National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research. Issue 3 (19th November 2020)
- Record Type:
- Journal Article
- Title:
- National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research. Issue 3 (19th November 2020)
- Main Title:
- National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research
- Authors:
- Smith, David Anthony
Wang, Tingyan
Freeman, Oliver
Crichton, Charles
Salih, Hizni
Matthews, Philippa Clare
Davies, Jim
Várnai, Kinga Anna
Woods, Kerrie
Jones, Christopher R.
Glampson, Ben
Mulla, Abdulrahim
Mercuri, Luca
Shaw, A. Torm
Drumright, Lydia N
Romão, Luis
Ramlakan, David
Higgins, Finola
Weir, Alistair
Nastouli, Eleni
Agarwal, Kosh
Gelson, William
Cooke, Graham S.
Barnes, Eleanor - Abstract:
- Abstract : 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 clinicalAbstract : 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. … (more)
- Is Part Of:
- BMJ health & care informatics. Volume 27:Issue 3(2020)
- Journal:
- BMJ health & care informatics
- Issue:
- Volume 27:Issue 3(2020)
- Issue Display:
- Volume 27, Issue 3 (2020)
- Year:
- 2020
- Volume:
- 27
- Issue:
- 3
- Issue Sort Value:
- 2020-0027-0003-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-11-19
- Subjects:
- BMJ Health Informatics -- computer methodologies -- information systems -- record systems
Medical informatics -- Great Britain -- Periodicals
Information storage and retrieval systems -- Medical care -- Periodicals
Primary care (Medicine) -- Great Britain -- Data processing -- Periodicals
362.10285 - Journal URLs:
- http://www.bmj.com/archive ↗
https://informatics.bmj.com/ ↗ - DOI:
- 10.1136/bmjhci-2020-100145 ↗
- Languages:
- English
- ISSNs:
- 2632-1009
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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- British Library DSC - BLDSS-3PM
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- 25267.xml