Cargando…

Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration

BACKGROUND: The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations. Beyond COVID-19, data harmonisation and common approaches enable analysis within...

Descripción completa

Detalles Bibliográficos
Autores principales: Abbasizanjani, Hoda, Torabi, Fatemeh, Bedston, Stuart, Bolton, Thomas, Davies, Gareth, Denaxas, Spiros, Griffiths, Rowena, Herbert, Laura, Hollings, Sam, Keene, Spencer, Khunti, Kamlesh, Lowthian, Emily, Lyons, Jane, Mizani, Mehrdad A., Nolan, John, Sudlow, Cathie, Walker, Venexia, Whiteley, William, Wood, Angela, Akbari, Ashley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842203/
https://www.ncbi.nlm.nih.gov/pubmed/36647111
http://dx.doi.org/10.1186/s12911-022-02093-0
_version_ 1784870057006858240
author Abbasizanjani, Hoda
Torabi, Fatemeh
Bedston, Stuart
Bolton, Thomas
Davies, Gareth
Denaxas, Spiros
Griffiths, Rowena
Herbert, Laura
Hollings, Sam
Keene, Spencer
Khunti, Kamlesh
Lowthian, Emily
Lyons, Jane
Mizani, Mehrdad A.
Nolan, John
Sudlow, Cathie
Walker, Venexia
Whiteley, William
Wood, Angela
Akbari, Ashley
author_facet Abbasizanjani, Hoda
Torabi, Fatemeh
Bedston, Stuart
Bolton, Thomas
Davies, Gareth
Denaxas, Spiros
Griffiths, Rowena
Herbert, Laura
Hollings, Sam
Keene, Spencer
Khunti, Kamlesh
Lowthian, Emily
Lyons, Jane
Mizani, Mehrdad A.
Nolan, John
Sudlow, Cathie
Walker, Venexia
Whiteley, William
Wood, Angela
Akbari, Ashley
author_sort Abbasizanjani, Hoda
collection PubMed
description BACKGROUND: The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations. Beyond COVID-19, data harmonisation and common approaches enable analysis within and across independent Trusted Research Environments. Here we describe the reproducible harmonisation method developed using large-scale EHRs in Wales to accommodate the fast and efficient implementation of cross-nation analysis in England and Wales as part of the CVD-COVID-UK programme. We characterise current challenges and share lessons learnt. METHODS: Serving the scope and scalability of multiple study protocols, we used linked, anonymised individual-level EHR, demographic and administrative data held within the SAIL Databank for the population of Wales. The harmonisation method was implemented as a four-layer reproducible process, starting from raw data in the first layer. Then each of the layers two to four is framed by, but not limited to, the characterised challenges and lessons learnt. We achieved curated data as part of our second layer, followed by extracting phenotyped data in the third layer. We captured any project-specific requirements in the fourth layer. RESULTS: Using the implemented four-layer harmonisation method, we retrieved approximately 100 health-related variables for the 3.2 million individuals in Wales, which are harmonised with corresponding variables for > 56 million individuals in England. We processed 13 data sources into the first layer of our harmonisation method: five of these are updated daily or weekly, and the rest at various frequencies providing sufficient data flow updates for frequent capturing of up-to-date demographic, administrative and clinical information. CONCLUSIONS: We implemented an efficient, transparent, scalable, and reproducible harmonisation method that enables multi-nation collaborative research. With a current focus on COVID-19 and its relationship with cardiovascular outcomes, the harmonised data has supported a wide range of research activities across the UK. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-02093-0
format Online
Article
Text
id pubmed-9842203
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-98422032023-01-17 Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration Abbasizanjani, Hoda Torabi, Fatemeh Bedston, Stuart Bolton, Thomas Davies, Gareth Denaxas, Spiros Griffiths, Rowena Herbert, Laura Hollings, Sam Keene, Spencer Khunti, Kamlesh Lowthian, Emily Lyons, Jane Mizani, Mehrdad A. Nolan, John Sudlow, Cathie Walker, Venexia Whiteley, William Wood, Angela Akbari, Ashley BMC Med Inform Decis Mak Research BACKGROUND: The CVD-COVID-UK consortium was formed to understand the relationship between COVID-19 and cardiovascular diseases through analyses of harmonised electronic health records (EHRs) across the four UK nations. Beyond COVID-19, data harmonisation and common approaches enable analysis within and across independent Trusted Research Environments. Here we describe the reproducible harmonisation method developed using large-scale EHRs in Wales to accommodate the fast and efficient implementation of cross-nation analysis in England and Wales as part of the CVD-COVID-UK programme. We characterise current challenges and share lessons learnt. METHODS: Serving the scope and scalability of multiple study protocols, we used linked, anonymised individual-level EHR, demographic and administrative data held within the SAIL Databank for the population of Wales. The harmonisation method was implemented as a four-layer reproducible process, starting from raw data in the first layer. Then each of the layers two to four is framed by, but not limited to, the characterised challenges and lessons learnt. We achieved curated data as part of our second layer, followed by extracting phenotyped data in the third layer. We captured any project-specific requirements in the fourth layer. RESULTS: Using the implemented four-layer harmonisation method, we retrieved approximately 100 health-related variables for the 3.2 million individuals in Wales, which are harmonised with corresponding variables for > 56 million individuals in England. We processed 13 data sources into the first layer of our harmonisation method: five of these are updated daily or weekly, and the rest at various frequencies providing sufficient data flow updates for frequent capturing of up-to-date demographic, administrative and clinical information. CONCLUSIONS: We implemented an efficient, transparent, scalable, and reproducible harmonisation method that enables multi-nation collaborative research. With a current focus on COVID-19 and its relationship with cardiovascular outcomes, the harmonised data has supported a wide range of research activities across the UK. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12911-022-02093-0 BioMed Central 2023-01-16 /pmc/articles/PMC9842203/ /pubmed/36647111 http://dx.doi.org/10.1186/s12911-022-02093-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Abbasizanjani, Hoda
Torabi, Fatemeh
Bedston, Stuart
Bolton, Thomas
Davies, Gareth
Denaxas, Spiros
Griffiths, Rowena
Herbert, Laura
Hollings, Sam
Keene, Spencer
Khunti, Kamlesh
Lowthian, Emily
Lyons, Jane
Mizani, Mehrdad A.
Nolan, John
Sudlow, Cathie
Walker, Venexia
Whiteley, William
Wood, Angela
Akbari, Ashley
Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration
title Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration
title_full Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration
title_fullStr Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration
title_full_unstemmed Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration
title_short Harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a UK-wide COVID-19 research collaboration
title_sort harmonising electronic health records for reproducible research: challenges, solutions and recommendations from a uk-wide covid-19 research collaboration
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842203/
https://www.ncbi.nlm.nih.gov/pubmed/36647111
http://dx.doi.org/10.1186/s12911-022-02093-0
work_keys_str_mv AT abbasizanjanihoda harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT torabifatemeh harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT bedstonstuart harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT boltonthomas harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT daviesgareth harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT denaxasspiros harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT griffithsrowena harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT herbertlaura harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT hollingssam harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT keenespencer harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT khuntikamlesh harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT lowthianemily harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT lyonsjane harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT mizanimehrdada harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT nolanjohn harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT sudlowcathie harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT walkervenexia harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT whiteleywilliam harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT woodangela harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT akbariashley harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration
AT harmonisingelectronichealthrecordsforreproducibleresearchchallengessolutionsandrecommendationsfromaukwidecovid19researchcollaboration