Literature DB >> 32102900

Consolidation of Clinical Microbiology Laboratories and Introduction of Transformative Technologies.

Zisis Kozlakidis1, Alex van Belkum2, Olivier Vandenberg3,4, Géraldine Durand5, Marie Hallin6, Andreas Diefenbach7,8, Vanya Gant9, Patrick Murray10.   

Abstract

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.
Copyright © 2020 American Society for Microbiology.

Keywords:  artificial intelligence; automation; biobanking; clinical microbiology; consolidation; surveillance

Mesh:

Year:  2020        PMID: 32102900      PMCID: PMC7048017          DOI: 10.1128/CMR.00057-19

Source DB:  PubMed          Journal:  Clin Microbiol Rev        ISSN: 0893-8512            Impact factor:   26.132


  119 in total

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8.  Use of Whole-Genome Sequencing in the Investigation of a Nosocomial Influenza Virus Outbreak.

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Journal:  BMC Microbiol       Date:  2018-10-24       Impact factor: 3.605

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2.  Digitalization, clinical microbiology and infectious diseases.

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5.  Clinical Application and Influencing Factor Analysis of Metagenomic Next-Generation Sequencing (mNGS) in ICU Patients With Sepsis.

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Review 6.  Considerations for diagnostic COVID-19 tests.

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  6 in total

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