Classification and data modeling of essential health institutional information

    WANG Rui, XU Yongª²Yong, LIU Danª²Hong, RAO Keª²Qin, WU Xiaoª²Ling, YANG Peng

    Department of Health Statistics, School of Preventive Medicine, Fourth Military Medical University, Xi¬ðan 710033, China, Center of Statistics Information£¬Ministry of Health, Beijing 100044, China

    ¡¾Abstract¡¿ AIM: To explore thinking process and approaches of standardization of national health information data elements by classifying and modeling essential health institutional information. METHODS: Essential health institutional information were classified and abstracted according to national health information conceptual data model, and data modeling was performed by UML method, and data elements were standardized based on available standards. RESULTS: Essential health institutional information was classified and represented by object diagram, and data elements were standardized. CONCLUSION: We have summarized a set of thinking process and approaches of standardization of data elements by classifying and modeling essential health institutional information, which can provide scientific evidences for standardization of national health information and reformation of health statistical survey institution. ......