OpenAI is expanding ChatGPT's healthcare capabilities with new integrations that connect it more directly with clinical workflows and public healthcare sources.
ChatGPT for Healthcare, initially announced in January, as a workspace for researchers, clinicians and administrators, powered by GPT-5 models that went through doctor-led testing. The company developed a suite of tools for healthcare enterprises as it expands its reach to hospitals and health systems. In April, OpenAI launched ChatGPT for Clinicians, a version of ChatGPT designed to support clinical tasks like documentation and medical research.
On Tuesday, OpenAI announced that ChatGPT for Healthcare now integrates with Epic's electronic health record (EHR) to enable authorized clinicians to access and summarize patient information from medical records within ChatGPT or directly in supported Epic workflows. That integration can now pull together clinical notes, lab results, medications and specialist documentation, the company said in a blog post.
The Epic integration supports read-only experiences and doesn’t write information back to the patient record, the company said. The Epic integration supports two workflows: clinicians can pull authorized patient data from the EHR into ChatGPT to review histories, identify key changes and prepare for appointments, or they can access ChatGPT directly within supported EHR workflows, enabling AI-assisted tasks without leaving the patient chart.
San Francisco-based UCSF Health is serving as a pilot partner for the new feature.
“As a pilot partner, we’re exploring how the new EHR integration with ChatGPT for Healthcare can help clinical teams understand what has changed and what matters most across a complex patient record. By bringing relevant information together more quickly and comprehensively, the technology has the potential to reduce time spent synthesizing data and give clinicians more time with patients. We’re also engaging frontline teams to validate these capabilities in practice and help shape where they can add the most value," Suresh Gunasekaran, president and CEO, UCSF Health said in a statement.
OpenAI also added a healthcare public data plugin to connect ChatGPT 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," OpenAI executives said in the blog post.
As examples, OpenAI said 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.
Together, these tools aim to give healthcare organizations a governed, compliant way to combine patient data, medical evidence, public health information, and organizational knowledge in a single AI-powered workspace, OpenAI executives said.
OpenAI also collaborates with a global network of hundreds of physician advisors across 60 countries and 26 medical specialties to train and evaluate its medical intelligence features like ChatGPT Health, executives said. 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, OpenAI said in the blog post.
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, OpenAI said.
ChatGPT for Healthcare combines healthcare-specific capabilities with enterprise controls such as role-based access, single sign-on and audit logs. With an applicable business associate agreement, OpenAI said customers can use ChatGPT Work, Codex, apps and plugins in the same workspace to support HIPAA-compliant workflows.
“At AdventHealth, the value of AI starts with our people. By putting tools like ChatGPT Work, Codex, and connected business data in the hands of our team members, AI can reduce routine work and help practical innovations move more quickly into action. The goal is simple: give caregivers and teams more time for the human connection that enables our connected, whole-person care," Robert Purinton, Chief AI Officer at AdventHealth, said in a statement.