Background: Our objective was to predict endoscopic performance in a cadaver model using basic performance resources (BPRs) measurements. Methods: Medical students (n = 16) underwent intense ureteroscopic training on a virtual reality ureteroscopy trainer and were rated on performing ureteroscopy on a cadaver. The medical students also underwent 13 validated BPR measurements. Urology residents also performed cadaveric ureteroscopy and BPRs. A predictive model built from urology residents' (n = 16) BPRs and performance assessment was used to predict medical student cadaveric ureteroscopy performance based on their BPRs alone. Results: The predictive model built with urology residents predicted the ureteroscopic performance of 10 of 16 medical students within 15% of their rated ureteroscopic performance on the cadaver. Conclusions: A predictive model built with urology residents can moderately predict the ureteroscopic performance of medical students from BPRs. Additional in vivo evaluation is required.
|Original language||English (US)|
|Number of pages||4|
|Journal||American journal of surgery|
|State||Published - Jun 2006|
- Human performance
- Virtual reality
ASJC Scopus subject areas