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Using latent class analysis to inform the design of an EHR-based national chronic disease surveillance model

The Multi-state EHR-based Network for Disease Surveillance (MENDS) developed a pilot electronic health record (EHR) surveillance system capable of providing national chronic disease estimates. To strategically engage partner sites, MENDS conducted a latent class analysis (LCA) and grouped states by...

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Detalles Bibliográficos
Autores principales:	Nasuti, Laura, Andrews, Bonnie, Li, Wenjun, Wiltz, Jennifer, Hohman, Katherine H, Patanian, Miriam
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Short Reports
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515457/ https://www.ncbi.nlm.nih.gov/pubmed/35505590 http://dx.doi.org/10.1177/17423953221099043

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