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A model of workflow in the hospital during a pandemic to assist management

Author

Listed:
  • Marc Garbey
  • Guillaume Joerger
  • Shannon Furr
  • Vid Fikfak

Abstract

We present a computational model of workflow in the hospital during a pandemic. The objective is to assist management in anticipating the load of each care unit, such as the ICU, or ordering supplies, such as personal protective equipment, but also to retrieve key parameters that measure the performance of the health system facing a new crisis. The model was fitted with good accuracy to France’s data set that gives information on hospitalized patients and is provided online by the French government. The goal of this work is both practical in offering hospital management a tool to deal with the present crisis of COVID-19 and offering a conceptual illustration of the benefit of computational science during a pandemic.

Suggested Citation

  • Marc Garbey & Guillaume Joerger & Shannon Furr & Vid Fikfak, 2020. "A model of workflow in the hospital during a pandemic to assist management," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-18, November.
    • Handle: RePEc:plo:pone00:0242183
    DOI: 10.1371/journal.pone.0242183
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    References listed on IDEAS

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    1. Benjamin U. Friedrich & Martin B. Hackmann, 2017. "The Returns to Nursing: Evidence from a Parental Leave Program," NBER Working Papers 23174, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Masłowski Dariusz & Kulińska Ewa & Salwin Mariusz & Pawlas Karolina & Kulińska-Jachowska Karolina, 2022. "Impact of policy regulations on the functioning of hospitals in Poland during the COVID-19 pandemic: a qualitative analysis," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(2), pages 192-217, June.
    2. Marc Garbey & Guillaume Joerger & Shannon Furr, 2020. "Gastroenterology Procedures Generate Aerosols: An Air Quality Turnover Solution to Mitigate COVID-19’s Propagation Risk," IJERPH, MDPI, vol. 17(23), pages 1-17, November.

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