Virtual airway skills trainer (VAST) simulator

Doga Demirel, Alexander Yu, Tansel Halic, Ganesh Sankaranarayanan, Adam Ryason, David Spindler, Kathryn L. Butler, Caroline Cao, Emil Petrusa, Marcos Molina, Dan Jones, Suvranu De, Marc Demoya, Stephanie Jones

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 22, NextMed/MMVR 22
EditorsLi Fellander-Tsai, Kirby G. Vosburgh, James D. Westwood, Steven Senger, Susan W. Westwood, Cali M. Fidopiastis, Alan Liu
PublisherIOS Press
Pages91-97
Number of pages7
ISBN (Electronic)9781614996248
DOIs
StatePublished - 2016
EventMedicine Meets Virtual Reality 22, NextMed/MMVR 2016 - Los Angeles, United States
Duration: Apr 7 2016Apr 9 2016

Publication series

NameStudies in Health Technology and Informatics
Volume220
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

OtherMedicine Meets Virtual Reality 22, NextMed/MMVR 2016
CountryUnited States
CityLos Angeles
Period4/7/164/9/16

Bibliographical note

Funding Information:
This project was supported by National Institutes of Health (NIH) Grant NIH/NHLBI 1R01HL119248-01A1, NIH/NIBIB 2R01EB005807, 5R01EB010037, 1R01EB009362 and 1R01EB014305. This publication was made possible by the Arkansas INBRE program, supported by grant funding from the National Institutes of Health (NIH) National Institute of General Medical Sciences (NIGMS) (P20 GM103429) (formerly P20RR016460).

Publisher Copyright:
© 2016 The authors and IOS Press. All rights reserved.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

Keywords

  • Airway management
  • Simulator
  • Virtual reality

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