Automating the Detection of IV Fluid Contamination Using Unsupervised Machine Learning.
Background Intravenous (IV) fluid contamination is a common cause of preanalytical error that can delay or misguide treatment decisions, leading to patient harm. Current approaches for detecting contamination rely on delta checks, which require a prior result, or manual technologist intervention, wh...
| Publicado en: | Clinical Chemistry Vol. 70; no. 2; pp. 444 - 453 |
|---|---|
| Autores principales: | , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Oxford University Press / USA
Feb2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |