rss
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.

Related Article

Free Sample

This recent issue is free to all users to allow everyone the opportunity to see the full scope and typical content of JAMIA.
View free sample issue >>

Access policy for JAMIA

All content published in JAMIA is deposited with PubMed Central by the publisher with a 12 month embargo. Authors/funders may pay an Open Access fee of $2,000 to make the article free on the JAMIA website and PMC immediately on publication.

All content older than 12 months is freely available on this website.

AMIA members can log in with their JAMIA user name (email address) and password or via the AMIA website.

Navigate This Article