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Streamline your quality measurement with AI

Quality measurement is a critical activity for healthcare organizations. For many key quality measures, evidence of member compliance is captured in medical notes, not in administrative or billing data. As a result, healthcare organizations spend much time and effort to find measure-related evidence buried in electronic records or they simply under report their quality measure compliance. 

Quality abstraction, simplified

Learn how Apixio's artificial intelligence (AI) solution can help your team streamline the abstraction process and improve quality measurement accuracy.

Quality Identifier: The fastest way to find clinical facts for quality reporting

Apixio’s Quality Identifier solution uses proprietary AI algorithms to locate relevant clinical facts in medical charts. These facts are presented in an application where abstractors can easily confirm the evidence to support predicted facts, significantly reducing the amount of time needed to gather clinical evidence for quality reporting.

Flexible workflows and user management

Quality Identifier makes it easy to configure routing workflows and abstractor assignments, streamlining your quality measurement program. Managers can assign predicted facts for review and evaluate performance at the project progress.

NCQA Natural Language Processing Working Group

Apixio is among three companies selected by the National Committee for Quality Assurance (NCQA) to participate in the organization’s Natural Language Processing (NLP) Working Group. The group convenes in 2020 to help NCQA explore use of NLP in quality measurement and reporting. NLP. Our advanced technology applies NLP to derive insights about patient care from physician and hospital clinical notes. Read More >

Request a demo of our technology to discover the benefits for your organization.