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How much do you know about the diagnoses reported from encounter claims? Do the correct document elements exist in the source encounter notes to support submitted codes? Our proven machine learning technology can analyze charts to uncover risk in 85% less time than auditors working alone. Apixio compliance solutions are the new benchmark for complete insights into every claim. Maximize your accuracy and reduce your risk with the most advanced way to protect your organization from costly audits and penalties.

HCC Auditor

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

Fast Facts

0 %
of HCC submissions come from provider claims data
0 %
Medicare payments lacking sufficient documentation [$6.7Billion in 2014 ]
0 %
Claims incorrectly coded

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.

 

Testimonial

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.

JoAnn Hayden
Scripps Health Plan Services
Testimonial

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.

Jennifer Pereur
Directory, Government Programs
Testimonial

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.

Josh Weisbrod
VP of Risk Adjustment
Case Study

Apixio & Magna Health Plan

Fast Facts 40,633 lives reviewed 2,755 HCC deletes found 95.3% agreement with…

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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…

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Case Study

Sigma Health Plan

Fast Facts 70,000 lives reviewed 983 new HCC codes 98.5% coding accuracy…

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See how our auditing solution can help your organization maintain accuracy while eliminating audit risk.