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基于科学知识图谱的重大灾害医学救援领域研究态势分析
引用本文:李芳薇,王磊,张妍,程瑾.基于科学知识图谱的重大灾害医学救援领域研究态势分析[J].中华医学图书情报杂志,2017,26(11):44-48.
作者姓名:李芳薇  王磊  张妍  程瑾
作者单位:解放军医学图书馆,北京 100039,解放军医学图书馆,北京 100039,解放军医学图书馆,北京 100039,解放军医学图书馆,北京 100039
基金项目:中国工程院咨询研究重点项目“重大灾害应急医疗救治体系建设战略研究”(2015-XZ-06)
摘    要:目的:通过对国内外重大灾害医学救援领域研究文献的调研和对比研究,分析重大灾害医学救援发展态势,对重点技术等发展趋势提出技术发展预测,对我国发展灾害医学救援的资源配置和技术培训模式提出构想和建议。方法:检索Web of Science 核心合集数据库中1995-2017年有关灾害医学救援的文献,采用TDA和VOSVIEWER科学知识图谱工具分析相关题录数据。结果:共获取灾害医学救援研究外文题录1 333条,分析得出89个高频共现关键词,7个大类。结论:我国在重大灾害医学救援研究中处于优势的是挤压综合症、创伤后应激综合症、骨折、脊髓损伤、康复、检伤分类及野战医院等方面的研究,而在远程医疗、通信、儿科、灾区人员识别及教育方面研究仍有欠缺。我国应加强灾害救援体系建设,深化救援理念、技术及装备的研究,拓展应急医学救援培训模式等。

关 键 词:灾害医学  医学救援  演进路径  研究热点  研究前沿  可视化  知识图谱
收稿时间:2017/10/15 0:00:00

Scientific knowledge mapping-based visual analysis of research trend in major disaster medical rescue
LI Fang-wei,WANG Lei,ZHANG Yan and CHENG Jin.Scientific knowledge mapping-based visual analysis of research trend in major disaster medical rescue[J].Chinese Journal of Medical Library and Information Science,2017,26(11):44-48.
Authors:LI Fang-wei  WANG Lei  ZHANG Yan and CHENG Jin
Affiliation:Medical Library of Chinese PLA, Beijing 100039, China,Medical Library of Chinese PLA, Beijing 100039, China,Medical Library of Chinese PLA, Beijing 100039, China and Medical Library of Chinese PLA, Beijing 100039, China
Abstract:Objective To analyze the development trend of global and domestic major disaster medical rescue, predict the development trend of key technologies in major disaster medical rescue, and put forward suggestions for the distribution of resources and technical training model in domestic major disaster medical rescue by investigating and comparing the researches in domestic major disaster medical rescue.Methods Data of disaster medical rescue were analyzed using the scientific knowledge mapping analysis tools (TDA and VOSVIEWER) with the Web of Science Database-covered titles of papers on disaster medical rescue in 1995-2017 as the study objects.Results A total of 1333 titles of papers on disaster medical rescue were retrieved from the Web of Science Database, from which 89 high frequency co-occurrence key words in 7 major categories were selected.Conclusion The research on crush syndrome, posttraumatic stress syndrome, fracture, spinal cord injury, rehabilitation, casualty classification, and field hospital is advantageous over that on telemedicine, communication, pediatrics, personal identification and education in domestic major disaster medical rescue. Disaster rescue system should be established, research on disaster rescue concept, techniques and equipments should be deepened, and training model of emergency medical rescue should be expanded in our country.
Keywords:Disaster medicine  Medical rescue  Evolution path  Research hotspots  Research frontier  Visualization  Knowledge mapping
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