OpenAI for Healthcare

我们推出了 OpenAI for Healthcare ，一套旨在帮助医疗机构为患者提供更一致、更高质量护理的产品，并支持其遵守 HIPAA 要求。

其中包括从今日起可用、并已在 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 和 University of California, San Francisco (UCSF) 等领先机构部署的 ChatGPT for Healthcare 。

同时还包括驱动当前医疗生态系统的 OpenAI API 。数千家机构已将其配置为支持 HIPAA 合规使用，例如 Abridge 、 Ambience 和 EliseAI 。

当前医疗体系面临前所未有的压力：需求上升、临床人员被繁杂的行政工作压得喘不过气来、关键医学知识又分散在无数信息源中。与此同时，医疗领域的 AI 采纳正加速推进，因为其有潜力缓解这些问题。模型的进步显著提升了 AI 在真实临床和行政工作中的支持能力，例如帮助临床人员用最新证据实现个体化诊疗。根据 American Medical Association 的报告，医生使用 AI 的比例在一年内几乎翻番。但由于受监管环境的制约，许多机构未能足够快速地采纳 AI，仍使得不少临床人员依赖自用工具。

OpenAI for Healthcare 旨在弥合这一差距，为机构提供一个安全、企业级的 AI 基础，使团队能用统一工具交付更好、更可靠的护理，同时支持 HIPAA 合规。

ChatGPT for Healthcare

ChatGPT for Healthcare 的设计兼顾真实病患护理所需的严谨循证推理与减轻行政负担，帮助团队将更多时间留给患者。机构可以把临床人员、行政管理者和研究人员拉入一个安全的工作空间，并通过必要的管控来实现大规模、安全部署。

主要功能包括：

• 为医疗工作流优化的模型：针对临床、研究和运营工作提供高质量回答——由为医疗场景打造并经由医生主导测试评估的 GPT‑5 系列模型驱动，测试涵盖 HealthBench 和 GDPval 等基准以及真实工作流。
• 带透明引证的证据检索：回答基于相关医学来源，覆盖数百万篇经同行评审的研究、公共卫生指南和临床指南，并提供清晰引证（包括题目、期刊和发表日期），便于快速查核来源，帮助临床人员更有把握地推理病例，从而更早为患者找到正确诊断与治疗。
• 与机构政策与诊疗路径对齐：可与 Microsoft SharePoint 等企业工具及其他系统集成，使回答纳入机构批准的政策、路径文件和运营指引，支持团队一致执行，帮助保障患者获得高质量护理。
• 可复用模板以自动化流程：为常见任务提供共享模板，如起草出院小结、患者指引、临床函件和预授权支持。临床团队可少一些重复撰写和检索工作，患者的后续步骤更清楚，转诊与衔接也更顺畅。
• 访问管理与治理：集中式工作区，提供基于角色的访问控制和通过 SAML SSO 与 SCIM 的全组织用户管理，赋予医疗机构在临床、行政与研究团队之间部署 AI 所需的治理与可视性。
• 数据控制与支持 HIPAA 合规：患者数据与 PHI 由机构掌控，提供数据驻留、审计日志、客户管理的加密密钥等选项，并可与 OpenAI 签署 Business Associate Agreement (BAA) 以支持 HIPAA 合规使用。与 ChatGPT for Healthcare 共享的内容不会用于训练模型。

欲了解我们的企业级安全、隐私与合规计划，请参阅相关资料。

在临床与运营工作中的应用：实际使用中，团队用 ChatGPT for Healthcare 将医学证据与机构指引综合起来并应用于具体患者情境，起草临床与行政文书，调整面向患者的教育材料以便可读性和翻译。这样可减少行政时间、帮助团队遵循统一的护理标准并提升患者体验——同时临床人员仍保持最终决策权。

早期医院合作伙伴

医疗是增长最快的企业级 AI 市场之一，医院与学术医中心已在其团队中推广 ChatGPT for Healthcare 。

已部署的机构包括： Boston Children’s Hospital 、 Cedars‑Sinai Medical Center 、 Stanford Medicine Children’s Health 、 AdventHealth 、 HCA Healthcare 、 Baylor Scott & White Health 。

