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Modeling the critical care pathway for cardiothoracic surgery

Author

Listed:
  • Nicolas Bahou

    (University of Strathclyde)

  • Claire Fenwick

    (Golden Jubilee National Hospital)

  • Gillian Anderson

    (University of Strathclyde)

  • Robert Meer

    (University of Strathclyde)

  • Tony Vassalos

    (Golden Jubilee National Hospital)

Abstract

The west of Scotland heart and lung center based at the Golden Jubilee National Hospital houses all adult cardiothoracic surgery for the region. Increased demand for scheduled patients and fluctuations in emergency referrals resulted in increasing waiting times and patient cancellations. The main issue was limited resources, which was aggravated by the stochastic nature of the length of stay (LOS) and arrival of patients. Discrete event simulation (DES) was used to assess if an enhanced schedule was sufficient, or more radical changes, such as capacity or other resource reallocations should be considered in order to solve the problem. Patients were divided into six types depending on their condition and LOS at the different stages of the process. The simulation model portrayed each patient type’s pathway with sufficient detail. Patient LOS figures were analyzed and distributions were formed from historical data, which were then used in the simulation. The model proved successful as it showed figures that were close to actual observations. Acquiring results and knowing exactly when and what caused a cancellation was another strong point of the model. The results demonstrated that the bottleneck in the system was related to the use of High Dependency Unit (HDU) beds, which were the recovery beds used by most patients. Enhancing the schedule by leveling out the daily arrival of patients to HDUs reduced patient cancellations by 20%. However, coupling this technique with minor capacity reallocations resulted in more than 60% drop in cancellations.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:hcarem:v:21:y:2018:i:2:d:10.1007_s10729-017-9401-y
    DOI: 10.1007/s10729-017-9401-y
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    References listed on IDEAS

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    1. Peter VanBerkel & John Blake, 2007. "A comprehensive simulation for wait time reduction and capacity planning applied in general surgery," Health Care Management Science, Springer, vol. 10(4), pages 373-385, December.
    2. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    3. N. K. Kwak & P. J. Kuzdrall & Homer H. Schmitz, 1976. "The GPSS Simulation of Scheduling Policies for Surgical Patients," Management Science, INFORMS, vol. 22(9), pages 982-989, May.
    4. 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.
    5. Brian Denton & James Viapiano & Andrea Vogl, 2007. "Optimization of surgery sequencing and scheduling decisions under uncertainty," Health Care Management Science, Springer, vol. 10(1), pages 13-24, February.
    6. S C Brailsford & T B Bolt & G Bucci & T M Chaussalet & N A Connell & P R Harper & J H Klein & M Pitt & M Taylor, 2013. "Overcoming the barriers: a qualitative study of simulation adoption in the NHS," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(2), pages 157-168, February.
    7. P R Harper & A K Shahani, 2002. "Modelling for the planning and management of bed capacities in hospitals," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 53(1), pages 11-18, January.
    8. Cardoen, Brecht & Demeulemeester, Erik & Beliën, Jeroen, 2010. "Operating room planning and scheduling: A literature review," European Journal of Operational Research, Elsevier, vol. 201(3), pages 921-932, March.
    9. 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.
    10. Francesca Guerriero & Rosita Guido, 2011. "Operational research in the management of the operating theatre: a survey," Health Care Management Science, Springer, vol. 14(1), pages 89-114, March.
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