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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.
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    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.

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    Bibliographic Info

    Article provided by Elsevier in its journal European Journal of Operational Research.

    Volume (Year): 193 (2009)
    Issue (Month): 1 (February)
    Pages: 250-261

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    Handle: RePEc:eee:ejores:v:193:y:2009:i:1:p:250-261

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    Web page: http://www.elsevier.com/locate/eor

    Related research

    Keywords: Health service Simulation Goal programming Resource management;

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    Cited by:
    1. Jones, Dylan, 2011. "A practical weight sensitivity algorithm for goal and multiple objective programming," European Journal of Operational Research, Elsevier, vol. 213(1), pages 238-245, August.
    2. 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.
    3. Adan, Ivo & Bekkers, Jos & Dellaert, Nico & Jeunet, Jully & Vissers, Jan, 2011. "Improving operational effectiveness of tactical master plans for emergency and elective patients under stochastic demand and capacitated resources," European Journal of Operational Research, Elsevier, vol. 213(1), pages 290-308, August.
    4. Asteris, Michael & Collins, Alan & Jones, Dylan F., 2012. "Container port infrastructure in north-west Europe: Policy-level modeling," Journal of Policy Modeling, Elsevier, vol. 34(2), pages 312-324.
    5. 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.

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