英国临床医生用AI平台快速获取带出处的医学参考信息，提升诊疗效率。
Adoption, usability and perceived clinical value of a UK AI clinical reference platform (iatroX): a mixed-methods formative evaluation of real-world usage and a 1,223-respondent user survey
- 基于RAG技术构建英国本土化临床问答平台，支持多端使用。
- 1223名医生反馈：86%认为有用，93%愿再次使用，88%愿意推荐同事。
- 核心优势是响应快、答案关联指南、符合英国临床实践需求。
临床医生面临生物医学文献和指南信息过载，影响循证医疗实践。检索增强生成（RAG）结合大语言模型可提供快速、带溯源的答案，但需真实世界验证。本文介绍 iatroX——一个以英国为中心的 RAG 临床参考平台，并报告其早期采用情况、可用性及感知临床价值。研究方法包括对网页、iOS 和 Android 端在 16 周内（2025 年 4 月 8 日至 7 月 31 日）使用数据的回顾性分析，以及嵌入式拦截调查。使用数据来自网络与应用分析，已过滤机器人流量。客户端脚本将单题提示随机分配给约 10% 的网页会话，从预设题库中评估实用性、可靠性与使用意愿。比例采用 Wilson 95% 置信区间汇总；自由文本评论进行主题内容分析。iatroX 共吸引 19,269 名独立网页用户，产生 202,660 次互动事件，约 40,000 次临床查询。移动端累计下载达 1,960 次 iOS 安装，安卓日活峰值超 750。调查共收集 1,223 条项目级反馈：感知实用性 86.2%（95% CI 74.8–93.9%；50/58）；愿再次使用 93.3%（95% CI 68.1–99.8%；14/15）；推荐给同事 88.4%（95% CI 75.1–95.9%；38/43）；感知准确性 75.0%（95% CI 58.8–87.3%；30/40）；可靠性 79.4%（95% CI 62.1–91.3%；27/34）。主题分析凸显速度、指南关联性与英国本地化特色。早期真实世界使用表明 iatroX 能缓解信息过载，支持英国临床医生获取及时答案。局限包括单题样本量小及早期采用者偏差；未来工作将开展准确性审计及前瞻性研究，评估其对临床流程与医疗质量的影响。
原文摘要 · Abstract (English)
Clinicians face growing information overload from biomedical literature and guidelines, hindering evidence-based care. Retrieval-augmented generation (RAG) with large language models may provide fast, provenance-linked answers, but requires real-world evaluation. We describe iatroX, a UK-centred RAG-based clinical reference platform, and report early adoption, usability, and perceived clinical value from a formative implementation evaluation. Methods comprised a retrospective analysis of usage across web, iOS, and Android over 16 weeks (8 April-31 July 2025) and an in-product intercept survey. Usage metrics were drawn from web and app analytics with bot filtering. A client-side script randomized single-item prompts to approx. 10% of web sessions from a predefined battery assessing usefulness, reliability, and adoption intent. Proportions were summarized with Wilson 95% confidence intervals; free-text comments underwent thematic content analysis. iatroX reached 19,269 unique web users, 202,660 engagement events, and approx. 40,000 clinical queries. Mobile uptake included 1,960 iOS downloads and Android growth (peak >750 daily active users). The survey yielded 1,223 item-level responses: perceived usefulness 86.2% (95% CI 74.8-93.9%; 50/58); would use again 93.3% (95% CI 68.1-99.8%; 14/15); recommend to a colleague 88.4% (95% CI 75.1-95.9%; 38/43); perceived accuracy 75.0% (95% CI 58.8-87.3%; 30/40); reliability 79.4% (95% CI 62.1-91.3%; 27/34). Themes highlighted speed, guideline-linked answers, and UK specificity. Early real-world use suggests iatroX can mitigate information overload and support timely answers for UK clinicians. Limitations include small per-item samples and early-adopter bias; future work will include accuracy audits and prospective studies on workflow and care quality.
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