摘要
目的:在医疗大数据集成和应用背景下,开发既适合区域集成的合理用药大数据挖掘分析,也适用于医院自身合理用药监测的专业化工具,构筑合理用药监测生态系统。方法:建立基于云端的共享医疗基础信息标准化协作平台,利用内存建立存储数据库,建立数据模型以便灵活、快速地进行数据挖掘和分析,进行自定义、可视化、全方位的合理用药监测。结果:本研究建立了全国区域范围内标准化医疗大数据库。在实现医疗大数据挖掘分析所必须的标准化基础信息的同时,也可实现医院基本用药供应目录的网上监管,便于不同监管层级用户快速应用。结论:全军抗菌药物临床应用数据管理中心以颠覆性的技术和工作模式为区域数据管理中心和医院开展合理用药监测提供了全方位支持,实现了医疗卫生行业信息化建设"统一标准,统一平台,资源共享,互联互通"的目标,构建了合理用药监测生态系统。
Objective:To develop a professional tool both for mining and analysis of regional integrated big data and administration of rational drug use in hospital,and to construct the rational drug use monitoring ecosystem in the background of integration and application of medical big data.Methods:The collaboration platform for basic medical information standardization based on the cloud was established.The database with the memory and the data model for flexible and quick data mining and analysis were built.The user-defined,visualized and all-wave administration of drug use was carried out.Results:The regional national standardized medical database was also established.The standardized basic information for medical big data mining and analysis was realized,meanwhile,the online administration of the supply list of hospital essential drugs was achieved,and it was easy for users at different regulatory levels to operate at a rapid rate.Conclusion:The PLA data management center of clinical application of antibacterials offered all-around supports to regional data administration centers and hospitals for the administration of drug use,achieved the goals of“unified standards,unified platform,resource sharing and interoperability”in infor-mation construction of healthcare industry,thus achieving the construction of the drug-use administration ecosystem.
作者
王辉
杨樟卫
毛旭峰
张丹丹
刘正跃
WANG Hui;YANG ZhangWei;MAO XuFeng;ZHANG DanDan;LIU ZhengYue(Department of Pharmacy,Changhai Hospital,Second Military Medical University,Shanghai 200433,China)
出处
《药学服务与研究》
CAS
2018年第6期419-423,共5页
Pharmaceutical Care and Research
关键词
医疗大数据
数据挖掘
合理用药
监测系统
medical big data
data mining
rational use of drugs
monitoring system
