The ultimate in accuracy and audit protection
It is essential to “look both ways” in every retrieved chart, but the process is expensive and time-consuming. Apixio’s HCC Auditor solves these problems for your organization. Each retrieved chart is analyzed to determine the source for a reported code. Source notes are then assessed using our industry-leading machine learning algorithms to determine whether the required supporting elements are present. Coders can then make the final determination using an easy-to-use web-based application. This augmented intelligence approach helps assure your organization that you are taking the right steps for accuracy.
Using Apixio’s HCC Auditor, powered by our AI platform, you’ll be able to:
- Analyze retrieved patient charts to identify source encounter notes for reported diagnosis codes
- Validate whether encounter notes have the required elements to support HCC codes based upon your guidelines
- Report validated and unsupported codes
- Confirm the integrity of your HCC submissions
By using Apixio, we’re improving our auditing bandwidth and enhancing the ability of our coders to focus on other chart audits and other projects that we couldn’t do before.
In the past we relied on manual review of our charts. This meant lost manpower and physician time in tedious processes.
Implementing HCC Identifier has allowed us to mine EHR and scanned chart data for valid, risk adjusting conditions with improved transparency and efficiency.
The coding team was wonderful to work with, and incorporated our specific coding guidelines when working on our project. When they noticed a trend in what we were rejecting, they shared a Coding Clinic we were unaware of for clarification on how to code the scenarios.
Apixio & Magna Health Plan
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