people in this country, and there are doctors who cannot work because of a noncompete,” he said.

It’s unclear whether physicians and others who work for nonprofit healthcare groups or hospitals will be covered by the new ban. FTC Commissioner Rebecca Slaughter acknowledged that the agency’s jurisdictional limitations mean that employees of “certain nonprofit organizations” may not benefit from the rule.

“We want to be transparent about the limitation and recognize there are workers, especially healthcare workers, who are bound by anticompetitive and unfair noncompete clauses, that our rule will struggle to reach,” she said. To cover nonprofit healthcare employees, Ms. Slaughter urged Congress to pass legislation banning noncompetes, such as the Workforce Mobility Act of 2021 and the Freedom to Compete Act of 2023.

The FTC final rule will take effect 120 days after it is published in the federal register, and new noncompete agreements will be banned as of this date. However, existing contracts for senior executives will remain in effect because these individuals are less likely to experience “acute harm” due to their ability to negotiate accordingly, said Mr. Cady.
 

States, AMA Take Aim at Noncompetes

Before the federal ban, several states had already passed legislation limiting the reach of noncompetes. According to a recent article in the Journal of the American College of Cardiology12 states prohibit noncompete clauses for physicians: Alabama, California, Colorado, Delaware, Massachusetts, Montana, New Hampshire, New Mexico, North Dakota, Oklahoma, Rhode Island, and South Dakota.

The remaining states allow noncompetes in some form, often excluding them for employees earning below a certain threshold. For example, in Oregon, noncompete agreements may apply to employees earning more than $113,241. Most states have provisions to adjust the threshold annually. The District of Columbia permits 2-year noncompetes for “medical specialists” earning over $250,000 annually.

Indiana employers can no longer enter into noncompete agreements with primary care providers. Other specialties may be subject to the clauses, except when the physician terminates the contract for cause or when an employer terminates the contract without cause.

Rachel Marcus, MD, a cardiologist in Washington, DC, found out how limiting her employment contract’s noncompete clause was when she wanted to leave a former position. Due to the restrictions, she told this news organization that she couldn’t work locally for a competitor for 2 years. The closest location she could seek employment without violating the agreement was Baltimore, approximately 40 miles away.

Dr. Marcus ultimately moved to another position within the same organization because of the company’s reputation for being “aggressive” in their enforcement actions.

Although the American Medical Association (AMA) does not support a total ban, its House of Delegates adopted policies last year to support the prohibition of noncompete contracts for physicians employed by for-profit or nonprofit hospitals, hospital systems, or staffing companies.
 

 

 

Challenges Await

The American Hospital Association, which opposed the proposed rule, called it “bad policy.” The decision “will likely be short-lived, with courts almost certain to stop it before it can do damage to hospitals’ ability to care for their patients and communities,” the association said in a statement.

To ease the transition to the new rule, the FTC also released a model language for employers to use when discussing the changes with their employees. “All employers need to do to comply with the rule is to stop enforcing existing noncompetes with workers other than senior executives and provide notice to such workers,” he said.

Dr. Marcus hopes the ban improves doctors’ lives. “Your employer is going to have to treat you better because they know that you can easily go across town to a place that has a higher salary, and your patient can go with you.”

A version of this article appeared on Medscape.com.

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Are Women Better Doctors Than Men?

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Changed
Wed, 04/24/2024 - 11:41

 



This transcript has been edited for clarity.

It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?

On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.

But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.

In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.

Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.

The goal was to look at outcomes across four dyads:

  • Male patient – male doctor
  • Male patient – female doctor
  • Female patient – male doctor
  • Female patient – female doctor

The primary outcome was 30-day mortality.

I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.

Dr. Wilson


Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.

So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.

I’ve graphed the results here. Female patients had a significantly lower 30-day mortality rate than male patients, but they fared even better when cared for by female doctors compared with male doctors. There wasn’t a particularly strong influence of physician sex on outcomes for male patients. The secondary outcome, 30-day hospital readmission, showed a similar trend.

Dr. Wilson


This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.

So, what is going on here? I see four broad buckets of possibilities.

Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?

The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?

The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.

The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.

Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?

And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.

Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

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This transcript has been edited for clarity.

It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?

On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.

But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.

In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.

Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.

The goal was to look at outcomes across four dyads:

  • Male patient – male doctor
  • Male patient – female doctor
  • Female patient – male doctor
  • Female patient – female doctor

The primary outcome was 30-day mortality.

I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.

Dr. Wilson


Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.

So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.

I’ve graphed the results here. Female patients had a significantly lower 30-day mortality rate than male patients, but they fared even better when cared for by female doctors compared with male doctors. There wasn’t a particularly strong influence of physician sex on outcomes for male patients. The secondary outcome, 30-day hospital readmission, showed a similar trend.

Dr. Wilson


This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.

So, what is going on here? I see four broad buckets of possibilities.

Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?

The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?

The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.

The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.

Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?

And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.

Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

 



This transcript has been edited for clarity.

It’s a battle of the sexes today as we dive into a paper that makes you say, “Wow, what an interesting study” and also “Boy, am I glad I didn’t do that study.” That’s because studies like this are always somewhat fraught; they say something about medicine but also something about society — and that makes this a bit precarious. But that’s never stopped us before. So, let’s go ahead and try to answer the question: Do women make better doctors than men?

On the surface, this question seems nearly impossible to answer. It’s too broad; what does it mean to be a “better” doctor? At first blush it seems that there are just too many variables to control for here: the type of doctor, the type of patient, the clinical scenario, and so on.

But this study, “Comparison of hospital mortality and readmission rates by physician and patient sex,” which appears in Annals of Internal Medicine, uses a fairly ingenious method to cut through all the bias by leveraging two simple facts: First, hospital medicine is largely conducted by hospitalists these days; second, due to the shift-based nature of hospitalist work, the hospitalist you get when you are admitted to the hospital is pretty much random.

In other words, if you are admitted to the hospital for an acute illness and get a hospitalist as your attending, you have no control over whether it is a man or a woman. Is this a randomized trial? No, but it’s not bad.

