Abstract
This chapter includes detailed analysis of five problems using the linear and probabilistic resource optimization and allocation methodology: linear optimization of patient service volumes for different service lines; optimal staffing for 24/7 three-shift operations; physician resident scheduling to meet Institute of Medicine (IOM) new restricted resident work hours for day and night shifts; optimized specimen mass screening testing aimed at reducing the overall number of tests per specimen; and the projection of the expected number of patients discharged from the Emergency Department given the time that a patient has already stayed in ED (the use of the concept of the conditional probability of discharge).
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© 2012 Alexander Kolker
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Kolker, A. (2012). Linear and Probabilistic Resource Optimization and Allocation Problems. In: Healthcare Management Engineering: What Does This Fancy Term Really Mean?. SpringerBriefs in Health Care Management and Economics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2068-2_3
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DOI: https://doi.org/10.1007/978-1-4614-2068-2_3
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