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

Author

Listed:
  • Ana Batista

    (Pontificia Universidad Católica de Chile
    Skolkovo Institute of Science and Technology)

  • Jorge Vera

    (Pontificia Universidad Católica de Chile
    Pontificia Universidad Católica de Chile)

  • David Pozo

    (Skolkovo Institute of Science and Technology)

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.

Suggested Citation

  • Ana Batista & Jorge Vera & David Pozo, 2020. "Multi-objective admission planning problem: a two-stage stochastic approach," Health Care Management Science, Springer, vol. 23(1), pages 51-65, March.
    • Handle: RePEc:kap:hcarem:v:23:y:2020:i:1:d:10.1007_s10729-018-9464-4
    DOI: 10.1007/s10729-018-9464-4
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