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Communications Technology Laboratory

Public Safety Communications Research Division

Cognitive EMS: An Intelligent Cognitive Assistant for Emergency Medical Services

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CognitiveEMS-SmartEMS_Tech Demo
CognitiveEMS-SmartEMS_Tech Demo
CognitiveEMS is a decision support system that aims to improve the situational awareness of first responders at the incident scene by real-time analysis of speech data from the responders' communications and observations. With this information, the system provides smart suggestions for the best response actions or interventions to perform based on standard protocol guidelines. We will present our EMS data analytics pipeline for real-time speech recognition, natural language processing, and intervention suggestion, as well as a smart module for interacting with the responders in real-time. The smart interaction module collects critical information about different interventions performed by the responder and their timestamps, provides necessary reminders to the responder, and automatically generates an incident report.
*Please note that SmartEMS: A Smart Interaction Module for Cardiac Arrest Cases in Emergency Medical Service is a new component of the CognitiveEMS analytics pipeline, which will be featured this year.

Researcher

  • mir6zw [at] virginia.edu (Arif Rahman), University of Virginia

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Created May 22, 2020, Updated October 26, 2020