Reliability Evaluation Of CT Clinical Applications Based On Real World Evidence

In the system of evidence-based medicine,randomized controlled trials(RCTs)have always occupied a central position.However,from the perspective of efficiency and cost analysis,RCTs have obvious shortcomings,especially in the field of medical devices where there are many varieties and rapid product iteration.This makes highquality evidence-based medicine based on RCTs relatively insufficient.Real-world evidence refers to the evidence related to the use of medical products obtained through the study of real-world data from multiple sources,which is an important supplement to RCTs.CT equipment is an important device commonly used in the medical industry,and any failure may affect the accuracy of diagnosis.Therefore,ensuring the reliability of CT equipment is a key focus of medical institutions,and the application of real-world evidence in the clinical reliability evaluation process of CT has important significance.The specific work of this study is summarized as follows:Firstly,the structure composition and working principle of the CT equipment were analyzed,and the entire equipment was divided into seven subsystems.Fault tree analysis(FTA)modeling was performed on each of the seven subsystems of the CT equipment to identify the inherent relationships between the fault factors and to provide the structure functions of each subtree,laying the foundation for the analysis of failure modes and effects.Secondly,historical fault data of the CT equipment were collected to analyze the causes and effects of various failure modes.In addition,considering the limitations of traditional failure mode and effects analysis in quantitative analysis,the fuzzy theory and ordered weighted geometric averaging operator were introduced into the calculation of risk coefficients to identify high-risk failure modes.Based on maintenance and management experience,targeted optimization solutions were proposed.Finally,to address the limitation that the Weibull distribution’s failure rate function can only exhibit a monotonic trend,this study introduced the q-Weibull distribution to evaluate the reliability of the CT equipment at both the whole-machine and seven subsystem levels.The probability graph method was used to solve the shape parameter q、β,scale parameter η,and location parameter t0 of the q-Weibull distribution,and to calculate the reliability function,probability density function,and failure rate function of the CT equipment and subsystems.The results were compared with those of the Weibull distribution using mean square error and Akaike information criterion.It was found that the q-Weibull distribution had significant advantages in fitting accuracy and deserves further promotion in the field of medical equipment reliability evaluation.Through the above analysis,high-risk failure modes and weak parts of CT equipment have been identified,and the reliability indicators of CT equipment have been calculated using q-Weibull distribution.This provides clinical engineers with a reference basis for optimizing the maintenance strategy of CT equipment.