Automated surveillance systems for healthcare-associated infections: results from a European survey and experiences from real-life utilization.
Background: As most automated surveillance (AS) methods to detect healthcare-associated infections (HAIs) have been developed and implemented in research settings, information about the feasibility of large-scale implementation is scarce.Aim: To describe key aspects of the design of AS systems and i...
| Publicado en: | Journal of Hospital Infection Vol. 122; pp. 35 - 44 |
|---|---|
| Autores principales: | , , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
W B Saunders
Apr2022
|
| Acceso en línea: | Ver este registro en EBSCOhost |