Access to care affects EHR reliability and AI-driven disease prediction | Office Hours 4.10.26

In this video, Anna Zink, Ph.D., will present findings from her recent research examining how access to care shapes EHR reliability and the performance of AI-driven clinical prediction models within the All of Us Research Program. Her research sits at the intersection of healthcare, technology, and policy, with a focus on how machine learning and artificial intelligence are used to guide clinical and policy decision-making. Her work combines methods development with empirical evaluation to understand both the promise and the limitations of AI in real-world healthcare settings.

Recorded April 10, 2026