Lung function parameters for simulation based training
Josef X. Brunner, Neosim AG, Chur, Switzerland Optimizing respiratory therapy in intensive care is a challenge for clinicians at all levels of expertise. The difficulties rise with the degree of illness and along rises the associated morbidity and mortality. Simulation based training is a promising avenue to improve the learning curve and to explore the respiratory management of such difficult and rare cases. In simulation session, patient decompensation can be simulated and therapy options can be practiced without risk for patient - and without risk for clinicians! In contrast to other simulators, autonomous simulators do not need an operator to "fake" vital signs because they create vital signs in real-time and based on physiological parameters that were set to define patient cases. Unfortunately, it is not easy to find values for those parameters in the literature. This white paper is intended to fill the void. Fundamental set of parameters Simulation of respiratory fail