Deputy Director, The George Institute UK
- Associate Professor of Cardiovascular Medicine
- James Martin Senior Fellow in Essential Healthcare at the University of Oxford
- Honorary Consultant Cardiologist at the John Radcliffe Hospital, Oxford
Prof Kazem Rahimi is a cardiologist with research interests in the area of clinical trials and health services research.
As the Deputy Director of The George Institute for Global Health, Kazem leads the Healthcare Innovation and Evaluation programme, which aims to find practical and affordable solutions for the global health priorities of the world¹s largest emerging economies, as well as the priorities of vulnerable or disadvantaged populations in established economies.
Kazem graduated in medicine from the University of Leipzig in Germany with postgraduate training in cardiology, epidemiology, clinical trials and health services research in Leipzig, London and Oxford. Prior to joining the George Institute, in 2010, he was a Research Fellow at Oxford’s Clinical Trial Service and Epidemiological Studies Unit. His research interests include hypertension, heart failure and cardiovascular risk management, using a variety of methodologies such as individual-patient meta-analysis, large-scale complex intervention trials, and digital health technologies.
Kazem is currently the Chief Investigator of several large-scale projects and programmes including the SUPPORT-HF (a trial of remote self-management support in patients with heart failure), UNVEIL-CHF (a programme of research into variation in management of heart failure patients using large clinical datasets), BPLTTC (an international collaboration of blood pressure lowering trialists) and the SUPPORT-CVD trial (a large-scale cluster RCT of risk-stratified prevention and management of CVD with the use of low-cost technologies including the cardiovascular polypill).
Cardiac structure doses in women irradiated for breast cancer in the past and their use in epidemiological studies.
Duane FK. et al, (2019), Pract Radiat Oncol
Management of blood pressure in heart failure.
Pinho-Gomes AC. and Rahimi K., (2019), Heart (British Cardiac Society)
Predicting the risk of emergency admissions: development of machine learning models for a large cohort of linked electronic health records
Rahimian F. et al, (2018), PLoS Medicine
Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records.
Rahimian F. et al, (2018), PLoS Med, 15
Home monitoring with IT-supported specialist management versus home monitoring alone in patients with heart failure: design and baseline results of the SUPPORT-HF 2 randomized trial
RAHIMI K. et al, (2018), American Heart Journal