Search
 
loader loading subjects...
cover
Identifying Patients with Significant Problems Related to Social Determinants of Health with Natural Language Processing
David Dorr, Cosmin A. Bejan, Christie Pizzimenti, Sumeet Singh, Matt Storer, Ana Quinones
1456 - 1457
10.3233/SHTI190482
Research Article
Studies in Health Technology and Informatics
Volume 264: MEDINFO 2019: Health and Wellbeing e-Networks for All
Abstract

Social and behavioral factors influence health but are infrequently recorded in electronic health records (EHRs). Here, we demonstrate that psychosocial vital signs can be extracted from EHR data. We processed structured and unstructured EHR data using expert-driven queries and Natural Language Processing (NLP), validating results through structured annotation. We found that although these vital signs are present in EHRs, with 681 structured entries identified for psychosocial concepts, NLP identified a nearly 90-fold increase in patients.

Download
Creative Commons License