Pediatric decision support using adapted Arden Syntax.

Journal: Artificial intelligence in medicine
PMID: 26547523

Abstract

BACKGROUND: Pediatric guidelines based care is often overlooked because of the constraints of a typical office visit and the sheer number of guidelines that may exist for a patient's visit. In response to this problem, in 2004 we developed a pediatric computer based clinical decision support system using Arden Syntax medical logic modules (MLM).

Authors

  • Vibha Anand
    Children's Hospital and Pediatric Institute, Cleveland Clinic, 9500 Euclid Avenue, Cleveland, OH 44195, USA. Electronic address: anandv@ccf.org.
  • Aaron E Carroll
    Pediatric and Adolescent Comparative Effectiveness Research, Indiana University, Riley Child Development Center, 705 Riley Hospital Drive, Room 5837, Indianapolis, IN 46202, USA; Regenstrief Institute, Inc., 410 West 10th Street, Suite 2000, Indianapolis, IN 46202-3012, USA.
  • Paul G Biondich
    Regenstrief Institute, Inc., 410 West 10th Street, Suite 2000, Indianapolis, IN 46202-3012, USA; Children's Health Services Research, Indiana University, 410 West 10th Street, Suite 1000, Indianapolis, IN 46202-3012, USA.
  • Tamara M Dugan
    Children's Health Services Research, Indiana University, 410 West 10th Street, Suite 1000, Indianapolis, IN 46202-3012, USA.
  • Stephen M Downs
    Regenstrief Institute, Inc., 410 West 10th Street, Suite 2000, Indianapolis, IN 46202-3012, USA; Children's Health Services Research, Indiana University, 410 West 10th Street, Suite 1000, Indianapolis, IN 46202-3012, USA.

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