Leveraging Business Intelligence for HEDIS Compliance and Value-Based Care Excellence

This article explores how business intelligence (BI) solutions are transforming healthcare compliancetracking in the era of value-based care. As healthcare organizations face mounting pressure to demonstratequality through HEDIS measures and CMS Star Ratings, traditional manual approaches to compliance havebecome increasingly burdensome and ineffective. BI technologies address these challenges throughautomated data integration, real-time gap analysis, centralized performance dashboards, and streamlinedpayer-provider data exchange. The implementation of these solutions requires careful consideration of datagovernance frameworks, measure specification management, clinical workflow integration, cross-functional team involvement, and validation protocols. Organizations that successfully implement BI-driven compliance automation experience significant improvements in administrative efficiency, qualityperformance, financial outcomes, and provider engagement, positioning themselves for sustainable successin value-based care arrangements.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-03-28
DOI
https://doi.org/10.71097/ijsat.v16.i1.2783
Primary Topic
Big Data and Business Intelligence
Type
article
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article

Leveraging Business Intelligence for HEDIS Compliance and Value-Based Care Excellence

Satya Manesh Veerapaneni -
International Journal on Science and Technology
Big Data and Business Intelligence
article

Leveraging Business Intelligence for HEDIS Compliance and Value-Based Care Excellence

Satya Manesh Veerapaneni -
article en

Abstract

This article explores how business intelligence (BI) solutions are transforming healthcare compliancetracking in the era of value-based care. As healthcare organizations face mounting pressure to demonstratequality through HEDIS measures and CMS Star Ratings, traditional manual approaches to compliance havebecome increasingly burdensome and ineffective. BI technologies address these challenges throughautomated data integration, real-time gap analysis, centralized performance dashboards, and streamlinedpayer-provider data exchange. The implementation of these solutions requires careful consideration of datagovernance frameworks, measure specification management, clinical workflow integration, cross-functional team involvement, and validation protocols. Organizations that successfully implement BI-driven compliance automation experience significant improvements in administrative efficiency, qualityperformance, financial outcomes, and provider engagement, positioning themselves for sustainable successin value-based care arrangements.

International Journal on Science and TechnologyVol. 16(1)
Openalex Percentile: Top 91%
Big Data and Business Intelligence
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