基于知识图谱的磁共振成像设备维修维护知识库构建研究  

Research on Construction of Knowledge Base for MRI Equipment Maintenance Based on Knowledge Graph

作　　者：储呈晨 季智勇 李斌[1] CHU Chengchen;JI Zhiyong;LI Bin(Department of Medical Equipment,Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai,200233)

机构地区：[1]上海交通大学医学院附属第六人民医院医学装备处,上海市200233

出　　处：《中国医疗器械杂志》2024年第5期544-548,共5页Chinese Journal of Medical Instrumentation

基　　金：国家重点研发计划资助(2022YFC2407006);上海市第六人民医院院级课题(Lygl2023021)。

摘　　要：为了提升医院现代化管理水平,建立科学、有效的医疗设备维护保障体系,该研究通过构建基于知识图谱技术的磁共振成像设备可动态交互的故障检修知识库系统,实现了大型医用设备智慧管理的创新应用。通过对实际维修数据的收集与整理,构建了一个以磁共振成像设备为例的医疗设备维修维护知识库,并初步实现了故障信息检索、技术指导以及培训学习等功能。这些功能为大型医用设备的维护管理提供了客观的决策依据,提高了故障维修维护的效率,并且提升了智慧化医院的建设水平。To improve the level of modern hospital management and establish a scientific and effective medical equipment maintenance guarantee system,this paper proposes the construction of a dynamic interactive fault repair knowledge base system for magnetic resonance imaging(MRI)equipment based on knowledge graph technology.This innovative application of intelligent management for large medical equipment involves collecting and organizing actual maintenance data.The paper constructs the medical equipment maintenance knowledge base,with MRI equipment as a case study,and initially implements functions such as fault information retrieval,technical guidance,and training and learning for MRI equipment.These functions aim to provide an objective decision-making basis for the maintenance and management of large medical equipment,enhance the efficiency of fault repair and maintenance,and elevate the construction level of intelligent hospitals.

关 键 词：大型医用设备 知识图谱 智能维护管理 

分 类 号：R197.39[医药卫生—卫生事业管理] TH77[医药卫生—公共卫生与预防医学]