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Unlocking the Potential: Electronic Health Records in Primary Care and Achieving the Quadruple Aim of Healthcare

Author

Listed:
  • Ferry Fadzlul Rahman

    (Department of Public Health, Universitas Muhammadiyah Kalimantan Timur, Indonesia)

  • Purhadi

    (School of Nursing, Universitas An Nuur, Central Java, Indonesia)

  • Meity Mulya Susanti

    (School of Nursing, Universitas An Nuur, Central Java, Indonesia)

  • Fahni Haris

Abstract

Purpose – The purpose of this study is to analyze the factors influencing Quadruple Aim (QA) of healthcare services in primary care, with a focus on the role of electronic medical records (EMRs). Design/methodology/approach – Quantitative research was employed by a Cross-Sectional approach and utilizing stratified random sampling. Primary data was collected from 10 primary healthcare facilities in Samarinda City. Spearman’s Rank test for bivariate analysis and Multiple Linear Regression was performed for the examined QA. Finding – The bivariate analysis indicated that technology-clinical fit, technology as a control tool, and the duration of EMRs communication had a strong relationship with QA of healthcare services, while interoperability had a very strong relationship with QA of healthcare services. The multivariate analysis revealed that the duration of contact and communication contributed 0.242 times to QA, technology as a control tool contributed 0.129 times to QA, technology-clinical fit contributed 0.142 times to QA, and interoperability contributed 0.521 times to the QA of healthcare services. These findings provide recommendations for enhancing the implementation of EMRs and achieving the QA of healthcare services in primary healthcare. Originality – This study uniquely contributes to decision sciences by empirically quantifying how specific EMRs factors, such as communication duration, technology control, clinical fit, and interoperability, impact the QA. It distinctively highlights interoperability as the key driver for achieving optimal healthcare outcomes in primary care settings.

Suggested Citation

  • Ferry Fadzlul Rahman & Purhadi & Meity Mulya Susanti & Fahni Haris, 2025. "Unlocking the Potential: Electronic Health Records in Primary Care and Achieving the Quadruple Aim of Healthcare," Advances in Decision Sciences, Asia University, Taiwan, vol. 29(2), pages 121-137.
    • Handle: RePEc:aag:wpaper:v:29:y:2025:i:2:p:121-137
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    References listed on IDEAS

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    1. Yushan Cheng & Yongchang Hui & Michael McAleer & Wing-Keung Wong, 2021. "Spurious Relationships for Nearly Non-Stationary Series," JRFM, MDPI, vol. 14(8), pages 1-24, August.
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    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J44 - Labor and Demographic Economics - - Particular Labor Markets - - - Professional Labor Markets and Occupations
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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