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Considering human cognitive architecture in stressful medical prehospital interventions might benefit care providers
Andrew W Kirkpatrick1, Jessica L McKee2, Robert Barrett2
1From the Tele-Mentored Ultrasound Supported Medical Interaction (TMUSMI) Research Group, Calgary, Alta. (Kirkpatrick, McKee); Departments of Critical Care Medicine, Surgery, and the Trauma Program, Calgary, Alta. (Kirkpatrick); the University of Alberta School of Public Health, Edmonton, Alta. (Barrett); the Ready Medic One (RMO) Research Group, Tacoma, Wash. (Couperus); and the National Science Foundation, School of Industrial Engineering, Purdue University, West Lafayette, Ind. (Wachs). andrew.kirkpatrick@ahs.ca.
Abstract:
People suffering from critical injuries/illness face marked challenges before transportation to definitive care. Solutions to diagnose and intervene in the prehospital setting are required to improve outcomes. Despite advances in artificial intelligence and robotics, near-term practical interventions for catastrophic injuries/illness will require humans to perform unfamiliar, uncomfortable and risky interventions. Development of posttraumatic stress disorder is already disproportionately high among first responders and correlates with uncertainty and doubts concerning decisions, actions and inactions. Technologies such as remote telementoring (RTM) may enable such interventions and will hopefully decrease potential stress for first responders. How thought processes may be remotely assisted using RTM and other technologies should be studied urgently. We need to understand if the use of cognitively offloading technologies such as RTM will alleviate, or at least not exacerbate, the psychological stresses currently disabling first responders.
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