内容来源：https://www.geekwire.com/2026/amazon-makes-new-bet-on-healthcare-ai-challenging-microsoft-in-the-doctors-office/

内容总结：

亚马逊云科技（AWS）正式进军医疗人工智能领域，于周四推出一款名为“Amazon Connect Health”的智能医疗系统。该系统能够处理患者来电、记录临床诊疗过程并自动生成医疗账单代码，旨在为医疗机构提供覆盖诊疗全流程的端到端解决方案。

作为亚马逊云联络中心系统Amazon Connect的首个行业垂直解决方案，Amazon Connect Health将直接与微软等竞争对手展开角逐。微软于2022年以197亿美元收购语音技术公司Nuance，并将其DAX Copilot临床语音转录工具嵌入主流电子健康记录系统。与此同时，多家AI医疗记录初创企业已获得数亿美元融资，市场竞争日趋激烈。

亚马逊云科技健康AI与生命科学副总裁拉吉夫·乔普拉强调，该系统的核心理念在于“不仅提供单点工具，而是端到端地解决客户的实际问题”。目前，加州大学圣地亚哥健康中心（年处理320万次患者互动）、亚马逊旗下初级医疗诊所One Medical（已实现百万次问诊的智能记录）以及为1300多家社区医疗机构提供软件服务的Netsmart已成为首批试用机构。

该系统具备五大核心功能：自动化患者身份核验、智能预约安排、临床访前摘要生成、实时环境感知式诊疗记录转录以及自动化医疗编码。值得注意的是，该系统已与美国最大的电子健康记录系统Epic完成原生集成，并兼容亚马逊自有的健康数据平台AWS HealthLake。

这项创新也被视为医疗行业AI采纳率的试金石。尽管《新英格兰医学杂志》AI子刊去年12月的研究显示，环境感知式AI记录能使临床医生日均文档处理时间减少30分钟，但医院对数据隐私、现有工作流整合难度及投资回报率仍存顾虑。

该产品由亚马逊云科技应用AI解决方案团队开发，该团队负责人科琳·奥布里曾主导构建亚马逊广告业务。她在去年AWS re:Invent大会上表示，团队正将“智能体AI置于所有工作的核心”，并将其定位为可代表企业自主工作的“AI同事”。医疗健康是首个获得定制化Connect产品的垂直领域，未来还将拓展至更多行业。

目前Amazon Connect Health已开放预览体验。随着智能体技术与云端医疗数据的深度融合，这场医疗数字化转型浪潮正迎来新的入局者。

中文翻译：

亚马逊云科技正将其人工智能业务拓展至医疗健康领域，推出能够处理患者来电、记录临床问诊并自动生成账单代码的智能体系统。周四上午发布的"亚马逊联络中心医疗版"是该云巨头呼叫中心系统首个行业定制化延伸方案，其年化收入已于去年突破10亿美元里程碑。

该系统将与竞争对手微软展开部分业务竞争。微软于2022年以197亿美元收购Nuance公司，并将其DAX Copilot环境感知文档工具嵌入主流电子健康记录系统。与此同时，专注于临床文档自动化的AI医疗记录初创企业已获得数亿美元融资。

亚马逊将这项新服务定位为覆盖医疗全流程的综合性解决方案——从患者首次来电到诊后账单编码全程贯通。亚马逊云科技医疗AI与生命科学副总裁拉吉夫·乔普拉本周接受采访时表示："我们的理念不是提供零散的工具或功能集合，而是端到端地思考客户痛点及解决方案。"

该技术的早期用户包括：年接诊量达320万人次的加州大学圣地亚哥分校医疗系统；亚马逊旗下已完成百万次环境感知文档记录的基础医疗诊所One Medical；以及为1300多家社区医疗机构提供电子健康记录软件的Netsmart公司。

亚马逊此举也可视为医疗行业AI应用的风向标——该领域向来以技术应用保守著称。《新英格兰医学杂志》AI子刊去年12月发布的随机试验显示，环境感知AI文档系统（初创企业Abridge）使临床医生倦怠感降低，日均文档处理时间缩短30分钟。但医院仍普遍担忧数据隐私、现有工作流整合难度及投资回报不明确等问题。

