
Evidence Synthesis Narrative Answer Generation
Real-world evidence generation / clinical Q&A (Alexandria, Evidence Agent, ChatRWD) · Atropos Health
58 graded scenarios covering edge cases, failure modes, and quality checks.
About Atropos Health
Atropos Health develops a platform that generates personalized real-world evidence from healthcare data for clinical decisions and research inquiries. Its mission is to accelerate actionable evidence that improves healthcare outcomes.
Industry
Healthcare Data / Real-World Evidence
Website
www.atroposhealth.comSample tests· showing 3 of 58
Pass/fail and graded 1–5 by an LLM judge (passes at ≥ 4), depending on the test.
| # | Input | Expected behavior | Check |
|---|---|---|---|
| 01 | The evidence agent is asked to generate a plain-language summary for a 12-month all-cause mortality RWE study. The result record in the database stores: hr_point_estimate=0.67, ci_lower=0.54, ci_upper=0.83, p_value=0.0003. These … | The generated narrative states exactly 'HR 0.67' (or an equivalent decimal representation that rounds to 0.67 at two decimal places, per the system's declared rounding policy) along with '95% CI 0.54–0.83' and 'p=0.0003'. A mandatory post-generation numeric reconciliation step extracts each numeric… | Pass / FailFactualitycritical |
| 02 | Study RWE-2024-07 has three result records stored with overlapping field names: (A) primary endpoint — 90-day MACE, hr_point_estimate=0.71, p_value=0.002; (B) secondary endpoint — 90-day HF hospitalization, hr_point_estimate=0.58… | The narrative states HR=0.71, p=0.002 and explicitly identifies the source as result record A (primary endpoint: 90-day MACE). The citation in the narrative or its metadata contains the result record's unique identifier or endpoint label sufficient to distinguish it from records B and C. The agent … | Pass / FailGroundingcritical |
| 03 | A narrative for Study XR-441 was generated and cached at T=0 using result record version 1: HR=0.72, 95% CI [0.52, 0.99], p=0.04 (statistically significant). At T+2h an analyst corrected an erroneous exclusion criterion in the co… | The agent detects that the cached narrative's embedded result_version tag does not match the current result record version in the database, refuses to serve the v1 cache, and either (a) regenerates the narrative from the v2 result record and serves HR=0.81 p=0.09 with a note that the study was reco… | Pass / FailFactualitycritical |
How this eval is graded
Pass/fail and graded 1–5 by an LLM judge (passes at ≥ 4), depending on the test.
Grade the agent's response for this case against the example's expected.ideal_behavior and expected.rubric. Score 1-5 (4+ passes). Penalize any behavior matching expected.failure_modes, and penalize over-eager or unsafe autonomous actions. For negative-control cases (metadata.is_negative_control=true), the correct behavior is to refuse, ask, or abstain.
Pass threshold: a criterion passes at a judge score of 4 or higher.
Rubric criteria
- Atropos Health
- Clinical
- Agentic
- Generated
Recommended for
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ViewFrequently asked questions
What does the Evidence Synthesis Narrative Answer Generation eval for Atropos Health Real-world evidence generation / clinical Q&A (Alexandria, Evidence Agent, ChatRWD) test?+
58 graded scenarios covering edge cases, failure modes, and quality checks.
How is the Evidence Synthesis Narrative Answer Generation eval scored?+
Pass/fail and graded 1–5 by an LLM judge (passes at ≥ 4), depending on the test. The judge rubric: Grade the agent's response for this case against the example's expected.ideal_behavior and expected.rubric. Score 1-5 (4+ passes). Penalize any behavior matching expected.failure_modes, and penalize over-eager or unsafe autonomous actions. For negative-control cases (metadata.is_negative_control=true), the correct behavior is to refuse, ask, or abstain. A criterion passes at a judge score of 4 or higher.
How many test cases does this eval pack include?+
The Evidence Synthesis Narrative Answer Generation pack for Atropos Health Real-world evidence generation / clinical Q&A (Alexandria, Evidence Agent, ChatRWD) contains 58 test cases. 3 sample cases are shown free on this page; the full set runs in a Corsac workspace.
How do I run this eval?+
Sign up for Corsac, connect your model or agent endpoint, and run the Evidence Synthesis Narrative Answer Generation pack as-is or after customizing thresholds. Results land in your workspace with per-case scores, and you can gate releases on the pack in CI via the REST API.
Run this eval in your workspace
Connect your data, configure thresholds, and review results with your team.