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What is RadioView.AI?

RadioView.AI is a cloud-based solution designed for enterprise imaging that enhances the capabilities of PACS. The platform offers a web-based, multi-site PACS that radiologists can access via mobile applications on both iOS and Android devices, enabling them to collaborate on cases across various locations and improving access to medical imaging while minimizing the reliance on printed studies. Additionally, it optimizes workflows for residents and attending physicians who participate in co-reading sessions. With the introduction of RadioViewAI's Automated Radiology Report Generation, the process of creating radiology reports is transformed, as critical data is seamlessly converted into detailed reports without the need for traditional transcription methods. This cutting-edge AI technology boosts efficiency, allowing radiologists to decrease their speaking time by up to 80%, thereby redirecting their focus from typing to analyzing images. The platform not only enhances revenue by 50% but also automates billing processes through the use of ICD-10 and CPT codes. Furthermore, RadioViewAI ARRG includes user-friendly patient summaries that are presented in clear, straightforward language, ensuring better understanding for patients. This comprehensive solution marks a significant advancement in the field of radiology, making it more efficient and accessible for both healthcare providers and patients alike.

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.

Media

Media

No images available

Integrations Supported

Athena
eClinicalWorks

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Not specified

Company Facts

Organization Name

NeuroCare.AI

Date Founded

2018

Company Location

United States

Company Website

radioview.ai/

Company Facts

Organization Name

ORVIA DX LLC

Company Location

United States

Company Website

orviadx.com

Categories and Features

PACS

Diagnostic Reporting
Image Management
Mobile Access
Non-DICOM Imaging Support
Referring Physician Portal
Voice Recognition

Radiology

Billing & Invoicing
PACS Integration
Teleradiology

Categories and Features

Medical Imaging

Not specified

PACS

Not specified

Radiology

Not specified

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