The current model of healthcare delivery in the UK is subject to unprecedented challenges. An ageing population, the impact of lifestyle factors and increasing costs mean that the existing approaches may become unsustainable. This, coupled with a drive towards personalised medicine, presents an opportunity for a step change in healthcare delivery. To do this, we need to make best use of the health data we collect and create a better understanding of the relationship between treatments, outcomes, patients and costs.

Lead Researchers:

Professor John Ainsworth

John Ainsworth is professor of health informatics at the University of Manchester where he is also Director of the Centre for Health Informatics. He is also Deputy Director of the MRC Health eResearch Centre, part of the Farr Institute and is the Director of the Connected Health Cities Coordinating Centre. John works at the intersection of information technology and healthcare research focusing on applying information technology to improving health care and includes: harnessing computing technology to enhance data science, using information technology to improve health services and applying emerging computing technologies to create novel interventions.




Professor Niels Peek

Niels is Professor of Health Informatics at the MRC Health eResearch Centre for North England and the Director of the Greater Manchester Connected Health City. He has co-authored over 150 scientific publications in health informatics, artificial intelligence, and epidemiology. His research focuses on improving quality and safety of healthcare using methods and tools from the fields of informatics, statistics and artificial intelligence. He is former President of the Society for Artificial Intelligence in Medicine (AIME). In April 2017, he organised the Informatics for Health 2017 conference in Manchester which was attended by more than 800 people from 30 countries.



Professor Tjeerd van Staa

Tjeerd is a Professor of Health Informatics at the MRC Health eResearch Centre for North England. His current research activities concern randomised trials that use routinely collected data (such as electronic health records). These trials can either randomise patients or practices to different interventions (the latter are known are known as cluster trials). These types of trials could help to answer questions around routinely used interventions and should be conducted with minimal impact on clinicians and patients. Other research activities concern multidatabase research and analysis of quality of electronic health records.




Professor Katherine Payne

Katherine is a Professor of Health Economics at the University of Manchester. Based in the Manchester Centre for Health Economics, established in August 2012, she is now leading a research group that focuses on the evaluation and valuation of genomic technologies and stratified medicine. Ongoing and recent projects include: evaluation of information provision and models of informed consent in bloodspot newborn screening programmes; identifying and costing pathways of care for people with ataxia; building economic model to identify the most appropriate interval for breast cancer screening; preliminary economic evaluation of high-throughput whole genome sequencing technologies; towards HTA of whole genome sequencing and economic evaluation of risk stratified breast screening programmes.

Dr Matthew Sperrin

Matthew is a Senior Lecturer in Health Data Science in the Centre for Health Informatics, which is the centre of the Health e-Research Centre, the northern node of the Farr Institute. He researches new statistical methodology to make inference with observational health data, collaborating closely with clinicians, epidemiologists, health informaticians, software engineers and statisticians. His research can be categorised in three areas: Understanding the observation process, Inferring trends and patterns from data and Making predictions and decisions.


Health eResearch Centre

The University of Manchester is an internationally esteemed centre for research and education in population health and health sciences. Within the University sits the Health eResearch Centre...

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Bio-Health Informatics

The Bio-Health Informatics group from the School of Computer Science combines biological and genetic information with clinical data and computer information systems. Our work optimises the use of...

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Centre for Biostatistics

The Centre for Biostatistics is part of the Division of Population Health, Health Services Research and Primary Care in the School of Health Sciences, in the Faculty of Biology, Medicine and Health.

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