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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 MiNNOVAA?

MiNNOVAA is a company focused on advancing medical information technology, particularly in medical imaging software and the sharing of medical images. Emphasizing "medical imaging innovation," we distinguish ourselves through agility and cutting-edge technology in the development of our solutions. Our primary focus areas include creating medical image viewers, optimizing radiology workflows, and integrating artificial intelligence into diagnostic reporting. Our dynamic team consists of approximately 20 talented programmers and product managers, along with experts in marketing, sales, technical support, call center operations, and administration, all committed to initiating significant changes in medical imaging and improving healthcare experiences for individuals. We provide a holistic clinical imaging IT solution specifically designed for mid-sized hospitals and imaging clinics, offering a comprehensive suite of features such as core PACS software on-premise, a DICOM web viewer, multi-platform imaging workstation software, seamless integration with EHR/EMR/HIS systems, and a robust workflow engine/RIS. Our dedication to innovation and all-encompassing solutions ultimately seeks to transform the approach and application of medical imaging within healthcare environments. By continuously evolving our offerings, we aim to not only meet current needs but also anticipate future advancements in healthcare technology.

Media

Media

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

Supported Platforms

SaaS
Android
iPhone

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

NeuroCare.AI

Date Founded

2018

Company Location

United States

Company Website

radioview.ai/

Company Facts

Organization Name

MiNNOVAA

Date Founded

2022

Company Location

Estonia

Company Website

minnovaa.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

DICOM Viewers

Not specified

Medical Imaging

Not specified

PACS

Not specified

Radiology

Not specified

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