Dynamic fair balancing of COVID-19 patients over hospitals based on forecasts of bed occupancy

Sander Dijkstra, Stef Baas, Aleida Braaksma and Richard J. Boucherie

Omega, 2023, vol. 116, issue C

Abstract: This paper introduces mathematical models that support dynamic fair balancing of COVID-19 patients over hospitals in a region and across regions. Patient flow is captured in an infinite server queueing network. The dynamic fair balancing model within a region is a load balancing model incorporating a forecast of the bed occupancy, while across regions, it is a stochastic program taking into account scenarios of the future bed surpluses or shortages. Our dynamic fair balancing models yield decision rules for patient allocation to hospitals within the region and reallocation across regions based on safety levels and forecast bed surplus or bed shortage for each hospital or region.

Keywords: COVID-19; Patient allocation; Queueing theory; Load balancing; Stochastic program; Bed occupancy (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.omega.2022.102801

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