Radiologists at Seattle-based University of Washington School of Medicine are leaning into technological automation to streamline workflows and prevent physician burnout.
“Right now, we face escalating demand for imaging and image-guided procedures,” Paul Kinahan, PhD, vice chair for research and professor of radiology, said in a May 6 news release from the university. “Patient cases are more complex, and we are being asked to do more, too. It’s no longer just ‘do a scan and write a report.’ If we don’t innovate, we’ll either burn out or have to deny people care.”
The university is developing ways to utilize GE Healthcare technologies already in-house to extract data from CT images that radiologists can use to predict a patient’s risk of future adverse events or chronic conditions.
Additionally, the university is investigating technologies from other companies to address a “growing burden” on the administrative side of patient care, including AI-guided transcription, report-generation, computer-aided triage and notification systems, the release said.
