Abstract:

Through the several waves of the Covid19 pandemic exposed clinical educational and training gaps in different geographical and socio-economic areas, however a lack of trained health care professionals in ventilation was a universal one. With Neosim’s autonomous human lung simulators, healthcare simulation educators can bring about a sea change in medically simulated lung training. Founded by Swiss clinical experts with a strong background in lung physiology and mechanical ventilation, neosim was built on the principles of developing lung simulators that have autonomous physiology. These simulated lungs are based on published scientific data and are as close to reality as possible.

For the training and education of clinicians, especially respiratory therapists and intensive care professionals, neosim simulators create realistic breathing in health and disease. neosim simulators use realistic algorithms based on published data for human physiology which help to steer educators from unconscious bias. With neosim, trainees get to use the actual everyday mechanical ventilator equipment that they already use on actual patients, maxizing the learning outcomes while maintaining a safe learning environment!

Covered in the webinar will be LuSi and the TestChest Lung Simulator:

LuSi, neosim’s Neonatal Lung Simulator, is the world’s first autonomous and advanced baby lung simulator with real-time artificial intelligence. The product is designed to train clinicians in the assessment of pulmonary function and respond to treatment without operator’s intervention. In doing so, the product can simulate pathologies like RDS, lung collapse, weak muscular activity, pneumothorax, airway obstruction, etc.

TestChest is an innovative full physiologic artificial lung that provides a breakthrough in mechanical ventilation training. The product was developed to simulate the human heart and respiratory system for teaching and training purposes. TestChest can be used either as a stand-alone skill training station or integrated into a full-scale patient simulator.

Learning Objectives:

1. Understand utility of autonomous lung simulators for healthcare simulation.
2. Understand how to run simple to complex teaching scenarios in mechanical ventilation using an actual device.
3. Understand how to design diffrent lung pathologies on the Lusi neonate lung simulator.