• Am. J. Epidemiol. · Mar 2014

    Comment

    Invited commentary: Observational research in the age of the electronic health record.

    • Christopher G Chute.
    • Am. J. Epidemiol. 2014 Mar 15;179(6):759-61.

    AbstractHistorically, clinical epidemiologic research has been constrained by the costs and time associated with manually identifying cases and abstracting clinical data. In this issue, Carrell et al. (Am J Epidemiol. 2014;179(6);749-758) report on their impressive success using natural language processing techniques to correctly identify cases of cancer recurrence among women with previous breast cancer. They report a 10-fold decrease in the need for chart abstraction, though with an 8% loss in case detection. This commentary outlines some recent history associated with the development of "high-throughput clinical phenotyping" of electronic health records and speculates on the impact such computational capabilities may have for observational research and patient consent.

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