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.

Lake Medical Imaging Selects INFINITT for Multi-Site RIS/PACS, Mammography PACS and Disaster Recovery

INFINITT North America, an award-winning developer of Enterprise Imaging solutions for radiology, cardiology, mammography and advINFINITT North America, award-winning developer of enterprise imaging solutions for radiology, cardiology, mammography, pathology and advanced visualization, will be implementing INFINITT RIS/PACS and INFINITT Mammo PACS at six Lake Medical Imaging facilities in The Villages and Leesburg, Florida.

Lake Medical Imaging Selects INFINITT for Multi-Site RIS/PACS, Mammography PACS and Disaster Recovery

CAD tool detects microcalcification clusters in mammograms

A fully automated algorithm can accurately detect microcalcification clusters in mammogram scans and may help reduce radiology workloads.

Hybrid workflow saves radiologists time, costs in imaging-related clinical trials

“For radiologists, who generally perform routine activities, involvement in clinical trials increases their workload and raises human resources issues at hospitals which are already running chronic medical deficits,” wrote authors of a new study published in the European Journal of Radiology.

Why the impact of CDS on patient care remains unclear

Researchers continue to test the effectiveness of CDS, but according to a new commentary published in the American Journal of Roentgenology (AJR), it remains largely unknown how these systems will truly impact patient care.

CDS improves imaging order appropriateness, study shows

Clinical decision support (CDS) tools can improve the appropriateness scores of advanced imaging orders when used in clinical practice, according to a single-center analysis published in the American Journal of Roentgenology.

CDS makes ‘modest, but significant’ impact on imaging order appropriateness

Clinical decision support (CDS) tools can improve the appropriateness of advanced imaging orders, according to new findings published in the American Journal of Roentgenology.

Informatics experts share 4 key use cases for AI in radiology

For radiology to truly benefit from AI’s potential, the specialty must learn how to get the most information possible out of all available digital data.

Enterprise Imaging

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

GE HealthCare recalls legacy cardiology information systems due to security risk

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

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

AI detects twice as many incidental lesions as radiologists