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J Am Med Inform Assoc doi:10.1136/amiajnl-2012-001145
  • Perspective

Next-generation phenotyping of electronic health records

  1. David J Albers
  1. Biomedical Informatics, Columbia University, New York, NY, USA
  1. Correspondence to Dr George Hripcsak, Department of Biomedical Informatics, Columbia University Medical Center, 622 West 168th Street, VC5, New York, NY 10027, USA; hripcsak{at}columbia.edu
  • Received 5 June 2012
  • Accepted 11 August 2012
  • Published Online First 6 September 2012

Abstract

The national adoption of electronic health records (EHR) promises to make an unprecedented amount of data available for clinical research, but the data are complex, inaccurate, and frequently missing, and the record reflects complex processes aside from the patient's physiological state. We believe that the path forward requires studying the EHR as an object of interest in itself, and that new models, learning from data, and collaboration will lead to efficient use of the valuable information currently locked in health records.

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