Health
Artificial intelligence not always helpful for reducing doctor burnout, studies suggest
The use of generative AI may not be helpful in reducing burnout in health care, new research suggests.
Previous research indicated that increased time spent using electronic health record (EHR) systems and handling administrative responsibilities has been a burden on doctors.
So some people had heralded artificial intelligence as a potential solution — yet recent investigations by U.S. health systems found that large language models (LLMs) did not simplify clinicians’ day-to-day responsibilities.
WHAT IS ARTIFICIAL INTELLIGENCE (AI)?
For instance, a 2023 observational study at Brigham and Women’s Hospital in Boston, Massachusetts, examined the impact of using AI for electronic patient messaging.
Researchers prompted a large language model to respond to simulated questions from cancer patients — then compared its output to responses from six board-certified radiation oncologists.
Medical professionals then edited the AI-generated responses into “clinically acceptable” answers to send to patients.
New studies suggest that generative AI might not help burnout among physicians, as had been previously thought. (iStock)
The study, published in The Lancet Digital Health, found that the LLM drafts posed “a risk of severe harm in 11 of 156 survey responses, and death in one survey response.”
“The majority of harmful responses were due to incorrectly determining or conveying the acuity of the scenario and recommended action,” the researchers wrote.
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The researchers concluded that LLM-assisted results (those edited by physicians) displayed a “best-of-both-worlds scenario” — reducing physician workload while ensuring that patients get accurate information.
“These early findings … indicate the need to thoroughly evaluate LLMs in their intended clinical contexts, reflecting the precise task and level of human oversight,” the study concluded.
Researchers concluded that LLM-assisted results displayed a “best-of-both-worlds scenario,” reducing physician workload while ensuring consistency of responses and improving the education of patients. (iStock)
Medical billing codes
Another study from New York’s Mount Sinai Health System evaluated four different types of large language models for performance and error patterns when querying medical billing codes.
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The research, published in the journal NEJM AI, found that all tested LLMs performed poorly on medical code querying, “often generating codes conveying imprecise or fabricated information.”
The study concluded, “LLMs are not appropriate for use on medical coding tasks without additional research.” The study was funded by the AGA Research Foundation and National Institutes of Health (NIH).
One study found that all tested LLMs performed poorly on medical code querying — and that the issue needs further research. (iStock)
Researchers noted that although these models can “approximate the meaning of many codes,” they also “display an unacceptable lack of precision and a high propensity for falsifying codes.”
“This has significant implications for billing, clinical decision-making, quality improvement, research and health policy,” the researchers wrote.
Patient messages and physicians’ time
A third JAMA Network-published study, from the University of California San Diego School of Medicine, evaluated AI-drafted replies to patient messages and physicians’ time spent editing them.
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The assumption was that generative AI drafts would lessen a physician’s time spent doing these tasks — yet the results showed otherwise.
“Generative AI-drafted replies were associated with significantly increased read time, no change in reply time, significantly increased reply length and [only] some perceived benefits,” the study found.
Researchers suggested that “rigorous empirical tests” are needed to further assess AI’s performance and patients’ experiences.
In the UC San Diego study, generative AI was found to cause “increased read time, no change in reply time [and] significantly increased reply length” in patient messages. (iStock)
Doctor’s thoughts on AI
David Atashroo, M.D., chief medical officer of Qventus, an AI-powered surgical management solution in Mountain View, California, reacted to the research findings in an interview with Fox News Digital. (He was not involved in the research.)
“We see an immense potential for AI to take on lower-risk, yet highly automatable tasks that traditionally fall on the essential yet often overlooked ‘glue roles’ in health care — such as schedulers, medical assistants, case managers and care navigators,” he said.
“It’s crucial to set realistic expectations about [AI’s] performance.’
“These professionals are crucial in holding together processes that are directly tied to clinical outcomes, yet spend a substantial portion of their time on administrative tasks like parsing faxes, summarizing notes and securing necessary documentation.”
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In automating these tasks, Atashroo suggested that generative AI could help improve the efficiency and effectiveness of clinical care.
“When considering the deployment of generative AI, it’s crucial to set realistic expectations about its performance,” he said.
“The standard cannot always be perfection, as even the humans currently performing these tasks are not infallible.”
“The standard cannot always be perfection, as even the humans currently performing these tasks are not infallible,” an AI expert said. (iStock)
In some scenarios, he suggested, AI could help serve as a “safety net” to catch any oversights of team members.
Tasks may sometimes go unaddressed “simply because there isn’t enough time to tackle them,” Atashroo noted.
