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    A project to improve system performance and patient flow in the emergency operations centre in identification of high risk silver trauma service users who have suffered a traumatic head injury

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    Author
    Faqir, Islam
    Keyword
    Emergency Medical Services
    Trauma
    Major Trauma
    Head Injury
    Triage
    Journal title
    BMJ Simulation and Technology Enhanced Learning
    
    Metadata
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    URI
    http://hdl.handle.net/20.500.12417/1067
    DOI
    10.1136/bmjstel-2018-heeconf.15
    Abstract
    Major trauma or MT has historically and traditionally been associated as a disease mainly affecting young men, normally under the age of 401 (NAO 2010). Major trauma describes serious and often multiple injuries where there is a strong possibility of death or disability2 (Keogh et al. 2015). Nationally the population is growing older, it is anticipated that the elderly will form an increasing part of the major trauma work load. A recent report published by TARN3 2017, found that elderly trauma currently accounts for 20% of patients, the predominant reason was a fall from <2 metres. The Emergency Operations Centre or EOC reported call demand for the year ending 2016 was 8 55 015 (YAS BI, 2017). All calls receive a code dependent on chief complaint calls that coded 17 (falls) accounted for 82 847 of that call volume, just under 7000 calls a month. Calls that code 17 (green) has the potential of a 90 delay in call back from a clinician at times this can be prolonged further dependent on call demand within the EOC. https://stel.bmj.com/content/4/Suppl_1/A10.1. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ DOI http://dx.doi.org/10.1136/bmjstel-2018-heeconf.15
    ae974a485f413a2113503eed53cd6c53
    10.1136/bmjstel-2018-heeconf.15
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