ArticleJournal of medical Internet research2020
Tracking Knowledge Evolution in Cloud Health Care Research: Knowledge Map and Common Word Analysis.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Rehabilomics Strategies Enabled by Cloud-Based Rehabilitation: Scoping Review.Journal of medical Internet research · 2025Article
- The Impact of Linguistic Signals on Cognitive Change in Support Seekers in Online Mental Health Communities: Text Analysis and Empirical Study.Journal of medical Internet research · 2025Article
- A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study.JMIR formative research · 2023Article
- Article
- How Do COVID-19 Risk, Life-Safety Risk, Job Insecurity, and Work-Family Conflict Affect Miner Performance? Health-Anxiety and Job-Anxiety Perspectives.International journal of environmental research and public health · 2023Article
- Review
- What Causes Health Information Avoidance Behavior under Normalized COVID-19 Pandemic? A Research from Fuzzy Set Qualitative Comparative Analysis.Healthcare (Basel, Switzerland) · 2022Article
- Bibliometric Analysis of Health Technology Research: 1990~2020.International journal of environmental research and public health · 2022Article
- A Research Based on Online Medical Platform: The Influence of Strong and Weak Ties Information on Patients' Consultation Behavior.Healthcare (Basel, Switzerland) · 2022Article
- Trust-Based Research: Influencing Factors of Patients' Medical Choice Behavior in the Online Medical Community.Healthcare (Basel, Switzerland) · 2022Article
- Artificial intelligence-based internet hospital pharmacy services in China: Perspective based on a case study.Frontiers in pharmacology · 2022Article
- Emerging Trends and Thematic Evolution of Breast Cancer: Knowledge Mapping and Co-Word Analysis.JMIR cancer · 2021Article
- Bibliometrics and Visual Analysis of the Research Status and Trends of Postpartum Depression From 2000 to 2020.Frontiers in psychology · 2021Article
- Knowledge Graph Analysis of Human Health Research Related to Climate Change.International journal of environmental research and public health · 2020Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWith 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.
objectiveDrawing 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.
methodsA 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.
resultsThe 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.
conclusionsCloud 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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.