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Research on risk management of medical and health care integration projects based on fuzzy WINGS-G1

Research on risk management of medical and health care integration projects based on fuzzy WINGS-G1 This study establishes a risk management system for medical and health care integration projects to address the problem of high-risk potential and a strong correlation between risk factors.Design/methodology/approachA new fuzzy WINGS-G1 model for identifying key risk factors in medical and health care integration projects is proposed by introducing the fuzzy theory and the concept of risk incidence into the Weighted Influence Non-linear Gauge System (WINGS) method.FindingsThe authors analyze the fluidity of project risk factors through complex networks to control direct risks and cut off risk transmission paths to provide a reference for risk control and prevention of medical and health care integration projects.Originality/value(1) The integration of fuzzy theory into the WINGS method solves the problem of strong subjectivity of expert scoring in the traditional WINGS method; (2) By the different probabilities of risk factors, the concept of risk incidence is introduced in the WINGS model, which is more conducive to the identification of the critical risk factors and the rational allocation and utilization of organizational resources; (3) The use of the complex network for risk interactivity analysis fully reflects the dynamic nature of risk factors in medical and health care integration projects. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

Research on risk management of medical and health care integration projects based on fuzzy WINGS-G1

Zhang, Yu; Xu, Lan
Kybernetes , Volume 52 (3): 19 – Mar 3, 2023
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References (53)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
0368-492X
DOI
10.1108/k-07-2021-0578
Publisher site
See Article on Publisher Site

Abstract

This study establishes a risk management system for medical and health care integration projects to address the problem of high-risk potential and a strong correlation between risk factors.Design/methodology/approachA new fuzzy WINGS-G1 model for identifying key risk factors in medical and health care integration projects is proposed by introducing the fuzzy theory and the concept of risk incidence into the Weighted Influence Non-linear Gauge System (WINGS) method.FindingsThe authors analyze the fluidity of project risk factors through complex networks to control direct risks and cut off risk transmission paths to provide a reference for risk control and prevention of medical and health care integration projects.Originality/value(1) The integration of fuzzy theory into the WINGS method solves the problem of strong subjectivity of expert scoring in the traditional WINGS method; (2) By the different probabilities of risk factors, the concept of risk incidence is introduced in the WINGS model, which is more conducive to the identification of the critical risk factors and the rational allocation and utilization of organizational resources; (3) The use of the complex network for risk interactivity analysis fully reflects the dynamic nature of risk factors in medical and health care integration projects.

Journal

Kybernetes – Emerald Publishing

Published: Mar 3, 2023

Keywords: Medical and health care integration; WINGS; Risk management; Risk incidence; Complex networks

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