Simulation-Based Mastery Learning in Endoscopy: Bridging Expertise Science and Competency-Based Training

Area of Science:

• Medical Education
• Surgical Simulation
• Expertise Development

Background:

• Traditional endoscopy training relies on apprenticeship, often lacking standardization and objective assessment.
• Simulation-based Mastery Learning (SBML) emerges as a structured alternative grounded in expertise science.
• SBML addresses the need for consistent, high-quality technical skill acquisition in endoscopy.

Purpose of the Study:

• To review the theoretical underpinnings of Simulation-based Mastery Learning (SBML) in endoscopy.
• To explore practical implementation strategies and global applications of SBML.
• To discuss the future directions and transformative potential of SBML in competency-based medical education.

Main Methods:

• Systematic review of literature on Simulation-based Mastery Learning (SBML) in endoscopy.
• Analysis of theoretical frameworks including deliberate practice and expertise acquisition.
• Examination of case studies and implementation models (hybrid, remote) for SBML.

Main Results:

• SBML ensures trainees meet predefined competency benchmarks through iterative simulation and feedback.
• The approach demonstrably improves technical skill acquisition and accelerates learning curves.
• SBML enhances patient safety by standardizing proficiency levels before clinical practice.

Conclusions:

• Simulation-based Mastery Learning (SBML) is a robust, evidence-based model for standardizing endoscopy training.
• Its adaptability allows for implementation in diverse settings, including resource-limited environments.
• SBML holds significant potential to advance global competency-based endoscopy education and improve patient outcomes.