Alexis Graham-Stephenson
Papers
1
Total Citations
33
H-Index
1
About
Alexis Graham-Stephenson is a pioneering figure at the intersection of robotic surgery and medical education, best known for developing a multidisciplinary, virtual reality-based curriculum for the Da Vinci Skills Simulator. Her landmark 2022 paper, cited over 30 times, introduced an automated assessment framework using the Intuitive Learning platform to track and standardize the acquisition of basic robotic skills. This work directly addresses a critical gap in surgical training by replacing subjective evaluations with objective, data-driven progress metrics. Graham-Stephenson’s contributions have been instrumental in shaping how institutions integrate simulation into residency programs, making robotic training more accessible and measurable. Her research not only enhances technical proficiency but also emphasizes the importance of cross-disciplinary collaboration, bridging engineering, computer science, and clinical practice. By providing a validated roadmap for curriculum design, she has helped accelerate the safe adoption of robotic-assisted surgery. For students and researchers in surgical education, her work represents a foundational model for leveraging simulation and analytics to improve patient outcomes and training efficiency.
Research Focus
Key Achievements
Top Papers
- 1