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A Microbiology Analytics Tool to Evaluate the Burden of Antibiotic-Resistant Infections.
Grob, Moritz; Watzinger, Christian; Willinger, Birgit; Thalhammer, Florian; Koller, Walter; Rappelsberger, Andrea; Adlassnig, Klaus-Peter.
Afiliação
  • Grob M; Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria.
  • Watzinger C; Medexter Healthcare, Borschkegasse 7/5, 1090 Vienna, Austria.
  • Willinger B; Medexter Healthcare, Borschkegasse 7/5, 1090 Vienna, Austria.
  • Thalhammer F; Medical University of Vienna, Department of Laboratory Medicine, Division of Clinical Microbiology, Währinger Gürtel 18-20, 1090 Vienna, Austria.
  • Koller W; Medical University of Vienna, Department of Urology, Währinger Gürtel 18-20, 1090 Vienna, Austria.
  • Rappelsberger A; Medical University of Vienna, Department of Hospital Hygiene and Infection Control, Währinger Gürtel 18-20, 1090 Vienna, Austria.
  • Adlassnig KP; Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria.
Stud Health Technol Inform ; 316: 1911-1915, 2024 Aug 22.
Article em En | MEDLINE | ID: mdl-39176865
ABSTRACT
Leveraging the capabilities of a microbiological clinical analytics tool, this study delves into quantifying the public health impact of antibiotic-resistant bacteria. Focusing on eight predominant antibiotic-resistant bacteria, the study utilizes University Hospital Vienna's data to calculate the burden of antibiotic-resistant infections in disability-adjusted life years. The results highlight the potential of extended analytics tools in epidemiological research and underscore the pressing challenge of antimicrobial drug resistance.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Bacterianas Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Infecções Bacterianas Limite: Humans País/Região como assunto: Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article