Researchers used Medicare claims data to identify adults over age 65 who had nonelective hospital admissions throughout the United States. The claims revealed the sex of the patient and the name of the attending physician. By linking to a medical provider database, they could determine the sex of the provider.

The goal was to look at outcomes across four dyads:

  • Male patient – male doctor
  • Male patient – female doctor
  • Female patient – male doctor
  • Female patient – female doctor

The primary outcome was 30-day mortality.

I told you that focusing on hospitalists produces some pseudorandomization, but let’s look at the data to be sure. Just under a million patients were treated by approximately 50,000 physicians, 30% of whom were female. And, though female patients and male patients differed, they did not differ with respect to the sex of their hospitalist. So, by physician sex, patients were similar in mean age, race, ethnicity, household income, eligibility for Medicaid, and comorbid conditions. The authors even created a “predicted mortality” score which was similar across the groups as well.

Dr. Wilson


Now, the female physicians were a bit different from the male physicians. The female hospitalists were slightly more likely to have an osteopathic degree, had slightly fewer admissions per year, and were a bit younger.

So, we have broadly similar patients regardless of who their hospitalist was, but hospitalists differ by factors other than their sex. Fine.

I’ve graphed the results here. Female patients had a significantly lower 30-day mortality rate than male patients, but they fared even better when cared for by female doctors compared with male doctors. There wasn’t a particularly strong influence of physician sex on outcomes for male patients. The secondary outcome, 30-day hospital readmission, showed a similar trend.

Dr. Wilson


This is a relatively small effect, to be sure, but if you multiply it across the millions of hospitalist admissions per year, you can start to put up some real numbers.

So, what is going on here? I see four broad buckets of possibilities.

Let’s start with the obvious explanation: Women, on average, are better doctors than men. I am married to a woman doctor, and based on my personal experience, this explanation is undoubtedly true. But why would that be?

The authors cite data that suggest that female physicians are less likely than male physicians to dismiss patient concerns — and in particular, the concerns of female patients — perhaps leading to fewer missed diagnoses. But this is impossible to measure with administrative data, so this study can no more tell us whether these female hospitalists are more attentive than their male counterparts than it can suggest that the benefit is mediated by the shorter average height of female physicians. Perhaps the key is being closer to the patient?

The second possibility here is that this has nothing to do with the sex of the physician at all; it has to do with those other things that associate with the sex of the physician. We know, for example, that the female physicians saw fewer patients per year than the male physicians, but the study authors adjusted for this in the statistical models. Still, other unmeasured factors (confounders) could be present. By the way, confounders wouldn’t necessarily change the primary finding — you are better off being cared for by female physicians. It’s just not because they are female; it’s a convenient marker for some other quality, such as age.

The third possibility is that the study represents a phenomenon called collider bias. The idea here is that physicians only get into the study if they are hospitalists, and the quality of physicians who choose to become a hospitalist may differ by sex. When deciding on a specialty, a talented resident considering certain lifestyle issues may find hospital medicine particularly attractive — and that draw toward a more lifestyle-friendly specialty may differ by sex, as some prior studies have shown. If true, the pool of women hospitalists may be better than their male counterparts because male physicians of that caliber don’t become hospitalists.

Okay, don’t write in. I’m just trying to cite examples of how to think about collider bias. I can’t prove that this is the case, and in fact the authors do a sensitivity analysis of all physicians, not just hospitalists, and show the same thing. So this is probably not true, but epidemiology is fun, right?

And the fourth possibility: This is nothing but statistical noise. The effect size is incredibly small and just on the border of statistical significance. Especially when you’re working with very large datasets like this, you’ve got to be really careful about overinterpreting statistically significant findings that are nevertheless of small magnitude.

Regardless, it’s an interesting study, one that made me think and, of course, worry a bit about how I would present it. Forgive me if I’ve been indelicate in handling the complex issues of sex, gender, and society here. But I’m not sure what you expect; after all, I’m only a male doctor.

Dr. Wilson is associate professor of medicine and public health and director of the Clinical and Translational Research Accelerator at Yale University, New Haven, Conn. He has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

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Weighing the Benefits of Integrating AI-based Clinical Notes Into Your Practice

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Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

 

 

Broad-Spectrum Benefits of AI in Documentation

  • Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
  • Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
  • Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
  • Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

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Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

 

 

Broad-Spectrum Benefits of AI in Documentation

  • Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
  • Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
  • Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
  • Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

 

Picture a healthcare system where physicians aren’t bogged down by excessive charting but are instead fully present with their patients, offering undivided attention and personalized care. In a recent X post, Stuart Blitz, COO and co-founder of Hone Health, sparked a thought-provoking conversation. “The problem with US healthcare is physicians are burned out since they spend way too much time charting, not enough with patients,” he wrote. “If you created a health system that did zero charting, you’d attract the best physicians and all patients would go there. Who is working on this?” 

This resonates with many in the medical community, myself included, because the strain of extensive documentation detracts from patient care. Having worked in both large and small healthcare systems, I know the burden of extensive charting is a palpable challenge, often detracting from the time we can devote to our patients.

The first part of this two-part series examines the overarching benefits of artificial intelligence (AI)–based clinical documentation in modern healthcare, a field witnessing a paradigm shift thanks to advancements in AI.
 

Transformative Evolution of Clinical Documentation

The transition from manual documentation to AI-driven solutions marks a significant shift in the field, with a number of products in development including Nuance, Abridge, Ambience, ScribeAmerica, 3M, and DeepScribe. These tools use ambient clinical intelligence (ACI) to automate documentation, capturing patient conversations and translating them into structured clinical summaries. This innovation aligns with the vision of reducing charting burdens and enhancing patient-physician interactions.

How does it work? ACI refers to a sophisticated form of AI applied in healthcare settings, particularly focusing on enhancing the clinical documentation process without disrupting the natural flow of the consultation. Here’s a technical yet practical breakdown of ACI and the algorithms it typically employs:

Data capture and processing: ACI systems employ various sensors and processing units, typically integrated into clinical settings. These sensors, like microphones and cameras, gather diverse data such as audio from patient-doctor dialogues and visual cues. This information is then processed in real-time or near–real-time.

