Actionable intelligence. Measurable impact.
No matter how much healthcare data your organization obtains, it won’t help you improve your risk adjustment performance if you can’t extract useful insights to inform specific business tasks. Our team has more than 10 years of experience using artificial intelligence to surface actionable trends about patient conditions and provider behaviors. Apixio Insights solutions provide reliable analytics you can trust to optimize your existing risk adjustment programs.
Benefits of Apixio Insights
- Advanced intelligence. Reap the benefits of Apixio’s learnings gleaned from more than 12 million patient charts and 900 million clinical documents.
- Simple implementation. Integrate valuable insights into your existing workflows and processes.
- No IT involvement. Get up and running quickly with analytics that work with your current technology.
Running a paper-based prospective risk adjustment program? Our Prospective Analytics solution provides targeted AI-generated condition suspects and supporting evidence delivered in a simple report you can integrate into your existing initiatives such as direct-mail or fax-based programs to improve condition capture at the point of care.Learn More
Providers serving MA and ACA patients don’t always document patient encounters with HCC coding in mind. Apixio’s Documentation Gaps solution identifies encounter notes with attributed HCCs lacking critical documentation elements required for risk adjustment submission. Gaps are attributed to specific providers and include missing elements and dates of service so you can follow up with physicians to close gaps and improve their documentation approach.Learn More
Zero Evidence Report
Condition codes are often submitted by physician offices without the necessary supporting evidence for risk adjustment, which puts health plans and providers at compliance risk. Apixio’s Zero Evidence Report identifies codes submitted to CMS on claims that lack appropriate evidence in source encounter notes, helping your organization identify areas for physician training and potential code deletes.Learn More