摘要
目的 构建临床科研一体化的药品临床综合评价大数据平台,为药品临床综合评价工作的开展提供支持.方法 采用Hadoop和MPP混搭架构,利用流式计算、分布式计算、离线计算、列式存储等技术把各类医疗数据进行统一汇集并批量处理,通过大数据平台的加工处理,将整个数据进行分类分层建模,形成统一的数据集市和数据指标,为后续的海量检索、科研分析、监控预警等提供数据支撑.结果 建成湖南省药品临床综合评价大数据平台,包括可智能化、便捷化检索药品说明书、临床病例和指南的检索系统;集智能检索、统计分析、项目管理、病例搜索等功能于一体的科研服务系统以及可进行伦理审查、项目申请、项目管理、项目成果、经费管理、汇总统计等科研项目管理全流程的项目管理平台.结论 药品临床综合评价大数据平台可以标准化药品临床综合评价工作的路径,对临床用药安全进行监测,推进药品临床综合评价工作的开展.
Abstract
Objective To establish a big data platform for the clinical comprehensive evaluation of drugs,to integrate clinical research,and support the clinical comprehensive drug evaluation.Methods Hadoop and MPP hybrid architecture were used.Stream computing,distributed computing,offline computing,columnar storage,and other technologies were also used to collect and mass process various medical data.Through the big data platform,the entire dataset was classified,stratified,and modeled to create a unified data mart and data indicators.This provided data support for subsequent large-scale retrieval,scientific research analysis,monitoring,and early warning.Results A big data platform for the clinical comprehensive evaluation of drugs in Hunan was established.This platform included a retrieval system that intelligently and conveniently retrieved drug instructions,clinical cases,and guidelines.Additionally,as a scientific research service system,it integrated intelligent retrieval,statistical analysis,project management,case search,and other functions.A project management platform facilitated the entire process of scientific research project management,including ethics review,project application,project management,project outcome,fund management,and statistical summary.Conclusion The big data platform helps standardize the procedure for drug evaluation and monitor the safety of drugs.
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万方数据