The UK Health Data Analytics Network (UK-HDAN)

The UK-HDAN research roadmap is a working document which has been created using output gathered from the Inaugural and Research Roadmap Workshops, the Industry Engagement Workshops and the network Survey. The Roadmap will provide funders, particularly EPSRC, with a clear statement of the research challenges and opportunities within health data analytics, and will provide an important framework from which to continue the dialogue with key stakeholders. 

Details of upcoming UK-HDAN events will be posted here shortly. 

UK-HDAN has over 535 members from 110 Higher Education Institutes, NHS, Industry & Funding Organisations, including:

AIDA Technology	Engineering & Physical Sciences Research Council (EPSRC)	Mede Analytics	Ramsey Systems	University of Cambridge
The Alan Turing Institute	Ethos Parnership	Medical Research Council (MRC)	Saddlepoint Science	University of Cardiff
Alliance of Technology and Science Specialists	European Space Agency	Middlesex University London	Science and Technology Facilities Council	University of Dundee
Analytics Engines	Francis Crick Institute	MRC Biostatistics Unit	Scottish Government	University of Edinburgh
Apollo Medical Systems Ltd	Future Cities Catapult	Mumo Active	Stockport Council	University of Essex
Appello	Greater Manchester Academic Health Science Network	My Cognition	Swansea University	University of Glasgow
Aridhia	Hartree Centre	NHiS Ltd	System C Healthcare	University of Kent
AstraZeneca (Macclesfield)	Healthcare Evaluation Data	NHS	Telensa	University of Kingston
Bering Research Ltd	Heriot Watt University	NHS Lanarkshire	The Centre for Process Innovation (CPI)	University of Lancaster
Blackburn Council	HMA Digital Marketing	NHS Lothian	The Open University	University of Leeds
Brighton & Sussex Medical School	i5health	NHS Scotland	The University of Birmingham	University of Leicester
Brunel University	Imperial College London (University of London)	NIHR Greater Manchester Comprehensive Local Research Network (GM CLRN)	The University of Edinburgh	University of Liverpool
Cambridge University Hospitals NHS Foundation Trust	IMS Health	North West eHealth	The University of Manchester	University of Loughborough
Cardiff University	Intelesant	Nottingham University Hospital NHS Trust	The University of Nottingham	University of Newcastle Upon Tyne
Cascade3D	Joint Information Systems Committee (JISC)	OCF Ltd	The University of Strathclyde	University of Nottingham
Checkware	King's College London (University of London)	OpenClinical	The University of Warwick	University of Oxford
Converging Data	Kingston University	Oxford Biodesign	The University of York	University of Southampton
Coventry University	Kokomo	Oxford Brookes	Tilburg University	University of Ulster
CS Integration	Lancashire Council	Pespectum Diagnostics	TPP UK	University of warwick
Data Burrowing Solutions	Leeds Beckett University	PHG Foundation	UCL	University of Worcester
Deep Cognito	Lexmark	Philips	University College London Hospitals NHS Foundation Trust	University of York
Digital Health and Care Alliance	London School of Hygiene & Tropical Medicine	Quadram Institute	University of Aberdeen	Voluntis
Digital Health Institute	Manchester Metropolitan University	Quaenam Ltd	University of Bath	Wigan Metropolitan Borough Council
DOCC NHS	Manchester Science Parks (msp)	Queen's University Belfast	University of Bradford	Withings
Economic & Social Research Council (ESRC)	MDSAS	Quortex	University of Bristol	Yaidoo Ltd

Professor Chris Taylor (University of Manchester)

Chris leads the UK Health Data Analytics Network, is Director of Digtial Futures and Associate Vice President for Research at the University of Manchester. 

He has has been a leading figure in health informatics in the UK for over 15 years. He chaired the UK Foresight Programme working party on health informatics and was awarded an OBE in 2000 in recognition of his services to Health and Foresight. Chris also leads the NewMind Plus Network and the GM Connected Health Ecosystem which brings together health & community care providers, Universities, local government social care providers and commissioners, the local clinical research network, major international companies & SMEs in a permanent partnership to accelerate the adoption of Connected Health solutions in Greater Manchester.

Chris has also been at the forefront computer vision research for over 35 years with some of the most highly cited publications in the field and a strong record in technology transfer. He founded one of the world’s leading multidisciplinary research centres in computer vision and medical image analysis. Chris is a Distinguished Fellow of the British Machine Vision Association, International Association for Pattern Recognition and Medical Image Computing and Computer-Aided Intervention Society. He was elected a Fellow of the Royal Academy of Engineering in 2006

Professor Ann Blandford (UCL)

Ann Blandford is Professor of Human–Computer Interaction (HCI) at UCL, Director of UCL Institute of Digital Health and Chair of the UK Computing Research Committee (UKCRC). Following a degree in mathematics, she started her career in industry, as a software engineer, but soon moved into academia, where she developed a focus on the use and usability of computer systems. She leads research projects studying health technology design, patient safety and user experience, with a focus on situated interactions. This has included programmes of research on making medical devices safer (CHI+MED) and on understanding practices in intravenous medication administration (ECLIPSE), focusing particularly on the design of infusion devices, the broader systems of practice within which they are used, and how these impact on patient safety.

