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A multi-objective model to determine efficient resource levels in a medical assessment unit

Author

Listed:
  • J P Oddoye

    (University of Portsmouth)

  • M A Yaghoobi

    (University of Kerman)

  • M Tamiz

    (University of Portsmouth)

  • D F Jones

    (University of Portsmouth)

  • P Schmidt

    (Queen Alexandra Hospital)

Abstract

This paper details models that determine the efficient allocation of resources on a medical assessment unit (MAU) of a general hospital belonging to the National Health Service (NHS) UK. The MAU was established to improve the quality of care given to acute medical patients on admission, and also provide the organizational means of rapid assessment and investigation in order to avoid unnecessary admissions. To analyse the performance of the MAU, doctors, nurses and beds are considered as the three main resources. Then a model is developed using the goal programming approach in multiobjective decision making and solved to deal with MAU performance. The developed model is solved under three different sets of patient admissions with the same resource levels using past data from the MAU. The results of the model are used to analyse the needed resource levels. Conclusions as to the appropriate staffing levels and functions of the MAU are drawn.

Suggested Citation

  • J P Oddoye & M A Yaghoobi & M Tamiz & D F Jones & P Schmidt, 2007. "A multi-objective model to determine efficient resource levels in a medical assessment unit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(12), pages 1563-1573, December.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:12:d:10.1057_palgrave.jors.2602315
    DOI: 10.1057/palgrave.jors.2602315
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    3. X Li & P Beullens & D Jones & M Tamiz, 2009. "An integrated queuing and multi-objective bed allocation model with application to a hospital in China," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 330-338, March.
    4. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2015. "An integrated approach for planning a long-term care network with uncertainty, strategic policy and equity considerations," European Journal of Operational Research, Elsevier, vol. 247(1), pages 321-334.
    5. Cardoso, Teresa & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana & Nickel, Stefan, 2016. "Moving towards an equitable long-term care network: A multi-objective and multi-period planning approach," Omega, Elsevier, vol. 58(C), pages 69-85.
    6. 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.
    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.

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