Distributed resource allocation for healthcare systems

Shao Jen Weng, Teresa Wu, Gerald Mackulak, John Fowler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Healthcare costs in most developed economies have grown dramatically over the last few decades. It is widely believed that the inefficiency of healthcare institutions has contributed to this rise. In response to this belief, much scholarly attention has been devoted to allocating resources for efficient operation of healthcare institutions. Traditionally, centralized methods are applied to such problems. However, the inherent, decentralized nature of many hospitals for the same healthcare corporation drives the investigation on decentralized or distributed methods. This paper explores the application of a linear and a nonlinear pricing model for healthcare resource allocation in specific, staffing configurations. A simulation model for hospital Emergency Room (ER) is developed to collect the performance data. The data is then analyzed to construct Linear Programming (LP) model for each ER staffing configuration problem. Two pricing models are employed to find the equilibrium solutions between two ERs.

Original languageEnglish (US)
Title of host publicationProceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
Pages1078-1083
Number of pages6
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008 - Beijing, China
Duration: Oct 12 2008Oct 15 2008

Publication series

NameProceedings of 2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
Volume1

Other

Other2008 IEEE International Conference on Service Operations and Logistics, and Informatics, IEEE/SOLI 2008
CountryChina
CityBeijing
Period10/12/0810/15/08

Keywords

  • Healthcare
  • Resource allocation
  • Simulation

ASJC Scopus subject areas

  • Information Systems
  • Electrical and Electronic Engineering

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