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Robotic Surgical Education: a Collaborative Approach to Training Postgraduate Urologists and Endourology Fellows
OBJECTIVE: Currently, robotic training for inexperienced, practicing surgeons is primarily done vis-à-vis industry and/or society-sponsored day or weekend courses, with limited proctorship opportunities. The objective of this study was to assess the impact of an extended-proctorship program at up to...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Society of Laparoendoscopic Surgeons
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3015961/ https://www.ncbi.nlm.nih.gov/pubmed/19793464 |
Sumario: | OBJECTIVE: Currently, robotic training for inexperienced, practicing surgeons is primarily done vis-à-vis industry and/or society-sponsored day or weekend courses, with limited proctorship opportunities. The objective of this study was to assess the impact of an extended-proctorship program at up to 32 months of follow-up. METHODS: An extended-proctorship program for robotic-assisted laparoscopic radical prostatectomy was established at our institution. The curriculum consisted of 3 phases: (1) completing an Intuitive Surgical 2-day robotic training course with company representatives; (2) serving as assistant to a trained proctor on 5 to 6 cases; and (3) performing proctored cases up to 1 year until confidence was achieved. Participants were surveyed and asked to evaluate on a 5-point Likert scale their operative experience in robotics and satisfaction regarding their training RESULTS: Nine of 9 participants are currently performing robotic-assisted laparoscopic radical prostatectomy (RALP) independently. Graduates of our program have performed 477 RALP cases. The mean number of cases performed within phase 3 was 20.1 (range, 5 to 40) prior to independent practice. The program received a rating of 4.2/5 for effectiveness in teaching robotic surgery skills. CONCLUSION: Our robotic program, with extended proctoring, has led to an outstanding take-rate for disseminating robotic skills in a metropolitan community. |
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