The Future of Claims Processing

Intro

Every healthcare claim is a bundle of unstructured documents --- clinical notes, prior-authorization forms, EOBs, remittances, and scanned attachments --- that must be read, validated, and reconciled before payment can move. For decades that work has depended on people supported by rules-based automation and OCR that break the moment a document strays from a fixed template. With denial rates climbing, administrative costs rising, and staffing short, that model is under acute strain.

This white paper shows why the constraint in claims processing has shifted from reading documents to acting on them, and what payers and providers should do about it.

Key themes include

• The cost of the status quo: Roughly \$1 trillion in annual U.S. healthcare administrative spend, \~20% of claims denied on average, and up to 60% of denials never appealed --- revenue simply written off.
• Where denials actually originate: Front-end data errors, documentation gaps, and manual coding of unstructured notes --- upstream document problems, not adjudication logic.
• From OCR to agentic document processing: How ML extraction, vision-language models, and agentic AI moved from \~60% accuracy on complex documents to 99%+ best-in-class, with per-field confidence and audit trails.
• The regulatory tailwind: CMS-0057-F decision timelines, denial-reason transparency, public metrics, and FHIR APIs make near-real-time document handling an operational necessity, not an option.
• The near-touchless claim: A staged, human-in-the-loop path from assisted to semi-autonomous to near-touchless operations --- and how to avoid pilot purgatory.

Outcome

Payers and providers that re-architect around document intelligence can cut cost to collect by an estimated 30--60%, prevent avoidable denials, accelerate cash, and redirect staff from keying to judgment work.