
AI Agent Evaluation: A Passing Test Is Not Production Proof
Evaluate the complete agent release and its enforcement boundaries. Use fault injection, independently checked outcomes, and explicit limits when introducing production authority.

Evaluate the complete agent release and its enforcement boundaries. Use fault injection, independently checked outcomes, and explicit limits when introducing production authority.

Design clinical documentation AI around authorized records, patient and encounter validation, source provenance, medication discrepancies, and human review. Keep record updates and handoff responsibility with authorized clinicians.

Build clinical decision support around a review contract: validate patient evidence, expose uncertainty, separate urgency from extended analysis, and make the basis of every option reviewable by a licensed clinician.

Design patient education and discharge drafting around approved clinical facts. Preserve medication instructions, language and accessibility needs, unresolved questions, and clinician authority over review and release.

Use a governed AI prompt to support healthcare quality, patient safety, and clinical operations. Preserve evidence types, define reliable measures, test interventions in bounded pilots, and keep safety and approval decisions with authorized teams.

Separate a plausible AI answer from a verified claim and an authorized action. Use the Schrödinger’s cat analogy carefully, then apply evidence gates to infrastructure decisions.
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