California DHCS Medicaid Document Processing
96% AI Accuracy with 60% Labor Cost Reduction
Implemented an AI-powered OCR system for Medicaid document processing that achieved 96% accuracy and reduced labor costs by 60%, transforming how California processes healthcare claims.
The Challenge
CA DHCS was overwhelmed with manual document processing for Medicaid claims. The paper-intensive process resulted in delays, errors, and unsustainable labor costs as claim volumes continued to grow.
The Solution
Visionblox deployed an AI-powered document intelligence system:
• NLP and OCR automation pipeline • Machine learning models trained on healthcare documents • Data extraction and validation workflows • Integration with existing state systems • Section 508 accessibility compliance
Implementation
Implementation spanned 8 months:
**Phase 1: ML Model Development** • Training data preparation • Model architecture design • OCR pipeline development
**Phase 2: Integration** • State system connections • Validation workflow implementation • Staff training programs
**Phase 3: Optimization** • Model fine-tuning • Accuracy improvements • Scale testing
Results
The AI system transformed document processing:
**Accuracy & Efficiency** • 96% document processing accuracy • 60% reduction in labor costs • Significantly faster claim processing
**Compliance** • Section 508 accessibility standards met • Complete audit trail maintained
“The AI document processing system has revolutionized our Medicaid operations. What took days now takes hours with higher accuracy.”