Advances in simulation (London, England) · 2026
Education alone is rarely enough: realising value from integrating simulation with quality improvement.
Письмо в редакциюНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
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Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Jafri Farrukh N, Light Michael B, Torres Rafael E, Edwards Roger A
Аннотация
The simulation community has invested heavily in educational rigour (validated debriefing methods, high-fidelity technology, faculty development), yet evidence linking simulation to sustained clinical improvement remains limited. We propose this gap exists not because simulation is ineffective, but because it is poorly positioned within organisational systems. Drawing on a decade of programmatic experience at a non-academic hospital, including multiple initiatives that did not produce sustained outcomes and subsequent methodological pivots, we argue that simulation achieves sustainable impact only when embedded within quality improvement infrastructure. Using the Donabedian model as a conceptual framework, we demonstrate that process-focused interventions (education, training) without corresponding structural supports (equipment, systems, protocols) produce transient change at best. Integrated approaches, where simulation serves as a quality improvement tool to identify system threats and monitor interventions through Plan-Do-Study-Act cycles and the SAFER-Matrix, produce measurable, sustained improvements. Evidence from in situ programmes across emergency departments and cardiac catheterisation laboratories, multi-site collaboratives, and AI-powered telehealth simulation demonstrates that this integrated approach succeeds where education alone falls short. We have formalised these principles in the Simulation-Quality Integration (SIM-QI) Framework, currently submitted for independent peer review, which provides a practical blueprint for embedding simulation within QI infrastructure. We present actionable implications for simulation educators, institutions, and researchers seeking to bridge the gap between educational excellence and clinical translation.