Demand analysis and capacity management for hospital emergencies using advanced forecasting models and stochastic simulation

Oscar Barros, Richard Weber and Carlos Reveco

Operations Research Perspectives, 2021, vol. 8, issue C

Abstract: Demand forecasting and capacity management are complicated tasks for emergency healthcare services due to the uncertainty, complex relationships, and high public exposure involved. Published research does not show integrated solutions to these tasks. Thus, the objective of this paper is to present results from three hospitals that show the feasibility of routinely applying integrated forecasting and capacity management with advanced operations research tools.

Keywords: Health care management; Emergency capacity management; Forecasting models; Process design; Simulation (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:oprepe:v:8:y:2021:i:c:s2214716021000257

DOI: 10.1016/j.orp.2021.100208

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