Automating the Generation of Antimicrobial Resistance Surveillance Reports: Proof-of-Concept Study Involving Seven Hospitals in Seven Countries

• Main Authors: Lim, Cherry (Author), Miliya, Thyl (Author), Chansamouth, Vilada (Author), Aung, Myint Thazin (Author), Karkey, Abhilasha (Author), Teparrukkul, Prapit (Author), Rahul, Batra (Author), Lan, Nguyen Phu Huong (Author), Stelling, John (Author), Turner, Paul (Author), Ashley, Elizabeth (Author), van Doorn, H Rogier (Author), Lin, Htet Naing (Author), Ling, Clare (Author), Hinjoy, Soawapak (Author), Iamsirithaworn, Sopon (Author), Dunachie, Susanna (Author), Wangrangsimakul, Tri (Author), Hantrakun, Viriya (Author), Schilling, William (Author), Yen, Lam Minh (Author), Tan, Le Van (Author), Hlaing, Htay Htay (Author), Mayxay, Mayfong (Author), Vongsouvath, Manivanh (Author), Basnyat, Buddha (Author), Edgeworth, Jonathan (Author), Peacock, Sharon J (Author), Thwaites, Guy (Author), Day, Nicholas PJ (Author), Cooper, Ben S (Author), Limmathurotsakul, Direk (Author)
• Format: Book
• Published: JMIR Publications, 2020-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundReporting 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....