@inproceedings{5c71aa95b72f441092ae73b6b041fe7e,
title = "emsReACT: A Real-Time Interactive Cognitive Assistant for Cardiac Arrest Training in Emergency Medical Services",
abstract = "EMS (emergency medical services) deals with cardiac arrest cases more frequently than any other fatal health conditions all over the world. In this situation, a sequence of complex and time sensitive interventions is performed to ensure the safe recovery of the patient. We have developed emsReACT, a real-time interactive cognitive assistant, to train EMS providers for cardiac arrest cases in an emergency situation. This customized tool interacts in real-time with the first-responder and collects critical information. Using the conversational audio data available at EMS training sessions, emsReACT provides responder-specific decision support during the training based on domain specific information extraction, context-aware tracking of cardiac arrest protocols, and the dynamically changing condition of the patient. emsReACT leverages a dynamic behavioral model and a task-graph of two frequently used cardiac arrest EMS protocols. We have developed an intelligent abstraction mechanism with a critical risk-rating that drives an anytime algorithm to meet time requirements for regular and critical situations. Our thorough experimentation reveals an average end-to-end time of 2.7 seconds and 1.8 seconds for regular and critical interventions, thereby meeting the time requirements of 7 and 3 seconds, respectively. A qualitative study also reflects that over 70\% of the 31 surveyed EMS providers rate the system as helpful to properly train the first-responders for executing cardiac arrest protocols.",
keywords = "Emergency medical services, Intelligent systems, Interactive cognitive assistance, Medical technologies",
author = "Rahman, \{M. Arif\} and Leon Jia and Eimara Mirza and Preum, \{Sarah Masud\} and Homa Alemzadeh and Williams, \{Ronald D.\} and Stankovic, \{John A.\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023 ; Conference date: 19-06-2023 Through 21-06-2023",
year = "2023",
month = jun,
day = "1",
doi = "10.1109/DCOSS-IoT58021.2023.00031",
language = "English",
isbn = "9798350346497",
series = "2023 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "120--128",
booktitle = "Proceedings - 19th International Conference on Distributed Computing in Smart Systems and the Internet of Things, DCOSS-IoT 2023",
address = "United States",
}