This includes ChatGPT for Healthcare, available starting today and already rolling out to leading institutions like AdventHealth, Baylor Scott & White Health, Boston Children’s Hospital, Cedars-Sinai Medical Center, HCA Healthcare, Memorial Sloan Kettering Cancer Center, Stanford Medicine Children’s Health, and University of California, San Francisco (UCSF).

It also includes the OpenAI API, which powers much of today’s healthcare ecosystem. Thousands of organizations have configured it to support HIPAA-compliant use—such as Abridge, Ambience, and EliseAI.

Healthcare is under unprecedented strain. Demand is rising, clinicians are overwhelmed by administrative work, and critical medical knowledge is fragmented across countless sources. At the same time, AI adoption in healthcare is gaining momentum, driven by its potential to help address these challenges. Advances in models have significantly improved⁠ AI’s ability to support real-world clinical and administrative work, like helping clinicians personalize care using the latest evidence. According to the American Medical Association⁠(opens in a new window), physicians’ use of AI nearly doubled in a year. Yet many clinicians still have to rely on their own tools because their organizations aren’t adopting AI fast enough, often due to the constraints of regulated environments.

OpenAI for Healthcare helps close that gap by giving organizations a secure, enterprise-grade foundation for AI—so teams can use the same tools to deliver better, more reliable care, while supporting HIPAA compliance.