Tumor attack information monitoring method and device based on medical insurance big data

Abstract

The invention discloses a tumor attack information monitoring method and device based on medical insurance big data. The method comprises the steps of obtaining multiple groups of medical insurance data, wherein each group of medical insurance data comprises disease diagnosis data and corresponding disease coding data; according to a tumor keyword library, selecting one or more groups of first medical insurance data with disease diagnosis data containing tumor keywords from the multiple groups of medical insurance data; according to a tumor coding database, selecting one or more groups of second medical insurance data with disease coding data containing tumor codes from the plurality of groups of medical insurance data; and comparing the selected first medical insurance data with the selected second medical insurance data, selecting one or more groups of medical insurance data from the plurality of groups of medical insurance data according to a comparison result, and performing tumorattack information monitoring according to the one or more groups of medical insurance data. Manual registration and checking of tumor onset data are not needed, tumor onset events are extracted through medical insurance data, tumor onset information is obtained, manpower and material resources are saved, efficiency is improved, and data timeliness is guaranteed.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method and device for monitoring tumor incidence information based on medical insurance big data. Background technique [0002] As the second leading cause of death of chronic non-communicable diseases, tumors pose a serious threat to human health. Accurate, dynamic and real-time tumor incidence data can provide an important scientific basis for policy formulation and resource allocation of tumor prevention and control. [0003] Currently, tumor incidence data are mainly obtained through tumor registries. The designated medical institutions in each region will manually fill in the report based on the medical insurance data, and the staff at the registration office will conduct comprehensive inspections, evaluations and feedback on the quality of the registration work of each institution on a regular basis, such as whether there is any missing report and whether the report car...

AI Technical Summary

Problems solved by technology

The entire tumor registration verification work requires a lot of manpower and material resources, the work efficiency is extremely low, and the data aggregation process takes a long time and lacks timeliness

Images