Congestive heart failure information extraction framework for automated treatment performance measures assessment.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 27413122

Abstract

OBJECTIVE: This paper describes a new congestive heart failure (CHF) treatment performance measure information extraction system - CHIEF - developed as part of the Automated Data Acquisition for Heart Failure project, a Veterans Health Administration project aiming at improving the detection of patients not receiving recommended care for CHF.

Authors

  • Stéphane M Meystre
    Department of Biomedical Informatics, University of Utah, Salt Lake City, USA.
  • Youngjun Kim
  • Glenn T Gobbel
    Department of Biomedical Informatics, Vanderbilt University, Nashville, TN, USA.
  • Michael E Matheny
    Vanderbilt University School of Medicine, Nashville, TN.
  • Andrew Redd
    Andrew Redd, PhD, is an Assistant Professor at the University of Utah and a statistician in the IDEAS Center at the VA Salt Lake City Health Care System in Salt Lake City, UT.
  • Bruce E Bray
    Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
  • Jennifer H Garvin
    IDEAS Center SLC VA Healthcare System, 500 Foothill Drive, Salt Lake City, UT, 84148, USA. jennifer.garvin@va.gov.

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