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UK funding (£4,032,595): MICA: The Scottish eHealth Informatics Research Centre Ukri1 Mar 2013 UK Research and Innovation, United Kingdom

Overview

Text

MICA: The Scottish eHealth Informatics Research Centre

Abstract The United Kingdom has some of the best health service data in the world. This is particularly true in Scotland, where a simple and far-sighted decision in the 1970's means that every person registered with a general practitioner (GP) in Scotland (population 5 million) is allocated a unique identifying number from a centrally maintained register called the Community Health Index (CHI). It is the key to linking health data to improve communication and the quality of care that the NHS delivers to patients. It is also vital for health research that aims to improve our understanding of how to run health services efficiently; how to treat patients more effectively; how the intimate links between our genetic make-up and the environment interact to cause disease, and how to test the safety and benefit of new medicines more effectively. We have a track record of doing this; for example, using routine information, researchers in Scotland showed that the introduction of the smoking ban in public places resulted in a reduction in emergency admissions for asthma in children aged 5-15 by 18% per annum; and have shown the long term safety, often using information collected over decades, of drugs for the treatment of many common diseases such as diabetes and heart disease. The aim of the Scottish eHealth Research Centre is to build upon these existing strengths, by bringing together a group of researchers across Scotland and the UK in a joined-up strategy. This includes experts in science, public health, clinical trials, the law, safety of medicines, the law, social science, geography and the environment. Our aim is to make better use of the wealth of good quality, routinely collected health data and other datasets, to answer some of the pressing questions facing 21st Century medicine. The number one priority if we are to do this is to maintain confidentiality and privacy by implementing the highest standards of security and governance to maintain public trust. Our Centre will therefore not only perform cutting edge research and train the next generation of researches and computer scientists that we will require to analyse these large datasets, but will also consult widely with the public to develop an acceptable approach to the use of electronic patient records. Our Centre aims to demonstrate enormous benefit for clinical, genetic, public health and health services research whilst deploying the highest standards of respect for confidentiality of information. Better use of routinely collected data, will result in substantial improvements in the health of the nation. The Centre will not only produce new knowledge but also increase the health and wealth of society.
Category Research Grant
Reference MR/K007017/1
Status Closed
Funded period start 01/03/2013
Funded period end 31/12/2018
Funded value £4,032,595.00
Source https://gtr.ukri.org/projects?ref=MR%2FK007017%2F1

Participating Organisations

University of Dundee
Medical Research Council (MRC)
Linkoping University
Scottish Third Sector Research Forum (TSRF)
Canadian Institutes of Health Research
Indian Institute of Management, Bangalore
NHS LOTHIAN
Evaluation Support Scotland
University of Ottawa
UNIVERSITY OF STRATHCLYDE
Bradford Institute for Health Research (BIHR)
MQ Mental Health Research
Federal University of Minas Gerais
Energy Saving Trust
NHS Scotland
Ifakara Health Institute
UK and Scottish Renal Registries
University of Stirling
UNIVERSITY OF NAIROBI
McGill University
Administrative Data Research Centre for Scotland
NHS Greater Glasgow and Clyde (NHSGGC)
Census & Administrative Data Longitudinal Studies Hub (CALLS-Hub)
Sefako Makgatho Health Sciences University
University of California, Los Angeles (UCLA)
Ottawa Hospital Research Institute
Cayetano Heredia University
UNIVERSITY OF EXETER
UNIVERSITY OF OXFORD
Kerman University of Medical Sciences
Farr Institute of Health Informatics Research
Scottish Association for Mental Health
NHS Health Scotland
University of Toronto
UK Renal Data Collaboration
UNIVERSITY OF BRITISH COLUMBIA
University of Montreal
University of Glasgow
University of Aberdeen
University of St Andrews
University of Strathclyde
Servier International Research Institute
Aridhia
University of Edinburgh

The filing refers to a past date, and does not necessarily reflect the current state. The current state is available on the following page: University of Dundee, Dundee.

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