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Review
. 2024 Apr 27;16(4):e59128.
doi: 10.7759/cureus.59128. eCollection 2024 Apr.

Mapping the Landscape of Electronic Health Records and Health Information Exchange Through Bibliometric Analysis and Visualization

Jeena Joseph Jr  1 , Anat Suman Jose  2 , Gilu G Ettaniyil  3 , Jasimudeen S  4 , Jobin Jose  5
Affiliations
Review

Mapping the Landscape of Electronic Health Records and Health Information Exchange Through Bibliometric Analysis and Visualization

Jeena Joseph Jr et al. Cureus. .

Abstract

The adoption of Electronic Health Records (EHRs) and the establishment of Health Information Exchange (HIE) systems have significantly transformed healthcare delivery and management. This study presents a comprehensive bibliometric analysis and visualization of the landscape surrounding EHRs and HIE to provide insights into the current state and emerging trends in this field. Leveraging advanced bibliometric methodologies, including co-citation analysis, keyword co-occurrence analysis, and network visualization techniques, we systematically map the scholarly literature spanning several decades. Our analysis reveals key thematic clusters, influential publications, prolific authors, and collaborative networks within the domain of EHRs and HIE. Furthermore, we identify significant research gaps and areas for future exploration, including interoperability challenges, privacy concerns, and the integration of emerging technologies such as artificial intelligence and blockchain. The findings of this study offer valuable insights for researchers, policymakers, and healthcare practitioners seeking to navigate and contribute to the ongoing evolution of EHRs and HIE systems, ultimately enhancing the quality, efficiency, and accessibility of healthcare services.

Keywords: bibliometric analysis; biblioshiny; electronic health records; health information exchange; vosviewer..

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. The annual scientific production from 2005 to 2024 generated using biblioshiny
Figure 2
Figure 2. The most relevant sources generated using biblioshiny
Figure 3
Figure 3. Three-field plot visualizing the relationship between keywords (DE), authors (AU), and sources (SO) generated using biblioshiny
Figure 4
Figure 4. Co-occurrence of keywords generated using VOSviewer
Figure 5
Figure 5. Co-authorship of countries generated using VOSviewer
See this image and copyright information in PMC

References

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