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Applying intelligence. Revealing insights. Accelerating value.

Discover how Apixio's AI analytics solutions for risk and quality unlock actionable information from healthcare data.

A smarter approach to healthcare

We're using artificial intelligence (AI) to solve critical healthcare data problems and empower health plan, provider, and ACO decision-makers with reliable, actionable intelligence.
Apixio AI Healthcare Technology Platform

The Apixio Platform

Every year, 1.2 billion clinical documents are generated in the U.S., but most of this data goes unused in the provision of care. The Apixio Platform surfaces targeted insights from healthcare documents to inform operations and care delivery.
Nurse with laptop analyzing patient data

Why Apixio

Apixio is the leader in AI healthcare analytics. Our proven NLP, machine learning, and deep learning algorithms analyze unstructured data from patient charts and EHR encounter notes, as well as structured data from claims, labs, and other documents. We then surface insights on patient conditions, documentation improvement areas, quality performance, and more. Over 45 clients rely on our solutions to power their risk and quality programs nationwide.
Apixio AI Powered Risk Adjustment Coding Solution

Data-driven intelligence

Our AI platform converts unstructured patient information into actionable data, so you can get a complete picture of healthcare. Our solutions support better decisions to deliver quality and affordable care.

Powered by experience

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Apixio at HLTH 2019
Events

Experience the Apixio difference firsthand

Looking to connect in person? We regularly host online webinars and sponsor dozens of trade shows and industry meetings nationwide.
Testimonials
Scripps logo

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

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