[1]徐静娟,朱 枫,刘华联.基于CiteSpace的门诊大数据研究趋势及热点可视化分析[J].医学信息,2024,37(14):43-48.[doi:10.3969/j.issn.1006-1959.2024.14.008]
　XU Jing-juan,ZHU Feng,LIU Hua-lian.Research Trend and Hot Spot Visualization Analysis of Outpatient Big Data Based on CiteSpace[J].Journal of Medical Information,2024,37(14):43-48.[doi:10.3969/j.issn.1006-1959.2024.14.008]
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基于CiteSpace的门诊大数据研究趋势及热点可视化分析()

医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
37卷
期数:
2024年14期
页码:
43-48
栏目:
出版信息学
出版日期:
2024-07-15

文章信息/Info

Title:
Research Trend and Hot Spot Visualization Analysis of Outpatient Big Data Based on CiteSpace
文章编号:
1006-1959（2024）14-0043-06
作者:
徐静娟; 朱 枫; 刘华联
（常州市第一人民医院门诊办公室，江苏 常州 213003）
Author(s):
XU Jing-juan;  ZHU Feng;  LIU Hua-lian
(Outpatient Department of Changzhou First People’s Hospital,Changzhou 213003,Jiangsu,China)
关键词:
大数据; 门诊管理; CiteSpace; 可视化分析
Keywords:
Big data; Outpatient management; CiteSpace; Visualization analysis
分类号:
R197.3
DOI:
10.3969/j.issn.1006-1959.2024.14.008
文献标志码:
A
摘要:
目的 基于CiteSpace软件对门诊大数据研究的相关文献进行可视化分析，分析该领域的研究热点和趋势，为今后研究工作开展提供借鉴。方法 在中国知网数据库（CNKI）中，以“大数据”OR“big data”AND“门诊”为主题词，检索从2013年1月-2023年6月的文献。运用CiteSpace对文献的发表时间、作者、机构、期刊、关键词进行可视化分析。结果 ①共纳入224篇文献，每年发文量呈稳步上升趋势，2018和2020年达到最高；②研究主要在信息和管理类的期刊发表；③作者合作网络分析显示，黄绍中、陈纯、黄宇飞、谢小平、张勇发文量较多，陈纯、张勇、谢小平、黄绍中已经形成了稳定的研究团队；④研究机构主要集中在大学及大学附属医疗机构，各团体间的合作并不明显。发文量较多的前5所机构分别为上海交通大学、电子科技大学、福建省医疗保险管理中心、华中科技大学、北京大学第三医院；⑤关键词聚类分析后，形成10个聚类群，分别为大数据、数据挖掘、智慧医疗、疫情防控、门诊、医院、医疗费用、机器学习、管理、电子病历；⑥关键词突现分析显示，研究趋势为数据挖掘、机器学习、传染病防控、门诊电子病历和智慧门诊。结论 大数据已成为门诊管理的研究热点之一，作者、机构之间的协作还需要加强，未来仍需扩展门诊大数据应用场景。
Abstract:
Objective To visually analyze the related literature of outpatient big data research based on CiteSpace, analyze the research hotspots and trends in this field, and provide reference for future research work.Methods The literature from January 2013 to June 2023 were retrieved from CNKI database with the keywords of ‘big data’ AND ‘outpatient’. CiteSpace was used to visualize and analyze the publication time, authors, institutions, journals, and keywords of the literature.Results ①A total of 224 literature were included, and the number of articles published per year showed a steady upward trend, reaching the highest in 2018 and 2020. ②The research literature were mainly published in the journals of information and management. ③The analysis of authors’ collaborative network showed that HUANG Shao-zhong, CHEN Chun, HUANG Yu-fei, XIE Xiao-ping, and ZHANG Yong had more publications, and that CHEN Chun, ZHANG Yong, XIE Xiao-ping, and HUANG Shao-zhong had formed a stable research team. ④The research institutions were mainly concentrated in the universities and university-affiliated medical institutions, and cooperation among groups was not obvious. The top five institutions with the largest number of publications were Shanghai Jiao Tong University, University of Electronic Science and Technology of China, Fujian Medical Insurance Management Center, Huazhong University of Science and Technology, and Peking University Third Hospital. ⑤According to keyword clustering analysis, 10 clusters were formed, which were big data, data mining, intelligent medical healthcare, epidemic prevention and control, outpatient, hospital, medical cost, machine learning, management, and electronic medical records. ⑥According to keyword emergence analysis, the research trends were data mining, machine learning, infectious disease prevention and control, outpatient electronic medical records and intelligent outpatient service.Conclusion Big data has become one of the research hotspots in outpatient service management, and the collaboration between authors and institutes needs to be strengthened. In the future, it is still necessary to expand the application scenarios of outpatient big data.

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更新日期/Last Update: 1900-01-01