Automated Message Map Generation from Unstructured Standards
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Solution Overview
Problem
Current methods for generating and validating messages conforming to standards like SWIFT, EDIFACT, and HIPAA are manual and resource-intensive, requiring significant human effort to update and maintain message formats and semantic validation rules.
Innovation Solution
A system and method that scans unstructured data defining message formats and semantic validation rules, converting them into structured data for storage in a database, which is then processed to automatically generate maps for message formats and validation rules, thereby automating the generation and validation of messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used to generate and validate messages conforming to standards, then flexibility and adaptability in handling complex standards are maintained, but significant human resources and time are required
Solution Approach 1:
The system enables self-service by allowing message formats and validation rules to automatically generate and update themselves. The scanner automatically extracts information from standard documents and generates corresponding message formats and validation rules without human intervention, making the system self-sufficient in maintaining compliance with evolving standards.
Solution Approach 2:
The system performs preliminary action by proactively scanning and incorporating updates from standard documents before they are needed for message processing. By continuously monitoring and updating message formats and validation rules in advance, the system ensures compliance is maintained without reactive manual intervention.
2Reliability
If manual updates are performed to maintain message formats and validation rules, then accuracy in compliance with standards can be ensured through human review, but the process becomes resource-intensive and time-consuming
Solution Approach 1:
The system implements feedback by continuously scanning standard documents and automatically comparing them against currently stored message formats and validation rules. When discrepancies or updates are detected, the system automatically generates updated versions, ensuring continuous compliance with the latest standards without manual review cycles.
Solution Approach 2:
The patent replaces the mechanical system of manual human review and updating with an automated electronic scanning and generation system. The processor-based scanner automatically extracts, parses, and generates message formats and validation rules from standard documents, substituting human mechanical processes with electronic automation while maintaining or improving accuracy.
3Manufacturing precision
If comprehensive validation rules are implemented to ensure message compliance, then message quality and standard adherence are improved, but the complexity of maintaining and updating these rules increases
Solution Approach 1:
The system achieves universality by creating a single integrated message generator that handles multiple message formats and validation rules for different standards (SWIFT, EDIFACT, HIPAA, etc.). This universal system automatically adapts to various standards through the scanning mechanism, eliminating the need for separate manual maintenance processes for each standard and reducing overall system complexity.
Data Source
AI summary
Arrangements described herein relate to automating generation of maps containing message formats and semantic validation rules. First unstructured data defining message formats for messages that conform to a particular standard and second unstructured data defining semantic validation rules to be applied to validate the messages can be scanned. First structured data corresponding to the first unstructured data defining the message formats and second structured data corresponding to the second unstructured data defining the semantic validation rules can be stored into a database. The first structured data and second structured data are configured to be processed to automatically generate a map comprising message formats and sematic validation rules for use in generating messages that conform to the particular standard and validating the messages.