Cargando…
Implementation approaches and barriers for rule-based and machine learning-based sepsis risk prediction tools: a qualitative study
OBJECTIVE: Many options are currently available for sepsis surveillance clinical decision support (CDS) from electronic medical record (EMR) vendors, third party, and homegrown models drawing on rule-based (RB) and machine learning (ML) algorithms. This study explores sepsis CDS implementation from...
| Autores principales: | , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9030109/ https://www.ncbi.nlm.nih.gov/pubmed/35474719 http://dx.doi.org/10.1093/jamiaopen/ooac022 |