Peter Watkinson
MD
Professor of Intensive Care Medicine
Prevention and management of critical illness
Professor Peter Watkinson, Professor of Intensive Care Medicine and NHS consultant in intensive care at the Oxford University Hospitals NHS Foundation Trust, leads the Critical Care Research Group based at the Kadoorie Centre for Critical Care Research & Education at the John Radcliffe Hospital, Oxford.
His research interests focus on the identification of the deteriorating patient in hospital and he has designed and run a number of studies in the field of wearable monitoring devices. The research group is now exploring the opportunities offered through non-contact monitoring and standard electronically-recorded descriptors of a patient's condition.
The research group has a strong link with the University of Oxford Institute of Biomedical Engineering. Using data collected from thousands of patients' vital signs in Oxford and elsewhere the multi-disciplinary team investigates ways to locate patterns which precede and predict clinical deterioration in hospitalised patients.
Other areas of interest for the research group include development of electronic monitoring systems, use of human factors techniques to introduce new technology into the healthcare environment, and assessing the longer-term effects of critical illnesses on patients' quality of life.
Recent publications
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Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data.
Journal article
Mesinovic M. et al, (2025), Sci Rep, 15
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Explainability in the age of large language models for healthcare.
Journal article
Mesinovic M. et al, (2025), Commun Eng, 4
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Is age associated with different vital signs in adults presenting to hospital with bacterial infection? A systematic review and meta-analysis.
Journal article
Tupper P. et al, (2025), Age Ageing, 54
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A retrospective records review comparing the care of patients who either avoided or were admitted to an ICU following a ward-based deterioration event.
Journal article
Ede J. et al, (2025), Intensive Crit Care Nurs, 90
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Maternal early warning scores shown to be methodologically weak and at high risk of bias.
Journal article
Jones MC. et al, (2025), J Clin Epidemiol
