Healthcare organizations can now connect EHR and additional industry data to ChatGPT

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.

Bring ChatGPT and EHR context together

Healthcare organizations can now connect Epic environments to ChatGPT. Instead of searching across appointment notes, laboratory results, medications, and specialist documentation, clinicians can ask:

- What has changed since this patient’s last visit?

- Which recent lab results should I review before today’s appointment?

- Have there been medication changes or new specialist recommendations?

- What follow-ups, referrals, or unresolved issues should I be aware of?

ChatGPT brings together relevant information from the authorized patient record, summarizes important developments, and points back to supporting chart information.

The integration supports two complementary experiences:

- EHR context in ChatGPT: Bring authorized patient information from a supported EHR into ChatGPT to review patient history, identify changes, and prepare for appointments.

- 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.

Designed to complement existing EHR workflows, these experiences help clinicians review authorized patient information alongside other trusted sources in ChatGPT.

Work across nine official healthcare sources with one new plugin

Patient context is one part of the information healthcare teams rely on. They also draw on current research and official information about medications, coverage, clinical trials, and providers.

ChatGPT for Healthcare already helps teams answer clinical questions and synthesize medical research with trusted clinical search across thousands of medical sources. Building on that foundation, the Healthcare Public Data plugin brings together dedicated connectors to nine official public healthcare sources, including ClinicalTrials.gov, CMS Coverage, RxNorm, DailyMed, and PubMed. Teams can work with specific records, fields, identifiers, and versions while focusing the task on these authoritative sources. This makes it easier to compare and verify precise information such as trial eligibility criteria, medication identifiers, coverage policy versions, and provider records without searching each source separately.

A research team could use ClinicalTrials.gov to identify actively recruiting trials and compare eligibility criteria, while a pharmacy team could use DailyMed to confirm the latest label and warnings for a medication. A population health team planning a diabetes-prevention program could bring relevant research, active trials, and Medicare coverage information together in a source-backed view, helping program leaders evaluate options and identify open questions.

Evaluated on real healthcare work

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.

In a separate two-round evaluation, physicians reviewed hundreds of ChatGPT responses to nuanced clinical questions based on large U.S. healthcare datasets. For each of the five connected data sources tested, more than 93% of responses were rated as having “good” or better accuracy.

These evaluations measure how ChatGPT works with healthcare context, from surfacing relevant information to citing supporting evidence and preparing work that clinicians and staff can review. We continue to invest in dedicated training and evaluation for healthcare to further improve ChatGPT’s performance and reliability.

Put healthcare and business information to work

The same governed workspace that helps teams find and understand healthcare information in context can also help them use it across research, operations, business, and technology. Clinical and business teams can use ChatGPT Work to turn information into reports, analyses, presentations, and plans for review. Technical teams can use Codex to build and improve software that supports care delivery and business operations.