Medical AI Diagnostic
Clinical Grade
AVIEW Pseudonymization Server
Healthcare Data De-identification - Automated Medical Data Pseudonymization
PACS / DICOM Compatible
HIPAA / GDPR
Clinical Overview & Details
Secure Research with Automated Data De-identification
In the era of medical big data, pseudonymization of patient information is essential. AVIEW enables secure research with automated healthcare data de-identification.
Key Features:
- Automated de-identification of patient data
- Batch pseudonymization processing
- DICOM metadata anonymization
- Enhanced data security and compliance
- Efficient management of large datasets
- Support for multi-center research collaboration
- Customizable pseudonymization rules
Key Highlights & Benefits
Rapid Automated Processing
Accelerates radiological reading speed while minimizing diagnostic errors.
Subtle Anomaly Detection
Identifies early-stage findings with deep learning neural networks.
Seamless PACS Integration
Integrates directly into hospital workflows without workflow disruption.
Quantitative Metrics
Generates automated volumetric and progression tracking metrics.
Request Live Demonstration
Experience AVIEW Pseudonymization Server with your clinical team. Schedule a custom evaluation.
Technical Specification
Modality
CT / MRI / X-Ray
Deployment
Cloud / On-Premise
Protocol
DICOM 3.0 / HL7
Data Security
End-to-End Encrypted