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Tactical resource allocation and elective patient admission planning in care processes

Author

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  • Peter Hulshof
  • Richard Boucherie
  • Erwin Hans
  • Johann Hurink

Abstract

Tactical planning of resources in hospitals concerns elective patient admission planning and the intermediate term allocation of resource capacities. Its main objectives are to achieve equitable access for patients, to meet production targets/to serve the strategically agreed number of patients, and to use resources efficiently. This paper proposes a method to develop a tactical resource allocation and elective patient admission plan. These tactical plans allocate available resources to various care processes and determine the selection of patients to be served that are at a particular stage of their care process. Our method is developed in a Mixed Integer Linear Programming (MILP) framework and copes with multiple resources, multiple time periods and multiple patient groups with various uncertain treatment paths through the hospital, thereby integrating decision making for a chain of hospital resources. Computational results indicate that our method leads to a more equitable distribution of resources and provides control of patient access times, the number of patients served and the fraction of allocated resource capacity. Our approach is generic, as the base MILP and the solution approach allow for including various extensions to both the objective criteria and the constraints. Consequently, the proposed method is applicable in various settings of tactical hospital management. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • Peter Hulshof & Richard Boucherie & Erwin Hans & Johann Hurink, 2013. "Tactical resource allocation and elective patient admission planning in care processes," Health Care Management Science, Springer, vol. 16(2), pages 152-166, June.
  • Handle: RePEc:kap:hcarem:v:16:y:2013:i:2:p:152-166
    DOI: 10.1007/s10729-012-9219-6
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    3. Michael Samudra & Carla Van Riet & Erik Demeulemeester & Brecht Cardoen & Nancy Vansteenkiste & Frank E. Rademakers, 2016. "Scheduling operating rooms: achievements, challenges and pitfalls," Journal of Scheduling, Springer, vol. 19(5), pages 493-525, October.
    4. Peter J. H. Hulshof & Martijn R. K. Mes & Richard J. Boucherie & Erwin W. Hans, 2016. "Patient admission planning using Approximate Dynamic Programming," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 30-61, June.
    5. Nazanin Aslani & Onur Kuzgunkaya & Navneet Vidyarthi & Daria Terekhov, 2021. "A robust optimization model for tactical capacity planning in an outpatient setting," Health Care Management Science, Springer, vol. 24(1), pages 26-40, March.
    6. Marynissen, Joren & Demeulemeester, Erik, 2019. "Literature review on multi-appointment scheduling problems in hospitals," European Journal of Operational Research, Elsevier, vol. 272(2), pages 407-419.
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    8. Vahab Vahdat & Jacqueline Griffin & James E. Stahl, 2018. "Decreasing patient length of stay via new flexible exam room allocation policies in ambulatory care clinics," Health Care Management Science, Springer, vol. 21(4), pages 492-516, December.
    9. 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.
    10. repec:ipg:wpaper:201414 is not listed on IDEAS
    11. Nico Dellaert & Jully Jeunet, 2013. "Pareto optimal strategies for improved operational plans of elective patients under multiple constrained resources," Working Papers 2013-14, Department of Research, Ipag Business School.
    12. Ahmadi-Javid, Amir & Jalali, Zahra & Klassen, Kenneth J, 2017. "Outpatient appointment systems in healthcare: A review of optimization studies," European Journal of Operational Research, Elsevier, vol. 258(1), pages 3-34.
    13. Vieira, Bruno & Demirtas, Derya & van de Kamer, Jeroen B. & Hans, Erwin W. & van Harten, Wim, 2018. "A mathematical programming model for optimizing the staff allocation in radiotherapy under uncertain demand," European Journal of Operational Research, Elsevier, vol. 270(2), pages 709-722.

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