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Combining simulation and goal programming for healthcare planning in a medical assessment unit

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  • Oddoye, J.P.
  • Jones, D.F.
  • Tamiz, M.
  • Schmidt, P.

Abstract

This paper describes a detailed simulation model for healthcare planning in a medical assessment unit (MAU) of a general hospital belonging to the national health service (NHS), UK. The MAU is established to improve the quality of care given to acute medical patients on admission, and to provide the organisational means of rapid assessment and investigation in order to avoid unnecessary admissions. The simulation model enables different scenarios to be tested to eliminate bottlenecks in order to achieve optimal clinical workflow. The link between goal programming (GP) and simulation for efficient resource planning is explored. A GP model is developed for trade-off analysis of the results obtained from the simulation. The implications of MAU management preferences to various objectives are presented.

Suggested Citation

  • Oddoye, J.P. & Jones, D.F. & Tamiz, M. & Schmidt, P., 2009. "Combining simulation and goal programming for healthcare planning in a medical assessment unit," European Journal of Operational Research, Elsevier, vol. 193(1), pages 250-261, February.
  • Handle: RePEc:eee:ejores:v:193:y:2009:i:1:p:250-261
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    7. Bokhorst, Jos A.C. & van der Vaart, Taco, 2018. "Acute medical unit design – The impact of rearranged patient flows," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 75-83.
    8. Emily Zhu & Beste Kucukyazici & Yasmina Maizi, 2020. "Designing Observation Units for Heart Failure Patients: Capacity and Patient Flow Considerations," Service Science, INFORMS, vol. 12(1), pages 8-25, March.
    9. Abo-Hamad, Waleed & Arisha, Amr, 2013. "Simulation-based framework to improve patient experience in an emergency department," European Journal of Operational Research, Elsevier, vol. 224(1), pages 154-166.
    10. H. Romero & N. Dellaert & S. Geer & M. Frunt & M. Jansen-Vullers & G. Krekels, 2013. "Admission and capacity planning for the implementation of one-stop-shop in skin cancer treatment using simulation-based optimization," Health Care Management Science, Springer, vol. 16(1), pages 75-86, March.
    11. Kortbeek, N. & Braaksma, A. & Burger, C.A.J. & Bakker, P.J.M. & Boucherie, R.J., 2015. "Flexible nurse staffing based on hourly bed census predictions," International Journal of Production Economics, Elsevier, vol. 161(C), pages 167-180.
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