Applying simulation models to real life
The algorithms that we have analyzed in detail throughout this book represent valid tools for simulating real systems. Therefore, they are widely used in real life to carry out research on the possible evolution of a phenomenon, following a possible choice made on it.
Let’s look at some specific examples.
Modeling in healthcare
In the healthcare sector, simulation models have a significant weight and are widely used to simulate the behavior of a system to extract knowledge. For example, it is necessary to demonstrate the clinical efficacy of the health intervention under consideration before undertaking an economic analysis. The best available sources are randomized controlled trials. Trials, however, are often designed to leave out the economic aspects, so the key parameters for economic evaluations are generally absent. Therefore, a method is needed to evaluate the effect of disease progression, to limit the bias in the cost...
