Developer Resources: Access a Suite of Resources to Support Your Module Development Journey
Our comprehensive developer resources are here to support you every step of the way. From planning and design to construction and deployment, you'll have access to everything you need to create effective training modules with confidence. Collaborate with a community of experts, explore helpful guides, and tap into resources designed to make the development process smoother and more efficient.
Available Developer Resources
Peer Review
A mobile application that allows learners to upload videos of their practice on simulators. These videos are reviewed by an online community of learners and clinicians who provide targeted assessment and feedback.
Led by Abstract Partners
Tissues & Simulator Database
A searchable digital database that helps SELF training module developers find cost-effective simulation materials. The tool includes an index of existing simulators and tissue-simulating materials.
Led by Tissues & Simulator Database Working Group
Tiger Team
A specialized group of clinical and educational experts providing guidance to module developers. The team will support the application of the SELF training framework and ensure high-quality module development.
Led by Patrick Diamond from Intuitive Foundation
Registry
A data collection system designed to evaluate learning outcomes from SELF training modules. It builds on existing training module studies and will include protocols for evidence-based improvements.
Led by Dr. Dimitrios Stefanidis
Developer Course
An educational course based on the SELF Developer Playbook that teaches both the theory and practice of developing simulation-based training in resource-constrained settings.
Led by a working group from the University of Global Health Equity (UGHE)
Recommendation Engine
A digital tool designed to help learners find relevant skills training content based on their learning goals. Integrated with the SURGhub platform, it aims to prototype an AI-powered recommendation engine.
Led by Jiva.ai
