Doga Demirel1, Kathryn L Butler2, Tansel Halic3, Ganesh Sankaranarayanan4, David Spindler5, Caroline Cao5, Emil Petrusa2, Marcos Molina6, Daniel B Jones6, Suvranu De4, Marc A deMoya2. 1. Computer Science Department, University of Central Arkansas, 201 Donaghey Avenue, Conway, AR, 72035, USA. 2. Department of Surgery, Massachusetts General Hospital, Harvard School of Medicine, Boston, MA, USA. 3. Computer Science Department, University of Central Arkansas, 201 Donaghey Avenue, Conway, AR, 72035, USA. Electronic address: tanselh@uca.edu. 4. Department of Mechanical, Aerospace, and Nuclear Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA. 5. Department of Biomedical, Industrial, and Human Factors Engineering, Wright State University, Dayton, OH, USA. 6. Department of Surgery, Beth Israel Deaconess Medical Center, Harvard School of Medicine, Boston, MA, USA.
Abstract
BACKGROUND: Despite the critical importance of cricothyroidotomy (CCT) for patient in extremis, clinical experience with CCT is infrequent, and current training tools are inadequate. The long-term goal is to develop a virtual airway skills trainer that requires a thorough task analysis to determine the critical procedural steps, learning metrics, and parameters for assessment. METHODS: Hierarchical task analysis is performed to describe major tasks and subtasks for CCT. A rubric for performance scoring for each task was derived, and possible operative errors were identified. RESULTS: Time series analyses for 7 CCT videos were performed with 3 different observers. According to Pearson's correlation tests, 3 of the 7 major tasks had a strong correlation between their task times and performance scores. CONCLUSIONS: The task analysis forms the core of a proposed virtual CCT simulator, and highlights links between performance time and accuracy when teaching individual surgical steps of the procedure.
BACKGROUND: Despite the critical importance of cricothyroidotomy (CCT) for patient in extremis, clinical experience with CCT is infrequent, and current training tools are inadequate. The long-term goal is to develop a virtual airway skills trainer that requires a thorough task analysis to determine the critical procedural steps, learning metrics, and parameters for assessment. METHODS: Hierarchical task analysis is performed to describe major tasks and subtasks for CCT. A rubric for performance scoring for each task was derived, and possible operative errors were identified. RESULTS: Time series analyses for 7 CCT videos were performed with 3 different observers. According to Pearson's correlation tests, 3 of the 7 major tasks had a strong correlation between their task times and performance scores. CONCLUSIONS: The task analysis forms the core of a proposed virtual CCT simulator, and highlights links between performance time and accuracy when teaching individual surgical steps of the procedure.
Authors: Neal E Seymour; Anthony G Gallagher; Sanziana A Roman; Michael K O'Brien; Vipin K Bansal; Dana K Andersen; Richard M Satava Journal: Ann Surg Date: 2002-10 Impact factor: 12.969
Authors: Christopher M Pettineo; John A Vozenilek; Ernest Wang; John Flaherty; Morris Kharasch; Pam Aitchison Journal: Simul Healthc Date: 2009 Impact factor: 1.929
Authors: 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 Journal: Stud Health Technol Inform Date: 2016