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Updated: May 17, 2026

Emergency Undocking in Robotic Surgery: A Simulation Curriculum
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Published on: May 20, 2018

Distributed Simulation in surgical training: an off-site feasibility study.

Alexander Harris1, Eva Kassab, Jimmy Kyaw Tun

  • 1Department of Surgery and Cancer, Imperial College London, UK. alexander.harris00@imperial.ac.uk

Medical Teacher
|November 10, 2012
PubMed
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Distributed Simulation (DS) offers a low-cost, portable, high-fidelity surgical training method. This study confirms its off-site feasibility and positive reception by end-users, enhancing surgical education accessibility.

Area of Science:

  • Medical Education
  • Surgical Training Simulation
  • Health Informatics

Background:

  • High-fidelity simulation is crucial for surgical training but often limited by cost and accessibility.
  • Distributed Simulation (DS) presents an innovative, low-cost, portable alternative.
  • Previous trials of DS were confined to a single specialized center.

Purpose of the Study:

  • To assess the feasibility of implementing Distributed Simulation (DS) in a non-specialized, off-site setting.
  • To evaluate the perceptions and experiences of end-users, specifically surgeons, with DS.

Main Methods:

  • A standardized porcine laparoscopic cholecystectomy scenario was recreated using DS at a District General Hospital.
  • Logistical feasibility was documented through a research diary.

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  • Mixed methods, including surveys and interviews, were used to gather surgeon feedback from 10 participants.

    • Main Results:

    • Distributed Simulation (DS) proved feasible for off-site implementation.
    • End-users reported positive comparisons of DS to previous simulation experiences.
    • Surgeons identified DS as particularly beneficial for junior surgeons' confidence-building before operating room entry.

    Conclusions:

    • Distributed Simulation (DS) can serve as a valuable adjunct to surgical training, complementing traditional methods.
    • Its low cost and portability address significant barriers to high-fidelity simulation accessibility and affordability.
    • DS holds potential to broaden the reach of effective surgical training tools.