Analysis of monitoring results of common diseases among residents in Gansu Province based on big data platforms
LU Jie
YAN Xuanchen
HU Xiaobin
YANG Jingyu
LIU Hongliang
Abstract：Objective Based on the health big data platform,reveal the main diseases of residents in Gansu Province,explore new changes in the health status of the population,and provide a basis for establishing a precise disease monitoring system and early warning mechanism,exploring the implementation path of medical prevention collaboration and integration.Methods Extract the complete medical information of residents in Gansu Province on the big data platform from 2018 to 2022,and use Oracle database to complete statistics and disease sorting of medical data.Results Respiratory system diseases were the main type of outpatient disease,and the number of visits had fluctuated at a high level for several consecutive years.The diseases with the most obvious increase in outpatient disease ranking were type 2 diabetes and ametropia.Lumbar disc herniation and coronary heart disease were the most important diseases in hospital.The diseases with obvious increase in the order of hospitalized diseases were:type 2 diabetes,cerebral infarction and chronic obstructive pulmonary disease with acute exacerbation.Conclusion Respiratory diseases and type 2 diabetes account for a large proportion in outpatient and inpatient services,and should be the focus of monitoring diseases.Monitoring outpatient and inpatient diseases separately can better reveal the patterns of diseases.
Keywords：big data platformdisease monitoringearlearly warning
Publication Date：2024-04-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 160-163 )