title: Assessing system operation skills in robotic surgery trainees.
abstract: BACKGROUND
  With increased use of robotic surgery in specialties including urology, development of training methods has also intensified. However, current approaches lack the ability to discriminate between operational and surgical skills.
  
  
  METHODS
  An automated recording system was used to longitudinally (monthly) acquire instrument motion/telemetry and video for four basic surgical skills - suturing, manipulation, transection, and dissection. Statistical models were then developed to discriminate the human-machine skill differences between practicing expert surgeons and trainees.
  
  
  RESULTS
  Data from six trainees and two experts was analyzed to validate the first ever statistical models of operational skills, and demonstrate classification with very high accuracy (91.7% for masters, and 88.2% for camera motion) and sensitivity.
  
  
  CONCLUSIONS
  The paper reports on a longitudinal study aimed at tracking robotic surgery trainees to proficiency, and methods capable of objectively assessing operational and technical skills that would be used in assessing trainee progress at the participating institutions.
authors: Department of Computer Science, Johns Hopkins University, Baltimore, MD 21218, USA. rajesh@jhu.edu
authors: Rajesh
authors: R
authors: Kumar
authors: Amod
authors: A
authors: Jog
authors: Anand
authors: A
authors: Malpani
authors: Balazs
authors: B
authors: Vagvolgyi
authors: David
authors: D
authors: Yuh
authors: Hiep
authors: H
authors: Nguyen
authors: Gregory
authors: G
authors: Hager
authors: Chi Chiung Grace
authors: CC
authors: Chen
mesh_terms: D000465:Algorithms; D001331:Automation; D002983:Clinical Competence; D003198:Computer Simulation; D004867:Equipment Design; D013502:General Surgery / Q000193:education / Q000379:methods*; D006801:Humans; D008328:Man-Machine Systems; D015233:Models, Statistical; D009038:Motion; D015203:Reproducibility of Results; D012371:Robotics / Q000193:education / Q000379:methods*; D013686:Telemetry / Q000379:methods*