70% More Productive AI-Powered Data Extraction
Specializing in medical claims management, our client’s operations hinged on processing critical information received via faxes from healthcare providers and patients. This complex task was the backbone of their claim-processing workflow, ensuring accurate and efficient claim resolution for enhanced patient care management.
11 Minutes/Doc: The Time-Consuming Reality of Faxed Medical Claims
The received documents were faxed, not digital PDFs, requiring information extraction.
Some faxes needed to be clearer or had artifacts, making them difficult to process.
Faxes were sometimes skewed or slanted, complicating the extraction process.
How We Revolutionized From Fax to Fact in Under 3 Minutes
Automating 73% of the Process while Ensuring 100% Accuracy
Automated document straightening and image quality improvement
OCR text extraction with bounding box creation
Human-in-the-loop verification and correction process
Measurable Results and Impact
Reduced time per document from 11 minutes to under 3 minutes (73% reduction)
Boosted overall productivity by ~70%
Reduced document backlog from 3 days to 1 day (67% reduction)
Key Achievements
Developed a robust document processing pipeline
Integrated AI and human expertise for accurate data entry
Significantly improved efficiency and productivity
Reduced document backlog and turnaround time
Conclusion
By leveraging OCR, image processing, and heuristics, combined with human supervision, we successfully streamlined the data entry process for faxed “medical claim processing documents. This solution improved accuracy and substantially reduced the time and effort required, leading to increased productivity and a significant reduction in document backlog.