Using Arden Syntax Medical Logic Modules to reduce overutilization of laboratory tests for detection of bacterial infections-Success or failure?

Journal: Artificial intelligence in medicine
PMID: 26476896

Abstract

OBJECTIVE: Bacterial infections frequently cause prolonged intensive care unit (ICU) stays. Repeated measurements of the procalcitonin (PCT) biomarker are typically used for early detection and follow up of bacterial infections and sepsis, but those PCT measurements are costly. To avoid overutilization, we developed and evaluated a clinical decision support system (CDSS) in Arden Syntax which computes necessary and preventable PCT orders.

Authors

  • Ixchel Castellanos
    Department of Anaesthesiology, University Hospital Erlangen, Krankenhausstr. 12, 91054 Erlangen, Germany. Electronic address: ixchel.castellanos@kfa.imed.uni-erlangen.de.
  • Stefan Kraus
    Center for Communication and Information Technology, University Hospital Erlangen, Glückstr. 11, 91054 Erlangen, Germany; Department of Medical Informatics, Biometrics and Epidemiology, Chair of Medical Informatics, Friedrich-Alexander-University Erlangen-Nuremberg, Wetterkreuz 13, 91058 Erlangen, Germany.
  • Dennis Toddenroth
    Institute for Medical Informatics, University Erlangen-Nuremberg, Erlangen, Germany.
  • Hans-Ulrich Prokosch
    Institute for Medical Informatics, University Erlangen-Nuremberg, Erlangen, Germany; Center for Medical Information and Communication, Erlangen University Hospital, Erlangen, Germany.
  • Thomas Bürkle
    Institute for Medical Informatics, Bern University of Applied Sciences, Bern, Switzerland.

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