Imaging Informatics

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.

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

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.

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.

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. 

As AI technologies continue to evolve, they may be able to make a significant impact on patient care by reducing the amount of time physicians spend sorting through paperwork and documentation.

Natural language processing (NLP) can provide significant value by auditing all communications related to critical findings, according to a new study published in the Journal of the American College of Radiology.

Machine learning (ML) can help providers extract all relevant facts from radiology reports in real time, according to a new study published in the Journal of Digital Imaging.

Technologists can provide significant value by assigning protocols for certain CT and MRI examinations, according to a new study published in the American Journal of Roentgenology.

Blockchain technology is gaining popularity throughout the world and could potentially have a significant impact on the medical imaging industry, according to a new analysis published in the Journal of Digital Imaging.

HIMSS and SIIM have collaborated on a new white paper focused on how to effectively build and implement an enterprise imaging (EI) system.

More than two billion files—including approximately 4.4 million medical imaging files—have been exposed online across various storage technologies, according to a new report from Digital Shadows.