Natural language processing (NLP): A core component of ACI is advanced NLP algorithms. These algorithms analyze the captured audio data, transcribing spoken words into text. NLP goes beyond mere transcription; it involves understanding context, extracting relevant medical information (like symptoms, diagnoses, and treatment plans), and interpreting the nuances of human language.

Deep learning: Machine learning, particularly deep-learning techniques, are employed to improve the accuracy of ACI systems continually. These algorithms can learn from vast datasets of clinical interactions, enhancing their ability to transcribe and interpret future conversations accurately. As they learn, they become better at understanding different accents, complex medical terms, and variations in speech patterns.

Integration with electronic health records (EHRs): ACI systems are often designed to integrate seamlessly with existing EHR systems. They can automatically populate patient records with information from patient-clinician interactions, reducing manual entry and potential errors.

Customization and personalization: Many ACI systems offer customizable templates or allow clinicians to tailor documentation workflows. This flexibility ensures that the output aligns with the specific needs and preferences of healthcare providers.

Ethical and privacy considerations: ACI systems must navigate significant ethical and privacy concerns, especially related to patient consent and data security. These systems need to comply with healthcare privacy regulations such as HIPAA. They need to securely manage sensitive patient data and restrict access to authorized personnel only.
 

 

 

Broad-Spectrum Benefits of AI in Documentation

  • Reducing clinician burnout: By automating the documentation process, AI tools like DAX Copilot alleviate a significant contributor to physician burnout, enabling clinicians to focus more on patient care.
  • Enhanced patient care: With AI handling documentation, clinicians can engage more with their patients, leading to improved care quality and patient satisfaction.
  • Data accuracy and quality: AI-driven documentation captures detailed patient encounters accurately, ensuring high-quality and comprehensive medical records.
  • Response to the growing need for efficient healthcare: AI-based documentation is a direct response to the growing call for more efficient healthcare practices, where clinicians spend less time on paperwork and more with patients.

The shift toward AI-based clinical documentation represents a critical step in addressing the inefficiencies in healthcare systems. It’s a move towards a more patient-centered approach, where clinicians can focus more on patient care by reducing the time spent on excessive charting. Hopefully, we can integrate these solutions into our clinics at a large enough scale to make such an impact.

In the next column, we will explore in-depth insights from Kenneth Harper at Nuance on the technical implementation of these tools, with DAX as an example.

I would love to read your comments on AI in clinical trials as well as other AI-related topics. Write me at [email protected] or find me on X @DrBonillaOnc.

Dr. Loaiza-Bonilla is the co-founder and chief medical officer at Massive Bio, a company connecting patients to clinical trials using artificial intelligence. His research and professional interests focus on precision medicine, clinical trial design, digital health, entrepreneurship, and patient advocacy. Dr Loaiza-Bonilla serves as medical director of oncology research at Capital Health in New Jersey, where he maintains a connection to patient care by attending to patients 2 days a week. He has served as a consultant for Verify, PSI CRO, Bayer, AstraZeneca, Cardinal Health, BrightInsight, The Lynx Group, Fresenius, Pfizer, Ipsen, and Guardant; served as a speaker or a member of a speakers bureau for Amgen, Guardant, Eisai, Ipsen, Natera, Merck, Bristol-Myers Squibb, and AstraZeneca. He holds a 5% or greater equity interest in Massive Bio.

A version of this article appeared on Medscape.com.

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New Federal Rule Delivers Workplace Support, Time Off for Pregnant Docs

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Mon, 04/22/2024 - 17:01

 

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertilitymiscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

 

 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

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Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertilitymiscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

 

 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

 

Pregnant physicians may receive more workplace accommodations and protection against discrimination thanks to an updated rule from the US Equal Employment Opportunity Commission (EEOC). The guidelines could prevent women from losing critical career momentum. 

The Pregnant Workers Fairness Act (PWFA) aims to help workers balance professional demands with healthy pregnancies. It requires employers to provide reasonable accommodations for a “worker’s known limitations,” including physical or mental conditions associated with “pregnancy, childbirth, or related medical conditions.”

Reasonable accommodations vary but may involve time off to attend healthcare appointments or recover from childbirth, extra breaks during a shift, shorter work hours, or the ability to sit instead of stand. Private and public sector employers, including state and local governments, federal agencies, and employment agencies, must abide by the new guidelines unless they can provide evidence that doing so will cause undue hardship. 

Female doctors have historically encountered significant barriers to family planning. Years of training cause them to delay having children, often leading to higher rates of infertilitymiscarriage, and pregnancy complications than in the general population. 

Some specialties, like surgeons, are particularly at risk, with 42% reporting at least one pregnancy loss. Most surgeons work their regular schedules until delivery despite desiring workload reductions, commonly citing unsupportive workplaces as a reason for not seeking accommodations. 

Trauma surgeon Qaali Hussein, MD, became pregnant with her first child during her intern year in 2008. She told this news organization that her residency program didn’t even have a maternity policy at the time, and her male supervisor was certain that motherhood would end her surgical career. 

She shared how “women usually waited until the end of their training to get pregnant. No one had ever gotten pregnant during the program and returned from maternity leave. I was the first to do so, so there wasn’t a policy or any program support to say, ‘What can we do to help?’ ”

Dr. Hussein used her vacation and sick time, returning to work 4 weeks after delivery. She had five more children, including twins her chief year and another baby during fellowship training in 2014. 

Each subsequent pregnancy was met with the same response from program leadership, she recalled. “They’d say, ‘This is it. You may have been able to do the first and second child, but this one will be impossible.’ ”

After the PWFA regulations first became enforceable in June, the EEOC accepted public feedback. The guidelines received nearly 100,000 comments, spurred mainly by the inclusion of abortion care as a qualifying condition for which an employee could receive accommodations. About 54,000 comments called for abortion to be excluded from the final rule, and 40,000 supported keeping the clause. 

The EEOC issued the final rule on April 15. It includes abortion care. However, the updated rule “does not require any employee to have — or not to have — an abortion, does not require taxpayers to pay for any abortions, and does not compel health care providers to provide any abortions,” the unpublished version of the final rule said. It is scheduled to take effect 60 days after its publication in the Federal Register on April 19.
 

