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Comparative Review of Research on Health Information Technology in Biomedical Informatics and Human-Computer Interaction

机译:生物医学信息学与人机交互健康信息技术研究的比较综述

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This paper provides a comparative review of literature in Biomedical Informatics (BI) and Human-Computer Interaction (HCI) communities that conducted human-subject studies of health information technology (HIT) to understand the kinds of knowledge these two fields develop and disseminate. We systematically searched 8 databases to retrieve relevant articles published between 2007 and 2016. Articles involving human-subject studies of HIT were eligible for inclusion. Among 1,355 articles identified by the search strategy, 593 articles were selected for final analysis. Text mining techniques were used to cluster the selected articles into five themes, followed by a thematic analysis of randomly selected 3 articles per cluster through which a hierarchical taxonomy of research areas was created. The results illustrate that BI contributes mainly to generating knowledge associated with the use of HIT in clinical settings, while HCI focuses primarily on the design and evaluation of personal healthcare applications. We believe that better understanding and bringing together the strengths of each field's perspectives would yield results that are more generalizable and have greater potential impact in healthcare research.
机译:本文对生物医学信息学(BI)和人机交互(HCI)社区中的文献进行了比较回顾,这些文献进行了人类健康信息技术(HIT)的主题研究,以了解这两个领域发展和传播的知识种类。我们系统地搜索了8个数据库,以检索2007年至2016年之间发表的相关文章。涉及HIT人体研究的文章符合纳入条件。在搜索策略确定的1,355篇文章中,选择了593篇文章进行最终分析。使用文本挖掘技术将所选文章分为五个主题,然后对每个聚类中随机选择的3篇文章进行主题分析,从而创建研究区域的层次分类法。结果表明,BI主要有助于产生与在临床环境中使用HIT相关的知识,而HCI主要致力于个人医疗保健应用程序的设计和评估。我们相信,更好地理解各个领域的观点并将其融合在一起,将得出更具普遍性的结果,并对医疗保健研究产生更大的潜在影响。

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