Daniel Holst
Papers
3
Total Citations
330
H-Index
3
About
Daniel Holst’s research has fundamentally reshaped how surgical skill is evaluated, pioneering the use of crowdsourcing to make assessment scalable, objective, and cost-effective. His key contributions center on the development and validation of the Crowd-Sourced Assessment of Technical Skills (C-SATS) methodology, which leverages the “wisdom of crowds” to replace traditional, resource-intensive expert review. In his landmark 2013 paper (164 citations), Holst introduced this novel framework for evaluating surgical performance. He subsequently demonstrated its power to differentiate levels of animate surgical skill (2015, 85 citations) and established its practical utility as an adjunct to urology resident simulation training (2014, 81 citations). By proving that non-expert online raters can provide reliable, valid scores, Holst’s work addresses a critical bottleneck in surgical education and quality improvement. His research has opened the door to performance-based reimbursement and large-scale skill assessment, offering a democratized solution to a longstanding challenge. Holst’s impact is evident in the sustained citation of his foundational papers, which continue to inform innovations in surgical training and credentialing worldwide.
Research Focus
Key Achievements
Top Papers
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