Yuanyuan Kong, Guiling Gao, Qinghui Zhang, Xiaoqin Guo. Practice of management of auto-reporting of communicable diseases based on electronic medical records[J]. Disease Surveillance, 2019, 34(6): 576-580. DOI: 10.3784/j.issn.1003-9961.2019.06.022
Citation: Yuanyuan Kong, Guiling Gao, Qinghui Zhang, Xiaoqin Guo. Practice of management of auto-reporting of communicable diseases based on electronic medical records[J]. Disease Surveillance, 2019, 34(6): 576-580. DOI: 10.3784/j.issn.1003-9961.2019.06.022

Practice of management of auto-reporting of communicable diseases based on electronic medical records

  • ObjectiveTo explore the data exchange and management mode of regional health information platform based on electronic medical records.
    MethodsBased on the regional health information platform, the information of communicable diseases were reported from medical institutions to the national infectious disease reporting system through 3 data exchange methods (intelligent reminding plug-in, standardized interface at background and page reporting).
    ResultsThe intelligent infectious diseases reporting system based on electronic medical record was completed through the pushing step by step. The trial operation results in October 2018 showed that the success rate and consistency rate of data reporting were all higher than 95.00%. The comparison of 728 communicable disease cases reporting between hospital information system and national direct reporting system indicated that the completeness rates and timeliness rates of two systems were all 100%, the accuracy rates were 99.31%, 97.39% respectively, the difference was significant (χ2=8.304, P=0.004). The medians of card filling time of the two systems were 1.23 min and 2.82 min respectively, the difference was significant (U=186 809.500, P=0.000).
    ConclusionThe intelligent model based on regional platform to exchange data with the national infectious disease reporting system has been established, which can greatly improves the efficiency of communicable disease reporting, reduce the workload of medical staff, realize data sharing and fill the gap in the domestic field.
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