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ZENODO
Other ORP type . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2023
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2023
License: CC BY
Data sources: Datacite
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Improving Critically Illed Chidlren's Healthcare: Data Analysis of Inter-hospital Transported ICU Children_GOSH_CATS_UCL

Authors: Huo, Zhiqiang; Booth, John; Monks, Thomas; Knight, Philip; Watson, Liam; Peters, Mark; Pagel, Christina; +2 Authors

Improving Critically Illed Chidlren's Healthcare: Data Analysis of Inter-hospital Transported ICU Children_GOSH_CATS_UCL

Abstract

This repository is to present some preliminary data analysis of transported ICU children in a pilot research work carried out by UCL and CATS team. This work has been published in the journal of "Intensive Care Medicine – Paediatric and Neonatal"with a title of "Distribution and trajectory of vital signs from high-frequency continuous monitoring during paediatric critical care transport". This work is a collaborative work between University College London, Great Ormand, Great Ormond Street Hospital, and Children’s Acute Transport Service (CATS) team. The aim is to improve healthcare of critically ill children during transport using data (e.g., EHR, vital sign, and transport data). This was a retrospective cohort study analysing continuously monitored physiologic variables of critically ill children (age ≤18 years) transported to PICUs by the CATS team, a regional PCCT based in London, between 1 July 2016 and 30 May 2021. Citation: Huo, Z., Booth, J., Monks, T., Knight, P., Watson, L., Peters, M., Pagel, C., Ramnarayan, P. and Li, K., 2023. Distribution and trajectory of vital signs from high-frequency continuous monitoring during pediatric critical care transport. Intensive Care Medicine–Paediatric and Neonatal, 1(1), p.18.

Keywords

Data Analysis, Standarisation, ICU children, emergency transport

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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