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.

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

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

The novel natural language processing technique can pinpoint overlooked details and avoid costly delays to patient care.

Focus groups requested 5 broad changes to reporting habits, which helped bolster readability, comprehension and knowledge of their future heart risks.