Role-Based Incident Data Collection for Public Safety Dispatch
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Solution Overview
Problem
Current systems for public-safety incident response, such as 911 call centers, face inefficiencies in collecting information from callers due to the lack of dynamically adjusted data provision based on the caller's role in the incident, which can hinder appropriate responder dispatch and information conveyance.
Innovation Solution
A device and method that determine the caller's role in a public-safety incident and retrieve relevant data from databases to provide dynamically adjusted questions and instructions to call-takers, utilizing natural language processing and machine learning algorithms to assess the caller's role and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional static data collection methods are used in PSAP systems, then system simplicity is maintained, but information collection efficiency and responder dispatch accuracy deteriorate
Solution Approach 1:
The system dynamically adjusts data collection based on caller role determination. The call-taker interface changes in real-time based on the identified role (victim, witness, first responder, etc.), presenting different sets of questions and data fields. This dynamic adaptation improves information collection efficiency without requiring multiple static systems, as the same system reconfigures itself based on runtime conditions.
Solution Approach 2:
The system changes the parameters of data collection by identifying the caller's role and subsequently adjusting which data fields are presented and how questions are asked. Different roles trigger different data collection protocols, allowing the system to optimize information gathering for each specific scenario while maintaining a unified underlying architecture.
2Measurement precision
If role-based dynamic data collection is implemented, then responder dispatch accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs preliminary role assessment of the caller early in the interaction, determining the caller's role (victim, witness, first responder, etc.) before proceeding with detailed data collection. This preliminary classification enables the system to prepare and present the appropriate data collection template in advance, improving assessment accuracy while organizing complexity into manageable stages rather than requiring all complexity to be simultaneously active.
Solution Approach 2:
The data collection process is segmented into role-specific modules or templates. Each caller role has its own predetermined set of questions and data fields, allowing the system to present only the relevant segment for that particular caller. This segmentation improves precision by focusing on role-specific information while reducing the effective complexity at any given moment, as only one segment is active at a time.
3Loss of information
If comprehensive role-specific questions are asked to all callers, then information completeness is improved, but call handling time increases
Solution Approach 1:
The system applies local quality by tailoring the data collection process to the specific needs of each caller role. Different roles receive different sets of questions and data fields - for example, victims receive medical-related questions while witnesses receive observation-related questions. This ensures that each caller provides only the locally relevant information for their role, achieving role-specific information completeness without requiring all callers to answer all possible questions, thereby reducing overall call handling time.
Data Source
AI summary
A device, system and method for role based data collection and public-safety incident response is provided. A computing device receives a call to report a public-safety incident. The computing device determines a role of a caller on the call, the role of the caller being relative to the public-safety incident. The computing device retrieves, from one or more memories, data dependent on the role of the caller. The computing device controls a notification device to provide the data dependent on the role of the caller.