Document AI (NLP + Vision)
Unstructured documents remain one of the largest bottlenecks in healthcare and business operations. Faxed referrals, scanned EOBs, clinical notes, and intake forms contain critical data that staff re-key manually. Document AI uses natural language processing and computer vision to extract, classify, and structure this information automatically, reducing turnaround times and improving data accuracy downstream.
Overview
- Optical character recognition (OCR) and document preprocessing pipelines
- Named entity recognition (NER) for clinical, financial, and legal documents
- Document classification and routing based on content type and intent
- Form extraction and key-value pair identification from structured and semi-structured documents
- Integration with downstream workflows, EHRs, and data repositories