Abstract Introduction This study demonstrates the Intuitive App’s utility in tracking a single-surgeon’s learning curve in robotic bariatric surgery to enhance efficiency. Methods Data from 75 Sleeve Gastrectomies and 48 Roux-en-Y Gastric Bypasses (RYGB), performed March 2024 to May 2025, were extracted using the app’s timeline and trend features. Hiatal hernia repairs were excluded. Cohort-based learning curve analysis grouped Sleeve cases into and RYGB into cohorts. Averages were computed in Excel from app-derived data. Results Sleeve console time improved from 95.5 min (cases 1–20) to 62.4 min (cases 41–65), a 34.6% reduction. RYGB console time decreased from 169.3 min (cases 1–15) to 130.2 min (cases 31-–42), with pouch time from 32.7 to 24.9 min, gastrojejunostomy from 48.9 to 35.6 min, and jejunojejunostomy from 35.1 to 28.4 min. Conclusion The Intuitive App’s interface effectively guided data extraction and cohort-based analysis, supporting significant efficiency gains and advocating its role in surgical education.
Ramar et al. (Thu,) studied this question.