摘要：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.

摘要：设计了基于物联网与神经网络的医疗设备故障预测系统。物联网技术通过无线传感器等实时采集设备数据,神经网络则利用数据处理能力建立故障预测模型。系统总体设计采用C/S结构和3层架构,确保其性能、安全性和可扩展性。功能模块包括设备管理、数据采集、运行状态展示、故障预测和检修记录,实现对设备的全面管理和维护。该系统能提高医疗设备运行效率,降低故障导致的服务中断和维修成本,为医疗机构设备安全提供可靠保障。

摘要：慢性疾病成为威胁人类健康的主要杀手,需要长期、综合的干预和治疗。中医诊疗遵循“未病先防,既病防变,病后防复”的治病理念,可在慢性疾病发展的不同阶段针对具体情况进行干预。本文采用基于Hadoop的分布式计算平台设计构建中医慢病管理系统,借助于先进的云计算平台、移动互联网和物联网技术,建立区域协同、分级管理的中医慢病管理体系,能够打破空间和时间的限制,实现慢病管理人才和资源的合理调配,使慢病患者在病证发展的各个阶段都能享受到科学、有效、持续、便捷的健康管理服务,从而提升慢病管理的服务质量与效率水平。

摘要：本文研究依托云计算、大数据以及移动互联网等现代信息技术,构建区域协同的中医慢病管理系统,期望建立不同医疗卫生服务机构分工协作、优势互补的合作机制,从而推进慢性病防、治、管整体融合发展。