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Description
ImageGrid PACS is an economical and comprehensive picture archiving and communication system designed to facilitate multi-modality image storage, management, visualization, and enhance workflow efficiency across various healthcare networks. With a robust track record of more than 4,000 installations, it provides scalable DICOM storage solutions ranging from 1 TB to several hundred terabytes, featuring a RAID architecture that allows for straightforward expansion as organizational demands increase. The system includes self-monitoring capabilities and automated reporting through SMTP or ASTRA notifications to ensure seamless operational continuity, along with a user-friendly web-based administration interface for easier setup and management. Among its array of image management tools are functions for patient merging, splitting, and linking, as well as rule-based automated fetching of prior images, quality control measures, anonymization processes, and the ability to encapsulate non-DICOM files such as PDFs, JPEGs, and TIFFs. The innovative Dynamic Tag Morphing engine allows for policy-driven adjustments of DICOM headers, ensuring consistent access to prior images across different studies. This level of adaptability and efficiency makes ImageGrid PACS a valuable asset for any healthcare facility looking to optimize their imaging workflow.
Description
The ONIS Viewer serves as a comprehensive DICOM viewer and PACS workstation tailored for medical imaging professionals who demand both high performance and scalability. It accommodates a wide variety of DICOM formats and is equipped with a suite of tools for image review, analysis, and diagnosis. Essential functionalities such as window leveling, zooming, panning, rotation, and measurement capabilities are complemented by advanced features including multi-planar reconstruction, 3D volume rendering, and cine loop playback. Additionally, ONIS offers robust annotation tools, facilitates the comparison of multiple studies, and allows synchronized scrolling across different series for enhanced analysis. Seamless integration into existing workflows is a key design feature, enabling support for DICOM Query/Retrieve, DICOM Store, and DICOM Print services. Users can efficiently manage patient data through a built-in database that includes search functionality. Furthermore, ONIS incorporates user authentication, logging, and access control mechanisms to ensure the utmost data security and privacy. This viewer not only enhances the efficiency of medical imaging processes but also empowers professionals with the tools necessary for accurate diagnoses.
API Access
Has API
API Access
Has API
Integrations
HL7 FHIR
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$499 one-time payment
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
Candelis
Country
United States
Website
www.candelis.com/products/imagegrid-pacs/overview
Vendor Details
Company Name
ONIS
Founded
2009
Country
United States
Website
www.onis-viewer.com
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
Radiology
Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management
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
