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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Radiology uses telemedicine more than any other specialty, AMA survey finds

Radiology has the highest use of telemedicine for patient interactions than any other medical specialty, according to results from a nationally representative survey published in the December issue of Health Affairs by the American Medical Association (AMA).

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Can using radiomics during screening mammography improve breast cancer diagnosis?

By using radiomics, Chinese researchers found that the diagnostic performance of mammography could improve and offer complementary information to radiologists regarding benign and malignant breast tumors, as reported in the Journal of the American College of Radiology on Dec. 5.

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Should the language used in radiology reports be standardized?

As radiologists continue to emphasize demonstrating their value to patient care, there has been a push to standardize the language used in radiology reports. According to a new commentary published in Academic Radiology, however, those in favor of such a shift could end up regretting it.

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RSNA 2018: 4 ways radiology departments are preparing for big data

Artificial intelligence (AI) and big data can help radiologists provide better care while reducing costs, but a majority of institutions lack the infrastructure to optimally consume and utilize these technologies, said Paul Chang, MD, of the University of Chicago, during RSNA's 2018 Annual Meeting.

CDS-generated report cards help reduce imaging orders for lower back pain

Using clinical decision support (CDS) to send primary care providers (PCPs) personalized report cards evaluating their ordering decisions can reduce outpatient lumbar spine (LS) MRI orders for lower back pain (LBP), according to a new study published in the American Journal of Roentgenology.

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Radiologists inconsistent with how they convey diagnostic certainty

Diagnostic certainty phrases (DCPs) are common in radiology reports, helping the radiologist convey certainty in an imaging finding or its clinical significance. According to a new study published in Academic Radiology, however, radiologists use a wide variety of DCPs, and reducing this variation could improve the overall quality of radiology reports.

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Amazon releases AI language processing service for patient records, radiology reports

Tech company Amazon has launched a new medical language processing service that, by using artificial intelligence (AI), can extract data from patient records and reports to help healthcare professionals make better treatment decisions, address data privacy and decrease overall costs, according to a report published Nov. 28 by TechCrunch.

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What radiologists should know about point-of-care photographs

Point-of-care photographs obtained at the same time as medical imaging studies can be helpful for radiology providers. According to a new perspective piece published in the American Journal of Roentgenology, however, specialists should still make sure they do their homework before using such photographs in their practice.