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April 29, 2026Clinical Microbiology Reviews3 citations

Implementation of pathogen genomics in clinical microbiology laboratories

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AGAndrew P. Gador-WhyteNSNorelle L. SherryABAnna Brischetto

Key Points

  • This review explores the implementation of pathogen genomics in clinical microbiology laboratories, focusing on benefits and barriers.
  • Overview of pathogen genomics and whole-genome sequencing
  • Assessment of barriers and enablers to implementation
  • Analysis of case studies and models of implementation
  • Discussion on future opportunities for genomics in clinical settings
  • Pathogen genomics can improve turnaround times for infection diagnosis
  • Identified key barriers include funding and trained staff
  • Clinical applications of machine learning in genomics analysis
  • Potential for direct-from-specimen sequencing to enhance diagnostics

Abstract

SUMMARYPathogen genomics, including whole-genome sequencing (WGS) and clinical metagenomics, is a transformative technology increasingly being implemented in clinical microbiology, including in hospital laboratories. Pathogen genomics can improve the control of healthcare-associated infections, provide rapid infection diagnosis, and could enable replacement of laborious microbiology tests. To date, real-world implementation of pathogen genome sequencing has primarily been limited to public health laboratories, but sequencing in the clinical microbiology setting has the potential to provide advantages, including turnaround time and ability to focus on local priorities. In this review, we consider the factors that represent barriers to, and potential enablers of, the implementation of pathogen genomics in clinical microbiology, including the availability of funding and genomics-trained staff. We outline key use cases and implementation models of pathogen genomics in clinical microbiology and suggest a broad framework for labs commencing sequencing. Finally, we consider future opportunities, including direct-from-specimen sequencing, the role of machine learning in genomics analysis, and the application of pathogen genomics to clinical decision support.

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Gador-Whyte et al. (2026) studied this question.

synapsesocial.com/papers/69f154a4879cb923c4944c51https://doi.org/10.1128/cmr.00177-25
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