 

 

Increasing Support for Doctor-Moms

The PWFA supplements other EEOC protections, such as pregnancy discrimination under Title VII of the Civil Rights Act of 1964 and access to reasonable accommodations under the Americans with Disabilities Act. In addition, it builds upon Department of Labor regulations, like the PUMP Act for breastfeeding employees and the Family and Medical Leave Act, which provides 12 weeks of unpaid, job-protected leave for the arrival of a child or certain medical conditions.

FMLA applies only to employees who have worked full-time for at least 12 months for an employer with 50 or more employees. Meanwhile, the unpaid, job-protected leave under the PWFA has no waiting period, lowers the required number of employees to 15, and permits accommodations for up to 40 weeks. 

Employers are encouraged to honor “common and simple” requests, like using a closer parking space or pumping or nursing at work, without requiring a doctor’s note, the rule said. 

Efforts to improve family leave policies for physicians and residents have been gaining traction. In 2021, the American Board of Medical Specialties began requiring its member boards with training programs lasting 2 or more years to allow at least 6 weeks off for parental, caregiver, and medical leave. This time can be taken without exhausting vacation or sick leave or requiring an extension in training. Over half of the 24 member boards permit leave beyond 6 weeks, including the American Boards of Allergy and Immunology, Emergency Medicine, Family Medicine, Radiology, and Surgery. 

Estefania Oliveros, MD, MSc, cardiologist and assistant professor at the Lewis Katz School of Medicine at Temple University, Philadelphia, told this news organization that the Accreditation Council for Graduate Medical Education also requires that residents and fellows receive 6 weeks of paid leave

“We add to that vacation time, so it gives them at least 8 weeks,” she said. The school has created spaces for nursing mothers — something neither she nor Dr. Hussein had access to when breastfeeding — and encourages the attendings to be proactive in excusing pregnant fellows for appointments. 

This differs significantly from her fellowship training experience 6 years ago at another institution, where she worked without accommodations until the day before her cesarean delivery. Dr. Oliveros had to use all her vacation time for recovery, returning to the program after 4 weeks instead of the recommended 6. 

“And that’s the story you hear all the time. Not because people are ill-intended; I just don’t think the system is designed to accommodate women, so we lose a lot of talent that way,” said Dr. Oliveros, whose 2019 survey in the Journal of the American College of Cardiology called for more support and protections for pregnant doctors. 

Both doctors believe the PWFA will be beneficial but only if leadership in the field takes up the cause. 

“The cultures of these institutions determine whether women feel safe or even confident enough to have children in medical school or residency,” said Dr. Hussein. 
 

A version of this article appeared on Medscape.com.

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FDA Approves AI Diagnostic Tool for Early Sepsis Detection

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Thu, 04/18/2024 - 12:59

 

The US Food and Drug Administration (FDA) has approved a medical device named the Sepsis ImmunoScore, which is an artificial intelligence/machine learning software, to guide rapid diagnosis and prediction of sepsis. The authorization was granted through the FDA’s De Novo pathway.

Sepsis is a complex condition, so diagnosing it early is difficult and has been a decades-long challenge for the US healthcare system.

Using both biomarkers and clinical data with the assistance of AI, the Sepsis ImmunoScore helps assess the risk for the presence of or progression to sepsis within 24 hours of patient evaluation in the emergency department or hospital. By considering 22 diverse parameters, the AI-powered tool provides a comprehensive evaluation of the patient’s biological condition, resulting in a risk score and categorization into four distinct risk levels.

It’s important to note that this system is not an alert mechanism. These risk categories are correlated with the risk for patient deterioration, including length of hospital stay, in-hospital mortality, and the need for escalated care within 24 hours (such as intensive care unit admission, mechanical ventilation, or vasopressor use). The diagnostic software is integrated directly into hospital electronic medical records.

This is the first AI diagnostic tool for sepsis to receive marketing authorization from the FDA.

A version of this article appeared on Medscape.com.

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The US Food and Drug Administration (FDA) has approved a medical device named the Sepsis ImmunoScore, which is an artificial intelligence/machine learning software, to guide rapid diagnosis and prediction of sepsis. The authorization was granted through the FDA’s De Novo pathway.

Sepsis is a complex condition, so diagnosing it early is difficult and has been a decades-long challenge for the US healthcare system.

Using both biomarkers and clinical data with the assistance of AI, the Sepsis ImmunoScore helps assess the risk for the presence of or progression to sepsis within 24 hours of patient evaluation in the emergency department or hospital. By considering 22 diverse parameters, the AI-powered tool provides a comprehensive evaluation of the patient’s biological condition, resulting in a risk score and categorization into four distinct risk levels.

It’s important to note that this system is not an alert mechanism. These risk categories are correlated with the risk for patient deterioration, including length of hospital stay, in-hospital mortality, and the need for escalated care within 24 hours (such as intensive care unit admission, mechanical ventilation, or vasopressor use). The diagnostic software is integrated directly into hospital electronic medical records.

This is the first AI diagnostic tool for sepsis to receive marketing authorization from the FDA.

A version of this article appeared on Medscape.com.

 

The US Food and Drug Administration (FDA) has approved a medical device named the Sepsis ImmunoScore, which is an artificial intelligence/machine learning software, to guide rapid diagnosis and prediction of sepsis. The authorization was granted through the FDA’s De Novo pathway.

Sepsis is a complex condition, so diagnosing it early is difficult and has been a decades-long challenge for the US healthcare system.

Using both biomarkers and clinical data with the assistance of AI, the Sepsis ImmunoScore helps assess the risk for the presence of or progression to sepsis within 24 hours of patient evaluation in the emergency department or hospital. By considering 22 diverse parameters, the AI-powered tool provides a comprehensive evaluation of the patient’s biological condition, resulting in a risk score and categorization into four distinct risk levels.

