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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
GE HealthCare's cutting-edge AI technologies enhance scanning instructions, boost workflow efficiency, and provide improved support for clinical decisions within our ultrasound range. This advancement aims to elevate quality and ensure that even novice ultrasound practitioners feel assured while performing scans. Caption Guidance aids clinicians across all experience levels in mastering cardiac imaging through AI-driven image enhancement. With step-by-step on-screen assistance, newcomers can approach scanning tasks with greater assurance. Additionally, a quality meter evaluates image clarity to ensure diagnostic-grade results. The AutoCapture feature conveniently saves images automatically, eliminating the need to manually press record. By empowering a wider segment of your team with the capabilities of cardiac ultrasound, we strive to enhance patient care accessibility. Our GE HealthCare ultrasound systems integrate AI features that can positively impact your everyday operations, spanning from cardiology to point-of-care ultrasound (POCUS) and beyond. Seize control of cardiac image acquisition with the innovative guidance provided by our caption assistance. Ultimately, this transformative technology makes it easier for healthcare professionals to deliver accurate and timely diagnostics.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
ViewPoint 6
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
GE HealthCare
Country
United States
Website
www.gehealthcare.com/products/ultrasound/ultrasound-digital-solutions/verisound-ai
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