Average Ratings 0 Ratings
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
The Open Health Imaging Foundation (OHIF) Viewer is an open-source web platform dedicated to medical imaging, providing a robust framework for the creation of intricate imaging applications. It is designed to quickly load large radiology studies by pre-fetching essential metadata and streaming imaging pixel data as needed. With the integration of Cornerstone3D, it efficiently decodes, renders, and annotates medical images. Users benefit from seamless compatibility with DICOMWeb-compliant image archives and a data source API that allows for integration with proprietary API formats. The viewer’s plugin architecture enables the development of specialized workflow modes that make use of existing core functionalities. Additionally, its user interface, crafted using React.js and Tailwind CSS, not only boasts a visually appealing design but is also built for extensibility, featuring a library of reusable UI components that enhance overall usability and customization. This combination of features positions the OHIF Viewer as a versatile tool in the field of medical imaging.
API Access
Has API
No
API Access
Has API
Yes
Integrations
React
No
Tailwind CSS
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
IKnowHealth
Founded
2023
Country
Greece
Website
www.evorad.com
Vendor Details
Company Name
OHIF
Country
United States
Website
docs.ohif.org
Product Features
Medical Imaging
Automated Routing
No
Comparison View
No
Compliance Management
No
Data Import / Export
No
Diagnostic Reporting
No
Image Analytics
No
Treatment Planning
No
Workflow Management
No
PACS
Comparison View
No
Data Compression
No
Diagnostic Reporting
No
HL7 Support
No
Image Management
No
Mobile Access
No
Non-DICOM Imaging Support
No
Patient Portal
No
Referring Physician Portal
No
Voice Recognition
No