Changes in clinician time expenditure and visit quantity with adoption of AI–powered scribes
Peer-Reviewed Publication
Updates every hour. Last Updated: 25-May-2026 12:16 ET (25-May-2026 16:16 GMT/UTC)
Researchers at the National Institutes of Health (NIH) have identified a novel, highly potent opioid that shows potential as a therapy for both pain and opioid use disorder. In a study published in Nature, the team observed the new drug’s effect in laboratory animals. They showed that it has high pain-relieving effects without causing respiratory depression, tolerance or other indicators of potential for addiction in humans.
A large multi-site study published in JAMA found that AI-powered ambient documentation technologies, or AI scribes, were associated with modest reductions in clinicians’ EHR use (13 minutes/day) and documentation time (16 minutes/day, ~10%), along with a slight increase in productivity. The benefits were most evident in high-frequency users, and are unlikely to fully explain prior reported improvements in burnout, highlighting the need for further research on how these tools reshape clinical workflows.
Today's most advanced artificial intelligence systems lack such bodily mechanisms and a new study by UCLA Health argues that this has significant implications for how these models behave as well as how safe and trustworthy they can become.
Immunotherapies have transformed cancer treatment by helping the immune system recognize and attack tumors. They work for only about 20% of patients, though, and doctors still struggle to predict who will benefit.
A Rutgers Cancer Institute study in Cell Reports Medicine promises help with both those problems. It identifies a protein that appears to predict drug response, and it shows that pairing immunotherapy with a second type of drug dramatically improves survival in mice.