Closing HEDIS Gaps with Integrated CCD Data - Data Ideology

CASE STUDY

Closing HEDIS Gaps with Integrated CCD Data

Healthcare

Enterprise

Data Strategy

KEY OUTCOME

Key Outcome: The client saw a 1–5% improvement in high-priority HEDIS measure rates within weeks of data integration.

How did Data Ideology solve this organization’s challenge?

CHALLENGE SUMMARY

The client was facing measurable gaps in care that negatively impacted performance on key HEDIS measures—including childhood and adult immunizations, blood pressure, and glucose monitoring. These lower-than-expected rates risked both missed incentive payouts and lower star ratings. Compounding the issue was the underutilization of valuable CCD data from large provider groups that could fill these gaps and improve reporting accuracy.

SOLUTION SUMMARY

Data Ideology worked with the client to unlock the potential of CCD data by transforming it into a usable format. CCDs from a large provider group were mapped from XML and processed through ETL workflows into the client’s Snowflake instance. The data was then reformatted to match the existing EMR structure and fully integrated into the client's HEDIS reporting solution—allowing for immediate inclusion in measure calculations and downstream analytics.

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Deep Dive

THE CHALLENGE

  1. The client had access to Continuity of Care Documents (CCDs) that weren’t yet part of its centralized data infrastructure.
  2. HEDIS reporting relied on incomplete data, which left obvious care gaps and affected quality ratings.
  3. The XML format of the CCD data made it incompatible with the client’s existing data and reporting pipelines.
  4. Integration required transforming third-party provider data into EMR-compatible structures without disrupting core systems.
  5. The organization needed a scalable solution that could support ongoing ingestion of new provider feeds in the future.

THE RESULTS

  1. Achieved a 1–5% increase in HEDIS numerator rates for high-impact measures—improving incentive eligibility.
  2. Delivered a reusable ETL template for future integrations with similarly formatted provider data.
  3. Enabled rapid onboarding of new providers by standardizing data formatting and ingestion processes.
  4. Expanded internal analytics capabilities with additional structured data now available in the platform.
  5. Strengthened the client’s overall data infrastructure, supporting longer-term goals for population health and value-based care analytics.

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