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Average Ratings 0 Ratings
Description
Evorad serves as a holistic enterprise imaging solution that integrates the management, viewing, reporting, collaboration, and patient accessibility of medical images into a single, secure, and scalable framework, effectively combining PACS (Picture Archiving and Communication System) and zero-footprint diagnostic viewing with ultra-fast load times, structured reporting, collaborative features, and adaptable AI-enhanced workflows to enable radiology teams to achieve quicker and more reliable diagnoses. This platform adheres to industry standards such as DICOM, DICOMweb, and HL7, facilitating smooth interoperability with current EHR/RIS/HIS systems, while offering a vendor-neutral archive that guarantees data portability, compliance, and secure long-term storage. Evorad can be implemented in various setups, including cloud, hybrid, or on-premise configurations, complete with tiered storage options and robust uptime management. Additionally, Evorad boasts innovative capabilities like browser-based 3D visualization, intelligent worklists, automated queue balancing, and efficient tools for aligning study metadata, ensuring that prior images are easily accessible as needed. Overall, Evorad aims to enhance the workflow of medical imaging professionals by providing a comprehensive and user-friendly platform.
Description
INFINITT PACS 7.0 stands out as a faster and more robust diagnostic viewer, meticulously designed to integrate AI capabilities for both image analysis and enhancements in radiology workflows. This system features an AI-driven Dynamic Worklist that intelligently assesses incoming tasks, prioritizing urgent cases and organizing them in user-specific worklists based on their importance and reading status. It enables the categorization of tasks into customizable folders, tailored to fit individual reading preferences while also tracking progress against service level agreements.
With advanced AI image analysis, users can be directed swiftly to critical areas within images, as it identifies anomalies and highlights regions of interest while applying preferred viewing configurations. The system also includes a user-friendly thumbnail display that shows images in chronological order, facilitating quick access to relevant prior images that can be easily dragged onto the Virtual Monitor for in-depth evaluation. Additionally, an integrated notification system ensures users receive timely alerts and reminders regarding their tasks and priorities. Overall, this comprehensive approach streamlines the radiology workflow, enhancing both efficiency and accuracy in diagnostics.
API Access
Has API
API Access
Has API
Integrations
Loadbalancer.org
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IKnowHealth
Founded
2023
Country
Greece
Website
www.evorad.com
Vendor Details
Company Name
INFINITT North America, Inc.
Founded
1997
Country
United States
Website
www.infinittna.com
Product Features
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management
PACS
Comparison View
Data Compression
Diagnostic Reporting
HL7 Support
Image Management
Mobile Access
Non-DICOM Imaging Support
Patient Portal
Referring Physician Portal
Voice Recognition
Product Features
PACS
Comparison View
Data Compression
Diagnostic Reporting
HL7 Support
Image Management
Mobile Access
Non-DICOM Imaging Support
Patient Portal
Referring Physician Portal
Voice Recognition