医疗保健的整体人为服务数字化需要综合自动化系统级评估工具
Cindy Welzel1, Fabienne Cotte2, Magdalena Wekenborg1
1Else Kröner Fresenius Center for Digital Health, TUD Dresden University of Technology, Dresden, Germany.
Journal of medical Internet research
|December 20, 2023
概括
提出了一个标准化的评估数字健康工具框架,以确保无集成到临床工作流程中. 这种系统层面的方法优先考虑可用性和工作流的影响,以及算法质量,以实现更安全的医疗保健服务.
科学领域:
- 数字健康数字健康
- 医疗信息学 医疗信息学
- 人类因素工程 人类因素工程
背景情况:
- 数字健康工具和基于人工智能的临床决策支持系统越来越多地融入医疗保健.
- 成功部署取决于功能集成到临床工作流程中,需要互操作性和直观的用户界面设计.
- 目前对数字健康工具的评估方法往往是临时性的和非标准化的,专注于单个产品而不是系统级影响.
研究的目的:
- 提出一个标准框架,用于系统层面的整体评估,互动的数字卫生系统.
- 为了在多种产品中实现系统和标准化的市场后监测和技术评估.
- 为了促进从现实世界使用案例收集系统级数据以提高质量.
主要方法:
- 开发数字卫生系统的标准化评估框架.
- 将框架集成到通过应用程序编程界面访问的系统中.
- 利用人类因素研究和有目的的设计来整合工作流程.
主要成果:
- 拟议的框架允许对数字健康技术进行系统,标准化和系统范围的评估.
- 它有助于收集有关性能和用户体验的真实数据.
- 这种方法解决了当前特设评估方法的局限性.
结论:
- 标准化,系统级评估框架对于数字健康工具的安全和有效整合至关重要.
- 这种可能由监管机构授权的框架可以改善市场后监督和技术评估.
- 优先考虑可用性和工作流集成以及算法质量对于优化数字健康实施至关重要.
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