# Multifactorial impacts of blood culture process optimization on clinical outcomes and healthcare economics in bloodstream infection management

**Authors:** Lipeng Wang, Fengzhen Yang, Chunling Zhou, Xiaochen Yang, Jincheng Rong, Xiaohui Chi, Rui Guo, Na Li, Li Sheng, Lihua Jiang, Qi Zhao, Maoli Yi

PMC · DOI: 10.3389/fcimb.2026.1699905 · Frontiers in Cellular and Infection Microbiology · 2026-03-13

## TL;DR

Optimizing blood culture workflows significantly improves clinical outcomes and reduces healthcare costs in managing bloodstream infections.

## Contribution

The study quantifies the clinical and economic impacts of phased workflow optimizations in blood culture processes.

## Key findings

- Phase I reduced Gram-stain reporting time from 33.3 h to 25.7 h and species identification from 72.5 h to 42.6 h.
- Phase II achieved further reductions in Gram-stain (17.9 h), identification (36.4 h), and AST reporting (63.4 h).
- Phase III accelerated therapeutic guidance from 63.4 h to 47.2 h using automated preliminary AST reporting.

## Abstract

To investigate the clinical and health economic impacts of individual workflow components. The effects of phased process optimizations were quantified using empirical data.

From August 2023 to October 2024, the outcomes before and after workflow optimization were compared. The control group comprised patients processed under conventional protocols, while the experimental group included those managed with optimized workflows.

Phase I revealed significant temporal reductions through MALDI-TOF enhanced biofilm identification. The Gram-stain reporting time decreased from 33.3 h to 25.7 h (P < 0.05), species identification from 72.5 h to 42.6 h (P < 0.05). Phase II implementation of 24/7 processing via BacT/Alert Virtuo achieved marked improvements across all metrics, namely Gram-stain (37.4 h vs, 17.9 h), identification (42.6 h vs. 36.4 h) and AST reporting (68.4 h vs. 63.4 h) (all P < 0.05). Phase III optimization through Advanced Expert System (AES)-enabled automated preliminary AST reporting during off-hours significantly accelerated therapeutic guidance (63.4 h vs. 47.2 h, P < 0.05).

Quantitative analysis of these optimizations elucidated their differential impacts on blood culture workflows and prognostic determinants. These findings advocate for laboratory innovation as a driver of antimicrobial stewardship and precision medicine for management of microbial bloodstream infections.

## Full-text entities

- **Diseases:** bloodstream infection (MESH:D018805)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13021603/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC13021603/full.md

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Source: https://tomesphere.com/paper/PMC13021603