Papers

5

Total Citations

88

H-Index

4

About

Lena El Hachem is a gynecologic surgeon and clinical researcher whose work has significantly advanced the understanding of minimally invasive surgical techniques, with a particular focus on robotic-assisted and single-site laparoscopic surgery. Her research systematically examines the comparative outcomes, safety profiles, and practical learning curves associated with emerging surgical technologies in gynecology. Among her most influential contributions is her prospective analysis comparing postoperative pain and recovery between conventional laparoscopy and robotically assisted laparoscopy, which challenged prevailing assumptions about robotic surgery's clinical superiority and earned 27 citations. Her 2016 matched case-control study evaluating robotic single-site versus conventional laparoscopic surgery added critical cost-analysis perspectives to the field, accumulating 28 citations. El Hachem also made an early and important contribution by characterizing the feasibility and learning curve of robotic single-site surgery in gynecology, helping define benchmarks for adopting this novel approach in clinical practice. Collectively, her body of work has shaped evidence-based decision-making around surgical technique selection, balancing patient outcomes with institutional resource considerations. Her research remains a valuable reference for gynecologic surgeons navigating the rapidly evolving landscape of minimally invasive technology.

Research Focus

Key Achievements

4
H-Index
5
Papers
88
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Robotic Single-Site and Conventional Laparoscopic Surgery in Gynecology: Clinical Outcomes and Cost Analysis of a Matched Case-Control Study
28 citations · 2016
📈 Most Prolific Year: 2013 (2 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Icahn School of Medicine at Mount Sinai, St. Luke's-Roosevelt Hospital Center, Mount Sinai Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago