The Secondary Use of Longitudinal Critical Care Data
Lead Research Organisation:
University College London
Department Name: Medicine
Abstract
Electronic health records capture rich clinical information over time providing opportunities for both discovery of disease mechanism, and for understanding and improving quality of care. It is currently unclear how electronic health records (diverse, messy data) can be used to define disease and disease sub-types relevant for precision medicine. It is also unclear how molecular mechanisms map to clinical phenotypes. By tackling such problems we may enhance the effectiveness of current treatments and improve our chances of developing new ones.
Critical care offers a particular set of opportunities because the volume of EHR data collected per patients is particularly large, it is often numeric, and it is real time. At UCL Professor Mervyn Singer and Drs Steve Harris, David Brealey and Niall MacCallum have made major steps in 'unlocking' critical care data for research. They are leading on a multicentre critical care data project funded by the NIHR that currently comprises >20,000 patients and >22 million datapoints. But there is much to be done.
Critical care offers a particular set of opportunities because the volume of EHR data collected per patients is particularly large, it is often numeric, and it is real time. At UCL Professor Mervyn Singer and Drs Steve Harris, David Brealey and Niall MacCallum have made major steps in 'unlocking' critical care data for research. They are leading on a multicentre critical care data project funded by the NIHR that currently comprises >20,000 patients and >22 million datapoints. But there is much to be done.
Organisations
Publications
Wong DJN
(2021)
Reproducibility and transparency in anaesthesiology research. Comment on Br J Anaesth 2020; 125: 835-42.
in British journal of anaesthesia
Post B
(2020)
Oxygenation of the critically ill in selected intensive care units in the UK: are we usual?
in British journal of anaesthesia
Palmer Edward S.
(2021)
The secondary use of longitudinal critical care data
Palmer E
(2019)
The Association between Supraphysiologic Arterial Oxygen Levels and Mortality in Critically Ill Patients. A Multicenter Observational Cohort Study.
in American journal of respiratory and critical care medicine
Palmer E
(2019)
Intelligently learning from data.
in Critical care (London, England)
Harris S
(2021)
Trials in pandemics: here we go again?
in British Journal of Anaesthesia
Al-Hindawi A
(2021)
Process Leading to Missing Data Has Meaning: Fluid Response Evaluation in Sepsis Hypotension and Shock.
in Chest
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
MR/R502248/1 | 01/10/2017 | 30/09/2021 | |||
1940076 | Studentship | MR/R502248/1 | 01/10/2017 | 25/03/2021 |