Abstract Background The use of robotics in hernia surgery is increasing and is associated with a significant learning curve. Continuous, real-time outcome analysis is vital to inform and protect patients, and enable cost-benefit decisions. Methods Prospective data capture of patients undergoing robotic hernia repair during one surgeon’s introduction of robotics into their high-volume practice. Learning curve analysis was conducted using the cumulative sum (CUSUM) method. Results 31 unilateral inguinal repairs were performed between February 2023 and May 2024. Median age was 68 years. 78% had a history of previous abdominopelvic surgery. There was one conversion to open. Median blood loss was 0 ml with no requirement for blood transfusion. 84% of patients achieved complication free recovery; all complications were Clavien-Dindo Grade I. There were no returns to theatre and 1 readmission within 30 days. Median console time was 36 min (IQR 26–52); median time to dock and undock the robot was 13 min, making average operative time 49 min. CUSUM learning curve analysis of console time established three phases: initial training (case 1–5), improvement (case 6–15), and mastery (case 16 onwards). Perioperative outcomes were similar across phases, though console time decreased significantly. Conclusions Perioperative outcomes including length of stay, complications, readmissions, and return to theatre were acceptable in a relatively comorbid patient cohort, supporting the feasibility of introducing robotic hernia surgery into practice. CUSUM analysis established a clear learning curve for robotic inguinal hernia repair with rapid and significant improvement in console time over the first 31 cases.
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