Air quality a better predictor than income of who will use more healthcare
from Managed Healthcare Executive
A “machine learning” model from Jvion Inc. predicted which patients were most likely to be admitted to the hospital or visit the emergency department over a 90-day period, based on an algorithm fueled by easily obtained socioeconomic data: each patient’s age, gender, race and address. The study potentially offers health systems and policy makers a way to target groups of patients with "specific, individualized interventions to tackle detrimental social determinants of health," at both the household and neighborhood levels.
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