Differences Between Attending and Trainee Surgeon Performance Using Objective Performance Indicators During Robot-Assisted Lobectomy.

Journal: Innovations (Philadelphia, Pa.)
Published Date:

Abstract

OBJECTIVE: Existing approaches for assessing surgical performance are subjective and prone to bias. In contrast, utilizing digital kinematic and system data from the surgical robot allows the calculation of objective performance indicators (OPIs) that may differentiate technical skill and competency. This study compared OPIs of trainees and attending surgeons to assess differences during robotic lobectomy (RL).

Authors

  • Daniel Oh
    Department of Radiation Oncology, Duke University Medical Center, Durham, North Carolina.
  • Kristen Brown
    Data and Analytics, Intuitive Surgical, Sunnyvale, CA, USA.
  • Sadia Yousaf
    Data and Analytics, Intuitive Surgical, Sunnyvale, CA, USA.
  • Jonathan Nesbitt
    Vanderbilt University, Nashville, TN, USA.
  • Richard Feins
    University of North Carolina at Chapel Hill, NC, USA.
  • Manu Sancheti
    Emory University, Atlanta, GA, USA.
  • Jules Lin
    Department of Surgery, University of Michigan, Ann Arbor, Michigan; Section of Thoracic Surgery, Department of Surgery, University of Michigan, Ann Arbor, Michigan.
  • Stephen Yang
    Johns Hopkins University, Baltimore, MD, USA.
  • Desmond D'Souza
    Ohio State University, Columbus, OH, USA.
  • Anthony Jarc
    3 Medical Research, Intuitive Surgical, Inc. , Norcross, Georgia .