At present,with the development of medical technology,the amount of medical data is increasing,in face of the shortcomings like the complexity of information,lack of structure,flexible changes,as well as the lack of scientific medical data management platforms at home and abroad,this paper presents a child epilepsy Data platform.This platform can extract quantitative data of structural epilepsy from the description of the complex and redundant text,which makes the data analysis and data mining more convenient and provides the basis for the future intelligent diagnosis,prediction and intelligent prognosis of epilepsy.At the same time,this paper introduces the platform database,server language and the construction of back-end and front-end of platform.The paper also introduces the technology and method of data-oriented management platform from requirement analysis,platform design to implementation stage.Through continuous testing and communication with doctors,developers finally established a data-driven system that is efficient in storing,managing and transferring and exporting medical data,which is also expandable,robust and stable.