Quality measurement has become a critical activity for healthcare organizations. For many key quality measures, evidence of member compliance is captured in medical notes, not administrative or billing data. Consequently, provider groups spend precious time and resources to find measure-related evidence buried in EHRs instead of focusing on patient care.

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 quality abstractors can confirm whether predicted facts demonstrate compliance with relevant measures, significantly reducing the amount of time needed to gather clinical evidence for quality reporting.

Apixio is among the 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 the use of NLP in quality measurement and reporting.

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