Medical equipment full life cycle management system based on digital twinning technology

Through digital twin technology, digital models of medical equipment are built, real-time monitoring and optimization management are solved, and the problems of frequent equipment failures and resource waste in traditional medical equipment management are achieved, efficient use and cost control of equipment, and the quality of medical services is improved.

CN120496766APending Publication Date: 2025-08-15LESHAN NORMAL UNIV +1
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Patent Information

Application Number
CN202510564210.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-04-30
Publication Date
2025-08-15

AI Technical Summary

Technical Problem

The traditional medical equipment management method lacks real-time data support, resulting in frequent equipment failures, inefficient use, serious waste of resources, and inability to scientifically guide equipment procurement and maintenance.

Method used

Digital twin technology is used to build a digital model of medical equipment, monitor and analyze the equipment status in real time, and combine intelligent data collection, fault prediction and optimization management to form a digital management system for the entire life cycle.

Benefits of technology

Real-time status monitoring of equipment is realized, fault rate and maintenance frequency is reduced, maintenance and procurement strategies are optimized, equipment usage efficiency is improved, operating costs are reduced, and medical service quality is improved.

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Abstract

The invention discloses a medical equipment full-life-cycle management system based on a digital twinning technology. The medical equipment full-life-cycle management system comprises four modules. The digital twinborn model construction module constructs and updates a simulation medical equipment digital model in real time; the intelligent data acquisition and monitoring module is responsible for data acquisition, transmission, monitoring and interface design; the intelligent decision and maintenance module realizes fault prediction, maintenance plan generation and record management; and the comprehensive analysis and optimization management module performs data analysis, optimization decision and life cycle planning. The system has the remarkable advantages that when equipment is used, the running state of the equipment is adjusted in time through real-time monitoring and intelligent analysis, and the fault rate and the maintenance and replacement frequency are reduced; in the aspect of cost control, a maintenance strategy and a purchase decision are optimized, and expenditure is reduced; at the medical service quality level, stable and efficient operation of equipment is guaranteed, patient safety is improved, and reasonable utilization of medical resources is achieved.
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