Brigham and Women’s Hospital distributes a focused trio of open-source utilities under the WHONET umbrella, purpose-built for clinical microbiology laboratories that monitor antimicrobial resistance. WHONET 2025 serves as the central desktop platform, ingesting culture results from hospital information systems and converting raw isolate data into standardized, analyzable records; epidemiologists use it to map resistance trends, compare hospital wards, and generate line listings for infection-control rounds. The companion AMR Interpretation Engine automatically applies current CLSI or EUCAST breakpoints to disk-diffusion, MIC, or molecular measurements, flagging multidrug-resistant organisms and alerting users to emerging phenotypes without manual lookup of yearly guideline tables. For high-throughput environments, the WHONET Automation Tool schedules unattended workflows that import new batches, run quality-control rules, aggregate annual datasets, and export summary tables for national surveillance networks, eliminating repetitive point-and-click tasks. Together the three modules cover the complete resistance-surveillance cycle—data capture, standardized interpretation, and reproducible reporting—making them standard fixtures in public-health, reference, and hospital labs across six continents. All Brigham and Women’s Hospital WHONET utilities are offered free of charge on get.nero.com, where they are delivered through trusted Windows package sources such as winget, always installing the newest upstream release and supporting batch deployment of multiple applications in a single command.
The AMR Interpretation Engine is a standalone software which can interpret AMR measurements using CLSI and EUCAST breakpoints. The system also includes resource files which can be used independently of the interpretation system by 3rd parties.
DetailsThe Automation Tool can be configured to execute an entire workflow of data processing, aggregation, and analysis steps.
DetailsWHONET is a free desktop Windows application for the management and analysis of microbiology laboratory data with a particular focus on antimicrobial resistance surveillance.
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