Tools and challenges in the use of routine clinical data for antimicrobial resistance surveillance
Kathryn E. Holt, Megan E. Carey, Clare Chandler, James Cross, Zoe A. Dyson, Nicholas Furnham, R. E. Glover, Mollie Virgo, Gwenan M. Knight
Abstract
Routine clinical microbiology data are widely used for antimicrobial resistance (AMR) surveillance, but data availability and quality vary. In this Perspective, we explore the technical challenges of utilising routine data to inform action at various levels, and summarise emerging open-source technical solutions for hospital-level data collection, aggregation, and sharing. We highlight a need for agreed-upon data standards, and tools that support both facility-level and public health surveillance.
Topics & Concepts
Data qualityData collectionData sharingData scienceQuality (philosophy)Antibiotic resistanceComputer scienceMedicineEngineeringOperations managementAlternative medicineEpistemologyPhilosophyMicrobiologyBiologyPathologyAntibioticsMathematicsMetric (unit)StatisticsBacterial Identification and Susceptibility TestingAntibiotic Use and ResistanceAntibiotic Resistance in Bacteria