人类因素在人口健康数字决策支持系统设计中的方法:一个范围审查
Holland M Vasquez1, Emilie Pianarosa2, Renee Sirbu2
1Department of Mechanical and Industrial Engineering, University of Toronto, Toronto, Ontario, Canada.
BMC public health
|September 10, 2024
概括
人类因素 (HF) 方法用于设计数字人口健康决策支持系统 (DSS). 虽然HF在整个设计生命周期中被应用,但用户参与对于最大限度地发挥其在公共卫生方面的潜力至关重要.
科学领域:
- 公共卫生 公共卫生
- 人与计算机的交互
- 医疗信息学 医疗信息学
背景情况:
- 人因子 (HF) 方法是在临床决策支持系统 (DSS) 中建立的.
- 人们对HF在人口健康决策支持方面的应用不太了解.
- 这项研究全面审查了数字人口健康DSS设计中的HF方法.
研究的目的:
- 了解如何利用人类因素方法来设计数字人口健康DSS.
- 识别HF在整个设计生命周期中的应用模式和差距.
主要方法:
- 在健康科学和工程数据库 (1990-2023) 中进行系统的文献搜索.
- 包括153项研究,重点关注HF原则应用于人口健康决策支持工具.
- 在整个设计生命周期中提取和合成HF应用的数据.
主要成果:
- 在人口健康DSS的整个设计生命周期中,应用了HF方法.
- 在早期设计阶段 (需求评估,原型设计) 常见的是定性方法 (例如采访).
- 量化方法在后期阶段 (测试,评估) 更为普遍,实验框架有限 (3项研究).
结论:
- 人类因素已经应用于人口健康DSS设计,但往往没有充分发挥其潜力.
- 在整个设计过程中,早期和持续的用户参与对于有效的HF实现至关重要.
- 结果支持利益相关者通过更好的DSS设计优化公共卫生系统.
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