新产品具备五大核心功能：自动化患者身份核验、智能预约排程、临床医生诊前摘要、实时问诊转录与病历草拟的环境感知文档系统，以及自动化医疗账单编码。该系统已与美国最大电子健康记录平台Epic完成原生集成，更多电子健康记录合作伙伴正在接入中。同时可连接亚马逊云医疗数据湖HealthLake，该数据湖新增的智能体功能可将医疗记录转化为标准格式。

该产品由亚马逊云科技应用人工智能解决方案团队研发，该团队由高级副总裁科琳·奥布里领导，专注于为特定行业打造完整应用方案，而非向开发者出售基础云设施工具。曾主导亚马逊广告业务的奥布里在去年12月的re:Invent大会上表示，其团队正将"智能体AI置于所有工作的核心"，并将其描述为能够代表企业自主运作的"AI同事"。

医疗健康是首个获得定制化联络中心产品的垂直领域，奥布里透露更多行业解决方案正在开发中。该团队同时负责亚马逊"即拿即走"零售技术，并正在开发面向供应链规划与生命科学领域的智能体AI工具。亚马逊联络中心医疗版已于周四开放预览体验。

英文来源：

Amazon Web Services is expanding into AI for healthcare, launching a new agentic system that can handle patient calls, document clinical visits and automatically generate billing codes.
Amazon Connect Health, announced Thursday morning, is the first industry-specific extension of the cloud giant’s Amazon Connect system for call centers, which crossed the milestone of a $1 billion annual revenue run rate last year.
It will compete in part with rival Microsoft, which acquired Nuance for $19.7 billion in 2022 and has embedded its DAX Copilot ambient documentation tool into major electronic health record systems. AI scribe startups have raised hundreds of millions of dollars to automate clinical documentation.
Amazon is pitching Amazon Connect Health as a broader solution that spans the full healthcare workflow, from the initial phone call through the post-visit billing code.
The idea is to “not provide just point solutions, point tools, or a collection of capabilities, but think end-to-end about what is the customer problem, and how can we solve it,” said Rajiv Chopra, AWS vice president of Health AI and Life Sciences, in an interview this week.
Early users of the technology include UC San Diego Health, which handles 3.2 million patient interactions annually; One Medical, the Amazon-owned primary care practice that has used the ambient documentation capabilities across a million visits; and Netsmart, which provides EHR software to more than 1,300 community-based healthcare organizations.
Amazon’s move could double as a litmus test for AI adoption in healthcare, where institutions have traditionally been slow to adopt new technology.
A randomized trial published in the New England Journal of Medicine AI in December found that ambient AI documentation (the AI startup Abridge) reduced clinician burnout and cut documentation time by 30 minutes per day per provider. However, hospitals continue to cite concerns about data privacy, the difficulty of integrating AI tools into existing workflows, and unclear return on investment.
Amazon’s new product has five core capabilities: automated patient verification, intelligent appointment scheduling, pre-visit summaries for clinicians, ambient documentation that transcribes and drafts clinical notes during the visit, and automated medical coding for billing.
It integrates natively with Epic, the largest U.S. electronic health records system, with additional EHR partners to follow. It also connects to AWS HealthLake, Amazon’s cloud-based health data repository, which is getting new agentic capabilities to convert records into standard formats.
Amazon Connect Health comes from AWS’s Applied AI Solutions group, led by Senior Vice President Colleen Aubrey, which is focused on building finished applications for specific industries rather than selling raw cloud infrastructure and tools to developers.
Aubrey, who previously built Amazon’s advertising business, said at AWS re:Invent in December that her team is putting “agentic AI at the heart of everything we do,” describing the technology as “AI teammates” that can work autonomously on behalf of businesses.
Healthcare is the first vertical to get a purpose-built Connect product, but Aubrey signaled that more are in the works. Separately, the group oversees Amazon’s Just Walk Out retail technology and is developing agentic AI tools for supply chain planning and life sciences.
Amazon Connect Health is available in preview starting Thursday.