– Quality Identifier uses Apixio’s proprietary AI algorithms to analyze electronic medical record notes, scanned charts, and other patient documents to identify evidence of measure compliance.
– Algorithm results and supporting evidence are then presented to clinical abstractors for review in a secure web-based application.
– The future of quality measurement in healthcare will be outcomes-oriented, prioritizing quality measures that require patient data from medical documents to supplement claims information.
Apixio Inc., an AI healthcare analytics company, today announced Quality Identifier, a new solution that allows health plans and providers to unlock critical patient insights for better quality measurement and care delivery. Quality Identifier is delivered as a secure, web-based application for in-house quality measurement teams.
Fastest Way to Find Clinical Facts For Quality Reporting
Quality Identifier leverages Apixio’s proprietary AI algorithms to surface insights from over 10 million patient charts, and analyze clinical data for relevant quality measures and compliance indicators to streamline and accelerate the abstraction process. These facts are presented in an application where 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. The result? Much faster chart reviews, more accurate fact-finding, and better progress tracking toward compliance benchmarks.
The Bigger Picture
Federal government agencies are putting increasing pressure on healthcare organizations to deliver higher quality care through robust quality measurement. Currently, most measures designed to determine whether evidence-based care was provided are process-oriented and rely upon coded administrative data. The future of quality measurement in healthcare will be outcomes-oriented, prioritizing quality measures that require patient data from medical documents to supplement claims information.
Apixio’s proprietary AI algorithms to analyze electronic medical record notes, scanned charts, and other patient documents to identify evidence of measure compliance. Algorithm results and supporting evidence are then presented to clinical abstractors for review in a secure web-based application.
“It is critical that we’re able to cost-effectively measure performance and adherence to best practices to improve care quality,” said Apixio CEO Darren Schulte, M.D. “With Quality Identifier, providers and plans can gain an accurate picture of care quality without reliance upon large teams of clinicians.”
