Imaging Informatics

While AI wasn’t the only topic discussed during the SIIM 2019 annual meeting, every issue seemed to be tied to the emerging technology in one way or another.

Data security has become a serious issue in the U.S., not only for big tech companies like Facebook, but for vendors and institutions looking to use patient imaging information to develop AI platforms.

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.

In the first five months of the EHR, radiology information system (RIS) and PACS deployment project, Robert Paul, a radiology informatics manager at Mayo Clinic in Arizona, lost 60% of his team. He described his efforts to reduce burnout among his staff during a presentation at the SIIM annual conference.

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.

In order to properly train and validate algorithms, developers need high volumes of quality-labeled data. But such datasets are not easy to obtain.

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.

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.

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.