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Linear and Probabilistic Resource Optimization and Allocation Problems

Chapter
Part of the SpringerBriefs in Health Care Management and Economics book series (BRIEFSHEALTHCARE)

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).

Keywords

Linear optimization Objective function Constraints Excel solver Total probability Conditional probability Emergency Department Patient discharge Physician resident scheduling Optimal staffing Specimen mass screening 

References

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Copyright information

© Alexander Kolker 2012

Authors and Affiliations

  1. 1.Children’s Hospital and Health SystemMilwaukeeUSA

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