The TREAT project: decision support and prediction using causal probabilistic networks

Int J Antimicrob Agents. 2007 Nov:30 Suppl 1:S93-102. doi: 10.1016/j.ijantimicag.2007.06.035. Epub 2007 Sep 24.


TREAT is a decision support system for antibiotic treatment in inpatients with common bacterial infections. It was tested in a randomised controlled trial in three countries and shown to improve the percentage of appropriate empirical antibiotic treatments, while at the same time reducing hospital stay and the use of broad-spectrum antibiotics. TREAT is based on a causal probabilistic network and uses a cost-benefit model for antibiotic treatment, including costs assigned to future resistance. In the present review we discuss the advantages of using causal probabilistic models for prediction and decision support, and the various decisions that were taken in the TREAT project.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Anti-Bacterial Agents / therapeutic use*
  • Bacterial Infections / drug therapy*
  • Decision Support Systems, Clinical*
  • Drug Utilization
  • Humans
  • Length of Stay
  • Models, Statistical


  • Anti-Bacterial Agents