Abstract: An emergency response system is operable to provide artificial intelligence (AI)-based CAD interface (e.g., read/write/action), in accordance with aspects of the disclosure. The emergency response system includes an emergency response data system (ERDS) that hosts emergency management applications that are operable on ECC computing systems. Client-side components and/or back-end components work together in concert with agentic AI (e.g., an AI agent, one or more large language models (LLMs), machine learning (ML), etc.) to extract CAD data from a screenshot of a CAD user interface (UI) operating at an ECC. An AI agent and/or LLMs may be operable to condition (e.g., format) the data into, for example, a payload that may be used to: deliver the data to another CAD system, populate a protocol tool/form integrated into the emergency management application, and/or perform CAD dispatch operations from the emergency management application.

Abstract: An emergency response data system (ERDS) integrates an artificial intelligence (AI) system into an emergency management application to generate emergency response analytics to facilitate operational efficiency of one or more ECCs. The ERDS provides an emergency management application operable by an emergency communications center (ECC) computing system to display an emergency management user interface (UI) at one or more ECCs. The ERDS stores, in one or more data structures, historical emergency response analytics. The ERDS receives, with the emergency management UI, user instructions related to the historical emergency response analytics. The ERDS provides the user instructions to the AI system. The AI system provides a response to the user instructions. The ERDS displays, with the emergency management UI, one or more data windows to visual data based on the AI system response and based on the historical emergency response analytics.

Abstract: A cloud-based emergency management system provides an instance of a cloud-based emergency response application to a first emergency dispatch center via a first graphical user interface (GUI) accessed using a web browser. The first GUI has an incident queue within a first panel showing incidents associated with respective emergency alerts. Each incident queue entry has an associated phone number from which an emergency call originated. An interactive map is positioned within a second panel and shows location markers for the incidents. Emergency data received has a device identifier and device-based hybrid location from a mobile device. The system shares an incident associated with the device identifier within the incident queue of the first emergency dispatch center with a second emergency dispatch center having a second GUI, and provides an incident location marker within the interactive map of the first GUI and the second GUI.

Abstract: Described herein are systems, devices, methods, and media for facilitating communications between emergency service providers and low acuity emergency service providers and managing low acuity responses to emergencies.

Abstract: An emergency response data system (ERDS) provides artificial intelligence (AI)-based emergency notifications to operations centers using radio-based dispatches from emergency communications center (ECC). The ERDS receives audio data of a radio-based dispatch of first responders to a location of an initiated emergency communication. The ERDS provides the audio data to an AI model with a prompt to transcribe the audio data into a radio dispatch transcript. The ERDS provides the radio dispatch transcript to the AI model with a prompt to analyze the radio dispatch transcript to extract a location of the initiated emergency communication from the radio dispatch transcript. The ERDS provides an AI-based emergency notification to an emergency response application that is operable to display the AI-based emergency notification on an operations center computing system. The AI-based emergency notification includes the location of the initiated emergency communication.

Abstract: A disclosed method implements: determining, by a cloud server, a geofence surrounding a section of a roadway at a crossing of train tracks, the geofence comprising geofence coordinates; monitoring, by the cloud server, railway sensor and telematics data related to trains running on the train tracks at the crossing; predicting that a train will approach the crossing at a predicted time; generating a warning message in response to predicting that a train will approach the crossing at a predicted time; and sending the warning message to a vehicle located within the geofence.

Abstract: A disclosed method of operating an emergency data management system includes: obtaining emergency data related to an emergency call to an emergency communication center (ECC) by a cloud server of the emergency data management system independent from the ECC; obtaining an address for the emergency call via a connectivity device located at the ECC, where the connectivity device is operatively coupled to the cloud server; matching the address to an ECC computer-aided-dispatch (CAD) system incident record address; and sending the emergency data to the ECC CAD system incident record corresponding to the matched CAD system incident record address.

Abstract: A disclosed data exchange cloud computer system includes a plurality of cloud servers. Each cloud server of the plurality of cloud-servers is operative to: provide an application programming interface operative to establish a plurality of links to a plurality of agency computer systems, where the links enable data exchange between the plurality of agency computer systems; and provide configurable state machines, operative to facilitate data exchange between the plurality of agency computer systems.

