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ABSTRACT: Objective
This study aimed to develop a natural language processing (NLP) system that identified social risk factors in home health care (HHC) clinical notes and to examine the association between social risk factors and hospitalization or an emergency department (ED) visit.Design
Retrospective cohort study.Setting and participants
We used standardized assessments and clinical notes from one HHC agency located in the northeastern United States. This included 86,866 episodes of care for 65,593 unique patients. Patients received HHC services between 2015 and 2017.Methods
Guided by HHC experts, we created a vocabulary of social risk factors that influence hospitalization or ED visit risk in the HHC setting. We then developed an NLP system to automatically ident
SUBMITTER: Hobensack M
PROVIDER: S-EPMC10839109 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature