1019 Quantified Learning Curves for Robotic Gastrointestinal Surgery

Abstract Aim Robotic techniques are increasingly being adopted by gastrointestinal surgeons. It is important to understand the learning curves (LCs) for robotic surgery, protect patients from harm caused surgeon inexperience. The aim of this study was summarise reports LC three procedures: cholecystectomy, oesophagectomy and Roux-en-Y gastric bypass (RYGB). Method Three systematic reviews were conducted trainee led RoboSurg Collaborative. Systematic searches identified primary clinical research involving RYGB. Articles screened in duplicate title, abstract then full text. References extracted coded. Quantifications curve summarised using descriptive statistics. Results 259 articles identified: 56 measured LC, with 23 (9%) these calculating number cases required complete LC. mean reported at which plateaued was: 16 (N = 6, SD 3.7), 18 cholecystectomy 5, 15.1), 34 RYGB 12, 24.6). LCs often incorporated equipment setup times, so represents team as well surgeon. These values represent points on that authors deemed their surgeons have ‘completed’ learning. Definitions when occurred varied greatly but largely fell two categories: ‘plateau operative time’ or ‘matching operating time laparoscopic control procedure’. Conclusions heterogeneity how defined, measured, highlights need a more standardised approach evaluating novel such robotics.