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Related Experiment Video

Updated: May 13, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
06:48

Emergency Undocking in Robotic Surgery: A Simulation Curriculum

Published on: May 20, 2018

Training and credentialing in robotic general surgery.

Matthew Harris1, Helen Mohan2, Bruno Augusto Alves Martins3

  • 1Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. matthew.harris-2@manchester.ac.uk.

International Journal of Colorectal Disease
|May 11, 2026
PubMed
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This summary is machine-generated.

Standardizing robotic surgical training and credentialing is crucial for patient safety and equitable access. A new competency-based framework addresses current inconsistencies in surgical education and workforce preparedness.

Area of Science:

  • Surgical Education
  • Medical Technology Adoption
  • Healthcare Systems

Background:

  • Robotic-assisted surgery adoption outpaces training frameworks, causing variability in competency assessment and credentialing.
  • Inconsistent practices raise concerns for patient safety, equitable access, and surgeon preparedness with new robotic platforms.

Purpose of the Study:

  • Define key concepts: competency, proficiency, benchmarking, and credentialing in robotic surgery.
  • Synthesize barriers to effective robotic surgical training across the career continuum.
  • Propose a standardized, platform-agnostic credentialing pathway for robotic general surgery.

Main Methods:

  • Narrative review of published literature and international consensus.
  • Identification of challenges including system access, standardization, training capacity, and performance metrics.
Keywords:
CredentialingRoboticSimulationTraining

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  • Development of a competency-based framework.

    • Main Results:

    • A proposed framework integrates simulation, modular progression, non-technical skills, mentorship, and objective assessment.
    • The pathway is adaptable across institutions and applicable to trainees and consultants.
    • The model is independent of vendor-specific credentialing.

    Conclusions:

    • Standardized robotic training and credentialing are vital for safe implementation and proficiency.
    • A coordinated approach is needed from professional bodies, institutions, and healthcare systems.
    • This ensures a future-ready robotic surgical workforce.