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Automating the Generation of Antimicrobial Resistance Surveillance Reports: Proof-of-Concept Study Involving Seven Hospitals in Seven Countries
BACKGROUND: Reporting cumulative antimicrobial susceptibility testing data on a regular basis is crucial to inform antimicrobial resistance (AMR) action plans at local, national, and global levels. However, analyzing data and generating a report are time consuming and often require trained personnel...
Autores principales: | Lim, Cherry, Miliya, Thyl, Chansamouth, Vilada, Aung, Myint Thazin, Karkey, Abhilasha, Teparrukkul, Prapit, Rahul, Batra, Lan, Nguyen Phu Huong, Stelling, John, Turner, Paul, Ashley, Elizabeth, van Doorn, H Rogier, Lin, Htet Naing, Ling, Clare, Hinjoy, Soawapak, Iamsirithaworn, Sopon, Dunachie, Susanna, Wangrangsimakul, Tri, Hantrakun, Viriya, Schilling, William, Yen, Lam Minh, Tan, Le Van, Hlaing, Htay Htay, Mayxay, Mayfong, Vongsouvath, Manivanh, Basnyat, Buddha, Edgeworth, Jonathan, Peacock, Sharon J, Thwaites, Guy, Day, Nicholas PJ, Cooper, Ben S, Limmathurotsakul, Direk |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568216/ https://www.ncbi.nlm.nih.gov/pubmed/33006570 http://dx.doi.org/10.2196/19762 |
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