A queueing model for bed-occupancy management and planning of hospitals.pdf

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A Queueing Model for Bed-Occupancy Management and Planning of Hospitals Author(s): F. Gorunescu, S. I. McClean and P. H. Millard Source: The Journal of the Operational Research Society, Vol. 53, No. 1 (Jan., 2002), pp. 19-24 Published by: Palgrave Macmillan Journals on behalf of the Operational Research Society Stable URL: . Accessed: 19/04/2013 07:23 Your use of the JSTOR archive indicates your acceptance of the Terms & Conditions of Use, available at . . JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact [email protected] . Palgrave Macmillan Journals and Operational Research Society are collaborating with JSTOR to digitize, preserve and extend access to The Journal of the Operational Research Society. This content downloaded from 128.151.244.46 on Fri, 19 Apr 2013 07:23:13 AM All use subject to JSTOR Terms and Conditions
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?2002 Operational Research Society Ltd. All rights reserved. 0160-5682/02 $15.00 A queueing model for bed-occupancy management and planning of hospitals F Gorunescul, SI McClean2* and PH Millard3 1 University of Medicineand Pharmacy, Craiova, Romania; 2 University of Ulster, Northern Ireland, UK; and 3St George's Hospital Medical School, London, UK Theaim of this paper is, on the one hand, to describe the movement of patients through a hospital department by using classical queueing theory and, on the other hand, to present a way of optimising the use of hospital resources in order to improve hospital care. A queueing modelis used to determine the maincharacteristics of the access of patients to hospital, such as mean bed occupancy and the probability that a demand for hospital care is lost because all beds are occupied. Moreover, we present a technique for optimising the number of beds in order to maintain an acceptable delay probability at a sufficiently low level and, finally, a way of optimising the average cost per dayby balancing costs of empty beds against costs of delayed patients. Journal of the Operational Research Society (2002) 53, 19-24. DOI: 10.1057/palgrave/jors/2601244 Keywords: queueing theory; geriatric medicine; bed occupancy; hospital costs model Introduction An under-provision of hospital beds leads to patients in need of hospital care being turned away, and the build-up of waiting lists or stress on another part of the hospital system. For example, when insufficient medical beds are provided to meet demand, emergency medical patients spill over into surgical beds; consequently, surgical waiting lists increase as planned admissions are postponed.
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