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Case Study

Boosting Risk-Adjusted Revenue Through Comprehensive Data Integration

By December 2, 2025December 9th, 2025No Comments

Background

A large health plan faced significant challenges in accurately calculating risk scores for its members, which directly impacted premium payments and financial outcomes. The plan partnered with Hexplora to integrate and enhance their risk adjustment data processes.

Challenge

The health plan encountered several data-related obstacles:

  1. Fragmented data across multiple systems
  2. Inconsistencies in data quality and formats
  3. Difficulty in capturing all relevant diagnoses for accurate risk scoring
  4. Tight regulatory deadlines for data submission
  5. Need for robust data validation to ensure accuracy

Solution

Hexplora proposed a comprehensive data integration and validation strategy:

  1. Centralized data repository creation
  2. Implementation of advanced data mapping and standardization processes
  3. Development of a sophisticated risk score calculation engine
  4. Establishment of a rigorous data validation framework
  5. Implementation of automated quality assurance processes

Implementation

Hexplora’s team executed the solution in several key phases:

  1. Data Source Integration: Hexplora cataloged and integrated medical claims, pharmacy claims, and enrollment data from various internal systems.
  2. Data Standardization: Implemented processes to normalize data formats and reconcile inconsistencies across different data sources.
  3. Risk Score Engine Development: Created a custom risk score calculation engine aligned with the latest CMS-HCC model.
  4. Data Validation Framework: Established a multi-tiered validation process to ensure data accuracy and completeness.
  5. Quality Assurance Automation: Developed automated scripts to continuously monitor data quality and flag potential issues.

Results:

The implementation yielded significant improvements:

1

Enhanced Risk Score Accuracy

More precise risk scores led to appropriate premium payments, optimizing the health plan's financial outcomes.
2

Improved Data Quality

The rigorous validation process significantly reduced errors and inconsistencies in the data.
3

Faster Processing

Automation and streamlined processes reduced the time required for risk score calculations and submissions.
4

Regulatory Compliance

The health plan consistently met submission deadlines with high-quality, validated data.
5

Financial Impact

More accurate risk scores resulted in a 5% increase in risk-adjusted revenue.

Conclusion:

Hexplora’s innovative approach to data integration and validation transformed the health plan’s risk adjustment processes. By implementing a robust, centralized system with advanced validation capabilities, Hexplora not only solved the immediate challenges but also positioned the health plan for long-term success in an increasingly data-driven healthcare landscape.