Objective:To optimize the management of shared medical equipment, decrease the its cost and improve the efficiency of shared the medical device regulatory.Methods: To establish a shared virtual medical equipment management center and management platform on the internet.Results: Through the virtual center and online management, reduce the management cost, enhance regulatory capacity, change the management mode of traditional entity shared center, and save the cost of housing management and personnel.Conclusion: The practice proves that optimization of shared medical equipment can meet the needs of medical sharing, make full use of medical resources, decrease the repeated purchase of medical equipment and investment, and provide scientific management platform for shared medical.

Objective To apply the big data on medical equipment quality inspection to scientific management of medical equipment.Methods The big data on medical equipment metrological verification and quality control were analyzed,and medical equipment performance curve was drawn based on the function on data standard deviation and time.Results The big data provided support for medical equipment bidding and purchase,preventive maintenance and precision benefit analysis.Conclusion Medical equipment big data is of great significance to enhance medical support ability,and contributes to the management of medical equipment and strategic equipment.