基于知识图谱的医疗设备全生命周期管理系统的设计
Design of Life-Cycle Management System of Medical Equipment Based on Knowledge Graph

医疗设备安全高效运行是医疗服务质量的基础。随着医疗技术进步，医疗机构对设备依赖加深，但设备种类繁多、管理复杂。知识图谱作为人工智能技术，可为医疗设备全生命周期管理提供支持，实现智能化功能如监测、诊断、评估等。构建知识图谱需建立数据模型、抽取知识和融合不同来源信息。本研究设计了基于知识图谱的医疗设备全生命周期管理系统，由系统层、数据层、知识图谱层、应用层和分析层组成，实现了设备监测、故障诊断、健康评估、寿命预测和维修决策等功能，提高了管理效率和准确性。基于知识图谱的医疗设备全生命周期管理为提升医疗服务质量和患者满意度奠定了基础，并随着技术进步将迎来更广泛应用和深入发展。
The safe and efficient operation of medical equipment is the basis of medical service quality. With the progress of medical technology, medical institutions rely more on equipment, but there are many kinds of equipment and complex management. As an artificial intelligence technology, knowledge graph can provide support for the life-cycle management of medical equipment and realize intelligent functions such as monitoring, diagnosis and evaluation. The construction of knowledge graph requires the establishment of data model, the extraction of knowledge and the fusion of information from different sources. In this study, a life-cycle management system for medical equipment based on knowledge graph was designed, which was composed of system layer, data layer, knowledge graph layer, application layer and analysis layer, and realized functions such as equipment monitoring, fault diagnosis, health assessment, life prediction and maintenance decision, and improved management efficiency and accuracy. The life-cycle management of medical devices based on knowledge graph has laid the foundation for improving the quality of medical services and patient satisfaction, and will usher in more extensive application and in-depth development with the progress of technology.