Predictive Fallout Correction for Fax Prescription Requests

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Solution Overview

Problem

Prescription fill requests submitted via fax documents lack standardized electronic field labels, leading to difficulties in processing due to varied formats and layouts, which existing systems struggle to address effectively.

Innovation Solution

A computer system equipped with a predictive analyzer module and a fallout transaction history record database processes fax-based requests by searching historical records for matching field values, updating errors, and validating requests, with options for administrator review if validation fails.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If fax documents are processed without standardized field labels, then the system can accept multiple formats and layouts, but the accuracy of data extraction deteriorates

Engineering Contradiction:

Improveability to handle multiple fax formatsVSAvoiddata extraction accuracy

Core Design Contradiction:

Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The system performs preliminary actions by searching historical fallout transaction records before processing the current fax document. It determines a database search type based on field values and error fields, then accesses and searches historical records to predict and correct data extraction errors, thereby improving accuracy while maintaining format flexibility

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from historical fallout transaction records to improve current data extraction. By comparing current fax data with historical records of similar transactions, the system identifies patterns and corrects extraction errors, enhancing measurement precision while preserving adaptability to various formats

Inventive Principle:

Principle #23Feedback

2Productivity

If automated processing is implemented for fax documents, then processing throughput improves, but the complexity of the system increases

Engineering Contradiction:

Improveprocessing throughputVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs self-service by automatically searching historical records, determining search types, accessing relevant data, and validating corrections without requiring manual intervention. The automated request processor handles the entire workflow from receipt to validation, improving throughput while managing complexity through structured automation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The automated request processor serves multiple functions: receiving fax documents, determining search types, accessing historical records, searching for matching records, updating error fields, validating corrections, and transmitting processed requests. This multi-functionality consolidates processing steps into a single system, improving productivity while organizing complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

3Measurement precision

If historical records are searched and used for corrections, then the accuracy of field values improves, but the processing time increases

Engineering Contradiction:

Improvefield value accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system applies partial action by searching only the necessary portion of historical records based on the determined search type and field values. It accesses at least a portion of historical fallout transaction records rather than processing all records, thereby improving field value accuracy while minimizing the time required for historical data retrieval and analysis

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12493608B2Automated file correction and fallout processing for failed database entities

Publication Date: 2025.12.09 EXPRESS SCRIPTS STRATEGIC DEVELOPMENT INC

AI summary

A computer system includes memory hardware configured to store a predictive analyzer module, and a fallout transaction history record database including multiple historical fallout transaction records each associated with a database entity. Processor hardware is configured to execute instructions including receiving a fallout transaction request, determining a database search type according to at least one error field of the fallout transaction request, and searching, via the predictive analyzer module, to identify at least one of the multiple historical fallout transaction records associated with one or more field values of the fallout transaction request and the at least one error field. In response to identifying a matching one of the multiple historical fallout transaction records, the instructions include updating the at least one error field of the fallout transaction request, and transmitting the updated fallout transaction request to an automated request processor in response to a successful validation.