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.

'RadGPT' system improves radiology report readability and is ready for 'immediate' use
A specialized large language model developed specifically for radiology could be key to helping patients better understand their imaging results.
GE HealthCare recalls legacy cardiology information systems due to security risk
GE HealthCare has warned that the devices could potentially be accessed and manipulated by an outside party. The FDA has classified this as a Class II recall.
New AI-powered platform offers 24/7 access to radiologists, on-demand pay
The platform was designed to address some of the “brutal challenges” radiologists have faced over the past couple of decades.
Release the 'Krakencoder': New algorithm gives scientists unprecedented insight into neural function
Researchers are hopeful that a new technology named after a tentacled folklore sea monster can help scientists better understand the anatomy of the brain.
AI detects twice as many incidental lesions as radiologists
Prior research has suggested that these incidental lesions turn out to be cancerous in up to 70% of cases, making their timely detection critical.

artificial intelligence AI in healthcare

'RadGPT' system improves radiology report readability and is ready for 'immediate' use

A specialized large language model developed specifically for radiology could be key to helping patients better understand their imaging results.

GE HealthCare recalls legacy cardiology information systems due to security risk

GE HealthCare has warned that the devices could potentially be accessed and manipulated by an outside party. The FDA has classified this as a Class II recall.

New AI-powered platform offers 24/7 access to radiologists, on-demand pay

The platform was designed to address some of the “brutal challenges” radiologists have faced over the past couple of decades.

Krakencoder algorithm offers detailed insight into brain function

Release the 'Krakencoder': New algorithm gives scientists unprecedented insight into neural function

Researchers are hopeful that a new technology named after a tentacled folklore sea monster can help scientists better understand the anatomy of the brain.

AI detects incidental breast lesions on routine CT scans

AI detects twice as many incidental lesions as radiologists

Prior research has suggested that these incidental lesions turn out to be cancerous in up to 70% of cases, making their timely detection critical.

Siemens Healthineers deploys its first mobile stroke unit in the US

The new device marks a “significant step forward” in American stroke care, the company contends.

Enterprise-wide Advanced Visualization: Maximizing Clinical & Business Benefits

New teleradiology solution promises to streamline enterprise imaging operations

Konica Minolta and NewVue announced their collaboration on cloud-based Exa Teleradiology earlier this week.

HHS penalizes imaging provider for allegedly violating patient privacy laws

San Jose, California-based Vision Upright MRI allegedly failed to properly assess potential cybersecurity threats and did not notify patients in a timely fashion.