Regulatory Intelligence System Data Consolidation
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Solution Overview
Problem
The consolidation of regulatory data from various government and private sources is hindered by inconsistencies in data formats, user interfaces, and definitions, making it difficult for agencies and industries to perform comprehensive regulatory performance assessments and stay current with changing compliance trends.
Innovation Solution
A system and method for collecting, collating, analyzing, and reporting regulatory compliance data from multiple sources, including government databases and web pages, which creates a unified topic record to reduce duplication and redundancy, and enables broad and narrow searches, presenting integrated data in a consistent format through a LAN, WAN, desktop, or web interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If regulatory data from multiple agencies is consolidated into a single system, then regulatory intelligence and performance assessment capability is improved, but system complexity and resource requirements increase significantly
Solution Approach 1:
The patent employs an intermediary layer (data consolidation system) that sits between multiple regulatory agency databases and users. This intermediary consolidates data from diverse sources without requiring changes to the original agency systems, thereby reducing complexity while improving accessibility. The system acts as a mediator that standardizes and integrates data from FDA, EPA, OSHA and other agencies without forcing them to change their existing infrastructure.
Solution Approach 2:
The consolidation system is designed with universal functionality to handle data from multiple different regulatory agencies with varying data formats and structures. It provides a single unified interface that can query and display regulatory intelligence across all agencies, eliminating the need for separate access systems for each agency and reducing overall system complexity for users.
2Productivity
If data formats and definitions are standardized across all regulatory agencies, then data integration efficiency is improved, but implementation cost and time increase
Solution Approach 1:
The system applies parameter changes by implementing data standardization protocols that transform diverse regulatory data formats into a unified structure. It modifies data representation parameters (formats, definitions, coding schemes) across different agency sources without requiring physical changes to the source systems, thereby improving integration efficiency while minimizing implementation time through software-based transformations.
3Ease of operation
If comprehensive regulatory data is made accessible through a single interface, then user efficiency is improved, but data consistency and quality control become more difficult
Solution Approach 1:
The consolidation system implements feedback mechanisms that continuously monitor and validate data quality from multiple regulatory sources. It includes data verification processes that check for consistency, completeness, and accuracy before integration. The system provides feedback loops that identify and flag data quality issues, allowing for corrective actions while maintaining the single-point-access interface that improves user efficiency.
Data Source
AI summary
A system and method are disclosed for locating, collecting, collating, analyzing, and reporting on summarized data that is generated from regulatory compliance matter data. Data is collected and compiled from multiple sources, including government databases, web pages, and regulatory documents; These collected data are consolidated and reconciled. A single topic record is created for a person, company, or product. Duplication and redundancy within the information are reduced. Corrections in data format are made for inconsistencies that exist between different information sources. Broad and/or narrow searches are enabled with the retrieval of information and/or relevant documents. The integrated data and associated analyses can be presented in reports that can be made accessible through a LAN, a WAN, a desktop, and/or a web interface.