多语言 AI 记录员如何在医疗服务现场弥合沟通鸿沟
How Multilingual AI Scribes Are Bridging Communication Gaps at the Point of Care
Rakhee Langer，Healow 副总裁
环境式聆听技术如今能够对患者与医疗服务提供者之间的对话进行实时总结，并将其嵌入结构化文档中。
2026 年世界杯刚刚落幕，它跨越了多个国家和文化，为我们提供了一个及时的提醒：我们正生活在一个日益互联的多语言世界中。球迷们自如地在不同语言、文化和表达方式之间切换，创造出一种不依赖于每个人都说同一种语言、而是依赖于每个人都理解当下和比赛的共同体验。
在美国，近 2,600 万人的英语能力有限。
要在不同地域有效服务如此多元的人群，充分利用能够理解多种语言、口音和方言的技术至关重要。
在医疗领域，沟通关乎细微差别——症状如何被描述、不适如何被表达，以及语境如何在对话中发生变化。患者不会以完美分段的单一语言叙述来表达。他们会在不同语言之间切换，寻找最能准确描述自身感受的短语。如果这些细微差别丢失，文档记录会受到影响，临床判断也会受到影响。
多语言AI 记录员以一种微妙但重要的方式改变了这一动态。它们不仅仅是转录，还能跨越语言、方言和口音进行理解，在对话发生的同时捕捉完整语境。临床医生仍然掌控最终记录，可以审阅并批准草拟的笔记，而不会打断就诊的自然流程。
真正产生影响的是诊室
在医疗领域，沟通一直处于核心位置，但并不总是顺畅无碍。在诊室中，语言是建立理解和信任的关键。同样的原则也必须体现在临床文档中。
想象一次这样的就诊：就诊开始时使用英语，但当患者试图更好地描述症状时，自然地转而使用西班牙语。没有停顿，没有额外提示，也没有打断交流流程。AI 记录员继续聆听、理解，并实时生成一份连贯的记录。
发生了什么变化？临床医生能够保持专注，不必在屏幕或工具之间来回切换。患者可以更加自由地表达，不必筛选所使用的语言，互动也变得更加自然。
技术退居幕后，而这正是它应处的位置。
AI 正在重塑医疗基础设施
AI 正在成为医疗服务交付的基础组成部分。传统上，临床文档是对所说内容的记录。如今，它越来越需要确保这些话语背后的含义也被捕捉到。实时总结正在改变医疗服务过程中记录和共享信息的方式。
这一转变十分重要。重要的临床细节往往蕴含在患者描述症状、担忧和经历的方式中。跨语言捕捉这些语境，能够生成更加完整且临床上更加准确的文档。
多语言 AI 记录员并不会取代患者就诊过程中人工口译员的作用；相反，它们会在患者进展记录中实时、默默地聆听、理解并总结整个患者与医疗服务提供者之间的对话。
除了转录之外，当对话涉及多种语言、口音或沟通方式时，AI 记录员还有助于保留原本可能丢失的临床语境。它们直观且不会造成干扰，使医疗服务提供者能够与患者保持自然、专注的互动而不受打断。
其影响超越了文档记录效率：
多语言 AI 记录员的益处医疗服务可及性与公平性：
患者可以使用自己偏好的语言进行更有效的沟通，从而在不同人群和地域中获得更清晰的理解、更强的信任以及更具包容性的医疗服务。
提升患者舒适度与参与度：
当患者不受语言限制时，他们能够更加自然、开放地表达。这将带来更完整的病史、更好的症状描述，以及更具人性化、较少交易感的临床互动。
更好地理解医疗护理计划：
多语言 AI 记录员能够更准确地记录患者所说的内容，有助于确保诊断、治疗计划和出院指导反映患者真实的担忧和语境。
更强的医疗服务连续性：
内容丰富且准确翻译的文档能够在不同医疗服务提供者和医疗服务场景之间传递，减少沟通误差，并有助于确保后续随访、转诊和长期护理管理更加顺畅。
应对潜在挑战
与临床环境中使用的任何技术一样，多语言 AI 记录员必须赢得信任。准确性至关重要，尤其是在记录医学术语、症状和具有文化特征的语言时。各组织还需要围绕隐私、透明度和法规合规制定明确标准。同样重要的是，要确保这些工具能够在不同医疗服务场景中普及，以免文档记录方面的进步无意中扩大现有的医疗服务差距。
每位患者都值得被充分理解
随着医疗服务变得更加多元且相互关联，准确理解不同语言患者的能力将成为提供高质量医疗服务不可或缺的一部分。AI 记录员指向这样一种体系：语言不再是障碍，理解也不再取决于环境、地理位置或可用资源。目标简单而且早已迫切需要实现：从一开始就内置理解能力，让每位患者在每一次互动中都得到理解。
关于 Rakhee Langer Rakhee Langer是healow和Sunoh.ai的副总裁，负责领导 healow 产品套件的业务发展、产品战略、实施和支持。她深度参与公司的战略方向和业务目标。目前，Langer 正在牵头推进 Sunoh.ai，这是一款旨在改变临床文档记录方式并提升患者护理水平的创新型 AI 医疗记录员。
在担任现职之前，Langer 曾领导一支项目经理团队，负责监督 eClinicalWorks EHR/PM 解决方案在大中型医疗机构中的实施。她拥有 University of Texas at Arlington 的生物医学工程硕士学位。
Rakhee Langer, Vice President of Healow
Ambient listening technologies now facilitate real-time summarization of patient-provider conversations layered within structured documentation.
