Unlock Precision AI for Healthcare with HealthBench
Accelerate clinical AI development with real-world medical benchmarks, expert-driven rubrics, and automated scoring. HealthBench is the missing piece in your AI evaluation workflow.
What is HealthBench?
HealthBench is the industry's first comprehensive AI evaluation benchmark tailored specifically for healthcare applications. Created by OpenAI, HealthBench combines thousands of real-world, multi-turn physician–patient dialogues with rigorously crafted scoring rubrics to assess AI models across medical accuracy, safety, empathy, and compliance.
Whether you're a research scientist, clinical developer, or healthcare provider, HealthBench provides the gold standard metrics and processes you need to quantify and improve your model's performance in realistic clinical scenarios.
Why HealthBench?
Rigorous Medical Standards
HealthBench leverages insights from over 260 physicians across 60 countries to deliver medically sound evaluation criteria.
Comprehensive Dataset
With 5,000+ multi-turn physician–patient dialogues and 48,000+ rubric items, HealthBench tests AI performance across broad clinical scenarios.
Automated Scoring
Automate your evaluation pipeline with GPT-based scoring engines designed for HealthBench, saving hours of manual review.
Open and Extensible
HealthBench offers open-source code, transparent documentation, and adaptable rubrics to suit any specialty or research focus.
Key Features of HealthBench
Extensive Dialogue Library
- Over 5,000 physician-created medical dialogues
- Covers primary care, emergency medicine, specialties, mental health, and telemedicine
- Each scenario is paired with structured rubric items for detailed assessment
Expert Rubric Framework
- Rubrics co-developed by 262 board-certified doctors
- 48,562 discrete scoring criteria spanning accuracy, empathy, safety, and compliance
Automated Evaluation Engine
- Plug-and-play scoring via GPT-powered evaluators
- Real-time performance dashboards track model metrics against medical gold standards
Open-Source Reference Implementation
- Full codebase on GitHub under permissive license
- Sample notebooks to jumpstart Python integrations
Collaborative Workspaces
- Invite team members to your workspace
- Share benchmark results, annotations, and notes in real time
- Assign review tasks and track progress with built‑in project management tools
How HealthBench Works
Step 1
Import Your AI Model
- Connect any AI model or API endpoint via REST or gRPC
- Supported frameworks include Python SDK, JavaScript SDK, and CLI integration
Step 2
Select Evaluation Scenarios
- Choose from preset scenario collections
- Customize scenario sets by adding or excluding specific dialogues
Step 3
Run Automated Benchmark
- Launch batched jobs directly through the dashboard or CLI
- Monitor real-time logs, error rates, and latency metrics
Step 4
Analyze Results
- View comprehensive reports with per-scenario score breakdowns
- Compare model versions side by side on the leaderboard
Step 5
Iterate and Optimize
- Identify performance gaps with targeted scenario deep‑dive pages
- Retrain or fine-tune your model, then rerun to measure improvements
Real-World Use Cases
Academic Research
Universities and research labs leverage HealthBench to validate novel AI algorithms in medical NLP, clinical decision support, and patient triage. Benchmark publications often cite HealthBench scores to demonstrate improvements.
Startup Accelerators
Clinical AI startups integrate HealthBench into demo days and funding pitches, showcasing robust benchmark results that highlight safety, compliance, and domain expertise ratings.
Healthcare Institutions
Hospitals and telehealth providers use HealthBench to audit third‑party AI offerings, ensuring vendor solutions meet institutional quality standards before deployment in patient care workflows.
Regulatory Submissions
Medical device manufacturers include HealthBench reports in regulatory filings to demonstrate alignment with FDA guidance on AI/ML in healthcare.
Internal Model Governance
Large enterprises deploy HealthBench in CI/CD pipelines, enforcing performance gates. Only models passing HealthBench thresholds automatically proceed to production environments.
Your Use Case
Discover how HealthBench can transform your AI evaluation workflow.
Benefits of Adopting HealthBench
Elevated Patient Safety
Minimize harmful or inaccurate AI outputs with rigorous HealthBench safety metrics.
Faster Time to Market
Cut evaluation cycles from weeks to hours using HealthBench automated pipelines.
Regulatory Confidence
Align with global healthcare standards and streamline FDA, EMA, and MHRA submissions.
Cross‑Functional Collaboration
Bridge gaps between data scientists, clinicians, and compliance teams with shared workspaces.
Continuous Improvement
Monitor drift, retrain, and redeploy models with ongoing tracking and alerts.
Data-Driven Decisions
Make informed choices about AI deployment based on comprehensive performance metrics.
Testimonials
"Implementing HealthBench was a game‑changer for our AI research. We reduced manual review time by 80% and saw clear, actionable insights into model weaknesses."
Dr. Maya Chen
Clinical Informatics Lead at MedTech Research Lab
"As a telehealth provider, we rely on HealthBench to vet new AI tools. The standardized scores give us confidence that any solution we deploy meets our rigorous safety standards."
James Ramirez
CTO of VirtualCare Health
"Our regulatory filings now include HealthBench results, which has significantly smoothed our conversations with FDA reviewers."
Priya Singh
Director of Regulatory Affairs at NeuroAI Devices
Getting Started with HealthBench
Join the growing community of healthcare AI professionals using HealthBench to elevate their model evaluation standards.
Sign Up for Free
Create your HealthBench account in under a minute.
Explore Sample Benchmarks
Run demo scenarios to see HealthBench in action.
Integrate Your Models
Connect via SDK or API.
Publish Results
Share or export your benchmark reports.
Frequently Asked Questions
What is included in the HealthBench benchmark suite?
The HealthBench suite includes 5,000+ dialogues, 48,562 rubric items, scoring scripts, demo notebooks, and CI integration templates.
Can I customize HealthBench scenarios?
Absolutely. HealthBench provides scenario filters, rubric weight editors, and the ability to upload your own dialogue sets.
Is HealthBench compliant with HIPAA and GDPR?
Yes. HealthBench data is de-identified and engineered to meet HIPAA, GDPR, and other regional privacy regulations.
How do I integrate HealthBench into my CI/CD pipeline?
Use our CLI tool or REST API. Detailed integration guides are available in the HealthBench documentation.
What support channels are available?
HealthBench customers receive email support, dedicated Slack workspace, and optional enterprise service level agreements.
Can I contribute to HealthBench?
Yes! HealthBench welcomes community contributions to expand datasets, scenarios, and scoring modules through our GitHub repository.
Ready to Transform Your AI Evaluation?
Join the leading healthcare organizations already using HealthBench to ensure their AI models meet the highest standards.