Yumnah Safdar

Papers

Total Citations

H-Index

About

Yumnah Safdar is a surgical researcher whose work focuses on the intersection of simulation-based training and robotic surgery, particularly in general surgery. Her most cited study, “Is laparoscopic experience helpful in simulator based robotic training in general surgery?” (2021, 4 citations), investigates whether prior laparoscopic skills enhance performance on the DaVinci robotic skills simulator. Conducted as a cross-sectional study at Civil Hospital, Karachi, this work addresses a critical question in surgical education: how to optimize training pathways for emerging robotic technologies. By evaluating first-year residents, Safdar contributes to evidence-based curriculum design, helping to determine whether foundational laparoscopic experience should be a prerequisite for robotic training. Her research highlights the importance of skill transfer in minimally invasive surgery, with implications for residency programs adapting to robotic platforms. While her citation count is modest, her work is timely and practical, offering insights for surgical educators and trainees navigating the transition from traditional laparoscopy to robotic systems. Safdar’s focus on simulation-based assessment positions her as a contributor to improving surgical training efficiency and patient safety.