• Consultant in Critical Care and Anaesthesia, University College London Hospital
  • Over 15 years’ experience in general, emergency and tropical medicine with a strong research background in biostatistics, epidemiology and clinical trials
  • Fellowship project aims to improve the allocation and evaluation of critical care
  • 2016 Improvement Science Fellow

Steve Harris is a Consultant in Critical Care and Anaesthesia at University College London Hospital, with over 15 years’ experience in general, emergency and tropical medicine. After graduating in clinical medicine from Oxford University, he worked at various London hospitals and led a team of clinicians at a Médecins Sans Frontières hospital in Congo.

Steve’s Wellcome Trust Research Training Fellowship and time as a National Institute for Health Research (NIHR) Clinical Lecturer in Anaesthesia and Intensive Care have given him a strong research background in biostatistics, epidemiology and clinical trials. He designed and implemented the largest observational study of deteriorating patients in NHS hospitals, which won international accolades.

Steve is currently the clinical technical lead for the NIHR Health Informatics Collaborative critical care theme, which is making routine clinical data available to researchers to accelerate improvements in care: ‘Uniquely we will offer data linkage so health records can be linked across specialties and to social care sources’.

Steve’s project

During his Improvement Science Fellowship, Steve will work on a project to improve the allocation and evaluation of critical care. This will involve using existing electronic health records to monitor patients at risk of deterioration outside of intensive care units, enabling health care teams to make decisions on critical care admissions:

‘Phase 1 will build a near future forecasting system for ICU bed occupancy that takes into account the current workload and planned high-risk surgical admissions. Phase 2 will evaluate whether this decreases surgical cancellations, allows fairer allocation of beds and reduces harm by admitting the right patient at the right time’.

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