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.