Decision Tree Incident Code Selection
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Solution Overview
Problem
Law enforcement officers face challenges in selecting accurate incident codes from a large number of options, leading to increased time spent on reporting and poor data quality due to the lack of guidance in existing systems.
Innovation Solution
Implementing a decision tree system within records management systems that guides users through a series of questions to determine the exact incident code, utilizing Kullback-Leibler divergence to efficiently organize and select codes, and allowing for sparse data sets and irregularities in attribute application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a large number of incident codes are provided in the records management system, then the system can cover all possible incident types, but users spend excessive time searching for the correct code and data accuracy decreases
Solution Approach 1:
The patent segments the large set of incident codes into hierarchical groups and categories. Instead of presenting all codes at once, the system divides them into manageable segments organized by incident type, allowing users to navigate through structured categories rather than searching through the entire code set, thereby reducing search time while maintaining comprehensive coverage.
Solution Approach 2:
The patent introduces an intermediary classification system between the user and the incident codes. This intermediary layer provides guided navigation through hierarchical categories and uses algorithms to suggest relevant code groups based on incident characteristics, acting as a mediator that reduces the cognitive load and time required to select appropriate codes while ensuring accurate categorization.
2Adaptability or versatility
If users are presented with thousands of incident code options, then complete incident categorization is possible, but code selection accuracy decreases due to user overload
Solution Approach 1:
The patent applies local quality by providing different levels of code detail and guidance based on the specific incident context. The system dynamically adjusts the presentation of codes to show only relevant options at each stage, with varying degrees of specificity and guidance tailored to the incident type being reported, thereby improving selection accuracy without sacrificing categorization completeness.
Solution Approach 2:
The patent incorporates feedback mechanisms that guide users through the code selection process. The system provides real-time feedback by suggesting relevant code categories based on incident characteristics, confirming selections, and offering corrective guidance when inappropriate codes are chosen, thereby improving accuracy while maintaining comprehensive categorization capability.
3Device complexity
If traditional incident code selection methods are used, then system simplicity is maintained, but reporting efficiency and data quality deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-organizing incident codes into hierarchical structures and pre-configuring classification rules before users need to select codes. The system performs preliminary sorting, grouping, and algorithmic preparation of code options based on incident characteristics, so that when users need to select codes, the work has already been done, improving reporting efficiency without significantly increasing perceived system complexity.
4Adaptability or versatility
If comprehensive incident code options are provided without guidance, then all incident types can be captured, but data quality and adherence to reporting standards decrease
Solution Approach 1:
The patent applies dynamics by making the code selection interface adaptive and responsive to the specific incident being reported. The system dynamically adjusts which codes are presented, in what order and level of detail, based on incident characteristics, user selections, and reporting requirements. This dynamic adaptation ensures comprehensive incident type coverage while guiding users toward accurate selections, thereby improving data quality and adherence to reporting standards.
Data Source
AI summary
A processing device receives a request to create a report. The processing device generates one or more questions pertaining to a decision tree, the decision tree linking one or more attributes to one or more corresponding incident codes. The processing device displays one or more answers corresponding to the one or more questions. The processing device utilizes the one or more answers to traverse the decision tree to arrive at more questions. Responsive to the processing device determining that the traversal of the decision tree results in an arrival at an incident code, the processing device generate a report template using the determined incident code.