Definition
Intelligent Document Processing (IDP) is the use of AI (OCR, NLP, and computer vision) to classify, extract, and validate data from unstructured healthcare documents. In RCM, IDP pulls line-level payments, CARC/RARC codes, and remarks from scanned EOBs, payer PDFs, prior auth letters, and clinical attachments, then normalizes the data for follow-up. Mature IDP programs routinely achieve 95%+ field-level accuracy with human-in-the-loop review and can process thousands of pages per hour.
Why it matters
Manual intake and indexing of remits and attachments takes 3–5 minutes per page; for a multi-location organization with 30,000 pages per month, that’s 1,500–2,500 staff hours ($60,000–$100,000 at $40/hour). IDP cuts that manual intake time, reducing denial rework driven by mis-keyed data. At enterprise scale, this improves net collections and stabilizes monthly close across DSOs and health systems.
How Ventus helps
Ventus reads payer portals, documents and phone answers and returns structured, normalized results, with the evidence attached to every answer. Results are written back into the practice management system or delivered through the API.
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