Imaging Informatics | September 2019

When physicians place orders for imaging examinations, they often leave out key information that could help the radiologist provide better patient care. The authors of a new analysis published in the European Journal of Radiology have proposed a standardized grading system, the Reason for exam Imaging Reporting and Data System (RI-RADS), that could combat this issue.

Standardized imaging protocols can help healthcare providers deliver high-quality care at a consistent rate, but getting everyone on the same page is often challenging.

Audiovisual radiology reports can provide significant value when used in addition to traditional reports, according to new findings published by the Journal of Digital Imaging.

Natural language processing (NLP) and machine learning can help track when free-text radiology reports include follow-up imaging recommendations, according to a new study published in the Journal of Digital Imaging.

Researchers have developed an algorithm that identifies if follow-up imaging recommendations are adhered to or not, sharing their findings in the Journal of Digital Imaging.

Many physicians feel stress at work due to interacting with their institution’s electronic health record (EHR), according to new findings published in JAMA Network Open.

The American College of Radiology (ACR) has shared more information about the 2019 Imaging Informatics Summit, noting that the event is focused on the direct impact AI technologies and data can have on patient care.

Two different AI-based methods can identify patients with implantable devices that could pose a safety risk during MRI scans, according to research published in the Journal of the American College of Radiology.