Literature DB >> 11069742

Radiological review of accident and emergency radiographs: a 1-year audit.

S M Williams1, D J Connelly, S Wadsworth, D J Wilson.   

Abstract

AIM: To assess the impact and cost effectiveness of a system of radiological review of accident and emergency (A&E) plain films.
MATERIALS AND METHODS: Review documentation was studied retrospectively over a 1-year period. Six hundred and eighty-four actual or suspected errors in the initial radiological interpretation by A&E staff were highlighted by radiologists in training. These selected 'red reports' were then further reviewed by a musculoskeletal radiologist and a more senior member of the A&E team.
RESULTS: Three hundred and fifty-one missed or strongly suspected fractures were detected, with ankle, finger and elbow lesions predominating. Other errors included 11 missed chest radiograph abnormalities and 24 A&E false-positives. Radiologists in training tended to over-report abnormalities with an 18% false-positive rate when compared to the subsequent musculoskeletal radiology opinion. Following review, further action was taken by A&E staff in 286 (42.6%) of cases. No operative intervention was required in those patients with a delayed or missed A&E diagnosis. Consideration is given to the cost of providing this form of review and the impact of medico-legal factors.
CONCLUSION: Compared with the large numbers of patients seen and radiographed in a busy A&E department, the number of radiological errors was small. There were even fewer changes in management. Despite this, concern over litigation, clinical governance and future work patterns in A&E make this form of review a useful means of risk reduction in a teaching hospital.Williams, S. M. (2000). Clinical Radiology55, 861-865 Copyright 2000 The Royal College of Radiologists.

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Year:  2000        PMID: 11069742     DOI: 10.1053/crad.2000.0548

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  8 in total

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Journal:  Br J Radiol       Date:  2011-11       Impact factor: 3.039

2.  Spectrum of diagnostic errors in radiology.

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Journal:  World J Radiol       Date:  2010-10-28

Review 3.  Errors in imaging patients in the emergency setting.

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Journal:  Br J Radiol       Date:  2016-02-03       Impact factor: 3.039

4.  Artificial Intelligence in Fracture Detection: A Systematic Review and Meta-Analysis.

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5.  After-hour trauma-radiograph interpretation in the emergency centre of a District Hospital.

Authors:  Yi-Ying Melissa Liu; Suzanne O'Hagan; Frederik Carl Holdt; Sa'ad Lahri; Richard Denys Pitcher
Journal:  Afr J Emerg Med       Date:  2022-06-06

6.  What is the effect of reporting all emergency department radiographs?

Authors:  J R Benger; I D Lyburn
Journal:  Emerg Med J       Date:  2003-01       Impact factor: 2.740

7.  Deep neural network improves fracture detection by clinicians.

Authors:  Robert Lindsey; Aaron Daluiski; Sumit Chopra; Alexander Lachapelle; Michael Mozer; Serge Sicular; Douglas Hanel; Michael Gardner; Anurag Gupta; Robert Hotchkiss; Hollis Potter
Journal:  Proc Natl Acad Sci U S A       Date:  2018-10-22       Impact factor: 11.205

8.  The impact of immediate reporting on interpretive discrepancies and patient referral pathways within the emergency department: a randomised controlled trial.

Authors:  M Hardy; B Snaith; A Scally
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

  8 in total

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