Biological Event Reporting Filter System
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Solution Overview
Problem
Current reporting systems are unable to handle the demands of multiple organizations across different jurisdictions and cannot effectively filter and deliver relevant biological events to various receiving entities with varying requirements and privileges, often resulting in irrelevant data being sent to recipients.
Innovation Solution
A system that includes a primary filter to identify reportable biological events and potential receiving organizations, along with secondary filters to evaluate records based on organizational definitions, location filters to ensure demographic criteria alignment, and column level filters to mask sensitive information, ensuring only relevant data is delivered to appropriate entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a reporting system serves multiple jurisdictions with varying requirements, then the system's adaptability improves, but the system complexity increases
Solution Approach 1:
The system segments the filtering process into multiple independent filter components: primary filter for event identification, additional filter for organizational definitions, location filter for demographic criteria, and column level filter for field restrictions. Each filter handles a specific aspect of the reporting requirements, allowing the system to manage multiple jurisdictions without becoming monolithically complex.
Solution Approach 2:
The reporting system is designed as a universal platform that can serve multiple jurisdictions and organizations with varying requirements. The system uses configurable filter criteria and demographic thresholds that can be adjusted for different jurisdictions, allowing a single system to handle diverse reporting needs without requiring separate systems for each jurisdiction.
2Loss of information
If the system filters events for multiple organizations with different requirements, then the relevance of delivered data improves, but the processing time increases
Solution Approach 1:
The system performs preliminary filtering actions by establishing filter criteria and demographic thresholds in advance for each organization. The primary filter pre-identifies reportable events based on jurisdiction-specific criteria, and the location filter pre-establishes geographic boundaries. This preliminary configuration allows the system to quickly evaluate incoming events against pre-defined criteria rather than processing each event from scratch.
Solution Approach 2:
The filtering process is segmented into multiple sequential stages: primary filter for event identification, additional filter for organizational definitions, location filter for geographic criteria, and column level filter for field-specific restrictions. This segmentation allows the system to eliminate irrelevant events at each stage, reducing the overall processing burden while maintaining high data relevance for each organization.
3Loss of information
If the system delivers comprehensive data to all organizations, then the completeness of information improves, but the quantity of transmitted data increases
Solution Approach 1:
The system applies local quality by delivering different data sets with different levels of detail to different organizations based on their specific requirements. The column level filter allows certain fields to be restricted or masked for specific organizations, ensuring that each organization receives data with the appropriate level of completeness for its needs rather than a uniform comprehensive data set for all.
Solution Approach 2:
The data transmission is segmented into organization-specific data sets. The system evaluates each event against each organization's filter criteria and demographic thresholds, then delivers only the relevant portion of data to each organization. This segmentation ensures that each organization receives complete information relevant to its jurisdiction while avoiding transmission of irrelevant data to other organizations.
4Measurement precision
If the system applies multiple filtering criteria, then the precision of event identification improves, but the device complexity increases
Solution Approach 1:
The filtering system is segmented into multiple independent filter components, each responsible for a specific aspect of event identification: primary filter for basic event criteria, additional filter for organizational definitions, location filter for geographic criteria, and column level filter for field restrictions. This segmentation allows the system to achieve high precision through multiple criteria while managing complexity by keeping each filter component independent and modular.
Data Source
AI summary
A system and method are provided for processing reports of biological events in order to filter the reports and output the reports to appropriate institutions and individuals for reporting. The system includes a primary filter for receiving a record, evaluating an event contained within the record, identifying any potential receiving organization based on the event evaluation, and creating a record for each potential receiving organization. The system may also include additional filters such as secondary filters, location filters, and column level filters for limiting the records created by the primary filter based on definitions provided by the receiving institutions.