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.

Lunit AI chest X-rays

Collaboration brings triage AI to chest X-rays for prompt emergency care

The three year collaboration implements Lunit AI into Samsung X-ray devices.

January 29, 2024
Amy Thompson, Signify Research, explains key observations in the teleradiology market at RSNA 2023, including the in creasing use of cloud and AI.

Cloud and AI are key to teleradiology success in post-COVID resurgence, expert says

Increasing use of cloud and AI are among the trends observed by Amy Thompson, research manager for healthcare IT at the healthcare market analysis firm Signify Research, at RSNA 2023.

January 24, 2024
Cloud storage

Rad AI leverages Google Cloud for radiology report customization

The partnership aims to unlock the power of artificial intelligence to better meet radiologists' preferences.

January 19, 2024
learning classroom student training

RSNA-sponsored imaging informatics course returns for 2024

The National Imaging Informatics Course is designed for fourth-year radiology residents, but is also relevant to any mid- or senior-level professional working with image data.

January 18, 2024
Cloud

Ultrasound interpretation AI integrated into cloud-based PACS

A partnership between two developers aims to reduce ultrasound reading time.

January 12, 2024
Busy

Cancer center reduces urgent requests for CT reports by 60%

Memorial Sloan Kettering Cancer Center improved efficiency by adopting an automatic assignment system.

January 12, 2024
Video interview with Merge healthcare's General Manager of Imaging Ashish Sant on key trends in radiology IT and AI workflow orchestration at RSNA 2023. #RSNA #HealthIT #enterpriseimaging #PACS HealthAI

Radiology staffing shortages increasing demand for AI and cloud

Ashish Sant, general manager for Imaging at Merge explains how imaging informatics can help mitigate the radiology staffing shortage.

January 12, 2024
Video of Isaac Zaworski, president of Sectra U.S.A. Inc, discussing trends in radiology informatics system at RSNA 2023. #enterpriseimaging #RSNA #Sectra #RSNA23 #RSNA2023 #HealthIT #cloudstorage #SaaS #radiology

Trends in radiology enterprise imaging systems

Isaac Zaworski, president of Sectra U.S.A., believes AI can help radiology providers overcome some of the biggest challenges plaguing the specialty. 

January 9, 2024

Around the web

Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.

Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans. 

"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday. 

Trimed Popup
Trimed Popup