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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 ImageGrid PACS?

ImageGrid PACS is an affordable and all-encompassing picture archiving and communication system that streamlines the storage, management, and visualization of multi-modality images while also improving workflow efficiency in various healthcare environments. With over 4,000 successful installations, it offers flexible DICOM storage options ranging from 1 TB to hundreds of terabytes, utilizing a RAID architecture that supports easy scalability to meet growing organizational needs. The system features self-monitoring capabilities and automated notifications via SMTP or ASTRA to maintain continuous operational performance, complemented by an intuitive web-based admin interface that simplifies setup and management. Among its diverse image management functionalities are features for merging, splitting, and linking patient files, alongside rule-based automated retrieval of historical images, quality control processes, anonymization options, and support for encapsulating non-DICOM formats like PDFs, JPEGs, and TIFFs. The cutting-edge Dynamic Tag Morphing engine enables policy-driven modifications to DICOM headers, ensuring reliable access to previous images across various studies. This combination of adaptability, efficiency, and comprehensive functionality positions ImageGrid PACS as an essential tool for healthcare facilities aiming to enhance their imaging workflows and patient care outcomes. Ultimately, by investing in such a system, healthcare providers can significantly improve their operational capabilities and patient management.

Media

No images available

Media

Integrations Supported

Integrations Supported

HL7 FHIR
MODALIZER+

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

Standard Support
24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

ORVIA DX LLC

Company Location

United States

Company Website

orviadx.com

Company Facts

Organization Name

Candelis

Company Location

United States

Company Website

www.candelis.com/products/imagegrid-pacs/overview

Categories and Features

Medical Imaging

Not specified

PACS

Not specified

Radiology

Not specified

Categories and Features

PACS

Not specified

Radiology

Not specified

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