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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How an Ohio system saved money, improved care with enterprise imaging

As the need to share information and images between various hospital departments began to emerge, so did vendor neutral archive (VNA) and enterprise-imaging (EI) management systems, wrote authors of a recent Journal of Digital Imaging study. However, not all institutions are prepared to implement these solutions.

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AI detects more variation in free-text radiology reports than structured reports

A natural language processing (NLP) and machine learning algorithm was trained to evaluate variability in both free-text radiology reports and structured radiology reports, according to new research published in Current Problems in Diagnostic Radiology. The variation was more prevalent in free-text reports.

Incomplete US radiology reports lead to confusion, unnecessary biopsies

Incomplete thyroid ultrasound (US) radiology reports cause "confusion and discrepancy" among specialists about the risk of malignancy and the necessity of biopsy, according to findings reported in the American Journal of Roentgenology.

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How should AI-based decision support systems be integrated into radiologist workflows?

Decision support (DS) systems based on artificial intelligence (AI) can improve the diagnostic performance of radiologists, but what’s the best way to integrate those DS systems into a reader’s workflow? Researchers tested two different reading methodologies, sharing their findings in the Journal of Digital Imaging.

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Is a sequential or independent decision-support AI workflow more effective?

A team of East Coast researchers found the effectiveness of artificial intelligence (AI)-based decision support (DS) systems depends on how they are presented in a radiologist’s clinical workflow.

Adoption of Carestream’s Vue Cloud Continues to Grow in United States

Carestream Health, a global leader in medical imaging systems and healthcare IT solutions, will install its CARESTREAM Clinical Collaboration Platform at Guadalupe Regional Medical Center in Seguin, Texas.

Intelerad Launches nuage Patient Portal Cloud-Based Solution

Empowering Patients with Anytime, Anywhere Access to their Healthcare Records

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Novel brain MRI research may revolutionize study of neurological, psychiatric disorders

Novel research led by Stephen Smith, PhD, from the Wellcome Center for Integrative Neuroimaging at the University of Oxford in the U.K.—whose team compared genetic data to 10,000 brain MRI scans from the U.K. Biobank project—gives insight into the genetic makeup of the human brain relevant to neurological and psychiatric disorders.