Large healthcare insurance provider based in Indiana.
Problem
The client was using a non-scalable and inefficient business model to determine risk conditions by manually reading scanned physician and provider multi-page notes.
Methodology
Combination of Deep Learning based professional service and modularized AI components used according to organization’s cognitive maturity
Business transformation with smarter cognitive outcomes
Adding industry, business and customer insights to the value chain
Seamlessly integrate data across functions
Solution
Tool used to augment the manual workflow with automation that outputs relevant pages to read (manually) instead of the whole document
Computer Vision utilized to read the scanned notes and convert them into machine readable text
The text is then pre-processed to correct spelling errors
Deep Learning models categorize the text into disease, procedure and drug using a medical ontology
Benefits:
42% reduction in time to analyze the notes
Ability to scale up without increasing number of employees
