Digitalisation of the simulation landscape - Novel solutions for simulation in low-resource settings

Area of Science:

• Medical Education
• Digital Health
• Simulation Technology

Background:

• Simulation-based training is a validated educational method in medical sciences.
• High costs of traditional simulators and infrastructure limit widespread adoption.
• There is a need for accessible simulation solutions, especially in resource-limited environments.

Purpose of the Study:

• To review the potential of digital tools for team-based simulation exercises.
• To identify and list affordable digital tools for various simulation phases.
• To provide insights into the features, types, and accessibility of these tools.

Main Methods:

• Narrative review of existing literature and digital resources.
• Identification of low-cost digital tools for scenario planning, design, and assessment.
• Categorization of tools based on functionality and accessibility.

Main Results:

• A comprehensive list of affordable digital tools is presented.
• Tools include generative AI for scenario planning, online case repositories, browser-based assessment designers, and simulation games.
• These digital solutions are accessible and adaptable for low-resource settings.

Conclusions:

• Digital tools significantly enhance the accessibility of simulation-based training.
• These tools can transform simulation into an engaging, immersive learning experience.
• Leveraging digital tools is crucial for advancing medical education in underserved areas.