TK Kim
Papers
1
Total Citations
11
H-Index
1
About
TK Kim is a pioneering researcher in surgical education and quality improvement, with a focus on leveraging crowdsourcing to assess and enhance surgical skill. His most-cited work, "Wisdom of the crowds: Use of crowdsourcing to assess surgical skill of robot-assisted radical prostatectomy in a statewide surgical collaborative" (2015), introduced a novel methodology for evaluating operative performance by harnessing collective intelligence from non-expert raters. This study demonstrated that crowdsourced assessments could reliably differentiate surgical skill levels, offering a scalable, cost-effective alternative to traditional expert review. With 11 citations, the paper has influenced subsequent research on automated surgical feedback and peer-learning models. Kim’s contributions lie at the intersection of data-driven performance metrics and collaborative learning, advancing how surgeons refine their techniques through community-based evaluation. His work underscores the potential of democratizing surgical assessment, making it accessible for training programs and quality initiatives. By validating crowdsourcing as a tool for objective skill measurement, Kim has opened new avenues for improving patient outcomes and fostering transparency in surgical practice.
Research Focus
Key Achievements
Top Papers
- 1