Kushniruk Andre, Kaufman David
School of Health Information Science, University of Victoria, Victoria, Canada.
Health Informatics, School of Health Professions, SUNY Downstate Health Sciences University, Brooklyn, New York.
Yearb Med Inform. 2024 Aug;33(1):196-209. doi: 10.1055/s-0044-1800744. Epub 2025 Apr 8.
In this paper we focus on a review of key articles published in the past two years (2022 and 2023) in the areas of human factors and organizational issues in health informatics.
We reviewed manuscripts that were published in primary human factors, human factors engineering and health informatics journals. This involved conducting a series of searches using PubMed, Web of Science, and Google Scholar for articles related to human factors in healthcare published in 2022 and 2023.
The range of applications that have been designed and analyzed using human factors approaches has been rapidly expanding, including increased number of articles around topics such as the following: AI in healthcare, patient-centered design, usability of mHealth, organizational issues, and work around ensuring system safety. This includes study of applications designed for use by both patients and health providers applying both qualitative and quantitative approaches to user requirements, user-centered system design and human factors analysis and evaluation.
The importance of human factors is becoming recognized as new forms of health technology appear. A multi-level perspective on human factors, that considers human factors at multiple levels, from the individual user to the complex social and organizational context, was described to consider the range and diversity of human factors approaches in healthcare. Such an approach will be needed to drive the design and evaluation of useful and usable healthcare information technologies.
在本文中,我们重点回顾过去两年(2022年和2023年)发表的关于健康信息学中人为因素和组织问题领域的关键文章。
我们回顾了发表在主要人为因素、人因工程和健康信息学期刊上的手稿。这包括使用PubMed、科学网和谷歌学术进行一系列搜索,以查找2022年和2023年发表的与医疗保健中的人为因素相关的文章。
使用人为因素方法设计和分析的应用范围一直在迅速扩大,包括围绕以下主题的文章数量增加:医疗保健中的人工智能、以患者为中心的设计、移动健康的可用性、组织问题以及确保系统安全的工作。这包括对为患者和医疗服务提供者设计的应用程序的研究,采用定性和定量方法来研究用户需求、以用户为中心的系统设计以及人为因素分析与评估。
随着新形式的健康技术出现,人为因素的重要性正逐渐得到认可。描述了一种多层次的人为因素视角,该视角从个体用户到复杂的社会和组织背景等多个层面考虑人为因素,以探讨医疗保健中人为因素方法的范围和多样性。推动有用且可用的医疗信息技术的设计和评估将需要这样一种方法。