Visualising pathophysiological simulation with a virtual patient

We present a new approach to computer-aided training in medicine based on the visualisation of simulated clinical conditions using a virtual patient. Our system uses a knowledge-based model of cardiac physiology to generate realistic emergency situations (shock states). The overall results of the simulations are presented through a realistic 3D virtual patient whose behaviour and appearance are consistent with the clinical data generated. After introducing the principles behind the simulation and the system´s architecture, we describe the process through which physiological parameters are mapped to the visual appearance of the 3D patient and discuss representative results from the system.