Robotic docking time with the Hugo™ RAS system in gynecologic surgery: a procedure independent learning curve using the cumulative summation analysis (CUSUM)

• DOI: 10.1007/s11701-023-01693-w
• Publication Date: 2023-08-05T09:01:31Z
• Authors: Giovanni Panico; Sara Mastrovito; Giuseppe Campagna; Giorgia Monterossi; Barbara Costantini; Alessandro Gioè; Riccardo Oliva; Chiara Ferraro; Alfredo Ercoli; Francesco Fanfani; Giovanni Scambia
• Keywords: CUSUM; Learning curve; Docking (animal)

Robot-assisted surgery has been proven to offer improvements in term of surgical learning curve and feasibility minimally invasive surgery, but often criticized for its longer operative times compared conventional laparoscopy. Additional can be split into time required system set-up, robotic arms docking calibration instruments; secondly, surgeon's curve. One the newest systems recently launched on market is Hugo™ RAS (MEDTRONIC Inc, United States). As some earliest adopters technology, we present our data first 192 gynecologic cases performed at institution. Our indicates that set-up with new time-effectively specific comparable preexisting other platforms. This preliminary insights this released may worthwhile centers which soon adopt technology need relevant information topics such as OR times. Further studies are necessary assess different features considering technical aspects, fully become familiar novel technology.