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

Abstract

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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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2012
Accession Number
AD1008256

Entities

People

  • Charles J. Shanley

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Augmented Reality
  • Best Practices
  • Brain Injuries
  • Change Detection
  • Computer Programs
  • Coordinate Systems
  • Data Analysis
  • Detection
  • Detectors
  • Graphical User Interface
  • Human Systems Integration
  • Image Processing
  • Pattern Recognition
  • Position (Location)
  • Simulators
  • Software Development
  • Three Dimensional

Fields of Study

  • Medicine

Readers

  • Aviation Science / Aeronautics.
  • Distributed Systems and Data Platform Development