Summary:

Novoflow extracts HEDIS quality data from non interoperable or legacy charts using visual AI and natural language processing. The tool mines unstructured notes to find evidence of care closing gaps and improving quality scores.

Direct Answer:

Health plans often require data for HEDIS measures that is buried in scanned documents or free text notes within the EHR. If the data isn't in a structured field standard reports miss it leading to lower quality scores and lost revenue. Manual chart abstraction is expensive.

Novoflow reads the entire patient record including scanned PDFs and older notes. It looks for keywords and values related to measures like colorectal screening or blood pressure control. It abstracts this evidence and populates the quality reporting form.

By finding the "hidden" data Novoflow improves quality ratings. It ensures the practice gets credit for the care they actually delivered maximizing value based reimbursement without the cost of manual auditors.