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Prof Harry Hemingway
404
Institute of Health Informatics
222 Euston Road
London
NW1 2DA
Appointment
  • Professor of Clinical Epidemiology
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
Role
Director
Research Groups
Research Summary
Research Leadership: co-founder of world’s first national Institute (the Farr) harnessing ‘big’ health record data for research to improve health and healthcare, with £39m of initial investment (10 funders) and now core funding from MRC (£37m 2018-2023). The central focus of my research is to develop underpinning methods to exploit the scale and phenotypic resolution of electronic health records (EHR) to accelerate early and late phase translational research. Actionable, highly cited findings include the following.

Underpinning methods
  • Early pioneer from 1995 in linking consented cohort (Whitehall II) and clinical studies to hospital discharge data (pre-HES) in England with results that led to major investment in coronary revascularisation. NEJM 2001
  • Established the first linkage between primary care records (CPRD), hospital episode statistics, national acute coronary syndrome disease registry (MINAP) and death data, with >30 publications, presented at NIH Transatlantic Data Science workshop 2016. NIHR Journals Library 2016. Demonstrated that these 4 record sources add cases of myocardial infarction, and each source is prognostically valid, informing UK Biobank strategy for EHR phenotyping (member outcomes group). BMJ 2013
  • Built CALIBER web-based portal for sharing computable phenotypic algorithms and other informatics tools; currently >100 registered users and over 300 phenotypes curated. www.caliberresearch.org/
  • Accelerated trustworthy data sharing as board member of NICOR (2m records across 6 disease/procedure registries) approving 85 projects markedly improving national understanding of quality. JAMA 2016
Early translation
  • Demonstrated value of higher resolution epidemiology: in cohorts of >1m people risk factors, established for heart attack and stroke such as blood pressure, T2 diabetes, and male sex have distinct, heterogeneous associations across 12 cerebral, coronary, cardiac and peripheral CVDs with implications for mechanistic understanding and optimisation of trial endpoints. Lancet 2014a, Lancet D&E 2015, JAMA 2006
  • Linking EHR with genomic information through Genomics England, UK Biobank and in East London Genes and Health, e.g. human knockouts. Science 2016
Late translation
  • Informing practice-changing international guidelines for management of atrial fibrillation (European Society of Cardiology, 2016); our population-based estimates of stroke risk and net clinical benefit according to CHA2DS2-VASc score from CALIBER are tabulated in the guidelines and inform recommendation on anti-coagulation in patients with low scores. Heart 2016
  • First international comparison of nationwide (all hospitals) data on care and outcomes of heart attack (and indeed of any disease); among >0.5m MI cases 30-day survival and care are worse in the UK than  Sweden (the only 2 countries with mandated registries). Highlighting 10,000 excess deaths in UK, compared to Sweden after MI judged ‘big impact’ in Secretary of State roundtable. Lancet 2014b

Broader economic gain and industry partnerships
  • With AstraZeneca delivered an early example of 4 integrated elements of real world evidence. For prolonged dual anti-platelet therapy we used EHR to: measure international unmet need; assess generalisability of findings from trials; personalise therapeutic decision using prognostic risk scores and net clinical benefits; and establish risk based cost effectiveness and drug pricing. NIHR Journals Library 2016











Teaching Summary

Shaping training agenda nationally: Gave evidence to Wachter NHS IT Review 2016 informing major emphasis of recommendations on training. As Director of the Farr London Academy (2013–) focal point for training in research using linked electronic health records spanning disciplines (hospital medicine, primary care, NHS IT, data managers, research informatics, genetics, statistics, epidemiology). Delivering new Doctoral Training Programme in Health Informatics, securing funding for 20 PhDs and contributed to national PhD summer school 2016. PhD Supervisor of 11 students: Clinical and Non-clinical. Delivering new Master’s and Diploma taught opportunities, and short courses

Clinical training: Undergraduate medical curriculum: Developed and delivered innovative, highly evaluated teaching at MB BS: New informatics curriculum (2012–); Prognosis in clinical medicine (2009–): 3 Academic Clinical Fellowship (ACFs): Public Health (George 2009–2013, NIHR PhD Fellowship, using linked electronic health records as cohort resources); Clinical Pharmacology (Shah 2012–, Wellcome Trust funded clinical training fellowship PhD on scalable methods for exploiting electronic health records); Public Health (Bray 2015): 2 Academic Clinical Lecturer (ACLs): Cardiology (Patel 2012–), (BHF Intermediate Fellowship 2012–2017); Public Health (Langenberg 2012–)

 

Academic Background
2005 FFPH Fellow of the Faculty of Public Health – Public Health Royal College of Physicians
2005 FRCP Fellow of the Royal College of Physicians – Pathology Royal College of Physicians
1995 MSc Master of Science London School of Hygiene and Tropical Medicine
1988 MB.ChB Bachelor of Medicine, Bachelor of Surgery – Clinical Medicine University of Cambridge
1985 BA Bachelor of Arts – Medical Sciences University of Cambridge
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