Imaging Informatics | April 2019

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.

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

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.

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.

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.

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.

RBJ asked for—and received—in-depth answers to six high-level questions about data analytics. What all these Q&A sets have in common is the supplying of a fresh insight or two (or three) into tapping data for its power to prove value and bolster the bottom line.