Bibliometric Analyses of Digitalization Studies in Health After the Pandemic
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Date
2023
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Yuzuncu Yil Universitesi Tip Fakultesi
Abstract
Introduction: This study aims to analyses the bibliometric analysis of digitalization trends in health after the pandemic. Bibliometric analyses can help us understand global digitalization trends and guide future work. These analyses can provide guidance for researchers and healthcare professionals and can be used to drive faster and more effective change in the digitalization of the healthcare industry. Materials and Method: In this bibliometric study, research on digitalization in health carried out globally between the years 2020-2023 was examined. As a result of the searches using the keyword "digitalization in health” and “Covid-19", 1670 studies were found and 400 articles were used by eliminating the unsuitable and non-article studies. Web of Science and Scopus databases was used for systematic data collection and all text data of the publications included in the study were evaluated with “VOSviewer software”. These analyses were performed using text mining and data visualization methods to ensure the accuracy and reliability of the study. Results: In this article, information is given about 400 articles taken from the databases and 1847 citations to these articles. As of 2021, both the number of articles and the number of citations have increased. Most of the articles (55%) are devoted to health and economics. Germany is the country that publishes the highest number of articles (17.3%) on this subject. Most of the articles (58%) were published by publishers such as MDPI, Springer Nature, Elsevier, Sage and Wiley. Most of the articles (47%) are in the SCI-Expanded category. Conclusion: This bibliometric analysis reveals global trends and key studies in healthcare digitalization and provides important insights into the future directions of research in this area. Since this analysis only aims to identify trends and trends in the literature, it is not intended to evaluate the applicability of this topic. © 2023, Yuzuncu Yil Universitesi Tip Fakultesi. All rights reserved.
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Keywords
Bibliometric Review, Bioinformatics, Digitalization In Health
Turkish CoHE Thesis Center URL
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Source
Van Medical Journal
Volume
30
Issue
3
Start Page
300
End Page
305