Objective:To construct a multi-dimensional life-cycle management(MDLM)of medical equipment based on fast Fourier transform-convolutional neural network(FFT-CNN),so as to provide data support for the life-cycle management of medical equipment and its multi-dimensional derivation.Methods:The MDLM system of medical equipment was constructed by setting display layer of comprehensive information,data extension layer of multi business,data layer of life cycle of equipment,data acquisition layer.The FFT-CNN algorithm was adopted to mapping characteristic data of operating medical equipment as business data of hospital,and then,they were derived to operational management indicators of hospital from 6 dimensions included carbon trajectory,operation and maintenance trajectory,benefit trajectory,safety trajectory,performance trajectory and assessment trajectory.The data prober of artificial internet of things(AIoT),and pattern recognition and indicator derivation of FFT-CNN were adopted to conduct comprehensively digital transformation management for life-cycle of medical equipment.The management data that MDLM system were applied in the medical equipment of Baoying People's Hospital from August 2023 to April 2024 were selected to compare the efficiency of maintaining magnetic resonance(MR)equipment of hospital before and after the system was applied.Results:The MDLM system of medical equipment realized the life-cycle management for medical equipment in eight stages included demand,procurement,installation,archiving,operation,monitoring,maintenance and scrapping,and realized the use of"the extended data of energy consumption management,operation and maintenance management,efficiency management,safety management,performance management and assessment management that derived from the indicators of 6 dimensions"in conducting routine management for medical equipment of hospital.The average repair time of the failure of MR equipment of hospital has been decreased from 6.8 hours before the system was applied to 2.3 hours after it was applied,which significantly improved the efficiency of operation and maintenance,and the availability efficiency of the equipment.Conclusion:The FFT-CNN-based MDLM system of medical equipment has established special database of life-cycle management for medical equipment,which can provide multi-dimensionally objective,complete and relevant data support for lean management for medical equipment of hospital,and can improve the efficiency of operating and maintaining equipment.

Objective:To construct a multi-dimensional life-cycle management(MDLM)of medical equipment based on fast Fourier transform-convolutional neural network(FFT-CNN),so as to provide data support for the life-cycle management of medical equipment and its multi-dimensional derivation.Methods:The MDLM system of medical equipment was constructed by setting display layer of comprehensive information,data extension layer of multi business,data layer of life cycle of equipment,data acquisition layer.The FFT-CNN algorithm was adopted to mapping characteristic data of operating medical equipment as business data of hospital,and then,they were derived to operational management indicators of hospital from 6 dimensions included carbon trajectory,operation and maintenance trajectory,benefit trajectory,safety trajectory,performance trajectory and assessment trajectory.The data prober of artificial internet of things(AIoT),and pattern recognition and indicator derivation of FFT-CNN were adopted to conduct comprehensively digital transformation management for life-cycle of medical equipment.The management data that MDLM system were applied in the medical equipment of Baoying People's Hospital from August 2023 to April 2024 were selected to compare the efficiency of maintaining magnetic resonance(MR)equipment of hospital before and after the system was applied.Results:The MDLM system of medical equipment realized the life-cycle management for medical equipment in eight stages included demand,procurement,installation,archiving,operation,monitoring,maintenance and scrapping,and realized the use of"the extended data of energy consumption management,operation and maintenance management,efficiency management,safety management,performance management and assessment management that derived from the indicators of 6 dimensions"in conducting routine management for medical equipment of hospital.The average repair time of the failure of MR equipment of hospital has been decreased from 6.8 hours before the system was applied to 2.3 hours after it was applied,which significantly improved the efficiency of operation and maintenance,and the availability efficiency of the equipment.Conclusion:The FFT-CNN-based MDLM system of medical equipment has established special database of life-cycle management for medical equipment,which can provide multi-dimensionally objective,complete and relevant data support for lean management for medical equipment of hospital,and can improve the efficiency of operating and maintaining equipment.