OpenAI launches ChatGPT Health, a dedicated space for personalized health guidance in ChatGPT

Details

• OpenAI introduced ChatGPT Health, a dedicated health-focused space within ChatGPT designed to support, not replace, medical care.
• Users can optionally and securely connect electronic medical records and wellness apps, including Apple Health, MyFitnessPal, and Peloton, so responses are grounded in their own health data.
• ChatGPT Health is designed to help explain lab and test results, prepare for doctor visits, advise on diet and workout plans, and compare health insurance options.
• Health conversations, files, and memories live in a separate, compartmentalized space with additional privacy protections; health data does not flow into regular chats.
• Health chats appear in history but are siloed from standard conversations, and users can view or delete Health memories at any time via the Health space or Settings > Personalization.
• OpenAI emphasizes security controls around connected records and apps, positioning ChatGPT Health as a navigation aid for medical care rather than a diagnostic or treatment tool.
• The feature is rolling out first to a small group of users via a waitlist, with plans to expand to all users on web and iOS; some medical record integrations and apps remain US-only, and Apple Health requires iOS.
• By centralizing health interactions and app data in one interface, ChatGPT Health aims to help users spot patterns over time and feel more informed, prepared, and confident in medical discussions.

Impact

ChatGPT Health marks OpenAI’s first dedicated vertical experience inside ChatGPT, signaling a move to become a key interface for personal health data and everyday medical decision support. By integrating medical records and wellness apps, OpenAI is positioning ChatGPT alongside emerging AI health companions from major tech firms, but with a strong emphasis on privacy controls and separation of health data from general chats. If widely adopted, this could shift how patients prepare for appointments, interpret tests, and evaluate insurance, potentially easing pressure on clinicians while raising new expectations for AI literacy, safety, and regulatory scrutiny around consumer health tools. Over the next 12–24 months, healthcare providers, insurers, and digital health apps may feel competitive pressure to expose more structured data and workflows to user-facing AI agents, accelerating interoperability efforts while intensifying debates over data governance and the boundary between guidance and medical practice.