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Better antimicrobial resistance data analysis and reporting in less time.

Christian F LuzMatthijs S BerendsXuewei ZhouMariëtte LokateAlex W FriedrichBhanu SinhaCorinna Glasner
Published in: JAC-antimicrobial resistance (2023)
This study demonstrated the significant improvement in efficiency and accuracy in standard AMR data analysis and reporting workflows through open-source software. Integrating these tools in clinical settings can democratize the access to fast and reliable insights about local microbial epidemiology and associated AMR levels. Thereby, our approach can support evidence-based decision-making processes in the use of antimicrobials.
Keyphrases
  • data analysis
  • antimicrobial resistance
  • decision making
  • adverse drug
  • microbial community
  • risk factors