Mining 100 million notes to find homelessness and adverse childhood experiences: 2 case studies of rare and severe social determinants of health in electronic health records.
AUTHORS
Bejan
CA ,
Angiolillo
J ,
Conway
D ,
Nash
R ,
Shirey-Rice
JK ,
Lipworth
L ,
Cronin
RM ,
Pulley
J ,
Kripalani
S ,
Barkin
S ,
Johnson
KB ,
Denny
JC ,
. Journal of the American Medical Informatics Association : JAMIA. 2018 1 1; 25(1). 61-71
- NIHMSID: 9430800
ABSTRACT
Understanding how to identify the social determinants of health from electronic health records (EHRs) could provide important insights to understand health or disease outcomes. We developed a methodology to capture 2 rare and severe social determinants of health, homelessness and adverse childhood experiences (ACEs), from a large EHR repository.
Understanding how to identify the social determinants of health from electronic health records (EHRs) could provide important insights to understand health or disease outcomes. We developed a methodology to capture 2 rare and severe social determinants of health, homelessness and adverse childhood experiences (ACEs), from a large EHR repository.
Tags: Faculty Publications 2018