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Case Study: Healthcare

Insights from Medical documents for effective Healthcare

Business Problem:

A national healthcare payer was using a non-scalable and inefficient business model to determine risk conditions by manually reading scanned physician and hospital multi-page notes.

Abzooba Solution:

  • xpresso.ai is being used to augment the manual workflow with automation that outputs relevant pages to read (manually) instead of the whole document.
  • Computer Vision is 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.
  • The final output is provided in standard JSON format.

Business Benefits:

  • The solution is enabling the client to increase notes analysis efficiently by 42%.
  • This is helping them scale up without increasing number of employees.
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