Abstract: Described herein are systems, devices, methods, and media for an emergency response data exchange system. The system provides an operations center emergency management application with a textual and/or graphical notification of emergency communications initiated on a premises managed by the operations center. The system exchanges operations center data (e.g., floorplans, video feeds, point of contact information, building access controls) with an emergency communications center (ECC) and/or with a first responder device to facilitate reducing emergency response times. The system selectively establishes communications (e.g., messaging windows) between the operations center, ECC, and/or first responder device to facilitate real-time information sharing between relevant parties of an emergency.

Abstract: A disclosed method implements sending emergency data from a cloud server to an emergency network entity, where the emergency data is received by the cloud server from a mobile device; performing a verification operation for an emergency responder device located in proximity to a location of the mobile device; sending a link to the emergency responder device in response to the emergency network entity receiving the emergency data, and the verification operation being successful; and establishing a data connection with the emergency responder device in response to selection input from the emergency responder device selecting the link.

Abstract: A disclosed method implements: receiving, by a cloud server, a plurality of video streams from a plurality of cameras located near an emergency scene; generating a combined video stream by performing graphics processing operations on the plurality of video streams; generating an overlay data layer for the combined video stream; and providing the combined video stream with the overlay data layer to an emergency communication center (ECC) via an instance of a cloud application executing on a computing device at the ECC, the cloud application provided by the cloud server.

Abstract: An emergency response data system (ERDS) integrates an AI agent network into an emergency management application to generate emergency response analytics to facilitate operational efficiency of one or more ECCs. The ERDS provides an emergency management application operable by an emergency communications center (ECC) computing system to display an emergency management user interface (UI) at one or more ECC. The ERDS stores, in one or more data structures, historical emergency response analytics. The ERDS receives, with the emergency management UI, user instructions related to the historical emergency response analytics. The ERDS provides the user instructions to the AI agent network. The ERDS generates, with the AI agent network, emergency response suggestions. The AI agent network includes a number of AI agents communicatively coupled together to analyze emergency response data and generate suggestions to facilitate operational efficiency of an ECC.

Abstract: Disclosed herein is an emergency response data platform (ERDP) that facilitates data exchange between various data sources and various data recipients. The ERDP may establish communication links with each of the various data sources and recipients and leverage these communication links to function as emergency data exchange between the data sources and/or recipients, for example, between different Public Safety Answering Points.

Abstract: Described herein are systems, devices, methods, and media for facilitating communications between emergency service providers and low acuity emergency service providers and managing low acuity responses to emergencies.

Abstract: Disclosed herein are methods, systems and GUIs for providing situational awareness about emergency incidents to emergency service providers (ESPs), for example, between different Public Safety Answering Points. In particular, the use of data indicators, notifications and banners can be used to provide a GUI rich in situational awareness for efficient emergency response.

Abstract: A cloud-based emergency data management system with emergency response logic that has a network component operative to connect to a PSAP (public safety access point) via a local area network connection to the PSAP and to support at least one local connection to a PSAP network entity of the PSAP, and further operative to maintain an Internet Protocol (IP) connection to a cloud-based server; and a processor, operatively coupled to the network component and that is operative to receive voice-over-internet-protocol (VOIP) emergency call data via the local connection to the PSAP network entity. The cloud-based server is operative to: maintain the IP connection with the emergency response logic; and provide a cloud-based application instance to a PSAP workstation via a browser executing on the PSAP workstation; and provide the VoIP emergency call data within a map view of a graphical user interface.

Abstract: A disclosed method implements: providing a jurisdictional map view to a plurality of emergency network entities, each emergency network entity corresponding to a given geographic boundary, the jurisdictional map view corresponding to a respective emergency network entity's geographic boundary and comprising a plurality of layers; determining portions of emergency data, related to each layer of the plurality of layers, the portions of emergency data corresponding to emergencies occurring within each respective emergency network entity's geographic boundary; providing at least one location indicator within a first layer of each respective jurisdictional map view, with each location indicator corresponding to an emergency; and providing a second layer providing information relevant to the emergency.

Abstract: A disclosed method includes: receiving, by a cloud server, emergency data from a mobile device that placed an emergency call; determining that the mobile device is located within the jurisdiction of a first ECC, in response to receiving the emergency data; determining that the emergency call has been rerouted to a second ECC; and notifying the first ECC that the emergency call was rerouted to the second ECC.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing emergency communication translation and functions. An embodiment operates by receiving a first emergency communication to be sent to an emergency service provider. The embodiment determines, from the first emergency communication, that a language associated with the first emergency communication is different from a standard language. In response to the determining, the embodiment generates a second emergency communication based on the first emergency communication, where the second emergency communication is in the standard language. The embodiment then sends the second emergency communication to the emergency service provider.