Dual Risk Scoring for ACA Compensation Gaps
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Solution Overview
Problem
The health insurance industry faces challenges in accurately determining and compensating for risks under the Affordable Care Act (ACA) models, particularly in identifying and accounting for costs, income, and financial data to efficiently operate risk adjustment and reinsurance programs.
Innovation Solution
A method and system that determine a captured risk score and a gap risk score from insurance data using predetermined and proprietary calculations, respectively, to identify additional compensation criteria, and provide user interfaces for insurers to manage and optimize risk operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional predetermined risk scoring calculations are used, then compensation can be determined based on established criteria, but additional risk criteria and corresponding compensation opportunities are not identified
Solution Approach 1:
The patent segments risk scoring into two distinct components: captured risk scores based on predetermined calculations and gap risk scores based on proprietary calculations. This segmentation allows the system to maintain established compensation criteria while simultaneously identifying additional risk criteria that qualify for extra compensation, thereby improving measurement precision without overwhelming complexity.
Solution Approach 2:
The system performs multiple functions through a unified platform: it calculates traditional captured risk scores for standard compensation determination, simultaneously computes gap risk scores using proprietary methods to identify additional compensation opportunities, and provides comprehensive reporting. This multi-functionality resolves the contradiction by making the system versatile rather than overly complex.
2Productivity
If proprietary gap risk score calculations are implemented to identify additional compensation criteria, then insurers can qualify for additional compensation, but the system complexity increases
Solution Approach 1:
The system performs preliminary gap risk analysis by comparing actual risk characteristics against ideal risk profiles before final compensation determination. This preliminary action identifies potential additional compensation opportunities early in the process, allowing insurers to optimize their risk portfolios proactively rather than reactively, thereby improving productivity without proportionally increasing complexity.
Solution Approach 2:
The patent introduces an intermediary gap risk score calculation that bridges traditional predetermined risk assessment and additional compensation opportunities. This intermediary layer analyzes the difference between captured and ideal risk profiles, translating complex proprietary calculations into actionable insights that improve compensation optimization efficiency while managing system complexity through structured intermediate processing.
3Measurement precision
If comprehensive risk data analysis is performed to identify all compensation-qualifying risks, then financial management accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The system applies partial action by focusing gap risk analysis specifically on identifying additional compensation opportunities rather than re-analyzing all risk factors already captured in traditional scoring. This targeted approach maintains financial data accuracy by thoroughly analyzing relevant gaps while avoiding redundant processing of already-evaluated risk elements, thereby reducing processing time and computational resource requirements.
Data Source
AI summary
Included are systems and methods for providing insurer risk data. Some of the methods include receiving insurance data related to an insurer and determining a captured risk score from the insurance data, the captured risk score being determined by a predetermined calculation. Some of the methods include determining a gap risk score from the insurance data, where the gap risk score being determined from a proprietary calculation that is different than the predetermined calculation, and where the gap risk score identifying a second criteria that was not identified in the captured risk score and the qualifies the insurer for an additional compensation. Some of the methods include providing a user interface that includes data related to the captured risk score and the gap risk score.