Leveraging natural language processing to augment structured social determinants of health data in the electronic health record.

Kevin Lybarger Nicholas J DobbinsRitche LongAngad SinghPatrick WedgeworthÖzlem UzunerMeliha Yetisgen

Published in: Journal of the American Medical Informatics Association : JAMIA (2023)

Utilizing EHR data to identify SDOH health risk factors and social needs may improve patient care and outcomes. Semantic representations of text-encoded SDOH information can augment existing structured data, and this more comprehensive SDOH representation can assist health systems in identifying and addressing these social needs.

Keyphrases

electronic health record
healthcare
mental health
clinical decision support
risk factors
health information
public health
adverse drug
working memory
machine learning
smoking cessation
metabolic syndrome
insulin resistance
human health
climate change
deep learning