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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Can a CDS tool help inexperienced physicians reduce imaging waste?

Implementing a clinical decision support (CDS) tool increased the overall appropriateness scores of CT and MRI orders, but showed no major difference between the habits of house staff and non-house staff.

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How CDS impacts imaging ordering habits of less experienced physicians

Numerous studies have shown that clinical decision support (CDS) can help reduce unnecessary imaging. According to a new study in the American Journal of Roentgenology, however, not enough research has focused on how CDS tools impact less experienced providers such as house staff physicians.

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Check the PACS, radiology isn’t fully prepared for AI

There is an "immaturity" between machines and humans, said Paul J. Chang, MD, of the University of Chicago. Unless radiology departments augment their current IT infrastructure, AI could become another technological-driver of burnout.

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New free tool may make radiomics calculations broadly accessible

Researchers in Europe have developed an open-source, ready-to-use radiomics calculator based on a burgeoning international standard for radiologists looking to quantify tumor characteristics on CT at the level of molecular biomarkers.   

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Forget Your Gut Feeling. What Does Your Deep Data Tell You?

RBJ asked for—and received—in-depth answers to six high-level questions about data analytics. What all these Q&A sets have in common is the supplying of a fresh insight or two (or three) into tapping data for its power to prove value and bolster the bottom line.

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Researchers call for a closer look at speech recognition in radiology and beyond

Speech recognition has become a staple software category in radiology over the past three decades, and other medical specialties have adopted it as well. Yet efforts to assess the toolset’s applications and adaptations have been frustrated by the lack of a unified set of metrics.

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Undersized brain regions found in 50-something smokers who drink alcohol

Middle-aged smokers have smaller gray-matter volumes than their non-smoking peers, and the falloff is especially pronounced in the brains of smokers who also drink alcohol.

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DITTA white paper provides cybersecurity recommendations for medical technology manufacturers

The Global Diagnostic Imaging Healthcare IT & Radiation Therapy Trade Association (DITTA) has published a new white paper on cybersecurity, providing medical technology manufacturers with a list of recommended best practices.