TY - GEN
T1 - An Extended Reality Simulator for Advanced Trauma Life Support Training
AU - Donekal Chandrashekar, Nikitha
AU - Manuel, Mark
AU - Park, Juwon
AU - Greene, Alicia
AU - Safford, Shawn
AU - Gračanin, Denis
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - We describe the design and development of an Extended Reality Advanced Trauma Life Support (ATLS) simulator that incorporates several ATLS scenarios. ATLS is a training program developed by the American College of Surgeons for teaching medical practitioners a systematic approach to treating trauma patients. The ATLS simulator is based on case-level data, which helps create reusable medical training scenarios. The simulation consists of three components, namely, incident history, initial assessment and resuscitation, and a secondary survey. It provides several scenarios for medical practitioners to perform the tasks from the ATLS checklist and practice diagnosing patients. The simulator can also predict the requirement of an ICU room, ventilator and the length of stay for a given trauma patient based on the type and severity of their injury. With our ATLS simulator we aim to provide medical practitioners a comprehensive training module for practicing emergency trauma response.
AB - We describe the design and development of an Extended Reality Advanced Trauma Life Support (ATLS) simulator that incorporates several ATLS scenarios. ATLS is a training program developed by the American College of Surgeons for teaching medical practitioners a systematic approach to treating trauma patients. The ATLS simulator is based on case-level data, which helps create reusable medical training scenarios. The simulation consists of three components, namely, incident history, initial assessment and resuscitation, and a secondary survey. It provides several scenarios for medical practitioners to perform the tasks from the ATLS checklist and practice diagnosing patients. The simulator can also predict the requirement of an ICU room, ventilator and the length of stay for a given trauma patient based on the type and severity of their injury. With our ATLS simulator we aim to provide medical practitioners a comprehensive training module for practicing emergency trauma response.
UR - http://www.scopus.com/inward/record.url?scp=85131956274&partnerID=8YFLogxK
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U2 - 10.1007/978-3-031-06015-1_3
DO - 10.1007/978-3-031-06015-1_3
M3 - Conference contribution
AN - SCOPUS:85131956274
SN - 9783031060144
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 31
EP - 44
BT - Virtual, Augmented and Mixed Reality
A2 - Chen, Jessie Y.
A2 - Fragomeni, Gino
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2022 Held as Part of the 24th HCI International Conference, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -