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Healthcare

Patient Intake Automation

AI-powered form processing that reduced data entry time by 80% and virtually eliminated claim rejections from intake errors.

80%
Data entry reduction
Minutes
vs hours per patient
Near 0
Entry errors
↓ 90%
Claim rejections
The Problem
Manual Data Entry Nightmare

Front desk staff at this multi-provider practice spent hours manually entering patient intake forms into the EHR. Typos and transcription errors led to claim rejections, and the backlog meant patients waited longer for their records to be complete.

  • 20+ minutes per patient for data entry
  • Frequent transcription errors
  • Claim rejections from bad data
  • Staff burnout from repetitive work
The Solution
AI Document Processing

We deployed an AI-powered workflow that extracts data from patient intake forms (paper or digital), validates information against insurance databases, and auto-populates the EHR. Staff only review flagged exceptions.

  • AI-powered form data extraction
  • Insurance eligibility verification
  • Direct EHR integration
  • Exception flagging for review
The Results
Operational Transformation

Patient records are now complete within minutes of form submission. Staff focus on patient care instead of data entry, and the revenue cycle team has seen claim rejections from intake errors virtually disappear.

  • 80% reduction in data entry time
  • Near-zero transcription errors
  • 90% fewer intake-related claim rejections
  • Staff freed for patient-facing work

How It Works

1
Form Received
Paper scan or digital
2
AI Extraction
GPT-4 Vision + OCR
3
Validation
Insurance verification
4
EHR Sync
Auto-populate fields
5
Exception Alert
If review needed
HIPAA Compliant

This workflow was built with HIPAA compliance in mind. All data processing occurs on secured, BAA-covered infrastructure. PHI is encrypted in transit and at rest, with full audit logging.

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