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Research article summary:
A multi-agent system approach for monitoring the prescription of restricted use antibiotics.
Abstract Extract:
Hospitals have a specified set of antibiotics for restricted use (ARU), very expensive, which are only recommended for special pathologies. The pharmacy department daily checks the prescription of this kind of antibiotics since it is often the case that, ... (Full abstract text below) Published 2003Mar
in Journal: Artif Intell Med
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Artif Intell Med.
2003 Mar;27(3):259-82
A multi-agent system approach for monitoring the prescription of restricted use antibiotics.
Godo L, Puyol-Gruart J, Sabater J, Torra V, Barrufet P, Fābregas X
Artificial Intelligence Research Institute (IIIA), Spanish Council for Scientific Research (CSIC), Campus UAB, 08193 Bellaterra, Spain. godo@iiia.csic.es
Hospitals have a specified set of antibiotics for restricted use (ARU), very expensive, which are only recommended for special pathologies. The pharmacy department daily checks the prescription of this kind of antibiotics since it is often the case that, after a careful analysis, one can get the same therapeutic effects by using normal antibiotics which are much cheaper and usually less aggressive. In this paper, we describe a multi-agent system to help in the revision of medical prescriptions containing antibiotics of restricted use. The proposed approach attaches an agent to each patient which is responsible of checking different medical aspects related to his/her prescribed therapy. A pharmacy agent is responsible for analyzing it and suggesting alternative antibiotic treatments. All these agents are integrated in a hospital distributed scenario composed by many different kinds of software and human agents. This patient-centered multi-agent scenario is specified using the design methodology of Electronic Institutions.
PMID : 12667739 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| L | Godo | L |
| J | Puyol-Gruart | J |
| J | Sabater | J |
| V | Torra | V |
| P | Barrufet | P |
| X | Fābregas | X |
Affiliation: Artificial Intelligence Research Institute (IIIA), Spanish Council for Scientific Research (CSIC), Campus UAB, 08193 Bellaterra, Spain. godo@iiia.csic.es
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