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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Top radiology groups team up for ‘massive’ COVID-19 imaging database

The ACR, RSNA and AAPM are all participating in the project, with funding coming from an agreement between the National Institutes of Health and University of Chicago, the groups announced recently.

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Intelerad acquires private cloud provider Radius

The move builds upon the Montreal tech company’s cloud-based imaging strategy and allows Intelerad to provide a flexible approach to managed services and a hybrid cloud solution to providers.

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ACR will coordinate imaging for upcoming COVID study

The multicenter COVID-19 Observational Study, or CORAL, will take an epidemiological approach to investigating the novel virus, the ACR announced Monday.

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Automated CO-RADS algorithm spots COVID-19 patients, may relieve overworked radiologists

Experts from the Netherlands first introduced their COVID-19 Reporting and Data System back in April.

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Radiology practice launches investigation, warns patients after data breach

Mid-Delaware Imaging said it first became aware of the incident earlier this year, with leaders recently notifying the FBI.

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‘A huge game changer’: Penn uses machine learning, radiomics to share brain imaging data privately

“Federated learning,” as it’s called, works by training an algorithm across multiple data servers, without exchanging any images, experts detailed in Scientific Reports. 

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Adding physicians’ phone numbers to radiology reports bolsters patient contact, job satisfaction

That’s according to the results of a recent survey conducted at one private Colorado imaging practice, highlighted in the American Journal of Roentgenology. 

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Cloud-based imaging spinoff inHeart raises $4.2M for AI-based heart arrhythmia solution

It’s cloud software turns preoperative medical images into a 3D “digital twin” of the patient’s heart enabling providers to plan procedures and navigate instruments during surgery.