“我们与基于 OpenAI 的定制解决方案的早期合作，使我们能够快速行动，在安全环境中证明其价值，并建立起稳固的治理基础。 ChatGPT for Healthcare 为实现运营规模化铺平了道路，提供了一个企业级平台，可以支持临床、研究与行政团队的广泛且负责任的采纳。” Boston Children’s Hospital 的高级副总裁兼首席创新官 John Brownstein 如是说。

OpenAI API for Healthcare

借助 OpenAI API 平台，开发者可以用我们的最新模型（包括 GPT‑5.2 ）为工具与产品赋能，并将 AI 直接嵌入医疗系统与工作流。符合条件的客户可向 OpenAI 申请 Business Associate Agreement (BAA) 以支持 HIPAA 合规要求。

在实践中，团队利用我们的 API 构建了包括病历摘要、护理团队协调和出院流程在内的医疗应用。像 Abridge 、 Ambience 和 EliseAI 等公司正在开发环境监听、自动临床记录和为临床人员及患者安排约诊等功能。

欲开始使用，请参阅我们的 API 平台；需要 API 服务的 BAA 可按指引申请。企业 API 客户也可联系其客户经理请求访问。

为医疗优化的 AI 模型

所有 OpenAI for Healthcare 产品均由 GPT‑5.2 系列模型驱动，这些模型在多项真实临床场景的研究与评估中优于早期版本，并反映了临床人员实际使用 AI 的方式。

过去两年里，我们与一个覆盖 60 个执业国、超过 260 名持牌医生的全球网络合作，通过真实临床场景评估模型表现。该群体迄今已审阅超过 60 万条模型输出，覆盖 30 个重点领域。他们的持续反馈直接用于模型训练、安全缓解和产品迭代。 ChatGPT for Healthcare 也经过多轮由医生主导的红队测试，以调优模型行为、可信信息检索等。

我们同样参考实际部署的证据。一项与 Penda Health 的研究发现，在常规初级保健中使用的基于 OpenAI 的临床辅佐系统能减少诊断与治疗错误——这是早期证据，表明在恰当的防护与临床监督下，AI 可提升护理质量。

像 HealthBench 这样的基准是开放且由临床医生设计的评估，用以衡量模型在现实医疗场景下的表现，评估维度不仅包含事实回忆，还包括临床推理、安全性、不确定性处理和沟通质量等，更贴近临床实际。Across 这些评估中， GPT‑5.2 模型持续优于前代与可比模型。

在 HealthBench 共识中， GPT‑5.2 在一系列具有挑战性的卫生专业工作流子集中得分更高。这些得分反映了临床任务的整体表现，不应被解读为百分比准确率。

在实际医疗任务中， GPT‑5.2 在 GDPval 衡量的各个角色上也均优于人类基线并超越早期 OpenAI 模型。

接下来

此次发布基于 OpenAI 在健康、生物制药与生命科学领域长期的工作，包括面向公众的 ChatGPT Health 产品、与 Retro Biosciences 等公司的科研合作，以及与 Amgen 、 Thermo Fisher 、 Moderna 等领先生命科学机构的项目。我们还与包括 Boston Consulting Group (BCG)、Bain、McKinsey & Company 和 Accenture 在内的专业服务与咨询公司合作，帮助医疗机构更快部署 AI。

OpenAI 的使命是确保 AI 造福全人类，我们认为改善健康将是 AI 的决定性影响之一。我们将继续与使用 OpenAI for Healthcare 的医疗机构紧密合作，从真实使用中学习，不断改进我们的医疗产品。

如欲了解更多 OpenAI for Healthcare 的信息，请联系团队。

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, 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:

• 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.
• Data control and support for HIPAA compliance: Patient data and PHI remain under an organization’s control, with options for data residency, audit logs, customer-managed encryption keys, and a Business Associate Agreement (BAA) with OpenAI to support HIPAA-compliant use. Content shared with ChatGPT for Healthcare is not used to train models. 

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.

Reach out to our team⁠ to learn more and get started, or visit the OpenAI Academy⁠ 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.

“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.”

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. 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.

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, 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.

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