对话式医疗人工智能：是否已准备好投入实践
Conversational Medical AI: Ready for Practice
AI总结：
本文首次在真实医疗环境中大规模评估医生监督的对话式医疗AI智能体Mo，通过926例随机对照实验证明其能提升患者信息清晰度与满意度且安全性良好，为AI在医疗沟通中的可行部署提供了实证依据。
摘要：
医生短缺正在对医疗专业资源的可及性造成严重挤压。尽管对话式人工智能（AI）在解决这一问题方面具有前景，但其在面向患者的角色中的安全部署在真实医疗环境中仍基本未被探索。我们首次对真实医疗环境中由医生监督的、基于大语言模型（LLM）的对话式智能体进行了大规模评估。\n我们的智能体 Mo 被集成到一个现有的医疗咨询聊天服务中。在三周时间内，我们开展了一项包含 926 个病例的随机对照实验，以评估患者体验和满意度。其中，Mo 处理了 298 次完整的患者交互，我们报告了由医生评估的安全性和医疗准确性指标。\n与标准护理相比，患者报告了更高的信息清晰度（4 分制中 3.73 对 3.62，p < 0.05）和总体满意度（5 分制中 4.58 对 4.42，p < 0.05），同时在信任度和感知共情方面表现出同等水平。高选择参与率（受访者中为 81%）超过了此前医疗保健领域 AI 接受度的基准。医生监督确保了安全性，95% 的对话被具有医疗咨询聊天服务运营经验的全科医生评为“良好”或“优秀”。\n我们的研究结果表明，经过谨慎实施的 AI 医疗助手能够在通过医生监督维持安全标准的同时提升患者体验。这项工作为 AI 在医疗沟通中部署的可行性提供了实证证据，并为成功整合到现有医疗服务中的要求提供了见解。
英文摘要：
The shortage of doctors is creating a critical squeeze in access to medical expertise. While conversational Artificial Intelligence (AI) holds promise in addressing this problem, its safe deployment in patient-facing roles remains largely unexplored in real-world medical settings. We present the first large-scale evaluation of a physician-supervised LLM-based conversational agent in a real-world medical setting. Our agent, Mo, was integrated into an existing medical advice chat service. Over a three-week period, we conducted a randomized controlled experiment with 926 cases to evaluate patient experience and satisfaction. Among these, Mo handled 298 complete patient interactions, for which we report physician-assessed measures of safety and medical accuracy. Patients reported higher clarity of information (3.73 vs 3.62 out of 4, p < 0.05) and overall satisfaction (4.58 vs 4.42 out of 5, p < 0.05) with AI-assisted conversations compared to standard care, while showing equivalent levels of trust and perceived empathy. The high opt-in rate (81% among respondents) exceeded previous benchmarks for AI acceptance in healthcare. Physician oversight ensured safety, with 95% of conversations rated as "good" or "excellent" by general practitioners experienced in operating a medical advice chat service. Our findings demonstrate that carefully implemented AI medical assistants can enhance patient experience while maintaining safety standards through physician supervision. This work provides empirical evidence for the feasibility of AI deployment in healthcare communication and insights into the requirements for successful integration into existing healthcare services.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
