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Dr Julie George
Public Health Data Science Centre
Institute of Health Informatics
222 Euston Road
Dr Julie George profile picture
  • Honorary Associate Professor
  • Institute of Health Informatics
  • Faculty of Pop Health Sciences
Julie George holds a Health Education England / NIHR Clinical Lectureship, awarded 2017. She divides her time between service Public Health in Surrey where she leads on health intelligence and the Institute of Health Informatics where she is undertaking research on risk prediction with population segmentation to support planning.

She held a variety of academic and service roles including running the Women’s Health Care Research Unit at Queen Mary College (as was) and commissioning women’s and children services for Camden and Islington Health Authority before switching her focus to public health. She qualified as a Public Health Consultant in 2013, the same year she received her PhD in Clinical Epidemiology from UCL.
Research Groups
Research Themes
Research Summary

Julie’s current research focusses on the development and use of risk prediction methods which support population health management. She is particularly interested in:
•    methodological development of accurate and interpretable tools using public health data science techniques including machine learning;
•    the implementation and use of those tools by health service planners;
•    the fairness of algorithms in the allocation of resources within the health and care sector; and

•    whole population learning health systems.

Her service work has similar themes, around the development of the analytic workforce and increasing use of public health data science techniques, population health management and better intelligence to support service planning.

She is also currently collaborating with colleagues on use of telemedicine in prisons and costs of health and social care in the final year of life.

Previous research focussed on clinical risk prediction, seeking to understand the heterogeneity of association between classical risk factors of cardiovascular disease and twelve different individual presentations of cardiovascular disease. Collaborative work within the Clinical Epidemiology Group included investigating hospital variation in outcome following admission for acute coronary syndrome and developing the use of the CALIBER linked data platform.

Teaching Summary

Julie has supervised MSc students on several MSc programmes including most recently the Health Informatics MSc organised by the Institute of Health Informatics (IHI). She is currently supervising a PhD student and interested supervising further PhD students. She supported the development of the Public Health Data Science module offered by IHI, developing the lecture with Julian Flowers from Public Health England on machine learning and artificial intelligence in public health.

Julie is an educational supervisor for public health, with responsibility for training public health registrars, both in Surrey and at UCL. She is currently completing a PG Cert in Clinical Education.

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