This study employed this approach for 2 reasons. The best fit approach is a relatively recent development, adapted from framework analysis, which involves systematically organizing data into an a priori conceptual framework. The systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), whereas the best fit framework synthesis approach, proposed by Booth and Carroll, was adopted. The following research questions (RQs) were proposed in this study:Ī systematic review and framework synthesis were used as the methodological underpinning for our study. The synthesized framework provides policy and decision makers with a more informed understanding of the factors that hinder or facilitate the adoption of health information standards, enabling better judgement and development of suitable strategies for adoption intervention. To achieve this goal and bridge the research divide, a comprehensive framework of factors that influence the adoption of health information standards is synthesized in this paper. Hence, there is a need to synthesize those insights to provide decision makers with a holistic view of the adoption of health information standards. According to the results of these studies, different adoption factors may lead to difficulties for decision makers to explicitly understand, measure, and decrease inhibiting factors or enhance facilitating forces. Prior studies have shown that the adoption of such standards in health care organizations is scarce however, there has been some exploration into the adoption of information standards not just in the health care sector. ĭespite health information standards being seen as fundamental to the development of interoperable solutions, their adoption remains to be frustratingly low among information technology (IT) vendors and health organizations. The use of consensus standards is based on the idea of developing an agreed set of specifications or standards for data exchange that are not dependent on any proprietary software and are universally understood and accepted for data exchange. This can be resolved through the implementation of consensus standards. For this reason, HITs should be adopted in a way that creates interoperability with other health care systems, enabling organizations to realize such benefits. This has resulted in many limitations, resulting in organizations not reaping the adoption benefits that were once promised, in particular, reduction in medical service costs. A plethora of HITs exist across different levels of health care organizations however, underlying infrastructural issues have caused a multitude of integration and management issues. However, health care systems are inherently complex, incorporating numerous interrelated and independent components. During the last 50 years, the health care sector has experienced rapid technological growth, with the investment and adoption of health information technologies (HITs) showing promise to increase patient safety, reduce medical errors, improve efficiency, and reduce overall costs.
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