Turn scanned medical records and clinical PDFs into structured, query-able data, securely inside your Snowflake account.
Health information teams are under pressure from constant incoming records and decades of historical backlogs. The result is slow retrieval, duplicated data entry, delayed discharges, and avoidable clinical risk when critical information remains trapped on paper.
MEDISCAN is a Snowflake Native Application that uses OCR + Snowflake Document AI to extract, classify, and structure clinical information from scanned documents, PDFs, and legacy outputs, so your teams can move faster with higher accuracy and stronger governance.
- Faster access to patient history with structured outputs alongside original documents
- Reduced manual processing through high-accuracy AI-based field extraction
- Compliance-first architecture with enterprise controls and audit tools
- Scalable processing using Snowflake’s elastic compute
- Supports scanned PDFs, digital PDFs, and handwritten notes
- Produces eMR-ready structured tables (HL7/FHIR-compatible)
- Includes manual review + audit workflows to validate low-confidence extractions
- Enables real-time reporting, alerts, and data quality monitoring
- Runs directly in your Snowflake account - no external data movement
- Deploy-able via the Snowflake Marketplace - no extra licensing
- No local installations, reuses your existing Snowflake environment and with assigned roles
Contact Root Cause Analytics for assistance, or review error messages in the app for diagnostics.