A U.S. healthcare organization struggled with high volumes of patient and billing documents that required manual entry by administrative staff. Errors and delays were growing alongside transaction volume. Savvycom delivered an AI-powered platform that extracts and validates data from printed forms, handwritten notes, and structured records, integrating directly with EMR, ERP, and accounting platforms.
AI Document Intelligence for U.S. Healthcare Operations
CASE STUDY
AI Document Intelligence for U.S. Healthcare Operations
Project Overview
About The Client
A U.S. healthcare organization cut manual data entry by up to 70% after Savvycom deployed an AI Document Intelligence platform that automates extraction and validation across clinical and billing workflows.
Challenges
Manual document processing created backlogs that could not be resolved by adding more staff. Document formats varied widely, from clean structured forms to handwritten clinical notes, making automation technically complex. Without automated validation, data errors frequently reached downstream systems. Disconnected processing steps across teams limited overall scalability.
Solutions
Savvycom built a multi-format Document Intelligence platform combining PaddleOCR, LLM-assisted validation, and configurable API integrations. The platform handles mixed document types in a single pipeline and routes low-confidence extractions for human review. It supports both real-time and batch processing with flexible output formats for any downstream system.
Let’s Talk About Your AI Journey
Results
The platform reduced manual data entry by 50 to 70% and improved data accuracy by 30 to 50%. Processing speed increased across ERP and EMR pipelines, and every transaction now carries a full audit trail for compliance.
Technical Overview
AI Stack: OCR (PaddleOCR), LLM, Image Processing
Tools and Infrastructure: Python, OpenCV, PostgreSQL, REST APIs, Docker
Cloud Platform: Azure / Hybrid