“Generative AI can help manage cases more consistently than our current capacity allows.”
“When considering the deployment of generative AI, it’s crucial to set realistic expectations about its performance.”
Safety and efficacy are “paramount” in AI applications, the doctor also noted.
“This means not only developing models with rigorous quality checks, but also incorporating regular assessments by human experts to validate their performance,” he said.
“This dual-layer verification ensures that our AI solutions are both responsible and reliable before they are scaled.”
Atashroo also noted that “transparency in the development and implementation of AI technologies is essential in building trust among hospital partners and patients.”
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Health
75 Hard fitness challenge draws expert warnings as toned-down versions gain traction
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An extreme, all-or-nothing fitness regimen is going viral again as millions seek rapid weight loss and mental toughness through its relentless daily rules. But as health experts warn the intensity may be unrealistic for many people, lighter versions of the challenge are also picking up steam.
Fueled by social media buzz and dramatic celebrity transformations, the viral 75 Hard challenge, created in 2019 by entrepreneur and podcaster Andy Frisella, requires participants to follow a rigid lifestyle regimen “without compromise.”
The rules include two 45-minute workouts each day — one outdoors — a strict diet with no cheat meals or alcohol, a gallon of water daily, 10 pages of nonfiction reading and a daily progress photo. Miss a single task in the 75 days, and the challenge resets to day one.
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“The mental changes are 100x greater than the physical changes,” Frisella says on the challenge’s website. “This isn’t another temporary Band-Aid program,” he promises.
One of the daily workouts in the 75 Hard challenge must be completed outdoors. (iStock)
Supporters say the program builds discipline and accountability and has given many participants a clean slate at the start of the new year.
Experts, however, warn that extreme doesn’t always mean effective, especially for long-term weight loss and health.
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“Any program that promises weight loss needs to take you into a calorie deficit,” said Dr. Milica McDowell, a Montana-based exercise physiologist and doctor of physical therapy. “If you are burning more calories than you are consuming, yes, you will lose weight.”
Experts say an all-or-nothing structure may not be sustainable for long-term weight loss. (iStock)
But she cautioned that the results often don’t last.
“The challenge with the 75 Hard workout is that when you stop doing it — which would mean burning fewer calories — and you do not change your eating and drinking behaviors, it is likely that whatever weight you lost during the challenge will come right back,” McDowell told Fox News Digital.
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“I do not consider this to be a sustainable way to lose weight,” she said.
The program requires participants to drink a gallon of water each day, a rule some experts say may be excessive for certain people. (iStock)
The Cleveland Clinic also says the program’s rigid, two-a-day structure may do more harm than good for people without a strong fitness base, particularly those with chronic medical conditions. Even drinking a gallon of water a day may be excessive for some people, depending on body size and health needs, it notes.
Medical professionals also urge caution for people with joint or heart problems, no exercise background, a history of eating disorders, or already demanding schedules.
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For those drawn to 75 Hard’s structure, experts suggest modifying the program to suit individual needs.
Variations like “75 Medium” and “75 Soft” have emerged that dial down the intensity with fewer workouts, more relaxed diets and simpler habit targets designed to be more sustainable.
The 75 Hard challenge has gained widespread attention on TikTok and Instagram, where participants document their progress. (iStock)
“A softer start lowers the activation energy for behavior change [and] reduces all‑or‑nothing thinking,” Fatima Cody Stanford, an obesity medicine physician scientist at Massachusetts General Hospital and Harvard Medical School, told USA Today.
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The approach can reduce the risk of injury, exhaustion and people quitting altogether, Stanford said.
“I think people are realizing it’s OK to be gentle with yourself,” Morgan Manning, a 26-year-old media and marketing professional from New York City, told USA Today.
Softer fitness challenges build in rest days and flexibility to reduce burnout and injury risk. (iStock)
Her TikTok video announcing she was trying the “soft” version received over 60,000 views.
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“These versions feel more human,” said Jesse Ramos Jr., a certified personal trainer and owner of BBT Fitness NYC. “They allow people to build discipline without burning out, getting injured or hating the process,” Ramos told Fox News Digital.
“Fitness shouldn’t feel like punishment,” he added.
Experts say long-term health comes from consistent, sustainable habits — not extreme challenges. (iStock)
Experts agree that consistency matters more than intensity when it comes to long-term weight loss and health.
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Robin DeCicco, a certified holistic nutritionist from New York City, previously told Fox News Digital that she encourages clients to focus on sustainable habits like simply moving more, eating more whole foods and drinking more water than they were before, rather than following rigid rules.
