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.

David Gruen radiologist and Merative Merge CMO speaking on radiology IT trends at HIMSS 2023. #HIMSS #HIMSS2023 #HIMSS23

Key radiology IT trends at HIMSS 2023

Radiologist David Gruen, MD, discusses some of the overarching themes from the Healthcare Information Management Systems Society's annual meeting.

April 25, 2023
Prostate Blue Ribbon

AI-based prostate cancer management technology makes official debut in clinical settings

The recently FDA-cleared program merges patient-specific information from prostate imaging, biopsies and pathology, resulting in a deep learning algorithm that creates an AI-generated 3D map of cancer.

April 25, 2023
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ChatGPT to be utilized in new medical imaging app for patients

AI chatbot ChatGPT is making its official debut in medical imaging by way of a new app that can be utilized by anyone with a smartphone. 

April 24, 2023

Large study reiterates the necessity of 'prudent use' of CT scans in children

Those who undergo repeated exams before the age of 6 face almost double the risk of later developing intracranial tumors, leukemia or lymphoma, according to new data.

April 24, 2023

Sectra to implement enterprise imaging SaaS in the cloud with Parkview Health in the US

International medical imaging IT and cybersecurity company Sectra (STO: SECT B) will implement its enterprise imaging cloud subscription service, Sectra One Cloud, at Parkview Health in the US. This will allow the Indiana-based health system future scalability as imaging volumes grow and will ensure data security in a fully managed cloud environment.

April 21, 2023
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'Fictitious references' and 'significant inaccuracies' could hinder ChatGPT's medical writing career

Despite being widely praised by many of its users, ChatGPT recently left much to be desired by experts who compared the chatbot’s medical writing alongside that of seasoned professionals.

April 20, 2023
Tablet projecting metaphorical medical hologram

AI model identifies radiologist-recommended follow-up imaging in reports, has potential for widespread use

New data published in the American Journal of Roentgenology details the performance of a deep learning model known as BERT, short for Bidirectional Encoder Representations from Transformers.

April 19, 2023
Growing Tree

Decreasing energy consumption in radiology: How one hospital reduced use and saved big

Energy consumption reduction tactics could decrease greenhouse gas emissions owed to radiology while also saving departments tens of thousands of dollars every year. 

April 18, 2023

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. 

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