A Fuzzy-based Multi-dimensional Risk Assessment Model for the Healthcare System

Hanqin Zhang, M.K.S. Al-Mhdawi, Mario P. Brito, Abroon Qazi, Wenhao Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The adoption of multi-criteria risk assessment methods, such as probability and impact matrices, in the healthcare sector poses several risks, one of which is subjectivity and bias in decision making. To this end, the aim of this research is to develop a multi-criteria healthcare risk assessment model under fuzzy environment. To achieve this, a three-step research methodology was employed. The study identifies 29 risk factors, with insufficient team cooperation and communication, poor response to health pandemics, and misdiagnosis being the top three risks. The findings of this study might be of value to relevant medical personnel and organisations in effectively managing risks and developing appropriate risk interventions.
Original languageEnglish
Title of host publicationProceedings of the 33rd European Safety and Reliability Conference (ESREL 2023)
EditorsMário P. Brito, Terje Aven, Piero Baraldi, Marko Čepin, Enrico Zio
Place of PublicationSingapore
PublisherResearch Publishing
Pages592-598
ISBN (Electronic)9789811880711
DOIs
Publication statusPublished - 23 Jul 2023
Event33rd European Safety and Reliability Conference - Southampton, United Kingdom
Duration: 3 Sept 20237 Sept 2023

Conference

Conference33rd European Safety and Reliability Conference
Abbreviated titleESREL 2023
Country/TerritoryUnited Kingdom
CitySouthampton
Period3/09/237/09/23

Bibliographical note

© 2023 ESREL 2023 Organisers. All rights reserved.

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