Rezzan Hekmat
Papers
1
Total Citations
15
H-Index
1
About
Rezzan Hekmat is a leading figure in thoracic surgical innovation, with a focused expertise in robotic surgery and the optimization of surgical training. Her research critically examines the learning curves associated with robotic thoracic procedures, quantifying how procedural experience translates into measurable gains in efficiency and productivity. Her most-cited work, "National learning curves among robotic thoracic surgeons in the United States," provides a data-driven framework for understanding the trajectory of skill acquisition, offering vital insights for surgical education and credentialing. With over 15 citations, this study has become a foundational reference for hospitals and training programs seeking to standardize robotic surgery proficiency. Beyond this landmark paper, Hekmat’s contributions extend to evaluating the impact of surgical volume on patient outcomes and operational costs, bridging the gap between clinical practice and health systems management. Her work is essential reading for surgeons, trainees, and policymakers aiming to enhance the quality and scalability of robotic-assisted thoracic care.
Research Focus
Key Achievements
Top Papers
- 1