{"title":"识别健康信息学中人机交互的影响理论：系统回顾","authors":"Niloofar Mohammadzadeh, Fatemeh Lotfi, Hamed Samadpour","doi":"10.1002/hsr2.71074","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background and Aims</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":36518,"journal":{"name":"Health Science Reports","volume":"8 7","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hsr2.71074","citationCount":"0","resultStr":"{\"title\":\"Identifying Influential Theories in Human–Computer Interaction Within Health Informatics: A Systematic Review\",\"authors\":\"Niloofar Mohammadzadeh, Fatemeh Lotfi, Hamed Samadpour\",\"doi\":\"10.1002/hsr2.71074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Aims</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>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.</p>\\n </section>\\n </div>\",\"PeriodicalId\":36518,\"journal\":{\"name\":\"Health Science Reports\",\"volume\":\"8 7\",\"pages\":\"\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2025-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hsr2.71074\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Health Science Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/hsr2.71074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Health Science Reports","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/hsr2.71074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
摘要
医疗保健领域的数字化转型推动了多种医疗信息系统的采用，包括电子健康记录、移动医疗（mHealth）应用程序和临床决策支持工具。然而，用户和这些系统之间的最佳交互仍然是一个挑战。人机交互（HCI）领域为指导这些技术的设计和评估提供了理论框架，提高了卫生专业人员和患者的可用性和采用。本系统综述旨在识别和综合卫生信息学中最常用的HCI理论，并检查它们在数字卫生技术中的相关性。方法按照PRISMA 2020指南进行系统评价。三个数据库pubmed， Web of Science和谷歌scholar在没有日期限制的情况下进行了搜索。如果研究将明确的HCI理论应用于卫生信息技术背景并以英文发表，则纳入研究。综述性文章、概念性论文和没有明确理论框架的研究被排除在外。最终综合纳入了67项符合条件的研究。结果自2015年以来，HCI理论在卫生信息技术中的应用显著增加，2020年之后出现急剧上升。最常用的框架包括技术接受和使用统一理论（UTAUT）、技术接受模型（TAM）和社会认知理论（SCT）。移动医疗应用程序占理论应用程序的大多数（37%），其次是医院信息系统和基于web的工具。地理分布显示，美国、英国和澳大利亚的理论驱动研究数量最多。结论HCI理论对改善卫生信息系统的设计、可用性和实施至关重要。这篇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，并呼吁在未来基于理论的研究中更广泛的地理和背景多样性。
Identifying Influential Theories in Human–Computer Interaction Within Health Informatics: A Systematic Review
Background and Aims
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.
Methods
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.
Results
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.
Conclusions
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.
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