معرفی
Dr. Sena Chae is an Assistant Professor in the College of Nursing at the University of Iowa. She holds a PhD in Nursing from the University of Iowa, an MS in Health Informatics from the same university, an MSN from Yonsei University (South Korea), and a BSN from CHA University (South Korea). Her research focuses on nursing informatics, data-driven solutions for symptom prediction, standardized nursing terminology (NIC/NOC), and symptom science. She has developed algorithms to extract symptom data from clinical notes and explores relationships between chronic conditions and symptoms in acute leukemia patients.
Dr. Chae’s work emphasizes leveraging health informatics for risk prediction in home healthcare, including models for hospitalization and emergency department visits. Her research integrates machine learning, natural language processing, and clinical decision support systems to improve patient outcomes. Notable projects include clustering cancer patients by symptom trajectories and validating nursing outcome classifications for cardiac disease.
- Education:
- PhD in Nursing, University of Iowa
- MS in Health Informatics, University of Iowa
- MSN in Nursing Education & Administration, Yonsei University
- BSN, CHA University
Her articles highlight trends in predictive analytics for home healthcare risks, natural language processing of clinical notes, and symptom trajectory modeling. She has contributed to improving the readability of mHealth apps for heart failure patients and explored concordance between POLST documentation and care practices.
Labs/Teams: Collaborates with the Center for Nursing Classification and Clinical Effectiveness (CNC) and the Iowa Center for Advancing Multimorbidity Science (CAMS).
Grants & Future Work: Focuses on innovativeness in healthcare progress through academia-practice collaboration, fairness in AI models, and symptom science in oncology and chronic disease management.
