AI AGENT
Automate healthcare document data capture with unmatched speed and accuracy
Every day, your team receives thousands of pages of healthcare paperwork: handwritten referrals, insurance cards, orders, prior auth forms, clinical notes, and more. Processing those manually means delays, errors, and frustrated staff.
The Document Extraction Agent eliminates that manual data entry burden. It uses healthcare-trained AI models to capture key fields from structured, semi-structured, and unstructured documents—even handwriting—with no templates required.
Once extracted, the data is validated and routed to your EMR or downstream systems via HL7, API, SFTP, or RPA. It’s all part of Infinx’s Document Capture AI Platform, which ensures that documents are not only classified correctly but extracted accurately for faster, cleaner workflows.
FAST, ACCURATE DATA CAPTURE
Extract and validate the data that matters
Let your team focus on patients, not paperwork. With the Document Extraction Agent, you can:
Extract structured data from 13+ document types, including orders, insurance cards, medical histories, and clinical notes.
Auto-validate fields using logic for CPTs, ICDs, auth completeness, and demographic consistency.
Eliminate manual entry for 70–75% of documents, routing only exceptions to human review.
It works hand-in-hand with our Classification Agent to make sure the right info comes from the right document. No more missed fields. No more wasted time. Just clean, reliable data.
HOW IT WORKS
From document to structured data, in seconds
The workflow starts with the Data Classification Agent. This is the part of the workflow that figures out what kind of document you’re dealing with.
That information is then passed to the Document Data Extraction Agent, so it knows exactly what to look for. Because the document type is already known, the extraction agent can focus on the exact details that matter for that kind of document.
AI-powered data extraction
Captures structured data fields from scanned, faxed, or uploaded healthcare documents using GenAI, NLP, and healthcare-trained LLMs. No templates or predefined formats required.
Field-level validation
Using LLM and NLP models trained for healthcare, the agent determines the document type from 13+ categories like orders, insurance cards, clinical notes, prior auth forms, and more. It also separates mixed batches into individual documents.
Ready for system integration
Prepares structured, validated data for delivery into your EMR, RIS, or billing platform via HL7, API, RPA, or SFTP.
This happens in seconds, dramatically reducing data entry workloads, improving accuracy, and accelerating your revenue and care workflows..
