Abstract #3001

Quantifying Efficiency and Variability of Clinical MRI Exams with Advanced Analytics Tools

Sheena Y Chu¹, Scott B Reeder^1,2,3,4,5, and John W Garrett^1,3

¹Department of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States, ²Department of Medicine, University of Wisconsin-Madison, Madison, WI, United States, ³Department of Radiology, University of Wisconsin-Madison, Madison, WI, United States, ⁴Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States, ⁵Department of Emergency Medicine, University of Wisconsin-Madison, Madison, WI, United States

By quantifying the efficiency and variability of clinic MRI exams, sources of potential improvement can be identified. An increase in efficiency and decrease in variability of MRI exams are essential to plan appropriate exam slot lengths, which can contribute to better patient access and reduced cost. Analytics are also essential to measure the impact on interventions to improve workflow. In this work we demonstrate the utility of analytics to identify inefficiencies in clinical MRI protocol in the context of MR enterography, a common abdominal MRI exam.

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