With the 2026 World Cup having just wrapped up after spanning countries and cultures, it offers a timely reminder that we’re living in an increasingly connected, multilingual world. Fans move between languages, cultures, and expressions effortlessly, creating a shared experience that doesn’t rely on everyone speaking the same language, but everyone understanding the moment and the game.
Nearly 26 million people in the U.S. have limited English proficiency.
To effectively serve such a diverse population across different geographies, it is essential to leverage technology that can understand multiple languages, accents, and dialects.
In healthcare, communication is about nuance—how symptoms are described, how discomfort is expressed, and how context shifts within a conversation. Patients don’t speak in perfectly segmented, single-language narratives. They move between languages, reaching for phrases that best capture what they’re experiencing. If the nuance is lost, documentation suffers—and so does clinical judgment.
Multilingual AI scribes change this dynamic in a subtle but important way. They don’t just transcribe. They interpret across languages, dialects, and accents, capturing the full context of the conversation as it happens. Clinicians remain in control of the final record, reviewing and approving draft notes without disrupting the natural flow of the visit.
The Exam Room is Where it Makes the Real Difference
In healthcare, communication has always been central but not always seamless. In the exam room, language is key for building comprehension and trust. The same must also be reflected in clinical documentation.
Imagine a visit that starts in English but naturally shifts into Spanish as a patient tries to better describe their symptoms. There’s no pause, no extra prompt, no disruption of the flow. The AI scribe continues to listen, understand, and generate a cohesive note in real time.
What changes? The clinician stays present, not toggling between screens or tools. The patient speaks more freely, without filtering languages, and the interaction becomes more natural.
Technology fades into the background, which is exactly where it should be.
AI is Reshaping Healthcare Infrastructure
AI is becoming a foundational part of care delivery. Clinical documentation has traditionally been a record of what was said. Increasingly, it is ensuring that the meaning behind those words is captured as well. Real-time summarization changes how care is documented and shared across the care journey.
That shift matters. Important clinical details are often embedded in how patients describe symptoms, concerns, and experiences. Capturing that context across languages produces documentation that is more complete and clinically accurate.
Multilingual AI scribes do not replace the role of human interpreters during a patient encounter; instead, they silently listen, understand, and summarize the entire patient-provider conversation in real-time within a patient’s progress note.
Beyond transcription, AI scribes help preserve clinical context that might otherwise be lost when conversations span multiple languages, accents, or communication styles. They are intuitive and non-intrusive, allowing providers to maintain a natural, focused interaction with patients without disruption.
The impact extends beyond documentation efficiency:
Benefits of Multilingual AI Scribes
Care Access and Equity:
Patients can communicate more effectively in their preferred language, leading to clearer understanding, stronger trust, and more inclusive care across diverse populations and geographies.
Improved Patient Comfort and Engagement:
When patients aren’t constrained by language, they speak more naturally and openly. This leads to more complete histories, better symptom descriptions, and more human, less transactional clinical interactions.
Better Understanding of Care Plans:
Multilingual AI scribes enable more accurate documentation of what patients speak, helping ensure diagnoses, treatment plans, and discharge instructions reflect the patient’s true concerns and context.
Stronger Continuity of Care:
Context-rich, accurately translated documentation travels across providers and care settings, reducing miscommunication and helping ensure smoother follow-ups, referrals, and long-term care management.
Addressing Potential Challenges
Like any technology used in clinical settings, multilingual AI scribes must earn trust. Accuracy is essential, particularly when documenting medical terminology, symptoms, and culturally specific language. Organizations also need clear standards around privacy, transparency, and regulatory compliance. Equally important is ensuring these tools are accessible across care settings so advances in documentation do not inadvertently widen existing gaps in care.
Every Patient Deserves to Be Fully Understood
As healthcare becomes more diverse and interconnected, the ability to accurately understand patients across languages will be an integral part of delivering high-quality care. AI scribes point toward a system where language is no longer a barrier, and where comprehension is not dependent on circumstance, geography, or available resources. The goal is simple and overdue: understanding, built in from the beginning, for every patient, in every interaction.
About Rakhee Langer Rakhee Langer is the Vice President of healow and Sunoh.ai, where she leads business development, product strategy, implementation, and support for healow’s suite of products. She is deeply involved in the strategic direction and business objectives of the company. Currently, Langer is spearheading Sunoh.ai, an innovative AI medical scribe designed to transform clinical documentation and enhance patient care.
Prior to her current role, Langer led a team of project managers overseeing the implementation of eClinicalWorks EHR/PM solutions for large and medium-sized practices. She holds a master’s degree in biomedical engineering from the University of Texas at Arlington.
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