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Ranking the Meso Level Critical Factors of Electronic Medical Records Adoption Using Fuzzy Topsis Method
H Ahmadi1, M Nilashi1, O Ibrahim1
1Faculty of Computing, Universiti Technologi Malaysia, Johor, Malaysia.
Current Health Sciences Journal
|December 21, 2018
Summary
Physicians perceive Electronic Medical Records (EMRs) positively, recognizing their benefits for healthcare quality and efficiency. This study identifies key factors influencing EMR adoption among primary care physicians.
Area of Science:
- Health Informatics
- Medical Technology Adoption
- Primary Care Research
Background:
- Electronic Medical Records (EMRs) offer significant potential to enhance physician performance, healthcare quality, safety, and efficiency.
- Despite potential cost savings and error reduction, EMR adoption rates in physician practices remain slow, around 25%.
Observation:
- This research investigates meso-level factors influencing EMR adoption from the perspective of physicians in primary care settings.
- A questionnaire distributed to 350 Malaysian primary care physicians assessed their perceptions of EMRs.
Findings:
- Physicians generally hold positive perceptions regarding features that contribute to successful technology adoption.
- EMRs were found to have a beneficial impact on physician office operations.
- A fuzzy TOPSIS model was developed to prioritize and rank critical meso-level factors affecting EMR adoption.
Implications:
- The study provides valuable insights into the factors driving EMR adoption in primary care.
- The developed fuzzy TOPSIS model offers a novel method for identifying critical success factors for technology implementation in healthcare.
- Healthcare organizations can leverage these findings to encourage user acceptance of new technologies like EMRs.
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