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An Affordable Artificial Intelligence Solution for Intelligent Document Processing of Faxed Documents.

Jared Silberlust¹, Paul Testa², Dana Ostrow³

¹Fellow in Clinical Informatics, New York University (NYU) Langone Health, New York, NY, USA.

NEJM Catalyst Innovations in Care Delivery

|July 8, 2026

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An AI-powered Intelligent Document Processing solution automated faxed document handling in healthcare, reducing administrative burden and costs. This technology improved efficiency and accuracy in processing critical patient information, enhancing care delivery.

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Area of Science:

Health Informatics
Artificial Intelligence in Healthcare
Document Management Systems

Background:

Healthcare systems heavily rely on faxed documents despite widespread EHR adoption.
Manual processing of millions of annual document pages is time-consuming, error-prone, and causes patient care delays.
Existing workflows involve multiple staff touchpoints and inefficiencies.

Purpose of the Study:

To develop and deploy an Intelligent Document Processing (IDP) solution to automate the handling of faxed documents.
To reduce administrative burden, improve processing timeliness and accuracy, and enhance staff experience.
To leverage existing enterprise technologies for efficient document management and EHR integration.

Main Methods:

Developed an IDP solution using document management, robotic process automation, data classification/extraction, and EHR integration.
The system identifies faxes, extracts patient/provider info, matches EHR records, sorts documents, and assigns types for indexing.
Documents not confidently processed are routed for manual review.

Main Results:

Processed ~20,000 document pages (13,700 faxes/scans) in a pilot study.
Achieved 62% successful automated classification and routing of documents.
Remaining 38% required manual review (32% out-of-scope, 6% exceptions).
Operational cost was 1.5 cents/page, significantly lower than industry offers (~15 cents/page).

Conclusions:

AI-enabled IDP solutions can significantly reduce administrative burden in healthcare.
The technology improves the timeliness and accuracy of document indexing and unlocks structured data.
Health systems can pragmatically deploy AI using existing infrastructure to enhance efficiency and support better care delivery.