It’s important to note that this system is not an alert mechanism. These risk categories are correlated with the risk for patient deterioration, including length of hospital stay, in-hospital mortality, and the need for escalated care within 24 hours (such as intensive care unit admission, mechanical ventilation, or vasopressor use). The diagnostic software is integrated directly into hospital electronic medical records.

This is the first AI diagnostic tool for sepsis to receive marketing authorization from the FDA.

A version of this article appeared on Medscape.com.

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Tension, Other Headache Types Robustly Linked to Attempted, Completed Suicide

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Thu, 04/18/2024 - 15:33

 

DENVER – Headaches, including tension-type, migraine, and posttraumatic, are robustly associated with both attempted and completed suicide, results of a large study suggest. 

The risk for suicide attempt was four times higher in people with trigeminal and autonomic cephalalgias (TAC), and the risk for completed suicide was double among those with posttraumatic headache compared with individuals with no headache.

The retrospective analysis included data on more than 100,000 headache patients from a Danish registry. 

“The results suggest there’s a unique risk among headache patients for attempted and completed suicide,” lead investigator Holly Elser, MD, MPH, PhD, resident, Department of Neurology, University of Pennsylvania, Philadelphia, said at the 2024 annual meeting of the American Academy of Neurology, where the findings were presented. “This really underscores the potential importance of complementary psychiatric evaluation and treatment for individuals diagnosed with headache.”
 

Underestimated Problem

Headache disorders affect about half of working-age adults and are among the leading causes of productivity loss, absence from work, and disability. 

Prior research suggests headache disorders often co-occur with psychiatric illness including depression, anxiety, posttraumatic stress disorder, and even attempted suicide.

However, previous studies that showed an increased risk for attempted suicide in patients with headache relied heavily on survey data and mostly focused on patients with migraine. There was little information on other headache types and on the risk for completed suicide.

Researchers used Danish registries to identify 64,057 patients with migraine, 40,160 with tension-type headache (TTH), 5743 with TAC, and 4253 with posttraumatic headache, all diagnosed from 1995 to 2019.

Some 5.8% of those with migraine, 6.3% with TAC, 7.2% with TTH, and 7.2% with posttraumatic headache, had a mood disorder (depression and anxiety combined) at baseline.

Those without a headache diagnosis were matched 5:1 to those with a headache diagnosis by sex and birth year.

Across all headache disorders, baseline prevalence of mood disorder was higher among those with headache versus population-matched controls. Dr. Elser emphasized that these are people diagnosed with a mood disorder in the inpatient, emergency department, or outpatient specialist clinic setting, “which means we are almost certainly underestimating the true burden of mood symptoms in our cohort,” she said.

Researchers identified attempted suicides using diagnostic codes. For completed suicide, they determined whether those who attempted suicide died within 30 days of the attempt.

For each headache type, investigators examined both the absolute and relative risk for attempted and completed suicides and estimated the risk at intervals of 5, 10, and 20 years after initial headache diagnosis.
 

Robust Link

The “power of this study is that we asked a simple, but important question, and answered it with simple, but appropriate, methodologic techniques,” Dr. Elser said.

The estimated risk differences (RDs) for attempted suicide were strongest for TAC and posttraumatic headache and for longer follow-ups. The RDs for completed suicide were largely the same but of a smaller magnitude and were “relatively less precise,” reflecting the “rarity of this outcome,” said Dr. Elser.

After adjusting for sex, age, education, income, comorbidities, and baseline medical and psychiatric diagnoses, researchers found the strongest association or attempted suicide was among those with TAC (adjusted hazard ratio [aHR], 4.25; 95% CI, 2.85-6.33).

“A hazard ratio of 4 is enormous” for this type of comparison, Dr. Elser noted.

For completed suicide, the strongest association was with posttraumatic headache (aHR, 2.19; 95% CI, 0.78-6.16).

The study revealed a robust association with attempted and completed suicide across all headache types, including TTH, noted Dr. Elser. The link between tension headaches and suicide “was the most striking finding to me because I think of that as sort of a benign and common headache disorder,” she said.

The was an observational study, so “it’s not clear whether headache is playing an etiological role in the relationship with suicide,” she said. “It’s possible there are common shared risk factors or confounders that explain the relationship in full or in part that aren’t accounted for in this study.”
 

 

 

Ask About Mood

The results underscore the need for psychiatric evaluations in patients with a headache disorder. “For me, this is just going to make me that much more likely to ask my patients about their mood when I see them in clinic,” Dr. Elser said.

After asking patients with headache about their mood and stress at home and at work, physicians should have a “low threshold to refer to a behavioral health provider,” she added.

Future research should aim to better understand the link between headache and suicide risk, with a focus on the mechanisms behind low- and high-risk subgroups, said Dr. Elser.

A limitation of the study was that headache diagnoses were based on inpatient, emergency department, and outpatient specialist visits but not on visits to primary care practitioners. The study didn’t include information on headache severity or frequency and included only people who sought treatment for their headaches.

Though it’s unlikely the results “are perfectly generalizable” with respect to other geographical or cultural contexts, “I don’t think this relationship is unique to Denmark based on the literature to date,” Dr. Elser said.

Commenting on the study, session co-chair Todd J. Schwedt, MD, professor of neurology, Mayo Clinic Arizona, Phoenix, and president-elect of the American Headache Society, noted that the study offers important findings “that demonstrate the enormous negative impact that headaches can exert.”

It’s “a strong reminder” that clinicians should assess the mental health of their patients with headaches and offer treatment when appropriate, he said.

The study received support from Aarhus University. No relevant conflicts of interest were reported.
 

A version of this article appeared on Medscape.com.

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DENVER – Headaches, including tension-type, migraine, and posttraumatic, are robustly associated with both attempted and completed suicide, results of a large study suggest. 

The risk for suicide attempt was four times higher in people with trigeminal and autonomic cephalalgias (TAC), and the risk for completed suicide was double among those with posttraumatic headache compared with individuals with no headache.

The retrospective analysis included data on more than 100,000 headache patients from a Danish registry. 

