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  • To help providers identify primary care patients with social risks, researchers at Regenstrief Institute and Indiana University turned to machine learning technology. The team developed Uppstroms, a machine learning application that identifies patients who may need referrals to wraparound services.
  • To further improve the performance of the Uppstroms app, researchers recently incorporated additional social determinants of health data into the algorithm, including insurance, medication history, and behavioral health history.
  • “When patients come in for a primary care appointment, the model will pull all of the data available on their clinical background, demographics, and social factors, and use it to identify additional services they may need,” said Kasthurirathne. “Maybe you’re at high risk for depression, or you recently became unemployed. Maybe you're suffering from abuse. With the Uppstroms app, providers can point patients to additional services that will help take care of these non-clinical needs.”

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