Visualization Analysis of Clinical Decision Support Research Based on Electronic Medical Records
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.
electronic medical recordsclinical decision supportknowledge mapPythonvisualization analysis
NETL
NSTL
万方数据
