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The CREST Simulation Development Process: Training the Next Generation.

Robert M Sweet^1,2

¹1 Department of Urology, Kidney Stone Center, University of Washington , Seattle, Washington.

Journal of Endourology

|September 17, 2016

Summary

This summary is machine-generated.

The Center for Research in Education and Simulation Technologies (CREST) developed a methodology for creating endourologic training systems. This approach ensures new simulation tools effectively train and assess critical skills for urologists.

Keywords:

benign prostatic hyperplasia education instrumentation laparoscopy approach laser percutaneous nephrolithotomy renal stone simulation ureteral stones ureteroscopy

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Area of Science:

Medical Simulation and Training
Urologic Surgery Education
Human Factors Engineering in Healthcare

Background:

Traditional methods for training and assessing endourologic skills face significant challenges.
The Center for Research in Education and Simulation Technologies (CREST) has established a dedicated team and methodology to address these challenges.
Development of innovative training systems is crucial for advancing endourologic proficiency.

Purpose of the Study:

To outline the methodology developed by CREST for creating effective endourologic training and assessment systems.
To detail the application of backwards design principles in the development of these simulation technologies.
To demonstrate the creation of diverse, validated training systems for various endourologic procedures.

Main Methods:

Employed backwards design principles, starting with defined clinical and educational outcomes.
Utilized cognitive task analysis to identify critical components, including anatomy, metrics, and potential errors.
Integrated digital anatomy, 3D printing, realistic tissue simulation, and embedded sensors for objective assessment.

Main Results:

Developed nine distinct endourology training systems covering a range of procedures (e.g., pyeloplasty, ureteroscopy, percutaneous access).
Incorporated mixed modalities such as physical models, virtual reality, and augmented reality.
Collected substantial validity evidence and are developing an open-source modular platform for unified training.

Conclusions:

The CREST process provides a robust framework for developing endourologic training and assessment systems.
This methodology ensures that created systems meet the specific needs of endourologic skill development.
The ongoing development of a unified platform promises to further standardize and enhance surgical simulation.