https://jamanetwork.com/journals/jamanetworkopen/fullarticle...
=> the error rate was 7.4% in the version generated by speech recognition software, 0.4% after transcriptionist review, and 0.3% in the final version signed by physicians. Among the errors at each stage, 15.8%, 26.9%, and 25.9% involved clinical information, and 5.7%, 8.9%, and 6.4% were clinically significant, respectively.
AI "scribes" in a perfectly replicable best-of-all-worlds scenario (2025): https://bmjdigitalhealth.bmj.com/content/1/1/e000092
=> Omissions dominated error counts (83.8%, p<<0.001), with CAISs varying widely in error frequency and severity, and a median of 1–6 omissions per consultation (depending on CAIS). Although less frequent, hallucinations and factual inaccuracies were more often clinically serious. No tested CAIS produced error-free summaries.
On the gripping hand, people who work in the management end of the US healthcare industry can't be trusted with healthcare or information security to begin with.