In order to evaluate the quality of different brands of magnetic resonance imaging system, optimize the quality of equipment repair and maintenance, and ensure the quality and safety of the equipment in clinical use. Meanwhile build the reliability evaluation model of magnetic resonance imaging equipment based on the large failure data collected by magnetic resonance repair system. In this paper, using the fault data of a certain brand of magnetic resonance in the past two years, applying the statistical judgment criterion, selecting the appropriate statistical distribution model, and finally fitting the equipment reliability evaluation model based on the non-homogeneous Poisson process, and then obtaining the magnetic resonance imaging equipment. Reliability evaluation indicators such as cumulative fault strength function, magnetic resonance imaging equipment fault density function, and mean time between failures. According to the calculated reliability index, on the one hand, it can evaluate the system reliability quality of a certain brand of magnetic resonance imaging equipment, and then evaluate the quality of different brands of magnetic resonance imaging equipment, on the other hand, it can help hospital equipment managers to carry out operational optimization, maintenance strategy development and safety management of magnetic resonance imaging equipment.
Equipment and Supplies, Hospital/standards* ; Magnetic Resonance Imaging/instrumentation* ; Reproducibility of Results

OBJECTIVE: Based on the Magphan phantom,a baseline value of low contrast resolution was established,and the stability of the imaging performance of the system was monitored.Drift and correction were found in time to give full play to the performance of the device. METHODS: The general test evaluation method for low-contrast resolution was not suitable for the characteristics of long-term monitoring equipment performance changes,and the test evaluation of low-contrast resolution that incorporates the -test method in statistical principle was proposed. RESULTS: By analyzing and evaluating the test results of the low contrast resolution of the standard water model image,and verifying the correctness of the evaluation method,according to the correct test method,the test statistic value was used as the low contrast resolution value of the MRI equipment to test the boundary of the region.The value was used as a baseline value for low contrast resolution to establish a long-term stable quality assurance system. CONCLUSIONS In this paper,the data of the low contrast resolution test on Magphan phantom was in line with practical experience,therefore the test method of low contrast resolution was verified.The baseline value of the indicator can be established based on the detection and evaluation method of low contrast resolution based on phantom,then to ensure the stability of the imaging performance of the system.
Contrast Media ; Magnetic Resonance Imaging ; Phantoms, Imaging

Aiming at the current situation of medical equipment management, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine explored the application of 5G+ Internet of Things and digital twin technology in the intelligent management of medical equipment. Through the intelligent perception terminal, the hospital realized the dynamic acquisition of real data such as the use location, use process and use efficiency of medical equipment, and conducted digital, networked and intelligent monitoring and analysis. At the same time, applications such as medical equipment dynamic management software, medical equipment real-time positioning software, and space environment quality monitoring software were developed. It realized automatic, intelligent and visual management of medical equipment configuration, operation and performance evaluation, achieved fine management based on digital twins, and improved the efficiency of collaborative management of operational resource support.

To improve the level of modern hospital management and establish a scientific and effective medical equipment maintenance guarantee system,this paper proposes the construction of a dynamic interactive fault repair knowledge base system for magnetic resonance imaging(MRI)equipment based on knowledge graph technology.This innovative application of intelligent management for large medical equipment involves collecting and organizing actual maintenance data.The paper constructs the medical equipment maintenance knowledge base,with MRI equipment as a case study,and initially implements functions such as fault information retrieval,technical guidance,and training and learning for MRI equipment.These functions aim to provide an objective decision-making basis for the maintenance and management of large medical equipment,enhance the efficiency of fault repair and maintenance,and elevate the construction level of intelligent hospitals.

Objective To construct an evaluation model system for dynamic data acquisition methods of medical imaging equipment in hospitals.The analytic hierarchy process(AHP)of the multiple criteria decision analysis method is used to study the model.Methods Through multi-criteria decision analysis,the evaluation index system of dynamic data acquisition technology of medical imaging equipment is constructed from aspects such as the reliability and traceability of data acquisition,the interactivity of the acquisition mode,and the extensibility of application analysis.Results A hierarchical evaluation model of dynamic acquisition technology for medical imaging equipment is constructed,which includes 5 primary indexes,14 secondary indexes,and 38 tertiary indexes.Conclusion We have constructed a qualitative and quantitative evaluation index for the dynamic acquisition technology of medical imaging equipment.The weight of the quantitative index"reliability"is 30%,and the weights of the qualitative indexes"security","traceability","interactivity",and"scalability"are 25%,20%,15%,and 10%respectively.It can be used to study the methods and technical characteristics of three kinds of dynamic data acquisition of medical equipment and form a technical evaluation scheme for dynamic data acquisition.

Maintenance and quality control management of large medical equipment is 3-level qualitative index for performance appraisal of tertiary public hospitals, which affects their medical quality directly. Since 2015, Shanghai Medical Equipment and Device Management Quality Control Center and other government organizations have gradually established and improved the quality evaluation index system of large medical equipment maintenance in combination with China′s performance testing standards for large medical equipments and the technical requirements of various manufacturers, and putted the system into application. In 2018, the Quality Control Center further optimized the quality evaluation index system of large medical equipment maintenance by improving the maintenance sheet and service report of large medical equipments, using the " internet+ mobile terminal" to dynamically collect core data of equipment′s full cycle maintenance. This practice has established a regional database of large-scale medical equipment maintenance, building a comprehensive quantitative evaluation indexes. The maintenance quality evaluation scores of mainstream manufacturers of large medical equipments in Shanghai maintained an overall rising trend year by year, and the annual inspection compliance rate of CT and MRI maintenance quality has continued to increase from 2015 to 2021. This evaluation system enables the hospital management departments to supervise the manufacturers to complete their maintenance work at a high quality, ensure the safe operation of large medical equipments, and provide data reference and technical support for the qualitative evaluation of the maintenance quality of medium and large medical equipments in the " national examination" .