Healthcare Intake Automation
Healthcare Case Study

Healthcare Intake Automation

Reducing patient onboarding time by 85% with intelligent document processing.

Time Saved

85%

Labor Savings

$120k/yr

Accuracy

99.9%

The Challenge

A mid-sized clinic was drowning in paperwork. Patient intake forms were scanned as PDFs, manually typed into the EMR by three full-time staff members, leading to data entry errors and long wait times.

The Solution

We deployed a private OCR & NLP agent pipeline. The agent watches a secure folder for new scans, extracts patient demographics, history, and insurance info, validates it against the schema, and pushes it directly into the EMR via API.

How the Agent Works

1

Ingest

Securely receiving PDF scans from the front desk scanner.

2

Extract

Using specialized medical LLMs to parse handwriting and checkboxes.

3

Validate

Checking insurance ID formats and missing mandatory fields.

4

Sync

Pushing clean JSON data to the Electronic Medical Record system.

Deploy This Flow

This architecture is pre-built and ready to customize for your organization.

  • 2-Week Implementation
  • SOC2 Compliant
  • ROI Guarantee
Start Implementation

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