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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Absolute counts of imaging studies have doubled since 2004

A new study found that while the absolute number of imaging studies performed in 2016 was twice the number of studies performed in 2004, the increase is attributable to a doubling in the number of active patients.

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Are video radiology reports the wave of the future?

Video reports could play an important role in increasing radiologists’ roles in patient-centered care, experts have suggested. 

Imaging shows COVID vaccines effective at warding off pulmonary embolism

Researchers have found the condition significantly less among patients who received at least two doses of a COVID vaccine.

AI aids coma prognostics, potentially averting withdrawal of care

Deep learning has bested experienced neurosurgeons at predicting poor outcomes, including mortality, among patients admitted comatose with severe traumatic brain injuries.

The American Society of Nuclear Cardiology (ASNC) is asking Congress to repeal the appropriate use software provision mandate, which physicians say is an obstacle to efficient care.

VIDEO: Imaging societies ask Congress to repeal appropriate use decision support mandate

Randall Thompson, MD, immediate past president of the American Society of Nuclear Cardiology (ASNC), explains the current ASNC lobbying efforts.

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Radiology departments are adapting to offer inclusive environments for transgender individuals

Most radiological hardware and software systems now offer gender options beyond female/male classification, a recent analysis shows. 

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Explainable AI model accurately auto-labels chest X-rays from open access datasets

A model that can achieve accuracy in line with that of radiologists when labeling open-access datasets could be a key factor to overcoming limitations of artificial intelligence implementation, researchers explained in Nature Communications.

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Significant disparities exist in utilization of self-scheduling radiology exams, research shows

Researchers revealed that less than 1% of more than 46,000 patients took advantage of online self-scheduling tools.