Jiyoun Song, PhD, AGACNP-BC, APRN, is a Lecturer at the University of Pennsylvania School of Nursing. Dr. Song’s research is focused on utilizing artificial intelligence to enhance clinical decision-making. Her primary areas of interest include developing 1) tailored clinical decision support systems for individual patients to improve outcomes and reduce negative events, including rehospitalization, and 2) predictive modeling to identify at-risk patients using multidimensional approaches such as quantitative statistics and machine learning. Her work revolves around extracting valuable information from narrative clinical notes or verbal communication using natural language processing and speech recognition—a subset of artificial intelligence. By exploring these information-rich data streams, she aims to address the gaps left by standardized assessment tools in current medical practice, which may lead to the loss of critical information when converted into structured data for EHR.