METHODS: A systematic literature review was conducted. The methodical and thorough process of discovering, assessing, and synthesizing relevant studies provided a full review of the available data. Several databases were used for the information search. Most of the articles retrieved from the search came from popular medical research databases, such as Scopus, Taylor & Francis, ScienceDirect, Emerald Insights, PubMed, Springer, IEEE, MDPI, Google Scholar, ProQuest Central, ProQuest Public Health Database, and MEDLINE.
CONCLUSIONS: The results of the systematic literature review indicated that several theoretical frameworks (including the technology acceptance model; the technology, organization, and environment framework; the interactive communication technology adoption model; diffusion of innovation theory; dynamic capabilities theory; and the absorptive capability framework) can be used to analyze and understand technology acceptance in healthcare. It is vital to consider the safety of electronic health records during the use of big data. Furthermore, several elements were found to determine technological acceptance, including environmental, technological, organizational, political, and regulatory factors.
方法:进行了系统的文献综述。有条不紊和彻底的发现过程,评估,综合相关研究,对现有数据进行了全面审查。几个数据库用于信息搜索。从搜索中检索到的大多数文章都来自流行的医学研究数据库,比如Scopus,泰勒和弗朗西斯,ScienceDirect,翡翠见解,PubMed,Springer,IEEE,MDPI,谷歌学者,ProQuestCentral,ProQuest公共卫生数据库,和MEDLINE。
结论:系统文献综述的结果表明,几个理论框架(包括技术接受模型;技术,组织,和环境框架;交互式通信技术采用模型;创新理论的扩散;动态能力理论;和吸收能力框架)可用于分析和理解医疗保健中的技术接受。在使用大数据的过程中,考虑电子健康记录的安全性至关重要。此外,发现了几个因素来确定技术接受度,包括环境,技术,组织,政治,和监管因素。