摘要
目的为了实现医疗器械信息的静态管理和动态管理,设计一种基于数据驱动模型的医疗器械信息综合管理系统。方法系统的信息采集层利用AXIe高速数据采集传输接口,采集和存储医疗器械信息后,将采集到的信息传送至数据驱动层;数据驱动层利用驱动引擎、挖掘引擎和基于误差反馈的数据清洗方法,清洗接收到的信息并将其存储至数据仓库中;应用管理层整合数据仓库中的信息,依据用户的需求利用相应的接口获取所需的相关服务,查询、调整以及更新医疗器械信息。结果测试结果表明,该系统DB指数均在0.35以下,写入带宽标准均低于0.004 Mbps,序列插补平均相对误差均在0.4以下,具备良好的信息聚类效果、远程写入性能以及更新、修改、调用等操作功能。结论可实现信息的静态管理和动态管理,能够为医疗器械信息管理领域进一步发展奠定坚实的基础。
Objective To realize the static and dynamic management of medical device information,a medical device information integrated management system based on data-driven model is designed.Methods The information acquisition layer of the system used the AXIe high-speed data acquisition and transmission interface to collect and store the medical device information,and then transmit the collected information to the data drive layer.The data-driven layer cleaned the received information and stored it in the data warehouse by using the driving engine,mining engine and data cleaning method based on error feedback.The application management layer integrated the information in the data warehouse,used the corresponding interface to obtain the required relevant services,query,adjust and update the medical device information according to the needs of users.Results The test results showed that the DB index of the system was below 0.35,the write bandwidth standard was below 0.004 Mbps,and the average relative error of sequence interpolation was below 0.4.It had good information clustering effect,remote write performance,update,modification,call and other operation functions.Conclusion The system can realize static and dynamic management of information.It can lay a solid foundation for the further development of medical device information management.
作者
孙国君
SUN Guojun(Department of Asset Management,Shanghai Children’s Medical Center,School of Medicine,Shanghai Jiao Tong University,Shanghai 200127,China)
出处
《中国医疗设备》
2022年第3期92-96,共5页
China Medical Devices
关键词
数据驱动模型
医疗器械信息
综合管理
驱动引擎
挖掘引擎
数据清洗
data driven model
medical device information
comprehensive management
drive engine
mining engine
data cleaning
