A cognitive task analysis of expert surgeons performing the robotic roux-en-y gastric bypass

• Published in: Surgical endoscopy Vol. 37; no. 12; pp. 9523 - 9532
• Main Authors: Grover, Karan, Mowoh, Daniel Praise, Chatha, Hamza Nasir, Mallidi, Ajitha, Sarvepalli, Shravan, Peery, Curtis, Galvani, Carlos, Havaleshko, Dmytro, Taggar, Amit, Khaitan, Leena, Abbas, Mujjahid
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2023; Springer Nature B.V
• Subjects: 2023 SAGES Oral; Abdominal Surgery; Anastomosis, Roux-en-Y; Body mass index; Cognition; Decision making; Endoscopy; Gastric Bypass - methods; Gastroenterology; Gastrointestinal surgery; Gynecology; Hepatology; Humans; Laparoscopy; Laparoscopy - methods; Learning curves; Medicine; Medicine & Public Health; Obesity; Obesity, Morbid - surgery; Pandemics; Proctology; Qualitative research; Robotic surgery; Robotic Surgical Procedures; Skills; Surgeons; Surgeons - psychology; Surgery; Task analysis; Teaching; Weight control; Robotic roux-en-y gastric bypass; CTA robotic surgery; RNYGB; Cognitive task analysis; Expert bariatric surgeons

Background The safe and effective performance of a robotic roux-en-y gastric bypass (RRNY) requires the application of a complex body of knowledge and skills. This qualitative study aims to: (1) define the tasks, subtasks, decision points, and pitfalls in a RRNY; (2) create a framework upon which tr...