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ChatGPT 开放连接电子病历与医疗数据

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OpenAI 宣布 ChatGPT 现在可连接受信任的医疗数据源,包括电子病历(EHR)及其他行业数据,帮助临床医生安全获取患者背景、医学研究等上下文。这是 OpenAI 在医疗数据接入与临床工作流整合上的新动作。

AI推荐理由 ChatGPT 接入医疗数据将推动 AI 在临床工作流中的应用,为医疗 AI 从业者提供了数据集成和合规性方面的参考案例。

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2026年9月1日 产品 医疗机构现可将EHR及其他行业数据连接至ChatGPT 新的Epic集成和医疗公共数据插件帮助团队在ChatGPT for Healthcare中审阅经授权的患者上下文,并处理来自官方来源的结构化信息。 了解更多关于ChatGPT for Healthcare的信息 加载中… 分享 医疗机构需要能够跨系统和信息工作的AI,这些系统和信息对护理和运营至关重要。患者上下文、医学证据、公共医疗数据和组织知识通常存储在不同的地方。在受治理的工作区中连接这些来源,有助于团队找到正确的信息、在上下文中理解信息,并将其应用于业务中。 今天,我们推出了一种新的电子健康记录集成,可将来自Epic的经授权患者上下文引入ChatGPT for Healthcare,同时推出医疗公共数据插件,用于直接、结构化地访问官方医疗数据集,如PubMed、DailyMed和CMS Coverage。这些功能共同使ChatGPT更接近医疗团队信任的系统和来源,同时支持医疗工作所需的控制和合规性。 将ChatGPT和EHR上下文结合 医疗机构现在可以将Epic环境连接到ChatGPT。临床医生无需在预约记录、实验室结果、药物和专科文档中搜索,即可提问: 自该患者上次就诊以来有哪些变化? 在今天的预约之前,我应该查看哪些最近的实验室结果? 是否有药物变更或新的专科建议? 我应该了解哪些随访、转诊或未解决的问题? ChatGPT汇集了来自经授权患者记录的相关信息,总结重要进展,并指向支持性的图表信息。 该集成支持两种互补的体验: ChatGPT中的EHR上下文:将来自受支持EHR的经授权患者信息引入ChatGPT,以查看患者病史、识别变化并为预约做准备。 EHR工作流程中的ChatGPT:在受支持的部署中,ChatGPT可直接集成到EHR布局中,无需离开患者图表即可实现AI辅助工作流程。 “作为试点合作伙伴,我们正在探索新的EHR集成与ChatGPT for Healthcare如何帮助临床团队理解复杂患者记录中的变化和最重要的事项。通过更快速、更全面地汇集相关信息,该技术有潜力减少综合数据所花费的时间,让临床医生有更多时间与患者相处。我们还在让一线团队参与,以在实践中验证这些能力,并帮助确定它们能增加最大价值的领域。”——Suresh Gunasekaran,UCSF Health总裁兼首席执行官 这些体验旨在补充现有的EHR工作流程,帮助临床医生在ChatGPT中与其他可信来源一起审阅经授权的患者信息。 通过一个新插件处理九个官方医疗来源 患者上下文是医疗团队依赖的信息的一部分。他们还依赖当前研究以及关于药物、保险覆盖、临床试验和提供者的官方信息。 ChatGPT for Healthcare已经通过可信的临床搜索(覆盖数千个医学来源)帮助团队回答临床问题并综合医学研究。在此基础上,医疗公共数据插件汇集了九个官方公共医疗来源的专用连接器,包括ClinicalTrials.gov、CMS Coverage、RxNorm、DailyMed和PubMed。团队可以处理特定的记录、字段、标识符和版本,同时将任务聚焦于这些权威来源。这使得比较和验证精确信息(如试验资格标准、药物标识符、保险政策版本和提供者记录)变得更加容易,而无需单独搜索每个来源。 研究团队可以使用ClinicalTrials.gov识别正在招募的试验并比较资格标准,而药房团队可以使用DailyMed确认药物的最新标签和警告。规划糖尿病预防项目的人口健康团队可以将相关研究、活跃试验和Medicare覆盖信息汇集在一个来源支持的视图中,帮助项目负责人评估选项并确定未解决的问题。 基于真实医疗工作的评估 将连接的医疗上下文付诸实践取决于能够准确解释它的模型。OpenAI与60个国家、49种语言和26个医学专科的数百名医生合作,帮助我们定义、衡量和改进ChatGPT中的健康响应。迄今为止,这些医生已经审查了超过70万个模型响应,这些响应反映了现实世界的医疗问题。他们的反馈改善了模型行为,并加强了针对医疗的专用工具。 为了了解ChatGPT在处理连接的EHR上下文时的表现,医生评估了27个临床用例中的响应,包括就诊前审查、临床时间线、药物审查和交接总结。在4,363个评分中,医生将99.1%的响应评为在所有用例中安全。 在另一项两轮评估中,医生审查了数百个ChatGPT对基于美国大型医疗数据集的细微临床问题的响应。对于测试的五个连接数据源中的每一个,超过93%的响应被评为“良好”或更高准确性。 这些评估衡量了ChatGPT如何处理医疗上下文,从呈现相关信息到引用支持证据,再到准备临床医生和工作人员可以审查的工作。我们继续投资于针对医疗的专门培训和评估,以进一步提高ChatGPT的性能和可靠性。 将医疗和业务信息付诸实践 同一个受治理的 工作区帮助团队在上下文中查找和理解医疗信息,也可以帮助他们在研究、运营、业务和技术中使用这些信息。临床和业务团队可以使用ChatGPT Work将信息转化为报告、分析、演示文稿和计划以供审查。技术团队可以使用Codex构建和改进支持护理交付和业务运营的软件。 用于Microsoft SharePoint、Google Drive、Salesforce、Slack和其他企业系统的插件扩展了ChatGPT中可用的经批准业务上下文,同时保留现有权限。 “在AdventHealth,AI的价值始于我们的员工。通过将ChatGPT Work、Codex和连接的业务数据等工具交到团队成员手中,AI可以减少日常工作量,并帮助实用创新更快地付诸行动。目标很简单:让护理人员和团队有更多时间进行人际联系,从而实现我们连接的、全人的护理。”——Robert Purinton,AdventHealth首席AI官 开始使用ChatGPT for Healthcare ChatGPT for Healthcare为临床、研究和行政团队提供了一个使用AI的受治理工作区。它结合了针对医疗的专用功能和企业控制,如基于角色的访问、单点登录和审计日志。在适用的业务伙伴协议下,客户可以在同一工作区中使用ChatGPT Work、Codex、应用程序和插件,以支持符合HIPAA的工作流程。 ChatGPT for Healthcare客户:请您的管理员启用EHR集成和医疗公共数据插件。 ChatGPT Enterprise客户:联系您的OpenAI客户团队,确认资格以及您的受监管工作区的正确配置。 个人临床医生:符合条件的美国ChatGPT for Clinicians用户可安装医疗公共数据插件。EHR集成不适用于个人账户。 医疗机构可以从适合其需求的功能开始,并随着时间的推移进行扩展,将更多对护理和运营至关重要的信息汇集到一个受治理的工作区中。 准备好开始使用ChatGPT for Healthcare了吗?联系我们的销售团队,为您的组织找到合适的解决方案。 ChatGPT 2026 作者 OpenAI 继续阅读 查看全部 GPT-6 Astra:新一代智能 研究2026年9月3日 扩大AI访问范围的里程碑 产品2026年8月31日 将ChatGPT for Teachers带给更多美国学区 产品2026年8月26日
