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

@inproceedings{Ford2013OptimisingTU,
  title={Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text?},
  author={Elizabeth Ford and Amanda Nicholson and Rob Koeling and Anne Rosemary Tate and J. Carroll and Lesley Axelrod and Helen E. Smith and Greta Rait and Kevin A. Davies and Irene Petersen and Tim Gabe Williams and Jackie A Cassell},
  booktitle={BMC medical research methodology},
  year={2013}
}
BACKGROUND 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. METHODS We examined the electronic health records (EHRs) of 6,387 patients from the UK, aged 30 years and older, with… CONTINUE READING
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