Fuzzy Multi-Criteria Approaches for Evaluationg the Critical Factors of Electronic Medical Record Adoption
Abstract
UsingElectronic Medical Records(EMRs) has a great possibility for rising physician’s performance in their daily work whichimproves quality, safety and efficiencyin healthcare that are slowly being adopted throughoutthe world. The adoption of EMRs as a new technology in healthcare system is an important issue which has to be scrutinized as well. In physician practices the rate of EMRs adoption has been slow and restrictedin spite of the cost savings through lower administrative costs and medical errors relatedto EMR systems.Hence, this researchis conducted to identify, categorize, and analyzemeso-level dimensionwhich introduced by Lau et al.(2012),for the adoption of EMRs in the healthcare context.To collect data, a Likert-based and pairwise questionnaires were designed and distributed among the public experts and physicians healthcare organizations. FuzzyTechnique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS)and Fuzzy Analytic Hierarchy Process (F-AHP)was applied involves in quantitative approach in the ranking and weighting of thefactors presented inmeso-level dimension framework. As a result, in this study, we develop a Multi Criteria Decision Making (MCDM) framework for health care industry improvement and adoption of EMR. The purpose of ranking and weighting using theF-TOPSIS and FAHP is to inspect which factors are most imperative in EMRs adoptionamong primary care physicians.Performing F-TOPSIS and F-AHP is as novelty methodsin this study foridentifying the critical factors of EMRs adoption to assist healthcare organizations specifically hospitals setting inpursuing their key users'behaviortowards accepting of this new technology.We find that seven factors, namely time investment, screen/room, hybrid system, planning, resource training, workflow, and weight, are the most influential criteria and strongest drivers in the adoption of EMR in Malaysia’s primary care setting.
Full Text: PDF
Abstract
UsingElectronic Medical Records(EMRs) has a great possibility for rising physician’s performance in their daily work whichimproves quality, safety and efficiencyin healthcare that are slowly being adopted throughoutthe world. The adoption of EMRs as a new technology in healthcare system is an important issue which has to be scrutinized as well. In physician practices the rate of EMRs adoption has been slow and restrictedin spite of the cost savings through lower administrative costs and medical errors relatedto EMR systems.Hence, this researchis conducted to identify, categorize, and analyzemeso-level dimensionwhich introduced by Lau et al.(2012),for the adoption of EMRs in the healthcare context.To collect data, a Likert-based and pairwise questionnaires were designed and distributed among the public experts and physicians healthcare organizations. FuzzyTechnique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS)and Fuzzy Analytic Hierarchy Process (F-AHP)was applied involves in quantitative approach in the ranking and weighting of thefactors presented inmeso-level dimension framework. As a result, in this study, we develop a Multi Criteria Decision Making (MCDM) framework for health care industry improvement and adoption of EMR. The purpose of ranking and weighting using theF-TOPSIS and FAHP is to inspect which factors are most imperative in EMRs adoptionamong primary care physicians.Performing F-TOPSIS and F-AHP is as novelty methodsin this study foridentifying the critical factors of EMRs adoption to assist healthcare organizations specifically hospitals setting inpursuing their key users'behaviortowards accepting of this new technology.We find that seven factors, namely time investment, screen/room, hybrid system, planning, resource training, workflow, and weight, are the most influential criteria and strongest drivers in the adoption of EMR in Malaysia’s primary care setting.
Full Text: PDF
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