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Simulation-based training in robotic surgery education: bibliometric analysis and visualization
Siwei Chen1, Jingjuan Huang1, Lin Zhang1
1Operating Room, The First Affiliated Hospital, Guangzhou Medical University, No 151, Yanjiangxi Rd, Guangdong, 510120, People's Republic of China.
Journal of Robotic Surgery
|August 17, 2024
Summary
This bibliometric analysis reveals key trends in simulation-based robotic surgery training. Research highlights virtual reality, curriculum development, and assessment as crucial for surgical education and the learning curve.
Area of Science:
- Medical Education
- Surgical Technology
- Bibliometrics
Background:
- Simulation-based training offers a controlled environment for surgeons to develop operative skills.
- Robotic surgery necessitates specialized training to ensure proficiency and patient safety.
Purpose of the Study:
- To conduct a bibliometric analysis of simulation-based training in robotic surgical education.
- To identify trends, key contributors, and research hotspots in this field.
Main Methods:
- A comprehensive literature search was performed on the Web of Science Core Collection up to April 25, 2024.
- Bibliometric data, including publication trends, co-authorship, and keyword co-occurrence, were analyzed using Microsoft Excel, VOSviewer, and SCImago Graphica.
Main Results:
- A total of 594 papers were analyzed, with the United States and United Kingdom as leading contributors.
- Professor Ahmed Kamran and Prokar Dasgupta were the most prolific authors. "Surgical Endoscopy and Other Interventional Techniques" published the most papers.
- Key research terms included "virtual reality," "curriculum," "robotic surgery simulator," "assessment," and "learning curve."
Conclusions:
- This study provides a comprehensive overview of global research on simulation-based robotic surgical training.
- It identifies current knowledge, research frontiers, and future directions for enhancing surgical education through simulation.
