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Assessing the accuracy of electronic health record gender identity and REaL data at an academic medical center

BACKGROUND: Collection of accurate patient race, ethnicity, preferred language (REaL) and gender identity in the electronic health record (EHR) is essential for equitable and inclusive care. Misidentification of these factors limits quality measurement of health outcomes in at-risk populations. Ther...

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Detalles Bibliográficos
Autores principales:	Proumen, Rachael, Connolly, Hannah, Debick, Nadia Alexandra, Hopkins, Rachel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2023
Materias:	Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463428/ https://www.ncbi.nlm.nih.gov/pubmed/37608282 http://dx.doi.org/10.1186/s12913-023-09825-6

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