The sheer volume of data from next generation communication tools and sensors risks overwhelming or distracting first responders from their critical activities. Information overload creates obstacles for first responders to perform their duties safely and efficiently. To address this challenge, artificial intelligence (AI) can provide tailored situational awareness to first responders at the scene. S&T and Defence Research and Development Canada (DRDC)’s Centre for Security Science (CSS), together with NASA Jet Propulsion Laboratory (JPL) and Hastings-Quinte Paramedic Services, conducted a field experiment in June 2019 to test an AI app, Assistant for Understanding Data through Reasoning, Extraction and Synthesis (AUDREY), in Hastings County, Ontario, Canada. As highlighted in the After-Action Report released in September 2020, AUDREY was able to recognize images, such as a photo of a medication, to confirm a drug and its correct dosage and therefore improve patient safety. AUDREY was also successful in recognizing and transcribing basic patient data, such as: patient age, gender, symptoms, pulse, blood pressure, respiration, and oximetry. By using AUDREY to sort through and prioritize data and to relay timely and accurate information to hospitals, paramedics can be better equipped to make life-saving decisions quickly in the field.
Watch the S&T Tech Talk: AUDREY
Attachment | Ext. | Size | Date |
---|---|---|---|
AUDREY Fact Sheet (2018) | 108.81 KB | 05/01/2018 | |
AUDREY Hastings Experiment After Action Report 2020 | 4.23 MB | 02/03/2020 |