
New JAMA analysis estimates more than 11,000 physicians on H-1B visas in FY 2024; reliance nearly doubles in rural areas and quadruples in the poorest counties.

Austin Littrell is assistant editor of Medical Economics.

New JAMA analysis estimates more than 11,000 physicians on H-1B visas in FY 2024; reliance nearly doubles in rural areas and quadruples in the poorest counties.

Clinicians relying on AI-powered decision-making were considered less skilled and less competent by their peers than those who did not use AI.


Legal scholar Sara Gerke explains how artificial intelligence is transforming malpractice law — and what physicians can do now to navigate the next era of clinical liability.

Sara Gerke says AI will soon be woven into the standard of care — and physicians who document decisions and seek training will be best prepared.

Advocates say the shift better reflects real-world clinical roles, but the path depends on state laws and hospital policies.


Sara Gerke outlines two possible futures for AI in medicine — one that prevents malpractice claims, and one that multiplies them.

David Ford, CEO of CMA Physician Services, joins the show to explain how Medway helps independent physicians offload administrative burdens so they can focus on patient care.

Sara Gerke says professional guidance, clear labeling and education will be critical to protect physicians from new AI-related liability risks.


A new survey from Smarter Technologies and MedCity News shows hospitals and practices waiting months for payment, battling costly billing software and turning to AI for relief.

A new study suggests pharmacy technicians can ease physicians’ administrative load and improve patient access. Can practices afford not to hire them?

Sara Gerke explores the legal and ethical gray areas of disclosing AI use in patient care — and why “proportionate transparency” may be the fairest path forward.

How will artificial intelligence reshape the rules of medical malpractice? Northeastern University’s David Simon unpacks the legal, ethical and practical dilemmas now confronting physicians, hospitals and AI developers.

The top news stories in medicine today.

David Simon, J.D., LL.M., Ph.D., looks ahead at how widespread AI adoption may de-skill physicians, trigger early waves of litigation and push courts to create new legal norms for medical technology.

A new educational effort from Ipsen spotlights one of medicine’s most overlooked weak points: the transition from pediatric to adult care.

Sara Gerke discusses her proposal for AI “facts labels,” arguing that transparency in device labeling could help physicians, health systems and regulators share accountability.

David Simon, J.D., LL.M., Ph.D., says AI could cut malpractice claims if it becomes part of the accepted standard of care — but shift liability toward manufacturers in product defect cases.

Bain & Company finds hospitals accelerating investment in primary care and value-based care, even as labor shortages and patient skepticism over AI threaten progress.

Sara Gerke shares new findings from the CLASSICA project, revealing how surgeons view AI liability — and why shared accountability may be the future of malpractice law.

David Simon, J.D., LL.M., Ph.D., contrasts the European Union’s proactive approach to AI oversight with the U.S. system’s reliance on courts and the FDA — and argues for a middle path balancing innovation and accountability.

David Simon, J.D., LL.M., Ph.D., explores how public skepticism toward “robot diagnosis” could shape future court decisions, even as confidence in AI’s accuracy grows over time.

Paul Merrick, M.D., and Dan Greenleaf of Duly Health and Care join the show to discuss how independent physician groups can stay competitive, lower costs and preserve autonomy amid consolidation across the health care industry.

Sara Gerke explains why jurors may soon see following an AI recommendation as the “reasonable” choice, even when it diverges from traditional medical standards.

David Simon, J.D., LL.M., Ph.D., explains why AI outputs are unlikely to define medical negligence — unless courts first determine that the AI itself represents the standard of care.


David Simon, J.D., LL.M., Ph.D., examines the unresolved gray areas between physicians, hospitals and AI manufacturers when errors occur.

Drawing from past device litigation, David Simon, J.D., LL.M., Ph.D., outlines how product liability claims against AI developers and device makers may mirror — and expand upon — traditional malpractice law.