AI

Physicians report rising comfort with artificial intelligence as a chart reviewer and clinical assistant, but data gaps persist.

The most popular stories of the year ranged from AI to MOC.

Researchers raise concerns that the rapid uptake of AI-powered scribes may be outrunning proper oversight

In 2026, the measure of trust will be how clearly a system can explain itself

AI-powered fax solutions improve referral management, enhancing efficiency and patient care while reducing administrative burdens in health care organizations.

The future of health care AI will not be defined by the power of the algorithms, but by the confidence that patients, providers, and payers place in them.

Does it matter what technology tools a health care employer has?

Half of practices now use at least one AI tool; documentation and fax automation deliver the largest reported time savings, with patient communication emerging as the next major target.

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

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.

What doctors think about AI solutions for RCM

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.

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

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.

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

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.

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.