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Remote post-mortem radiology reporting in disaster victim 6 identification: experience gained in the 2017 Grenfell Tower disaster

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posted on 2019-06-28, 14:43 authored by Guy N. Rutty, Mike J. P. Biggs, Alison Brough, Bruno Morgan, Philip Webster, Ann Heathcote, Jessica Dolan1, Claire Robinson
On 14 June 2017 at 00:54 h, the worst residential fire since the conclusion of the Second World War broke out in Flat 16, 4th floor of the 24-storey residential Grenfell Tower Block of flats, North Kensington, West London, UK. Seventy-one adults and children died, including one stillbirth. All victims of the Grenfell Tower disaster who died at the scene underwent post-mortem computed tomography (PMCT) imaging using a mortuary-sited mobile computed tomography scanner. For the first time, to the authors’ knowledge, the disaster victim identification (DVI) radiology reporting was undertaken remote to the mortuary scanning. Over an 11-week period, 119 scans were undertaken on 16 days, with up to 18 scans a day. These were delivered to a remote reporting centre at Leicester on 13 days with between 2 and 20 scans arriving each day. Using a disaster-specific process pathway, a team of 4 reporters, with 3 support staff members, trialled a prototype INTERPOL DVI radiology reporting form and produced full radiology reports and supporting image datasets such that they were able to provide 96% of prototype DVI forms, 99% of image datasets and 86% of preliminary reports to the DVI teams in London within one working day of image receipt. This paper describes the first use of remote radiology reporting for DVI and exemplifies how remote PMCT reporting can be used to support a DVI process of this scale.

History

Citation

International Journal of Legal Medicine, 2019

Author affiliation

/Organisation/COLLEGE OF LIFE SCIENCES/Biological Sciences/Genetics and Genome Biology

Version

  • VoR (Version of Record)

Published in

International Journal of Legal Medicine

Publisher

Springer Verlag (Germany) for International Academy of Legal Medicine

issn

0937-9827

Acceptance date

2019-06-17

Copyright date

2019

Available date

2019-06-28

Publisher version

https://link.springer.com/article/10.1007/s00414-019-02109-x

Language

en

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