Information Architecture and Quality Control for a Multi-system Coordination Platform Managing Loaner Medical Instruments and Implants: A Case of Intelligent Ecosystem Construction
TECHNOLOGICAL INNOVATION|Updated:2025-07-30
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Information Architecture and Quality Control for a Multi-system Coordination Platform Managing Loaner Medical Instruments and Implants: A Case of Intelligent Ecosystem Construction
Sterile SupplyVol. 4, Issue 1, (2025)
Affiliations:
Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
Fan Jianli,Shen Fen,Wang Yajuan,et al.Information Architecture and Quality Control for a Multi-system Coordination Platform Managing Loaner Medical Instruments and Implants: A Case of Intelligent Ecosystem Construction[J].Sterile Supply,2025,04(01):21-29.
DOI:
Fan Jianli,Shen Fen,Wang Yajuan,et al.Information Architecture and Quality Control for a Multi-system Coordination Platform Managing Loaner Medical Instruments and Implants: A Case of Intelligent Ecosystem Construction[J].Sterile Supply,2025,04(01):21-29. DOI: 10.11910/j.issn.2791-2043.2025.1.03.
Information Architecture and Quality Control for a Multi-system Coordination Platform Managing Loaner Medical Instruments and Implants: A Case of Intelligent Ecosystem Construction
Effectively managing and maintaining the quality and safety of loaner medical instruments and implants has become a critical issue in the medical industry due to the rapid advancement of medical instrument technology and the growing variety of implants. Currently
China lacks a complete and mature information platform for managing the full process targeting loaner medical instruments and implants. This study proposes a multi-system coordination-based platform. This platform digitizes the full process targeting loaner medical instruments and implants
breaks down information flow barriers between different business systems
and thereby creates a single multi-system coordination platform for loaner medical instruments and implants by integrating technologies such as the Internet of Things
big data analysis
cloud computing
and artificial intelligence. This achieves life-cycle management of medical instruments and implants. For the purpose of improving the accuracy and reliability of medical instrument management
increasing work efficiency of personnel at all links
and guaranteeing patient safety
the study focuses on constructing an intelligent and efficient information architecture and investigating its applications in quality control.
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Interpretation of the Specifications for safety management and quality control of continuous renal replacement therapy equipment in clinical practice (DB 32/T 4226-2022) and exploration of its test methods
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