This study aims to enhance the utilization of data in the healthcare and welfare sectors by reviewing de-identification methods at the level of anonymization, comparing re-identification risks, and establishing systems for generating and managing de-identified data. The goal is to provide a foundation for the safe utilization and dissemination of data. By ensuring data security and providing a consistent approach to personal information protection, it is possible not only to comply with data protection regulations but also to build societal trust in the processes of data analysis and utilization.