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September 1, 2026 Product Healthcare organizations can now connect EHR and additional industry data to ChatGPT A new Epic integration and Healthcare Public Data plugin help teams review authorized patient context and work with structured information from official sources in ChatGPT for Healthcare. Learn more about ChatGPT for Healthcare Loading… Share 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. 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. Bring ChatGPT and EHR context together Healthcare organizations can now connect Epic environments to ChatGPT. Instead of searching across appointment notes, laboratory results, medications, and specialist documentation, clinicians can ask: What has changed since this patient’s last visit? Which recent lab results should I review before today’s appointment? Have there been medication changes or new specialist recommendations? What follow-ups, referrals, or unresolved issues should I be aware of? ChatGPT brings together relevant information from the authorized patient record, summarizes important developments, and points back to supporting chart information. The integration supports two complementary experiences: EHR context in ChatGPT: Bring authorized patient information from a supported EHR into ChatGPT to review patient history, identify changes, and prepare for appointments. ChatGPT in the EHR workflow: In supported deployments, ChatGPT can be integrated directly into an EHR layout, enabling AI assisted workflows without leaving the patient chart. “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 Designed to complement existing EHR workflows, these experiences help clinicians review authorized patient information alongside other trusted sources in ChatGPT. Work across nine official healthcare sources with one new plugin 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. Building on that foundation, the Healthcare Public Data plugin brings together dedicated connectors 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. 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. 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. Evaluated on real healthcare work 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. 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. 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. Put healthcare and business information to work 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. “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 Get started with ChatGPT for Healthcare 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. ChatGPT for Healthcare customers: Ask your workspace administrator to enable the EHR integration and Healthcare Public Data plugin. ChatGPT Enterprise customers: Contact your OpenAI account team to confirm eligibility and the right configuration for your Regulated Workspace. Individual clinicians: Eligible U.S. ChatGPT for Clinicians users can install the Healthcare Public Data plugin. The EHR integration is not available for individual accounts. 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? Contact our sales team⁠ to find the right solution for your organization. ChatGPT 2026 Author OpenAI Keep reading View all GPT-6 Astra: A new generation of intelligence ResearchSep 3, 2026 A milestone in expanding access to AI ProductAug 31, 2026 Bringing ChatGPT for Teachers to more U.S. school districts ProductAug 26, 2026

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OpenAI News ChatGPT 开放连接电子病历与医疗数据 09-01 · 原文发布
historical-digest ChatGPT 开放连接电子病历与医疗数据 09-01 · 原文发布
aihot::OpenAI ChatGPT 开放连接电子病历与医疗数据 09-01 · 原文发布
rss:OpenAI Blog ChatGPT 开放连接电子病历与医疗数据 09-01 · 原文发布
rss::OpenAI Blog ChatGPT 开放连接电子病历与医疗数据 09-01 · 原文发布
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