AI

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

Is it possible to reverse the tide and unlock significant productivity gains? Here’s what health care organizations should know

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.

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

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.

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.

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.

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.

Physicians, medical student collaborate on a primer of problems and solutions.

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.

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.

Nearly nine in ten health care practitioners say fax-related delays disrupt patient care, according to a new Documo survey.

Primary care physicians may be the first point of contact for the next epidemic. Why don’t we give them the tech to detect and respond to outbreaks?

Artificial intelligence can cut documentation time, streamline scheduling and reduce burnout — but only if it’s implemented with clear goals and cost controls.

New Center for Digital Health and AI aims to put doctors at heart of new technology to improve medicine.

AI offers much potential, but do physicians trust it to solve the prior authorization problem?