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.


Upcoming Events

Details coming soon 


Funding

The Elizabeth Blackwell Institute Health Data Science research strand currently funds the following research projects:
 

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. 

Phil Clatworthy and Kate Robson Brown: Developing a scaleable stroke imaging and clinical database to facilitate artificial intelligence research, innovation and adoption.

Yvette Pyne and Edwin Simpson: Natural Language Processing of Primary Care Consultation Notes.

Mícheál Ó Breasail and Jonathan Rossiter: Embedded digital technologies to measure and modulate Life Space Mobility in older adults.


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

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

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
  • 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

Visit the Health Data Science website

Health Data Science hub

 

Health Data Science Strand
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