Introducing OpenAI for Healthcare OpenAI voor de zorg

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We’re introducing OpenAI for Healthcare, a set of products designed to help healthcare organizations deliver more consistent, high-quality care for patients—while supporting their HIPAA compliance requirements.

This includes ChatGPT for Healthcare, available starting today and already rolling out to leading institutions like AdventHealth, Baylor Scott & White Health, Boston Children’s Hospital, Cedars-Sinai Medical Center, HCA Healthcare, Memorial Sloan Kettering Cancer Center, Stanford Medicine Children’s Health, and University of California, San Francisco (UCSF).

It also includes the OpenAI API, which powers much of today’s healthcare ecosystem. Thousands of organizations have configured it to support HIPAA-compliant use—such as Abridge, Ambience, and EliseAI.

Healthcare is under unprecedented strain. Demand is rising, clinicians are overwhelmed by administrative work, and critical medical knowledge is fragmented across countless sources. At the same time, AI adoption in healthcare is gaining momentum, driven by its potential to help address these challenges. Advances in models have significantly improved⁠ AI’s ability to support real-world clinical and administrative work, like helping clinicians personalize care using the latest evidence. According to the American Medical Association⁠(opens in a new window), physicians’ use of AI nearly doubled in a year. Yet many clinicians still have to rely on their own tools because their organizations aren’t adopting AI fast enough, often due to the constraints of regulated environments.

OpenAI for Healthcare helps close that gap by giving organizations a secure, enterprise-grade foundation for AI—so teams can use the same tools to deliver better, more reliable care, while supporting HIPAA compliance.

ChatGPT for Healthcare

ChatGPT for Healthcare is built to support the careful, evidence-based reasoning required in real patient care, while reducing administrative burden so teams can spend more time with patients. Organizations can bring clinicians, administrators, and researchers into a secure workspace with the controls they need to deploy AI securely and at scale.

Here’s what it includes:

Here’s what it includes:

* Models built for healthcare workflows: High-quality responses for clinical, research, and operational work—powered by GPT‑5 models built for healthcare and evaluated through physician-led testing across benchmarks and real workflows, including HealthBench⁠ and GDPval⁠.

* Evidence retrieval with transparent citations: Answers grounded in relevant medical sources—drawing from millions of peer-reviewed research studies, public health guidance, and clinical guidelines—with clear citations including titles, journals, and publication dates to support quick source-checking. This helps clinicians reason through cases with greater confidence, so patients get to the right diagnosis and treatment sooner.

* Institutional policy and care pathway alignment: Integrations with enterprise tools such as Microsoft SharePoint and other systems, so responses can incorporate an institution’s approved policies, pathway documents, and operational guidance to support consistent execution across teams and help ensure patients receive high-quality care.

* Reusable templates to automate workflows: Shared templates for common tasks like drafting discharge summaries, patient instructions, clinical letters, and prior authorization support. Clinical teams spend less time rewriting and searching, and patients have clearer next steps and smoother transitions of care.

* Access management and governance: A centralized workspace with role-based access controls and organization-wide user management through SAML SSO and SCIM. This gives healthcare organizations the governance and visibility they need to deploy AI across clinical, administrative, and research teams.

Learn more⁠ about our enterprise-grade security, privacy, and compliance programs.

Supporting clinical and operational workflows:In practice, teams use ChatGPT for Healthcare to synthesize medical evidence alongside institutional guidance and apply it to a patient’s specific context, draft clinical and administrative documentation, and adapt patient-facing education materials for readability and translation. This reduces time spent on admin, helps teams follow shared standards of care, and supports a better patient experience—while clinicians stay in charge.

Clinical search Approved care pathway Referral letter

Reach out to our team⁠ to learn more and get started, or visit the OpenAI Academy⁠(opens in a new window) for examples of how clinicians, researchers, and administrators can use ChatGPT for Healthcare in their daily work.

Early hospital partners

Healthcare is among the fastest-growing enterprise markets⁠ adopting AI, and hospitals and academic medical centers are already rolling out ChatGPT for Healthcare across their teams.

