Factors Contributing to Computed Tomography Trauma Scan Times at a Tertiary Center: Improving Emergency Department Trauma Imaging Workflow Through Targeted Interventions

Author:

Wood Erika J.1,Stabo Nicholas2,Garrett John W.2,Rose Sean3,Bartels Carrie2,Szczykutowicz Timothy P.2,Avey Greg2,Mao Lu3,Lubner Meghan G.2

Affiliation:

1. University of Wisconsin School of Medicine and Public Health, Madison, WI

2. Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI

3. Department of Diagnostic and Interventional Imaging, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX

Abstract

Purposes The aims of the study are to identify factors contributing to computed tomography (CT) trauma scan turnaround time variation and to evaluate the effects of an automated intervention on time metrics. Methods Throughput metrics were captured via picture archiving and communication system from January 1, 2018, to December 16, 2019, and included 17,709 CT trauma scans from our institution. Initial data showed that imaging technologist variation played a significant role in trauma imaging turnaround time. In December 2019, we implemented a 2-pronged intervention: (1) educational intervention to techs and (2) modified trauma CT abdomen/pelvis to autogenerate and autosend reformats to picture archiving and communication system. A total of 13,169 trauma CT scans were evaluated from the postintervention period taking place from January 2020 to March 2021. Throughput metrics such as last image to first report interval and emergency department length of stay were captured and compared with performing technologist, time of day, and weekday versus weekend scans. Results Substantial variability among trauma CT scans was observed. For CT trauma abdomen/pelvis, the interval from last image to initial report decreased from 26.4 to 24.0 minutes (P = 0.001) while the interval between first and last image time decreased from 11.4 to 4.2 minutes (P < 0.001). Emergency department length of stay also decreased from 3.9 to 3.7 hours (P < 0.0001) in the postintervention period. Variation among imaging technologist was statistically significant and became less significant after intervention (P = 0.09, P = 0.54) Conclusions Factors such as imaging technologist variability, time of day, and day of the week of trauma scans played a significant role in CT trauma turnaround time variability. Automation interventions can help with efficiency in image turnaround time.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Radiology, Nuclear Medicine and imaging

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