ReddRadar
What is StrokeViewer?
StrokeViewer is a sophisticated medical imaging platform that revolutionizes stroke care by enabling instant sharing of critical patient information across entire stroke networks. The platform combines advanced AI processing with DICOM-certified mobile viewing capabilities, allowing physicians to make rapid diagnostic decisions anywhere, anytime.
The system features GDPR and HIPAA-compliant chat and screen sharing functionalities, seamless integration with existing PACS systems, and multiple access methods including mobile devices and email. With proven clinical impact, StrokeViewer has demonstrated significant improvements in EVT utilization, diagnosis accuracy, and patient outcomes.
Features
- Instant Image Sharing: Real-time sharing of critical patient information across stroke networks
- Mobile DICOM Viewer: Certified viewer for diagnostic-quality images on mobile devices
- AI Processing: Automated analysis of stroke imaging with high accuracy rates
- Secure Communication: GDPR and HIPAA compliant chat and screen sharing
- Multi-platform Access: Seamless access through mobile, email, or PACS integration
- Automated Workflow: Streamlined patient transfer and decision-making processes
Use Cases
- Emergency stroke diagnosis and triage
- Remote consultation and second opinions
- Inter-hospital patient transfer coordination
- Hemorrhage detection and analysis
- Large vessel occlusion detection
- Collaborative treatment planning
FAQs
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What are the accuracy rates for hemorrhage detection?
StrokeViewer achieves 91.4% sensitivity, 97.5% specificity, and 95.6% accuracy for ICH Detection within Hemorrhage Triaging. -
How does StrokeViewer improve patient outcomes?
The platform reduces door-to-groin time for late window transfer patients by 13 minutes, increases EVT utilization by 28%, and improves diagnosis of previously missed occlusions by 50%. -
Is the platform compliant with healthcare privacy regulations?
Yes, StrokeViewer is fully GDPR and HIPAA compliant, ensuring secure handling of patient data and communications.
