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Errors in Imaging Patients in the Emergency Setting

Overview
Journal Br J Radiol
Specialty Radiology
Date 2016 Feb 4
PMID 26838955
Citations 37
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Abstract

Emergency and trauma care produces a "perfect storm" for radiological errors: uncooperative patients, inadequate histories, time-critical decisions, concurrent tasks and often junior personnel working after hours in busy emergency departments. The main cause of diagnostic errors in the emergency department is the failure to correctly interpret radiographs, and the majority of diagnoses missed on radiographs are fractures. Missed diagnoses potentially have important consequences for patients, clinicians and radiologists. Radiologists play a pivotal role in the diagnostic assessment of polytrauma patients and of patients with non-traumatic craniothoracoabdominal emergencies, and key elements to reduce errors in the emergency setting are knowledge, experience and the correct application of imaging protocols. This article aims to highlight the definition and classification of errors in radiology, the causes of errors in emergency radiology and the spectrum of diagnostic errors in radiography, ultrasonography and CT in the emergency setting.

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References
1.
Caranci F, Tedeschi E, Leone G, Reginelli A, Gatta G, Pinto A . Errors in neuroradiology. Radiol Med. 2015; 120(9):795-801. DOI: 10.1007/s11547-015-0564-7. View

2.
Gruen R, Jurkovich G, McIntyre L, Foy H, Maier R . Patterns of errors contributing to trauma mortality: lessons learned from 2,594 deaths. Ann Surg. 2006; 244(3):371-80. PMC: 1856538. DOI: 10.1097/01.sla.0000234655.83517.56. View

3.
Pinto A, Pinto F, Faggian A, Rubini G, Caranci F, Macarini L . Sources of error in emergency ultrasonography. Crit Ultrasound J. 2013; 5 Suppl 1:S1. PMC: 3711733. DOI: 10.1186/2036-7902-5-S1-S1. View

4.
Caranci F, Cicala D, Cappabianca S, Briganti F, Brunese L, Fonio P . Orbital fractures: role of imaging. Semin Ultrasound CT MR. 2012; 33(5):385-91. DOI: 10.1053/j.sult.2012.06.007. View

5.
Johnson P, Scott W, Gayler B, Lewin J, Fishman E . The CT scout view: does it need to be routinely reviewed as part of the CT interpretation?. AJR Am J Roentgenol. 2014; 202(6):1256-63. DOI: 10.2214/AJR.13.10545. View