How experienced robotic nurses adapt to the Hugo™ RAS system

Abstract

Abstract No studies have reported on the impact at team level of the Medtronic Hugo ™ RAS system. We described the work patterns and learning curves of an experienced robotic nurse team adapting to the new robotic system. We prospectively recorded the robotic nurse team’s preoperative, perioperative, and postoperative tasks on the first 30 robotic procedures performed. The data were descriptively analyzed, and Gantt Charts were created for a timeline overview of the work patterns. We compared the operative times between the Medtronic Hugo ™ RAS and the Davinci ® system. The preoperative phase seemed to improve with a median time of 94 min (IQR 81–107). After 20 surgeries, the work pattern became more consistent where the scrub and circulating nurses worked simultaneously. There was no noticeable improvement for the perioperative and postoperative phases with a stable median time of 170 min (IQR 135–189) and 26 min (IQR 22–31). We found that the work pattern seemed to stabilize after 20 surgeries but with a continued decrease in preoperative time without a learning curve plateau. The robotic nurse team suffered from few breaks and long working hours because only a few nurses at our facility were trained in the Hugo ™ system.