Why does clinical AI need independent release review?

A model's self-check can catch obvious omissions, formatting errors, or contradictions, so it can contribute to quality control. It is not independent evidence. When the same model generates a clinical conclusion and then evaluates it, the evaluation can repeat the same missing context, assumptions, or interpretation errors. A high self-score therefore does not establish that the output is ready for release.

Independent release review separates drafting from acceptance. The workflow can apply testable rules, compare the draft with source data, use a separate evaluation where appropriate, preserve the evidence reviewed, and route the result to an authorized clinician. That reviewer must be able to inspect, edit, reject, and document the decision. AI Care Command Center can coordinate configured review stages and audit evidence, while each institution defines its roles and release criteria. AI writes. Doctors decide.