OpenAI Interest Groups

AI in Healthcare

, an open-source benchmark for evaluating large language models in 

5,000 multi-turn, multilingual conversations

 scored against a physician-authored rubric covering 

 Simulates patient–provider exchanges, emergencies, and data interpretation. 

 Rubrics and meta-evaluations ensure alignment with clinical standards. 

 Dataset and tools are on GitHub for benchmarking or fine-tuning domain-specific models. 

HealthBench’s methodology can be extended to 

psychiatric and psychological applications

—from depression screening to crisis triage and therapeutic-dialogue evaluation. Imagine a 

 that rigorously tests AI’s ability to assess mood, detect risk, and deliver evidence-based interventions.

OpenAI notes there’s “substantial room for improvement,” especially around context handling and worst-case reliability. As someone passionate about 

 How might the HealthBench team incorporate psychiatric use cases in future releases? 

 Which pilot projects or partnerships could extend HealthBench to mental health applications? 

 How can I support data curation, rubric development, or pilot studies to ensure 

Looking forward to your thoughts and collaboration ideas!

🚀 Introducing HealthBench: A Milestone in Democratizing AI-Powered Mental Health Care

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