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...

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Detalles Bibliográficos
Autores principales: Joshi, Mugdha, Mecklai, Keizra, Rozenblum, Ronen, Samal, Lipika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
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

Internet

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

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