MICA: The Scottish eHealth Informatics Research Centre
MICA: The Scottish eHealth Informatics Research Centre
批准号:
MR/K007017/1
负责人:
Andrew Morris
金额:
$513.83万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --
中文摘要
英国拥有世界上最好的医疗服务数据。这在苏格兰尤其如此,20世纪70年代一项简单而有远见的决定意味着,在苏格兰(人口500万),每个在全科医生(GP)注册的人都会从一个名为社区健康指数(CHI)的中央登记簿中分配一个唯一的识别号码。它是连接健康数据以改善NHS向患者提供的沟通和护理质量的关键。这对健康研究也至关重要,这些研究旨在提高我们对如何有效地运行卫生服务的理解;如何更有效地治疗患者;我们的基因组成和环境之间的密切联系如何相互作用以引起疾病,以及如何更有效地测试新药的安全性和益处。我们有这样做的跟踪记录;例如,使用常规信息,苏格兰的研究人员表明,在公共场所实施禁烟令导致5-15岁儿童哮喘的紧急入院率每年减少18%;并显示了长期的安全性,通常使用几十年来收集的信息,苏格兰电子健康研究中心的目标是通过将苏格兰和英国的一组研究人员聚集在一起,以联合战略的方式,在这些现有优势的基础上再接再厉。这包括科学、公共卫生、临床试验、法律、药物安全、法律、社会科学、地理和环境方面的专家。我们的目标是更好地利用高质量的财富,定期收集的健康数据和其他数据集,以回答世纪医学面临的一些紧迫问题。如果我们要做到这一点,首要任务是通过实施最高标准的安全和治理来维护保密性和隐私,以维护公众的信任。因此,我们的中心不仅将进行尖端研究,并培训我们需要分析这些大型数据集的下一代研究人员和计算机科学家,并会广泛谘询公众意见,以制订一套可接受的方法,使用电子病历。我们的中心旨在展示临床,遗传,公共卫生和卫生服务研究的巨大利益,同时部署最高标准的尊重信息的保密性。更好地利用常规收集的数据,将导致国家健康的实质性改善。该中心不仅将产生新的知识,而且还将增加社会的健康和财富。
英文摘要
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.
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DOI:
10.1186/s12910-016-0153-x
发表时间:
2016-11-10
期刊:
BMC medical ethics
影响因子:
2.7
作者:
[Aitken M, de St Jorre J, Pagliari C, Jepson R, Cunningham-Burley S]
通讯作者:
Cunningham-Burley S
DOI:
10.1093/scipol/scv075
发表时间:
2016-10
期刊:
Science & public policy
影响因子:
2.7
作者:
[Aitken M, Cunningham-Burley S, Pagliari C]
通讯作者:
Pagliari C
DOI:
10.23889/ijpds.v4i1.586
发表时间:
2019-02-12
期刊:
International journal of population data science
影响因子:
--
作者:
[Aitken M, Tully MP, Porteous C, Denegri S, Cunningham-Burley S, Banner N, Black C, Burgess M, Cross L, van Delden JJ, Ford E, Fox S, Fitzpatrick NK, Gallacher K, Goddard C, Hassan L, Jamieson R, Jones KH, Kaarakainen M, Lugg-Widger F, McGrail K, McKenzie A, Moran R, Murtagh MJ, Oswald M, Paprica A, Perrin N, Richards EV, Rouse J, Webb J, Willison DJ]
通讯作者:
Willison DJ
DOI:
10.23889/ijpds.v3i1.429
发表时间:
2018-06-26
期刊:
International journal of population data science
影响因子:
--
作者:
[Aitken, Mhairi, McAteer, Gareth, Cunningham-Burley, Sarah]
通讯作者:
Cunningham-Burley, Sarah
DOI:
10.1177/2053951718816724
发表时间:
2018-12-06
期刊:
BIG DATA & SOCIETY
影响因子:
8.5
作者:
[Aitken, Mhairi, Porteous, Carol, Cunningham-Burley, Sarah]
通讯作者:
Cunningham-Burley, Sarah
Harnessing the power of diverse populations to empower clinical translation of genome-wide association studies of common human disease
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批准号:MR/W029626/1
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项目类别:Research Grant
-
资助金额:$53.16万
-
财政年份:2023
-
负责人:Andrew Morris
-
依托单位:
Novel statistical methods for transcriptomic imputation to enhance understanding of causal mechanisms underlying human diseases
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批准号:MR/V020749/1
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项目类别:Research Grant
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资助金额:$57.45万
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财政年份:2022
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负责人:Andrew Morris
-
依托单位:
UKRI trusted and connected Data and Analytics Research Environments, Phase 1
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批准号:MC_PC_21005
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项目类别:Intramural
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资助金额:$370.25万
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财政年份:2021
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负责人:Andrew Morris
-
依托单位:
Population Research UK Phase 1: Partnership Design & Dialogue
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批准号:MC_PC_20024
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项目类别:Intramural
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资助金额:$76.45万
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财政年份:2021
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负责人:Andrew Morris
-
依托单位:
Phase 1 COVID-19 Data and Connectivity – National Core Study (Phase 1 D&C-NCS)
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批准号:MC_PC_20058
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项目类别:Intramural
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资助金额:$1936.78万
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财政年份:2021
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负责人:Andrew Morris
