Simulation-Enhanced Learning in Nuclear Medicine: Practical-Use SCAFFOLD

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Authors: Geoffrey M. Currie, Johnathan Hewis, Kym Barry, Tarni Nelson, David Gilmore
Cited by: 1
References: 56

Abstract

Simulation-based education has emerged as a strategic response to placement scarcity, workforce strain, and the increasing complexity of nuclear medicine practice. The theoretic principles and simulation architecture are transformed into practical implementation strategies across the nuclear medicine technologist training continuum. Simulation is positioned as a calibrated scaffold that reduces cognitive load, enhances safety, and strengthens readiness for authentic clinical engagement. A broad spectrum of simulation modalities are explored, including task trainers, human actor simulation, laboratory rehearsal, computer-based console simulators, immersive virtual and augmented realities, metaverse environments, synthetic data generation, artificial intelligence-enhanced adaptive simulation, and in situ departmental integration. Enrichment tools are presented as amplifiers that enhance feedback, fidelity, and personalization. Through applied case examples and reflective practice insights, simulation is conceptualized as a staged developmental framework aligned with regulatory expectations and workforce realities. The proposed SCAFFOLD (Simulation as a Calibrated Framework for Optimizing Learning and Development) framework offers a pragmatic blueprint for enhancing work-integrated learning readiness while preserving the irreplaceable value of authentic clinical experience.

Fields of Study & Subjects

Simulation-Based Education in Healthcare Artificial Intelligence in Healthcare and Education Medical Imaging Techniques and Applications

Publication details

Journal / source
Journal of Nuclear Medicine Technology
Publisher
Society of Nuclear Medicine
Volume
54
Issue
3
Pages
271–280
Publication date
9 June 2026
Language
EN