患者导航行为在一个基于症状的自助旅行手机应用程序直接向消费者紧急护理:回顾性观察性研究
Tarso Augusto Duenhas Accorsi1, Flavio Tocci Moreira1, Anderson Aires Eduardo2
1Telemedicine Department, Hospital Israelita Albert Einstein, São Paulo, Brazil.
Journal of medical Internet research
|November 4, 2025
概括
用户在远程医疗应用程序中探索多个自我选途径,特别是当被转到急诊室时,表明需要优化这些数字健康工具,以便更好地导航用户和偏好.
科学领域:
- 数字健康数字健康
- 远程医疗远程医疗
- 医疗信息学 医疗信息学
背景情况:
- 在远程医疗期间,移动健康应用程序自我选模块中的患者交互模式尚不清楚.
- 优化虚拟护理途径依赖于理解用户在自行选工具中的导航.
研究的目的:
- 在基于症状的自我排序移动应用程序算法中分析用户导航行为.
- 通过远程医疗评估在远程紧急护理评估期间评估用户互动.
主要方法:
- 对爱因斯坦Conecta远程医疗应用程序的成年用户进行观察性,回顾性研究 (2022年5月 - 2023年12月).
- 分析用户交互,包括访问的分选流,查看的屏幕,屏幕返回和花费的时间.
- 描述性统计方法用于数据分析.
主要成果:
- 超过62,000名用户启动了近20万个自我调整流,其中27.9%的用户访问了四个或更多的流.
- 建议急诊室转诊的用户更有可能启动后续流量.
- 回到以前的屏幕是不常见的 (8%的用户),每个屏幕的平均时间约为9.5秒.
结论:
- 大多数使用者探索了超出初始分拣建议的替代途径,特别是当建议转诊急诊时.
- 用户导航表明需要完善远程医疗自行选机制,以与观察到的行为保持一致.
- 了解这些导航模式对于提高虚拟护理的有效性至关重要.
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