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Objective Assessment of Robotic Surgical Technical Skill: A Systematic Review
Jian Chen1, Nathan Cheng, Giovanni Cacciamani
1Center for Robotic Simulation and Education, Catherine and Joseph Aresty Department of Urology, University of Southern California Institute of Urology, Los Angeles, California.
The Journal of Urology
|July 28, 2018
Summary
No single robotic surgery skill assessment is universally accepted. Future tools must be objective and efficient for surgeon training and credentialing, with manual and automated methods offering different benefits.
Area of Science:
- Urology
- Surgical Technology
- Medical Education
Background:
- Robotic surgery, particularly in urology, has seen significant growth.
- Numerous skills assessment tools for robotic surgery have been developed.
- Evaluating surgeon proficiency in robotic procedures is crucial.
Purpose of the Study:
- To review the current status of robotic surgery evaluations.
- To identify challenges in robotic skills assessment.
- To outline future needs for robotic surgical evaluations in urology.
Main Methods:
- Systematic review following PRISMA guidelines.
- Searched PubMed, Scopus, and Web of Science databases (2006-2018).
- Analyzed study design, validity, and reliability of included articles.
Main Results:
- 109 studies were included from 259 identified.
- Studies categorized into manual (global, procedure-specific, error-based) and automated assessments (kinematic data, system events, video analysis).
- Progress in machine learning and deep learning for automated skill evaluation noted, but concerns about training and credentialing persist.
Conclusions:
- No universally accepted robotic skills assessment tool currently exists.
- The choice between manual and automated assessment depends on the purpose (training vs. credentialing).
- Objective and efficient assessment tools are essential for surgeon training and credentialing.
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