title: The TREAT project: decision support and prediction using causal probabilistic networks.
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.
authors: Department of Medicine E, Rabin Medical Center, Beilinson Campus, Petah-Tiqva, Israel.
authors: Leonard
authors: L
authors: Leibovici
authors: Mical
authors: M
authors: Paul
authors: Anders D
authors: AD
authors: Nielsen
authors: Evelina
authors: E
authors: Tacconelli
authors: Steen
authors: S
authors: Andreassen
mesh_terms: D000900:Anti-Bacterial Agents / Q000627:therapeutic use*; D001424:Bacterial Infections / Q000188:drug therapy*; D020000:Decision Support Systems, Clinical; D004363:Drug Utilization; D006801:Humans; D007902:Length of Stay; D015233:Models, Statistical
chemical_list: D000900:Anti-Bacterial Agents