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 tools as data-driven decision support for health and healthcare delivery. I am interested in outcome prediction, process optimization, and health communication. My research is funded by the NIH, AHRQ, and US-DOT.
Aside from research, as the Informatics Director of Clinical Decision Support at NewYork-Presbyterian Hospital, I also work on the implementation of prediction models into the electronic health record systems.
I am fluent in English, Japanese, and Chinese. I welcome global research collaborations.
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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.
PROCESS OPTIMIZATION
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.
+ see the white paper for model description, and docker container instruction for downloading the codes:
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
USA
