This paper presents a simulation of Virtual Airway Skill Trainer (VAST) tasks. The simulated tasks are a part of two main airway management techniques; Endotracheal Intubation (ETI) and Cricothyroidotomy (CCT). ETI is a simple nonsurgical airway management technique, while CCT is the extreme surgical alternative to secure the airway of a patient. We developed identification of Mallampati class, finding the optimal angle for positioning pharyngeal/mouth axes tasks for ETI and identification of anatomical landmarks and incision tasks for CCT. Both ETI and CCT simulators were used to get physicians’ feedback at Society for Education in Anesthesiology and Association for Surgical Education spring meetings. In this preliminary validation study, total 38 participants for ETI and 48 for CCT performed each simulation task and completed pre and post questionnaires. In this work, we present the details of the simulation for the tasks and also the analysis of the collected data from the validation study.
['Doga Demirel', 'Alexander Yu', 'Tansel Halic', 'Ganesh Sankaranarayanan', 'Adam Ryason', 'Spindler D', 'Karyn L. Butler', 'Caroline G. L. Cao', 'Emil R. Petrusa', 'Marcos Molina', 'Daniel B. Jones', 'Suvranu De', 'Marc A. deMoya', 'Jones S']
Virtual Airway Skills Trainer (VAST) Simulator.