Multi-objective admission planning problem: a two-stage stochastic approach

Ana Batista (), Jorge Vera () and David Pozo ()
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Ana Batista: Pontificia Universidad Católica de Chile
Jorge Vera: Pontificia Universidad Católica de Chile
David Pozo: Skolkovo Institute of Science and Technology

Health Care Management Science, 2020, vol. 23, issue 1, No 5, 65 pages

Abstract: Abstract Effective admission planning can improve inpatient throughput and waiting times, resulting in better quality of service. The uncertainty in the patient arrival and the availability of resources makes the patient’s allocation difficult to manage. Thus, in the admission process hospitals aim to accomplish targets of resource utilization and to lower the cost of service. Both objectives are related and in conflict. In this paper, we present a bi-objective stochastic optimization model to study the trade-off between the resource utilization and the cost of service, taking into account demand and capacity uncertainties. Real data from the surgery and medical areas of a Chilean public hospital are used to illustrate the approach. The results show that the solutions of our approach outperform the actual practice in the Chilean hospital.

Keywords: Admission planning; Bi-objective; Stochastic; Uncertainty; Bed capacity planning; Resource allocation (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10729-018-9464-4

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