Practice Technology

Offering two or more evidence-based alternatives in EHR prompts made physicians more likely to choose higher-quality care.

A new survey shows physicians are cautiously optimistic about AI’s potential, but still wary of bias, safety and patient trust.

Digital twin technology for medical device management enhances training, predictive maintenance, and remote support for improved patient care and safety.

Explore essential strategies for AI compliance in medical practices, ensuring patient safety, privacy, and trust while navigating new regulations and technologies.

When life sciences, insurers and clinicians align around timely, trusted data, health care can finally deliver more coordinated, cost-effective, patient-centered care.

New WalletHub data shows where the federal shutdown’s fallout is spreading fastest — and how long recovery could take.

Practices using remote physiologic monitoring expanded care access without cutting visits for other patients.

What doctors think about AI solutions for RCM

And why it’s time to rethink how lifesaving vaccines and other medicines are delivered.

Sara Gerke, David A. Simon, J.D., LL.M., Ph.D., and Deepika Srivastava join the show to talk about malpractice and physician liability in cases involving artificial intelligence.

Results from the Relias 2025 Technology in Healthcare Report.

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

RPM promises to keep patients healthier, reduce the burden on acute care facilities and create new economic efficiencies that benefit the entire health system.

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.