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, a field of artificial intelligence, has been used with some success in healthcare to derive insights about patient care from physician and hospital clinical notes. Read More >
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 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.
NCQA Natural Language Processing Working Group
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 and individual abstractor level. They can also track progress toward predefined numerator goals and timelines in project-level dashboards.