Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies.
artificial intelligence
automation
biobanking
clinical microbiology
consolidation
surveillance
Journal
Clinical microbiology reviews
ISSN: 1098-6618
Titre abrégé: Clin Microbiol Rev
Pays: United States
ID NLM: 8807282
Informations de publication
Date de publication:
18 03 2020
18 03 2020
Historique:
entrez:
28
2
2020
pubmed:
28
2
2020
medline:
30
4
2021
Statut:
epublish
Résumé
Clinical microbiology is experiencing revolutionary advances in the deployment of molecular, genome sequencing-based, and mass spectrometry-driven detection, identification, and characterization assays. Laboratory automation and the linkage of information systems for big(ger) data management, including artificial intelligence (AI) approaches, also are being introduced. The initial optimism associated with these developments has now entered a more reality-driven phase of reflection on the significant challenges, complexities, and health care benefits posed by these innovations. With this in mind, the ongoing process of clinical laboratory consolidation, covering large geographical regions, represents an opportunity for the efficient and cost-effective introduction of new laboratory technologies and improvements in translational research and development. This will further define and generate the mandatory infrastructure used in validation and implementation of newer high-throughput diagnostic approaches. Effective, structured access to large numbers of well-documented biobanked biological materials from networked laboratories will release countless opportunities for clinical and scientific infectious disease research and will generate positive health care impacts. We describe why consolidation of clinical microbiology laboratories will generate quality benefits for many, if not most, aspects of the services separate institutions already provided individually. We also define the important role of innovative and large-scale diagnostic platforms. Such platforms lend themselves particularly well to computational (AI)-driven genomics and bioinformatics applications. These and other diagnostic innovations will allow for better infectious disease detection, surveillance, and prevention with novel translational research and optimized (diagnostic) product and service development opportunities as key results.
Identifiants
pubmed: 32102900
pii: 33/2/e00057-19
doi: 10.1128/CMR.00057-19
pmc: PMC7048017
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2020 American Society for Microbiology.
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