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Knowledge Mapping and Global Trends in Simulation in Medical Education: Bibliometric and Visual Analysis
Hongjun Ba1, Lili Zhang2, Xiufang He2
1Department of Pediatrics, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
JMIR Medical Education
|March 26, 2025
Summary
Simulation-based teaching in medical education is a rapidly growing research field, with significant increases in publications since 2009. Key areas include patient simulation and surgical education, with emerging trends in 3D printing and augmented reality.
Area of Science:
- Medical Education
- Health Professions Education
- Simulation Technology
Background:
- Simulation-based teaching is increasingly recognized as vital in medical education.
- Research in this field has experienced rapid development and expansion.
- Understanding global trends and research dynamics is crucial for future advancements.
Purpose of the Study:
- To analyze bibliometric and visualization data of simulation-based teaching in medical education from 2004 to 2024.
- To identify research hotspots, development trends, and key contributors in the field.
- To map the knowledge landscape and collaboration patterns.
Main Methods:
- Bibliometric and visualization analyses of 6743 core journal articles (2004-2024).
- Utilized CiteSpace and VOSviewer for data analysis.
- Examined publication trends, country/institution contributions, author output, keyword co-occurrence, clustering, and burst analysis.
Main Results:
- Annual publications surged from under 100 (2004-2008) to a peak of 850 in 2024.
- Top contributing countries: USA, Canada, UK, Australia, China. Harvard University was a major research hub.
- Key research hotspots included cardiopulmonary resuscitation and surgical education. Emerging frontiers: 3D printing, augmented reality, and simulation training.
Conclusions:
- Simulation-based teaching in medical education is a significant and expanding research area.
- Future research should prioritize interinstitutional collaboration.
- Focus on integrating emerging technologies like 3D printing and AR into simulation training is recommended.
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