Thursday 5 June 2014
Royal Society of Medicine
1 Wimpole Street
6 CPD points
Big health data may be the biggest contribution to improved health in the 21st century or simply the latest IT buzzword. It is a product of the digital data revolution, fuelled by the burgeoning of patient data from the NHS, social networks and media, and personal health monitoring.
The NHS 'care.data' project will eventually collect data from NHS GPs on the 300m patient consultations, 900m prescriptions and 100m hospital contacts per year
The NHS genomics project will collect data from 100k patients and use the data to support the ability to predict future health problems. This data, when combined with social media data and personal health data, will form a mass with unprecedented volume, variety and velocity of growth rate. Novel Information links may provide the key to managing the current problems of unlimited demand and limited resources. Intelligent insights into disease patterns may provide novel methods of prevention and treatment.
The challenge for the NHS in addressing how to use and analyse this data will be addressed by the Conference speakers, and the varied audience from the NHS, Industry, academia, Public Health and the International scene.
This meeting will cover the what big health data is, how it is/can be used and why. It will offer insights into its human and technical aspects, and look at the potential for use and abuse of this 21st century Pandora's box.
Registration, tea and coffee
Welcome and introduction
Dr Nicholas Robinson, President Elect, Telemedicine & eHealth Section, Royal Society of Medicine
Keynote: Primary care - primary source of UK big data?
Dr Ralph Sullivan, Chair, Health Informatics Group, Royal College of General Practitioners
What is big data? How can we analyse it?
Dr Allan Tucker, Senior Lecturer, School of Information Systems, Computing & Mathematics, Brunel University, London
Tea and coffee break
Can we establish causality using big data in healthcare? Some biases and potential solutions
Professor Jeremy Wyatt , Leadership Chair in eHealth Research (Health Informatics), University of Leeds
Use and abuse of big health data
Professor Brian Jarman, Emeritus Professor, Faculty of Medicine, School of Public Health, Imperial College London
Mining GP written data
Professor John Carroll, Professor of Computational Linguistics, Department of Informatics, University of Sussex
Beyond big health data
Dr Justin Whatling, Senior Director Strategic Consulting, Population Health, Cerner Corporation
Genomics and big data for diagnosis
Professor Susan Hill, Chief Scientific Officer, NHS England and Dr Chris Gibson, Scientific Director, NHS South of England (Central)
Releasing value from international big data
Mr Ben Kaner, Chief Rechnology Officer, Global Health, BT Global Services
Public health risk assessment and big data
Professor Bill Maton-Howarth, Public Health Advisor, South East Health Technologies Alliance (SEHTA) and Dr Chakib Kara-Zaitri, Senior Lecturer in Risk and Reliability, University of Bradford
Tea and coffee break
Big health data and clinical diagnosis: IBM Watson
Mr Rob Smith, IBM(UK) Consultant, Watson Program Director and Mr Andy Collett, IBM Healthcare
Dark data and weakly interacting massive providers (WIMPS)
Dr Michael Tremblay, Director, Cassis Ltd
Care.data improving care and protecting citizens
Ms Eve Roodhouse, Programme Director, Health and Social Care Information Centre
Completion of evaluation forms and close of meeting
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For information on this event, contact Kiesha LewisTel: 02072903947 Fax: 02072902989 Email: email@example.com