Specific disease data collaborative management method and related equipment

Abstract

The embodiment of the invention provides a specific disease data collaborative management method. The method comprises the following steps: acquiring real-time drug purchase data of an offline pharmacy and/or real-time drug purchase data of an online pharmacy; performing data processing on the real-time drug purchase data of the offline drugstore and/or the real-time drug purchase data of the online drugstore to obtain real-time drug purchase characteristics, and performing real-time analysis processing on the real-time drug purchase characteristics through a preset time sequence model to obtain a real-time processing result, and formulating a third acquisition information list according to the prevention and treatment conditions of specific diseases in each region and/or the real-time processing result. Real-time medicine purchase data of offline drugstores and/or real-time medicine purchase data of online drugstores are collected through a preset collection information list in a collection terminal, and a service terminal timely issues and configures medicine purchase data collection requirements and management processes; and the acquisition terminal feeds back data to the service terminal in real time to form a closed loop of decision management and business data of related departments.

Description

technical field [0001] The invention relates to the field of big data, in particular to a collaborative management method for specific disease data and related equipment. Background technique [0002] A global pandemic has greatly hampered social activities and economic operations. Early warning of infectious disease outbreaks and timely interruption are extremely important links in epidemic control. At present, in order to detect infectious disease cases in a timely manner, relevant departments in many provinces and cities have gradually established a manual summary and reporting system for the purchase records of antipyretic drugs in retail pharmacies. When the epidemic of infectious diseases appears to be spreading, the policy stipulates that retail pharmacies need to register the multi-dimensional data of consumers purchasing antipyretics, including the ID number, address, mobile phone number, name of the drug purchased and other epidemic-related information of the purc...

AI Technical Summary

Problems solved by technology

The current policy implementation process basically collects data in the form of manual registration, mainly due to low data collection efficiency and high data aggregation costs

From data collection to analysis results, the business process is very long and cannot play an early warning role in the epidemic; at the same time, data management is difficult, and there are serious omissions in drug purchase behavior data, making it difficult to conduct comprehensive and timely big data analysis and mining

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