The influence of system quality characteristics on health care providers’ performance: Empirical evidence from Malaysia

Clicks: 580
ID: 53477
2016
Article Quality & Performance Metrics
Overall Quality Improving Quality
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Combines engagement data with AI-assessed academic quality
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Abstract
Summary: Background: The Ministry of Health Malaysia initiated the total hospital information system (THIS) as the first national electronic health record system for use in selected public hospitals across the country. Since its implementation 15 years ago, there has been the critical requirement for a systematic evaluation to assess its effectiveness in coping with the current system, task complexity, and rapid technological changes. The study aims to assess system quality factors to predict the performance of electronic health in a single public hospital in Malaysia. Methods: Non-probability sampling was employed for data collection among selected providers in a single hospital for two months. Data cleaning and bias checking were performed before final analysis in partial least squares-structural equation modeling. Results and conclusions: Convergent and discriminant validity assessments were satisfied the required criterions in the reflective measurement model. The structural model output revealed that the proposed adequate infrastructure, system interoperability, security control, and system compatibility were the significant predictors, where system compatibility became the most critical characteristic to influence an individual health care provider’s performance. The previous DeLone and McLean information system success models should be extended to incorporate these technological factors in the medical system research domain to examine the effectiveness of modern electronic health record systems. In this study, care providers’ performance was expected when the system usage fits with patients’ needs that eventually increased their productivity. Keywords: Electronic health records system, System quality characteristics, Care providers’ performance, Evaluation, Partial least squares-structural equation modeling
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salleh2016thejournal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Salleh, Mohd Idzwan Mohd;Zakaria, Nasriah;Abdullah, Rosni;
Journal journal of infection and public health
Year 2016
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