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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...

সম্পূর্ণ বিবরণ

সংরক্ষণ করুন:
গ্রন্থ-পঞ্জীর বিবরন
প্রকাশিত:J Med Internet Res
প্রধান লেখক: 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
বিন্যাস: Artigo
ভাষা:Inglês
প্রকাশিত: JMIR Publications 2020
বিষয়গুলি:
অনলাইন ব্যবহার করুন: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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