Linking AI Initiatives to Real-World Outcomes
REPORTINSIGHT: INSIGHTS FROM MEDICAL DOCUMENTS
Large healthcare insurance provider based in Indiana.
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.
- 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
- 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
- 42% reduction in time to analyze the notes
- Ability to scale up without increasing number of employees
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