Identifying individual social risk factors using unstructured data in electronic health records and their relationship with adverse clinical outcomesCallout box
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 Unive...
Main Authors: | S. Michaela Rikard, Bommae Kim, Jonathan D. Michel, Shayn M. Peirce, Laura E. Barnes, Michael D. Williams |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-09-01
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Series: | SSM: Population Health |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352827322001896 |
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