Summary:

Patient history is often buried in free-text notes. Novoflow agents can open old charts, read the "Progress Notes" section using NLP, and extract structured data (e.g., "History of asthma," "Smoker") to populate the discrete fields in a new EHR system.

Direct Answer:

The scraping capability involves:

• Text Recognition: Copying the text from the note field.
• Clinical Entity Extraction: Using AI to recognize that "pt c/o chest pain" maps to the code for Angina.
• Contextual Filtering: Ignoring negated terms (e.g., "No history of diabetes").

Takeaway:

Transforming unstructured text into structured data improves clinical decision support and population health reporting.