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The Joint Use of RFID and EDI: Implications for Hospital Performance

Author

Listed:
  • Randy V. Bradley
  • Terry L. Esper
  • Joonhwan In
  • Kang B. Lee
  • Bogdan C. Bichescu
  • Terry Anthony Byrd

Abstract

Hospitals in the United States (U.S.), and the healthcare industry as a whole, are experiencing major transformations that will likely affect every facet of our society. One such example is a federal regulation known as the Value‐based Purchasing (VBP) program, which shifts hospital reimbursements for services rendered away from a fee‐for‐service model to a value‐based model. This change requires hospitals to more accurately track and document resources/assets utilized in the delivery of care, in addition to appropriate health outcomes. Hence, the focus of this study is on assessing the effect of the joint use of RFID and EDI on hospital performance, namely supply chain cost efficiency, personnel expenses, and hospital readmission rates. The findings, based on secondary, longitudinal data on more than 3300 US hospitals spanning eight years, suggest that hospitals bundling RFID and EDI experience an initial decrease in supply chain cost efficiency and increase in personnel expenses, with no immediate impact on readmission rates. However, over time, better supply chain cost efficiency, lower personnel expenses, and a consistent reduction in readmission rates accrue from the long‐term and consistent leveraging of the RFID‐EDI bundle. Thus, the overarching contribution of this study is the elucidation of how and along what measures the bundled leveraging of RFID and EDI improves hospital performance, as well as which measures of hospital performance are time (in)variant. We round out this study with a discussion of our findings, their implications, and offer directions for future research.

Suggested Citation

  • Randy V. Bradley & Terry L. Esper & Joonhwan In & Kang B. Lee & Bogdan C. Bichescu & Terry Anthony Byrd, 2018. "The Joint Use of RFID and EDI: Implications for Hospital Performance," Production and Operations Management, Production and Operations Management Society, vol. 27(11), pages 2071-2090, November.
  • Handle: RePEc:bla:popmgt:v:27:y:2018:i:11:p:2071-2090
    DOI: 10.1111/poms.12955
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    Citations

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    Cited by:

    1. Beaulieu, Martin & Bentahar, Omar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Maximilian Klöckner & Christoph G. Schmidt & Stephan M. Wagner, 2022. "When Blockchain Creates Shareholder Value: Empirical Evidence from International Firm Announcements," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 46-64, January.
    3. Kumar, Anil & Naz, Farheen & Luthra, Sunil & Vashistha, Rajat & Kumar, Vikas & Garza-Reyes, Jose Arturo & Chhabra, Deepak, 2023. "Digging DEEP: Futuristic building blocks of omni-channel healthcare supply chains resiliency using machine learning approach," Journal of Business Research, Elsevier, vol. 162(C).
    4. Lei Wang & Ram Gopal & Ramesh Shankar & Joseph Pancras, 2022. "Forecasting venue popularity on location‐based services using interpretable machine learning," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2773-2788, July.
    5. Sunil Mithas & Yanzhen Chen & Yatang Lin & Alysson De Oliveira Silveira, 2022. "On the causality and plausibility of treatment effects in operations management research," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4558-4571, December.
    6. Fainman, Emily Zhu & Kucukyazici, Beste, 2020. "Design of financial incentives and payment schemes in healthcare systems: A review," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    7. Tortorella, Guilherme Luz & Fogliatto, Flávio Sanson & Espôsto, Kleber Francisco & Vergara, Alejandro Mac Cawley & Vassolo, Roberto & Mendoza, Diego Tlapa & Narayanamurthy, Gopalakrishnan, 2020. "Effects of contingencies on healthcare 4.0 technologies adoption and barriers in emerging economies," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    8. Martin Beaulieu & Omar Bentahar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Post-Print hal-03208957, HAL.

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