Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis.
Background: With the continuous development of the internet and the explosive growth in data, big data technology has emerged. With its ongoing development and application, cloud computing technology provides better data storage and analysis. The development of cloud health care provides a more conv...
| Publicado en: | Journal of Medical Internet Research Vol. 22; no. 2 |
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| Autores principales: | , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
JMIR Publications Inc.
Feb2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=142128579&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 142128579 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14394456 DNC jtl: Journal of Medical Internet Research issn: 14394456 maglogo: N pubinfo: dt: Feb2020 vid: 22 iid: 2 pid: 21567 pub: JMIR Publications Inc. place: Toronto, Ontario artinfo: ui: 142128579 142128579 NLM32130115 142128579 10.2196/15142 NLM32130115 142128579 ppct: 1 formats: tig: atl: Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis. aug: au: Gu, Dongxiao Yang, Xuejie Deng, Shuyuan Liang, Changyong Wang, Xiaoyu Wu, Jiao Guo, Jingjing affil: The School of Management, Hefei University of Technology, Hefei, China sug: subj: Artificial Intelligence Standards Research, Medical Methods Word Processing Methods Human Validation Studies Comparative Studies Evaluation Research Multicenter Studies ab: Background: With the continuous development of the internet and the explosive growth in data, big data technology has emerged. With its ongoing development and application, cloud computing technology provides better data storage and analysis. The development of cloud health care provides a more convenient and effective solution for health. Studying the evolution of knowledge and research hotspots in the field of cloud health care is increasingly important for medical informatics. Scholars in the medical informatics community need to understand the extent of the evolution of and possible trends in cloud health care research to inform their future research.Objective: Drawing on the cloud health care literature, this study aimed to describe the development and evolution of research themes in cloud health care through a knowledge map and common word analysis.Methods: A total of 2878 articles about cloud health care was retrieved from the Web of Science database. We used cybermetrics to analyze and visualize the keywords in these articles. We created a knowledge map to show the evolution of cloud health care research. We used co-word analysis to identify the hotspots and their evolution in cloud health care research.Results: The evolution and development of cloud health care services are described. In 2007-2009 (Phase I), most scholars used cloud computing in the medical field mainly to reduce costs, and grid computing and cloud computing were the primary technologies. In 2010-2012 (Phase II), the security of cloud systems became of interest to scholars. In 2013-2015 (Phase III), medical informatization enabled big data for health services. In 2016-2017 (Phase IV), machine learning and mobile technologies were introduced to the medical field.Conclusions: Cloud health care research has been rapidly developing worldwide, and technologies used in cloud health research are simultaneously diverging and becoming smarter. Cloud-based mobile health, cloud-based smart health, and the security of cloud health data and systems are three possible trends in the future development of the cloud health care field. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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