Jonathan C. Nesbitt
Papers
4
Total Citations
33
H-Index
3
About
Jonathan C. Nesbitt is a cardiothoracic surgeon and researcher dedicated to advancing surgical education and patient outcomes through objective performance assessment. His primary research focuses on leveraging robotic surgical data to quantify technical skill, reduce operative errors, and improve training in cardiothoracic surgery. Nesbitt’s most impactful work, cited 19 times, established that objective performance indicators (OPIs) derived from robotic kinematic and system data can predict vascular injury during simulated robotic-assisted lobectomy—a critical step toward competency-based training. He further demonstrated that these digital metrics can reliably differentiate between attending and trainee surgeons, offering a path to replace subjective evaluations with unbiased, data-driven feedback. Nesbitt also contributed to clinical innovation by reporting the short-term outcomes of robotic-assisted transthoracic diaphragmatic plication, a minimally invasive alternative to open thoracotomy for symptomatic diaphragmatic dysfunction. His work bridges the gap between surgical simulation, real-world performance, and patient safety, positioning him as a leader in the integration of quantitative analytics into surgical education and practice.
Research Focus
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Top Papers
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