Big data to improve cardiovascular health: Hype or reality?

Chair: Dr Chris Gale, Associate Professor of Cardiovascular Health Sciences, Honorary Consultant Cardiologist

15:15: Registration at the Medical Lecture Theatre, Level 7 Airport Lounge, Worsley Building, University of Leeds

15:30: Dr Marlous Hall, Senior Cardiovascular Epidemiologist, Leeds Institute of Cardiovascular and Metabolic Medicine and Wellcome Trust ISSF Fellow, Leeds Institute for Data Analytics

#datasaveslives: Examples from the UK’s national register of acute myocardial infarction

15:45: Miss T. Bernadette Dondo, MRC Medical Bioinformatics Centre PhD student, Leeds Institute of Cardiovascular and Metabolic Medicine and Leeds Institute for Data Analytics

β blocker use and mortality among hospital survivors of acute myocardial infarction: a nationwide cohort study

16:00: Professor Kazem Rahimi, James Martin Senior Fellow in Essential Healthcare and Honorary Consultant Cardiologist.

The hype or reality of big data to improve cardiovascular health

Kazem Rahimi is the James Martin Senior Fellow in Essential Healthcare at the University of Oxford and Honorary Consultant Cardiologist at the John Radcliffe Hospital, Oxford. As the Deputy Director of The George Institute UK he leads the Essential Healthcare Programme, which aims to find practical and affordable solutions for the global health priorities of the world’s largest emerging economies, as well as the priorities of vulnerable or disadvantaged populations in established economies as well as directing the Oxford Martin School “Big Data Programme”.

He graduated in medicine from the University of Leipzig in Germany with postgraduate training in cardiology 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 service delivery innovation in chronic disease prevention and management, large-scale complex intervention studies, and data-driven electronic decision support systems.

17:00: Refreshments and networking at LIDA Staff Room, Level 11, Worsley Building

18:00: Close