Blog & news
How to catch AI scribe errors before you sign the note
AI documentation still needs a clinician’s review. This KevinMD essay focuses on checking critical details and monitoring errors after deployment.


DR GPT™ perspective
An efficient draft can still contain unsupported clinical details. My KevinMD essay examines how clinicians can review important sections of a generated note and recognize when a scribe has turned a possibility into a diagnosis. It also asks who monitors errors after a hospital adopts the tool.
By Harvey Castro, MD, MBA. Originally published 2026-10-15 on KevinMD.
Read the full article on KevinMD.
Browse my KevinMD archive or explore healthcare AI keynotes and workshops.
