Photo of Dr Steve Harris

Dr Steve Harris

Email:

Location:

  • University College Hospital

GMC/GDC number:

4648039

Professional background

Steve Harris is a principal research fellow in Translational Data Science at UCL, a consultant in critical care, and the Chief Research Information Officer at the UCLH NIHR Biomedical Research Centre.

He has held fellowships from Wellcome, and the Health Foundation, and won more than £10m in grant funding.

He is co-director of the Central London NIHR Patient Safety Research Collaborative, and co-investigator for CHIMERA, the Wellcome Innovation Flagship Critical Care Asia, and co-leads the NIHR Health Informatics Collaborative for Critical Care.

At UCLH, he led the implementation of the Experimental Medicine Application Platform (EMAP) and FlowEHR that aim to bridge the 'AI chasm', and deliver algorithms and inference to the bedside.

Specialties

Research interests

Dr Harris uses observational clinical datasets to answer questions about treatment efficacy that cannot be addressed experimentally (via randomised controlled trials).

He leads a Translational Data Science lab group at at UCL's Institute of Health Informatics, and founded 'Data Science for Doctors' in 2015. He also co-leads the NIHR Critical Care Health Informatics Collaborative programme for the BRC, and UCLH's Experimental Medicine Application Platform.

Publications

Selected publications in the last 5 years. Find out more here.

  • Harris, Steve, Mervyn Singer, Colin Sanderson, Richard Grieve, David Harrison, and Kathryn Rowan. ‘Impact on Mortality of Prompt Admission to Critical Care for Deteriorating Ward Patients: An Instrumental Variable Analysis Using Critical Care Bed Strain’. Intensive Care Medicine 44, no. 5 (2018): 606–15. https://doi.org/10.1007/s00134-018-5148-2.
  • Harris, Steve, Tim Bonnici, Thomas Keen, Watjana Lilaonitkul, Mark J. White, and Nel Swanepoel. ‘Clinical Deployment Environments: Five Pillars of Translational Machine Learning for Health’. Frontiers in Digital Health 4 (August 2022). https://doi.org/10.3389/fdgth.2022.939292.
  • Grieve, Richard, Stephen O’Neill, Anirban Basu, Luke Keele, Kathryn M Rowan, and Steve Harris. ‘Analysis of Benefit of Intensive Care Unit Transfer for Deteriorating Ward Patients: A Patient-Centered Approach to Clinical Evaluation’. JAMA Network Open 2, no. 2 (2019): e187704–e187704. https://doi.org/10.1001/jamanetworkopen.2018.7704.
  • Palmer, Edward, Benjamin Post, Roman Klapaukh, et al. ‘The Association between Supraphysiologic Arterial Oxygen Levels and Mortality in Critically Ill Patients. A Multicenter Observational Cohort Study’. American Journal of Respiratory and Critical Care Medicine 200, no. 11 (2019): 1373–80. https://doi.org/10.1164/rccm.201904-0849OC.
  • Wilson, Matthew G, Folkert W Asselbergs, Nausheen Saleem, et al. ‘Digital Integration of Research Conduct into Clinical Care: Results of the PROSPECTOR Randomised Feasibility Study’. BMJ Evidence-Based Medicine 0, no. 0 (2025): bmjebm-2024-113081. https://doi.org/10.1136/bmjebm-2024-113081.
  • Harris, Steve. ‘I Don’t Want My Algorithm to Die in a Paper: Detecting Deteriorating Patients Early’. American Journal of Respiratory and Critical Care Medicine 204, no. 1 (2021): 4–5. https://doi.org/10.1164/rccm.202102-0459ED.
  • Banerjee, Amitava, Laura Pasea, Steve Harris, et al. ‘Estimating Excess 1-Year Mortality Associated with the COVID-19 Pandemic According to Underlying Conditions and Age: A Population-Based Cohort Study’. The Lancet 395, no. 10238 (2020): 1715–25. https://doi.org/10.1016/S0140-6736(20)30854-0.
  • King, Zella, Joseph Farrington, Martin Utley, et al. ‘Machine Learning for Real-Time Aggregated Prediction of Hospital Admission for Emergency Patients’. Npj Digital Medicine 5, no. 1 (2022): 104. https://doi.org/10.1038/s41746-022-00649-y.
  • Pich, Oriol, Elsa Bernard, Maria Zagorulya, et al. ‘Tumor-Infiltrating Clonal Hematopoiesis’. New England Journal of Medicine 392, no. 16 (2025): 1594–608. https://doi.org/10.1056/NEJMoa2413361.
  • Wong, D.J.N., S.K. Harris, and S.R. Moonesinghe. ‘Cancelled Operations: A 7-Day Cohort Study of Planned Adult Inpatient Surgery in 245 UK National Health Service Hospitals’. British Journal of Anaesthesia 121, no. 4 (2018): 730–38. https://doi.org/10.1016/j.bja.2018.07.002.