All you need is trajectories: personal health management with health utilization data
On-campus talk
Ki-Bong Yoo
Associate Professor at Yonsei University
Past Talk
Hybrid talk
Thursday
Apr 25, 2024
Watch video
4:00 pm
EST
Virtual
177 Huntington Ave.
11th floor
11th floor
Devon House
58 St Katharine's Way
London E1W 1LP, UK
58 St Katharine's Way
London E1W 1LP, UK
In public health perspectives, the best approach to health management is to prevent illness or detect it early. This requires a massive health promotion program and organized health screening. While this can be difficult to accomplish due to cost-effectiveness, what if we utilize existing accumulated data? I propose focusing on health utilization history and its trajectories to enhance a highly cost-effective health management program. It is possible to predict various health risks with almost no additional costs and examination. In my talk, I will introduce the national health insurance system and its data in South Korea, and examples of how health utilization trajectories contribute to health risks and health management, as well as how to apply them in government policy. I also will discuss the utilization of disease progression networks, which I plan to research this year at Northeastern University.
About the speaker
About the speaker
Ki-Bong Yoo is currently an Associate Professor at Yonsei University, primarily in the Department of Health Administration, and affiliated with the Department of Digital Healthcare and the Department of Data Science. He is also one of the Big Data Research Specialists at National Health Insurance Service in Korea. He received his master's degree and PhD in Public Health from Yonsei University, South Korea, and his bachelor's degree from Hongik University, South Korea. Prior to his PhD, he worked as a software developer at GE Healthcare IT. As a Data Scientist, his research focuses on health policy evaluation, determinants of health, and recently, disease incidence and unrecognized patient detection using public health data, particularly national health insurance claims data. He plans to research disease networks at Northeastern University in 2024 during his Visiting Faculty appointment.
Ki-Bong Yoo is currently an Associate Professor at Yonsei University, primarily in the Department of Health Administration, and affiliated with the Department of Digital Healthcare and the Department of Data Science. He is also one of the Big Data Research Specialists at National Health Insurance Service in Korea. He received his master's degree and PhD in Public Health from Yonsei University, South Korea, and his bachelor's degree from Hongik University, South Korea. Prior to his PhD, he worked as a software developer at GE Healthcare IT. As a Data Scientist, his research focuses on health policy evaluation, determinants of health, and recently, disease incidence and unrecognized patient detection using public health data, particularly national health insurance claims data. He plans to research disease networks at Northeastern University in 2024 during his Visiting Faculty appointment.
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