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Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation.

Morley, KI; Wallace, J; Denaxas, SC; Hunter, RJ; Patel, RS; Perel, P; Shah, AD; ... Hemingway, H; + view all (2014) Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation. PLoS One , 9 (11) , Article e110900. 10.1371/journal.pone.0110900. Green open access

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Abstract

National electronic health records (EHR) are increasingly used for research but identifying disease cases is challenging due to differences in information captured between sources (e.g. primary and secondary care). Our objective was to provide a transparent, reproducible model for integrating these data using atrial fibrillation (AF), a chronic condition diagnosed and managed in multiple ways in different healthcare settings, as a case study.

Type: Article
Title: Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation.
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0110900
Publisher version: http://dx.doi.org/10.1371/journal.pone.0110900
Language: English
Additional information: © 2014 Morley et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Cardiovascular Science > Population Science and Experimental Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology
URI: https://discovery.ucl.ac.uk/id/eprint/1455574
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