Objective:To establish a special disease database based on clinical diagnosis and treatment data of pediatric allergic diseases so as to provide data support for multidisciplinary diagnosis and treatment and maximize the role of information technology in promoting the improvement of clinical diagnosis and treatment level and medical research progress.Methods:Based on the clinical diagnosis and treatment data of children with allergic diseases in Shanghai Children's Hospital from January 2013 to July 2018,the clinical data was uniformly cleaned and stored using the extract-transform-load technology.The structured indicators in the original business system were mapped and standardized,while the unstructured content was manually labelled.Natural language processing technology was then applied for post-structured governance to create a specialized disease data model,which was used to build a dedicated pediatric allergic disease database.Results&Conclusion:The special disease database consists of 6 thematic data modules,including 16 items and 60 fields.We have achieved the collection and standardization of clinical diagnosis and treatment data for 333 029 children with allergic diseases,and further explored the distribution of diseases.The establishment of a special database for pediatric allergic diseases has enabled the storage,mining,and analysis of massive clinical data in the real world,providing support for the subsequent expansion of database based specialized management and decision-making assistance.
NETL
NSTL
万方数据
