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Progress in Artificial Intelligence
Erschienen in: Progress in Artificial Intelligence 3/2016

01.08.2016 | Regular Paper

Development of a clinical decision support system for antibiotic management in a hospital environment

verfasst von: Bernardo Cánovas-Segura, Manuel Campos, Antonio Morales, Jose M. Juarez, Francisco Palacios

Erschienen in: Progress in Artificial Intelligence | Ausgabe 3/2016

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Abstract

The rise of infections caused by multidrug-resistant bacteria has become a very important issue for health institutions around the world, urging them to a more appropriate use of antibiotics. Clinical decision support systems have a very important role in this area. We propose the development of a clinical decision support system focused on the antibiotic stewardship program implemented in hospitals. The need for a multi-user perspective, both reactive and proactive behaviours, and the use of many heterogeneous knowledge sources are identified as the main requirements that differentiate this clinical scenario from a decision support point of view. We show that a combination of production rules, ontologies, workflow modelling and subgroup discovery techniques could be used to fulfil these requirements. Finally, we describe a platform on which these techniques will be developed and tested.
Vorheriger Artikel Current prospects on ordinal and monotonic classification
Nächster Artikel Analysis of beamforming for improving the energy efficiency in wireless sensor networks with metaheuristics

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Metadaten
Titel
Development of a clinical decision support system for antibiotic management in a hospital environment
verfasst von
Bernardo Cánovas-Segura
Manuel Campos
Antonio Morales
Jose M. Juarez
Francisco Palacios
Publikationsdatum
01.08.2016
Verlag
Springer Berlin Heidelberg
Erschienen in
Progress in Artificial Intelligence / Ausgabe 3/2016
Print ISSN: 2192-6352
Elektronische ISSN: 2192-6360
DOI
https://doi.org/10.1007/s13748-016-0089-x

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