Better antimicrobial resistance data analysis and reporting in less time.

ABSTRACT:

Objectives

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.

Methods

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

SUBMITTER: Luz CF 

PROVIDER: S-EPMC9847555 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature