Young Ji Lee

Associate Professor of Nursing and Medicine
Vice Chair of Administration
Health & Community Systems


I have not only a background in health informatics, but also specific training and expertise in big data analysis using various methods including network analysis, text mining, and traditional statistical approaches. My research involves structuring and delivering health information through the Internet to diverse groups—especially minority populations. Currently, I am the PI for NIH-funded study, to build and implement a personalized information access system for ovarian cancer patients with a hybrid recommender engine that adapts to different patient needs: HELPeR—Health E-Librarian with Personalized Recommendations (R01LM013038). This study will be the first study to guide cancer patients’ decision-making and self-management activities by providing a navigational support to locate appropriate information on the Internet. Moreover, I have led a pilot study that embeds infographics in the P2aTH project (PCORI CDRN-1306-04912) to develop and validate patient-centered infographics with vulnerable population to support the decision making of patients between therapeutic options. My current project is to apply network analysis to social media data to understand patterns of symptom cluster and unmet needs among ovarian cancer survivors. 


I teach NURSP 2075 Intro to Health Informatics (both face-to-face and online classes), NURSP 2076 Clinical Information System (online only), and NURSP 2085 and 2086 Nursing Informatics practicum I and II. 


I have leveraged my scholarship to make an impact through national, community, and university service. My reputation as an informatics researcher has led to serving as an ad hoc NIH grant reviewer in 2020. In recognition of my leadership potential, I was selected as an Alliance for Nursing Informatics (ANI) Emerging Leader and was elected as a Member-at-Large of the American Medical Informatics Association (AMIA) Nursing Informatics Working Group. I served as a member of the Advisory Committee of the American Nurses Association (ANA), Connected Health/Telehealth Professional Issues Panel, and contributed to revising the ANA Core Principles on Telehealth