Editorial: Clinical impact of fast platforms and laboratory automation for the rapid diagnosis of infectious diseases and detection of antimicrobial resistance determinants

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Editorial on the Research TopicClinical impact of fast platforms and laboratory automation for the rapid diagnosis of infectious diseases and detection of antimicrobial resistance determinantsInfectious diseases remain a significant global health threat, exacerbated by the emergence of antimicrobial resistance (Centers for Disease Control and Prevention, 2019;Baquero et al., 2021; European Centre for Disease Prevention and Control, 2022; World Health Organization, 2022).Accurate and timely microbiological diagnosis is vital for effective patient management, infection control, and antimicrobial stewardship (Morency-Potvin et al., 2019).The availability of fast platforms and laboratory automation have revolutionized clinical microbiology improving the speed and precision of diagnosing infectious diseases (Özenci and Rossolini, 2019;Trotter et al., 2019).Traditional diagnostic methods, such as culturebased techniques, are time-consuming and may take several days to yield results.In contrast, automated platforms like polymerase chain reaction (PCR) and next-generation sequencing (NGS) can rapidly identify pathogens directly from clinical specimens.This rapidity allows for the prompt initiation of appropriate treatment, reducing the risk of complications and transmission to other patients, all while aligning with the principles of diagnostic stewardship (Dien Bard and McElvania, 2020;Hilt and Ferrieri, 2022).Diagnostic stewardship is a healthcare concept and practice that focuses on the responsible and judicious use of diagnostic tests and procedures to improve patient care, enhance clinical outcomes, and optimize resource utilization.It is closely related to antimicrobial stewardship, which primarily deals with the appropriate use of antibiotics to combat antimicrobial resistance.Diagnostic stewardship, on the other hand, Frontiers in Cellular and Infection Microbiology frontiersin.