Bibliographic analysis of scientific literature on health knowledge management

Authors

DOI:

https://doi.org/10.47909/978-9916-9331-4-5.117

Keywords:

co-occurrence, health knowledge management, bibliographic analysis, data science, research trends, data visualization

Abstract

This study utilized a scientometric approach to examine the landscape of health knowledge management (HKM), employing co-occurrence analysis to map thematic developments from 1990 to 2023. The data were retrieved from Web of Science and PubMed, and subsequently analyzed using VOSviewer and Excel 2019 to identify key patterns and collaborations. The findings indicated that the United States was a leader in research output, with Wright A and Sittig DF being particularly influential contributors. The co-occurrence map was comprised of four primary clusters: (1) the impact of the Coronavirus 2019 (COVID-19) on health information management, (2) strategies to enhance healthcare performance and systems, (3) electronic medical records and related challenges, and (4) advancements in big data, Internet technologies, and foundational research. These clusters underscored pivotal domains that influenced HKM, accentuating the significance of effective knowledge management methodologies, particularly in the context of technological and global health transformations. The study emphasized the necessity of strategic resource allocation, investment in technological infrastructure, and international collaboration to enhance healthcare outcomes through effective knowledge dissemination and management.

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References

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Published

31-10-2025

How to Cite

Ghalavand, H., Varmazyar, R., & Shirshahi, S. (2025). Bibliographic analysis of scientific literature on health knowledge management . Advanced Notes in Information Science, 8, 236–256. https://doi.org/10.47909/978-9916-9331-4-5.117

Issue

Vol. 8 (2025): Artificial Intelligence and Data Science Practices in Scientific Development

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Chapters

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Copyright (c) 2025 Hossein Ghalavand, Reza Varmazyar, Saied Shirshahi

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