MRI scans are long, and scan durations are unpredictable. Combined with challenges of inter-departmental coordination, this leads to poorer operational efficiency, increased need for sedation (especially in a pediatric population), increased wait time, and overall poorer patient care. There is a need for active, automatic tracking of scan log in a MRI machine to 1) determine operational efficiency, 2)disease specific scan information, 3) identifying patient specific scan metrics. Currently, there exist no customizable open-source solution that can automatically obtain information from MRI scanners. The purpose of this study is to demonstrate implementation of a novel, customizable QI tool that can automatically extract scan log data from a MRI scanner in a pediatric setting. Read More

Meeting name: SPR 2019 Annual Meeting & Postgraduate Course , 2019

Authors: Krishnamurthy Ramkumar, Wiggins Roy, Hu Houchun, Krishnamurthy Rajesh, Block Tobias

Keywords: MRI scan, MRI log, MRI analytics