Introducing OpenAI for Healthcare: secure AI for consistent, high-quality care
Healthcare teams are stretched. Demand is up, admin work is relentless, and clinical knowledge lives across too many sources. Meanwhile, clinicians are adopting AI on their own, but organizations face regulatory constraints that slow formal deployment.
OpenAI for Healthcare closes that gap with enterprise-grade products that help teams deliver reliable care, reduce paperwork, and support HIPAA compliance. It includes ChatGPT for Healthcare-available now at leading systems-and the OpenAI API used across the healthcare ecosystem.
What's in this release
Two core offerings work together: a secure workspace for clinicians and staff (ChatGPT for Healthcare) and a developer platform (OpenAI API) for integrating AI directly into systems and workflows. Both are built on GPT-5.2 models and evaluated against real clinical scenarios.
ChatGPT for Healthcare: built for clinical reality
- Models fit for care delivery: High-quality responses for clinical, research, and operational tasks-built on GPT-5 models tuned for healthcare and evaluated through physician-led testing across benchmarks and real workflows (including HealthBench and GDPval).
- Evidence retrieval with clear citations: Answers grounded in peer-reviewed research, public health guidance, and clinical guidelines-presented with transparent citations (titles, journals, dates) for quick source checks.
- Alignment with your pathways and policies: Integrations with enterprise tools such as Microsoft SharePoint and internal systems, so responses reflect approved policies, pathway documents, and operational guidance.
- Reusable templates to cut admin work: Shared templates for discharge summaries, patient instructions, clinical letters, and prior authorization support-so teams spend less time rewriting and more time with patients.
- Access management and governance: Centralized workspace with role-based access, SAML SSO, and SCIM for organization-wide user management and oversight.
- Data control and HIPAA support: PHI stays under your organization's control, with options for data residency, audit logs, and customer-managed encryption keys. A Business Associate Agreement (BAA) is available, and content from ChatGPT for Healthcare is not used to train models.
In practice, teams use ChatGPT for Healthcare to synthesize the latest evidence alongside institutional guidance for a specific patient, draft clinical and administrative documentation, and adapt education materials for readability and translation. Clinicians stay in charge-this is a tool for careful, evidence-based reasoning, not a replacement for clinical judgment.
Early hospital partners
- 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
Developers can integrate GPT-5.2 into healthcare products and workflows with the OpenAI API. Eligible customers can apply for a BAA to support HIPAA requirements.
Common applications include patient chart summarization, care team coordination, and discharge workflows. Companies like Abridge, Ambience, and EliseAI are building ambient listening, automated clinical documentation, and appointment scheduling for clinicians and patients.
Models optimized and evaluated for care
All OpenAI for Healthcare products are built on GPT-5.2, developed with ongoing research and real-world evaluation that reflect how clinicians actually work. Over the past two years, more than 260 licensed physicians across 60 countries have reviewed 600,000+ model outputs across 30 areas of focus-informing training, safety mitigations, and product iteration.
ChatGPT for Healthcare underwent multiple rounds of physician-led red teaming and retrieval evaluations. In live use, a study with Penda Health found that a clinical copilot based on OpenAI tech reduced diagnostic and treatment errors-early evidence that, with safeguards and clinician oversight, AI can help improve care quality.
Benchmarks reinforce this progress. HealthBench-an open, clinician-designed evaluation-assesses reasoning, safety, uncertainty handling, and communication quality across realistic medical scenarios. GPT-5.2 scores higher on a subset of challenging health professional workflows from HealthBench Consensus than prior generations and comparator models, and outperforms human baselines across every role measured in GDPval. Scores reflect task performance and should not be read as percentage accuracy.
Security, privacy, and compliance foundations
- BAA available for eligible customers to support HIPAA requirements
- PHI stays within your control; options for data residency and audit logs
- Customer-managed encryption keys
- Organization-wide governance with role-based access, SAML SSO, and SCIM
- Content from ChatGPT for Healthcare is not used to train models
For a refresher on HIPAA Security Rule expectations, see official guidance from HHS here.
How healthcare teams can get started
- Choose high-value workflows: Start with documentation, prior authorization support, patient education, and clinical search aligned to your pathways.
- Set governance early: Define access, logging, and PHI boundaries; enable SSO and SCIM; assign clinical and compliance owners.
- Connect trusted sources: Link policy docs, pathways, and approved references so outputs reflect your standards.
- Pilot, measure, iterate: Run small pilots with clear success metrics (time saved, error rates, patient clarity) and expand with training and feedback loops.
- Upskill your team: Provide practical training on prompt techniques, safety checks, and workflow design. Explore role-based options here.
What's next
This launch builds on broader work across health, biopharma, and life sciences-alongside organizations such as Amgen, Thermo Fisher, and Moderna-and collaborations with consulting firms including BCG, Bain, McKinsey & Company, and Accenture. Expect continued improvements driven by real-world use with healthcare partners.
To learn more about OpenAI for Healthcare or explore examples from clinical, research, and administrative teams, reach out to your account team or visit the OpenAI Academy.
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