health
Study finds word error rate can miss high-risk AI scribe errors
A medRxiv preprint evaluated an ambient AI scribe across a multilingual, controlled corpus and found that word error rate did not reliably identify rare, clinically consequential transcription errors. The authors argue that frequency-based accuracy measures should be complemented by context-aware clinical-risk assessment.