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

Full Abstract

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.

Author information

Author/s: Leibovici, Leonard (L); Paul, Mical (M); Nielsen, Anders D (AD); Tacconelli, Evelina (E); Andreassen, Steen (S);

Affiliation: Department of Medicine E, Rabin Medical Center, Beilinson Campus, Petah-Tiqva, Israel.

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Review

Journal: International journal of antimicrobial agents (Int J Antimicrob Agents), published in Netherlands. (Language: eng)

Reference: 2007-Nov; vol 30 Suppl 1 (issue ) : pp S93-102

Dates: Created 2007/10/08; Completed 2007/12/17;

PMID: 17890063, status: MEDLINE (last retrieval date: 2/18/2009, IMS Date: )

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