Physician in the Loop · Oct 24, 2026 · 4:57
Listen in the Podli app 🎧
Follow your favourite podcasts, listen offline and in the car with CarPlay and Android Auto, and always pick up where you left off. Free to try.
Wrong automated advice cuts clinicians' accuracy, meta-analysis finds
The voices on this episode are generated, and so is the script, from the day's post at Physician in the Loop. Every fact in the post links to its source.
Clinicians had about 10 times the odds of a correct decision when automated advice was right than when it was wrong, a meta-analysis of 46 reports published Oct. 23 in npj Digital Medicine found.
In four real-world studies of computerized electrocardiogram readings, 26.6% of erroneous machine interpretations went uncorrected and unrecognized, the authors reported. Studies of current AI and large language models documented harmful reliance on wrong output but were too varied to pool, and only one study reported harm at the patient level. Human oversight is protective "only if clinicians recognize and resist erroneous output," wrote the authors, from West China Hospital at Sichuan University.
Elsewhere, Quest Diagnostics told regulators an unauthorized party reached patient records through the Quanum system clinicians use to order lab tests, and the Department of Health and Human Services moved to keep its workforce on Anthropic's Claude without a competitive bid.
In this episode
Episodes: Physician in the Loop