Mohammadzadeh Niloofar, Lotfi Fatemeh, Samadpour Hamed
Department of Health Information Management, School of Allied Medical Sciences Tehran University of Medical Sciences Tehran Iran.
Health Sci Rep. 2025 Jul 21;8(7):e71074. doi: 10.1002/hsr2.71074. eCollection 2025 Jul.
Digital transformation in healthcare has driven the adoption of diverse health information systems, including electronic health records, mobile health (mHealth) applications, and clinical decision support tools. However, optimal interaction between users and these systems remains a challenge. The field of Human-Computer Interaction (HCI) offers theoretical frameworks to guide the design and evaluation of these technologies, enhancing usability and adoption by health professionals and patients. This systematic review aims to identify and synthesize the most frequently applied HCI theories in health informatics and examine their relevance across digital health technologies.
A systematic review was conducted following PRISMA 2020 guidelines. Three databases-PubMed, Web of Science, and Google Scholar-were searched with no date restriction. Studies were included if they applied a defined HCI theory to the context of health information technologies and were published in English. Review articles, conceptual papers, and studies without a clear theoretical framework were excluded. A total of 67 eligible studies were included in the final synthesis.
The use of HCI theories in health information technology has increased notably since 2015, with a sharp rise observed after 2020. The most frequently used frameworks included the Unified Theory of Acceptance and Use of Technology (UTAUT), Technology Acceptance Model (TAM), and Social Cognitive Theory (SCT). mHealth applications accounted for most theory applications (37%), followed by hospital information systems and web-based tools. The geographic distribution revealed that the United States, the United Kingdom, and Australia produced the highest number of theory-driven studies.
HCI theories are vital in improving the design, usability, and implementation of health information systems. This review underscores the importance of integrating user-centered theoretical frameworks in system development and calls for broader geographic and contextual diversity in future theory-based research.
医疗保健领域的数字化转型推动了多种健康信息系统的采用，包括电子健康记录、移动健康（mHealth）应用程序和临床决策支持工具。然而，用户与这些系统之间的最佳交互仍然是一项挑战。人机交互（HCI）领域提供了理论框架，以指导这些技术的设计和评估，提高健康专业人员和患者的可用性及采用率。本系统评价旨在识别和综合健康信息学中最常应用的HCI理论，并检验它们在数字健康技术中的相关性。
按照PRISMA 2020指南进行系统评价。检索了三个数据库——PubMed、科学网和谷歌学术，无日期限制。如果研究将明确的HCI理论应用于健康信息技术背景且以英文发表，则纳入研究。综述文章、概念性论文以及没有明确理论框架的研究被排除。最终综合分析纳入了67项符合条件的研究。
自2015年以来，HCI理论在健康信息技术中的应用显著增加，2020年后出现急剧上升。最常用的框架包括技术接受与使用统一理论（UTAUT）、技术接受模型（TAM）和社会认知理论（SCT）。移动健康应用程序占理论应用的大多数（37%），其次是医院信息系统和基于网络的工具。地理分布显示，美国、英国和澳大利亚产生的理论驱动研究数量最多。
HCI理论对于改善健康信息系统的设计、可用性和实施至关重要。本综述强调了在系统开发中整合以用户为中心的理论框架的重要性，并呼吁未来基于理论的研究具有更广泛的地理和背景多样性。
