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Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis.

Dongxiao Gu1, Xuejie Yang1, Shuyuan Deng2

  • 1The School of Management, Hefei University of Technology, Hefei, China.

Journal of Medical Internet Research
|March 5, 2020
PubMed
Summary

This study analyzes cloud health care research evolution using knowledge maps. Key trends include cost reduction, security, big data integration, and emerging smart and mobile health technologies.

Keywords:
cloud computingcloud health careco-word analysiscybermetricshealth care informatics

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Area of Science:

  • Medical Informatics
  • Health Services Research
  • Information Technology in Healthcare

Background:

  • The internet and big data have driven the development of cloud computing.
  • Cloud computing offers enhanced data storage and analysis for healthcare.
  • Cloud healthcare provides convenient and effective health solutions, necessitating research evolution studies.

Purpose of the Study:

  • To describe the development and evolution of research themes in cloud healthcare.
  • To identify research hotspots and their evolution using knowledge maps and common word analysis.
  • To inform medical informatics scholars about cloud healthcare research trends.

Main Methods:

  • A total of 2878 cloud healthcare articles were retrieved from the Web of Science database.
  • Cybermetrics was used to analyze and visualize keywords from the selected articles.
  • Knowledge mapping and co-word analysis were employed to illustrate research evolution and hotspots.

Main Results:

  • Phase I (2007-2009): Focus on cost reduction using grid and cloud computing.
  • Phase II (2010-2012): Emergence of interest in cloud system security.
  • Phase III (2013-2015): Integration of big data for health services via medical informatization.
  • Phase IV (2016-2017): Introduction of machine learning and mobile technologies.

Conclusions:

  • Cloud healthcare research is rapidly advancing globally.
  • Technologies in cloud health research are diversifying and becoming more intelligent.
  • Future trends include cloud-based mobile health, smart health, and enhanced data/system security.