2015
DOI: 10.1111/anae.13268
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The feasibility of using ‘bring your own device’ (BYOD) technology for electronic data capture in multicentre medical audit and research

Abstract: SummaryLarge-scale audit and research projects demand robust, efficient systems for accurate data collection, handling and analysis. We utilised a multiplatform 'bring your own device' (BYOD) electronic data collection app to capture observational audit data on theatre efficiency across seven hospital Trusts in South Yorkshire in June-August 2013. None of the participating hospitals had a dedicated information governance policy for bring your own device. Data were collected by 17 investigators for 392 individu… Show more

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Cited by 22 publications
(30 citation statements)
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“…After deduplication and iterative review of abstracts and full texts, 14 articles were identified as meeting the inclusion criteria, 8 of which were original research articles [9,[17][18][19][20][21]26,39]. Five were magazines articles (all coming from the USA) [16,[22][23][24]27] and one a viewpoint journal article [25]. All the publications were from high-income countries as follows: nine from the USA [9,16,19,20,[22][23][24]27,39], two from the UK [25,26], two from Canada [17,18] and one from Ireland [21].…”
Section: Resultsmentioning
confidence: 99%
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“…After deduplication and iterative review of abstracts and full texts, 14 articles were identified as meeting the inclusion criteria, 8 of which were original research articles [9,[17][18][19][20][21]26,39]. Five were magazines articles (all coming from the USA) [16,[22][23][24]27] and one a viewpoint journal article [25]. All the publications were from high-income countries as follows: nine from the USA [9,16,19,20,[22][23][24]27,39], two from the UK [25,26], two from Canada [17,18] and one from Ireland [21].…”
Section: Resultsmentioning
confidence: 99%
“…Five were magazines articles (all coming from the USA) [16,[22][23][24]27] and one a viewpoint journal article [25]. All the publications were from high-income countries as follows: nine from the USA [9,16,19,20,[22][23][24]27,39], two from the UK [25,26], two from Canada [17,18] and one from Ireland [21]. The identified review articles were published between 2012 and 9 2016: one in 2012 [20], two in 2013 [23,27], five in 2014 [16,17,21,24,25], two in 2015 [19,22], and four in 2016 [9,18,26,39].…”
Section: Resultsmentioning
confidence: 99%
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