Accepted for/Published in: JMIR Medical Informatics
Date Submitted: Mar 17, 2024
Date Accepted: Aug 20, 2024
Observational Medical Outcomes Partnership Model Implementation evaluation in Electronic Medical Record Systems using FA and DEMATEL-BWM methods
ABSTRACT
Background:
Electronic medical record (EMR) systems are very important as one of the key points in healthcare. These systems help collect and store medical data related to patients and provide information to doctors and caregivers for better decision-making. Despite the importance of EMR, it is necessary to optimize these systems and improve the quality of healthcare. One way that can help improve EMR performance and healthcare quality is to implement the Observational Medical Outcomes Partnership (OMOP) shared data model.
Objective:
This research aims to examine the effects of implementing the OMOP shared data model in EMR systems and improving the quality of healthcare.
Methods:
In this research study, three distinct methodologies are employed to explore various aspects of healthcare information systems. Firstly, the correlation between (EMR) systems and attitudes towards the OMOP is investigated using Factor Analysis (FA). Secondly, the weight of criteria and sub-criteria is determined through the Best Worst Method (BWM). Lastly, Decision making trial and evaluation laboratory (DEMATEL) Technique is applied to illustrate the interactions and interdependencies among the identified criteria.
Results:
Among all components, "EMR resolution" has the highest importance with a weight of 0.31007783, indicating its significance in the evaluation, while "EMR ease of use" has the lowest weight of 0.1860467.
Conclusions:
This show that, in the assessment of EMR, stakeholders attribute the greatest importance to the resolution aspect.
Citation
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Copyright
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