National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research Article Swipe
David A. Smith
,
Tingyan Wang
,
Oliver Freeman
,
Charles Crichton
,
Hizni Salih
,
Philippa C. Matthews
,
Jim Davies
,
Kinga Anna Várnai
,
Kerrie Woods
,
Christopher R. Jones
,
Ben Glampson
,
Abdulrahim Mulla
,
Luca Mercuri
,
A. Torm Shaw
,
Lydia N. Drumright
,
Luis Romão
,
David Ramlakan
,
Finola Higgins
,
Alistair Weir
,
Eleni Nastouli
,
Kosh Agarwal
,
William Gelson
,
Graham Cooke
,
Eleanor Barnes
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1136/bmjhci-2020-100145
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1136/bmjhci-2020-100145
Objective The National Institute for Health Research (NIHR) Health Informatics Collaborative (HIC) is a programme of infrastructure development across NIHR Biomedical Research Centres. The aim of the NIHR HIC is to improve the quality and availability of routinely collected data for collaborative, cross-centre research. This is demonstrated through research collaborations in selected therapeutic areas, one of which is viral hepatitis. Design The collaboration in viral hepatitis identified a rich set of datapoints, including information on clinical assessment, antiviral treatment, laboratory test results and health outcomes. Clinical data from different centres were standardised and combined to produce a research-ready dataset; this was used to generate insights regarding disease prevalence and treatment response. Results A comprehensive database has been developed for potential viral hepatitis research interests, with a corresponding data dictionary for researchers across the centres. An initial cohort of 960 patients with chronic hepatitis B infections and 1404 patients with chronic hepatitis C infections has been collected. Conclusion For the first time, large prospective cohorts are being formed within National Health Service (NHS) secondary care services that will allow research questions to be rapidly addressed using real-world data. Interactions with industry partners will help to shape future research and will inform patient-stratified clinical practice. An emphasis on NHS-wide systems interoperability, and the increased utilisation of structured data solutions for electronic patient records, is improving access to data for research, service improvement and the reduction of clinical data gaps.
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- Type
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- en
- Landing Page
- https://doi.org/10.1136/bmjhci-2020-100145
- https://informatics.bmj.com/content/bmjhci/27/3/e100145.full.pdf
- OA Status
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- Cited By
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3104078450Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1136/bmjhci-2020-100145Digital Object Identifier
- Title
-
National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis researchWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-01Full publication date if available
- Authors
-
David A. Smith, Tingyan Wang, Oliver Freeman, Charles Crichton, Hizni Salih, Philippa C. Matthews, Jim Davies, Kinga Anna Várnai, Kerrie Woods, Christopher R. Jones, Ben Glampson, Abdulrahim Mulla, Luca Mercuri, A. Torm Shaw, Lydia N. Drumright, Luis Romão, David Ramlakan, Finola Higgins, Alistair Weir, Eleni Nastouli, Kosh Agarwal, William Gelson, Graham Cooke, Eleanor BarnesList of authors in order
- Landing page
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https://doi.org/10.1136/bmjhci-2020-100145Publisher landing page
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https://informatics.bmj.com/content/bmjhci/27/3/e100145.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
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https://informatics.bmj.com/content/bmjhci/27/3/e100145.full.pdfDirect OA link when available
- Concepts
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Interoperability, Informatics, Medicine, Health informatics, Clinical research, Hepatitis C, Viral hepatitis, Family medicine, Health care, Service (business), Nursing, Public health, Business, Computer science, World Wide Web, Political science, Pathology, Virology, Marketing, LawTop concepts (fields/topics) attached by OpenAlex
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23Total citation count in OpenAlex
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2025: 3, 2024: 4, 2023: 4, 2022: 6, 2021: 5Per-year citation counts (last 5 years)
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5Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5029367587 |
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| corresponding_institution_ids | https://openalex.org/I40120149, https://openalex.org/I4210147381 |
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