A blockchain-based medical resource data processing method and system

Abstract

The invention discloses a medical resource data processing method based on a block chain. The method comprises the steps of pre-auditing patient personal information transmitted to a medical real-timeservice platform, corresponding medical demand information and medical provider information; if the pre-audited information is insufficient, sending feedback to the information and filtering out theinformation, and if the pre-audited information is sufficient, storing the audited information in a medical real-time service platform database. According to the invention, medical related informationis recorded through the block chain, the patient personal information, the corresponding medical demand information and the medical provider information are stored in the block chain, the problems ofidle medical resource supply and real-time matched monitoring data are comprehensively considered, the matching operation degree of the medical real-time service platform is judged carefully and accurately from the three aspects of the medical resource demand and supply weight, the specific quantity and the average value of each department in the block, and targeted alarm prediction and scheduling are achieved.

Description

technical field [0001] The invention relates to the technical field of medical informatization, in particular to a blockchain-based medical resource data processing method. Background technique [0002] At present, the medical model in most areas is mainly based on procedures such as registration by patients at medical institutions, outpatient diagnosis, and treatment based on the diagnosis results. Because patients do not understand the existing medical technology, mistakes such as wrong registration and inaccurate diagnosis often occur. At the same time, due to the large number of people in need of medical treatment, the queuing of outpatient clinics and other problems, the distribution of medical resources is unfair, the medical services cannot be responded in a timely manner, and the data in all aspects are disorderly organized, which is prone to confusion. [0003] Due to the large number of departments and long distances in modern medical institutions, it is difficult ...

AI Technical Summary

Problems solved by technology

[0002] At present, the medical model in most areas is mainly based on procedures such as registration by patients at medical institutions, outpatient diagnosis, and treatment based on the diagnosis results. Because patients do not understand the existing medical technology, mistakes such as wrong registration and inaccurate diagnosis often occur. At the same time, due to the large number of people in need of medical care, outpatient queuing and other problems, the distribution of medical resources is unfair, medical services cannot be responded in a timely manner, and data in all aspects are disorderly organized, which is prone to confusion

[0003] Due to the large number of departments and long distances in modern medical institutions, it is difficult to carry out centralized deployment manually. Under the existing model, the medical demand side and the provider cannot effectively interact with each other. Service efficiency and resource allocation urgently need to be improved

There are many existing medical institutions with mixed personnel coming in and out. The safety of patients' personal information cannot be guaranteed when they are entered in medical institutions. The information may be illegally used or maliciously tampered with. Medical institutions need to improve the storage and protection of patient information , at the same time, in order to achieve a good medical service effect, it is necessary to ensure the openness of relevant information, and there are still deficiencies in the processing of information in the existing medical market

[0004] There is a large population base for medical treatment, and relevant information is difficult to sort out. The blockchain combines a series of existing mature technologies to carry out distributed and effective records of information, and provides perfect scripts to support different business logics. However, the existing block system exists For some problems, the existing platforms mostly use medical demand data, less consideration is given to the availability of medical resource supply and real-time matching monitoring data, and it is difficult to determine the weight of medical resource demand and supply of each department on the block, The detailed and accurate judgment of the matching operation degree of the medical real-time service platform in terms of specific quantity and average value cannot carry out targeted alarm prediction and scheduling, and cannot improve the accuracy and effectiveness of the medical real-time service platform. The scalability of the system is poor. All Nodes can do all the work, store data in each node, and the space utilization efficiency is low

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