“The results suggest there’s a unique risk among headache patients for attempted and completed suicide,” lead investigator Holly Elser, MD, MPH, PhD, resident, Department of Neurology, University of Pennsylvania, Philadelphia, said at the 2024 annual meeting of the American Academy of Neurology, where the findings were presented. “This really underscores the potential importance of complementary psychiatric evaluation and treatment for individuals diagnosed with headache.”
 

Underestimated Problem

Headache disorders affect about half of working-age adults and are among the leading causes of productivity loss, absence from work, and disability. 

Prior research suggests headache disorders often co-occur with psychiatric illness including depression, anxiety, posttraumatic stress disorder, and even attempted suicide.

However, previous studies that showed an increased risk for attempted suicide in patients with headache relied heavily on survey data and mostly focused on patients with migraine. There was little information on other headache types and on the risk for completed suicide.

Researchers used Danish registries to identify 64,057 patients with migraine, 40,160 with tension-type headache (TTH), 5743 with TAC, and 4253 with posttraumatic headache, all diagnosed from 1995 to 2019.

Some 5.8% of those with migraine, 6.3% with TAC, 7.2% with TTH, and 7.2% with posttraumatic headache, had a mood disorder (depression and anxiety combined) at baseline.

Those without a headache diagnosis were matched 5:1 to those with a headache diagnosis by sex and birth year.

Across all headache disorders, baseline prevalence of mood disorder was higher among those with headache versus population-matched controls. Dr. Elser emphasized that these are people diagnosed with a mood disorder in the inpatient, emergency department, or outpatient specialist clinic setting, “which means we are almost certainly underestimating the true burden of mood symptoms in our cohort,” she said.

Researchers identified attempted suicides using diagnostic codes. For completed suicide, they determined whether those who attempted suicide died within 30 days of the attempt.

For each headache type, investigators examined both the absolute and relative risk for attempted and completed suicides and estimated the risk at intervals of 5, 10, and 20 years after initial headache diagnosis.
 

Robust Link

The “power of this study is that we asked a simple, but important question, and answered it with simple, but appropriate, methodologic techniques,” Dr. Elser said.

The estimated risk differences (RDs) for attempted suicide were strongest for TAC and posttraumatic headache and for longer follow-ups. The RDs for completed suicide were largely the same but of a smaller magnitude and were “relatively less precise,” reflecting the “rarity of this outcome,” said Dr. Elser.

After adjusting for sex, age, education, income, comorbidities, and baseline medical and psychiatric diagnoses, researchers found the strongest association or attempted suicide was among those with TAC (adjusted hazard ratio [aHR], 4.25; 95% CI, 2.85-6.33).

“A hazard ratio of 4 is enormous” for this type of comparison, Dr. Elser noted.

For completed suicide, the strongest association was with posttraumatic headache (aHR, 2.19; 95% CI, 0.78-6.16).

The study revealed a robust association with attempted and completed suicide across all headache types, including TTH, noted Dr. Elser. The link between tension headaches and suicide “was the most striking finding to me because I think of that as sort of a benign and common headache disorder,” she said.

The was an observational study, so “it’s not clear whether headache is playing an etiological role in the relationship with suicide,” she said. “It’s possible there are common shared risk factors or confounders that explain the relationship in full or in part that aren’t accounted for in this study.”
 

 

 

Ask About Mood

The results underscore the need for psychiatric evaluations in patients with a headache disorder. “For me, this is just going to make me that much more likely to ask my patients about their mood when I see them in clinic,” Dr. Elser said.

After asking patients with headache about their mood and stress at home and at work, physicians should have a “low threshold to refer to a behavioral health provider,” she added.

Future research should aim to better understand the link between headache and suicide risk, with a focus on the mechanisms behind low- and high-risk subgroups, said Dr. Elser.

A limitation of the study was that headache diagnoses were based on inpatient, emergency department, and outpatient specialist visits but not on visits to primary care practitioners. The study didn’t include information on headache severity or frequency and included only people who sought treatment for their headaches.

Though it’s unlikely the results “are perfectly generalizable” with respect to other geographical or cultural contexts, “I don’t think this relationship is unique to Denmark based on the literature to date,” Dr. Elser said.

Commenting on the study, session co-chair Todd J. Schwedt, MD, professor of neurology, Mayo Clinic Arizona, Phoenix, and president-elect of the American Headache Society, noted that the study offers important findings “that demonstrate the enormous negative impact that headaches can exert.”

It’s “a strong reminder” that clinicians should assess the mental health of their patients with headaches and offer treatment when appropriate, he said.

The study received support from Aarhus University. No relevant conflicts of interest were reported.
 

A version of this article appeared on Medscape.com.

 

DENVER – Headaches, including tension-type, migraine, and posttraumatic, are robustly associated with both attempted and completed suicide, results of a large study suggest. 

The risk for suicide attempt was four times higher in people with trigeminal and autonomic cephalalgias (TAC), and the risk for completed suicide was double among those with posttraumatic headache compared with individuals with no headache.

The retrospective analysis included data on more than 100,000 headache patients from a Danish registry. 

“The results suggest there’s a unique risk among headache patients for attempted and completed suicide,” lead investigator Holly Elser, MD, MPH, PhD, resident, Department of Neurology, University of Pennsylvania, Philadelphia, said at the 2024 annual meeting of the American Academy of Neurology, where the findings were presented. “This really underscores the potential importance of complementary psychiatric evaluation and treatment for individuals diagnosed with headache.”
 

Underestimated Problem

Headache disorders affect about half of working-age adults and are among the leading causes of productivity loss, absence from work, and disability. 

Prior research suggests headache disorders often co-occur with psychiatric illness including depression, anxiety, posttraumatic stress disorder, and even attempted suicide.

However, previous studies that showed an increased risk for attempted suicide in patients with headache relied heavily on survey data and mostly focused on patients with migraine. There was little information on other headache types and on the risk for completed suicide.

Researchers used Danish registries to identify 64,057 patients with migraine, 40,160 with tension-type headache (TTH), 5743 with TAC, and 4253 with posttraumatic headache, all diagnosed from 1995 to 2019.

Some 5.8% of those with migraine, 6.3% with TAC, 7.2% with TTH, and 7.2% with posttraumatic headache, had a mood disorder (depression and anxiety combined) at baseline.

