Eval directory
Evals for Commure / Augmedix
6 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Commure / Augmedix AI products.
About Commure / Augmedix
Commure is an AI-native healthcare operations platform spanning patient intake, clinical documentation, coding, claims, and payment workflows. Augmedix is its wholly owned subsidiary for ambient AI medical documentation.
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 Commure / Augmedix
6 packs ready to run.
Ambient Note Generation Ai Drafting
64 graded scenarios covering edge cases, failure modes, and quality checks.
Audio Capture Ambient Listening
48 graded scenarios covering edge cases, failure modes, and quality checks.
Ehr Integration Write Back Reconciliation
68 graded scenarios covering edge cases, failure modes, and quality checks.
Hybrid Human In The Loop Review Qa
57 graded scenarios covering edge cases, failure modes, and quality checks.
Medical Coding E M Leveling Charge Capture
77 graded scenarios covering edge cases, failure modes, and quality checks.
Speech Recognition Diarization Transcription
Transcription Accuracy81 graded scenarios covering edge cases, failure modes, and quality checks.
Why eval Commure / Augmedix AI
Commure / Augmedix'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 Commure / Augmedix 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 Commure / Augmedix's public product surface and runnable in Corsac with your own data.