卫生信息学中的人类因素和组织问题:对最近的发展和进步的回顾
Andre Kushniruk1, David Kaufman2
1School of Health Information Science, University of Victoria, Victoria, Canada.
Yearbook of medical informatics
|April 8, 2025
概括
医疗信息学中的人类因素研究正在扩大,涵盖人工智能,以患者为中心的设计和系统安全. 多层次的视角对于开发有效的医疗保健技术至关重要.
科学领域:
- 医疗信息学 医疗信息学
- 人类因素工程 人类因素工程
- 医疗保健系统 医疗保健系统
背景情况:
- 在健康信息学中,人为因素和组织考虑的整合至关重要.
- 医疗技术的近期进步需要对人类因素研究进行审查.
研究的目的:
- 审查2022-2023年发表的关于健康信息学中人为因素和组织问题的关键文章.
- 识别新兴趋势和在医疗保健中的人类因素的应用.
主要方法:
- 从2022-2023年开始对文章进行系统的文献审查.
- 在PubMed,科学网和谷歌学者中进行的搜索.
- 专注于主要的人类因素,工程和健康信息学期刊.
主要成果:
- 人为因素应用的快速扩展,包括医疗保健中的AI,以患者为中心的设计,mHealth可用性和系统安全性.
- 研究使用定性和定量方法来满足用户要求,以用户为中心的设计和评估.
- 为患者和医疗保健提供者设计的应用程序.
结论:
- 越来越多的人认识到人类因素的重要性与新的健康技术.
- 对医疗保健的人为因素而言,多层次的视角 (从个人到组织背景) 是必不可少的.
- 这种方法对于设计和评估有用,可用的健康信息技术至关重要.
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