Medical health information monitoring and analyzing system based on big data technology

Abstract

The invention discloses a medical health information monitoring and analyzing system based on a big data technology. The system comprises detection equipment, a central server, a cache server, an association server and terminal equipment, and is characterized in that the detection equipment is respectively connected with the central server, the association server and the terminal equipment; and the cache server is respectively connected with the central server, the association server and the terminal equipment. By arranging the local detection equipment and the data analysis server, after thelocal detection equipment uses the more accurate monitoring equipment, the output data are correspondingly input into the analysis server for direct local analysis, and the adopted local special dataanalysis is low in data volume, so that the output data information is fast and the contrast ratio is high, and the accuracy is high. And the data are updated with the total server in real time according to time periods, so that the updating degree of the data is ensured.

Description

technical field [0001] The invention relates to the field of medical data analysis, in particular to a monitoring and analysis system for medical health information based on big data technology. Background technique [0002] The existing medical system generally relies on manual services, judges according to the patient's own lesions, and according to which part of the body is uncomfortable, go directly to the window to register and queue, and make an appointment for the corresponding specialist outpatient clinic. There is patient-related lesion information collection; at the current stage of the relevant medical data collection, it is only for data transmission after diagnosis. For the electronic judgment information of patients before manual diagnosis, it can still only provide patients for reference. Accuracy and responsive effects. [0003] However, in the current society, the difficulty of seeing a doctor is still a problem to be solved, especially for patients with co...

AI Technical Summary

Problems solved by technology

[0002] The existing medical system generally relies on manual services. According to the judgment of the patient's own lesion and which part of the body is uncomfortable, he directly goes to the window to register and queue up, and makes an appointment for the corresponding expert clinic. Before the medical staff and the patient meet, there is no There is patient-related lesion information collection; in the current stage of relevant medical data collection, it is only for data transmission after diagnosis. For the patient's electronic judgment information before manual diagnosis, it can still only provide the patient for reference, and does not have Accurate and responsive results

[0003] However, in the current society, the difficulty of seeing a doctor is still a problem to be solved, especially for patients with complications, after a large number of patients are diagnosed and treated by experts after queuing up, it is still found that the lesion is in other parts, and they still need to go to other departments to continue queuing , which not only wastes the precious time of medical staff, but also increases the time for patients to suffer from pain, and in severe cases, the delay of diagnosis will be delayed due to the delay of the disease.

[0004] However, the existing monitoring and big data processing is still characterized by a large amount of data, complex structure and fast update. If it is necessary to follow the self-diagnosis and treatment method, it will still rely on network stability and data stability. Once there are too many users When the network data is paralyzed, its electronic equipment will still not play its original auxiliary role. Therefore, it is necessary to build a standardized big data monitoring and analysis system with time-sensitive and stable data throughput, which is the current trend of medical demand.

Images