By Topic

Distributed resource allocation for healthcare systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Shao-Jen Weng ; Department of Industrial Engineering, Arizona State University, 85287, USA ; Teresa Wu ; Gerald Mackulak ; John Fowler

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.

Published in:

Service Operations and Logistics, and Informatics, 2008. IEEE/SOLI 2008. IEEE International Conference on  (Volume:1 )

Date of Conference:

12-15 Oct. 2008