Risk Analysis in Healthcare Organizations: Methodological Framework and Critical Variables.
consequences-likelihood analysis
healthcare risk analysis
risk matrix
Journal
Risk management and healthcare policy
ISSN: 1179-1594
Titre abrégé: Risk Manag Healthc Policy
Pays: England
ID NLM: 101566264
Informations de publication
Date de publication:
2021
2021
Historique:
received:
01
03
2021
accepted:
10
05
2021
entrez:
16
7
2021
pubmed:
17
7
2021
medline:
17
7
2021
Statut:
epublish
Résumé
A risk assessment matrix is a widely used tool for analyzing, assessing and setting priorities in risk management in many fields. This paper overviews critical variables, advantages, disadvantages, strengths and weaknesses of this tool, according to the ISO 31000 risk management framework. Risk assessment is one of the key stages in the Risk Management Process and involves specific steps: identifying hazards, analyzing and evaluating all possible risks. Several methods are developed to assess risks in the literature. A risk matrix method, also called "decision matrix risk assessment (DMRA) technique", is a systematic approach used to determine the risk level and to compare different risks and define which threats need to be controlled first. The actors involved in risk assessment are called on to manage different issues related to the choice of the most appropriate methodological approach, the assessment of the adequacy of the existing control measures, the articulation of risk consequence domains, the definition of the impact-consequences, the explanation of risk likelihood scales and the development of a risk matrix. We highlighted a number of recommendations in order to address these issues, especially useful when healthcare organizations provide insufficient guidance on how to use risk matrices as well as what to do in response to the existing criticisms on their use.
Identifiants
pubmed: 34267567
doi: 10.2147/RMHP.S309098
pii: 309098
pmc: PMC8275831
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
2897-2911Informations de copyright
© 2021 Pascarella et al.
Déclaration de conflit d'intérêts
The authors report no conflicts of interest in this work.
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