Stephanie D. Pickett
Papers
1
Total Citations
5
H-Index
1
About
Stephanie D. Pickett is a distinguished researcher in surgical education and gynecologic robotics, with a focus on optimizing training methodologies for minimally invasive procedures. Her most cited work, "Teaching robotic surgery skills: comparing the methods of generalists and subspecialists" (2013, 5 citations), provides critical insights into how different surgical specialties approach resident training on the DaVinci Surgical System. This study, involving over 2,000 gynecologic surgeons, highlights her ability to bridge the gap between generalist and subspecialist perspectives, offering evidence-based recommendations for standardizing robotic surgery curricula. Pickett’s contributions are particularly impactful in an era where robotic-assisted surgeries are rapidly expanding, as her research directly addresses the need for effective, scalable training models to ensure patient safety and surgical proficiency. While her citation count reflects the niche but vital nature of her work, her findings have influenced educational frameworks in obstetrics and gynecology. Pickett’s dedication to advancing surgical pedagogy underscores her role as a key voice in shaping how future surgeons master complex technologies, making her a valuable resource for students and researchers exploring the intersection of education, technology, and clinical practice.
Research Focus
Key Achievements
Top Papers
- 1