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What is ORVIA?

ORVIA is a holistic healthcare solution specifically designed for radiology clinics and diagnostic imaging centers. This cutting-edge platform seamlessly merges radiology information system (RIS) features with scheduling capabilities and a cloud-based picture archiving and communication system (PACS), which includes a DICOM viewer. It significantly improves the management of imaging workflows, optimizes AI-assisted report preparation, and supports teleradiology processes that engage certified radiologists. After reviewing the images, radiologists are responsible for finalizing and signing off on medical reports. Furthermore, the platform incorporates patient communication tools that leverage WhatsApp and email for automated message distribution. These combined features are intended to assist imaging providers in organizing patient appointments, handling and accessing studies, drafting reports, and sustaining communication with patients throughout an integrated radiology workflow. The comprehensive process encompasses everything from setting up appointments to the careful evaluation of images and the generation of finalized reports, ensuring both efficiency and transparency at each step. Importantly, the AI-generated content serves as an initial draft for radiologists' review, thereby promoting accuracy and trustworthiness prior to finalization, which enhances the overall reliability of the reporting process. This innovation not only streamlines operations but also fosters a more collaborative environment between healthcare providers and patients.

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

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

ORVIA DX LLC

Company Location

United States

Company Website

orviadx.com

Company Facts

Organization Name

Fovia Ai

Date Founded

2003

Company Location

United States

Company Website

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

Categories and Features

Medical Imaging

Not specified

PACS

Not specified

Radiology

Not specified

Categories and Features

Healthcare AI

Not specified

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