Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers
Document Type
Article
Publication Date
2-25-2021
Abstract
BackgroundThe Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evaluating whether the system has been effectively utilized is necessary, particularly regarding how it predicts the post-implementation primary care providers' performance impact. MethodsConvenience sampling was employed for data collection in three government hospitals for 7 months. A standardized effectiveness survey for EHR systems was administered to primary health care providers (specialists, medical officers, and nurses) as they participated in medical education programs. Empirical data were assessed by employing partial least squares-structural equation modeling for hypothesis testing.ResultsThe results demonstrated that knowledge quality had the highest score for predicting performance and had a large effect size, whereas system compatibility was the most substantial system quality component. The findings indicated that EHR systems supported the clinical tasks and workflows of care providers, which increased system quality, whereas the increased quality of knowledge improved user performance. ConclusionGiven these findings, knowledge quality and effective use should be incorporated into evaluating EHR system effectiveness in health institutions. Data mining features can be integrated into current systems for efficiently and systematically generating health populations and disease trend analysis, improving clinical knowledge of care providers, and increasing their productivity. The validated survey instrument can be further tested with empirical surveys in other public and private hospitals with different interoperable EHR systems.
Keywords
Evaluation, Knowledge quality, Effective use, Clinician performance, Electronic health records, Total hospital information system, Partial least squares, Clinical practice guidelines, Consolidated framework for implementation research, Information management
Divisions
fac_med
Publication Title
BMC Medical Informatics and Decision Making
Volume
21
Issue
1
Publisher
BioMed Central
Publisher Location
CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND