Papers

2

Total Citations

24

H-Index

2

About

Jason Hu is a urological surgeon and educator whose research focuses on surgical simulation, robotic training, and competency-based assessment in urology. His most impactful work, a randomized prospective study published in 2020, demonstrated that basic robotic surgical skills are transferable from the simulator to the operating room during robotic-assisted radical prostatectomy—a finding with direct implications for surgical curricula and patient safety. With 22 citations, this study remains a cornerstone in the literature on simulation-based training. Hu also led a retrospective analysis of OSCE performance among Quebec urology residents from 2008 to 2019, evaluating station types and subspecialty content to inform residency education. Though less cited, this work reflects his commitment to rigorous, evidence-based assessment in urology training. Together, his contributions bridge the gap between simulation and clinical practice, offering practical insights for educators and trainees alike. Hu’s research is essential reading for anyone interested in how we teach and evaluate the next generation of robotic surgeons.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Are basic robotic surgical skills transferable from the simulator to the operating room? A randomized, prospective, educational study
22 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: McGill University Health Centre, McGill University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago