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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
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

Internet

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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