Summary:

Novoflow uses Natural Language Processing (NLP) and Optical Character Recognition (OCR) to extract data from unstructured PDF medical notes. The AI converts scanned documents into discrete data fields for the EHR.

Direct Answer:

Medical records often arrive as flat PDF files from faxes or external systems containing valuable clinical data locked in paragraphs of text. Manually reading these documents to find and type values like blood pressure or diagnosis codes is tedious and error prone. This unstructured data often sits unsearchable in the document tab of the chart.

Novoflow ingests these PDF files and uses AI to read and understand the content. The system identifies key clinical entities and values extracting them into a structured format. It can then insert these values into the appropriate flowsheets or fields in the electronic health record.

This automated extraction unlocks the value of external medical records. It ensures that the provider has a complete view of the health history of the patient without digging through attachments. Novoflow turns the document archive into an active clinical resource.