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.

Attackers can change imaging results, fool radiologists

As if healthcare providers didn’t already have enough cybersecurity threats to worry about, researchers have now found that malware can create fake findings in imaging results and deceive radiologists.

April 3, 2019

Optimized imaging protocols reduce radiation dose during wrist CT examinations

Following optimized CT protocols during wrist examinations can lead to significant reductions in radiation dose, according to a case study published in the Journal of the American College of Radiology.

April 1, 2019

Walk this way: How treadmill workstations affect radiologist efficiency

Treadmill desks have gained popularity in recent years, but how would utilizing one impact a radiologist’s ability to interpret medical imaging results?

March 29, 2019

EHR-centered workflow leads to more efficiency, higher radiologist satisfaction

Centering a radiology department’s workflow around the electronic health record (EHR) can improve efficiency and make radiologists happy, according to a new study published in Academic Radiology.

March 15, 2019

Tracking follow-up imaging adherence rates can lead to better patient care

Follow-up imaging adherence rates vary based on a number of factors, according to new research published in the American Journal of Roentgenology. The authors noted that closely monitoring such patterns can help providers engage patients and minimize risk.

March 13, 2019
Inflamed Brain

Less-experienced neuroradiologists serve referrers better with structured reporting

Researchers at Harvard and several institutions in Italy have shown that clinicians managing neuromuscular conditions receive clinically relevant information more consistently from structured radiology reports than from reports rendered in free text. And the gains are greatest when the reporting radiologist is not deeply experienced.

March 11, 2019
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What CT scans, mammograms can reveal about a patient’s heart health

CT scans and mammograms can reveal valuable information about a patient’s heart health, even if the exam was not specifically ordered for that purpose.

March 8, 2019

Natural language processing could help radiology providers anticipate demand

Natural language processing (NLP) could help radiology providers anticipate fluctuations in demand and provide faster patient care, according to a new study published in the Journal of the American College of Radiology.

March 5, 2019

Around the web

"This was an unneeded burden, which was solely adding to the administrative hassles of medicine," said American Society of Nuclear Cardiology President Larry Phillips.

SCAI and four other major healthcare organizations signed a joint letter in support of intravascular ultrasound. 

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

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