Curation of an intensive care research dataset from routinely collected patient data in an NHS trust. [version 1; peer review: 2 approved]

In this data note we provide the details of a research database of 4831 adult intensive care patients who were treated in the Bristol Royal Infirmary, UK between 2015 and 2019. The purposes of this publication are to describe the dataset for external researchers who may be interested in making use o...

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Published inF1000 research Vol. 8; p. 1460
Main Authors McWilliams, Chris, Inoue, Joshua, Wadey, Philip, Palmer, Graeme, Santos-Rodriguez, Raul, Bourdeaux, Christopher
Format Journal Article
LanguageEnglish
Published England Faculty of 1000 Ltd 2019
F1000 Research Limited
F1000 Research Ltd
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Summary:In this data note we provide the details of a research database of 4831 adult intensive care patients who were treated in the Bristol Royal Infirmary, UK between 2015 and 2019. The purposes of this publication are to describe the dataset for external researchers who may be interested in making use of it, and to detail the methods used to curate the dataset in order to help other intensive care units make secondary use of their routinely collected data. The curation involves linkage between two critical care datasets within our hospital and the accompanying code is available online. For reasons of data privacy the data cannot be shared without researchers obtaining appropriate ethical consents. In the future we hope to obtain a data sharing agreement in order to publicly share the de-identified data, and to link our data with other intensive care units who use a Philips clinical information system.
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No competing interests were disclosed.
GP, PW, JI and CM together extracted and pre-processed the data. GP, JI, PW and CB provided intimate knowledge of data collection procedures and systems. RS and CB conceived of the research dataset and oversaw its curation. CM conducted the coding and analysis. All authors contributed to writing the manuscript and approved the final version.
ISSN:2046-1402
2046-1402
DOI:10.12688/f1000research.20193.1