With the success of BI-RADS for the communication of mammography screening results, there has been a proliferation of similar schemas, such as Lung-RADS, PI-RADS, C-RADS, LI-RADS, and NI-RADS. It's often difficult, however, for many radiologists -- especially those in busy clinical practices -- to recall the details of each reporting scheme, said presenter Dr. David Vining of MD Anderson Cancer Center in Houston.
To help, the researchers have developed ViSion, a multimedia structured reporting software application that records discrete features of disease from which the appropriate RADS assessment can be calculated and incorporated into a radiology report. Structured reporting powered by natural language processing enables radiologists to practice naturally -- viewing and speaking about imaging findings while simultaneously generating structured data in the background, Vining said.
"When a radiologist mentions a particular image finding, the system prompts the radiologist to dictate required features describing the disease from which the appropriate RADS assessment can be determined," he told AuntMinnie.com. "The aim is to create a very robust and efficient structured reporting process that is applicable to a variety of imaging modalities and indications and, when necessary, address specific imaging needs like the application of RADS reporting schema. Furthermore, the structured data that are generated can be used to calculate medical outcomes which are essential for the coming pay-for-performance reimbursement."
How did they achieve this performance? Check out this Thursday morning presentation for all of the details.
