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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. 

 

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SELECTED RESEARCH PROJECTS

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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.

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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.

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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.

Development and validation of a machine learning algorithm for predicting the risk of postpartum depression among pregnant women

+ 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

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