Boston Children’s Hospital Cedars-Sinai Medical Center Stanford Medicine Children’s Health AdventHealth HCA Healthcare Baylor Scott & White Health

> “Our early work with a custom OpenAI-powered solution allowed us to move quickly, prove value in a secure environment, and establish strong governance foundations. ChatGPT for Healthcare offers a path toward operational scale, providing an enterprise-grade platform that can support broad, responsible adoption across clinical, research, and administrative teams.”

John Brownstein, SVP and Chief Innovation Officer, Boston Children’s Hospital

OpenAI API for Healthcare

With the OpenAI API platform, developers can power tools and products with our latest models—including GPT‑5.2—and embed AI directly into healthcare systems and workflows. Eligible customers can apply for a Business Associate Agreement (BAA) with OpenAI to support HIPAA compliance requirements.

In practice, teams are using our APIs to build healthcare applications including patient chart summarization, care team coordination, and discharge workflows. Companies like Abridge, Ambience, and EliseAI are building capabilities like ambient listening, automated clinical documentation, and appointment scheduling for clinicians and patients.

To get started, explore our API platform⁠. If you need a BAA for our API services, learn how to apply⁠(opens in a new window). Enterprise API customers can contact their account team to request access.

AI models optimized for healthcare

All OpenAI for Healthcare products are powered by GPT‑5.2 models, which outperform earlier OpenAI models and were developed through ongoing research and real-world evaluation that reflect how clinicians actually use AI.

Over the past two years, we’ve partnered with⁠ a global network of more than 260 licensed physicians across 60 countries of practice to evaluate model performance using real clinical scenarios. To date, this group has reviewed more than 600,000 model outputs spanning 30 areas of focus. Their continuous feedback has directly informed model training, safety mitigations, and product iteration. ChatGPT for Healthcare went through multiple rounds of physician-led red teaming to tune model behavior, trustworthy information retrieval, and other evaluations.

We also look to evidence from live deployments. A study with Penda Health found that an OpenAI-powered clinical copilot⁠ used in routine primary care reduced both diagnostic and treatment errors—early evidence that AI, when deployed with appropriate safeguards and clinician oversight, can improve care quality.

Benchmarks like HealthBench⁠, an open, clinician-designed evaluation, also reinforce this progress. HealthBench measures model behavior across realistic medical scenarios using rubrics written by physicians. It goes beyond factual recall to assess clinical reasoning, safety, uncertainty handling, and communication quality—dimensions that better reflect how clinicians use AI in practice. Across these evaluations, GPT‑5.2 models consistently outperform prior generations and comparator models on real clinical workflows.

GPT‑5.2 models score higher on a subset of challenging health professional workflows from HealthBench Consensus compared to other models. Scores reflect performance across clinical tasks and should not be interpreted as percentage accuracy.

In real-world healthcare tasks, GPT‑5.2 also performs better than human baselines across every role measured in GDPval⁠, surpassing earlier OpenAI models.

What’s next

This announcement builds on OpenAI’s longstanding work across health, biopharma, and life sciences. That includes products like ChatGPT Health⁠, which helps people better understand and more confidently navigate their health, ongoing research into how AI can accelerate scientific discovery with companies like Retro Biosciences⁠, and work with leading life sciences organizations like Amgen⁠, Thermo Fisher⁠(opens in a new window), Moderna⁠, and others. We also collaborate with leading professional services and consulting firms including Boston Consulting Group (BCG), Bain, McKinsey & Company, and Accenture to help healthcare organizations move faster with AI.

OpenAI's mission is to ensure AI benefits all of humanity, and we believe improving health will be one of the defining impacts of AI. We’ll continue working closely with healthcare organizations using OpenAI for Healthcare to learn from real-world use and further improve our products for healthcare.

To learn more about OpenAI for Healthcare, contact our team⁠.

To learn more about OpenAI for Healthcare, contact our team⁠.

* 2026

* ChatGPT

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OpenAI

OpenAI