Stanford researchers developed a natural language processing tool to automatically extract useful measurements, sharing their process in Radiology: Artificial Intelligence.

Organizations may utilize these natural language processing tools during research and quality improvement projects.

Designed to provide secure, isolated and immutable copies of all medical images with unlimited capacity services, Cloud DR mitigates the risks against natural disasters, human error, technological failure or cybersecurity breaches amongst hospitals, healthcare systems and radiology practice groups.

Turnaround time improvements are likely due to the fewer number of edits required from the initial draft to finalized report.

Providers have previously deployed such analytics tools in public health programs, but their use has been scarce in imaging, Johns Hopkins experts wrote in JACR. 

New details also include eight exceptions to info-blocking rules, including issues related to privacy, security and charging fees for services that enhance interoperability.

One 3D mammogram acquired via digital breast tomosynthesis adds about 500 MB of image data to a hospital’s storage system. That’s the average. On the high end, a single study can occupy as much as 3 GB of real estate on a finite-volume storage server.

Patients also stand to benefit from more streamlined, consistent approaches to reporting, experts charged recently.