Niraj Badhiwala
Baylor College of Medicine, Washington University in St. Louis
Papers
2
Total Citations
96
H-Index
2
About
Niraj Badhiwala is a leading researcher in surgical education and robotic surgery simulation, with a focus on developing and validating training tools that bridge the gap between novice skill acquisition and operative proficiency. His foundational work, "Which skills really matter? proving face, content, and construct validity for a commercial robotic simulator" (83 citations), established critical benchmarks for assessing the effectiveness of robotic simulation platforms, demonstrating that specific simulator tasks reliably differentiate between novice, intermediate, and expert surgeons. This study remains a cornerstone reference for curriculum design in robotic training programs worldwide. Badhiwala further advanced the field by investigating high-fidelity, low-cost training models, as seen in his work on an *ex vivo* porcine model for robot-assisted partial nephrectomy simulation (13 citations). This research validated a practical, accessible training tool using the Global Evaluative Assessment of Robotic Skills (GEARS) tool, showing significant improvements in resident confidence and technical performance. His contributions are particularly impactful for high-volume tertiary centers seeking scalable, evidence-based solutions to enhance surgical readiness without compromising patient safety. Badhiwala’s work continues to shape how robotic skills are taught, assessed, and refined in modern surgical education.
Research Focus
Key Achievements
Top Papers
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