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Healthcare Supply Chain Reliability: The Case of Medical Air Transport

Author

Listed:
  • Beata Skowron-Grabowska

    (Faculty of Management, Czestochowa University of Technology, 42-200 Czestochowa, Poland)

  • Marta Wincewicz-Bosy

    (Faculty of Management, General Tadeusz Kosciuszko Military University of Land Forces, ul. P. Czajkowskiego 109, 51-147 Wrocław, Poland)

  • Małgorzata Dymyt

    (Faculty of Management, General Tadeusz Kosciuszko Military University of Land Forces, ul. P. Czajkowskiego 109, 51-147 Wrocław, Poland)

  • Adam Sadowski

    (Institute of Logistics and Informatics, The University of Lodz, 90-214 Lodz, Poland)

  • Tomasz Dymyt

    (T. Marciniak Lower Silesian Specialist Hospital—Emergency Medicine Centre, ul. Gen. A. E. Fieldorfa 2, 54-049 Wrocław, Poland)

  • Katarzyna Wąsowska

    (Institute of Management and Quality Service, Siedlce University of Natural Sciences and Humanities, ul. Konarskiego 2, 08-110 Siedlce, Poland)

Abstract

The principal task of national healthcare systems is to provide health services that are safe, accessible, high-quality and people-oriented. To ensure the continuity of healthcare, support activities related to patient transfer and logistics are necessary. Effective implementation of transport processes is a factor affecting the possibility of medical intervention, in terms of both planned and life-saving care. The reliability of the healthcare supply chain is a key factor in patient health. In our research, we have used the method of a single case study of a public regional hospital in Poland providing comprehensive medical services. The aim of the research is to identify the factors that affect the reliability of the healthcare supply chain in relation to the interhospital air transport of patients. Our qualitative research using process mapping reveals what factors affect the reliability of interhospital medical air transport. The analysis of 100 interhospital medical air transport cases has allowed us to create a general procedure related to the movement of patients between the facilities of the healthcare system in Poland. Our research shows that the key factor of reliability is the coherent and integrated cooperation of institutions involved in transport processes.

Suggested Citation

  • Beata Skowron-Grabowska & Marta Wincewicz-Bosy & Małgorzata Dymyt & Adam Sadowski & Tomasz Dymyt & Katarzyna Wąsowska, 2022. "Healthcare Supply Chain Reliability: The Case of Medical Air Transport," IJERPH, MDPI, vol. 19(7), pages 1-18, April.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:7:p:4336-:d:786898
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    References listed on IDEAS

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    1. David Dobrzykowski, 2019. "Understanding the Downstream Healthcare Supply Chain: Unpacking Regulatory and Industry Characteristics," Journal of Supply Chain Management, Institute for Supply Management, vol. 55(2), pages 26-46, April.
    2. Munyaradzi Bvuchete & Sara Saartjie Grobbelaar & Joubert van Eeden, 2021. "A Network Maturity Mapping Tool for Demand-Driven Supply Chain Management: A Case for the Public Healthcare Sector," Sustainability, MDPI, vol. 13(21), pages 1-29, October.
    3. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    4. Paolo Taticchi & Flavio Tonelli & Roberto Pasqualino, 2013. "Performance measurement of sustainable supply chains," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 62(8), pages 782-804, October.
    5. Govindan, Kannan & Mina, Hassan & Alavi, Behrouz, 2020. "A decision support system for demand management in healthcare supply chains considering the epidemic outbreaks: A case study of coronavirus disease 2019 (COVID-19)," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    6. Ewa Rzońca & Agnieszka Bień & Grażyna Bączek & Patryk Rzońca & Michał Filip & Robert Gałązkowski, 2021. "Suspected Miscarriage in the Experience of Emergency Medical Services Teams—Preliminary Study," IJERPH, MDPI, vol. 18(23), pages 1-10, November.
    7. Akmal, Adeel & Greatbanks, Richard & Foote, Jeff, 2020. "Lean thinking in healthcare – Findings from a systematic literature network and bibliometric analysis," Health Policy, Elsevier, vol. 124(6), pages 615-627.
    8. B. S. S. Onggo & N. C. Proudlove & S. A. D’Ambrogio & A. Calabrese & Stefania Bisogno & N. Levialdi Ghiron, 2018. "A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(5), pages 788-802, May.
    9. Warburton, Roger D. H., 2004. "An exact analytical solution to the production inventory control problem," International Journal of Production Economics, Elsevier, vol. 92(1), pages 81-96, November.
    10. Lucian-Ionel Cioca & Larisa Ivascu, 2017. "Risk Indicators and Road Accident Analysis for the Period 2012–2016," Sustainability, MDPI, vol. 9(9), pages 1-15, August.
    11. Nebil Buyurgan & Paiman Farrokhvar, 2015. "Supply Chain-Related Adverse Events and Patient Safety in Healthcare," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 10(2), pages 14-33, April.
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    2. Sebastjan Lazar & Vojko Potočan & Dorota Klimecka-Tatar & Matevz Obrecht, 2022. "Boosting Sustainable Operations with Sustainable Supply Chain Modeling: A Case of Organizational Culture and Normative Commitment," IJERPH, MDPI, vol. 19(17), pages 1-23, September.

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