She also leads research on how health technologies can be designed to support citizen engagement, for health management (e.g. sexual health) and wellness (e.g. physical activity and diet). She has over 200 international, peer-reviewed publications, and also Synthesis Lectures on “Interacting with Information” and on Qualitative research in HCI

Professor David Hogg (University of Leeds)

David is Professor of Computer Vision and Machine Learning at the University of Leeds. Following the completion of his PhD at the University of Sussex, he remained at Sussex for several years, looking at a variety of AI and computer vision problems and co-authoring the AI textbook “Computers and Thought”. Professor Hogg has previously worked head of the division of artificial intelligence. The group at Leeds went from strength to strength under his leadership, with hundreds of influential publications in the succeeding years. In 2000, he took on the role of Pro-vice-chancellor at Leeds, and spent four years in university administration which marked by further expansion of the Leeds group, and he co-chaired CVPR 2010. He continues to devote considerable time to his role as one of Leeds's three Pro-Vice-Chancellors: his office being responsible for Research and Innovation, promoting the University's research agenda.

Professor Dave Robertson (University of Edinburgh)

Dave is a Fellow of the British Computing Society and chairs the executive of the UK Computing Research Committee (the expert panel of BCS and IET). He is a member of the EPSRC Strategic Advisory Team for ICT and of the MRC Population Health Sciences advisory group; is on the Industry Advisory Board for Innovate UK’s ICT programme and is a member of the management boards for the Scottish Innovation Centres in Digital Healthcare and Data Science.

Dr Lydia Drumright (University of Cambridge)

Lydia is University Lecturer of Clinical Informatics in the Department of Medicine at the University of Cambridge. Within Cambridge Clinical Informatics, she directs the science and research activities, and facilitates expansion of the Centre through collaborations and securing external funding. Dr Drumright received her Bachelors of Science in Biochemistry and Cellular Biology at the University of California, San Diego (UCSD), where she engaged in molecular biology and human and pathogen genomics within the Department of Psychiatry and at the Salk Institute. Following her undergraduate training and significant involvement in laboratory research focus on pathways of disease in humans, Dr Drumright went on to received a Masters in Public Health (MPH) in Health Education and Community Health. During her Masters, Dr Drumright gained hands-on experience in community outreach, mobilisation and behavioural interventions. She interned with Los Angeles County Department of Health and Human Services, where she learned how research could be transformed into public health practice through policy. In 2006, Dr Drumright received her PhD in Public Health in Infectious Diseases Epidemiology jointly from the Department of Medicine at UCSD and the Graduate School of Public Health at San Diego State University, where her research focused on sexually transmitted infections, HIV and hepatitis C infections in clinical and community settings.

The diversity of Dr Drumright’s training is also reflected in her career path where she has had the opportunity to conduct research in a multitude of settings, on a variety of health problems, across multiple countries. She has conducted both within the US and UK, as well as other countries, and within the UK worked within and with PHE and Imperial College London and the Imperial College Healthcare NHS Trust.

Professor Niels Peek (University of Manchester/ HeRC)

Niels is Professor of Health Informatics at the MRC Health eResearch Centre for North England (www.herc.ac.uk), University of Manchester and Director of GM Connected Health City.  His background is in Computer Science and Artificial Intelligence. After completing his PhD he worked at the Department of Medical Informatics of the Academic Medical Center in Amsterdam, the Netherlands. He has co-authored over 100 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. From 2003 to 2014, he has led a large initiative on quality improvement in cardiac rehabilitation in the Netherlands (called CARDSS), which involved a collaboration between more than 30 hospitals, the Dutch patients’ organization for cardiovascular disorders, a large number of professional societies, several academic research groups and three healthcare IT companies. He has also co-organized international workshops on intelligent data analysis in biomedicine in 2005, 2006, and 2011, and he is the president of the Society for Artificial Intelligence in Medicine (AIME) which organizes an international conference on that topic every two years.

Professor Mihaela van der Schaar (University of Oxford/ Alan Turing Institute)

Mihaela van der Schaar is Man Professor of Quantitative Finance in the Oxford – Man Institute of Quantitative Finance (OMI) and the Department of Engineering Science at Oxford, Fellow of Christ Church College and Faculty Fellow of the Alan Turing Institute [Link], London . Mihaela's research interests and expertise are in machine learning, data science and decisions for a better planet. In particular, she is interested in developing machine learning and decision theory for finance, medicine and personalized education. She also has research interests and expertise in game theory and applications, and in social, economic and biological networks. She leads the Data Science and Decisions Research Group.

If you would like to publish an opportunity on our website, please contact digitalfutures@manchester.ac.uk

At the Inaugural & Research Roadmap Workshops, the UK-HDAN has used the Well Sorted facilitation tool created by academics at Heriot Watt University.

This tool has allowed us to plan workshops in advance with the help of input from delegates. In advance of the Research Roadmap Workshop, we asked out attendees to input one idea to the following prompt; What key broader issue do you think needs to be considered if the impact of health data analytics research on health and social care delivery is to be maximised?

After attendees had input their ideas they were then asked to sort everyone elses into as many groups as they liked. The only thing we asked was that each group contained items which were related/connected/similar in some way.

The outcome of this sort determined seven breakout groups who discussed similar ideas that had been grouped together. A tree map visualisation of these groups can be seen here. Groups discussed their topic areas for one hour and then gave 60 second elevator pitched of the three most important areas that came out of their discussions.

If you would be interested in using the Well Sorted facilitation tool please visit their website here.