Unbeknownst to many MA plans, they could be just on the cusp of reaching the next MA Star Ratings but have no way to identify the right measures to get them there.
In fact, an Apixio analysis found that the many MA plans are off by as little as 1-3 percentage points of the next Star in key HEDIS measures like colorectal cancer screening, breast cancer screening and comprehensive diabetes care.
Don’t let your organization be one of them.
Apixio’s whitepaper, “Utilizing AI-Powered Quality Abstraction to Position your MA Star Rating Program for Success,” provides clear insights and recommendations for how to identify and nudge your HEDIS measures to secure that next Star Rating. In it, you’ll learn how even the slightest improvement can make a big difference in your quality submission, and how our AI solution can make the uncovering of non-standard supplemental data easier, more efficient, and more accurate to help your organizaiton identify and close your quality gaps.
With Apixio’s Quality Identifier, results have shown:
- 22% of data gaps closed
- Reduced abstractor workload by 75%
- Accelerated chart reviews by 5X
Closing your quality gaps could mean higher Star Ratings which results in higher financial rebates, longer member enrollment periods and increased enrolment numbers. To learn more about how to harness the power of AI to reach for the next higher MA star rating, download the whitepaper today.