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Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text?

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  • Elizabeth Ford
  • Amanda Nicholson
  • Rob Koeling
  • A Rosemary Tate
  • John Carroll
  • Lesley Axelrod
  • Helen E Smith
  • Greta Rait
  • Kevin A Davies
  • Irene Petersen
  • Tim Williams
  • Jackie A Cassell
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<mark>Journal publication date</mark>21/08/2013
<mark>Journal</mark>BMC Medical Research Methodology
Issue number1
Volume13
Pages (from-to)105
Publication StatusPublished
<mark>Original language</mark>English

Abstract

Primary care databases are a major source of data for epidemiological and health services research. However, most studies are based on coded information, ignoring information stored in free text. Using the early presentation of rheumatoid arthritis (RA) as an exemplar, our objective was to estimate the extent of data hidden within free text, using a keyword search.