Performance analysis on algorithms for selection of desired healthcare services
Authors : Salaja Silas, Elijah Blessing Rajsingh
Summary
In recent years, there has been a tremendous growth in healthcare services. Different hospitals with the support of many specialists provide a wide variety of healthcare services. The information about different hospitals and their health care service capabilities are quite not well integrated. However, IT based solutions are being developed for effective sharing of health care service capabilities and for selection of desired health care service providers. As different hospitals provide a wide variety of health care services and since different users have different criteria in selecting the health care providers, the selection of health care providers can be modelled as a multi-criteria decision making problem. In this paper, attempts were made to apply different multi-criteria solution methodologies such as ELECTRE, PROMETHEE, AHP for health care service applications. The algorithms were implemented and their performance were analyzed and investigated. The experimental results prove that the PROMETHEE method is best suited for solving multi-criteria decision making problem in the selection of desired health care services.
Keywords
Health care service provider selection; Multi-criteria decision making; ELECTRE; PROMETHEE; Analytic Hierarchy Process (AHP)
Citation: Salaja Silas, Elijah Blessing Rajsingh Performance analysis on algorithms for selection of desired healthcare services doi:10.1016/j.pisc.2016.04.009
Received: 9 February 2016 Accepted: 11 April 2016 Available online: 28 April 2016
Copyright: © 2016 Published by Elsevier GmbH. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Conflict of interest
There is no conflict of interest to declare.
Funding
There is no conflict of interest to declare.
Acknowledgement
This work is funded by Indian Council of Medical Research under ad hoc project scheme (Project ID: IRIS: 2010-11860).
