BetterHealthBenchSubmit Your Model for Evaluation
Get independent, standardized evaluation of your healthcare AI model or tool. We run the same benchmarks, with the same fixed scaffolding, on every model. No vendor grades their own homework.
Evaluation Profiles
Step 1: Tell us what your tool does. Step 2: We match it to the right benchmark suite.
Different tools get different benchmarks. Evaluating a scribe on triage is nonsensical. Each profile targets the benchmarks that matter for that tool type.
Frontier LLM
30 benchmarksGeneral-purpose large language models evaluated on the full benchmark suite.
~380 scenarios
Ambient Scribe
6 benchmarksClinical documentation tools that generate notes from patient-provider conversations.
~109 scenarios
Clinical Decision Support
6 benchmarksDecision support tools for triage, diagnosis, and clinical reasoning.
~146 scenarios
EHR Agent
4 benchmarksAI agents that operate within electronic health record systems.
~76 scenarios
Diagnostic Imaging
3 benchmarksRadiology, pathology, and dermatology image interpretation tools.
~24 scenarios
Patient-Facing
4 benchmarksConsumer health tools, chatbots, and patient education systems.
~74 scenarios
Clinical AI Companies
Get independent, third-party validation of your model's clinical performance. Share results with prospective customers and regulators.
Health Systems & Hospitals
Compare AI tools against your institution's policies and clinical requirements. Test how models perform on scenarios matching your patient population.
Regulators & Policy Makers
Access standardized, reproducible evaluation data for AI governance decisions. Compare models on safety, calibration, and adversarial robustness.
Researchers
Benchmark your medical LLM against frontier models using our multi-turn protocol. Publish results with independent verification.
Evaluation Options
Standard Evaluation
From $500
Multi-turn evaluation across our full benchmark suite including triage, differential diagnosis, summarization, medical QA, safety, scribe, and specialty benchmarks.
- 34 benchmark suites, 396 clinical scenarios
- Worst-of-10 reliability testing
- Adversarial safety testing
- Comparison against 5+ frontier models
- PDF report for governance committees
Custom Evaluation
From $2,000
Tailored evaluation matching your institution's clinical requirements, policies, and patient population.
- Custom scenario development with clinician review
- Policy adherence testing (your guidelines, your workflows)
- Competitor head-to-head comparison
- Extended benchmark suites (MedHallu, NEJM CPC, CheXpert, VQA-RAD, and more)
- Dedicated evaluation report with methodology appendix
Enterprise
Contact us
Ongoing evaluation with longitudinal tracking, drift detection, and continuous monitoring.
- Monthly automated evaluation runs
- Drift alerts when performance changes
- Custom dashboard for your organization
- API access for programmatic evaluation
- Advisory board access and methodology input
Bespoke Evaluation
Built Around Your Clinical Reality
Every institution is different. Your patient population, clinical workflows, regulatory environment, and quality standards are unique. A bespoke evaluation starts with your requirements, not our benchmarks.
We work directly with your clinical and AI governance teams to design evaluation scenarios that mirror your actual use cases, test against your institutional policies, and compare the specific tools you are considering for deployment.
What is included
- Clinician-led scenario design matching your patient demographics
- Policy adherence testing against your clinical guidelines
- Head-to-head comparison of your shortlisted tools
- Specialty-specific benchmarks (ED, primary care, surgical, etc.)
- Integration testing with your clinical workflows and tools
- Bilingual/multilingual evaluation for your service population
- Board-ready governance report with methodology appendix
- Ongoing drift monitoring with quarterly re-evaluation
Federated Evaluation
Your Data Never Leaves Your Premises
For hospitals and health systems that cannot share patient data, we bring the benchmarks to you. Our evaluation harness runs inside your infrastructure, tests AI models against your real clinical data, and only shares aggregate scores, never patient records.
Inspired by the MedPerf federated benchmarking model (MLCommons), this approach lets you evaluate AI tools on your actual patient population without any data leaving your network.
Two modes
Test Models on Your Data
You have patient data. We deploy our benchmark harness + candidate AI models inside your environment. You see how each model performs on your actual cases. No data leaves.
Test Your Model on Our Benchmarks
You have an AI model. We deploy our standardized scenarios inside your environment and run them against your model. You get independent validation without exposing your model weights.
How It Works
- 1
Provide API access
Give us an API endpoint or model credentials. We run all evaluations on our infrastructure.
- 2
We run standardized benchmarks
Same protocol, same scenarios, same fixed scaffolding as every other model. No special treatment.
- 3
Get your results
Detailed report with scores, comparisons, adversarial analysis, and reliability metrics. PDF for your committee, data for your team.
Ready to evaluate your model?
Contact us at info@betterhealthbench.com or sign up for an account to submit models programmatically via our API.