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

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 identified 29 risk factors, among which insufficient team cooperation and communication, poor response to health pandemics, and misdiagnosis were the most significant. The findings of this study could hold significant value for medical personnel and organizations in their efforts to manage risks effectively and develop appropriate risk intervention strategies.

Note:
Funding Information: No funding was received.

Declaration of Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Keywords: Healthcare, Risk Assessment, Fuzzy set theory, China