Plenary: Next Frontier, Sunday, Afternoon Session
Presentation Authors: Susan Talamini*, Whitney Halgrimson, Ryan Dobbs, Simone Crivellaro, chicago, IL
Introduction: Cognitive load measures the number of informational elements that need to be processed to complete a given task, previously it has been shown that increases in overall cognitive load can result in stress, decreased efficiency, and ultimately suboptimal surgeon performance. The da Vinci Single Port (SP) robotic platform (Intuitive Surgical, Sunnyvale, CA) is a novel technology which offers new capabilities to the urologic surgeon, but its impact on surgeon cognitive load and performance is unknown. To better understand the impact of this new technology, we compared the SP and Multi-port (MP) platforms through objective measurement of cognitive load during the crucial steps of a robotic-assisted laparoscopic prostatectomy (RALP).
Methods: We prospectively compared the first 10 SP-RALPs performed at our academic institution with 10 MP RALPs, all performed by a single experienced robotic surgeon over the same period. Comparisons were made with respect to mental workload (NASA Task Load Index), surgical workload (Surgery Task Load Index), team work (Observational Teamwork Assessment for Surgery) and workflow disruptions. Statistical analysis was performed using SPSS® 24 (IBM, Armonk, NY) with p <0.05 considered statistically significant. The mean is used to report performance metrics.
Results: Ten SP and 10 MP RALP procedures were performed between December 2018 and January 2019 by the same surgeon. No statistically significant difference was found between the MP and SP platforms in the cognitive workload experienced by the surgeon during the performance of a RALP for the NASA Task Load Index, Surgery Task Load Index or Observational Teamwork Assessment analyses. Workflow disruptions were similar between the two cohorts. The total robotic console time did not significantly vary between the platforms.
Conclusions: Despite being within the initial learning curve for the newly introduced SP platform at our institution, there was no significant difference with respect to cognitive load, human factor or workflow disruption measures between SP and MP platforms. This suggests that in the hands of an experienced robotic surgeon the adaptation of this technology is feasible and attainable.
Source of Funding: none