Validation of a virtual reality-based robotic surgical skills curriculum

作者: Michael Connolly , Johnathan Seligman , Andrew Kastenmeier , Matthew Goldblatt , Jon C. Gould

DOI: 10.1007/S00464-013-3373-X

关键词:

摘要: The clinical application of robotic-assisted surgery (RAS) is rapidly increasing. da Vinci Surgical System™ currently the only commercially available RAS system. skills necessary to perform robotic are unique from those required for open and laparoscopic surgery. A validated surgical curriculum (fundamentals or FLS™) has transformed way surgeons acquire skills. There a need similar training assessment tool specific Based on previously published data expert opinion, we developed curriculum. We sought evaluate this evidence construct validity (ability discriminate between users different skill levels). Four experienced (>20 RAS) 20 novice (first-year medical students with no experience) were evaluated. comprised five tasks utilizing Vinci™ Skills Simulator (Pick Place, Camera Targeting 2, Peg Board Matchboard Suture Sponge 3). After an orientation robot period acclimation in simulator, all subjects completed three consecutive repetitions each task. Computer-derived performance metrics included time, economy motion, master work space, instrument collisions, excessive force, distance instruments out view, drops, missed targets, overall scores (a composite metrics). Experienced significantly outperformed most metrics. Statistically significant differences detected task regards mean time (seconds) completion. propose valid method assessing distinguishing levels Si™ System. Further study needed establish proficiency demonstrate that simulator proposed leads improved operating room.

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