Imaging Informatics

Imaging informatics (also known as radiology informatics, a component of wider medical or healthcare informatics) includes systems to transfer images and radiology data between radiologists, referring physicians, patients and the entire enterprise. This includes picture archiving and communication systems (PACS), wider enterprise image systems, radiology information. systems (RIS), connections to share data with the electronic medical record (EMR), and software to enable advanced visualization, reporting, artificial intelligence (AI) applications, analytics, exam ordering, clinical decision support, dictation, and remote image sharing and viewing systems.

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Big news for radiologists: Providers taught how to place more effective imaging orders

Physicians frequently leave out key information when ordering imaging examinations, an oversight that can make it harder for the radiologist to do their job. A team of researchers worked to reverse that trend, sharing its findings in a new study published in the American Journal of Roentgenology.

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Why the impact of CDS on patient care remains unclear

Researchers continue to test the effectiveness of CDS, but according to a new commentary published in the American Journal of Roentgenology (AJR), it remains largely unknown how these systems will truly impact patient care.

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CDS makes ‘modest, but significant’ impact on imaging order appropriateness

Clinical decision support (CDS) tools can improve the appropriateness of advanced imaging orders, according to new findings published in the American Journal of Roentgenology

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Informatics experts share 4 key use cases for AI in radiology

For radiology to truly benefit from AI’s potential, the specialty must learn how to get the most information possible out of all available digital data.

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How a hospital improved communication between radiologists, referring physicians

Diagrams and an easy-to-use website can help improve communication between referring physicians and radiologists, according to a new study published in Current Problems in Diagnostic Radiology.

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Anywhere, anytime: 5 key findings from a new survey on teleradiology

Telemedicine makes more and more of an impact on healthcare in the United States with each passing year, and teleradiology is certainly an important part of that trend. 

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NLP shows ability to extract measurements, core descriptors from radiology reports

Natural language processing (NLP) has shown potential to extract measurements and their primary descriptors from radiology reports and provide them in a structured format, according to findings published in the Journal of Digital Imaging.

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How Secure Is That Scanner?

In a world of networked medical devices, it’s not hard to imagine a radiology-heavy cyberattack that is not only malicious but also ingenious.