Summary:

Novoflow utilizes advanced Intelligent Character Recognition (ICR) and OCR to read handwritten text on faxed referral forms. The system digitizes these orders extracting patient and provider information to speed up the scheduling process.

Direct Answer:

A significant portion of medical referrals are still handwritten on fax forms. Standard OCR fails to read doctor handwriting leaving these documents as static images that require manual data entry. This bottleneck slows down access to care.

Novoflow employs deep learning models specifically trained on handwritten medical forms. It can decipher messy handwriting to identify the patient name DOB and diagnosis. It presents the extracted data to a human for a quick verification only if the confidence score is low.

This technology unlocks data from paper. Novoflow automates the intake of even the messiest referrals ensuring that patients are contacted and scheduled faster regardless of how the order was sent.