Technology for Healthcare through SDoH & Health Data Integration

Novel AI applications and solutions are needed in: cancer screening; disease management (clinical and health related quality of life) and equitable clinical decision making; utilization of digital health technologies, including wearables; improved medical algorithms, and the rapidly developing field of targeted precision healthcare. Through the Institute, collaborative interdisciplinary researchers will provide new knowledge to address research gaps and challenges in assessing, integrating, and leveraging data and prioritizing actionable factors with health-system data in ways that can improve population health. We aim to develop data science solutions to identify, assess, and develop strategies and targeted interventions for improved population health management.