Multicriteria decision analysis: a multifaceted approach to medical equipment management

Selecting medical equipment is a complex multidisciplinary task requiring mathematical tools, considering associated uncertainties. This paper offers an in-depth study of multiple-criteria decision analysis (MCDA) methods to identify the most appropriate ones for performing management tasks in reso...

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Main Authors: Ilya Ivlev, Peter Kneppo, Miroslav Bartak
Format: Article
Language:English
Published: Vilnius Gediminas Technical University 2014-10-01
Series:Technological and Economic Development of Economy
Subjects:
Online Access:https://journals.vgtu.lt/index.php/TEDE/article/view/3430
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spelling doaj-fce5bdd65c444bbba9e42eb537fb53da2021-07-02T07:43:47ZengVilnius Gediminas Technical UniversityTechnological and Economic Development of Economy2029-49132029-49212014-10-0120310.3846/20294913.2014.943333Multicriteria decision analysis: a multifaceted approach to medical equipment managementIlya Ivlev0Peter Kneppo1Miroslav Bartak2Department of Biomedical Technology, Czech Technical University in Prague, Nam. Sitna 3105, 272 01 Kladno, Czech RepublicDepartment of Biomedical Technology, Czech Technical University in Prague, Nam. Sitna 3105, 272 01 Kladno, Czech RepublicDepartment of Social Work, Jan Evangelista Purkyně University in Ústí nad Labem, Czech Republic Selecting medical equipment is a complex multidisciplinary task requiring mathematical tools, considering associated uncertainties. This paper offers an in-depth study of multiple-criteria decision analysis (MCDA) methods to identify the most appropriate ones for performing management tasks in resource-limited settings. The chosen articles were divided into three topics: evaluation of projects and equipment, selection of projects and equipment, and development of medical devices. Three methods (analytic hierarchy process [AHP], multi-attribute utility theory and elimination and choice expressing reality) were selected for detailed analyses of their application for medical equipment management. Twenty-one work using MCDA, artificial neural networks, human factors engineering, and value analysis were analysed in the framework of medical equipment management. The important aspects of the procedure were described, highlighting their advantages and disadvantages. It was determined that the AHP approach corresponds to all defined criteria for selecting large medical equipment. Managing large medical equipment using MCDA will reduce uncertainties, and provide a rational selection and purchase of the most efficient equipment in resource-limited settings. The direction for improving the AHP method was determined. https://journals.vgtu.lt/index.php/TEDE/article/view/3430analytic hierarchy processdecision theorymulti-criteria decision makingoperations researchprocurementmedical technologies
collection DOAJ
language English
format Article
sources DOAJ
author Ilya Ivlev
Peter Kneppo
Miroslav Bartak
spellingShingle Ilya Ivlev
Peter Kneppo
Miroslav Bartak
Multicriteria decision analysis: a multifaceted approach to medical equipment management
Technological and Economic Development of Economy
analytic hierarchy process
decision theory
multi-criteria decision making
operations research
procurement
medical technologies
author_facet Ilya Ivlev
Peter Kneppo
Miroslav Bartak
author_sort Ilya Ivlev
title Multicriteria decision analysis: a multifaceted approach to medical equipment management
title_short Multicriteria decision analysis: a multifaceted approach to medical equipment management
title_full Multicriteria decision analysis: a multifaceted approach to medical equipment management
title_fullStr Multicriteria decision analysis: a multifaceted approach to medical equipment management
title_full_unstemmed Multicriteria decision analysis: a multifaceted approach to medical equipment management
title_sort multicriteria decision analysis: a multifaceted approach to medical equipment management
publisher Vilnius Gediminas Technical University
series Technological and Economic Development of Economy
issn 2029-4913
2029-4921
publishDate 2014-10-01
description Selecting medical equipment is a complex multidisciplinary task requiring mathematical tools, considering associated uncertainties. This paper offers an in-depth study of multiple-criteria decision analysis (MCDA) methods to identify the most appropriate ones for performing management tasks in resource-limited settings. The chosen articles were divided into three topics: evaluation of projects and equipment, selection of projects and equipment, and development of medical devices. Three methods (analytic hierarchy process [AHP], multi-attribute utility theory and elimination and choice expressing reality) were selected for detailed analyses of their application for medical equipment management. Twenty-one work using MCDA, artificial neural networks, human factors engineering, and value analysis were analysed in the framework of medical equipment management. The important aspects of the procedure were described, highlighting their advantages and disadvantages. It was determined that the AHP approach corresponds to all defined criteria for selecting large medical equipment. Managing large medical equipment using MCDA will reduce uncertainties, and provide a rational selection and purchase of the most efficient equipment in resource-limited settings. The direction for improving the AHP method was determined.
topic analytic hierarchy process
decision theory
multi-criteria decision making
operations research
procurement
medical technologies
url https://journals.vgtu.lt/index.php/TEDE/article/view/3430
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