A practical guide to structured data processing for antimicrobial resistance surveillance

Background

Efforts have been made to standardize antimicrobial resistance (AMR) data collection globally. There remain challenges in improving the efficiency of data collection and processing to enable comparison of high-quality AMR data across settings. We aimed to design a causal analytic workflow to standardize data processing and provide structure for quality monitoring using a generic raw data structure.