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Business Impact

  • 45M+

    EDI transactions processed annually

  • 40% to 1%

    reduction in need for human review

  • 98%

    accuracy in processing claim forms

Customer Key Facts

  • Location : California
  • Industry : Healthcare

Problem Context

The client, a leader in building Electronic Data Interchange solutions for the American dental industry, processed nearly 45 million EDI transactions, consisting of more than 30 million dental claims annually. They sought to build Textract based document processing solution to automate the processing of their dental claim forms. To achieve this, they engaged with Quantiphi, with a focus on leveraging our proprietary intelligent document processing solution, QDox, to facilitate the extraction of data fields from the American Dental Association claim forms through a collaborative effort in developing a document processing solution on AWS.

Challenges

 

  • Handling different types of the dental claim forms
  • Data field extraction from claim forms with low image resolution
  • Extracting missing teeth information from the dental claim forms
Challenges

Technologies

AWS EC2
AWS Lambda
AWS Textract
Python
Amazon S3
Route 53

Automated extraction of data fields from dental claim forms

Solution

Quantiphi used QDox, its document processing platform, to extract information from the ADA claim and statement forms and provide confidence scores. Besides maintaining and managing the platform, Quantiphi continues to provide responsive, accurate, and scalable support for additional documents by continuously improving the AI models used in the solution.

Result

  • Automated extractions of the Data fields from Dental Claim Form
  • Easy extraction of Missing tooth Information from Dental Claim forms

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