Jiyoun Song, PhD, AGACNP-BC, APRN, is an NRSA Postdoctoral Research Fellow at the NewCourtland Center for Transitions and Health at the University of Pennsylvania School of Nursing, sponsored by the National Institute of Nursing Research through the “Individualized Care for At-Risk Older Adults” program (T32NR009356).
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. She possesses extensive experience in managing and processing large datasets, enabling her to make more accurate predictions about patient outcomes. Additionally, her current 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 electronic health records.
Dr. Song received postdoctoral training in nursing informatics at Columbia University in the City of New York. She earned a PhD in Nursing Science and a Master of Science in Advanced Practice Nursing (specialty: Adult-Gerontology Acute Care) from Columbia University. Her Bachelor of Science in Nursing was completed at Gachon University in South Korea.
With 15 years of experience as a registered nurse and over seven years as a nurse practitioner, Dr. Song possesses a robust clinical background, with expertise in critical care, gerontology, and care transitions, including nursing homes and home health care. She is an active member of several professional societies, including American Medical Informatics Association, Sigma Theta Tau International the Honor Society of Nursing, Eastern Nursing Research Honor Society, Gerontological Society of America, Infectious Diseases Society of America, and Society for Healthcare Epidemiology of America.
Currently, Dr. Song holds leadership positions as chair for both the International Medical Informatics Association Student and Emerging Professionals Special Interest Group (IMIA SEP-SIG) and the International Medical Informatics Association Student and Emerging Professionals Special Interest Group Nursing Informatics (IMIA SEP-SIG NI) group.