Healthcare organizations can now connect EHR and

What happened

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.

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. 1% of responses safe across all use cases. 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. 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. Plugins for Microsoft SharePoint, Google Drive, Salesforce, Slack, and other enterprise systems expand the approved business context available in ChatGPT while preserving existing permissions.

Why it matters

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: ChatGPT brings together relevant information from the authorized patient record, summarizes important developments, and points back to supporting chart information. Designed to complement existing EHR workflows, these experiences help clinicians review authorized patient information alongside other trusted sources in ChatGPT.

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. 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.

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.

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.

What to watch

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.

Healthcare organizations can start with the capabilities that fit their needs and expand over time, bringing more of the information central to care and operations into one governed workspace. Ready to get started with ChatGPT for Healthcare?