Eval directory
Evals for Cohere Health
6 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Cohere Health AI products.
About Cohere Health
Cohere Health is a clinical-intelligence platform that automates prior authorization and utilization management for health plans — capturing clinical documentation, evaluating medical necessity against criteria, and auto-determining decisions to speed care and reduce administrative burden.
How complete this published benchmark library is across datasets, metrics, rubrics, use-case maps, and pack context. This is library coverage, not an agent performance score.
Test datasets
6/6 packs
Scoring metrics
6/6 packs
Judge rubrics
6/6 packs
Use-case maps
0/6 packs
Pack context
6/6 packs
Available eval packs for Cohere Health
6 packs ready to run.
Clinical Criteria Medical Necessity Evaluation Engine
51 graded scenarios covering edge cases, failure modes, and quality checks.
Clinical Documentation Capture Dtr Questionnaires
63 graded scenarios covering edge cases, failure modes, and quality checks.
Decisioning Auto Determination Output
61 graded scenarios covering edge cases, failure modes, and quality checks.
Eligibility Benefit Auth Requirement Determination
57 graded scenarios covering edge cases, failure modes, and quality checks.
Physician Peer Review Workflow
53 graded scenarios covering edge cases, failure modes, and quality checks.
Request Intake Multi Channel Ingestion
64 graded scenarios covering edge cases, failure modes, and quality checks.
Why eval Cohere Health AI
Cohere Health's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.
The Corsac eval library for Cohere Health measures four dimensions teams care about most when deploying medical & clinical ai agents:
- Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
- Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
- Safety gates — does it escalate or refuse when it should, and only then?
- Operator quality — does it preserve analyst trust by surfacing the right context at the right time?
Every eval pack above is hand-authored against Cohere Health's public product surface and runnable in Corsac with your own data.