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
黄济成 1胡德华 1郑懿 1吴旭生 2段永恒 2刘建炜1
作者信息
- 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
- 折叠
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.
Abstract
Purpose/Significance To explore the research status,research hotspots and frontiers in the field of clinical decision sup-port 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Key words
electronic medical records/clinical decision support/knowledge map/Python/visualization analysis引用本文复制引用
基金项目
湖南省重点领域研发项目(2021WK2003)
深圳市卫生健康发展研究和数据管理中心项目(HFW202300145)
出版年
2024
NETL
NSTL
万方数据