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

J P Oddoye, M A Yaghoobi, M Tamiz (), D F Jones and P Schmidt
Additional contact information
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

Journal of the Operational Research Society, 2007, vol. 58, issue 12, 1563-1573

Abstract: 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.

Keywords: health care; goal programming; multi-objective decision making (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (7)

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DOI: 10.1057/palgrave.jors.2602315

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