Health Data Science Research Strand

Health Data Science Research Strand focuses on building Bristol capacity to carry out interdisciplinary research that makes the best use of existing, routinely collected data to improve health, care and services.

Purpose

The strand will achieve this through creation of 'Health Data Science Hub' which will combine and focus expertise across the university (all Faculties) and beyond in data linkage, data governance, data science and population health/health services research. Health Data Science strand will capitalise on Bristol's unique combination of strengths in cohort studies, population health as well as our expertise in data science and techniques for analysing/interpreting data, machine learning and AI.


Events

Seminar Series 2020

The Elizabeth Blackwell Institute’s Health Data Science Research Strand invites you to a series of seminars across 2020.  The series will showcase experts researching health and health-related issues, and will provide an introduction to their work and the methods they apply.

Seminar 3

Thursday 17th September 2020 12-2pm Online seminar via Zoom

Professor Niels Peek, University of Manchester, will talk about his work on 'Prediction Methods for Health and Care should focus on Benefits, not Risks'

Niels Peek is Professor of Health Informatics and Strategic Research Domain Director for Digital Health at the University of Manchester. He has a background in Computer Science and Artificial Intelligence, and his research focuses on data-driven methods for health research, healthcare quality improvement, and computerised decision support. Professor Peek has co-authored more than 200 peer-reviewed scientific publications. From 2013 to 2017 he was the President of the Society for Artificial Intelligence in Medicine. He is associate editor of BMJ Health and Care Informatics, and a member of the editorial boards of the Journal of the American Medical Informatics Association and Artificial Intelligence in Medicine. In April 2017, he organised the Informatics for Health 2017 conference in Manchester which was attended by more than 800 people from 30 countries. He also co-chaired the Scientific Programme Committee of MEDINFO-2017, the 16th World Congress on Health and Biomedical Informatics, which was held in Hangzhou, China, in August 2017. In 2018 he was elected fellow of the American College of Medical Informatics and he became a fellow of the Alan Turing Institute.

Please book your place via Eventbrite

Visit the Health Data Science events section for more information on upcoming events.


Health Data Science research strand launch

In November 2019, the Elizabeth Blackwell Institute’s Health Data Science Research Strand held a networking symposium at the University of Bristol, Beacon House. Find out more about the launch event


Funding

EBI Health Data Science Funding Call Announcement

The Elizabeth Blackwell Institute Health Data Science research strand are pleased to announce the funding of two research projects, running from April 2020 for the duration of 12 months. 

Katy Turner (Health Sciences, Vet School) et al, Severn Pathology: Opening up a goldmine for Antimicrobial Resistance (AMR) health research and beyond. 

Jennifer Cooper (Health Sciences, PHS) et al Automated machine learning identification of the clinical pathways from routinely collected patient health data. 

Marcus Munafo (Psychological Sciences), Natalie Thurlby (Engineering) et al, Enabling health researchers to measure the impact of model choice. 


Contacts

Health Data Science Research Strand is a cross-Faculty initiative led by:

John Macleod, Faculty of Health Sciences, Bristol Medical School, Population Health Sciences

Jonathan Lawry, Faculty of Engineering, Department of Engineering Mathematics 

Rupert Payne, Faculty of Health Sciences, Bristol Medical School, Population Health Sciences

Catherine Dampney, Director of Business Intelligence, Innovation & Transformation, NHS

Rachel Denholm, Lecturer in Applied Health Data Science

Administrator: Melanie Tomlin. For queries or to join the mailing list please contact ebi-healthdatascience@bristol.ac.uk


Strand Steering Group

  • John Macleod (Chair), Faculty of Health Sciences, Bristol Medical School, Population Health Sciences
  • Roberta Bernardi, Faculty of Social Sciences and Law, School of Economics, Finance and Management
  • Andy Boyd, Faculty of Health Sciences, Bristol Medical School, Population Health Sciences
  • Catherine Dampney, Director of BI Innovation & Transformation of the NHS South, Central and West Commissioning Support Unit
  • Rachel Denholm, Faculty of Health Sciences Bristol Medical School, Population Health Sciences
  • Peter Flach, Faculty of Engineering,Department of Computer Science
  • Tom Gaunt, Faculty of Health Sciences Bristol Medical School, Population Health Sciences
  • Philip Harfield, Faculty of Health Sciences, Bristol Medical School, Population Health Sciences
  • Andy Judge, Faculty of Health Sciences, Bristol Medical School, Translational Health Sciences
  • Jonathan Lawry, Faculty of Engineering, Department of Engineering Mathematics
  • Rupert Payne, Faculty of Health Sciences, Bristol Medical School, Population Health Sciences
  • Theresa Redaniel, Faculty of Health Sciences Bristol Medical School, Population Health Sciences
  • Gianluca Veronesi, Faculty of Social Sciences and Law, School of Management
  • Oliver Watson, Bristol Health Partners
  • Richard Wood, Head of Modelling and Analytics at the Clinical Commissioning Group, NHS 
  • Lucy Yardley, Faculty of Life Sciences, School of Psychological Science

Health Data Science website

 

Health Data Science Strand
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