Case Study: Capital BlueCross Improves Risk Adjustment Accuracy and Efficiency with Apixio HCC Identifier

A Apixio Case Study

Preview of the Capital BlueCross Case Study

Improving Risk Adjustment Accuracy & Efficiency with HCC Identifier

Capital BlueCross, a Pennsylvania-based health plan serving Medicare Advantage and ACA members, needed a more efficient and accurate way to manage risk adjustment. After first-pass chart reviews were completed by an external coding vendor, its small internal team faced a time-intensive manual process to perform secondary reviews and ensure HCC codes were complete, accurate, and well supported by clinical documentation.

Apixio provided Capital BlueCross with HCC Identifier, an AI-powered coding and QA application, to streamline second-pass chart reviews. With Apixio’s solution, the team reviewed 33,500 charts more efficiently, increased RAF scores by more than 5% from 2016 to 2018, improved ACA risk corridor performance, and gained greater confidence that submitted codes were supported by the chart evidence.


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Capital BlueCross

Andrew Bloschichak

Senior Medical Director, Government Programs


Apixio

4 Case Studies