Purpose/Significance The establishment of a specialized database for children with attention deficit hyperactivity disorder(ADHD) aims to address the issues of low data usage efficiency caused by scattered and low-quality diagnostic data. Method/Process Based on clinical diagnostic data of children with ADHD from March 2020 to April 2024, natural language processing (NLP)techniques are utilized to realize the post-structuring of the data. Furthermore, standardization of the database is performed according to industry standards and treatment guidelines. Result/Conclusion The specialized database for children with ADHD is established, comprising data from 75 835 ADHD children and 280 000 clinical visits. This database supports various applications such as the analysis of basic characteristics of the ADHD population, prediction model construction, resource allocation optimization, and clinical pathway optimization.