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Putting numbers on the economics of WGS

Updated: Jun 20

Bacterial HAIs are a substantial source of global morbidity and mortality, resulting in increased length of hospital stay and high healthcare costs. At Genpax, we're often asked what the benefit of adopting a WGS led intervention strategy could have on hospitals systems, so we developed at thorough model to work it out.

Our findings will be presented at the forthcoming ASM Microbe 23 meeting in Houston in June. If you would like further information, a copy of the poster, the model, or materials submitted for publication, please contact us directly.

Economic and health impact modelling of a Whole Genome Sequencing-led intervention strategy for bacterial Healthcare-Associated Infections for England and for the USA.

J. M. Fox, N. J. Saunders & S. H. Jerwood

Bacterial healthcare-associated infections (HAI) are a substantial source of global morbidity and mortality. The estimated cost associated with HAI ranges from $35 to $45 billion in the United States of America (USA) alone.

The costs and accessibility of whole genome sequencing (WGS) of bacteria and the lack of sufficiently accurate, high-resolution, scalable and accessible analysis for strain identification are being addressed. Thus, it is timely to determine the economic viability and impact of routine diagnostic bacterial genomics.

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