MEDISCAN: From Paper Records to Clinical Data In Seconds
Healthcare digitisation is being held back by manual, fragmented processes: clinicians searching for notes, admins re-keying the same data into multiple systems, discharge delays, and increased patient safety risk when history is incomplete.
MEDISCAN modernises this workflow by converting unstructured medical documents into structured, governed data inside Snowflake, ready for eMR integration, reporting, analytics, and compliance.
The Problem MEDISCAN Solves
Health information teams are expected to digitise:
- A constant influx of new records
- A multi-decade backlog of historical files
- Mixed document quality (scans, PDFs, faxes, handwriting)
- Repeated manual re-entry across systems
This creates enterprise-wide bottlenecks and complications:
- Clinicians lose time searching for documentation
- Discharge and referral processes slow down
- Patient safety risks rise when allergies, medications, and key history are missed
- Storage and operational costs continue to climb
The MEDISCAN Solution
MEDISCAN uses OCR and Snowflake Document AI to automatically:
1. Ingest scanned medical records and clinical PDFs
2. Extract and classify clinical content (fields, sections, document types)
3. Structure outputs into governed tables for analytics and eMR workflows
4. Improve over time through adaptable model training for outlier document types
Within seconds, documents such as discharge summaries, referral letters, and pathology reports become structured, query-able data that runs in parallel with the source document and can be routed into downstream systems.
Core Features and Capabilities
1. Intelligent Document Processing
MEDISCAN applies advanced OCR and Snowflake Document AI models to extract structured data accurately at scale.
Automation: AI-based field extraction with high accuracy across document sets
Diverse capability: Supports scanned PDFs, digital PDFs, and handwritten notes
Scalability: Processes high volumes using Snowflake’s elastic compute
2. Snowflake Native Integration
MEDISCAN runs entirely within your Snowflake environment, designed for sovereignty, security, and operational simplicity.
Data sovereignty: No external data movement or third-party access required
No local installations: Cloud-native architecture that reuses your existing Snowflake account
Automated reporting: Real-time pipelines to automate recurring reports
Healthcare compliance: Compliance-first architecture using Snowflake Business Critical Edition
3. Healthcare Data Structuring
Structured outputs designed for clinical interoperability and system integration.
eMR-ready data: HL7 and FHIR-compatible structured tables
Manual review + auditing workflow: Validation and flagging of low-accuracy documents for quality control
4. Dashboard and Analytics Reporting
Operational visibility and governance built into the workflow.
Real-time reporting and alerts: Track progress, throughput, and exceptions
Anomaly detection: Detect extraction errors and route items for correction
Data governance: Audit logs, compliance reporting, and data management controls
5. Adaptability at Scale
Elastic performance: Scales with Snowflake compute as volumes grow
Custom model training: Improve performance on uncommon document layouts and edge cases
Why Choose MEDISCAN
Accuracy: AI-driven interpretation reduces human error
Efficiency: Digitise large volumes in minutes, not days
Interoperability: Structured outputs designed to support eMR/eHR workflows
Security: Enterprise-grade controls, access management, and encryption
Scalability: Built for the Snowflake Data Cloud
Organisational Benefits and Impact
Time and Efficiency Gains
- Eliminates repeated manual data entry across systems
- Speeds document processing from hours/days to minutes
- Enables instant record retrieval for clinicians
- Reduces discharge and referral delays by removing documentation bottlenecks
- Supports cleaner digital handovers between shifts
Direct Cost Savings
- Reduces FTE assigned to manual processing to focus on higher value responsibilities
- Lowers physical storage, printing, and photocopying costs
- Reduces reliance on transcription and retrieval services
- Helps prevent duplicate tests by improving history completeness
Risk Reduction and Patient Safety
- Improves visibility of critical patient history and decreases document turnaround
- Enables extraction and flagging of key risk fields (for example, allergies)
- Reduces adverse events linked to missing or inaccessible information
- Strengthens continuity of care across facilities and settings
Compliance and Quality Assurance
- Digital audit trails with timestamps
- Structured data to support regulatory reporting
- Real-time monitoring of data quality and throughput
- Standardised documentation outputs across departments
Data Governance, Analytics, and Research Enablement
- Population health analytics and trend identification
- Operational insight into discharge times, bed utilisation, and throughput
- Bench-marking across facilities and departments
- Foundations for clinical research and future AI/ML initiatives
- Longitudinal outcome tracking over time
Interoperability and Standards
MEDISCAN is designed to integrate into existing clinical ecosystems
- HL7 and FHIR compatibility for structured outputs
- Alignment with openEHR-style interoperability goals
- Supports secure health information exchange and cross-facility coordination
- Improves referral networks with structured discharge summaries and clinical extracts
Deployment Model
Many health services already use Snowflake as their enterprise data platform - MEDISCAN can be installed via the Snowflake Marketplace:
- Runs fully inside the customer’s Snowflake account
- Avoids new infrastructure procurement
- Minimises compliance friction by keeping data in place
- Scales immediately with Snowflake compute
Quantified Value Proposition
Organisations adopting MEDISCAN will see an estimated:
- 40-60% reduction in manual data entry effort
- 30-50% faster document processing throughput
- 20-30% reduction in physical storage costs per year
- Improved Activity Based Funding accuracy through cleaner coding inputs
- Fewer discharge delays and readmissions through faster documentation availability
(Actual results vary by document mix, data quality, and workflow design.)
Next Steps
If you’re responsible for healthcare digitisation, health information management, or digital health analytics, MEDISCAN can help you move from paper-heavy workflows to governed, structured clinical data, without leaving Snowflake.
Request a free trial below
Discuss your backlog and document types
Plan a Snowflake-native deployment and governance approach
