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Balancing operating theatre and bed capacity in a cardiothoracic centre

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  • John Bowers

Abstract

Cardiothoracic surgery requires many expensive resources. This paper examines the balance between operating theatres and beds in a specialist facility providing elective heart and lung surgery. Without both operating theatre time and an Intensive Care bed a patient’s surgery has to be postponed. While admissions can be managed, there are significant stochastic features, notably the cancellation of theatre procedures and patients’ length of stay on the Intensive Care Unit. A simulation was developed, with clinical and management staff, to explore the interdependencies of resource availabilities and the daily demand. The model was used to examine options for expanding the capacity of the whole facility. Ideally the bed and theatre capacity should be well balanced but unmatched increases in either resource can still be beneficial. The study provides an example of a capacity planning problem in which there is uncertainty in the demand for two symbiotic resources. Copyright Springer Science+Business Media New York 2013

Suggested Citation

  • John Bowers, 2013. "Balancing operating theatre and bed capacity in a cardiothoracic centre," Health Care Management Science, Springer, vol. 16(3), pages 236-244, September.
    • Handle: RePEc:kap:hcarem:v:16:y:2013:i:3:p:236-244
    DOI: 10.1007/s10729-013-9221-7
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    Cited by:

    1. Rachuba, Sebastian & Imhoff, Lisa & Werners, Brigitte, 2022. "Tactical blueprints for surgical weeks – An integrated approach for operating rooms and intensive care units," European Journal of Operational Research, Elsevier, vol. 298(1), pages 243-260.
    2. A, Augustin & P, Jouvet & N, Lahrichi & A, Lodi & LM, Rousseau, 2022. "A data-driven approach to include availability of ICU beds in the planning of the operating room," Omega, Elsevier, vol. 109(C).
    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. Farouq Halawa & Sreenath Chalil Madathil & Alice Gittler & Mohammad T. Khasawneh, 2020. "Advancing evidence-based healthcare facility design: a systematic literature review," Health Care Management Science, Springer, vol. 23(3), pages 453-480, September.
    5. Nicolas Bahou & Claire Fenwick & Gillian Anderson & Robert Meer & Tony Vassalos, 2018. "Modeling the critical care pathway for cardiothoracic surgery," Health Care Management Science, Springer, vol. 21(2), pages 192-203, June.
    6. Cappanera, Paola & Visintin, Filippo & Banditori, Carlo, 2014. "Comparing resource balancing criteria in master surgical scheduling: A combined optimisation-simulation approach," International Journal of Production Economics, Elsevier, vol. 158(C), pages 179-196.
    7. Jie Bai & Andreas Fügener & Jan Schoenfelder & Jens O. Brunner, 2018. "Operations research in intensive care unit management: a literature review," Health Care Management Science, Springer, vol. 21(1), pages 1-24, March.
    8. Fermín Mallor & Cristina Azcárate & Julio Barado, 2016. "Control problems and management policies in health systems: application to intensive care units," Flexible Services and Manufacturing Journal, Springer, vol. 28(1), pages 62-89, June.
    9. Azcarate, Cristina & Esparza, Laida & Mallor, Fermin, 2020. "The problem of the last bed: Contextualization and a new simulation framework for analyzing physician decisions," Omega, Elsevier, vol. 96(C).

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