Nadia Mohand

Université de Limoges

Papers

1

Total Citations

6

H-Index

1

About

Nadia Mohand is a surgical innovator whose research focuses on advancing gynecologic surgery through robotic-assisted techniques and resident training. Her most cited work, a 2020 pilot study on robot-assisted hysterectomy managed by residents using a dual console system, has garnered 6 citations and represents a significant contribution to surgical education. This study demonstrated that next-generation surgeons can safely perform complex procedures with enhanced mentorship, addressing critical gaps in hands-on training for minimally invasive surgery. Mohand’s research bridges the intersection of surgical technology and pedagogy, offering evidence that dual-console robotics can accelerate skill acquisition while maintaining patient safety. Her work is particularly impactful for academic medical centers seeking to modernize residency programs, as it provides a replicable model for integrating advanced robotics into training curricula. By quantifying resident performance outcomes, Mohand has helped establish benchmarks for competency-based surgical education. Her contributions resonate with ongoing efforts to reduce learning curves in robotic surgery, ultimately aiming to improve patient outcomes and surgical workforce readiness. As a researcher, Mohand exemplifies how targeted pilot studies can influence broader clinical training paradigms, making her a notable voice in the evolution of surgical education.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Training for next generation surgeons: a pilot study of robot-assisted hysterectomy managed by resident using dual console
6 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Université de Limoges

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago