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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Unifier stands out as an advanced and interoperable enterprise imaging platform that guarantees seamless integration of health data, making it readily available and enhancing both patient care and IT efficiency. Dicom Systems offers a comprehensive range of adaptable enterprise imaging solutions designed to grow alongside your organization. This platform supports teleradiology processes, smart data routing, SSL-based integration tools for DICOM and HL7, and features an AI on-ramp, culminating in robust vendor-neutral archiving for large enterprises. It allows for routing based on any standard or private DICOM tag, as well as by specific dates and times, while also caching data for future delivery. The system ensures interoperability across diverse information systems and any devices that support DICOM and HL7. Additionally, it conducts checks for incomplete study deliveries to guarantee that all necessary data is transferred. With intuitive configuration tools and an easy-to-follow setup wizard, the platform ensures a seamless user experience. Furthermore, it includes comprehensive management capabilities for enterprise-wide configuration, along with detailed logging and auditing features to support HIPAA compliance, making it an all-encompassing solution for modern healthcare data management.

Description

Fovia Ai's F.A.S.T. aiCockpit serves as an AI viewer that enhances navigation, visualization, and interaction with AI-generated results from various vendors and algorithms through a unified user experience that minimizes the number of clicks needed. This platform facilitates the visualization and interaction of all algorithm outcomes within a single, user-friendly interface, significantly improving the workflow for radiologists and clinical professionals. By providing physician-validated insights to AI orchestrators, PACS, and reporting systems, it adheres to the most up-to-date interoperability standards. The system is compatible with multiple AI formats, such as DICOM Structured Reports, DICOM Key Images, DICOM GSPS, and DICOM segmentation objects. Furthermore, F.A.S.T. aiCockpit boasts a cloud-ready architecture, enabling access to AI-assisted radiology results from anywhere at any time via any web-enabled browser. With just one straightforward integration, users can seamlessly complete their AI capabilities without the need to switch between various viewers, thus streamlining their overall workflow even further. This innovative approach not only enhances efficiency but also empowers healthcare professionals to make more informed decisions quickly.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

MODALIZER+ Yes 

Integrations

MODALIZER+ No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Dicom Systems

Website

dcmsys.com/solutions/unifier-enterprise-imaging-platform/

Vendor Details

Company Name

Fovia Ai

Founded

2003

Country

United States

Website

fovia.ai/index.php/fast-aicockpit/

Product Features

Radiology

Audit Trail No 
Billing & Invoicing No 
Claims Management No 
EDI No 
EMR HL7 Bridge No 
Image Fusion No 
PACS Integration Yes 
Patient Scheduling No 
Scanning Input No 
Teleradiology Yes 
Wait List Management No 

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