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Elsevier to showcase its diagnostic decision support solution, STATdx®, at the RSNA Annual Meeting -

Elsevier, the information analytics business specialising in science and health, will showcase its industry leading diagnostic decision support solution, STATdx®, at the Radiological Society of North America (RSNA) Annual Meeting, taking place at McCormick Place in Chicago, IL, November 25-30, 2018.

STATdx, written by renowned radiologists in each subspecialty and widely regarded as the 'gold standard' of radiology reference solutions, increases accuracy and confidence in diagnosing complex imaging cases and includes more than 4,000 common and complex diagnoses, 200,000 expert-selected and annotated image examples, 20,000 easily sortable patient cases with cine clips for select topics and much more.

Up to 20 percent of radiology reports result in a nonspecific, incorrect or delayed diagnosis. Results from a new study with practicing radiologists and radiology residents found that STATdx helps reduce diagnostic errors and is especially valuable when diagnosing rare or complex imaging cases. In fact, the radiologists who used STATdx had a 19 percent reduction in diagnostic error; and a 37 percent reduction for the most difficult case.

Now, STATdx users with an annual CME subscription can earn CME credit for searches performed in the last three years - an increase from the previous look back period of one year. Users can earn credits throughout the workday by using STATdx's expert differential lists to identify additional diseases to consider, investigate patient case examples and follow up on the latest journal articles. Elsevier will also offer special RSNA discounts on STATdx for individual and group subscriptions, which will be valid for two weeks after the show, including selected Elsevier books, such as the new editions of Caffey's Pediatric Diagnostic Imaging, Essentials of Nuclear Medicine and Molecular Imaging, Muller's Imaging of the Chest, and more.

Elsevier will showcase STATdx and its books at booth #1104.

Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.

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