An integrated multi-criteria decision-making framework for a medical device selection in the healthcare industry

Abstract

Medical devices used in healthcare organizations are costly, and the process of selecting these devices requires considering multiple criteria such as effectiveness and ease of use. Careful selection of these devices is daunting since it entails the evaluation of various measures. This research investigates the selection process of the same type of medical devices, especially when alternatives are available, and the organization needs to make a good selection. A Multi-Criteria Decision-Making (MCDM) framework based on the integration of the Analytical Hierarchy Process (AHP) and ELimination Et Choice Translating Reality (ELECTRE) method is developed. The framework model includes 10 criteria, which are selected based on real-life inputs from professional physicians. Seven Ultrasound machines (referred to as alternatives) are evaluated using the developed framework. A case study is conducted on the best selection practice of an Ultrasound machine in a gynecology clinic based in the Kingdom of Jordan. Results revealed that the best and worst alternatives of ultrasound machines are identified and compared with all other options.

Publication DOI: https://doi.org/10.1080/23311916.2021.1968741
Divisions: College of Business and Social Sciences > Aston Business School
College of Business and Social Sciences > Aston Business School > Operations & Information Management
Funding Information: The authors received no direct funding for this research.
Additional Information: Funding Information: The authors received no direct funding for this research. Publisher Copyright: © 2021 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
Uncontrolled Keywords: AHP,ELECTRE,healthcare industry,integrated framework,MCDM,medical devices,Computer Science(all),Chemical Engineering(all),Engineering(all)
Publication ISSN: 2331-1916
Last Modified: 23 May 2024 07:18
Date Deposited: 30 Jan 2023 09:00
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
https://www.tan ... 16.2021.1968741 (Publisher URL)
PURE Output Type: Article
Published Date: 2021-09-09
Accepted Date: 2021-07-22
Authors: Shbool, Mohammad A.
Arabeyyat, Omar S.
Al-Bazi, Ammar (ORCID Profile 0000-0002-5057-4171)
AlAlaween, Wafa’ H.

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