Ranking the meso level critical factors of electronic medical records adoption using fuzzy topsis method
As Electronic Medical Records (EMRs) have a great possibility for rising physician’s performance in their daily work whichimproves quality, safety and efficiencyin healthcare, they are implemented throughoutthe world (Boonstra and Broekhuis, 2010). In physician practices the rate of EMRs adoption ha...
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| Main Authors: | , , , , , |
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| Format: | Article |
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2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/41046/ |
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| Summary: | As Electronic Medical Records (EMRs) have a great possibility for rising physician’s performance in their daily work whichimproves quality, safety and efficiencyin healthcare, they are implemented throughoutthe world (Boonstra and Broekhuis, 2010). In physician practices the rate of EMRs adoption has been slow and restricted (around 25%) according to Endsley, Baker, Kershner, and Curtin (2005) in spite of the cost savings through lower administrative costs and medical errors related with EMRs systems.The core objective of this research is to identify, categorize, and analysemesolevel factors introduced by Lau et al, 2012,perceived byphysicians to the adoption of EMRs in order to givemore knowledgein primary care setting.Finding was extracted through questionnaire which distributed to 350physicians in primary caresin Malaysia to assess their perception towards EMRs adoption. The findings showed that Physicians had positive perception towards some features related to technology adoption success and emphasized EMRs hadhelpful impact in their office. The fuzzyTOPSISphysician EMRs adoption model in meso-leveldeveloped and its factors and sub-factors discussed in this study which provide making sense of EMRs adoption. The related factors based on meso-level perspective prioritized and ranked by using the fuzzy TOPSIS. The purpose of ranking using these approaches is to inspect which factors are more imperative in EMRs adoption among primary care physicians. The result of performing fuzzy TOPSIS is as a novelty method to identify the critical factors which assist healthcare organizations to inspire their users in accepting of new technology. |
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