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Data Driven Optimization of Surgeon Skills for Enhanced Training, Simulation, and Assessment

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Technical Report,21 Jul 2008,29 Feb 2012

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William Beaumont Hospital Royal Oak United States

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The ultimate goal of this project is to enhance patient safety by creating an objective, user-friendly and highly effective technology platform to assess surgeon readiness after new training and after prolonged periods without training or practice. A real-time analysis of individual performance data could be used to detect physical fatigue, impairment or other surgeon-factors that may threaten patient safety. Our integrated plan involves the development of automatically graded surgical tasks based on the FLS skills curriculum. In this project, a FLS trainer is instrumented with motion tracking and sensor data capture. The data captured is automatically analyzed by our software algorithm to provide objective skill assessment and performance feedback to the surgeon. This concept of an integrated training program with state-of-the art simulation technology will ultimately lead to real-time surgeon-factors assessment and surgeon specific reset training to enhance military surgeon readiness, improve outcomes and increase patient safety.

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