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

Purpose 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/approach A 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. Findings The 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.