Your browser doesn't support javascript.
loading
National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research.
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.
Afiliação
  • Smith DA; Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.
  • Wang T; NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
  • Freeman O; NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
  • Crichton C; Nuffield Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK.
  • Salih H; NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
  • Matthews PC; NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
  • Davies J; NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
  • Várnai KA; Nuffield Department of Medicine, University of Oxford, Oxford, Oxfordshire, UK.
  • Woods K; Deptartment of Infectious Diseases and Microbiology, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.
  • Jones CR; NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
  • Glampson B; Department of Computer Science, University of Oxford, Oxford, Oxfordshire, UK.
  • Mulla A; Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.
  • Mercuri L; NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
  • Shaw AT; Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK.
  • Drumright LN; NIHR Oxford Biomedical Research Centre, Big Data Institute, University of Oxford, Oxford, Oxfordshire, UK.
  • Romão L; Department of Infectious Disease, St Mary's Campus, Imperial College London, London, UK.
  • Ramlakan D; Research Informatics Team, Imperial College Healthcare NHS Trust, London, UK.
  • Higgins F; Research Informatics Team, Imperial College Healthcare NHS Trust, London, UK.
  • Weir A; Research Informatics Team, Imperial College Healthcare NHS Trust, London, UK.
  • Nastouli E; Clinical Trials Centre, Winston Churchill Wing, St Mary's Campus, Imperial College London, London, UK.
  • Agarwal K; Cambridge University Hospitals NHS Foundation Trust, Cambridge, Cambridgeshire, UK.
  • Gelson W; National Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK.
  • Cooke GS; Institute of Health Informatics, University College London, London, UK.
  • Barnes E; National Institute for Health Research Biomedical Research Centre, University College London Hospitals, London, UK.
BMJ Health Care Inform ; 27(3)2020 Nov.
Article em En | MEDLINE | ID: mdl-33214194
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.
Assuntos
Palavras-chave
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pesquisa / Bases de Dados Factuais / Hepatite C / Hepatite B Crônica / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMJ Health Care Inform Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pesquisa / Bases de Dados Factuais / Hepatite C / Hepatite B Crônica / Registros Eletrônicos de Saúde Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: BMJ Health Care Inform Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Reino Unido