Emergency Dispatch Logic Tree for Hate Crime Identification
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Solution Overview
Problem
Existing automated emergency dispatch systems are inadequate for processing hate crimes and bias-motivated anti-social behavior, as they lack the ability to gather and assess relevant factors, and dispatchers, often inexperienced, struggle to identify and handle such situations effectively.
Innovation Solution
A computer-implemented emergency dispatch system with a logic tree-based protocol that includes preprogrammed inquiries and instructions, a determinant value calculator, and diagnostic tools to guide dispatchers in processing emergency calls involving hate crimes and bias-motivated incidents, providing consistent and predictable responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing automated emergency dispatch systems are used, then general emergency calls can be processed, but hate crimes and bias-motivated anti-social behavior cannot be properly identified and handled
Solution Approach 1:
The dispatch protocol is segmented into distinct modules: a case entry protocol for general emergencies, a hate crime diagnostic tool for identifying bias-motivated incidents, and a logic tree-based protocol for processing such incidents. This segmentation allows the system to specialize in handling hate crimes while maintaining general emergency response capabilities.
Solution Approach 2:
The system introduces an intermediary diagnostic tool and protocol structure that mediates between the general dispatch system and the specialized handling of hate crimes. The logic tree protocol acts as an intermediary framework that guides dispatchers through systematic interrogation and assessment specific to hate crime scenarios.
2Ease of operation
If dispatchers rely on their own judgment and experience, then flexibility in handling calls is maintained, but consistency and accuracy decrease due to inexperience
Solution Approach 1:
The system performs preliminary actions by providing dispatchers with preprogrammed inquiries, instructions, and a logic tree protocol before the actual call handling. These pre-prepared tools guide dispatchers through the information collection process, ensuring consistency while maintaining their operational autonomy.
Solution Approach 2:
The logic tree protocol provides continuous feedback to dispatchers based on caller responses, dynamically adjusting the interrogation path. This feedback mechanism ensures consistent information collection while allowing dispatchers to maintain their judgment and adapt to specific call scenarios.
3Measurement precision
If comprehensive information gathering is implemented, then accuracy in identifying hate crimes improves, but call processing time increases
Solution Approach 1:
The protocol is designed to be dynamic, adjusting the depth and breadth of information gathering based on initial caller responses and suspected incident type. The logic tree allows the system to quickly identify hate crime patterns while maintaining the option to gather comprehensive information only when necessary, balancing accuracy with processing time.
Data Source
AI summary
Systems and methods are provided to guide an emergency dispatcher in responding to emergency calls involving a hate crime or other anti-social behavior. The systems and methods can include an emergency police dispatch protocol configured to facilitate uniform and consistent gathering of information about an incident being reported. The emergency police dispatch protocol includes one or more dispatch protocols configured for particular incidents or emergency situations, such as to aid the dispatcher in processing calls relating to anti-social behavior. The emergency police dispatch protocol presents a pre-scripted interrogation, including preprogrammed inquiries for a dispatcher to ask the caller. The pre-scripted interrogation of the dispatch protocol facilitates uniform and consistent gathering of information relating to hate crimes and other anti-social behavior. The information gathered can be stored and/or processed to determine a determinant value corresponding to an appropriate emergency dispatch response.