OpenAI is expanding its presence in healthcare AI with a new electronic health record integration for ChatGPT for Healthcare.
The company has announced that healthcare organizations can connect supported Epic environments to ChatGPT, allowing authorized patient context to be reviewed within the AI platform. The move is designed to address a common challenge in healthcare, where patient records, medical research, public healthcare information, and organizational data can be spread across different systems.
ChatGPT Healthcare Gets Epic EHR Integration
With the new ChatGPT EHR integration, clinicians can ask questions about information contained in an authorized patient record. For example, ChatGPT can help identify what has changed since a patient’s previous visit, highlight recent laboratory results, summarize medication changes, and identify follow-ups or unresolved issues. The system can bring relevant information together and point users back to supporting information in the patient’s chart.
The integration supports two approaches. Healthcare teams can bring authorized EHR information into ChatGPT to review patient history and prepare for appointments. In supported deployments, ChatGPT can also be incorporated directly into the EHR workflow, allowing healthcare professionals to use AI-assisted capabilities without leaving the patient record system.
This makes the ChatGPT Epic integration more closely connected to existing healthcare workflows rather than functioning as a separate general-purpose chatbot.
OpenAI Adds Healthcare Teams Get Access to Nine Official Data Sources
Patient records are only one part of the information healthcare professionals need. OpenAI has also introduced a Healthcare Public Data plugin that provides structured access to nine official public healthcare sources. These include PubMed, Clinical Trials.gov, CMS Coverage, RxNorm, and DailyMed, among other sources.
The plugin makes it easier for healthcare teams to work with specific records, identifiers, fields, and versions from authoritative sources. A research team, for instance, could use Clinical Trials.gov to examine recruiting clinical trials and compare eligibility criteria. A pharmacy team could use DailyMed to check medication information, while population-health teams could bring research, clinical-trial, and Medicare coverage information together when evaluating healthcare programs.
The development strengthens OpenAI’s broader healthcare AI tools by giving professionals access to patient context and trusted public information in the same governed environment. Instead of relying only on a general AI response, teams can work with information from designated healthcare sources and use the results in their existing research and operational processes.
Privacy, Permissions, and Healthcare Workflows Remain Important
Because ChatGPT medical records can contain highly sensitive information, privacy and access controls are a major part of the new offering. OpenAI says ChatGPT for Healthcare provides enterprise controls, including role-based access, single sign-on, and audit logs. With an applicable Business Associate Agreement, organizations can use ChatGPT Work, Codex, apps, and plugins to support HIPAA-compliant workflows.
Access also depends on the account type and deployment. ChatGPT for Healthcare customers can have administrators enable the EHR integration and Healthcare Public Data plugin, while eligible Enterprise customers can work with OpenAI on the appropriate regulated configuration. The EHR integration is not currently available for individual accounts.
These controls matter because connecting AI with healthcare systems requires more than adding new data sources. Healthcare organizations need to determine who can access information, how it can be used, and how AI-generated work should be reviewed. The new system therefore focuses on keeping connected healthcare information within a controlled environment.
OpenAI Tests ChatGPT Healthcare With Medical Professionals
OpenAI says its healthcare AI development involves hundreds of physicians across 60 countries, 49 languages, and 26 medical specialties. These physicians have reviewed more than 700,000 model responses across healthcare-related examples. For the connected EHR experience specifically, physicians evaluated responses across 27 clinical use cases, including pre-visit reviews, clinical timelines, medication reviews, and handoff summaries.
OpenAI reports that across 4,363 ratings, physicians rated 99.1% of responses as safe across those use cases. In a separate evaluation involving five connected healthcare data sources, more than 93% of responses were rated as having “good” or better accuracy. These figures represent OpenAI’s own evaluations and are intended to measure how the system handles connected healthcare information.
The company is positioning these capabilities as tools that can help healthcare professionals organize and understand information more efficiently. They are not presented as a replacement for doctors or independent clinical decision-makers. Human review remains an important part of using OpenAI healthcare AI in real-world medical settings.
Conclusion
OpenAI’s latest ChatGPT healthcare update moves the platform further toward connected healthcare workflows. By combining EHR integration with official healthcare data sources, ChatGPT for Healthcare can help teams bring patient information, research, and other trusted data together in one governed environment.
The development highlights the growing role of electronic health record AI while emphasizing privacy, permissions, and professional oversight. Rather than replacing healthcare professionals, OpenAI is positioning ChatGPT as a tool that can reduce information-heavy routine work and help teams focus more efficiently on patient care and other healthcare responsibilities.