Supporting Sound Reasoning in Patient Safety: Mental Models

Recent advances in cognitive science have transformed our understanding of how humans learn and solve problems. Instead of relying on formal rules of logic, humans use mental models (internal representations that simulate how systems work) as the foundation of their reasoning. Accurate and shared mental models have been shown to improve reasoning, situational awareness, anticipation, and coordination-skills that are essential for managing complexity in healthcare. This article traces our understanding of how mental models have implicitly shaped the evolution of patient safety philosophies. By reviewing the historical progression of safety models from linear, mechanistic approaches such as Reason's Swiss Cheese Model to complex adaptive systems perspectives such as Safety-II, we show how changing mental models have defined what "safety" means in practice. We then argue that continued progress in patient safety depends on a more deliberate use of mental models that reflects the heterogeneous, socio-technical nature of modern healthcare. Further, we introduce an integrative model that synthesizes these perspectives into a single, conceptually coherent framework, providing educators and frontline clinicians with a tool for understanding and improving systems performance in real-world settings.