How JAG Source Scaled Medical Report Processing Without Templates Using Avallon

How JAG Source Scaled Medical Report Processing Without Templates Using Avallon

How JAG Source Scaled Medical Report Processing Without Templates Using Avallon

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Reports Processed

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Extraction Accuracy

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Reduction in time spent on data extraction from medical records

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"Give me a week with this thing, and we’re done. It’s beautiful, simple, easy to understand, and clean. Love it."

Colin Gallagher, CIO, JAG Source

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"Give me a week with this thing, and we’re done. It’s beautiful, simple, easy to understand, and clean. Love it."

Colin Gallagher, CIO, JAG Source

About

JAG Source provides workers' compensation claims ancillary services including diagnostics, DME, home health, and hearing services. As a high-volume billing operation, they process tens of thousands of medical reports annually from their provider network.

Challenge

Extracting Structured Data from Unstandardized Medical Reports

Even with robust internal workflows and automation already in place, JAG Source faced a persistent operational constraint common across healthcare billing: medical reports do not follow a single template.

Extracting consistent, structured data from highly variable documents proved difficult to standardize at scale. Reports arrived via multiple methods from hundreds of providers, each using different layouts, formats, and scanning quality. Prior OCR-based approaches and custom solutions were used, but were limited by rigid templates, pixel-level dependencies, and inconsistent document quality.

As report volumes increased, staff were still required to open documents, locate key fields, and normalize data manually to support downstream matching logic. The process worked, but it was tedious and could not scale at the same pace as JAG Source’s other automated systems.

Solution

AI-Driven Medical Document Extraction Without Templates

Avallon’s AI document agents extend JAG Source’s existing technology stack by introducing a more flexible, AI-driven information extraction layer purpose-built for real-world medical documentation.

When providers submit medical reports, Avallon automatically:

  • Extracts structured data from medical reports and claims files

  • Applies customizable extraction schemas to handle wide format variability

  • Normalizes key fields across inconsistent layouts and text quality

  • Delivers clean, validated data ready for JAG Source’s internal systems

The platform reliably handles workers’ compensation documentation complexity, including multi-provider referrals, mixed document batches, and PDFs containing multiple report types.

Results

Near-Complete Automation with ~99% Extraction Accuracy

“Give me a week with this thing, and we’re done. It’s beautiful, simple, easy to understand, and clean. Love it.”

“If there’s a product that I’m like: ‘This is it, this is the only thing you should buy’. I’m that guy, I will tell everybody in my circle: you have to do this. If you’re not doing this, you’re already behind.”

Colin Gallagher, COO, JAG Source

Within weeks of deployment, JAG Source achieved near-complete automation of medical report data extraction. What was once a manual normalization step is now handled consistently at scale.

With ~99% accuracy, rework and exceptions are minimized, allowing staff to focus on validation and higher-value operational work. Avallon did not replace JAG Source’s systems; it strengthened them by making the extraction of structured data from unstructured documents flexible and reliable enough to support JAG Source’s operations across highly variable documents.

“Give me a week with this thing, and we’re done. It’s beautiful, simple, easy to understand, and clean. Love it.”

“If there’s a product that I’m like: ‘This is it, this is the only thing you should buy’. I’m that guy, I will tell everybody in my circle: you have to do this. If you’re not doing this, you’re already behind.”

Colin Gallagher, COO, JAG Source

Within weeks of deployment, JAG Source achieved near-complete automation of medical report data extraction. What was once a manual normalization step is now handled consistently at scale.

With ~99% accuracy, rework and exceptions are minimized, allowing staff to focus on validation and higher-value operational work. Avallon did not replace JAG Source’s systems; it strengthened them by making the extraction of structured data from unstructured documents flexible and reliable enough to support JAG Source’s operations across highly variable documents.

Data Security & Compliance

HIPAA-Ready by Design

As a healthcare billing operation handling PHI, JAG Source required a HIPAA-compliant solution. Avallon's platform meets these requirements with:

  • SOC 2 Type II certification

  • HIPAA-compliant infrastructure

  • Secure data handling and storage

What's Next 

JAG Source continues expanding its Avallon implementation to further automate complex document workflows:

  • Referrals extraction - Processing complex multi-provider referral documents

  • CMS-1500 extraction - Automating health insurance claim form processing

  • Web portal integration - Direct integration with JAG Sources provider portal

  • PDF splitting - Handling batched documents with multiple report types

JAG Source

JAG Source

INDUSRTY

Healthcare (Billing & RCM)

Healthcare (Billing & RCM)

AI Agents for Claims Operations

AI Agents for Claims Operations

Avallon turns complex claims operations into automated resolutions, cutting costs 

and supercharging productivity with agentic workflows.

Avallon turns complex claims operations into automated resolutions, cutting costs 

and supercharging productivity with agentic workflows.

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