AI-TRF Scan
Automated data extraction from patient documents for lab registration, processing test requisition forms and insurance details in under 30 seconds.
Overview
AI-TRF Scan is an AI-driven patient registration solution developed by CrelioHealth, designed for high-volume laboratories and clinical settings that need to accelerate order booking and reduce manual data entry. Built on a secure, scalable cloud infrastructure and powered by Google's Gemini model, AI-TRF Scan automates the extraction and digitization of data from Test Requisition Forms (TRFs), insurance cards, and ID proofs — enabling labs to onboard patients in under 15 seconds and process documents in under 30 seconds.
The platform addresses the core inefficiencies of manual registration workflows, where data entry can take over five minutes per patient, insurance errors delay billing, and high patient volumes create bottlenecks at the front desk. By converting unstructured, handwritten, scanned, or printed documents into standardized order formats, AI-TRF Scan frees staff for higher-value work and supports faster, more informed clinical decision-making.
Core Capabilities
- Automated Data Entry: Instantly digitizes and interprets handwritten, scanned, or printed patient documents, eliminating the need for manual input.
- Real-Time Data Processing: Provides immediate access to patient data, enabling quicker clinical decisions and streamlining lab operations.
- Enhanced Accuracy and Data Integrity: AI-driven validation minimizes errors and ensures reliable, consistent information for every patient record.
- One-Step Upload: Supports uploading TRFs, insurance cards, and ID proofs in a single workflow, accepting PDF, JPG, and PNG file formats.
- Auto-Extracted Fields: Automatically populates patient demographics, insurance details, and referral data with 95%+ accuracy.
- Bulk Processing: Processes 20 or more TRFs simultaneously during busy periods, making it ideal for high-volume labs and peak registration times.
- HIPAA-Compliant AI: Ensures top-notch data security and full healthcare compliance throughout the registration process.
How It Works: 3-Step Workflow
- Drag and Drop Documents: Upload TRF, insurance card, and ID proof through an intuitive interface supporting PDF, JPG, and PNG formats.
- AI Extracts and Merges Details: The AI reads all uploaded documents, extracts patient information, and intelligently merges data across sources for maximum accuracy.
- Confirm and Create Patient: Review the extracted data, make any necessary adjustments, and create the patient record in seconds.
Manual Registration vs. AI-Powered TRF Solution
- Manual data entry takes over 5 minutes per patient; AI processes documents in under 30 seconds.
- Insurance information errors that delay billing are replaced by accurate extraction that ensures faster billing cycles.
- Repetitive front desk tasks are automated, freeing staff for higher-value responsibilities.
- Registration bottlenecks during high patient volumes are resolved through bulk processing capabilities.
Upcoming Features
- Custom TRF templates for individual lab networks.
- Emergency flags and priority patient indicators.
- Auto-detection of sample collection time and fasting requirements.
- Enhanced test code matching and validation.
- Advanced bulk processing workflows with error handling.
Pilot Program
- Full feature access with no setup fees or monthly costs during the beta phase.
- Unlimited document processing throughout the pilot.
- Dedicated implementation support for early adopters.
- Priority incorporation of user feedback into product updates.
AI-TRF Scan is currently live with 30+ leading labs and has demonstrated an 80% reduction in registration time alongside improved billing accuracy. The solution integrates within CrelioHealth's broader laboratory information system (LIS) ecosystem, leveraging AI and OCR technology to reduce manual data entry tasks by up to 90% and enhance operational efficiency across patient registration and insurance claims workflows.
