Citation link: https://doi.org/10.1186/s12911-024-02490-7
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Dokument Type: Article
metadata.dc.title: Decision support systems for antibiotic prescription in hospitals: a survey with hospital managers on factors for implementation
Authors: Tokgöz, Pinar 
Krayter, Stephan 
Hafner, Jessica 
Dockweiler, Christoph 
Institute: Fakultät V - Lebenswissenschaftliche Fakultät 
Free keywords: Antibiotic prescription, Artificial intelligence, Decision support systems, Hospital, Implementation, Verschreibung von Antibiotika, Künstliche Intelligenz, Systeme zur Entscheidungshilfe, Krankenhaus, Umsetzung
Dewey Decimal Classification: 610 Medizin, Gesundheit
Issue Date: 2024
Publish Date: 2025
Source: BMC Medical Informatics and Decision Making ; volume 24, Article number 96 (2024). - https://doi.org/10.1186/s12911-024-02490-7
Abstract: 
Inappropriate antimicrobial use, such as antibiotic intake in viral infections, incorrect dosing and incorrect dosing cycles, has been shown to be an important determinant of the emergence of antimicrobial resistance. Artificial intelligence-based decision support systems represent a potential solution for improving antimicrobial prescribing and containing antimicrobial resistance by supporting clinical decision-making thus optimizing antibiotic use and improving patient outcomes.
Description: 
Finanziert aus dem DFG-geförderten Open-Access-Publikationsfonds der Universität Siegen für Zeitschriftenartikel
DOI: https://doi.org/10.1186/s12911-024-02490-7
URN: urn:nbn:de:hbz:467-29036
URI: https://dspace.ub.uni-siegen.de/handle/ubsi/2903
Appears in Collections:Geförderte Open-Access-Publikationen

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