Referral Intake Normalisation

Referrals arrive as messy faxes, scattered emails, and hurried phone calls whilst critical patient data gets lost in translation. This automation creates intelligent intake that captures, validates, and routes every referral perfectly.

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Referral Intake Normalisation Workflow - From chaotic manual intake to AI processing engine

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The Evolution Journey

Turn faxes/emails into clean referrals. Validate and route.

Stage 1: Manual Chaos Processing

Referrals arrive via fax, email, phone in wildly different formats
Manual transcription from paper/PDFs into EMR fields
Inconsistent data capture with frequent errors and omissions
Lost referrals buried in email threads or fax piles
Hours/days delay before referral enters proper workflow

Stage 2: AI-Enhanced Processing (Smart Extraction)

AI parses and extracts structured data from any format
OCR for fax documents, intelligent email parsing for attachments
Auto-population of EMR fields with human verification step
Smart routing based on urgency, specialty, and referrer patterns
Standardised intake format regardless of source channel

Stage 3: AI Intake Engine (Prevention Model)

AI instantly processes referrals across all channels in real-time
Automatic validation against referrer database and patient records
Direct booking suggestions based on availability and clinical match
Proactive follow-up with referrers for missing information
Exception-only human review for complex or incomplete cases

Key Benefits

Zero lost referrals through intelligent capture
Instant EMR integration with validated data
Same-day processing for all referral types
Improved referrer relationships through reliability

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