Monday, December 2 | 1:30 p.m.-1:40 p.m. | M6-SSMK03-1 | Room E450A
In a musculoskeletal imaging scientific session, researchers at Vestre Viken Hospital Trust in Norway suggest that a fracture detection model improves clinical workflow, patient waiting times, and doctor consultations. The group notes that it is evaluating the model for implementation in four hospitals.
The CE-cleared AI model was used as a tool to analyze x-ray images of patients presenting with trauma, with the algorithm incorporated into the hospitals’ radiology information system (RIS). Radiographers considered the model’s flagged results in preliminary reports. The study included 20,083 patient exams flagged by the algorithm, and data collected on workflow, patient waiting times, the necessity for doctor consultations, and the triaging process.
Ultimately, the AI model enabled radiographers to directly discharge 4,697 patients with negative findings, thereby reducing total patient waiting time by 201.3 days in total. There was also a decrease in the need for 2,348.5 doctor consultations at emergency departments, which allowed doctors to allot more time for sick patients. In addition, the AI-enhanced triaging capability in the RIS allowed radiologists to prioritize the reporting of urgent cases and facilitated the workflow, the group noted.
