Endoscopic Equipment Update Model Based On Multilevel Fuzzy Comprehensive Evaluation Method

Objective:To improve the efficiency of decision-making and to provide a novel idea for management of medical equipment updates, using multi-level fuzzy comprehensive evaluation method, a model for making endoscopic equipment updating decisions was constructed in order to quantify the management of endoscopic equipment updates.Method:The factor set and decision set were established through reviewing related literatures and in-field surveys. Considering the complexity of decision-making, a hierarchic analysis was utilized.To determine the weights, matrix plus operations were performed on scoring data of each of the two levels, and normalization of the resultant matrix was then carried out to decide the weights of both the second class and first class indices. Consistency was further tested by Kendall W method.The comprehensive evaluation involved normalizing the analytic evaluation matrix and determining the optimal decisions based on the maximum membership degree principle. Results:A specific case of choledochoscope equipment in XY hospital was taken to demonstrate the practical use of our endoscopic equipment updating model, in which a highest score of32.93from comprehensive evaluations by hospital administrators, a highest score of28.66from comprehensive evaluations by doctors and a comprehensive evaluation score of0.35each corresponded to a decision of replacing the old equipment with a more efficient new one, while a highest score of16.87by hospital administrators corresponded to a decision of making major repair to the present equipment. Moreover, the final decision outputted by our model favored the replacement strategy.Conclusion:The proposed model has been applied to the decision making process of whether to update the endoscopic equipment in XY hospital, which came to a consistent decision with that concluded from traditional management methods, indicating its good practical applicability and rationality, enabling its applicability in the decision-making process of updating other medical devices.