A New Fuzzy AHP- Fuzzy VIKOR Approach in Control and Management of The Angiography Procedure to Prevent Disruptions: A Case Study

Background and objectives: A hybrid MCDM approach is presented to evaluate and prioritize the disruptions in the angiography process, in a fuzzy environment. The proposed approach is applied to a real case in a public hospital. Methods: In this study, a new approach is utilized based on fuzzy MCDM methods. The disruptions are identified using the experts' opinions. Then, the FMEA risk factors are compared in pairs and given weights by experts, using fuzzy AHP. The Experts were then asked to rate the disruptions according to the risk factors. Finally, the disruptions were ranked using Fuzzy VIKOR. Results and Conclusion: Results show that the risk factor occurrence has the highest importance among the three risk factors. They also suggest that the top three disruptions in the angiography process are ‘absence of manual’ and ‘guideline on angiography procedure’, ‘inadequate training of personnel and exhaustion’, respectively. Practical implications: Results of this study may help hospital managers and practitioners avoid disruptions in the process and improve healthcare service quality. Originality/value: The recent studies in the related literature were thoroughly investigated and it was found that no studies considered the disruptions identification and analysis in the angiography process. Therefore, the disruptions in the angiography process are investigated for the first time. Moreover, the efficiency and applicability of the proposed method and the rankings are validated by the experts.