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Optimising use of electronic health records to describe the presentation of rheumatoid arthritis in primary care: a strategy for developing code lists.

Nicholson, A; Ford, E; Davies, KA; Smith, HE; Rait, G; Tate, AR; Petersen, I; (2013) Optimising use of electronic health records to describe the presentation of rheumatoid arthritis in primary care: a strategy for developing code lists. PLoS One , 8 (2) , Article e54878. 10.1371/journal.pone.0054878. Green open access

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Abstract

Research using electronic health records (EHRs) relies heavily on coded clinical data. Due to variation in coding practices, it can be difficult to aggregate the codes for a condition in order to define cases. This paper describes a methodology to develop 'indicator markers' found in patients with early rheumatoid arthritis (RA); these are a broader range of codes which may allow a probabilistic case definition to use in cases where no diagnostic code is yet recorded.

Type: Article
Title: Optimising use of electronic health records to describe the presentation of rheumatoid arthritis in primary care: a strategy for developing code lists.
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1371/journal.pone.0054878
Publisher version: http://dx.doi.org/10.1371/journal.pone.0054878
Language: English
Additional information: © 2013 Nicholson 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. PMCID: PMC3579840
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 Epidemiology and Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Primary Care and Population Health
URI: https://discovery.ucl.ac.uk/id/eprint/1388279
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