Those without a headache diagnosis were matched 5:1 to those with a headache diagnosis by sex and birth year.

Across all headache disorders, baseline prevalence of mood disorder was higher among those with headache versus population-matched controls. Dr. Elser emphasized that these are people diagnosed with a mood disorder in the inpatient, emergency department, or outpatient specialist clinic setting, “which means we are almost certainly underestimating the true burden of mood symptoms in our cohort,” she said.

Researchers identified attempted suicides using diagnostic codes. For completed suicide, they determined whether those who attempted suicide died within 30 days of the attempt.

For each headache type, investigators examined both the absolute and relative risk for attempted and completed suicides and estimated the risk at intervals of 5, 10, and 20 years after initial headache diagnosis.
 

Robust Link

The “power of this study is that we asked a simple, but important question, and answered it with simple, but appropriate, methodologic techniques,” Dr. Elser said.

The estimated risk differences (RDs) for attempted suicide were strongest for TAC and posttraumatic headache and for longer follow-ups. The RDs for completed suicide were largely the same but of a smaller magnitude and were “relatively less precise,” reflecting the “rarity of this outcome,” said Dr. Elser.

After adjusting for sex, age, education, income, comorbidities, and baseline medical and psychiatric diagnoses, researchers found the strongest association or attempted suicide was among those with TAC (adjusted hazard ratio [aHR], 4.25; 95% CI, 2.85-6.33).

“A hazard ratio of 4 is enormous” for this type of comparison, Dr. Elser noted.

For completed suicide, the strongest association was with posttraumatic headache (aHR, 2.19; 95% CI, 0.78-6.16).

The study revealed a robust association with attempted and completed suicide across all headache types, including TTH, noted Dr. Elser. The link between tension headaches and suicide “was the most striking finding to me because I think of that as sort of a benign and common headache disorder,” she said.

The was an observational study, so “it’s not clear whether headache is playing an etiological role in the relationship with suicide,” she said. “It’s possible there are common shared risk factors or confounders that explain the relationship in full or in part that aren’t accounted for in this study.”
 

 

 

Ask About Mood

The results underscore the need for psychiatric evaluations in patients with a headache disorder. “For me, this is just going to make me that much more likely to ask my patients about their mood when I see them in clinic,” Dr. Elser said.

After asking patients with headache about their mood and stress at home and at work, physicians should have a “low threshold to refer to a behavioral health provider,” she added.

Future research should aim to better understand the link between headache and suicide risk, with a focus on the mechanisms behind low- and high-risk subgroups, said Dr. Elser.

A limitation of the study was that headache diagnoses were based on inpatient, emergency department, and outpatient specialist visits but not on visits to primary care practitioners. The study didn’t include information on headache severity or frequency and included only people who sought treatment for their headaches.

Though it’s unlikely the results “are perfectly generalizable” with respect to other geographical or cultural contexts, “I don’t think this relationship is unique to Denmark based on the literature to date,” Dr. Elser said.

Commenting on the study, session co-chair Todd J. Schwedt, MD, professor of neurology, Mayo Clinic Arizona, Phoenix, and president-elect of the American Headache Society, noted that the study offers important findings “that demonstrate the enormous negative impact that headaches can exert.”

It’s “a strong reminder” that clinicians should assess the mental health of their patients with headaches and offer treatment when appropriate, he said.

The study received support from Aarhus University. No relevant conflicts of interest were reported.
 

A version of this article appeared on Medscape.com.

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Physicians Own Less Than Half of US Practices; Federal Agencies Want Outside Input

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Wed, 04/17/2024 - 13:16

Physician practice ownership by corporations, including health insurers, private equity firms, and large pharmacy chains, reached 30.1% as of January for the first time surpassing ownership by hospitals and health systems (28.4%), according to a new report.

As a result, about three in five physician practices are now owned by nonphysicians.

In early 2020, corporations owned just about 17% of US medical practices, while hospitals and health systems owned about 25%, according to the report released Thursday by nonprofit Physician Advocacy Institute (PAI). But corporate ownership of medical groups surged during the pandemic.

These trends raise questions about how best to protect patients and physicians in a changing employment landscape, said Kelly Kenney, PAI’s chief executive officer, in a statement.

“Corporate entities are assuming control of physician practices and changing the face of medicine in the United States with little to no scrutiny from regulators,” Ms. Kenney said.

The research, conducted by consulting group Avalere for PAI, used the IQVIA OneKey database that contains physician and practice location information on hospital and health system ownership.

By 2022-2023, there was a 7.3% increase in the percentage of practices owned by hospitals and 5.9% increase in the percentage of physicians employed by these organizations, PAI said. In the same time frame, there was an 11% increase in the percentage of practices owned by corporations and a 3.0% increase in the percentage of physicians employed by these entities.

“Physicians have an ethical responsibility to their patients’ health,” Ms. Kenney said. “Corporate entities have a fiduciary responsibility to their shareholders and are motivated to put profits first…these interests can conflict with providing the best medical care to patients.”
 

Federal Scrutiny Increases

However, both federal and state regulators are paying more attention to what happens to patients and physicians when corporations acquire practices.

“Given recent trends, we are concerned that some transactions may generate profits for those firms at the expense of patients’ health, workers’ safety, quality of care, and affordable healthcare for patients and taxpayers,” said the Federal Trade Commission (FTC) and the Justice (DOJ) and Health and Human Services (HHS) departments.

This statement appears in those agencies’ joint request for information (RFI) announced in March. An RFI is a tool that federal agencies can use to gauge the level of both support and opposition they would face if they were to try to change policies. Public comments are due May 6.

Corporations and advocacy groups often submit detailed comments outlining reasons why the federal government should or should not act on an issue. But individuals also can make their case in this forum.

The FTC, DOJ, and HHS are looking broadly at consolidation in healthcare, but they also spell out potential concerns related to acquisition of physician practices.