“Healthy habits that change into long-term behaviors are what make people healthier into the future,” DeCicco said.
Health
Protein Ramen for Weight Loss Is Everywhere—Would You Try It?
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Health
Early Parkinson’s could be detected decades before symptoms with simple blood test
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A new study from Chalmers University of Technology in Sweden, along with Oslo University Hospital in Norway, may have discovered a way to detect biomarkers of Parkinson’s disease in the blood up to decades earlier.
In the very early stages of the disease, the body goes through changes related to DNA repair and stress in cells. These changes leave detectable clues in the blood before major brain damage occurs, according to a press release for the study.
This could allow for early detection of Parkinson’s, when treatments might have a better chance of slowing or preventing serious damage.
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The processes of DNA repair and cellular stress response can occur for up to 20 years in Parkinson’s patients before motor symptoms fully develop, according to the researchers.
The team used machine learning to discover patterns linked to these processes, which were not found in healthy individuals or patients who were already diagnosed with Parkinson’s.
European researchers discovered a way to detect early Parkinson’s disease via a blood test. (iStock)
Annikka Polster, assistant professor at the Department of Life Sciences at Chalmers who led the study, suggested in a statement that the study has found an “important window of opportunity” in which the disease can be detected “before motor symptoms caused by nerve damage in the brain appear.”
“The fact that these patterns only show at an early stage and are no longer activated when the disease has progressed further also makes it interesting to focus on the mechanisms to find future treatments,” she added.
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Polster confirmed that the study highlighted biomarkers that “likely reflect some of the early biology of the disease,” which “paves the way for broad screening tests via blood samples: a cost-effective, easily accessible method.”
The findings were published in npj Parkinson’s Disease.
Blood tests for early Parkinson’s diagnosis could become more common, researchers predicted. (iStock)
The researchers plan to further develop tools to more easily detect these active mechanisms and understand how they work, according to the university.
The team predicts that, within five years, blood tests for early Parkinson’s diagnoses could become more common within clinical practice. They are also optimistic about the development of new drugs to prevent or treat the disease.
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“If we can study the mechanisms as they happen, it could provide important keys to understanding how they can be stopped and which drugs might be effective,” Polster said.
“This may involve new drugs, but also drug repurposing, where we can use drugs developed for diseases other than Parkinson’s because the same gene activities or mechanisms are active.”
More than 10 million people around the world are estimated to be living with Parkinson’s disease. (iStock)
Study limitations
The researchers acknowledged that the study had some limitations, including that the gene activity measured in the blood only partly matches what’s happening in the brain.
External factors, such as medication use, may have affected the results, they added.
Also, the study population may not represent all people, so findings may not apply broadly.
By the numbers
More than 10 million people around the world are estimated to be living with Parkinson’s disease, according to the Parkinson’s Foundation. About 90,000 people in the U.S. are diagnosed each year.
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Numbers are expected to continue rising because Parkinson’s is the second-most common neurodegenerative disease after Alzheimer’s.
While research is advancing, there is no cure for the disease, although medications are available to manage symptoms.
Common motor symptoms of Parkinson’s include tremors, slowed movement, muscle stiffness, balance and walking difficulties. (iStock)
Common motor symptoms include tremors, slowed movement, muscle stiffness, balance and walking difficulties, a shuffling gait and freezing episodes.
Non-motor symptoms include loss of smell, sleep problems, constipation, fatigue, depression or anxiety, speech and swallowing changes, cognitive slowing and reduced facial expression, according to Parkinson’s Foundation and Mayo Clinic.
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Danish Anwer, a doctoral student at the Department of Life Sciences at Chalmers and the study’s first author, detailed in a statement how Parkinson’s affects the brain.
“By the time the motor symptoms of Parkinson’s disease appear, 50% to 80% of the relevant brain cells are often already damaged or gone,” he said. “The study is an important step toward facilitating early identification of the disease and counteracting its progression before it has gone this far.”
“By the time you have actual motor symptoms … a large majority of affected cells have been damaged and destroyed.”
Fox News senior medical analyst Dr. Marc Siegel agreed that Parkinson’s is a “very difficult disease” with an increasing global impact.
“By the time you have actual motor symptoms affecting gait, tremor, etc., a large majority of affected cells have been damaged and destroyed,” he told Fox News Digital.
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Siegel called the new research “exciting,” suggesting that it “opens the door for earlier and more effective diagnosis and treatment.”
Fox News Digital reached out to the study authors for comment.
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