Insurance Data Update Automation via Rule Validation
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Solution Overview
Problem
Current systems for updating insurance-related information, such as claim information, require manual intervention by insurance agents, which is inefficient and lacks customer autonomy.
Innovation Solution
A computer-implemented method and system that allows insurance customers to enter and update their own information by comparing desired changes with predefined update rules, determining compliance, and automatically updating the data if the changes are valid, while ensuring business rules are adhered to.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual updating by insurance agents is used, then data accuracy and business rule compliance are maintained, but operational efficiency and customer autonomy deteriorate
Solution Approach 1:
The system enables customers to independently update their own insurance data through a self-service interface. Customers can directly input and submit update requests without requiring agent intervention, while the system automatically validates changes against business rules. This resolves the contradiction by granting customer autonomy while maintaining data accuracy through automated validation.
Solution Approach 2:
The manual mechanical process of agent-customer interaction is replaced with an automated electronic system. The system uses computer-readable instructions to automatically receive customer updates, validate them against stored business rules, and process approved changes. This substitution eliminates the need for manual agent intervention while preserving data integrity through rule-based validation.
2Productivity
If automated updating is implemented, then operational efficiency and customer autonomy are improved, but system complexity increases
Solution Approach 1:
The system is segmented into distinct functional modules: a customer interface for receiving updates, a validation module for checking business rules, and a processing module for implementing approved changes. This segmentation manages complexity by organizing the automated system into manageable, independent components that can be developed and maintained separately.
Solution Approach 2:
The system introduces an intermediary validation layer between customer input and data processing. Before customer updates are applied, they are automatically checked against stored business rules to ensure compliance. This intermediary mechanism manages system complexity by handling validation logic separately from the core update processing.
3Reliability
If automated validation against business rules is implemented, then data accuracy is maintained, but processing time increases
Solution Approach 1:
Business rules are pre-loaded and stored in the system before customer updates are received. The validation process simply compares customer input against these pre-established rules rather than performing complex real-time analysis. This preliminary preparation of validation criteria maintains data accuracy while minimizing processing time during actual update operations.
Data Source
AI summary
The present disclosure generally relates to systems and methods for automatically updating data representative of insurance related information. In particular, the present disclosure relates to systems and methods for automatically updating data representative of insurance related information based on data, representative of desired updates, entered by a customer and data representative of update rules. The data representative of desired updates may be compared to the data representative of the update rules to generate updates to data representative of insurance related information.