Healthcare's Paper-to-EDI Bridge Should Ditch OCR for Vision-Language Models

Sahay argues that vision-language models (VLMs) can outperform OCR for parsing paper healthcare documents into EDI claims, noting that 98% of claims are electronic but many still rely on error-prone OCR. VLMs better handle complex layouts and ambiguous text, potentially reducing processing errors.