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Description
The JiveX DICOM Viewer is an integral part of the JiveX Healthcare Content Management suite, designed for effective visualization of medical images. This stand-alone application specializes in displaying and processing DICOM data, making it particularly useful in settings beyond radiology, such as in patient wards or during surgical procedures. Users benefit from high-quality image presentation and diagnostic tools, all while navigating an interface that prioritizes ease of use. It accommodates a wide range of DICOM modalities and is equipped with extensive image processing capabilities, including tools for measurements, annotations, and comparison views. Additionally, the viewer offers customizable display protocols to meet specific user needs, facilitating quick and straightforward access to images. Its seamless integration within existing hospital and clinical workflows enhances operational efficiency. Furthermore, the viewer supports multiple languages and ensures secure patient data access through user authentication measures. It also allows for the convenient import and export of DICOM files via CD/DVD or USB stick, thereby enhancing interoperability within various healthcare settings. With its robust features, the JiveX DICOM Viewer stands out as an essential tool for medical imaging professionals.
Description
Radiolens is an innovative PACS radiology workflow solution powered by AI that enhances diagnostic processes by automatically identifying low-quality scans and generating preliminary reports for various common modalities. This system promotes clinical collaboration and improves workflow efficiency, leading to better-informed decision-making. It features automated task assignments to optimize workload distribution and provides actionable insights that are both quantitative and qualitative, enhancing the speed and accuracy of reporting. Additionally, it includes a lightweight DICOM Viewer that allows users to access cases from mobile devices, thereby eliminating the need for on-site presence with its cloud-based solution. Users receive real-time notifications on their devices, ensuring timely updates. With top-notch accuracy, unlimited image backup, and straightforward archiving capabilities, Radiolens also delivers instant AI-evaluated biomarkers for essential qualitative and quantitative metrics such as CCAP diameter, listhesis, compression fractures, IV disc height, and thecal sac measurements. Its intelligent server automatically matches templates to studies based on the patient's gender and the modality being used, streamlining the workflow further. This comprehensive approach not only enhances the efficiency of radiology departments but also significantly elevates the quality of patient care.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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
VISUS Health IT
Founded
2000
Country
Germany
Website
www.visus.com/en/downloads/jivex-dicom-viewer.html
Vendor Details
Company Name
Synapsica
Country
India
Website
synapsica.com/radiolens/
Product Features
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
