Algorithms developed by Indiana University-Purdue University Indianapolis and the Regenstrief Institute have been shown to accurately predict the need for social determinants of health (SDOH) service referrals among patients at a safety-net hospital by leveraging clinical and community-level data.
IUPUI and Regenstrief researchers utilized data from 48 socioeconomic and public health indicators to build the “random forest” decision models predicting the need for mental health, dietitian, social work and other SDOH service referrals for patients at Eskenazi Health in Indianapolis.
