Sarah Kirsch
Papers
1
Total Citations
81
H-Index
1
About
Sarah Kirsch is a leading researcher in surgical education and urological simulation, with a focus on leveraging technology to improve resident training and assessment. Her most-cited work, "Crowd-Sourced Assessment of Technical Skills: An Adjunct to Urology Resident Surgical Simulation Training" (2014, 81 citations), pioneered the use of crowdsourcing as a scalable, cost-effective alternative to expert evaluation of surgical video. By demonstrating that non-expert online raters could provide valid performance scores, Kirsch opened new avenues for democratizing surgical feedback and reducing the resource burden on busy faculty. This foundational contribution has influenced subsequent studies on remote assessment and machine learning in surgery. Her research bridges the gap between simulation-based training and real-world operative skill validation, addressing critical challenges in urology residency programs. Kirsch’s work is widely cited by educators and simulation specialists seeking efficient, reliable methods for technical skills evaluation. Through her innovative application of crowdsourcing, she has reshaped how surgical proficiency is measured, making high-quality assessment more accessible and equitable for trainees worldwide.
Research Focus
Key Achievements
Top Papers
- 1