面向临床数据中心的信息检索研究与应用  

Research and Application of Information Retrieval for Clinical Data Center

作　　者：武学鸿[1,2] 朱建平 李建华 WU Xue-hong;ZHU Jian-ping;LI Jian-hua(School of Computer Science and Engineering,Central South University,Changsha 410083,Hunan,China;Hunan Keyiyun Health Technology Co.,Ltd,Changsha 410012,Hunan,China;Hunan Creator Information Technology Co.,Ltd,Changsha 410012,Hunan,China)

机构地区：[1]中南大学计算机学院,湖南长沙410083 [2]湖南科医云健康科技有限公司,湖南长沙410012 [3]湖南科创信息技术股份有限公司,湖南长沙410012

出　　处：《医学信息》2022年第2期10-14,30,共6页Journal of Medical Information

基　　金：国际科技创新合作基地项目(编号:2019CB1007)。

摘　　要：临床数据中心往往具有数据量大、关联关系复杂、数据增长快、主题多样性等特征,从中准确、高效的检索出相关信息是一项具有挑战的工作。本文提出了一种基于分布式搜索引擎的临床数据信息检索方法,以病案首页信息为核心,结合其关联的检验、文书、医嘱、费用、手术、诊断、检查信息构建了面向主题的父子关联索引模型,并提出了针对索引的优化方法,该方法能够提供有效的临床数据信息检索服务,可快速为临床医生、科研人员等提供准确的临床信息。Clinical data centers often have the characteristics of large amount of data,complex correlation,rapid data growth and subject diversity.It is a challenging work to retrieve relevant information accurately and efficiently.This paper proposes a clinical data information retrieval method based on distributed search engine,taking the home page information of medical records as the core,combined with its associated examinations,documents,advices,expenses,operation,diagnosis and inspection information constructs a topic-oriented parent-child index model,and puts forward an optimization method for the index.The results of clinical data analysis show that this method can provide effective clinical data information retrieval services,and can provide clinicians and researchers with a fast and accurate way to obtain information and tap value from it.

关 键 词：临床数据中心 大数据 搜索引擎 索引模型 

分 类 号：R197[医药卫生—卫生事业管理]