STAT+ analyzes what midterm results mean for health AI policy
The midterms showed negative sentiment around AI across the U.S.; the piece examines how those attitudes could shape legislation on AI use in health care.
The midterms showed negative sentiment around AI across the U.S.; the piece examines how those attitudes could shape legislation on AI use in health care.
Why it matters: Shows hospitals moving to govern clinicians' fast-spreading chatbot use and its privacy risks.
As hundreds of thousands of doctors consult AI chatbots to make care decisions, health systems are weighing new risks to patient health data and deciding whether to block the tools or buy in.
NSW Health is seeking legal advice after an AI cancer detection device was scrapped, Health Services Daily reports.
Why it matters: State-level rules for ambient AI in exams could shape clinician adoption nationwide.
PYMNTS reports that as AI tools listen in on doctor visits, state legislators are writing rules governing the practice.
The Cool Down reports a patient saying a hospital provided her ChatGPT-generated content as her treatment plan.
Why it matters: Comment record shows what industry and patients want from FDA rules for generative AI devices.
Patients, providers and medtech firms submitted hundreds of comments to the FDA on how the agency should approach generative AI in medical devices; Healthcare Dive summarizes five positions.
An npj Digital Medicine paper discusses the FDA-CMS TEMPO pilot, which creates a regulatory middle ground for AI-enabled mental health devices that otherwise land in unregulated consumer markets.
Why it matters: Medicare's AI prior authorization pilot could shape coverage decisions and access for millions of patients.
A report drawing on evidence recovered in litigation raises concerns about Medicare's experiment using AI to flag unnecessary care and speed prior authorization while cutting spending.
Why it matters: Liability guidance from the AMA shapes how hospitals and vendors deploy clinical AI and who answers for errors.
The AMA's new issue brief assigns distinct responsibilities to physicians, developers and healthcare organizations, arguing patient protection requires accountability from all stakeholders in clinical AI.