Author

S. Ali

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Review Open access Oct 2026

Quality and transcript-grounded clinical-risk error burden of AI-generated vs allied health professional clinical notes: a paired simulation study across four disciplines

Background: Ambient artificial-intelligence (AI) scribes are being deployed beyond medicine into allied-health practice, but comparative evidence mainly concerns physician documentation. Objective: To compare quality and transcript-grounded clinical-risk error burden of AI-generated and allied health professional notes...

H. Bergman, V. Liu, S. Ali · medRxiv · 0 citations

#small language model Review Open access Aug 2026

Quality, consistency, and clinical safety of AI-generated versus clinician-written clinical notes: a multi-country paired simulation study

In this simulation, AI-generated notes scored higher on documentation quality, varied less, and carried fewer clinically significant errors than notes written on the same consultations by junior-to-middle-grade clinicians.

H. Bergman, V. Liu, B. Austin et al. · medRxiv · 1 citation