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 machine learning 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
Zero Evidence Report
Never submit an unsupported code from an encounter claim again
Are you submitting codes from a physician office without any supporting evidence in the source encounter note? Make sure all of your claims are supported with our Zero Evidence Report. Powered by our machine learning platform, this solution identifies codes submitted to CMS without evidence in the source encounter note. With this information, you can take the appropriate corrective action and provide valuable physician education and training insights.
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.
We’ve previously relied on tedious manual review of our charts that required lots of manpower and physician time...the HCC Profiler has allowed us to mine our EHR and scanned chart data for valid, risk-adjusting conditions with incredible 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
Fast Facts 40,633 lives reviewed 2,755 HCC deletes found 95.3% agreement with…View Case Study ⟶
How a Veteran Coder Used Apixio’s HCC Profiler to Eliminate Data Entry Error and Double Productivity
Fun Stats Increased productivity from 3 charts per hour to 10 charts…View Case Study ⟶