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Snowflake Native App

The MEDISCAN Solution

A Snowflake-native AI document intelligence platform purpose-built for healthcare. Deploy in 10 minutes, process at $0.10 per page, and keep all data within your existing Snowflake environment.

$0.10
Per page processed
97-99%
Extraction accuracy
10 Min
Deployment time
80%
Average cost reduction

Zero Data Movement Architecture

MEDISCAN runs entirely within your Snowflake account. With a 10 Minute Deployment Time, you can start processing medical documents without moving data outside your secure environment.

Step 01

Document Ingestion

Documents are staged directly in Snowflake internal or external stages. Supports PDF, TIFF, PNG, JPEG, and multi-page formats.

Step 02

AI Processing Pipeline

MEDISCAN's OCR engine and clinical NLP models run as Snowflake Native App functions, processing pages at 97-99% accuracy on clean, high-quality printed documents.

Step 03

Structured Output

Extracted entities, values, and metadata land directly in Snowflake tables using pre-defined healthcare schemas (FHIR-aligned output available).

Step 04

Analytics & Reporting

Query extracted data with standard SQL. Connect to Tableau, Power BI, or any Snowflake-compatible BI tool for immediate insights.

MEDISCAN vs. Traditional Solutions

Compare how MEDISCAN stacks up against manual entry, outsourced processing, and on-premise OCR systems.

Feature
MEDISCAN
Traditional
Cost per page
$0.10 per page
$4.20 - $7.00 per page
Extraction Accuracy
97-99% (clean documents)
70-85% (legacy OCR)
Deployment Time
10 Minute Deployment Time
4-12 weeks
Data Movement
Zero - stays in Snowflake
Multiple system transfers
HIPAA Compliance
Varies
Volume Discounts
Available for high-volume
Rarely available
Infrastructure Required
None - Snowflake native
Servers, VMs, agents
Ongoing Maintenance
Fully managed by MEDISCAN
In-house IT required
Average Cost Reduction80% Savings

Performance Comparison

Relative performance scores (higher is better)

MEDISCAN
Traditional Solutions

AI-Powered OCR & NLP

MEDISCAN achieves 99% accuracy on clean, high-quality printed documents. Accuracy ranges from 97-99% depending on document quality and type, in line with industry benchmarks for AI-based OCR systems.

Accuracy is highest on typed, printed text. Handwritten notes and low-resolution scans may achieve lower extraction rates. Contact our team for document-specific benchmarks.
99%
Printed Documents
97-99%
Mixed Quality
98%+
Clinical NLP Entities
98%+
Structured Forms
Quality Assurance

Configurable Human Review Workflow

MEDISCAN includes a built-in manual review process for extractions that fall below your organisation's confidence threshold. Rather than passing uncertain results directly to downstream systems, low-confidence pages are automatically flagged for human review, giving your clinical or data team a structured queue to verify and correct before results are committed.

The accuracy threshold is fully configurable per document type and workflow. Set a higher threshold for critical clinical documents like discharge summaries, and a more permissive threshold for lower-stakes administrative forms, balancing automation with the level of oversight your organisation requires.

Set confidence thresholds per document type
Low-confidence extractions automatically queued for review
Reviewers approve, correct, or reject flagged fields
Corrections feed back to improve future extraction accuracy
Full audit trail of every human review action

Review Threshold Configuration

Discharge SummariesThreshold: 97.5%
Average accuracy99.0%
Referral LettersThreshold: 97.5%
Average accuracy98.5%
Pathology ReportsThreshold: 97.5%
Average accuracy99.5%
Admin FormsThreshold: 97.5%
Average accuracy97.5%
Extractions below threshold are held in the review queue and excluded from downstream outputs until approved.

Analytics Dashboard

Live
12,847
Pages Processed
This month
98.4%
Avg Accuracy
↑ 0.3% vs last month
94.1%
Auto-approved
No review needed
43
Review Queue
Pending review
Accuracy by Document Type
Discharge Summaries99%
Pathology Reports98%
Referral Letters97%
Handwritten Notes95%
Built-in Analytics

Real-Time Processing Analytics

MEDISCAN includes a live analytics dashboard natively within your Snowflake environment. Monitor document processing volume, track extraction accuracy across document types, and keep visibility over your review queue, all without leaving your existing data platform.

Because all data stays in Snowflake, the analytics dashboard can be connected directly to your existing BI tools: Tableau, Power BI, Looker, or Sigma, giving your team a single pane of glass across processing metrics and downstream clinical insights.

Live processing volume and throughput metrics
Per-document-type accuracy tracking over time
Review queue depth and resolution rate monitoring
Error rate trends and anomaly detection
Exportable reports for compliance and audit purposes

Simple, Transparent Pricing

$0.10 per page processed. No setup fees, no hidden costs, no infrastructure to manage. Volume discounts available for high-volume organisations.

Most Popular

Standard

$0.10per page

For healthcare organisations getting started with document digitisation.

  • Up to 50,000 pages per month
  • Advanced clinical NLP models
  • Custom entity schemas
  • Priority processing queue
  • FHIR-aligned output
  • SLA-backed response times
View on Snowflake Marketplace

Enterprise

Customvolume pricing

Tailored solutions for large health systems and networks.

  • Unlimited pages per month
  • Custom model fine-tuning
  • Dedicated support engineer
  • Custom SLA agreements
  • BAA included
  • Volume discounts
View on Snowflake Marketplace

All plans include HIPAA compliance, SOC 2 Type II certification, and zero data movement architecture.

Start Processing Medical Documents Today

Deploy MEDISCAN from the Snowflake Marketplace in 10 minutes. No infrastructure setup, no data migration, no risk.