Volume 4, Issue 2, June 2018, Page: 36-47
Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System
Min Zhou, School of Business Administration, Hunan University of Commerce, Changsha, China; School of Economics and Management, Southeast University, Nanjing, China
Lindu Zhao, School of Economics and Management, Southeast University, Nanjing, China
Shujuan Qu, The Third Xiangya Hospital of Central South University, Changsha, China
Kathryn Sarah Campy, Center for Public Health Initiatives, University of Pennsylvania, Philadelphia, USA
Received: Mar. 7, 2018;       Accepted: Mar. 27, 2018;       Published: Apr. 18, 2018
DOI: 10.11648/j.ijbecs.20180402.12      View  914      Downloads  42
Abstract
In China, 10% of medical resource are general hospital which treat 86% patients. This will lead the health resources in these hospitals become insufficient and exhaust, even if the resources in other hospitals idle. Previous studies have indicated that the scattering resource systems will result in significant imbalances if it lacks stable and effective match. To deal with Two-Sided Matching (TSM) problem in hierarchical medical system, a matching decision-making approach based on multiple scenarios was proposed. The algorithm was designed to adapt four kinds of scenarios, it analyzed multi-context matching satisfaction degree of these cooperation situations in different forms of environment respectively and specifically.By comparing the examples, the multi - scenario dynamic matching method is superior to the random matching algorithm and the “F-Y” algorithm (improved G - S algorithm), and it is effective to obtain the stable and feasible solution. This paper showed a multi-scenarios dynamic matching algorithm for hierarchical treatment system by modifying comprehensive satisfaction integration function and differential adjustment function. This paper concentrated on the stability and total satisfaction goals of system matching. This method serves as a decision-making reference for the bilateral matching encountered in the problem of “hierarchical treatment system” around the world.
Keywords
Hierarchical Medical System, Bilateral Matching, Multiple Scenarios, Medical Resources
To cite this article
Min Zhou, Lindu Zhao, Shujuan Qu, Kathryn Sarah Campy, Multi-Scenarios Dynamic Matching Algorithm for Hierarchical Treatment System, International Journal of Biomedical Engineering and Clinical Science. Vol. 4, No. 2, 2018, pp. 36-47. doi: 10.11648/j.ijbecs.20180402.12
Copyright
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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