Research on Construction of Knowledge Base for MRI Equipment Maintenance Based on Knowledge Graph
10.12455/j.issn.1671-7104.230722
- VernacularTitle: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
- Author:
Chengchen CHU
1
;
Zhiyong JI
;
Bin LI
Author Information
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
- Keywords:
large medical equipment;
knowledge graph;
intelligent maintenance management
- From:
Chinese Journal of Medical Instrumentation
2024;48(5):544-548
- CountryChina
- Language:Chinese
-
Abstract:
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.
