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What is Mach7?

Mach7 provides an enterprise imaging platform that is vendor-agnostic, unifying imaging from various departments into a single archive that integrates seamlessly with the existing systems used by clinicians. The platform supports DICOM and HL7-compliant systems, including current PACS, which allows organizations to improve their imaging capabilities without needing a complete system replacement. Mach7 is made up of three distinct components that can be utilized either separately or in tandem: eUnity, a zero-footprint browser-based viewer that consolidates all studies without the requirement for installations or local storage; VNA, a vendor-neutral archive that harmonizes both DICOM and non-DICOM imaging into a standardized, open storage solution; and Flamingo, which streamlines the routing of studies across various sites while correcting any mismatched DICOM tags to ensure compatibility with subsequent systems. By storing imaging data in a standards-compliant and easily transferable format, organizations can manage their migration, integration, or transition processes more effectively, ultimately boosting operational efficiency. This adaptability promotes a more efficient imaging management system, ensuring that clinicians have prompt access to vital information that aids in patient care and decision-making. Consequently, Mach7's solutions empower healthcare providers to optimize their imaging workflows and improve patient outcomes.

What is DWV (DICOM Web Viewer)?

The DICOM Web Viewer, abbreviated as DWV, serves as a powerful, open-source platform designed for the visualization of DICOM images, crafted using JavaScript and HTML5, which functions flawlessly within modern web browsers without requiring additional plugins or installations. This tool allows users to interact with medical images in the DICOM format, utilizing popular web technologies and offering features such as window/level adjustments, zooming capabilities, panning, as well as measuring distances and angles, in addition to examining DICOM metadata. Furthermore, DWV is capable of managing different image layouts and handles both multi-frame and multi-series DICOM files effectively, ensuring a robust user experience. Users can easily annotate images using basic tools and load files directly from local storage or via URLs, greatly improving accessibility. The drag-and-drop functionality enhances file management, while the adaptable architecture permits developers to integrate the viewer into customized web solutions effortlessly. Continuously updated on GitHub, DWV emphasizes a responsive design to guarantee optimal usability across various devices, including desktops, tablets, and smartphones, making it a highly versatile tool for medical imaging professionals. In addition, the active community support and regular updates bolster the viewer's reliability and performance in managing medical image data efficiently. As such, DWV stands out as a crucial resource for healthcare providers in their imaging workflows.

Media

Media

Integrations Supported

Integrations Supported

GitHub
HTML
JavaScript
OsiriX

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Mach7

Date Founded

2007

Company Location

United States

Company Website

www.mach7t.com

Company Facts

Organization Name

DWV

Company Location

United States

Company Website

ivmartel.github.io/dwv/

Categories and Features

DICOM Viewers

Not specified

Medical Imaging

Not specified

Categories and Features

DICOM Viewers

Not specified

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