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. 

Blockchain could be used to streamline preauthorization, share images between institutions and empower patients. But if healthcare as a whole isn't interested in sharing data, no technology can solve the industry's imaging informatics problems.

Natural language processing (NLP) has shown potential to extract measurements and their primary descriptors from radiology reports and provide them in a structured format, according to findings published in the Journal of Digital Imaging.

A new CT- and PET-imaging-based approach—one that entails applying big data to personalizing treatment protocols—is needed to better identify which head and neck carcinoma (HNC) patient subgroups respond to which specific therapies.

In a world of networked medical devices, it’s not hard to imagine a radiology-heavy cyberattack that is not only malicious but also ingenious.
 

Consolidation has become the name of the game for many private radiology practices, but not everyone wants in. Many unaffiliated groups still prefer the independent side of the playing field, defending their turf by contracting to provide imaging services to hospitals and health systems.

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.