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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 PACS Radiology?

Although numerous contemporary radiology machines come with their own Picture Archival and Communication System (PACS), there are several persuasive reasons to opt for our PACS instead. Our PACS provides advanced tools for managing DICOM images, leading to a more effective workflow overall. Moreover, it integrates effortlessly with the RIS of our Electra HMIS product, thereby avoiding any possible compatibility challenges with other PACS systems. This integration facilitates the storage of radiology images in conjunction with the patient’s Electronic Medical Record (EMR) information, ensuring that accurate records are maintained concerning the date, time, and medical circumstances related to the diagnostic imaging performed. Furthermore, our PACS streamlines the process for accessing and manipulating both radiology images and their corresponding reports, which significantly boosts productivity and enhances patient care. By adopting our PACS, healthcare providers can create a more efficient experience that contributes to better diagnostics and improved patient outcomes. In an ever-evolving medical landscape, leveraging such technology is crucial for maintaining high standards of care.

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

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

ACG Infotech

Date Founded

1993

Company Location

India

Company Website

www.acgil.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

Radiology

Not specified

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