Scientific research indicates that for every hour spent in direct patient care, physicians spend nearly two additional hours on administrative tasks, particularly on electronic health records (EHRs) and desk work. This excessive administrative burden not only reduces the time available for patient care but also contributes to physician burnout and inefficiencies in healthcare delivery. To address these challenges, this study introduces MediGen, a fine-tuned large language model (LLM) designed to automate the generation of medical reports from medical dialogues. By leveraging state-of-the-art methodologies for fine-tuning open-source pretrained models, including LLaMA3-8B, MediGen achieves high accuracy in transcribing and summarizing clinical interactions. The fine-tuned LLaMA3-8B model demonstrated promising results, achieving a ROUGE score of 58% and a BERTScore-F1 of 72%, indicating its effectiveness in generating accurate and clinically relevant medical reports. These findings suggest that MediGen has the potential to significantly reduce the administrative workload on physicians, improving both healthcare efficiency and physician well-being.

Neurologist burnout is caused by a variety of reasons, including, but not limited to provider shortages, covering multiple hospitals simultaneously, and increasing demand for emergency stroke care. Among neurologists specifically, the shortage is only expected to get worse -- projected to increase by 19% by 2025. The human and financial cost of this burnout can be felt at all levels of healthcare. It's estimated that the U.S. healthcare system alone spends $4.6 billion (£3.0 billion British pounds) per year on burnout caused by physician shortages, physician turnover, and expenses to effectively hire and train replacements. Worse yet, this growing problem can also greatly increase the number of medical errors and compromise the overall care of patients. Fortunately, emerging technologies can help reduce many of the burdens leading to burnout among those working in neurology.

Two of the most significant predictions for the new decade are that AI will become more pervasive, and the U.S. health-care system will need to evolve. AI can augment and improve the health-care system to serve more patients with fewer doctors. However, health innovators need to be careful to design a system that enhances doctors' capabilities, rather than replace them with technology and also to avoid reproducing human biases. A recent study published in Nature (in collaboration with Google) reports that Google AI detects breast cancer better than human doctors. Babylon Health, the AI-based mobile primary care system implemented in the United Kingdom in 2013, is coming to the U.S. Health-care is an industry in need of AI assistance due to a shortage of doctors and physician burnout.

Dr. Steven Waldren, vice president and chief informatics officer at the American Academy of Family Physicians, right, and Dr. Kamel Sadek, director of informatics at Village Medical, speak at the HIMSS22 conference in Orlando. ORLANDO, Fla. – Even before COVID-19 made the business of healthcare a nightmare for countless physicians and clinicians, burnout was a prevalent issue. And even the slow, still-ongoing emergence into normalcy hasn't been enough to ease this trend: Clerical burdens, including clinical documentation, are a major contributor. But for primary care physicians in particular, a new class of technology, including AI-powered digital assistants, is improving their capacity and capability, while reducing their administrative and cognitive burden. Dr. Steven Waldren, vice president and chief informatics officer at the American Academy of Family Physicians, cited data showing that the average patient visit to a PCP takes about 18 minutes, and of that time, 27% is dedicated to face-to-face time with a patient.

Two of the most significant predictions for the new decade are that AI will become more pervasive, and the U.S. health-care system will need to evolve. AI can augment and improve the health-care system to serve more patients with fewer doctors. However, health innovators need to be careful to design a system that enhances doctors' capabilities, rather than replace them with technology and also to avoid reproducing human biases. A recent study published in Nature (in collaboration with Google) reports that Google AI detects breast cancer better than human doctors. Babylon Health, the AI-based mobile primary care system implemented in the United Kingdom in 2013, is coming to the U.S. Health-care is an industry in need of AI assistance due to a shortage of doctors and physician burnout.

Eric Topol is the founder and director of the Scripps Research Translational Institute in La Jolla, Calif. His books include The Patient Will See You Now: The Future of Medicine is in Your Hands and Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. For decades, there has been a steady erosion of the practice of medicine, with progressively less time between patients and doctors, a global epidemic of physician burnout that has now reached a crisis, a doubling of medical errors when doctors have symptoms of depression and most serious errors attributable to bad clinical judgment. Concurrently, each patient's cumulative data, such as prior history, laboratory tests, scans and sensor output, keeps growing, as has the doctor's relegation to the role of data clerk. The limited time to think has led one leading physician to conclude: "Modern medical practice is a Petri dish for medical error, patient harm and physician burnout."

Rx.Health is adding a suite of tools to prevent physician burnout. How do you keep physicians from being overwhelmed by a mountain of paperwork? Give them a voice assistant, similar to Amazon's Alexa or Apple's Siri. That's the thinking behind Suki, a Redwood City-based startup that recently struck a partnership with Mount Sinai Health System spinoff Rx.Health. Rx.Health curates digital tools for doctors, allowing them to prescribe digital therapeutics and care plans from electronic health record systems.

The healthcare industry is evolving with the exponential increase in the exploration of artificial intelligence (AI). These implications go far beyond technology, points out the Everest Group, with the majority of AI decisions impacting everything from customer experience to cost to business processes. While there are certainly huge cost impacts (think: reduced need for customer care executives and reduced cost of population health management) as well as significant business impacts (think: increased healthcare savings and enhanced patient experience), the operational impact is perhaps the most vital because it personalizes patient care. To that end, physicians can make more accurate diagnoses and more efficiently engage with patients on a daily basis. This is where today's blog will focus: preventing physician burnout in the healthcare industry with the help of AI.

Artificial intelligence (AI) is poised to have a transformative impact on primary care, a recent journal article says. AI technology is starting to be applied across the healthcare sector, including digital clinical decision support tools and natural language processing. With more than 500 million patient visits annually, primary care is a prime area for AI to have a revolutionary effect on healthcare. "Primary care is where the power, opportunity, and future of AI are most likely to be realized in the broadest and most ambitious scale," the authors of the recent article in Journal of General Internal Medicine (JGIM) wrote. The journal article identifies 10 primary care areas where AI is either already generating benefits or expected to gain traction.

Artificial intelligence (AI) is poised to have a transformative impact on primary care, a recent journal article says. AI technology is starting to be applied across the healthcare sector, including digital clinical decision support tools and natural language processing. With more than 500 million patient visits annually, primary care is a prime area for AI to have a revolutionary effect on healthcare. "Primary care is where the power, opportunity, and future of AI are most likely to be realized in the broadest and most ambitious scale," the authors of the recent article in Journal of General Internal Medicine (JGIM) wrote. The journal article identifies 10 primary care areas where AI is either already generating benefits or expected to gain traction.