For example, they asked clinicians and support staff to provide feedback about whether acquisitions lead to changes in:

  • Take-home pay
  • Staffing levels
  • Workplace safety
  • Compensation model (eg, from fixed salary to volume based)
  • Policies regarding patient referrals
  • Mix of patients
  • The volume of patients
  • The way providers practice medicine (eg, incentives, prescribing decisions, forced protocols, restrictions on time spent with patients, or mandatory coding practices)
  • Administrative or managerial organization (eg, transition to a management services organization).

A version of this article appeared on Medscape.com.

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Physician practice ownership by corporations, including health insurers, private equity firms, and large pharmacy chains, reached 30.1% as of January for the first time surpassing ownership by hospitals and health systems (28.4%), according to a new report.

As a result, about three in five physician practices are now owned by nonphysicians.

In early 2020, corporations owned just about 17% of US medical practices, while hospitals and health systems owned about 25%, according to the report released Thursday by nonprofit Physician Advocacy Institute (PAI). But corporate ownership of medical groups surged during the pandemic.

These trends raise questions about how best to protect patients and physicians in a changing employment landscape, said Kelly Kenney, PAI’s chief executive officer, in a statement.

“Corporate entities are assuming control of physician practices and changing the face of medicine in the United States with little to no scrutiny from regulators,” Ms. Kenney said.

The research, conducted by consulting group Avalere for PAI, used the IQVIA OneKey database that contains physician and practice location information on hospital and health system ownership.

By 2022-2023, there was a 7.3% increase in the percentage of practices owned by hospitals and 5.9% increase in the percentage of physicians employed by these organizations, PAI said. In the same time frame, there was an 11% increase in the percentage of practices owned by corporations and a 3.0% increase in the percentage of physicians employed by these entities.

“Physicians have an ethical responsibility to their patients’ health,” Ms. Kenney said. “Corporate entities have a fiduciary responsibility to their shareholders and are motivated to put profits first…these interests can conflict with providing the best medical care to patients.”
 

Federal Scrutiny Increases

However, both federal and state regulators are paying more attention to what happens to patients and physicians when corporations acquire practices.

“Given recent trends, we are concerned that some transactions may generate profits for those firms at the expense of patients’ health, workers’ safety, quality of care, and affordable healthcare for patients and taxpayers,” said the Federal Trade Commission (FTC) and the Justice (DOJ) and Health and Human Services (HHS) departments.

This statement appears in those agencies’ joint request for information (RFI) announced in March. An RFI is a tool that federal agencies can use to gauge the level of both support and opposition they would face if they were to try to change policies. Public comments are due May 6.

Corporations and advocacy groups often submit detailed comments outlining reasons why the federal government should or should not act on an issue. But individuals also can make their case in this forum.

The FTC, DOJ, and HHS are looking broadly at consolidation in healthcare, but they also spell out potential concerns related to acquisition of physician practices.

For example, they asked clinicians and support staff to provide feedback about whether acquisitions lead to changes in:

  • Take-home pay
  • Staffing levels
  • Workplace safety
  • Compensation model (eg, from fixed salary to volume based)
  • Policies regarding patient referrals
  • Mix of patients
  • The volume of patients
  • The way providers practice medicine (eg, incentives, prescribing decisions, forced protocols, restrictions on time spent with patients, or mandatory coding practices)
  • Administrative or managerial organization (eg, transition to a management services organization).

A version of this article appeared on Medscape.com.

Physician practice ownership by corporations, including health insurers, private equity firms, and large pharmacy chains, reached 30.1% as of January for the first time surpassing ownership by hospitals and health systems (28.4%), according to a new report.

As a result, about three in five physician practices are now owned by nonphysicians.

In early 2020, corporations owned just about 17% of US medical practices, while hospitals and health systems owned about 25%, according to the report released Thursday by nonprofit Physician Advocacy Institute (PAI). But corporate ownership of medical groups surged during the pandemic.

These trends raise questions about how best to protect patients and physicians in a changing employment landscape, said Kelly Kenney, PAI’s chief executive officer, in a statement.

“Corporate entities are assuming control of physician practices and changing the face of medicine in the United States with little to no scrutiny from regulators,” Ms. Kenney said.

The research, conducted by consulting group Avalere for PAI, used the IQVIA OneKey database that contains physician and practice location information on hospital and health system ownership.

By 2022-2023, there was a 7.3% increase in the percentage of practices owned by hospitals and 5.9% increase in the percentage of physicians employed by these organizations, PAI said. In the same time frame, there was an 11% increase in the percentage of practices owned by corporations and a 3.0% increase in the percentage of physicians employed by these entities.

“Physicians have an ethical responsibility to their patients’ health,” Ms. Kenney said. “Corporate entities have a fiduciary responsibility to their shareholders and are motivated to put profits first…these interests can conflict with providing the best medical care to patients.”
 

Federal Scrutiny Increases

However, both federal and state regulators are paying more attention to what happens to patients and physicians when corporations acquire practices.

“Given recent trends, we are concerned that some transactions may generate profits for those firms at the expense of patients’ health, workers’ safety, quality of care, and affordable healthcare for patients and taxpayers,” said the Federal Trade Commission (FTC) and the Justice (DOJ) and Health and Human Services (HHS) departments.

This statement appears in those agencies’ joint request for information (RFI) announced in March. An RFI is a tool that federal agencies can use to gauge the level of both support and opposition they would face if they were to try to change policies. Public comments are due May 6.

Corporations and advocacy groups often submit detailed comments outlining reasons why the federal government should or should not act on an issue. But individuals also can make their case in this forum.

The FTC, DOJ, and HHS are looking broadly at consolidation in healthcare, but they also spell out potential concerns related to acquisition of physician practices.

For example, they asked clinicians and support staff to provide feedback about whether acquisitions lead to changes in:

  • Take-home pay
  • Staffing levels
  • Workplace safety
  • Compensation model (eg, from fixed salary to volume based)
  • Policies regarding patient referrals
  • Mix of patients
  • The volume of patients
  • The way providers practice medicine (eg, incentives, prescribing decisions, forced protocols, restrictions on time spent with patients, or mandatory coding practices)
  • Administrative or managerial organization (eg, transition to a management services organization).

A version of this article appeared on Medscape.com.

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