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.

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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. 

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Rad Partners details how it is ‘revolutionizing’ radiology reports

The El Segundo, California-based practice’s Clinical Value Team surveyed nearly 600 physicians, gathering feedback on what they desire in imaging results. 

Sanjog Misra

RadNet bolsters C-suite, hiring 2 executives from Philips to fuel growth initiatives

The Los Angeles-based imaging center operator believes its expanding management team is "indicative of strong momentum" within RadNet's business lines. 

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.

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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.

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70-year-old radiology practice suffers cyberattack

Cheyenne Radiology Group said the incident may have resulted in the inadvertent exposure of patients’ personal information. 

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AI boosts value of CT lung cancer screening by helping predict death from other diseases

Experts see great promise for improving population health outcomes with such opportunistic screening via low-dose CT, according to a study published in Radiology. 

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Evidence supporting use of radiomics is 'insufficient' and 'weak,' according to new meta-analysis

Although the predictive power of radiomics has been touted as a tool that could improve patient outcomes, the method has a long way to go before it can be reliably introduced into real-world clinical environments.

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