Abstract
In Tactical Combat Casualty Care (TCCC), medics perform Role 1 care for battlefield casualties at point of injury by stabilizing them and transporting them to field care facilities such as a Battalion Aid Station (Role 2) or Field Hospital (Role 3) where clinicians provide critical care. Care provider experience and ability vary, and training in the field can help to improve recall and performance of infrequently used critical care skills. This becomes more necessary during Prolonged Field Care (PFC) when evacuation is not immediately available and more complex treatment may be required. Our Trauma Triage Treatment and Training Decision Support (4TDS) project has developed a decision support system (DSS) for Roles 1 and 2. As an application on a Android smart phone and tablet, 4TDS includes training scenarios in skills such as shock identification and management. 4TDS pairs with various vital signs sensors that can stream data for a machine learning algorithm that can detect the probability of shock in a casualty. A "silent test" is comparing algorithm performance with actual clinical diagnoses at Mayo Clinic, Rochester, MN. Usability assessment in an austere field setting will enable us to determine medic and clinician acceptance of 4TDS and how well it supports their decision making. Faster, more accurate decisions can improve TCCC patient care under conditions in which delays can increase morbidity and mortality.
Original language | English (US) |
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Title of host publication | 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 3194-3199 |
Number of pages | 6 |
Volume | 2020-October |
ISBN (Electronic) | 9781728185262 |
DOIs | |
State | Published - Oct 11 2020 |
Event | 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 - Toronto, Canada Duration: Oct 11 2020 → Oct 14 2020 |
Conference
Conference | 2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 |
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Country/Territory | Canada |
City | Toronto |
Period | 10/11/20 → 10/14/20 |
Keywords
- human-computer interaction
- information visualization
- user interface design
ASJC Scopus subject areas
- Software
- Control and Systems Engineering
- Human-Computer Interaction
- Computer Science Applications
- Electrical and Electronic Engineering