Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomes.

ABSTRACT:

Objective

To determine the prevalence of individual-level social risk factors documented in unstructured data from electronic health records (EHRs) and the relationship between social risk factors and adverse clinical outcomes.

Study setting

Inpatient encounters for adults (≥18 years) at the University of Virginia Medical Center during a 12-month study period between July 2018 and June 2019. Inpatient encounters for labor and delivery patients were excluded, as well as encounters where the patient was discharged to hospice, left against medical advice, or expired in the hospital. The study population included 21,402 inpatient admissions, representing 15,116 unique patients who had at least one inpatient admission during the study period.

Study design

We identified mea

SUBMITTER: Rikard SM 

PROVIDER: S-EPMC9467895 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature