Nana-Yaw Bonsu
Papers
1
Total Citations
6
H-Index
1
About
Dr. Nana-Yaw Bonsu is a pioneering surgical educator and researcher whose work is reshaping how robotic surgery skills are taught and evaluated. His primary research areas include competency-based surgical assessment, robotic surgery training, and the integration of simulation into surgical curricula. Dr. Bonsu’s most notable contribution is the development of the Competency-Based Assessment of Robotic Surgery Skills (CARS) scale, a novel tool designed to objectively evaluate general surgery residents’ proficiency in robotic procedures. This work, published in 2024, has already garnered 6 citations, signaling its rapid adoption as a foundational framework for surgical training programs. By moving beyond traditional time-based metrics, Dr. Bonsu’s scale enables more precise, skill-focused feedback, directly addressing a critical gap in robotic surgery education. His research not only advances patient safety by ensuring surgeons meet rigorous competency standards but also provides a scalable model for other procedural specialties. As a rising voice in surgical innovation, Dr. Bonsu’s contributions are shaping the next generation of robotic surgeons, making his work essential reading for anyone interested in the future of surgical training and assessment.
Research Focus
Key Achievements
Top Papers
- 1