CAD Data Variables for Adaptive Emergency Dispatch Updates
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Solution Overview
Problem
Call-takers at public safety answering points (PSAPs) face challenges in quickly acquiring sufficient and accurate information for dispatching resources due to evolving incidents or lack of information from callers, leading to insufficient resource allocation over time.
Innovation Solution
A method and system that utilizes a computer-aided dispatch (CAD) system to receive data from multiple sources, create and update data variables, apply analytics to these variables, and generate dispatch commands based on real-time data from video feeds, audio, sensor data, and other sources to ensure accurate and timely resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If call-takers rely on initial information from callers, then dispatching can be initiated quickly, but resource allocation becomes insufficient as incidents evolve
Solution Approach 1:
The system continuously monitors incident data from multiple sources (callers, first responders, social media, sensors) and updates data variables in real-time. This feedback loop allows the dispatch system to adapt resource allocation recommendations based on evolving incident conditions, resolving the contradiction between quick initial dispatch and accurate ongoing resource allocation.
Solution Approach 2:
The system transitions from static initial dispatch decisions to dynamic, real-time resource allocation. Data variables are continuously updated based on incoming information, and dispatch recommendations are automatically adjusted to match the current state of the incident, enabling both rapid response and accurate resource allocation throughout the incident lifecycle.
2Device complexity
If call-takers manually update incident information, then system complexity remains low, but productivity decreases due to time-consuming updates
Solution Approach 1:
The system automatically collects and updates incident data from multiple sources without requiring manual intervention from call-takers. Data variables are populated and updated through automated processes that scrape information from callers, first responders, social media, and sensors, eliminating the time-consuming manual update process while maintaining manageable system complexity.
Solution Approach 2:
The system introduces automated data collection mechanisms as intermediaries between incident sources and the dispatch system. These automated processes act as mediators that continuously gather information from diverse sources and feed it into the data variables, significantly improving productivity without requiring call-takers to manually process each update.
3Measurement precision
If the system uses multiple data sources, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system employs a universal data collection framework that handles multiple data sources (callers, first responders, social media, sensors) through a unified approach. This multi-functional system uses standardized data variable structures and automated collection processes to manage diverse data types, improving measurement precision while controlling complexity through consistent handling mechanisms.
Solution Approach 2:
The system segments data collection into distinct modules for different data sources (caller information, first responder updates, social media monitoring, sensor data). Each segment operates independently but feeds into a centralized data variable structure, allowing the system to achieve high measurement precision through multiple sources while managing complexity through modular organization.
Data Source
AI summary
In order to provide an accurate emergency dispatch to the scene of an evolving emergency incident, a computer-aided dispatch (CAD) system is configured to create a data variable for a particular data input characterizing an aspect of the incident. Using data analytics, the CAD system automatically analyzes ingested data associated with the incident, updates the value of the data variable, and uses the updated value as a basis for generating or updating dispatch commands.