基于电子病历的临床决策支持研究可视化分析  

Visualization Analysis of Clinical Decision Support Research Based on Electronic Medical Records

作　　者：黄济成 胡德华[1] 郑懿 吴旭生 段永恒 刘建炜[1] HUANG Jicheng;HU Dehua;ZHENG Yi;WU Xusheng;DUAN Yongheng;LIU Jianwei(School of Life Sciences,Central South University,Changsha 410013,China;Shenzhen Health Development Research and Data Management Center,Shenzhen 518028,China)

机构地区：[1]中南大学生命科学学院,长沙410013 [2]深圳市卫生健康发展研究和数据管理中心,深圳518028

出　　处：《医学信息学杂志》2024年第6期44-49,共6页Journal of Medical Informatics

基　　金：湖南省重点领域研发项目(项目编号:2021WK2003);深圳市卫生健康发展研究和数据管理中心项目(项目编号:HFW202300145)。

摘　　要：目的/意义探讨基于电子病历的临床决策支持领域研究现状、研究热点与前沿。方法/过程基于文献计量方法,运用CiteSpace 6.2.R2软件绘制国家/地区分布、作者合作、机构合作、关键词共现和聚类科学知识图谱进行可视化分析,通过Python进行聚类热度挖掘与分析。结果/结论基于电子病历数据的临床决策支持领域呈现快速发展态势,美国、中国为主要研究国家,国内外机构之间存在较强合作关系,关键词主要涉及电子病历、人工智能等。Purpose/Significance To explore the research status,research hotspots and frontiers in the field of clinical decision support based on electronic medical records(EMR).Method/Process The bibliometric method and CiteSpace 6.2.R2 software are used to draw scientific knowledge graph of country/region distribution,author cooperation,institutional cooperation,keyword co-occurrence and clustering for visualized comparative analysis.Python is used for clustering hotspot mining and analysis.Result/Conclusion The field of clinical decision support based on EMR data shows a rapid development trend,with the United States and China as the main research countries and strong cooperation between domestic and foreign institutions.The keywords mainly involve EMR,artificial intelligence(AI),etc.

关 键 词：电子病历 临床决策支持 知识图谱 PYTHON 可视化分析 

分 类 号：R-058[医药卫生]