Hierarchical Exception Record Validation for Batch Resolution

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Solution Overview

Problem

Healthcare providers face inefficiencies and errors in manual intra-record validation processes for exception records, which can lead to cross-record inconsistencies and conflicts, particularly in specialized fields like anesthesia, due to the time-consuming and error-prone nature of reviewing and correcting discrepancies across related records.

Innovation Solution

An automated batch processing system with a graphical user interface that includes a hierarchical view of exception records, allowing for intra-record resolution and automatic inter-record validations, such as time concurrency and modifier checks, to streamline the validation process and minimize manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual intra-record validation is performed, then individual record accuracy is improved, but processing time and operational complexity increase

Engineering Contradiction:

Improverecord validation accuracyVSAvoidprocessing time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs self-validation by automatically executing inter-record validation rules against batches of records. The validation logic is embedded within the system itself, eliminating the need for manual review while maintaining high accuracy through automated detection of cross-record conflicts and inconsistencies.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

Manual mechanical validation processes are replaced with automated computational validation. The system uses algorithms to systematically check records against validation rules, substituting human operators with automated software that can process multiple records simultaneously without time constraints.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If manual review and correction of exception records is performed, then error detection is improved, but productivity decreases

Engineering Contradiction:

Improveerror detection capabilityVSAvoidrecord processing throughput

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The validation process is segmented into distinct automated components: inter-record validation rules are separated into specific check types (conflict detection, consistency validation, completeness verification). Each segment operates independently on batches of records, enabling parallel processing and maintaining high productivity while ensuring comprehensive error detection through specialized validation logic.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Inter-record validation rules are applied preliminarily to batches of records before final processing. By pre-validating records against cross-record constraints and identifying potential conflicts early in the workflow, the system prevents error propagation and reduces the need for later corrective manual intervention, thereby maintaining high productivity.

Inventive Principle:

Principle #10Preliminary action

3Speed

If intra-record validation is performed without inter-record validation, then processing speed is improved, but data consistency across records deteriorates

Engineering Contradiction:

Improvevalidation processing speedVSAvoidcross-record data consistency

Core Design Contradiction:

SpeedVSStability of the object's composition

Solution Approach 1:

Intra-record and inter-record validation are merged into a unified automated validation framework. The system combines individual record validation with cross-record validation rules that simultaneously check for internal consistency and external conflicts. This integrated approach maintains processing speed by executing both validation types in a single automated pass while ensuring data consistency across the entire record batch.

Inventive Principle:

Principle #5Merging (Combining)

4Productivity

If automated batch processing with inter-record validation is implemented, then productivity is improved, but system complexity increases

Engineering Contradiction:

Improvebatch processing throughputVSAvoidvalidation system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated validation system is designed with universal, multi-functional validation rules that can handle multiple types of checks (conflict detection, consistency validation, completeness verification) through a single unified framework. This multi-functionality allows the system to process batches of records comprehensively without requiring separate complex subsystems for each validation type, thereby maintaining manageable system complexity while achieving high productivity.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS12462910B2Systems and methods for automated validation and resolution of exception records

Publication Date: 2025.11.04 TECHNOLOGY PARTNERS LLC D B A IMAGINESOFTWARE

AI summary

In some embodiments, a method for automated batch processing of a plurality of exception records includes displaying an automated batch processing graphical user interface comprising: a batch explorer user interface container that includes a hierarchical view of a plurality of exception record batches, a first artifact user interface component that is configured to display a plurality of top-level exception records associated with an exception record batch selected in the batch explorer user interface element, a second artifact user interface component that is configured to display a plurality of sub-level exception records subordinate to a top-level exception record selected in the first artifact user interface component, and a plurality of editable user interface fields that are configured to receive input for modifying a plurality of attributes associated with a sub-level exception record selected in the second artifact user interface component.