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What is INFINITT PACS?

INFINITT PACS 7.0 is a standout diagnostic viewer that offers enhanced speed and reliability, specifically engineered to incorporate AI features that optimize image analysis and streamline radiology processes. This innovative system includes an AI-powered Dynamic Worklist that efficiently evaluates incoming tasks, prioritizing urgent cases and arranging them into user-defined worklists according to their significance and reading status. Users can also create custom folders for task organization, which align with personal reading habits while monitoring their performance relative to service level agreements. Equipped with sophisticated AI image analysis, the platform directs users quickly to critical areas within images, detecting anomalies and emphasizing regions of interest, all while maintaining preferred viewing settings. It features a convenient thumbnail display that organizes images chronologically, allowing for rapid access to pertinent prior images that can be easily dragged onto the Virtual Monitor for thorough examination. Furthermore, an integrated notification system keeps users informed with timely alerts and reminders about their responsibilities and priorities. This holistic strategy not only enhances the radiology workflow but also significantly boosts both efficiency and diagnostic precision in clinical settings, ultimately contributing to improved patient care.

What is Canopy Partners?

Leading Imaging AI and radiology IT solutions, acclaimed in KLAS rankings, can be deployed on-site, via cloud, or through a hybrid model tailored to meet your organization’s specific needs. Leveraging our vast scale and robust vendor relationships, we are able to improve your return on investment while reducing your imaging and radiology IT costs. Canopy Partners is dedicated to crafting flexible, client-centric business solutions aimed at enhancing productivity, boosting profitability, and improving patient care. Our clinical IT team brings significant experience in working with clients across the nation, conducting evaluations for some of the most prestigious imaging practices available. Should you wish to enhance the efficiency of your imaging operations, we stand ready to provide you with a comprehensive and unbiased IT assessment. Our advanced PACS system, also highly esteemed in KLAS rankings, presents versatile deployment choices, whether on-premise or through cloud platforms. We are confident that we can help you achieve considerable savings while configuring your system as an operating expense, thus alleviating the burden of a large upfront investment. Our unwavering commitment to addressing your needs guarantees that you will receive the highest quality support to maximize your imaging potential. Additionally, we believe that partnering with us will not only streamline your processes but also empower your team to deliver exceptional patient outcomes.

Media

Media

Integrations Supported

Loadbalancer.org
MODALIZER+

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad
Windows

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

INFINITT North America, Inc.

Date Founded

1997

Company Location

United States

Company Website

www.infinittna.com

Company Facts

Organization Name

Canopy Partners

Company Location

United States

Company Website

www.canopy-partners.com

Categories and 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

Categories and Features

PACS

Not specified

Radiology

Not specified

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