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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Опубликовано в: :J Med Internet Res
Главные авторы: 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
Формат: Artigo
Язык:Inglês
Опубликовано: JMIR Publications 2020
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Original Paper
Online-ссылка: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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