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Connected Bradford: a Whole System Data Linkage Accelerator
The richness of linked population data provides exciting opportunities to understand local health needs, identify and predict those in most need of support and evaluate health interventions. There has been extensive investment to unlock the potential of clinical data for health research in the UK. H...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682213/ https://www.ncbi.nlm.nih.gov/pubmed/36466951 http://dx.doi.org/10.12688/wellcomeopenres.17526.2 |
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author | Sohal, Kuldeep Mason, Dan Birkinshaw, John West, Jane McEachan, Rosemary R.C. Elshehaly, Mai Cooper, Duncan Shore, Rob McCooe, Michael Lawton, Tom Mon-Williams, Mark Sheldon, Trevor Bates, Chris Wood, Megan Wright, John |
author_facet | Sohal, Kuldeep Mason, Dan Birkinshaw, John West, Jane McEachan, Rosemary R.C. Elshehaly, Mai Cooper, Duncan Shore, Rob McCooe, Michael Lawton, Tom Mon-Williams, Mark Sheldon, Trevor Bates, Chris Wood, Megan Wright, John |
author_sort | Sohal, Kuldeep |
collection | PubMed |
description | The richness of linked population data provides exciting opportunities to understand local health needs, identify and predict those in most need of support and evaluate health interventions. There has been extensive investment to unlock the potential of clinical data for health research in the UK. However, most of the determinants of our health are social, economic, education, environmental, housing, food systems and are influenced by local authorities. The Connected Bradford Whole System Data Linkage Accelerator was set up to link health, education, social care, environmental and other local government data to drive learning health systems, prevention and population health management. Data spanning a period of over forty years has been linked for 800,000 individuals using the pseudonymised NHS number and other data variables. This prospective data collection captures near real time activity. This paper describes the dataset and our Connected Bradford Whole System Data Accelerator Framework that covers public engagement; practitioner and policy integration; legal and ethical approvals; information governance; technicalities of data linkage; data curation and guardianship; data validity and visualisation. |
format | Online Article Text |
id | pubmed-9682213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-96822132022-12-01 Connected Bradford: a Whole System Data Linkage Accelerator Sohal, Kuldeep Mason, Dan Birkinshaw, John West, Jane McEachan, Rosemary R.C. Elshehaly, Mai Cooper, Duncan Shore, Rob McCooe, Michael Lawton, Tom Mon-Williams, Mark Sheldon, Trevor Bates, Chris Wood, Megan Wright, John Wellcome Open Res Open Letter The richness of linked population data provides exciting opportunities to understand local health needs, identify and predict those in most need of support and evaluate health interventions. There has been extensive investment to unlock the potential of clinical data for health research in the UK. However, most of the determinants of our health are social, economic, education, environmental, housing, food systems and are influenced by local authorities. The Connected Bradford Whole System Data Linkage Accelerator was set up to link health, education, social care, environmental and other local government data to drive learning health systems, prevention and population health management. Data spanning a period of over forty years has been linked for 800,000 individuals using the pseudonymised NHS number and other data variables. This prospective data collection captures near real time activity. This paper describes the dataset and our Connected Bradford Whole System Data Accelerator Framework that covers public engagement; practitioner and policy integration; legal and ethical approvals; information governance; technicalities of data linkage; data curation and guardianship; data validity and visualisation. F1000 Research Limited 2022-11-07 /pmc/articles/PMC9682213/ /pubmed/36466951 http://dx.doi.org/10.12688/wellcomeopenres.17526.2 Text en Copyright: © 2022 Sohal K et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Open Letter Sohal, Kuldeep Mason, Dan Birkinshaw, John West, Jane McEachan, Rosemary R.C. Elshehaly, Mai Cooper, Duncan Shore, Rob McCooe, Michael Lawton, Tom Mon-Williams, Mark Sheldon, Trevor Bates, Chris Wood, Megan Wright, John Connected Bradford: a Whole System Data Linkage Accelerator |
title | Connected Bradford: a Whole System Data Linkage Accelerator |
title_full | Connected Bradford: a Whole System Data Linkage Accelerator |
title_fullStr | Connected Bradford: a Whole System Data Linkage Accelerator |
title_full_unstemmed | Connected Bradford: a Whole System Data Linkage Accelerator |
title_short | Connected Bradford: a Whole System Data Linkage Accelerator |
title_sort | connected bradford: a whole system data linkage accelerator |
topic | Open Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9682213/ https://www.ncbi.nlm.nih.gov/pubmed/36466951 http://dx.doi.org/10.12688/wellcomeopenres.17526.2 |
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