Literature DB >> 29980323

Litigation claims in relation to radiology: what can we learn?

O Hulson1.   

Abstract

AIM: To analyse data provided by the National Health Service Litigation Authority (NHSLA) to establish common and/or reoccurring themes or trends, and use these established learning points to reduce the possibility of such claims in the future.
MATERIALS AND METHODS: Data provided by the NHSLA under the Freedom of Information Act for settled claims against radiology between 1995 and 2014 were analysed for common themes.
RESULTS: Seven hundred and ninety-one settled claims were recorded by the NHSLA between 1995 and 2014 where radiology was implicated as the primary specialty at fault. Alleged missed or delayed diagnosis of a tumour accounted for almost a third of claims. Eight percent of claims related to interventional radiology. Almost 10% of claims (n=75) were settled due to an injury whilst in the radiology department, with almost a third of these due to a fall in the department.
CONCLUSION: "To err is human", but by analysing NHSLA claims related to radiology, thematic analysis and discussion regarding these cases can be highlighted, and hopefully, to mitigate these risks and thus reduce liability in the future. Crown
Copyright © 2018. Published by Elsevier Ltd. All rights reserved.

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Year:  2018        PMID: 29980323     DOI: 10.1016/j.crad.2018.05.025

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


  1 in total

1.  The impact of the introduction of artificial intelligence in radiology and its potential legal implications in the UK and Ireland.

Authors:  Toni Anderson; William C Torreggiani; Peter L Munk; Paul I Mallinson
Journal:  BJR Open       Date:  2020-07-14
  1 in total

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