Improving Critically Illed Chidlren's Healthcare: Data Analysis of Inter-hospital Transported ICU Children_GOSH_CATS_UCL
Authors/Creators
- 1. Institute of Health Informatics, University College London
- 2. Digital Research Innovation and Virtual Environment (DRIVE), Great Ormond Street Hospital
- 3. 3University of Exeter Medical School
- 4. Children's Acute Transport Service (CATS), Great Ormond Street Hospital
- 5. Clinical Operational Research Unit, University College London
- 6. Department of Surgery and Cancer, Imperial College London
Description
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.
Files
Files
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