Enterprise Imaging

Enterprise imaging brings together all imaging exams, patient data and reports from across a healthcare system into one location to aid efficiency and economy of scale for data storage. This enables immediate access to images and reports any clinical user of the electronic medical record (EMR) across a healthcare system, regardless of location. Enterprise imaging (EI) systems replace the former system of using a variety of disparate, siloed picture archiving and communication systems (PACS), radiology information systems (RIS), and a variety of separate, dedicated workstations and logins to view or post-process different imaging modalities. Often these siloed systems cannot interoperate and cannot easily be connected. Web-based EI systems are becoming the standard across most healthcare systems to incorporate not only radiology, but also cardiology (CVIS), pathology and dozens of other departments to centralize all patient data into one cloud-based data storage and data management system.

FDA clears new cloud-enabled Philips cardiovascular IT system
The cloud-enabled system provides the foundation for future AI-enabled tools, better workflows and analytics.
Hospital alerts dozens after failure to relay imaging results turns deadly
Health officials launched a review of over 21,000 imaging exams after determining that numerous patients had pertinent findings fly under the radar for months.
PocketHealth's latest agentic AI offering improves patient compliance, reduces administrative costs
Conductor is a platform of AI-enabled agents that can read clinical documents and orders, call patients and orchestrate appointments.
Rad Partners commercializes teleradiology platform pioneered by acquired company vRad
The product is a fully integrated, artificial intelligence-enabled technology tool, providing real-time analytics to interested outside radiology groups.
FDA grants De Novo marketing authorization for at-home prenatal ultrasound
Women's health experts are calling the approval a "long-awaited leap forward" for obstetrical care.

The U.S. Food and Drug Adminstration (FDA) granted 510(k) clearance for the latest release of Philips Healthcare's Cardiovascular Workspace imaging and information management system. It enables cloud-hosted availability and software-as-a-Service (SaaS) deployment.

FDA clears new cloud-enabled Philips cardiovascular IT system

The cloud-enabled system provides the foundation for future AI-enabled tools, better workflows and analytics.

warning safety alert recall healthcare issue

Hospital alerts dozens after failure to relay imaging results turns deadly

Health officials launched a review of over 21,000 imaging exams after determining that numerous patients had pertinent findings fly under the radar for months.

radiology reporting EHR health record CDS AUC

PocketHealth's latest agentic AI offering improves patient compliance, reduces administrative costs

Conductor is a platform of AI-enabled agents that can read clinical documents and orders, call patients and orchestrate appointments.

Rad Partners commercializes teleradiology platform pioneered by acquired company vRad

The product is a fully integrated, artificial intelligence-enabled technology tool, providing real-time analytics to interested outside radiology groups.

FDA grants De Novo marketing authorization for at-home prenatal ultrasound

Women's health experts are calling the approval a "long-awaited leap forward" for obstetrical care.

FDA clears new cloud-native advanced imaging suite

The product will become available to certain users as early as next week, according to a news release on its recent approval.

Over half of emergency CT requests are considered 'inadequate'

Up to 72% of CT requisitions from ED providers could be considered inadequate according to RI-RADS, which was developed to evaluate the clinical reasoning quality of imaging orders.

data standardization Enlitic enterprise imaging

Radiology experts advocate against purging decade-old imaging data

Researchers with the University of Virginia recently aimed to answer this question, sharing their findings in the Journal of Imaging Informatics in Medicine.