Eugene Richie

Mayo Clinic in Florida

Papers

1

Total Citations

37

H-Index

1

About

Eugene Richie is a leading figure in surgical education and robotic surgery, with a focus on optimizing team performance in the operating room. His primary research areas include simulation-based training, bedside assistant skill development, and the ergonomics of robotic prostatectomy. Richie’s most cited work, “Simulation-Based Training for Bedside Assistants Can Benefit Experienced Robotic Prostatectomy Teams” (2012, 37 citations), demonstrates a key contribution: proving that even highly experienced surgical teams—those with over 1,000 cases—can significantly benefit from structured, three-phase training courses. This finding challenged the assumption that expertise eliminates the need for continued education, highlighting the value of deliberate practice in high-stakes environments. By designing and validating a comprehensive bedside assistant curriculum, Richie has helped standardize training protocols, reduce intraoperative errors, and improve patient outcomes. His work bridges the gap between surgical simulation and real-world application, influencing how robotic surgery teams are trained globally. With a career dedicated to enhancing surgical safety through education, Richie’s research remains essential reading for clinicians and educators seeking to elevate team-based performance in robotic-assisted procedures.

Research Focus

Key Achievements

1
H-Index
1
Papers
37
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Simulation-Based Training for Bedside Assistants Can Benefit Experienced Robotic Prostatectomy Teams
37 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Mayo Clinic in Florida

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago