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National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research

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 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1136/bmjhci-2020-100145

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Sub department:
BL COMPUTER SCIENCE; H6 CLINICAL TRIAL SERVICE UNIT; HB NDM EXPERIMENTAL MEDICINE
Role:
Author
ORCID:
0000-0002-9171-1427



Publisher:
BMJ Publishing Group
Journal:
BMJ Health and Care Informatics More from this journal
Volume:
27
Issue:
3
Article number:
e100145
Publication date:
2020-11-19
Acceptance date:
2020-09-16
DOI:
EISSN:
2632-1009
Pmid:
33214194


Language:
English
Keywords:
Pubs id:
1146294
Local pid:
pubs:1146294
Deposit date:
2021-03-02
ARK identifier:

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