Visualization Analysis of Clinical Decision Support Research Based on Electronic Medical Records
10.3969/j.issn.1673-6036.2024.06.008
- VernacularTitle:基于电子病历的临床决策支持研究可视化分析
- Author:
Jicheng HUANG
1
;
Dehua HU
;
Yi ZHENG
;
Xusheng WU
;
Yongheng DUAN
;
Jianwei LIU
Author Information
1. 中南大学生命科学学院 长沙 410013
- Keywords:
electronic medical records;
clinical decision support;
knowledge map;
Python;
visualization analysis
- From:
Journal of Medical Informatics
2024;45(6):44-49
- CountryChina
- Language:Chinese
-
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.
