Actionable medical knowledge is often hidden in plain, unstructured text formats that are difficult for health systems to comprehend. Converting such textual data to knowledge is a critical step in transforming healthcare infrastructures into self-learning systems. In this talk, VG Vinod Vydiswaran, PhD, will present the role of medical natural language processing in creating and sustaining learning health systems, and its merits in addressing the information needs of individuals (patients and healthcare providers), inter-professional teams, and organizations. Specifically, he will focus on his past and current research on mining and analyzing online, community-generated health resources and discuss their impact on health information access, quality, and dissemination.