What is doctor-reviewed AI documentation?
Doctor-reviewed AI documentation is a clinical document the AI produces as a draft, which a qualified clinician then reviews, edits, and approves before it enters the medical record. The record stores the raw AI output, the clinician's edits, the reviewer's identity, and a timestamp. This review gate is the compliance floor for clinical AI — the practical form of governed healthcare AI, where AI writes and doctors decide.
The mechanic is a review gate with three roles. The AI authors a first draft — a consultation note, a Medical Check-Up (MCU) report, a follow-up message, a set of proposed ICD (International Classification of Diseases) codes. A qualified clinician then reviews it, makes any edits, and explicitly approves it; nothing auto-finalizes into the record. The system then stores a full version history: the original AI output, what the clinician changed, who reviewed it, and when. That record is what lets an institution explain, after the fact, exactly what the AI proposed and who confirmed it.
This is not optional polish — it is the compliance floor. In regulated markets, liability for a clinical document rests with the human who signs it, so any clinical AI must keep a doctor in the loop and keep the trail. Micromeet builds the draft/approved distinction and this audit trail into every product, from AI Scribe (Voice-to-EMR) to MCU CoPilot to Care Loop, so the review gate is enforced rather than left to good intentions.
Related questions
What exactly does the audit trail store?+
Is doctor review required by regulation, or just best practice?+
Micromeet — AI for governed healthcare. MCU CoPilot, AI Scribe (Voice-to-EMR), AI Front Desk, Care Loop, Claim Readiness and AI Care Command Center — every output doctor-reviewed. AI writes. Doctors decide. See the public benchmark →