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Virtual Airway Skills Trainer (VAST) Simulator.
Demirel, Doga; Yu, Alexander; Halic, Tansel; Sankaranarayanan, Ganesh; Ryason, Adam; Spindler, David; Butler, Kathryn L; Cao, Caroline; Petrusa, Emil; Molina, Marcos; Jones, Dan; De, Suvranu; Demoya, Marc; Jones, Stephanie.
Afiliación
  • Demirel D; Department of Computer Science, University of Central Arkansas.
  • Yu A; Department of Computer Science, University of Central Arkansas.
  • Halic T; Department of Computer Science, University of Central Arkansas.
  • Sankaranarayanan G; Department of Mechanical, Aerospace and Nuclear Engineering, Rensselear Polytechnic Institute.
  • Ryason A; Department of Mechanical, Aerospace and Nuclear Engineering, Rensselear Polytechnic Institute.
  • Spindler D; Department of Biomedical, Industrial and Human Factors Engineering, Wright State University.
  • Butler KL; Department of Surgery, Massachusetts General Hospital, Harvard School of Medicine.
  • Cao C; Department of Biomedical, Industrial and Human Factors Engineering, Wright State University.
  • Petrusa E; Department of Surgery, Massachusetts General Hospital, Harvard School of Medicine.
  • Molina M; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine.
  • Jones D; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine.
  • De S; Department of Mechanical, Aerospace and Nuclear Engineering, Rensselear Polytechnic Institute.
  • Demoya M; Department of Surgery, Massachusetts General Hospital, Harvard School of Medicine.
  • Jones S; Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine.
Stud Health Technol Inform ; 220: 91-7, 2016.
Article en En | MEDLINE | ID: mdl-27046559
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Instrucción por Computador / Cartílago Cricoides / Cirugía Asistida por Computador / Evaluación Educacional / Enseñanza Mediante Simulación de Alta Fidelidad Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2016 Tipo del documento: Article Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Interfaz Usuario-Computador / Instrucción por Computador / Cartílago Cricoides / Cirugía Asistida por Computador / Evaluación Educacional / Enseñanza Mediante Simulación de Alta Fidelidad Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Stud Health Technol Inform Asunto de la revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Año: 2016 Tipo del documento: Article Pais de publicación: Países Bajos