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Robotic colorectal surgery training: Portsmouth perspective.
Piozzi, Guglielmo Niccolò; Subramaniam, Sentilnathan; Di Giuseppe, Diana Ronconi; Duhoky, Rauand; Khan, Jim S.
Afiliação
  • Piozzi GN; Department of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
  • Subramaniam S; Colorectal Surgery Unit, Department of General Surgery, Hospital Kuala Lumpur, Kuala Lumpur, Malaysia.
  • Di Giuseppe DR; Department of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
  • Duhoky R; Department of General Surgery, Alma Mater Studiorum University of Bologna, Bologna, Italy.
  • Khan JS; Department of Colorectal Surgery, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Ann Coloproctol ; 40(4): 350-362, 2024 Aug.
Article em En | MEDLINE | ID: mdl-39228198
ABSTRACT
This study aims to discuss the principles and pillars of robotic colorectal surgery training and share the training pathway at Portsmouth Hospitals University NHS Trust. A narrative review is presented to discuss all the relevant and critical steps in robotic surgical training. Robotic training requires a stepwise approach, including theoretical knowledge, case observation, simulation, dry lab, wet lab, tutored programs, proctoring (in person or telementoring), procedure-specific training, and follow-up. Portsmouth Colorectal has an established robotic training model with a safe stepwise approach that has been demonstrated through perioperative and oncological results. Robotic surgery training should enable a trainee to use the robotic platform safely and effectively, minimize errors, and enhance performance with improved outcomes. Portsmouth Colorectal has provided such a stepwise training program since 2015 and continues to promote and augment safe robotic training in its field. Safe and efficient training programs are essential to upholding the optimal standard of care.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article