Healthcare organizations can now connect EHR and additional industry data to ChatGPT
OpenAI announced a new EHR integration that links Epic patient records to ChatGPT for Healthcare, plus a Healthcare Public Data plugin giving structured access to official datasets such as PubMed, DailyMed, and CMS Coverage. Clinicians can query lab results, medication changes, and follow‑ups directly within ChatGPT, which summarizes authorized patient context and supports EHR workflow integration. Independent physician evaluations found 99.1% of responses safe across 27 use cases and over 93% accuracy for the five connected data sources.
The Core Development
Healthcare organizations need AI that works across the systems and information central to care and operations. Patient context, medical evidence, public healthcare data, and organizational knowledge often live in different places. Connecting these sources in a governed workspace helps teams find the right information, understand it in context, and put it to work across the business.
Today, we’re introducing a new electronic health record integration that brings authorized patient context from Epic into ChatGPT for Healthcare, along with the Healthcare Public Data plugin for direct, structured access to official healthcare datasets like PubMed, DailyMed, and CMS Coverage. Together, these capabilities bring ChatGPT closer to the systems and sources healthcare teams trust, while supporting the controls and compliance healthcare work requires.
Healthcare organizations can now connect Epic environments to ChatGPT. Instead of searching across appointment notes, laboratory results, medications, and specialist documentation, clinicians can ask:
Real-World Use Cases & Applications
ChatGPT in the EHR workflow : In supported deployments, ChatGPT can be integrated directly into an EHR layout, enabling AI assisted workflows without leaving the patient chart.
Putting connected healthcare context to work depends on models that can interpret it accurately. OpenAI partners with hundreds of physicians across 60 countries, 49 languages, and 26 medical specialties to help us define, measure, and improve health responses in ChatGPT. To date, these physicians have reviewed more than 700,000 model responses across examples that reflect real-world healthcare questions. Their feedback improves model behavior and strengthens healthcare-specific tools.
To understand how ChatGPT performs when working with connected EHR context, physicians evaluated responses across 27 clinical use cases, including pre-visit review, clinical timelines, medication review, and handoff summaries. Across 4,363 ratings, physicians rated 99.1% of responses safe across all use cases.
Deployment & Availability
ChatGPT for Healthcare gives clinical, research, and administrative teams a governed workspace for using AI. It combines healthcare-specific capabilities with enterprise controls such as role-based access, single sign-on, and audit logs. With an applicable Business Associate Agreement, customers can use ChatGPT Work, Codex, apps, and plugins in the same workspace to support HIPAA-compliant workflows.
Strategic Perspective & Ecosystem Impact
ChatGPT brings together relevant information from the authorized patient record, summarizes important developments, and points back to supporting chart information.
EHR context in ChatGPT: Bring authorized patient information from a supported EHR into ChatGPT to review patient history, identify changes, and prepare for appointments.
Designed to complement existing EHR workflows, these experiences help clinicians review authorized patient information alongside other trusted sources in ChatGPT.
Why it matters
This integration shows AI’s ability to securely connect to regulated data sources, improving clinical decision support while maintaining compliance. It also reflects OpenAI’s push for specialized, governed AI workspaces in high‑stakes sectors.