Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes

OBJECTIVE: To determine the prevalence of individual-level social risk factors documented in unstructured data from electronic health records (EHRs) and the relationship between social risk factors and adverse clinical outcomes. STUDY SETTING: Inpatient encounters for adults (≥18 years) at the Unive...

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Detalles Bibliográficos
Autores principales: Rikard, S. Michaela, Kim, Bommae, Michel, Jonathan D., Peirce, Shayn M., Barnes, Laura E., Williams, Michael D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467895/
https://www.ncbi.nlm.nih.gov/pubmed/36111269
http://dx.doi.org/10.1016/j.ssmph.2022.101210

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9467895/
https://www.ncbi.nlm.nih.gov/pubmed/36111269
http://dx.doi.org/10.1016/j.ssmph.2022.101210

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