1354: Acute Kidney Injury (Aki) Progression During the First Five Days of an Icu Stay

Pachucki, Marcin; Ghosh, Erina; Eshelman, Larry J.; Palanisamy, Krishnamoorthy; Gould, T; Bourdeaux, Chris

doi:10.1097/01.ccm.0000529357.08587.74

Cited by 2 publications

(1 citation statement)

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“…Since then we have continued to expand the capabilities of the dashboards to support clinical decision making and improve the quality of care. We have collaborated with Philips on the development of dashboard intervention for acute kidney injury 6, 7 and have begun to explore machine learning methods for the automatic classification of ward-dischargeable patients 8 .…”

Section: Introductionmentioning

confidence: 99%

Curation of an intensive care research dataset from routinely collected patient data in an NHS trust.

et al. 2019

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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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Section: Introductionmentioning

confidence: 99%