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Distance simulation in surgical education.

Cristián Jarry1, Julián Varas Cohen2

  • 1Experimental Surgery and Simulation Center, Faculty of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile; Colorectal Surgery Unit, Department of Digestive Surgery, Pontificia Universidad Católica de Chile, Santiago, Chile.

Surgery
|January 9, 2025
PubMed
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Distance simulation offers scalable surgical training solutions, enhancing skill development through effective hardware, validated programs, and timely feedback. This approach improves accessibility and quality, even in resource-limited settings.

Area of Science:

  • Medical Education
  • Surgical Training
  • Simulation Technology

Background:

  • Surgical education faces challenges like limited operating hours and increasing clinical demands.
  • Distance and remote simulation provide scalable, high-quality training solutions.
  • Need for consistent and accessible surgical skill development.

Purpose of the Study:

  • To review the benefits, limitations, and implementation strategies for sustainable distance simulation in surgical education.
  • To examine the role of hardware, training programs, and feedback mechanisms.
  • To explore the impact of artificial intelligence and remote feedback.

Main Methods:

  • Review of existing literature on distance and remote simulation in surgical education.
  • Structured analysis around three pillars: hardware/infrastructure, training programs, and feedback.

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  • Examination of emerging technologies like AI-enhanced assessment tools.
  • Main Results:

    • Distance simulation enables adaptable, scalable training environments.
    • Remote and asynchronous feedback overcome faculty availability and time constraints.
    • AI integration enhances feedback quality and provides deeper learning insights.

    Conclusions:

    • Sustainable distance simulation positively impacts surgical education across all levels.
    • It supports accessible, high-quality training, especially in resource-limited environments.
    • Frameworks can be adapted for real surgical performance assessment in clinical settings.