Using Applied Machine Learning to Predict Healthcare Utilization Based on Socioeconomic Determinants of Care

This study, published in the American Journal of Managed Care (AJMC), demonstrates how AI can stratify patients’ risk of utilization without interacting with the patient or collecting information beyond the patient’s age, gender, race, and address. This application has the potential to positively impact health systems by facilitating targeted patient outreach with specific, individualized interventions to tackle their detrimental social determinants, not only at the individual level but also the neighborhood level. Download the abstract for a summary of the study and its key takeaways.

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