Academic Journal
National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research
| Τίτλος: | National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research |
|---|---|
| Συγγραφείς: | Smith, DA, Wang, T, Freeman, O, Crichton, C, Salih, H, Matthews, PC, Davies, J, Várnai, KA, Woods, K, Jones, CR, Glampson, B, Mulla, A, Mercuri, L, Shaw, AT, Drumright, LN, Romão, L, Ramlakan, D, Higgins, F, Weir, A, Nastouli, E, Agarwal, K, Gelson, W, Cooke, GS, Barnes, E |
| Πηγή: | BMJ Health & Care Informatics , 27 (3) , Article e100145. (2020) |
| Έτος έκδοσης: | 2020 |
| Συλλογή: | University College London: UCL Discovery |
| Θεματικοί όροι: | BMJ Health Informatics, computer methodologies, information systems, record systems |
| Περιγραφή: | 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. |
| Τύπος εγγράφου: | article in journal/newspaper |
| Περιγραφή αρχείου: | text |
| Γλώσσα: | English |
| Relation: | https://discovery.ucl.ac.uk/id/eprint/10137995/1/Nastouli_National%20Institute%20for%20Health%20Research%20Health%20Informatics%20Collaborative_VoR.pdf; https://discovery.ucl.ac.uk/id/eprint/10137995/ |
| Διαθεσιμότητα: | https://discovery.ucl.ac.uk/id/eprint/10137995/1/Nastouli_National%20Institute%20for%20Health%20Research%20Health%20Informatics%20Collaborative_VoR.pdf https://discovery.ucl.ac.uk/id/eprint/10137995/ |
| Rights: | open |
| Αριθμός Καταχώρησης: | edsbas.E18F522E |
| Βάση Δεδομένων: | BASE |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://discovery.ucl.ac.uk/id/eprint/10137995/1/Nastouli_National Institute for Health Research Health Informatics Collaborative_VoR.pdf# Name: EDS - BASE (ns324271) Category: fullText Text: View record from BASE |
|---|---|
| Header | DbId: edsbas DbLabel: BASE An: edsbas.E18F522E RelevancyScore: 894 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 893.994323730469 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Smith%2C+DA%22">Smith, DA</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+T%22">Wang, T</searchLink><br /><searchLink fieldCode="AR" term="%22Freeman%2C+O%22">Freeman, O</searchLink><br /><searchLink fieldCode="AR" term="%22Crichton%2C+C%22">Crichton, C</searchLink><br /><searchLink fieldCode="AR" term="%22Salih%2C+H%22">Salih, H</searchLink><br /><searchLink fieldCode="AR" term="%22Matthews%2C+PC%22">Matthews, PC</searchLink><br /><searchLink fieldCode="AR" term="%22Davies%2C+J%22">Davies, J</searchLink><br /><searchLink fieldCode="AR" term="%22Várnai%2C+KA%22">Várnai, KA</searchLink><br /><searchLink fieldCode="AR" term="%22Woods%2C+K%22">Woods, K</searchLink><br /><searchLink fieldCode="AR" term="%22Jones%2C+CR%22">Jones, CR</searchLink><br /><searchLink fieldCode="AR" term="%22Glampson%2C+B%22">Glampson, B</searchLink><br /><searchLink fieldCode="AR" term="%22Mulla%2C+A%22">Mulla, A</searchLink><br /><searchLink fieldCode="AR" term="%22Mercuri%2C+L%22">Mercuri, L</searchLink><br /><searchLink fieldCode="AR" term="%22Shaw%2C+AT%22">Shaw, AT</searchLink><br /><searchLink fieldCode="AR" term="%22Drumright%2C+LN%22">Drumright, LN</searchLink><br /><searchLink fieldCode="AR" term="%22Romão%2C+L%22">Romão, L</searchLink><br /><searchLink fieldCode="AR" term="%22Ramlakan%2C+D%22">Ramlakan, D</searchLink><br /><searchLink fieldCode="AR" term="%22Higgins%2C+F%22">Higgins, F</searchLink><br /><searchLink fieldCode="AR" term="%22Weir%2C+A%22">Weir, A</searchLink><br /><searchLink fieldCode="AR" term="%22Nastouli%2C+E%22">Nastouli, E</searchLink><br /><searchLink fieldCode="AR" term="%22Agarwal%2C+K%22">Agarwal, K</searchLink><br /><searchLink fieldCode="AR" term="%22Gelson%2C+W%22">Gelson, W</searchLink><br /><searchLink fieldCode="AR" term="%22Cooke%2C+GS%22">Cooke, GS</searchLink><br /><searchLink fieldCode="AR" term="%22Barnes%2C+E%22">Barnes, E</searchLink> – Name: TitleSource Label: Source Group: Src Data: BMJ Health & Care Informatics , 27 (3) , Article e100145. (2020) – Name: DatePubCY Label: Publication Year Group: Date Data: 2020 – Name: Subset Label: Collection Group: HoldingsInfo Data: University College London: UCL Discovery – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22BMJ+Health+Informatics%22">BMJ Health Informatics</searchLink><br /><searchLink fieldCode="DE" term="%22computer+methodologies%22">computer methodologies</searchLink><br /><searchLink fieldCode="DE" term="%22information+systems%22">information systems</searchLink><br /><searchLink fieldCode="DE" term="%22record+systems%22">record systems</searchLink> – Name: Abstract Label: Description Group: Ab Data: 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. – Name: TypeDocument Label: Document Type Group: TypDoc Data: article in journal/newspaper – Name: Format Label: File Description Group: SrcInfo Data: text – Name: Language Label: Language Group: Lang Data: English – Name: NoteTitleSource Label: Relation Group: SrcInfo Data: https://discovery.ucl.ac.uk/id/eprint/10137995/1/Nastouli_National%20Institute%20for%20Health%20Research%20Health%20Informatics%20Collaborative_VoR.pdf; https://discovery.ucl.ac.uk/id/eprint/10137995/ – Name: URL Label: Availability Group: URL Data: https://discovery.ucl.ac.uk/id/eprint/10137995/1/Nastouli_National%20Institute%20for%20Health%20Research%20Health%20Informatics%20Collaborative_VoR.pdf<br />https://discovery.ucl.ac.uk/id/eprint/10137995/ – Name: Copyright Label: Rights Group: Cpyrght Data: open – Name: AN Label: Accession Number Group: ID Data: edsbas.E18F522E |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.E18F522E |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English Subjects: – SubjectFull: BMJ Health Informatics Type: general – SubjectFull: computer methodologies Type: general – SubjectFull: information systems Type: general – SubjectFull: record systems Type: general Titles: – TitleFull: National Institute for Health Research Health Informatics Collaborative: development of a pipeline to collate electronic clinical data for viral hepatitis research Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Smith, DA – PersonEntity: Name: NameFull: Wang, T – PersonEntity: Name: NameFull: Freeman, O – PersonEntity: Name: NameFull: Crichton, C – PersonEntity: Name: NameFull: Salih, H – PersonEntity: Name: NameFull: Matthews, PC – PersonEntity: Name: NameFull: Davies, J – PersonEntity: Name: NameFull: Várnai, KA – PersonEntity: Name: NameFull: Woods, K – PersonEntity: Name: NameFull: Jones, CR – PersonEntity: Name: NameFull: Glampson, B – PersonEntity: Name: NameFull: Mulla, A – PersonEntity: Name: NameFull: Mercuri, L – PersonEntity: Name: NameFull: Shaw, AT – PersonEntity: Name: NameFull: Drumright, LN – PersonEntity: Name: NameFull: Romão, L – PersonEntity: Name: NameFull: Ramlakan, D – PersonEntity: Name: NameFull: Higgins, F – PersonEntity: Name: NameFull: Weir, A – PersonEntity: Name: NameFull: Nastouli, E – PersonEntity: Name: NameFull: Agarwal, K – PersonEntity: Name: NameFull: Gelson, W – PersonEntity: Name: NameFull: Cooke, GS – PersonEntity: Name: NameFull: Barnes, E IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2020 Identifiers: – Type: issn-locals Value: edsbas – Type: issn-locals Value: edsbas.oa Titles: – TitleFull: BMJ Health & Care Informatics , 27 (3) , Article e100145. (2020 Type: main |
| ResultId | 1 |