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Jiyoun Song explores the intersection of artificial intelligence, data science, and nursing scholarship to enhance healthcare delivery. Her research emphasizes the importance of nurse-generated data, clinical documentation, and communication in predictive modeling to optimize care and identify at-risk patients. With extensive experience in predictive modeling and natural language processing, she applies quantitative methods to address healthcare inequities and improve patient outcomes. Dr. Song is committed to advancing innovative approaches that leverage data science in healthcare, promoting equity-focused decision-making. Her teaching philosophy centers on interactive learning, encouraging students to apply analytical methods that reflect ethical considerations in nursing practice. She has also held various leadership roles within the medical informatics community, actively engaging with interdisciplinary collaborations at institutions like Columbia University and Harvard University to advance applied clinical informatics research.
Wharton Doctoral programs cover fields like Finance, Marketing, Management, and Operations, Information and Decisions.