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Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS

Author

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  • Peter J H Hulshof
  • Nikky Kortbeek
  • Richard J Boucherie
  • Erwin W Hans
  • Piet J M Bakker

Abstract

We provide a comprehensive overview of the typical decisions to be made in resource capacity planning and control in health care, and a structured review of relevant articles from the field of Operations Research and Management Sciences (OR/MS) for each planning decision. The contribution of this paper is twofold. First, to position the planning decisions, a taxonomy is presented. This taxonomy provides health care managers and OR/MS researchers with a method to identify, break down and classify planning and control decisions. Second, following the taxonomy, for six health care services, we provide an exhaustive specification of planning and control decisions in resource capacity planning and control. For each planning and control decision, we structurally review the key OR/MS articles and the OR/MS methods and techniques that are applied in the literature to support decision making.

Suggested Citation

  • Peter J H Hulshof & Nikky Kortbeek & Richard J Boucherie & Erwin W Hans & Piet J M Bakker, 2012. "Taxonomic classification of planning decisions in health care: a structured review of the state of the art in OR/MS," Health Systems, Taylor & Francis Journals, vol. 1(2), pages 129-175, December.
    • Handle: RePEc:taf:thssxx:v:1:y:2012:i:2:p:129-175
    DOI: 10.1057/hs.2012.18
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    Cited by:

    1. Helga Rafael Henriques & Tiago Nascimento & Andreia Costa, 2023. "Nurses’ Experiences of Care in Portuguese Nursing Homes during the COVID-19 Pandemic: A Focus Group Study," IJERPH, MDPI, vol. 20(16), pages 1-17, August.
    2. Şeyma Güven-Koçak & Aliza Heching & Pınar Keskinocak & Alejandro Toriello, 2024. "Continuity of care in home health care scheduling: a rolling horizon approach," Journal of Scheduling, Springer, vol. 27(4), pages 375-392, August.
    3. Alireza F. Hesaraki & Nico P. Dellaert & Ton Kok, 2023. "Online scheduling using a fixed template: the case of outpatient chemotherapy drug administration," Health Care Management Science, Springer, vol. 26(1), pages 117-137, March.
    4. Alex Kuiper & Robert H. Lee, 2022. "Appointment Scheduling for Multiple Servers," Management Science, INFORMS, vol. 68(10), pages 7422-7440, October.
    5. Elorza, María Eugenia & Moscoso, Nebel Silvana & Blanco, Anibal Manuel, 2022. "Assessing performance in health care: A mathematical programming approach for the re-design of primary health care networks," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    6. Carter, Michael W. & Busby, Carolyn R., 2023. "How can operational research make a real difference in healthcare? Challenges of implementation," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1059-1068.
    7. Behrens, Doris A. & Morgan, Jennifer S. & Krczal, Eva & Harper, Paul R. & Gartner, Daniel, 2023. "Still looking in the wrong place: Literature-based evidence of why patients really attend an emergency department," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    8. Gouveia, Catarina & Kalakou, Sofia & Cardoso-Grilo, Teresa, 2023. "How to forecast mental healthcare needs? Distinguishing between perceived and unperceived needs and their impact on capacity requirements," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    9. Zhaohui Li & Haiyue Yu & Zhaowei Zhou, 2024. "Scheduling of elective operations with coordinated utilization of hospital beds and operating rooms," Journal of Combinatorial Optimization, Springer, vol. 47(5), pages 1-29, July.
    10. van Dijk, N.M. & van der Sluis, E. & Bulder, L.N. & Cui, Y., 2024. "Flexible serial capacity allocation with intensive care application," International Journal of Production Economics, Elsevier, vol. 272(C).

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