Marcus Lindqvist · Head of Clinical Data Science · 8 min read
Clinical agents fail in quiet ways. They do not crash; they produce a plausible summary that omits the one deviation that mattered.
Our evaluation harness runs each candidate agent against a curated set of historical study scenarios where the ground truth is known, scoring recall on critical findings separately from overall fluency.
Critically, we weight false negatives far more heavily than false positives. An agent that escalates too often creates work; an agent that misses a safety signal creates harm.
Regression suites run on every prompt or model change. A prompt edit is a code change and is treated as one, with review, versioning and a documented rationale.
- clinical
- evaluation
- agents