Professional background

I am a critical care physician. My clinical training included anaesthesia and tropical medicine, and I worked for Medecins Sans Frontieres in Congo-Brazzaville, the Democratic Republic of Congo and Haiti. In 2009, I won a Wellcome Clinical Research Training Fellowship. This funded the largest prospective cohort study of deteriorating ward patients in the NHS jointly run from the London School of Hygiene and Tropical Medicine (LSHTM), and Intensive Care National Audit & Research Centre (ICNARC). We showed that decision making around the time of referral to critical care is variable, and constrained by bed availability.

I was awarded my PhD from LSHTM in 2014, and became an National Institute of Health Research (NIHR) Clinical Lecturer at University College London (UCL) before being appointed as a consultant in Critical Care at UCLH in 2016. I now lead the software development for the NIHR Health Informatics Collaborative Critical Care theme in which we have developed the first multi-centre research database for critical care (around 40 000 patients and 50 million unique data points per year).

In 2016, I became an Improvement Science Fellow for the Health Foundation, and began building a live data analytics platform (EMAP) for UCLH supported from UCLH Charity.

Research interests

We use observational clinical datasets to answer questions about treatment efficacy that cannot be addressed experimentally (via randomised controlled trials). I lead a Translational Data Science lab group at at UCL's Institute of Health Informatics, and founded 'Data Science for Doctors' in 2015. I co-lead the NIHR Critical Care Health Informatics Collaborative programme for the BRC, and UCLH's Experimental Medicine Application Platform.


Selected publications in the last 5 years

  • Arulkumaran N, Wright T, Harris S, Singer M (2020) Uncontrolled interventions during pandemics: a missed learning opportunity. Intensive Care Med
  • Banerjee A, Pasea L, Harris S, Gonzalez-Izquierdo A, Torralbo A, Shallcross L et al. (2020) Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study. Lancet 395: 1715-1725.
  • Krishnamoorthy V, Wong DJN, Wilson M, Raghunathan K, Ohnuma T, McLean D et al. (2020) Causal inference in perioperative medicine observational research: part 1, a graphical introduction. Br J Anaesth
  • Palmer E, Post B, Klapaukh R, Marra G, MacCallum NS, Brealey D et al. (2019) The Association between Supraphysiologic Arterial Oxygen Levels and Mortality in Critically Ill Patients. A Multicenter Observational Cohort Study. Am J Respir Crit Care Med 200: 1373-1380.
  • Wong DJN, Popham S, Wilson AM, Barneto LM, Lindsay HA, Farmer L et al. (2019) Postoperative critical care and high-acuity care provision in the United Kingdom, Australia, and New Zealand. Br J Anaesth 122: 460-469.
  • Grieve R, O’Neill S, Basu A, Keele L, Rowan KM, Harris S (2019) Analysis of Benefit of Intensive Care Unit Transfer for Deteriorating Ward Patients: A Patient-Centered Approach to Clinical Evaluation. JAMA Netw Open 2: e187704.
  • Harris S, Singer M, Sanderson C, Grieve R, Harrison D, Rowan K (2018) 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: 606-615.
  • Harris S, Shi S, Brealey D, MacCallum NS, Denaxas S, Perez-Suarez D et al. (2018) Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database. Int J Med Inform 112: 82-89.
  • Wong DJN, Harris SK, Moonesinghe SR, SNAP-2: EPICCSC, Health Services Research Centre NIOAA, Study SG et al. (2018) Cancelled operations: a 7-day cohort study of planned adult inpatient surgery in 245 UK National Health Service hospitals. Br J Anaesth 121: 730-738.
  • Moonesinghe SR, Wong DJN, Farmer L, Shawyer R, Myles PS, Harris SK et al. (2017) SNAP-2 EPICCS: the second Sprint National Anaesthesia Project-EPIdemiology of Critical Care after Surgery: protocol for an international observational cohort study. BMJ Open 7: e017690.
  • Harris SK, Lewington AJ, Harrison DA, Rowan KM (2015) Relationship between patients’ outcomes and the changes in serum creatinine and urine output and RIFLE classification in a large critical care cohort database. Kidney Int 88: 369-377.