A system for managing the whole life cycle of operating room medical equipment

By integrating intelligent predictive maintenance, reliable data traceability, and cross-regional resource collaboration systems, the system enables full lifecycle management of operating room medical equipment, solving the problem of incomplete management in existing technologies, improving equipment management efficiency and safety, optimizing resource allocation, and reducing costs.

CN122117295APending Publication Date: 2026-05-29XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
XIEHE HOSPITAL ATTACHED TO TONGJI MEDICAL COLLEGE HUAZHONG SCI & TECH UNIV
Filing Date
2026-03-18
Publication Date
2026-05-29

AI Technical Summary

Technical Problem

Existing technologies lack comprehensive intelligent management of the entire lifecycle of operating room medical equipment, resulting in low management efficiency, suboptimal resource allocation, high costs, insufficient safety, and poor compliance.

Method used

By adopting an intelligent predictive maintenance system, a trusted data traceability system, and a cross-regional resource collaboration system, the system integrates full lifecycle management of equipment and uses machine learning, blockchain technology, and RFID technology to achieve equipment status monitoring, encrypted data storage, resource allocation, and compliance verification.

Benefits of technology

It has improved the efficiency and accuracy of equipment management, optimized resource allocation, reduced costs, and enhanced the quality and safety of medical services, in accordance with relevant regulations and industry standards.

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Abstract

The application discloses a kind of operating room medical equipment whole life cycle management system, it is related to medical equipment management technical field, including intelligent prediction operation and maintenance system, credible data traceability system, cross-regional resource coordination system, intelligent prediction operation and maintenance system are used to collect the operation data of equipment and utilize machine learning algorithm to predict equipment failure, realize fault problem discovery and equipment maintenance arrangement;Credible data traceability system is used to be based on block chain technology, the data in the whole life cycle of equipment is encrypted storage and chain record, and the data of each use link is verified by time stamp and digital signature;Cross-regional resource coordination system is used to realize the unified management and dynamic allocation of multiple hospital area equipment resources by cloud platform, and according to the equipment use condition of each hospital area, the idle and shortage of equipment are analyzed, and resource allocation scheme is automatically generated.The present application can effectively realize the whole life cycle management of operating room medical equipment.
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