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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
Healthcare providers can offer optimal treatment when equipped with advanced and user-friendly technology. Enhance your efficiency with our top-tier cardiovascular imaging solution. Drawing from over ten years of experience in streamlining workflows, we focus on improving your practice. Effortlessly identify wall motion abnormalities with our system. Key metrics such as stroke volume, ejection fraction, as well as end-diastolic and end-systolic volumes and masses are automatically displayed. Evaluate intricate cardiovascular structures through both 2D and 3D visualization options, along with a variety of measurement tools. Our solution delivers objective, automated quantitative analysis of myocardial blood flow, achieving expert-level precision without user bias. Additionally, it allows for the visualization and quantification of enhanced fibrosis distribution. In the DICOM images, colored lines indicate corresponding areas in the ADAS 3D image for each slice, facilitating a comprehensive understanding of the patient's condition. By integrating these features, we aim to empower healthcare professionals with the insights needed for informed decision-making.
API Access
Has API
API Access
Has API
Screenshots View All
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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
Folio3 Digital Health
Founded
2005
Country
United States
Website
pacscribe.com
Vendor Details
Company Name
Circle Cardiovascular Imaging
Founded
2007
Country
Canada
Website
www.circlecvi.com
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