How can we use data and technology to assist with decision-making in health and healthcare delivery?
A central theme of my research is concerned with developing health informatics and data science algorithms as data-driven decision support for health and healthcare delivery. I am interested in a broad spectrum of healthcare problems, including outcome prediction, process optimization, and health communication. My work is funded by the NIH, AHRQ, and US-DOT.
Aside from research, I direct the MS program in Health Informatics, and teach data management at Cornell University. I also will be the Informatics Director of Clinical Decision Support at NewYork-Presbyterian Hospital in the summer of 2022.
SELECTED RESEARCH PROJECTS
MACHINE LEARNING ALGORITHM DEVELOPMENT
The application of AI in health requires a deep knowledge about the methodology and the domain. We develop customized algorithms for data-driven clinical decision support.
The electronic health record captures a wealth of data on clinician decisions and activities. We study these logs to propose optimization in the clinical workflow.
SOCIAL DETERMINANTS OF HEALTH
SPECIAL (SUPPORTING PREGNANCY CARE USING ARTIFICIAL INTELLIGENCE)
Maternal health remains an understudied area in Health Informatics. We aim to improve care process and outcomes using AI.
docker pull ichiyoz/ppd
GET IN TOUCH
I am looking for a research assistant to join my team!
Weill Cornell Medicine, Department of Healthcare Policy and Research, Division of Health Informatics
425 E 61st St
New York, New York County 10065