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.

interventional radiology enterprise imaging structured reporting

Interventional radiologists still getting acquainted with SIR registry, reporting templates

The Society of Interventional Radiology launched its Virtex registry in 2020 with an eye on showcasing the profession's value. 

September 6, 2023

Self-scheduled mammograms gaining popularity with younger patients

Patients under the age of 50 are opting for the ease and convenience of scheduling their own appointments, and the results may not be limited to mammography.

September 6, 2023
radiology structured reporting data mining

Data mining of structured radiology reports yields advantageous insights

Datapoints contained in structured radiology reports can be readily mined to guide decisions around long-term clinical, business and population-health aims. 

September 1, 2023
artificial intelligence robot evaluates healthcare data. Novo Nordisk announced a new collaboration with Valo Health, a healthcare technology company focused on using artificial intelligence (AI) technology to identify new drug treatments for cardiovascular disease (CVD).

Rad AI announces new artificial intelligence-powered software for radiology reports

After previewing the new software in September, Rad AI will make it commercially available throughout the United States at RSNA 2023 in Chicago.

August 23, 2023

Sectra signs enterprise imaging contract with one of the larger multi-region healthcare systems in the US

Sectra will, as the sole imaging IT provider, oversee and deliver the end-to-end infrastructure through a turnkey, fully managed SaaS agreement.

August 16, 2023
Artificial intelligence (AI) has been one of the biggest stories in healthcare for years, but many clinicians still remain unsure about how, exactly, they should be using AI to help their patients. A new analysis in European Heart Journal explored that exact issue, providing cardiology professionals with a step-by-step breakdown of how to get the most out of this potentially game-changing technology.

New scoring systems help grade the accuracy of AI-generated radiology reports

Health systems need to trust that artificial intelligence-based reports are accurate and complete. 

August 4, 2023
Cloud imaging

Big Tech player dives deep into medical imaging with ‘purpose-built’ service

The world’s most popular supplier of cloud services has become a dedicated radiology vendor.

July 31, 2023
artificial intelligence cybersecurity cybercrime patient data privacy

Imaging AI adds value to patient data but also puts it at heightened risk

Healthcare AI continues its march into clinical departments as well as imaging activities. In the process, it’s only multiplying break-and-entry points seductive to cybercriminals.

July 28, 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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