Health IT

Healthcare information (HIT) systems are designed to connect all the elements together for patient data, reports, medical imaging, billing, electronic medical record (EMR), hospital information system (HIS), PACS, cardiology information systems (CVIS)enterprise image systemsartificial intelligence (AI) applications, analytics, patient monitors, remote monitoring systems, inventory management, the hospital internet of things (IOT), cloud or onsite archive/storage, and cybersecurity.

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Screening kids for spine injury risk factors may cut CTs by 50%

New research suggests screening kids for cervical spine injury (CSI) risk factors could reduce unnecessary CT scans by 50%, significantly limiting radiation exposure.

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In search of harmony: 5 steps to improved radiology report consistency

Structured, easy-to-read radiology reports provide significant value, but getting radiologists on the same page is often easier said than done.

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Parents of young patients want imaging results right away

Most parents of pediatric patients undergoing imaging examinations want those results as quickly as possible, even if it means not discussing them in person with a physician, according to new findings published in Academic Radiology.

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How a large healthcare system reduced variation in radiology reports

“Substantial differences in report structure, content, length, and degree of detail provided by different radiologists can be a source of confusion and frustration for referrers and patients," wrote authors of a new study published in the American Journal of Roentgenology.

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Survey examines parent communication preferences in pediatric radiology

Parents of pediatric radiology patients value speed over all other aspects of radiology results reporting, according to findings from a new survey published Aug. 14 in Academic Radiology.

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Do ‘all-in-one’ windows impact radiologist performance?

Reviewing chest CT examinations with an “all-in-one” (AIO) window does not have a negative impact on radiologist performance, according to new findings published in Diagnostic and Interventional Imaging.

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AI offers organ-level classification of free-text pathology reports

Machine learning algorithms can classify free-text pathology reports at the organ level and are easily interpreted by human readers, according to an Aug. 7 study published in Radiology: Artificial Intelligence.

 

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RSNA, ACR to launch clinical data registry for 3D printing in radiology

RSNA and the American College of Radiology (ACR) are launching a new clinical data registry to collect 3D printing data used in radiology.