Success Story

Company

A Regional Healthcare Payor with High Denial Rates Leverages Deep Learning-Driven Claims Submission to Reduce CSAT Loss and Streamlining Account Payable Cycles​

Ad Tech company executes Real-Time contextual classification of webpages using multifold classification and interpretation models by leveraging Zimetrics tech-enabled services

Challenges

  • The average denials rate was up 23% in the previous 3 years. Up to 65% of rejected claims were never resubmitted​
  • 20% claims either had missing mandatory information for payment or incorrect medical coding​
  • Claim Submissions overloaded with irrelevant attachments and dynamic complex layouts of document structure that resulted in SLA non-compliance​

Solution

Intelligent

Data Engineering to pre-process each case for intelligent document indexing, classification and OCR conversion​

Deep Learning​

Models to intelligently extract and interpret data from complex and varied layout documents​

3-way

among claims form, supporting documents and system records, to verify the submissions for duplicity, fraud and payment leakage​

Impact

20%

Denial Rate Reduction​

50%

Reduction in Average Claims Processing

50%

Efficacy gain with intelligent document processing

Company

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.

Challenges

Solutions

Deep Learning

Models to categorize industry and subindustries relevant sections and denoise

Language Models

Interpret the key concepts from tables, graphs images and running texts

Vision Models

For layout interpretation and correlation of objects in the frame of moment captured

Impact / Metrics

90%+

F1 Score Harmonic Mean of Precision and Recall

50%+

Improved Relevancy Relative to Cookies

99.9%+

Realtime Data Exchange

Tech Stack

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