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Healthcare information management and operational cost performance: empirical evidence

Author

Listed:
  • Amit S. Malhan

    (North Carolina Agricultural and Technical State University)

  • Kiarash Sadeghi-R

    (North Carolina Agricultural and Technical State University)

  • Robert Pavur

    (University of North Texas)

  • Lou Pelton

    (University of North Texas)

Abstract

Healthcare knowledge management systems can mitigate hospitals’ operational inefficiency. As a healthcare information technology, the electronic health record (EHR) receives much attention from medical institutions due to its considerable impact on operational cost performance. This paper focuses on EHR systems to address operational inefficiency by which patients pay more for health care services, and many U.S. hospitals are filing for bankruptcy. From the theoretical perspective of the practice-based view, this paper introduces a path to implement EHR systems for improving cost performance. The empirical investigation is archival data of 200 hospitals collected from the U.S. healthcare agencies. Findings contribute to prior work by hypothesizing moderating and mediating roles in EHR systems implementation. This paper introduces absorptive capacity and monitoring mechanisms as enablers of implementing EHR systems. The results showed that hospital monitoring strengthens the relationship between absorptive capacity and electronic health record systems implementation, which results in better operational cost performance. Theoretically, this study supports the long-term potential benefits of EHR adoption, and its findings are consistent with optimizing efficiency through data standardization and interoperability. From a practical perspective, this study supports hospitals' investments in evolving healthcare information technology systems through the development of a knowledge-based system employing EHR, particularly when hospitals are merging or need a financial strategic plan to control expenses.

Suggested Citation

  • Amit S. Malhan & Kiarash Sadeghi-R & Robert Pavur & Lou Pelton, 2024. "Healthcare information management and operational cost performance: empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(6), pages 963-977, August.
    • Handle: RePEc:spr:eujhec:v:25:y:2024:i:6:d:10.1007_s10198-023-01641-3
    DOI: 10.1007/s10198-023-01641-3
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    References listed on IDEAS

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    1. Cerchione, Roberto & Centobelli, Piera & Riccio, Emanuela & Abbate, Stefano & Oropallo, Eugenio, 2023. "Blockchain’s coming to hospital to digitalize healthcare services: Designing a distributed electronic health record ecosystem," Technovation, Elsevier, vol. 120(C).
    2. Nisha C. Hazra & Caroline Rudisill & Martin C. Gulliford, 2018. "Determinants of health care costs in the senior elderly: age, comorbidity, impairment, or proximity to death?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(6), pages 831-842, July.
    3. Bogaert, Petronille & Verschuuren, Marieke & Van Oyen, Herman & van Oers, Hans, 2021. "Identifying common enablers and barriers in European health information systems," Health Policy, Elsevier, vol. 125(12), pages 1517-1526.
    4. Bag, Surajit & Dhamija, Pavitra & Singh, Rajesh Kumar & Rahman, Muhammad Sabbir & Sreedharan, V. Raja, 2023. "Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study," Journal of Business Research, Elsevier, vol. 154(C).
    5. Rubbio, Iacopo & Bruccoleri, Manfredi, 2023. "Unfolding the relationship between digital health and patient safety: The roles of absorptive capacity and healthcare resilience," Technological Forecasting and Social Change, Elsevier, vol. 195(C).
    6. Hausvik, Geir Inge & Thapa, Devinder & Munkvold, Bjørn Erik, 2021. "Information quality life cycle in secondary use of EHR data," International Journal of Information Management, Elsevier, vol. 56(C).
    7. Stephanie, Lena & Sharma, Ravi S., 2020. "Digital health eco-systems: An epochal review of practice-oriented research," International Journal of Information Management, Elsevier, vol. 53(C).
    8. Hossain, Akram & Quaresma, Rui & Rahman, Habibur, 2019. "Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study," International Journal of Information Management, Elsevier, vol. 44(C), pages 76-87.
    9. Adebanji, Atinuke & Rios Insua, David & Ruggeri, Fabrizio, 2022. "Dynamic linear models for policy monitoring. The case of maternal and neonatal mortality in Ghana," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    10. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    11. Kraus, Sascha & Schiavone, Francesco & Pluzhnikova, Anna & Invernizzi, Anna Chiara, 2021. "Digital transformation in healthcare: Analyzing the current state-of-research," Journal of Business Research, Elsevier, vol. 123(C), pages 557-567.
    12. Zsombor Zrubka & Ottó Hajdu & Fanni Rencz & Petra Baji & László Gulácsi & Márta Péntek, 2019. "Psychometric properties of the Hungarian version of the eHealth Literacy Scale," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(1), pages 57-69, June.
    13. Maestrini, Vieri & Luzzini, Davide & Caniato, Federico & Ronchi, Stefano, 2018. "Effects of monitoring and incentives on supplier performance: An agency theory perspective," International Journal of Production Economics, Elsevier, vol. 203(C), pages 322-332.
    14. Yu-Kai Lin & Mingfeng Lin & Hsinchun Chen, 2019. "Do Electronic Health Records Affect Quality of Care? Evidence from the HITECH Act," Service Science, INFORMS, vol. 30(1), pages 306-318, March.
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