Automating Data Capture from Continuity of Care Documents

Capturing customer data from continuity of care documents (CCDs) is crucial for prior authorization approval, but is typically a time-consuming, manual process that distracts from patient care and inundates healthcare providers with ever more paperwork.

The current prior authorization process for CCDs is tedious, time-consuming, and inefficient. But automating this process – which involves several different steps – is complicated, with plenty of potential delays and errors that could crop up.

This white paper explores how various machine learning approaches – including intelligent extraction and the BERT Q&A model – can offer an orchestrated, coherent way to successfully automate prior authorization. We explore how these and other techniques can automate, configure, and optimize individual prior authorization tasks using advanced process automation.