{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["5(1)"],"submitter":["Luz CF"],"pubmed_abstract":["<h4>Objectives</h4>Insights about local antimicrobial resistance (AMR) levels and epidemiology are essential to guide decision-making processes in antimicrobial use. However, dedicated tools for reliable and reproducible AMR data analysis and reporting are often lacking. We aimed to compare traditional data analysis and reporting versus a new approach for reliable and reproducible AMR data analysis in a clinical setting.<h4>Methods</h4>Ten professionals who routinely work with AMR data were provided with blood culture test results including antimicrobial susceptibility results. Participants were asked to perform a detailed AMR data analysis in a two-round process: first using their software of choice and next using our newly developed software tool. Accuracy of the results and time spent w"],"journal":["JAC-antimicrobial resistance"],"pagination":["dlac143"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9847555"],"repository":["biostudies-literature"],"pubmed_title":["Better antimicrobial resistance data analysis and reporting in less time."],"pmcid":["PMC9847555"],"pubmed_authors":["Sinha B","Glasner C","Lokate M","Berends MS","Luz CF","Friedrich AW","Zhou X"],"additional_accession":[]},"is_claimable":false,"name":"Better antimicrobial resistance data analysis and reporting in less time.","description":"<h4>Objectives</h4>Insights about local antimicrobial resistance (AMR) levels and epidemiology are essential to guide decision-making processes in antimicrobial use. However, dedicated tools for reliable and reproducible AMR data analysis and reporting are often lacking. We aimed to compare traditional data analysis and reporting versus a new approach for reliable and reproducible AMR data analysis in a clinical setting.<h4>Methods</h4>Ten professionals who routinely work with AMR data were provided with blood culture test results including antimicrobial susceptibility results. Participants were asked to perform a detailed AMR data analysis in a two-round process: first using their software of choice and next using our newly developed software tool. Accuracy of the results and time spent w","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Feb","modification":"2025-04-22T01:03:56.066Z","creation":"2025-04-05T19:51:39.831Z"},"accession":"S-EPMC9847555","cross_references":{"pubmed":["36686270"],"doi":["10.1093/jacamr/dlac143"]}}