评估数字分拣症状检查器与历史分拣相关不良事件的评估
Jonathan Ilicki1, Sandra Edman1, Joacim Stalfors1,2
1Platform24 Healthcare AB, Stockholm, Sweden.
Scandinavian journal of primary health care
|September 22, 2025
概括
数字症状检查器在分类之前被误诊的现实病例方面表现出高的准确性和安全性. 这项对在线诊断工具的评估提供了关于其在医疗保健环境中的有效性的关键数据.
科学领域:
- 数字健康数字健康
- 临床决策支持 临床决策支持
- 医疗保健信息学是一种医疗信息学.
背景情况:
- 在线症状检查器越来越多地用于诊断支持和患者分组.
- 关于这些数字工具的实际性能和评估的证据有限.
研究的目的:
- 为了评估数字症状检查器的性能.
- 使用来自现实世界病例的临床细节,先前进行了不正确的分拣.
主要方法:
- 评估了瑞典初级保健中使用的基于规则的,面向患者的数字症状检查器.
- vignettes 是基于错误的电话分类报告的病例.
- 医生模拟患者;分拣结果与瑞典国家分拣指南 (RGS) 对准确性和安全性进行了比较.
主要成果:
- 分析了390个试验,来自69个独特的细节.
- 在选建议中获得了91%的准确性 (95% CI 88-94%).
- 在选建议中证明了94%的安全性 (95%CI 91-96%).
结论:
- 数字症状检查器对已知分类错误的真实世界病例表现出高准确度和安全性.
- 突出了在评估症状检查器时使用小幅图的挑战.
- 首次使用实例患者病例的片段和记录的分拣错误来评估此类系统的研究.
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