Description The United States Department of Homeland Security (DHS) Directorate of Science and Technology (S&T) Office of National Laboratories (ONL) National Urban Security Technology Laboratory (NUSTL) is not seeking proposals at this time. NUSTL is seeking information on Artificial Intelligence (AI)-facilitated emergency medical services call center software.  NUSTL is interested in identifying software products that will provide users with an AI solution to address one or multiple needs of an Emergency Medical Service (EMS) call center to supplement human-in-the-loop operators.  Specifically, EMS call center operators would use AI-facilitated software products to improve efficiency and accuracy of triaging conducted at call centers by supporting and identifying appropriate resources in response to medical calls. Information submitted in response to this RFI must be for AI-facilitated EMS call center software products must be Commercial-Off-The-Shelf (COTS) or Government-off-the-shelf products that are available to the first responder community and meet the following minimum requirements (additional optional capabilities will be included in an associated required questionnaire): Compliant with Health Insurance Portability and Accountability Act (HIPAA) regulations. AI software will use encryption, both at rest and in transit. AI software will have the ability to be updated with applicable security patches via protected channels. AI software is able to access databases typically available to EMS call centers, such as historical records, the status of resources, road conditions and traffic, and real-time audio. AI software will not require call center personnel resources beyond the typical staffing of call centers. AI software will not require access to real-time video to provide support but may include the use of video as part of its functionality when available. AI software will process and synthesize information in real-time. Information furnished to the EMS call center operator by the products should include, but are not limited to, the determination of the nature of medical emergencies, the most appropriate response given available resources, and/or identification of protocols to consider. Read more here.