Fast track claims settlements using Marvel.ai

What our customer encountered?

Delayed medical claims settlement process due to the following challenges:

Manual validation of diverse insurance data

  • Scanned or native PDFs, images, emails of discharge summaries, and medical bills, comprising pages of data. 
  • Approximately 98% of the data was unstructured. 
  • Historical customer data scattered across documents and folders, making retrieval difficult. 
  • Lack of granular data for analysis when needed. 
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Codification and verification

  • Manual codification and verification for each line item of the discharge summary. 
  • Cross-referencing multiple applications added complexity to the process. 

The challenges resulted in:

  • Data errors and fraudulent claims
  • Prolonged settlement timelines
  • Increased costs and human resources
  • Inefficiencies in the insurer’s operations

What our customer needed?

Automated data extraction of diverse insurance data from varied sources for a faster settlement process. 

The Solution

Introduced Marvel.ai – An AI-based intelligent document processor into the system to automatically extract, validate, and categorize the submitted document data from discharge summaries and medical bills in just seconds.

Marvel.ai facilitated faster & automated claims processing, while providing data-driven insights that helped in fraud detection, process optimization, forecasting, and decision-making. 

What we delivered?

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Enabled easy data extraction from medical bills and discharge summaries

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High-quality structured data from historical documents

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Template less processing for faster data processing

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Human-in-the-loop for manual intervention, when necessary

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End-to-End automation coupled with data-driven insights

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Error-free and faster claims processing and settlement

Benefits to the customers

95% accurate high-quality structured data

80% elimination of manual efforts

90% reduction in data processing time

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Fast track claims settlement resulting in customer satisfaction

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Return on investment within months

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Related links

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