Medical data processing method and device based on edge calculation

Abstract

The invention discloses a medical data processing method and device based on edge computing, and the method comprises the steps: taking a core service layer, an edge service layer, an edge application layer and a block chain application layer as a medical data processing architecture, providing medical data encryption, consensus and computing power services based on a block chain, carrying out the dispersion of the computing power based on a region, and carrying out the service based on edge computing. The computing power is dispersed to the near end of the user, so that the computing efficiency is effectively improved, the medical resource utilization rate is effectively improved, and the problem of non-uniform allocation of medical resources is effectively reduced; and meanwhile, the data is subjected to decentralized processing, data encryption, consensus, storage and other processing are performed based on the block chain, and the principles of non-tampering, majority consensus and access verification of the block chain are utilized, so that the security of the data is efficiently guaranteed, and the medical service experience of the user is improved.

Description

technical field [0001] The present application belongs to the field of big data processing, and in particular relates to a medical data processing method and device based on edge computing. Background technique [0002] With the ever-increasing demand for medical care in society, the total number of medical institutions in my country is increasing day by day, and the number of medical receptionists is increasing day by day. In some old and famous hospitals, it is no longer a new thing that the average daily number of patients exceeds 10,000. As of 2020, there are 35,000 hospitals in the country There are 1 million medical and health institutions, and the number of beds is nearly 9 million. It is roughly estimated that the average daily data processing volume of urban hospitals has reached tens of millions. However, medical resources are limited, and the uneven distribution of medical resources in my country is obvious. A small number of hospitals have advanced technology but ...

AI Technical Summary

Problems solved by technology

However, medical data is extremely important and sensitive data for both personal privacy and national security. The current server-client-based data processing architecture has security risks, and user access lacks the necessary security guarantees. Once the medical data is leaked, the consequences will be unimaginable, and the importance of ensuring the security of medical data is self-evident

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