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To improve complex processes having interacting subprocesses such as those found in healthcare, it is often helpful to analyze those processes using discrete event simulation. That's because the process of building a discrete event simulation generally leads to a better understanding of the processes and their interactions, which in turn often leads to process improvement. It is also because once the simulation model has been built, it can be used to evaluate and optimize alternative process designs in context of organizational goals, without the cost of actually implementing the designs.

Phil's discrete event simulation experience includes: