Scott Wiener1, Peter Haddock2, Steven Shichman3, Ryan Dorin3. 1. 1 Department of Urology, University of Connecticut Health Center , Farmington, Connecticut. 2. 2 Urology Division, Hartford Healthcare Medical Group, Hartford Hospital , Hartford, Connecticut. 3. 3 Department of Urology and Center for Education, Simulation, and Innovation (CESI), Hartford Hospital, Hartford, Connecticut.
Abstract
PURPOSE: To define the time needed by urology residents to attain proficiency in computer-aided robotic surgery to aid in the refinement of a robotic surgery simulation curriculum. METHODS: We undertook a retrospective review of robotic skills training data acquired during January 2012 to December 2014 from junior (postgraduate year [PGY] 2-3) and senior (PGY4-5) urology residents using the da Vinci Skills Simulator. We determined the number of training sessions attended and the level of proficiency achieved by junior and senior residents in attempting 11 basic or 6 advanced tasks, respectively. RESULTS: Junior residents successfully completed 9.9 ± 1.8 tasks, with 62.5% completing all 11 basic tasks. The maximal cumulative success rate of junior residents completing basic tasks was 89.8%, which was achieved within 7.0 ± 1.5 hours of training. Of senior residents, 75% successfully completed all six advanced tasks. Senior residents attended 6.3 ± 3.5 hours of training during which 5.1 ± 1.6 tasks were completed. The maximal cumulative success rate of senior residents completing advanced tasks was 85.4%. CONCLUSION: When designing and implementing an effective robotic surgical training curriculum, an allocation of 10 hours of training may be optimal to allow junior and senior residents to achieve an acceptable level of surgical proficiency in basic and advanced robotic surgical skills, respectively. These data help guide the design and scheduling of a residents training curriculum within the time constraints of a resident's workload.
PURPOSE: To define the time needed by urology residents to attain proficiency in computer-aided robotic surgery to aid in the refinement of a robotic surgery simulation curriculum. METHODS: We undertook a retrospective review of robotic skills training data acquired during January 2012 to December 2014 from junior (postgraduate year [PGY] 2-3) and senior (PGY4-5) urology residents using the da Vinci Skills Simulator. We determined the number of training sessions attended and the level of proficiency achieved by junior and senior residents in attempting 11 basic or 6 advanced tasks, respectively. RESULTS: Junior residents successfully completed 9.9 ± 1.8 tasks, with 62.5% completing all 11 basic tasks. The maximal cumulative success rate of junior residents completing basic tasks was 89.8%, which was achieved within 7.0 ± 1.5 hours of training. Of senior residents, 75% successfully completed all six advanced tasks. Senior residents attended 6.3 ± 3.5 hours of training during which 5.1 ± 1.6 tasks were completed. The maximal cumulative success rate of senior residents completing advanced tasks was 85.4%. CONCLUSION: When designing and implementing an effective robotic surgical training curriculum, an allocation of 10 hours of training may be optimal to allow junior and senior residents to achieve an acceptable level of surgical proficiency in basic and advanced robotic surgical skills, respectively. These data help guide the design and scheduling of a residents training curriculum within the time constraints of a resident's workload.
Authors: Alexander J W Beulens; Willem M Brinkman; Petra J Porte; Richard P Meijer; Jeroen J G van Merriënboer; Henk G Van der Poel; Cordula Wagner Journal: J Robot Surg Date: 2018-11-22
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Authors: Willem Brinkman; Isabel de Angst; Henk Schreuder; Barbara Schout; Werner Draaisma; Lisanne Verweij; Ad Hendrikx; Henk van der Poel Journal: Surg Endosc Date: 2016-05-18 Impact factor: 4.584