AI Audit Trail (Clinical)
A clinical AI audit trail is the immutable, time-stamped record of an AI-assisted clinical document's full lifecycle: the raw AI output, every human edit made to it, the identity of the reviewing clinician, and the timestamps for each step. It exists so an organization can show exactly what the AI proposed, what a person changed, and who signed off — turning the principle that a human stays in control of the final record into verifiable evidence rather than a claim.
Without an audit trail, an AI-generated note is just text — you cannot tell which parts came from the model, what a clinician corrected, or whether anyone reviewed it at all. With one, every clinical document carries its own provenance, which is what regulators, payers and quality teams need when a record is questioned after the fact.
This is core to governed healthcare AI: the audit trail is the mechanism that makes "AI writes. Doctors decide." actually enforceable, by recording the human review and approval that turn an AI draft into a clinician-owned record.
Micromeet — AI for governed healthcare. See the public benchmark →