Linking AI Initiatives to Real-World Outcomes

Use Case

REPORTINSIGHT: INSIGHTS FROM MEDICAL DOCUMENTS

 
Client

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
 

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