Literature DB >> 26587929

Acute Abdomen in the Emergency Department: Is CT a Time-Limiting Factor?

David Chenhan Wang1, Craig R Parry2, Michael Feldman3, George Tomlinson4, Josée Sarrazin5, Phyllis Glanc5.   

Abstract

OBJECTIVE: The purpose of this study was to quantify and integrate key emergency department (ED) and radiology department workflow time intervals within the ED length of stay (LOS) for patients presenting with acute abdomen who require CT.
MATERIALS AND METHODS: An 11-month retrospective review was performed of all patients presenting to the ED with an acute abdomen who required abdominal CT. Nine key time points associated with ED LOS and CT workflow were collected: triage, physician assessment, CT request, porter schedule, CT start, CT complete, provision of first CT report, ED disposition decision, and physical discharge. The median and 90th percentile times for each interval were reported.
RESULTS: Ninety-six percent (2194/2292) of ED encounters during the study period met the inclusion criteria. The median ED LOS was 9.22 hours (90th percentile, 15.7 hours). Intervals associated with CT workflow accounted for 29% of the total LOS. Radiology turnaround time accounted for 32% of the entire CT workflow interval. Timeline analysis found three unique patterns of ED disposition: disposition after initial imaging report, disposition before report, and disposition before CT.
CONCLUSION: To our knowledge, this study is the first to quantify the contribution of CT-related workflow time intervals within the context of ED LOS. We have shown that patients do not have identical ED transit pathways, and this may under- or overestimate time interval calculations. These results show the importance of site-specific ED LOS timeline analysis to identify potential targets for quality improvement and serve as baseline targets for measuring future quality improvement initiatives.

Entities:  

Keywords:  CT abdomen and pelvis; acute abdomen; emergency department; length of stay; medical imaging; turnaround time; wait times

Mesh:

Substances:

Year:  2015        PMID: 26587929     DOI: 10.2214/AJR.14.14057

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  13 in total

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8.  A Deep Residual U-Net Algorithm for Automatic Detection and Quantification of Ascites on Abdominopelvic Computed Tomography Images Acquired in the Emergency Department: Model Development and Validation.

Authors:  Hoon Ko; Jimi Huh; Kyung Won Kim; Heewon Chung; Yousun Ko; Jai Keun Kim; Jei Hee Lee; Jinseok Lee
Journal:  J Med Internet Res       Date:  2022-01-03       Impact factor: 5.428

9.  Adhesion-related small bowel obstruction: deep learning for automatic transition-zone detection by CT.

Authors:  Quentin Vanderbecq; Roberto Ardon; Antoine De Reviers; Camille Ruppli; Axel Dallongeville; Isabelle Boulay-Coletta; Gaspard D'Assignies; Marc Zins
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10.  Getting it Right the First Time: Frozen Sections for Diagnosing Necrotizing Soft Tissue Infections.

Authors:  Femke Nawijn; Falco Hietbrink; Marijke R van Dijk
Journal:  World J Surg       Date:  2020-09-29       Impact factor: 3.352

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