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What is Glassbeam?

Glassbeam operates as a cloud-driven analytics platform tailored for providers, OEMs, and ISOs within the healthcare sector, focusing on delivering business intelligence that enhances the uptime, utilization, and lifecycle management of connected medical devices like MR, CT, and X-ray machines. By harnessing the power of machine learning, Glassbeam's comprehensive solutions provide vendor-neutral and multi-modality predictive and prescriptive insights, empowering both executives and operational staff to effectively monitor key performance indicators (KPIs) and refine enterprise operations. The platform's Service Analytics feature offers valuable insights into device functionality, highlights reported issues, detects anomalies in performance metrics, and anticipates potential part failures, thereby promoting increased machine uptime. Designed as an AI-enhanced solution, Service Analytics employs advanced data analytics to boost the operational efficiency of high-end imaging technologies. In addition, Glassbeam's Utilization Analytics deepens understanding of Imaging department operations by integrating various data sources such as logs, DICOM, HL7, RIS, EMR, and billing and scheduling information. This robust solution fosters enhanced data visibility and analytical capabilities, enabling Imaging teams to streamline workflows, elevate performance, and make data-driven decisions with greater accuracy and confidence. Overall, Glassbeam stands out as a vital partner in the healthcare landscape, helping organizations achieve optimal operational outcomes and improved patient care.

What is Evorad?

Evorad presents a comprehensive enterprise imaging solution that seamlessly merges the management, viewing, reporting, collaboration, and patient accessibility of medical images into a single, secure, and scalable environment, effectively integrating PACS (Picture Archiving and Communication System) with zero-footprint diagnostic viewing, characterized by rapid load times, structured reporting, collaborative functionalities, and customizable AI-driven workflows that empower radiology teams to deliver faster and more accurate diagnoses. The platform complies with industry standards including DICOM, DICOMweb, and HL7, ensuring excellent interoperability with existing EHR/RIS/HIS systems, while providing a vendor-neutral archive that assures data portability, regulatory compliance, and secure long-term storage options. Evorad's versatile implementation capabilities support cloud, hybrid, or on-premise configurations, featuring tiered storage solutions and strong uptime management for optimal performance. Furthermore, Evorad incorporates advanced functionalities such as browser-based 3D visualization, intelligent worklists, automated queue balancing, and effective tools for aligning study metadata, facilitating easy access to prior images when necessary. Ultimately, Evorad is designed to significantly improve the workflow of medical imaging professionals by delivering an all-encompassing and intuitive platform that meets their diverse needs. This dedication to innovation ultimately aims to transform the landscape of medical imaging in a meaningful way.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Pricing Information

Contact for Pricing

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Glassbeam

Date Founded

2009

Company Location

United States

Company Website

www.glassbeam.com

Company Facts

Organization Name

IKnowHealth

Date Founded

2023

Company Location

Greece

Company Website

www.evorad.com

Categories and Features

Healthcare Analytics

Not specified

Categories and Features

Medical Imaging

Not specified

PACS

Not specified

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