Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards

Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards

IntroductionIn this study, we developed and validated a logistic regression-clustering joint model to: (1) quantify multistage workflow bottlenecks (collection/transport/reception) in urine culture pre-TAT prolongation (>115 min); and (2) assess the efficacy of targeted interventions derived...

Full description

Saved in:
Bibliographic Details
Main Authors: Shuangshuang Lv, Huan Ye, Yuan Li, Jian Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Digital Health
Subjects:
logistic regression model
urine microbial culture
pre-analytical turnaround time (pre-TAT)
medical quality control
process optimization
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2025.1603314/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.frontiersin.org/articles/10.3389/fdgth.2025.1603314/full

Similar Items