How can we learn from population health data to improve care for an individual patient? Professor Harry Hemingway explains his work using informatics and data science to exploit large-scale health record resources. Through understanding patterns in the whole population, he explains how this can be translated into new knowledge for how to improve quality of care for a single person - such as how previous patients like them have responded to drugs or treatments.
His research group joins up data from electronic health records and other sources across the NHS using cutting edge big data processing methods. The insights gained from this epidemiological work inform clinical practice guidelines and policy affecting the health of millions of people.
Professor Hemingway is Professor of Clinical Epidemiology at University College London. He gave this presentation 'A grand convergence of care and research? From ink to actionable insights in longitudinal records of health' as part of the Academy of Medical Sciences New Fellow's Admissions Day 2019, held on 26 June. On this day, the Academy welcomed 57 Fellows for their formal admission.
Read more about Professor Hemingway's work
Find him on Twitter
Read more about digital health from The Lancet, who produced some of the animations shown in this presentation
For more information about New Fellows Day 2019, visit
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