Automated Patient Payment Estimate Validation System

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Manual validation of patient payment estimates for healthcare services is time-consuming and prone to human error, lacking efficiency and accuracy.

Innovation Solution

An automated system for periodically reviewing and comparing patient payment estimates with claims and payments, providing metrics for validation or invalidation through a dashboard for drill-down analysis, utilizing an estimate analysis engine to match and analyze discrepancies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual validation of patient payment estimates is performed, then accuracy can be maintained through human review, but the process becomes time-consuming and inefficient

Engineering Contradiction:
Improvevalidation accuracyVSAvoidvalidation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces the manual mechanical review process with an automated computer-based system that uses algorithms to validate patient payment estimates against claims and payments data, eliminating human manual intervention while maintaining validation accuracy

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces an automated estimation validation system as an intermediary between estimate creation and final billing, using computer algorithms to mediate the validation process and provide automated feedback on estimate accuracy

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If manual validation processes are used, then detailed analysis can be performed, but human error increases and consistency decreases

Engineering Contradiction:
Improvevalidation consistencyVSAvoidhuman error
Core Design Contradiction:
ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The system enables self-service validation where the automated system independently performs validation without human intervention, using predefined algorithms and rules to consistently evaluate estimates against actual claims and payments data

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent implements automated feedback mechanisms where the validation system provides immediate results and metrics back to users, allowing for continuous monitoring and improvement of estimate accuracy while eliminating human error through automated decision-making

Inventive Principle:
Principle #23Feedback

3Productivity

If automated validation systems are implemented, then efficiency and speed improve, but system complexity increases

Engineering Contradiction:
Improvevalidation efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent creates a multi-functional automated validation system that can handle multiple validation scenarios, data types, and analysis requirements through a single unified platform, reducing the need for separate systems for different validation tasks

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The validation system is segmented into modular components including estimate processing modules, claims matching modules, payment verification modules, and reporting modules, allowing for independent development, testing, and maintenance of each function while maintaining overall system efficiency

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10387615B2Estimate analysis and validation
Publication Date: 2019.08.20 EXPERIAN HEALTH INC
  • US10387615B2 patent drawing
  • US10387615B2 patent drawing
  • US10387615B2 patent drawing

AI summary

Validating patient payment estimates is provided. Validating patient payment estimates may comprise matching patient payment estimates with claims, payments and insurance contracts and providing tools to analyze the results of the matching process. Discrepancies may be determined, for example discrepancies between procedures and patient portions from the estimate with procedures actually billed and paid and a patient portion determined by the insurance company. Results may be stored in a dashboard user interface, which may then be available via a user interface for drill-down analysis.