Archive | 2019
Physiologic Modeling for Simulators
Abstract
Abstract In clinical simulations, it is important that suspension of disbelief is generated in participants, in this way they can accept the simulated situation as being as real as treating a patient. If the instructor or learner cannot tell the difference between the output of the model in a simulation and that from a real patient, under a variety of circumstances, it passes the Turing test, and it is “real.” Pharmacologic and physiologic models are the prerequisite for this. This chapter describes the basics of physiologic modeling, the requirements of software solutions, and gives four concrete examples for highly sophisticated models in simulation.