Automated Cluster Detection of Health Care–Associated Infection Based on the Multisource Surveillance of Process Data in the Area Network: Retrospective Study of Algorithm Development and Validation

BACKGROUND: The cluster detection of health care–associated infections (HAIs) is crucial for identifying HAI outbreaks in the early stages. OBJECTIVE: We aimed to verify whether multisource surveillance based on the process data in an area network can be effective in detecting HAI clusters. METHODS:...

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Detalles Bibliográficos
Autores principales: Fan, Yunzhou, Wu, Yanyan, Cao, Xiongjing, Zou, Junning, Zhu, Ming, Dai, Di, Lu, Lin, Yin, Xiaoxv, Xiong, Lijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647819/
https://www.ncbi.nlm.nih.gov/pubmed/32965228
http://dx.doi.org/10.2196/16901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7647819/
https://www.ncbi.nlm.nih.gov/pubmed/32965228
http://dx.doi.org/10.2196/16901

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