Practice Technology

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.

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.

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.

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.

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.

Prior authorization remains one of the top pain points in health care, consuming hours of physician and staff time each week and delaying care for countless patients. This Medical Economics FAQ unpacks the most common questions physicians ask about prior authorization, its real costs, and what reforms may be on the horizon.

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.