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Explore multi-paradigm simulation approaches for decision support systems in healthcare and public health through this online lecture. Learn about three major simulation paradigms - Discrete Event Simulation (DE), Agent-Based Modeling (ABM), and System Dynamics (SD) - and understand their distinct roles in representing dynamic, adaptive systems within data-driven decision-making frameworks. Examine two detailed case studies: the first demonstrates agent-based modeling for developing effective campus reopening policies during pandemic situations by integrating behavioral and epidemiological factors, while the second explores Virtual Reality-based hybrid simulations for training and performance assessment in minimally invasive medical procedures. Discover how these simulation-based systems enhance policy formulation, improve training effectiveness, and advance decision support in healthcare and socio-technical systems. The presentation covers the versatility of simulation approaches in complex, human-centric domains and their practical applications in public health decision-making and medical training with objective skill evaluation under uncertainty.
