Block chain based credible joint evidence based analysis platform and method in field of traditional Chinese medicine digestion

Abstract

The invention provides a block chain based credible joint evidence based analysis platform and method in the field of traditional Chinese medicine digestion, and relates to the technical field of block chain technology and traditional Chinese medicine digestion. According to the platform and the method, a traditional Chinese medicine digestive disease cooperative evidence-based analysis alliance chain is constructed among traditional Chinese medicine hospitals, scientific research institutions, medicine enterprises and digestive disease cooperative alliance management units in the traditional Chinese medicine digestion field, private traditional Chinese medicine digestion field dominant disease data management systems are established in the hospitals, a credible combined evidence based analysis platform based on a block chain is constructed in an alliance management center, relying on intelligent contracts and federal learning models oriented to cross section research, queue research, case contrast research, curative effect evaluation research and other disease research, joint application services such as data authorization, task distribution, shared contribution evidence storage and contract-based incentive are provided for credible joint evidence based analysis of dominant diseases in the field of traditional Chinese medicine digestion across hospitals and institutions, and joint evidence based analysis across medical institutions is completed on the premise that data are not out of hospitals.

Description

technical field [0001] The present invention relates to the fields of block chain technology and traditional Chinese medicine digestion technology, in particular to a credible joint evidence-based analysis platform and method in the field of traditional Chinese medicine digestion based on block chain. Background technique [0002] At present, the mainstream mode of medical knowledge and practice in the world is evidence-based medicine with scientific evidence as the core. Clinical evidence has become the main basis for evaluating the effectiveness and safety of medical treatment measures, and has also become one of the important reference contents for national health policies. . Organically combining evidence-based medicine with traditional Chinese medicine and putting it into clinical practice will not only greatly improve the level of clinical diagnosis and treatment, but also provide a broader stage and more Opportunity. Evidence-based medicine is to consciously, clearl...

AI Technical Summary

Problems solved by technology

[0004] (1) Inconsistency among multiple parties in information islands: traditional data sharing solutions require each medical institution (hospital / scientific research institution) to centralize their own data into a unified data center, but there are data dominance, management, operation, and use Controversy and dissatisfaction over rights, sharing rights, etc., lead to greater obstacles to promote

[0005] (2) Data sharing lacks privacy protection: data sharing will inevitably lead to data privacy leakage in medical institutions, and the risk of data sharing is difficult to control. How to realize data sharing under the premise of fully ensuring data security is a difficult problem that must be solved as soon as possible

[0006] (3) Difficulties in data sharing and circulation confirmation: data is easily copied in the process of sharing and circulation

If the rights of data cannot be confirmed and the producers, users, managers, and beneficiaries of the data cannot be identified, the accurate authorization of data will not be well realized, and the sharing and circulation of data will be seriously hindered.

[0007] (4) Data sharing lacks a distribution mechanism: it is difficult to quantify the actual data contribution of each unit, team, and individual in the traditional data centralization method, so there is no good sharing incentive mechanism

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