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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Pubblicato in:J Med Internet Res
Autori principali: 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
Natura: Artigo
Lingua:Inglês
Pubblicazione: JMIR Publications 2020
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Original Paper
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7568216/
https://ncbi.nlm.nih.gov/pubmed/33006570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/19762
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