1019. Defining electronic patient phenotypes to inform risk-adjustment strategies in hospital antimicrobial use comparisons

BACKGROUND: Comparison of antimicrobial use (AU) rates among hospitals can identify areas to intervene for antimicrobial stewardship. Hospital AU interpretation is difficult without risk-adjustment for patient mix. Identifying high- or low-risk patient characteristics, or “electronic phenotypes,” fo...

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Detalles Bibliográficos
Autores principales: Moehring, Rebekah W, Phelan, Matthew, Lofgren, Eric, Nelson, Alicia, Neuhauser, Melinda M, Hicks, Lauri, Dodds Ashley, Elizabeth, Anderson, Deverick J, Goldstein, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810915/
http://dx.doi.org/10.1093/ofid/ofz360.883

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6810915/
http://dx.doi.org/10.1093/ofid/ofz360.883

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