UK Health Informatics Research Network

英国健康信息学研究网络

• 批准号: MR/M501633/2
• 负责人: Harry Hemingway
• 金额: $ 253.88万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2014
• 资助国家: 英国
• 起止时间: 2014 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FM501633%2F2
• 关键词: UK; Health; Informatics; Research; Network

The primary aim of the UK Health Informatics Research Network ("Network") is to strengthen the UK's capability in health informatics research. It will achieve this by building inclusive partnerships, promoting co-ordination of key activities and acting as a signpost of best practice both in the UK and internationally. The Network will be led by the Farr Institute of Health Informatics Research ("Farr Institute") which is comprised of four nodes distributed across the UK and led from the University College London, University of Manchester, Swansea University, and the University of Dundee. In total the Farr Institute involves 24 UK academic institutions and two MRC units with expertise in health informatics research. It aims to deliver high-quality, cutting-edge research linking electronic health data with other forms of research and routinely collected data, as well as building capacity in health informatics research. The Network will be inclusive and harness expertise in the wider UK and where appropriate international research community; develop methodologies; share best practice; provide a central route for collaborating with industry, the NHS and policy; and engage with the public to promote wider debate about the use of health records in research. It will act as an open and dynamic forum to promote outstanding research. The Network and Farr Institute are not responsible for providing data, but will work with the data providers within the NHS, academia, industry and across the public sector to share and develop methodological approaches to using the data and sharing best practice. Together the Network and the Farr Institute aim to transform the landscape of health informatics in ways that will lead to significant health and economic benefits for the UK. In order to build the UK's capability in health informatics research, the UK Health Informatics Research Network will promote wide participation. Membership is open to all academic, government, NHS, public and private sector researchers and other professionals with an interest in health informatics from bona fide organisations. This will include colleagues from across all sectors who are involved in the provision, collection, analysis, management, control, and promotion of health and health-related data for approved research purposes. These individuals include, but are not limited to, computer scientists, software engineers, statisticians, healthcare providers, clinicians, ethicists, bio-informaticians, social scientists, and regulators. The objective of the Network is to make a significant global impact in seven key areas: ? Promoting cutting-edge inter-disciplinary research at scale? Providing an interface to promote collaboration between academia, industry and the NHS? Developing methodologies for the linkage and analysis of large data sets? Developing standards and best practice for interoperability across health and non-health related data sets? Coordinating training and career development opportunities? Developing dynamic and sustained ways of engaging with the public? Developing a coherent vision of health informatics research in the UK supporting the knowledge economy in a global context.

英国健康信息学研究网络（“网络”）的主要目的是加强英国在健康信息学研究方面的能力。它将通过建立包容性的伙伴关系，促进关键活动的协调，并在联合王国和国际上充当最佳做法的路标来实现这一目标。该网络将由法尔健康信息学研究所（“法尔研究所”）领导，该研究所由分布在英国各地的四个节点组成，由伦敦大学学院、曼彻斯特大学、斯旺西大学和邓迪大学领导。法尔研究所共有24个英国学术机构和两个MRC单位，在健康信息学研究方面具有专业知识。它旨在提供高质量的尖端研究，将电子健康数据与其他形式的研究和常规收集的数据联系起来，并建设健康信息学研究的能力。该网络将具有包容性，并利用更广泛的英国和适当的国际研究界的专业知识;开发方法;分享最佳实践;提供与行业，NHS和政策合作的中心路线;并与公众接触，以促进关于在研究中使用健康记录的更广泛的辩论。它将作为一个开放和充满活力的论坛，以促进杰出的研究。网络和法尔研究所不负责提供数据，但将与NHS，学术界，工业界和整个公共部门的数据提供者合作，分享和开发使用数据和分享最佳做法的方法。该网络和法尔研究所共同致力于改变健康信息学的格局，为英国带来重大的健康和经济利益。为了建立英国在卫生信息学研究方面的能力，英国卫生信息学研究网络将促进广泛的参与。会员资格是开放给所有学术，政府，NHS，公共和私营部门的研究人员和其他专业人士与健康信息学的兴趣从真正的组织。这将包括来自所有部门的同事，他们参与提供，收集，分析，管理，控制和促进用于批准研究目的的健康和健康相关数据。这些人包括但不限于计算机科学家、软件工程师、统计学家、医疗保健提供者、临床医生、伦理学家、生物信息学家、社会科学家和监管机构。该网络的目标是在七个关键领域产生重大的全球影响：大规模推进前沿跨学科研究？提供一个接口，以促进学术界，工业界和NHS之间的合作？为大型数据集的联系和分析制定方法？为卫生和非卫生相关数据集的互操作性制定标准和最佳做法？协调培训和职业发展机会？发展与公众接触的动态和可持续的方式？在英国发展健康信息学研究的一致愿景，支持全球背景下的知识经济。

项目成果

Monitoring indirect impact of COVID-19 pandemic on services for cardiovascular diseases in the UK.

监测 COVID-19 大流行对英国心血管疾病服务的间接影响。

• DOI: 10.1136/heartjnl-2020-317870
• 发表时间: 2020-12
• 期刊: Heart (British Cardiac Society)
• 作者: Ball S;Banerjee A;Berry C;Boyle JR;Bray B;Bradlow W;Chaudhry A;Crawley R;Danesh J;Denniston A;Falter F;Figueroa JD;Hall C;Hemingway H;Jefferson E;Johnson T;King G;Lee KK;McKean P;Mason S;Mills NL;Pearson E;Pirmohamed M;Poon MTC;Priedon R;Shah A;Sofat R;Sterne JAC;Strachan FE;Sudlow CLM;Szarka Z;Whiteley W;Wyatt M;CVD-COVID-UK Consortium
• 通讯作者: CVD-COVID-UK Consortium

Public responses to the sharing and linkage of health data for research purposes: a systematic review and thematic synthesis of qualitative studies.

• 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

Bell's Palsy in Children (BellPIC): protocol for a multicentre, placebo-controlled randomized trial.

• DOI: 10.1186/s12887-016-0702-y
• 发表时间: 2017-02-13
• 期刊: BMC pediatrics
• 影响因子: 2.4
• 作者: Babl FE;Mackay MT;Borland ML;Herd DW;Kochar A;Hort J;Rao A;Cheek JA;Furyk J;Barrow L;George S;Zhang M;Gardiner K;Lee KJ;Davidson A;Berkowitz R;Sullivan F;Porrello E;Dalziel KM;Anderson V;Oakley E;Hopper S;Williams F;Wilson C;Williams A;Dalziel SR;PREDICT (Paediatric Research In Emergency Departments International Collaborative) research network
• 通讯作者: PREDICT (Paediatric Research In Emergency Departments International Collaborative) research network

Consensus Statement on Public Involvement and Engagement with Data Intensive Health Research.

• DOI: 10.23889/ijpds.v4i1.586
• 发表时间: 2019-02-12
• 期刊: International journal of population data science
• 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

Public Preferences regarding Data Linkage for Health Research: A Discrete Choice Experiment.

• DOI: 10.23889/ijpds.v3i1.429
• 发表时间: 2018-06-26
• 期刊: International journal of population data science
• 作者: Aitken, Mhairi;McAteer, Gareth;Cunningham-Burley, Sarah
• 通讯作者: Cunningham-Burley, Sarah