Processing method and processing system for endocrine disease treatment and diagnosis information

Abstract

The invention discloses an endocrine disease treatment diagnosis information processing method and system, and the method comprises the steps: ingeniously building a first database and a second database for matching to-be-processed diagnosis information, carrying out the keyword extraction, translation, expansion and amplification of the diagnosis information before the matching, enabling the possible information contained in the diagnosis information to be extracted to the maximum, and enabling the information to be more accurate. Associated information in the first database and the second database is extracted in a corresponding matching mode, and after weight adjustment is combined, information with reference value for medical personnel is called and preferentially pushed, so that the medical personnel can assist the medical personnel in diagnosing endocrine diseases based on the pushed information, and the diagnosis efficiency of the medical personnel is improved. Therefore, a more accurate and effective treatment scheme is made, meanwhile, data of the first database and the second database are collected into the data pool of the cloud server by adopting a block chain mechanism, data sharing and more powerful and efficient data interaction are realized, and an effective and reliable software and hardware mechanism is provided for high-quality medical services.

Description

technical field [0001] The invention relates to the technical field of medical data interaction, in particular to a method and system for processing diagnosis information of endocrine diseases. Background technique [0002] With the advancement of medical technology, the technical level of the current medical and health system is different from the past. However, the problem of uneven distribution of medical resources still exists, which has also led to the improvement and promotion of medical services in some backward areas. In this context , the technology sharing concept of integrating medical diagnosis data or medical workers through data integration means or remote communication interaction means was proposed, which can not only realize remote diagnosis and treatment through communication technology means, but also strengthen information sharing and technology sharing among medical units. However, with the increasing demand for medical services, more and more rare disea...

AI Technical Summary

Problems solved by technology

[0002] With the advancement of medical technology, the technical level of the current medical and health system is different from the past. However, the problem of uneven distribution of medical resources still exists, which has also led to the improvement and promotion of medical services in some backward areas. In this context , the technology sharing concept of integrating medical diagnosis data or medical workers through data integration means or remote communication interaction means was proposed, which can not only realize remote diagnosis and treatment through communication technology means, but also strengthen information sharing and technology sharing among medical units. However, with the increasing demand for medical services, more and more rare diseases or diseases induced by multiple factors are paid more and more attention, and the diagnosis and treatment of medical units are mostly led by one attending staff, and then extended to multiple medical staff Joint diagnosis and treatment, however, still cannot overcome the limitations of current medical information interaction, because the knowledge reserves and energy of individuals or a few people are limited, and the diagnosis process of diseases often needs to be judged and analyzed as quickly and accurately as possible. Given the corresponding treatment methods, endocrine disease is a disease induced by multiple factors, and its diagnosis often requires a lot of time and energy to investigate. However, for patients, how to take intervention measures as much as possible to make them recover The state of health is very urgent, therefore, how to improve the interaction efficiency and reliability of medical diagnosis data and push information with reference value for disease diagnosis is a research topic of great practical significance

Images