Electronic Medical Record in TCM Field-An Analysis Based on Scientific Knowledge Visualization
10.3969/j.issn.1005-5304.2017.01.024
- VernacularTitle:中医电子病历研究领域科学知识图谱分析
- Author:
Guang RONG
;
Qingyu XIE
;
Qinggang MENG
- Keywords:
TCM electronic medical record;
keyword cluster;
co-author;
co-institute;
knowledge graph
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2017;24(1):99-104
- CountryChina
- Language:Chinese
-
Abstract:
ObjectiveTo assess China’s newly evolved hot spots and novelty of structural electronic medical record in TCM field.Methods Articles about electronic medical record in TCM field were retrieved from CNKI from January 2000 to December 2015, focusing on researchers, research institutes, and key words for bibliometric analysis. Then visualization software CiteSpace was used to establish co-occurrence network.ResultsThe top 3 productive authors were LIU Bao-yan (13 articles), ZHANG Run-shun (8 articles), XIE Qi (7 articles), and ZHOU Xue-zhong (7 articles). Institutes highly cooperated with others included China Academy of Chinese Medical Sciences, Information Engineering College of Hubei University of Chinese Medicine and The First Affiliated Hospital of Henan University of Chinese Medicine. The major clusters were TCM diagnosis (#0), China’s TCM information (#1), artificial intelligence (#2), medical record management (#3), and medical laboratory department (#4). The representative keywords involved electronic medical record, TCM hospital, data mining, telemedicine, and artificial intelligence. ConclusionIn the field of TCM electronic medical record, cooperation is not sufficiently facilitated among researchers and institutes. Research hot spots are not formed and novelty is not obvious, which is probably because of the overall status quo for China’s TCM information construction.
