Evaluating the comparability of patient-level social risk data extracted from electronic health records: A systematic scoping review.

Linfield, Gaia H; Patel, Shyam; Ko, Hee Joo; Lacar, Benjamin; Gottlieb, Laura M; Adler-Milstein, Julia; Singh, Nina V; Pantell, Matthew S; De Marchis, Emilia H

Linfield, Gaia H; Patel, Shyam; Ko, Hee Joo; Lacar, Benjamin; Gottlieb, Laura M; Adler-Milstein, Julia; Singh, Nina V; Pantell, Matthew S; De Marchis, Emilia H.

Afiliação

Linfield GH; School of Medicine, University of California, San Francisco, CA, USA.
Patel S; School of Medicine, University of California, San Francisco, CA, USA.
Ko HJ; School of Medicine, University of California, San Francisco, CA, USA.
Lacar B; Bakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA, USA; Berkeley Institute for Data Science, University of California, Berkeley.
Gottlieb LM; Department of Family & Community Medicine, University of California, San Francisco, CA, USA.
Adler-Milstein J; School of Medicine, University of California, San Francisco, CA, USA; Center for Clinical Informatics and Improvement Research, University of California, San Francisco, CA, USA.
Singh NV; California School of Professional Psychology, Alliant International University, Emeryvilla, CA, USA.
Pantell MS; Department of Pediatrics, University of California, San Francisco, CA, USA.
De Marchis EH; Department of Family & Community Medicine, University of California, San Francisco, CA, USA.

Health Informatics J ; 29(3): 14604582231200300, 2023.

Article em En | MEDLINE | ID: mdl-37677012

Assuntos

Registros Eletrônicos de Saúde; Apoio Social; Humanos

Palavras-chave

data mining; electronic health records; machine learning; social determinants of health; social domains; social risk factors; structured data; unstructured data

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Apoio Social / Registros Eletrônicos de Saúde Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies / Systematic_reviews Aspecto: Determinantes_sociais_saude / Equity_inequality Limite: Humans Idioma: En Revista: Health Informatics J Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Reino Unido

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google