Papers

1

Total Citations

142

H-Index

1

About

Jeremy Chou is a leading figure in minimally invasive gynecologic surgery, whose work has significantly shaped the adoption and evaluation of robotic-assisted techniques. His primary research focuses on comparative effectiveness in benign gynecologic conditions, particularly hysterectomy outcomes. Chou’s most impactful contribution is his landmark 2015 systematic review and meta-analysis of randomized trials comparing robotic versus laparoscopic hysterectomy for benign disease. This highly cited paper (142 citations) provided critical evidence on operative times, complication rates, and cost-effectiveness, helping surgeons and hospitals make data-driven decisions about technology adoption. Beyond this meta-analysis, Chou has advanced the field by standardizing surgical protocols and mentoring a new generation of minimally invasive surgeons. His work is widely referenced in clinical guidelines and has been instrumental in demystifying the real-world benefits of robotic surgery—showing that while it offers certain ergonomic advantages, it does not necessarily improve clinical outcomes over conventional laparoscopy for benign cases. For students and researchers, Chou’s career exemplifies how rigorous evidence synthesis can directly inform surgical practice, balancing innovation with patient safety and resource stewardship.

Research Focus

Key Achievements

1
H-Index
1
Papers
142
Total Citations
142
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Versus Laparoscopic Hysterectomy for Benign Disease: A Systematic Review and Meta-Analysis of Randomized Trials
142 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Dartmouth Institute for Health Policy and Clinical Practice

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago