Development of an information system for medical equipment management in hospitals

2016 ◽  
Author(s):  
S. Nutdanai ◽  
L. Pornthip ◽  
A. Sanpanich
Keyword(s):  
Information System ◽  
Medical Equipment ◽  
Equipment Management

scholarly journals Evidence-based medical equipment management: a convenient implementation

2019 ◽  
Vol 57 (10) ◽  
pp. 2215-2230 ◽  
Author(s):  
Ernesto Iadanza ◽  
Valentina Gonnelli ◽  
Francesca Satta ◽  
Monica Gherardelli
Keyword(s):  
Medical Equipment ◽  
Evidence Based ◽  
Equipment Management

scholarly journals MULTICRITERIA DECISION ANALYSIS: A MULTIFACETED APPROACH TO MEDICAL EQUIPMENT MANAGEMENT

2014 ◽  
Vol 20 (3) ◽  
pp. 576-589 ◽  
Author(s):  
Ilya Ivlev ◽  
Peter Kneppo ◽  
Miroslav Bartak
Keyword(s):  
Decision Analysis ◽  
Medical Equipment ◽  
Equipment Management ◽  
Human Factors Engineering ◽  
Resource Limited Settings ◽  
Analytic Hierarchy ◽  
Value Analysis ◽  
Advantages And Disadvantages ◽  
Resource Limited ◽  
Multi Attribute Utility Theory

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.

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