Expert Interviews

With denials cutting deeper into practice revenue, physicians are turning to AI-driven tools to catch errors before submission, automate appeals and reduce administrative burnout.

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.

With denials cutting deeper into practice revenue, physicians are turning to AI-driven tools to catch errors before submission, automate appeals and reduce administrative burnout.

With denials cutting deeper into practice revenue, physicians are turning to AI-driven tools to catch errors before submission, automate appeals and reduce administrative burnout.

With denials cutting deeper into practice revenue, physicians are turning to AI-driven tools to catch errors before submission, automate appeals and reduce administrative burnout.

With denials cutting deeper into practice revenue, physicians are turning to AI-driven tools to catch errors before submission, automate appeals and reduce administrative burnout.

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.

With denials cutting deeper into practice revenue, physicians are turning to AI-driven tools to catch errors before submission, automate appeals and reduce administrative burnout.

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.

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.

With denials cutting deeper into practice revenue, physicians are turning to AI-driven tools to catch errors before submission, automate appeals and reduce administrative burnout.

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.

David Simon, J.D., LL.M., Ph.D., discusses how AI could gradually reshape the legal definition of the “standard of care," and what happens when not all physicians or systems have equal access to these tools.

David Simon, J.D., LL.M., Ph.D., explains why the first clues to artificial intelligence malpractice law may come from outside of medicine — including recent verdicts in the autonomous vehicle industry.

Sara Gerke of the University of Illinois explains how artificial intelligence is already challenging malpractice law — and why unclear liability could slow safe adoption.

With denials cutting deeper into practice revenue, physicians are turning to AI-driven tools to catch errors before submission, automate appeals and reduce administrative burnout.

At the MGMA Leaders Conference 2025, Helen Falkner of Jackson Physician Search breaks down new research showing how early-career physician loyalty begins long before day one, and why authentic relationships are medicine’s most overlooked retention strategy.

Helen Falkner of Jackson Physician Search shares why transparency — not pay or perks — is what younger physicians value most in their leaders.

Helen Falkner of Jackson Physician Search explains how mentorship and engagement programs deliver measurable returns — both financially and in patient care.

Helen Falkner of Jackson Physician Search explains why open, two-way communication between leadership and physicians is the foundation of a culture that keeps talent.

Why advocates say health care needs a nuanced view of private equity partnerships in medicine.