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

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.

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.

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.

Jason Jobes of Norwood shares why mastering data interpretation is key to driving performance and reimbursement under VBC.

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

A year after its landmark artificial intelligence summit, JAMA says health systems are deploying unproven algorithms with little evidence they improve outcomes — or even do no harm.

Deepika Srivastava of The Doctors Company breaks down how AI is transforming medical malpractice — from shifting standards of care to new liability risks — and what physicians must do now to stay protected.

Deepika Srivastava of The Doctors Company discusses how AI is transforming medicine — and why physicians must stay engaged as the technology evolves.

Deepika Srivastava of The Doctors Company explains how malpractice insurers can guide physicians through the legal and clinical challenges of AI.

Deepika Srivastava of The Doctors Company explains how open communication and patient consent can reduce malpractice risk when using AI tools.