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Healthcare

Intelligent Document Processing for Healthcare Network

AI-powered document processing system automating 85% of medical claims, reducing processing time from 5 days to 4 hours for a network of 200+ clinics.
Duration
6 months
Team Size
5 engineers
Investment
$320K
Location
Chicago, USA

The Challenge

A healthcare network processing 50,000+ monthly documents from 200+ clinics had a 23% error rate and 5-day processing time due to manual workflows.

Key challenges:

  • Multiple document formats (PDFs, scans, faxes, handwritten notes)
  • Strict HIPAA compliance requirements
  • Integration with legacy EHR systems
  • 50,000+ documents monthly

Our Solution

End-to-end intelligent document processing (IDP) platform using GPT-4 Vision and custom-trained medical models.

Solution:

  • Multi-modal document ingestion (email, fax, upload, EHR)
  • OCR + LLM pipeline for structured data extraction
  • Medical NER for diagnoses, procedures, medications
  • Human-in-the-loop workflow for edge cases

Key Features Delivered

Multi-format document processing
Medical terminology extraction
Automated claim validation
HIPAA-compliant architecture
EHR integration

Results & Impact

85%

Automation rate

5 days → 4 hrs

Processing time

96%

Accuracy rate

40%

Cost reduction

“Our staff now focuses on patient care instead of paperwork. This system transformed our operations completely.”

Dr. Sarah Chen

Technologies Used

PythonOpenAI GPT-4AzureFastAPIPostgreSQLNext.jsTesseract OCRHL7 FHIR

Services Provided

Custom Llm DevelopmentAi AgentsWeb Development

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