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

doi:10.3233/978-1-61499-625-5-91

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 proceeding › Conference contribution

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 language	English (US)
Title of host publication	Medicine Meets Virtual Reality 22, NextMed/MMVR 22
Editors	Li Fellander-Tsai, Kirby G. Vosburgh, James D. Westwood, Steven Senger, Susan W. Westwood, Cali M. Fidopiastis, Alan Liu
Publisher	IOS Press
Pages	91-97
Number of pages	7
ISBN (Electronic)	9781614996248
DOIs	https://doi.org/10.3233/978-1-61499-625-5-91
State	Published - 2016
Externally published	Yes
Event	Medicine Meets Virtual Reality 22, NextMed/MMVR 2016 - Los Angeles, United States Duration: Apr 7 2016 → Apr 9 2016

Publication series

Name	Studies in Health Technology and Informatics
Volume	220
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	Medicine Meets Virtual Reality 22, NextMed/MMVR 2016
Country/Territory	United States
City	Los Angeles
Period	4/7/16 → 4/9/16

Keywords

Airway management
Simulator
Virtual reality

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics
Health Information Management

Online availability

10.3233/978-1-61499-625-5-91

Library availability

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Cite this

Demirel, D., Yu, A., Halic, T., Sankaranarayanan, G., Ryason, A., Spindler, D., Butler, K. L., Cao, C., Petrusa, E., Molina, M., Jones, D., De, S., Demoya, M., & Jones, S. (2016). Virtual airway skills trainer (VAST) simulator. In L. Fellander-Tsai, K. G. Vosburgh, J. D. Westwood, S. Senger, S. W. Westwood, C. M. Fidopiastis, & A. Liu (Eds.), Medicine Meets Virtual Reality 22, NextMed/MMVR 22 (pp. 91-97). (Studies in Health Technology and Informatics; Vol. 220). IOS Press. https://doi.org/10.3233/978-1-61499-625-5-91

Virtual airway skills trainer (VAST) simulator. / Demirel, Doga; Yu, Alexander; Halic, Tansel et al.
Medicine Meets Virtual Reality 22, NextMed/MMVR 22. ed. / Li Fellander-Tsai; Kirby G. Vosburgh; James D. Westwood; Steven Senger; Susan W. Westwood; Cali M. Fidopiastis; Alan Liu. IOS Press, 2016. p. 91-97 (Studies in Health Technology and Informatics; Vol. 220).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Demirel, D, Yu, A, Halic, T, Sankaranarayanan, G, Ryason, A, Spindler, D, Butler, KL, Cao, C, Petrusa, E, Molina, M, Jones, D, De, S, Demoya, M & Jones, S 2016, Virtual airway skills trainer (VAST) simulator. in L Fellander-Tsai, KG Vosburgh, JD Westwood, S Senger, SW Westwood, CM Fidopiastis & A Liu (eds), Medicine Meets Virtual Reality 22, NextMed/MMVR 22. Studies in Health Technology and Informatics, vol. 220, IOS Press, pp. 91-97, Medicine Meets Virtual Reality 22, NextMed/MMVR 2016, Los Angeles, United States, 4/7/16. https://doi.org/10.3233/978-1-61499-625-5-91

Demirel D, Yu A, Halic T, Sankaranarayanan G, Ryason A, Spindler D et al. Virtual airway skills trainer (VAST) simulator. In Fellander-Tsai L, Vosburgh KG, Westwood JD, Senger S, Westwood SW, Fidopiastis CM, Liu A, editors, Medicine Meets Virtual Reality 22, NextMed/MMVR 22. IOS Press. 2016. p. 91-97. (Studies in Health Technology and Informatics). doi: 10.3233/978-1-61499-625-5-91

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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.",

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PY - 2016

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N2 - 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.

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ER -

Virtual airway skills trainer (VAST) simulator

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Online availability

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