ArticleBMC medical informatics and decision making2021
Evaluating the effects of electronic health records system adoption on the performance of Malaysian health care providers.
Article in BMC medical informatics and decision making, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 51 citations in OpenAlex.
- Blockchain-Enabled Electronic Health Record Model for Managing Patients' Vital Data and Medical Reports.Blockchain in healthcare today · 2026Article
- Does the integrated electronic medical record system have a positive adoption in community hospital settings?BMC medical informatics and decision making · 2025Article
- Factors influencing clinician performance post-electronic health record implementation: an empirical analysis in Moroccan hospitals.BMC health services research · 2025Article
- Development and Validation of a Workflow Instrument to Evaluate the Success of Electronic Health Records Implementation from a Nursing Perspective: An Exploratory and Descriptive Study.Global journal on quality and safety in healthcare · 2025Article
- Evaluating the Development, Reliability, and Validation of the Tele-Primary Care Oral Health Clinical Information System Questionnaire: Cross-Sectional Questionnaire Study.JMIR human factors · 2025Article
- Critical Success Factors and Acceptance of the Casemix System Implementation Within the Total Hospital Information System: Exploratory Factor Analysis of a Pilot Study.JMIR formative research · 2024Article
- Development and validation of an instrument to evaluate the perspective of using the electronic health record in a hospital setting.BMC medical informatics and decision making · 2024Article
- Nurses' continuance intention to use electronic health record systems: The antecedent role of personality and organisation support.PloS one · 2024Article
- Digitalisation Medical Records: Improving Efficiency and Reducing Burnout in Healthcare.International journal of environmental research and public health · 2023Article
- Evaluation of the clinical application effect of eSource record tools for clinical research.BMC medical informatics and decision making · 2022Article
- Comparing International Experiences With Electronic Health Records Among Emergency Medicine Physicians in the United States and Norway: Semistructured Interview Study.JMIR human factors · 2022Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.