Prediction of Future Health Care Utilization Through Note-extracted Psychosocial Factors.

ABSTRACT:

Background

Persons with multimorbidity (≥2 chronic conditions) face an increased risk of poor health outcomes, especially as they age. Psychosocial factors such as social isolation, chronic stress, housing insecurity, and financial insecurity have been shown to exacerbate these outcomes, but are not routinely assessed during the clinical encounter. Our objective was to extract these concepts from chart notes using natural language processing and predict their impact on health care utilization for patients with multimorbidity.

Methods

A cohort study to predict the 1-year likelihood of hospitalizations and emergency department visits for patients 65+ with multimorbidity with and without psychosocial factors. Psychosocial factors were extracted from narrative notes; all other c

SUBMITTER: Dorr DA 

PROVIDER: S-EPMC9262845 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature