All of Us Risk Modeling

Problem and Need for the Study

Personalized medicine requires accurate risk modeling tools to guide interventions and preventative care. However, these tools are not equitable unless they are tailored to different racial and ethnic groups. Risk prediction tools based on mainly white populations may lead to misdiagnosis and poor health outcomes for nonwhite patients. Developing risk models for minority groups based on local health system data is difficult as they are often underrepresented, leading to a small sample size. The All of Us program offers whole genome sequencing, Electronic Health Record, and patient reported outcomes data from a diverse cohort of patients who are underrepresented in biomedical research.

Innovation and Impact

Our goal is to use All of Us program data to develop new, equitable methods for risk modeling that are tailored to minority groups. Initially, we will develop risk prediction models for rheumatoid arthritis and cardiotoxicity. By incorporating data from diverse patient cohorts, we aim to produce a model that is more accurate and fair across racial and ethnic groups. These risk models will then be adapted for use with local health system data. This project will not only advance healthcare equity, but also provide researchers with innovative ways to work with All of Us program data, demonstrating the potential impact this program can have on healthcare.