Transforming medical claim processing: achieving 73% faster results with AI
About the case
The challenge: Struggling with faxed mediclaims
Relying on faxes for medical claims created bottlenecks, frequent errors, delays, impacting efficiency.
Documents were faxed, not digital PDFs.
Poor image quality due to artifacts and skew.
Manual data extraction was error-prone and tedious.
Backlog of documents delayed claim processing.
No centralized document access and tracking.
Time lost in sorting and organizing physical faxes.
AI-Powered document processing simplified
Document processing and data management in healthcare were streamlined through AI-driven OCR pipelines.
Automated document straightening to correct skewed faxes.
Image quality enhancement for better readability.
OCR text extraction with bounding box creation.
Human-in-the-loop verification to ensure data accuracy.
Combined AI automation and manual oversight effectively.
The measurable impact
Reduced processing time per document by 73%.
Increased productivity by ~70% .
Improved accuracy through AI-human collaboration.
Increased customer satisfaction with faster service.
Shortened backlog clearance time from 3 days to 1 day.
Project Snapshot
CASE STUDIES
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