In recent years the availability of new, automated, and fast technologies has drastically improved the diagnostic potential of the Clinical Microbiology Laboratory. Furthermore, the COVID-19 pandemic, with the consequent necessity to offer access to advanced diagnostics in remote settings also, has renewed the interest in telemedicine and telemicrobiology approaches.
However, clinical evidence of the advantage of adopting new technologies and telemicrobiology for the Clinical Microbiology Laboratory is lacking and studies correlating technological investments with improved clinical outcomes for patients with severe infections are urgently needed.
The aim of this Research Topic is to gather real-life experiences of the implementation of new diagnostic approaches in the Clinical Microbiology Laboratory for the rapid diagnosis of infections and antimicrobial resistance determinants detection. The objective is to provide clear evidence that introducing innovation in the Laboratory setting, including rapid molecular and phenotypic testing and sequencing-based approaches, leads to benefits for patients with time-dependent infective syndromes and for antimicrobial stewardship programs. Moreover, studies on the clinical impact of automated laboratory systems and artificial intelligence applied to bacteriology, speeding up the diagnosis and clinical management of time-dependent infections, are of utmost interest.
The aim of this Research Topic is to provide clear evidence of the clinical advantages deriving from innovation in the Clinical Microbiology Laboratory.
Themes:
• Clinical impact of the implementation of fast-microbiology diagnostics
• Impact of fast-microbiology on antibiotics use
• Laboratory automation in the front-end bacteriology processing
• Artificial intelligence
• Telemicrobiology, telemedicine, and new communication strategies
Original articles, brief research reports, case reports, and reviews are welcome.
In recent years the availability of new, automated, and fast technologies has drastically improved the diagnostic potential of the Clinical Microbiology Laboratory. Furthermore, the COVID-19 pandemic, with the consequent necessity to offer access to advanced diagnostics in remote settings also, has renewed the interest in telemedicine and telemicrobiology approaches.
However, clinical evidence of the advantage of adopting new technologies and telemicrobiology for the Clinical Microbiology Laboratory is lacking and studies correlating technological investments with improved clinical outcomes for patients with severe infections are urgently needed.
The aim of this Research Topic is to gather real-life experiences of the implementation of new diagnostic approaches in the Clinical Microbiology Laboratory for the rapid diagnosis of infections and antimicrobial resistance determinants detection. The objective is to provide clear evidence that introducing innovation in the Laboratory setting, including rapid molecular and phenotypic testing and sequencing-based approaches, leads to benefits for patients with time-dependent infective syndromes and for antimicrobial stewardship programs. Moreover, studies on the clinical impact of automated laboratory systems and artificial intelligence applied to bacteriology, speeding up the diagnosis and clinical management of time-dependent infections, are of utmost interest.
The aim of this Research Topic is to provide clear evidence of the clinical advantages deriving from innovation in the Clinical Microbiology Laboratory.
Themes:
• Clinical impact of the implementation of fast-microbiology diagnostics
• Impact of fast-microbiology on antibiotics use
• Laboratory automation in the front-end bacteriology processing
• Artificial intelligence
• Telemicrobiology, telemedicine, and new communication strategies
Original articles, brief research reports, case reports, and reviews are welcome.
