Visualizing the intellectual structure and evolution of electronic health and telemedicine research.

Background: In recent years, the development and application of emerging information technologies, such as artificial intelligence, cloud computing, Internet of Things, and wearable devices, has expanded the content of electronic health (e-health). Electronic health has become a research focus, but...

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Publicado en:International Journal of Medical Informatics Vol. 130
Autores principales: Gu, Dongxiao, Li, Tongtong, Wang, Xiaoyu, Yang, Xuejie, Yu, Zhangrui
Formato: research Journal Article
Publicado: Elsevier B.V. Oct2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Oct2019
      vid: 130
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      pub: Elsevier B.V.
      place: New York, New York
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        10.1016/j.ijmedinf.2019.08.007
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        atl: Visualizing the intellectual structure and evolution of electronic health and telemedicine research.
      aug:
        au:
          Gu, Dongxiao
          Li, Tongtong
          Wang, Xiaoyu
          Yang, Xuejie
          Yu, Zhangrui
        affil: The School of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, Anhui 230009, China
      sug:
        subj:
          Bibliometrics
          Data Mining Methods
          Telemedicine Trends
          Medical Informatics Trends
          Research, Medical Trends
          Resource Databases
          Europe
          Artificial Intelligence
          Human
          Validation Studies
          Comparative Studies
          Evaluation Research
          Multicenter Studies
          Ferrans and Powers Quality of Life Index
          Scales
      ab: Background: In recent years, the development and application of emerging information technologies, such as artificial intelligence, cloud computing, Internet of Things, and wearable devices, has expanded the content of electronic health (e-health). Electronic health has become a research focus, but few studies have explored its knowledge structure from a global perspective.Methods: To detect the evolution track, knowledge base and research hotspots of e-health, we conducted a series of bibliometric analyses on the retrieved 3,085 papers from the Web of Science core database in 1992-2017. We used several bibliometric tools, such as HistCite, CiteSpace, NetDraw, and NEViewer, to describe the evolution process, time-and-space knowledge map, and hotspots in e-health.Results: The research results are as follows. (a) The number of publications has been obviously increasing after 2005 and according to the trend line it is expected to continue increase exponentially in the future. (b) Countries/regions conducting e-health research have close cooperative relationship, among which European countries have the closest cooperation. (c) Electronic health records, mobile health and health information technology are research hotspots in electronic health. Moreover, scholars also pay attention to the hot issues such as privacy, security, and quality improvement.Conclusions: Electronic health is a large and growing field with quite a number of research articles in medical journals. This study provides a comprehensive knowledge structure of electronic health for scholars in the healthcare informatics field, which can help them quickly grasp research hotspots and choose future research projects.
      pubtype: Academic Journal
      doctype:
        research
        Journal Article
      ougenre: Article
    language: English
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