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Aurenex

Clinical · 22 pages

An Evaluation Framework for Clinical AI Agents

How to test agents against historical study scenarios before exposing them to live trial data.

Scoring critical-finding recall separately from summary fluency.

Constructing scenario sets from historical deviations and safety signals.

Weighting false negatives appropriately for clinical risk.

Operating regression suites across prompt and model changes.

Next step

Bring a real problem. We will bring the architecture.

Thirty minutes with our architects is usually enough to tell whether a programme is ready for agents, or whether the data foundation needs work first.