Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
PACScribe is a cloud-based medical imaging platform built to simplify how clinicians access, analyze, and share diagnostic images. The software provides a complete PACS system with secure web-based access to DICOM images from multiple devices and locations. Healthcare providers can upload, view, and manage images from various modalities including MRI, CT scans, X-rays, ultrasound studies, and other specialized imaging formats. PACScribe incorporates AI-powered analytics that automatically generates structured reports, helping clinicians identify key findings more quickly. The platform includes advanced annotation tools that allow physicians to mark areas of interest and add detailed notes directly on medical images. A built-in DICOM viewer enables secure image sharing and collaboration between specialists for faster consultations and second opinions. PACScribe also integrates with electronic health record systems like Epic to synchronize patient imaging data with broader medical records. The cloud-based architecture allows the platform to scale across AWS, Azure, or Google Cloud environments for flexible deployment. Strong security features such as encrypted storage and regulatory compliance help protect sensitive patient data. By combining AI diagnostics, secure cloud storage, and workflow integration, PACScribe improves the efficiency of medical imaging management for healthcare providers.
Description
Enhance your team's capability to make informed decisions that not only improve IT operations but also positively affect patient outcomes. With seamless integrations and top-tier data security protocols, data can be accessed from various locations, devices, and portals. By eliminating outdated migration tools and consolidating vendors, you can achieve significant cost savings and efficiency improvements through a unified imaging network. Silverback evolves with each data interaction, becoming increasingly intelligent and efficient. Over time, its engine recognizes and monitors patterns, providing predictive insights across the image network. At the core of the Silverback platform, Vue serves as an adaptive DICOM router that smartly directs studies throughout the organization. This router skillfully manages images for diverse sites and vendors using tailored logic rules. Vue can be strategically positioned either in front of the PACS or behind the modalities, ensuring optimal capture, management, and distribution of studies across the entire network. Embracing such innovative technology can lead to more streamlined workflows and better healthcare delivery.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
SAP Store
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
Folio3 Digital Health
Founded
2005
Country
United States
Website
pacscribe.com
Vendor Details
Company Name
DataFirst
Country
United States
Website
www.datafirst.com/silverback/
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
Medical Imaging
Automated Routing
Comparison View
Compliance Management
Data Import / Export
Diagnostic Reporting
Image Analytics
Treatment Planning
Workflow Management