AI tool strives to predict heart disease risk by including SDOH factors

OCHIN, a nonprofit health-information technology organization, is working with UMass Chan Medical School to develop an artificial intelligence tool that incorporates the social determinants of health alongside clinical data in the electronic health record to improve the prediction of heart disease risk. People facing housing instability, food insecurity, chronic stress and financial strain often struggle to keep appointments, take medications and follow care plans, which can contribute to higher blood pressure, worsening diabetes and other conditions that elevate risk of heart disease. By more accurately identifying patients at risk for heart disease, providers can treat patients sooner and direct them to resources to reduce their risk. The National Institute of Health is funding the research. (Healthcare Innovation article, 6/29/26)