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依托单位:
COVID-19: Data and Connectivity – National Core Study (D&C-NCS)
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批准号:MC_PC_20029
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项目类别:Intramural
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资助金额:$1048.67万
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财政年份:2020
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负责人:Andrew Morris
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依托单位:
Baskerville: a national accelerated compute resource
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批准号:EP/T022221/1
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项目类别:Research Grant
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资助金额:$665.86万
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财政年份:2020
-
负责人:Andrew Morris
-
依托单位:
UKRI ISCF DIH Programme Phase 3– Innovation Gateway, Health Data Research Hubs, and UK Health Data Research Alliance
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批准号:MC_PC_19002
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项目类别:Intramural
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资助金额:$1183.73万
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财政年份:2019
-
负责人:Andrew Morris
-
依托单位:
Open KE Fellowship: Translation of a Miniature CT-DO Sensor from the Laboratory to Real World Applications
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批准号:NE/S006451/2
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项目类别:Research Grant
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资助金额:$13.16万
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财政年份:2019
-
负责人:Andrew Morris
-
依托单位:
Open KE Fellowship: Translation of a Miniature CT-DO Sensor from the Laboratory to Real World Applications
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批准号:NE/S006451/1
-
项目类别:Research Grant
-
资助金额:$19.67万
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财政年份:2018
-
负责人:Andrew Morris
-
依托单位:
Health Data Research UK - CORE Funds
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批准号:HDR-CORE
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项目类别:Intramural
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资助金额:$6721.04万
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财政年份:2018
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负责人:Andrew Morris
-
依托单位:
New modelling capability for nano-confined phase change materials
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批准号:EP/M011925/2
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项目类别:Research Grant
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资助金额:$9.35万
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财政年份:2018
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负责人:Andrew Morris
-
依托单位:
discover Edinburgh Health Informatics
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批准号:MC_PC_15053
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项目类别:Intramural
-
资助金额:$19.11万
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财政年份:2016
-
负责人:Andrew Morris
-
依托单位:
New modelling capability for nano-confined phase change materials
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批准号:EP/M011925/1
-
项目类别:Research Grant
-
资助金额:$41.77万
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财政年份:2015
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负责人:Andrew Morris
-
依托单位:
Improving Safety for Older Public Transport Users
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批准号:G1001863/1
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项目类别:Research Grant
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资助金额:$31.72万
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财政年份:2011
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负责人:Andrew Morris
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依托单位:
BBSRC Industrial CASE Partnership Grant
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批准号:BB/I532745/1
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项目类别:Training Grant
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资助金额:$10.38万
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财政年份:2010
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负责人:Andrew Morris
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依托单位:
海外基金