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Robot Docking Time: Cumulative Summation Analysis of a Procedure-Independent Learning Curve in Pediatric Urology

Junaid Ashraf, Jamie Krishnan, Alexander Turner, Ramnath Subramaniam

Year
2018
Citations
22

Abstract

PURPOSE: The learning curve is an important method of assessment of progression in the use of a new technique or device and, in the field of robotic surgery, is most commonly described for individual procedures, often concentrating on console time and outcomes. We contemplated whether a learning curve of the similar nature and duration was exhibited in the procedure-independent variable of docking time. MATERIALS AND METHODS: The time from first incision to end of robot docking was found for a single surgeon's first 55 robotic cases, which encompassed a range of pediatric urological procedures. Raw and cumulative summation (CUSUM) data were found and plotted, with learning- and maintenance-phase times compared statistically. RESULTS: A classical learning curve of ∼30 cases was found with a statistically significant reduction in time between learning and maintenance phases. CONCLUSIONS: A learning curve of similar nature and duration to procedure-specific analyses was found for docking time. The variability of port placement and robot positioning for multiple procedures further increases the significance of this result.

Keywords

CUSUMLearning curveMedicineRobotArtificial intelligenceRobotic surgeryMachine learningSimulationSurgeryComputer science

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