Quality Improvement

Affinitē Quality Improvement

Affinite QI is an end-to-end quality improvement solution for certified HEDIS® submission. Equipped with year-round management and comprehensive dashboards, your team gets the ultimate tool to close care gaps and ensure a successful HEDIS season.

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Reduce Time on Chart Chasing

Avoid playing catch-up & leverage our well-defined chase logic to reduce chart chasing efforts.

Better Provider Collaboration

Unified on one platform with real-time insights and notifications, you can engage providers easier and help close care gaps faster.

Real-Time Reporting and Transparency

Get access to real-time reports on rates, gaps in care, and year-round quality benchmarking.

Complete 360-degree Member View

With a single source of truth and continuous data updates, prioritize the right members in your population.

Improve Scores & Member Satisfaction with Year-Round Management of your Quality Improvement Program

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Consecutive years of HEDIS® Certification

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HEDIS® Measures Tracked

HEDIS Measure Changes for MY 2023 Blog Link

What’s Coming for HEDIS MY 2023? Here are the Measure Changes Health Plans Need to Know

Across the board changes target improving health equity through expanded race and ethnicity data segmentation, more inclusive measure language, and screening and intervention.

Affinitē Changes How You

Approach Medical Management

Prescriptive Insights

with True Data Science​​

With an Ai-enabled platform, you get unparalleled access to real-time insights on at-risk populations in need of care. ​

Seamless Collaboration

with Uniform Data​

Align your internal team with members and providers with the same platform, all with the same data.

Smarter Workflows

Built on Intelligent Automation

Using Intelligent Automation, mitigate unnecessary friction for your team so they can be more effective.

Persistent Adaptability

via Extensible Technology

Leverage composable technology that will grow with your business and enhance your speed to value.

Get Ahead of Member Health with a Real-Time Data Platform