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What is MiniPACS?

MiniPACS is a self-sustaining PACS solution designed specifically for independent radiology and imaging centers that wish to own their data storage instead of renting cloud services on a study-by-study basis. This system effectively handles standard DICOM C-STORE data from multiple imaging modalities such as CT, MR, US, and XR, allowing studies to be quickly accessed through an integrated browser viewer that opens in under a second, thus preventing any delays for radiologists due to loading times. Radiologists can utilize voice commands to dictate their reports, make use of structured templates and dot-phrase macros, and finalize reports as DICOM PDFs that are included within the study, offering patients a secure PIN-protected sharing link or a standalone disc that operates on any computer. The complete system runs smoothly on a compact mini PC employing Docker, and it features AES-256 encrypted backups, a customizable role-based access control (RBAC) matrix, a self-service HIPAA Accounting of Disclosures report, and an immutable audit log that users can verify directly through their browser. Priced at $300 per location monthly, with no extra fees for each study, a one-click live demo is also available for potential users. This combination of features and affordability positions MiniPACS as an appealing choice for facilities aiming to enhance their imaging workflows while retaining full control over their data management. Ultimately, MiniPACS not only streamlines operations but also prioritizes data security and user convenience.

What is F.A.S.T. aiCockpit?

Fovia Ai's F.A.S.T. aiCockpit functions as an advanced AI viewer that improves the ease of navigation, visualization, and interaction with results generated by AI from different vendors and algorithms, all through a streamlined user experience that reduces the number of clicks required. This platform allows for the comprehensive visualization and engagement with algorithmic outcomes, presented in a single, intuitive interface that greatly benefits the workflow of radiologists and clinical specialists. By offering physician-validated insights to AI orchestrators, PACS, and reporting systems, it meets the latest interoperability standards in the industry. The system supports a variety of AI formats, including DICOM Structured Reports, DICOM Key Images, DICOM GSPS, and DICOM segmentation objects. Additionally, F.A.S.T. aiCockpit features a cloud-compatible architecture, which provides the ability to access AI-assisted radiology results from any location at any time using any web-enabled browser. With a single, simple integration, users can effortlessly enhance their AI capabilities without toggling between different viewers, thereby further optimizing their overall workflow. This forward-thinking solution not only boosts efficiency but also equips healthcare professionals to make quicker, more informed decisions, ultimately leading to improved patient care and outcomes. As a result, the integration of such advanced technology into medical practices signifies a transformative step for the future of healthcare.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$300
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

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
Online Training
On-Site Training

Company Facts

Organization Name

MiniPACS

Date Founded

2026

Company Location

United States

Company Website

minipacs.net

Company Facts

Organization Name

Fovia Ai

Date Founded

2003

Company Location

United States

Company Website

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

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

Radiology

Audit Trail
Billing & Invoicing
Claims Management
EDI
EMR HL7 Bridge
Image Fusion
PACS Integration
Patient Scheduling
Scanning Input
Teleradiology
Wait List Management

Categories and Features

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