Chronic disease follow-up tracking method

Abstract

The invention relates to the technical field of medical follow-up visit, in particular to a chronic disease follow-up visit tracking method. The method comprises the steps that an intelligent medicine kit collects medical information of a patient and sends the collected medical information to a follow-up visit management server, wherein the medical information comprises medication data; the follow-up management server receives the medical information and stores the medical information in a database; the management terminal requests and checks the medical information stored in the follow-up management server, the medication data comprises medication time, dosage, medication name and medication adverse reaction data, and the medication adverse reaction data comprises adverse reaction attack time, adverse reaction expression and adverse reaction duration. According to the chronic disease follow-up visit tracking method provided by the invention, various medication data of the patient can be acquired in real time, the objectivity and authenticity of the follow-up visit data are improved, timely and accurate illness state judgment and analysis can be provided for a medical team through the acquired various data information, and a data support is provided for precise treatment of a chronic patient group.

Description

Technical field[0001]The present invention relates to the field of medical follow-up, in particular a slow disease follow-up tracking method.Background technique[0002]The Disease Control Center is responsible for constructing a comprehensive control of slow disease and controlling services, and needs to be fully controlled by the development of slow disease. In addition to the traditional non-confecting slow disease, with the continuous development of the social economy, the number of mobile populations has gradually increased, and the number of HIV infections and the incidence of the incidence have shown annual increase. To this end, the CDC is not only widely carried out more Prevention and treatment of health education, further increase the supervision of AIDS conditions, comprehensively master the development status of AIDS and effectively control the number of people infected people.[0003]At present, the main means adopted by the CDC provides free related drugs, patients with d...

AI Technical Summary

Problems solved by technology

[0004] However, the above method has the following problems: After the user receives the drug, the CDC cannot supervise and remind the user, and it is difficult for the CDC to know the development of the user's subsequent illness

[0009] 1. The data coverage is not comprehensive, and the monitoring is not centered on people, but represented by diseases or regions

[0010] 2. The quality and reliability of the data are low, and the data source still mainly relies on the patient’s own feedback, and the patient sometimes does not give real feedback about his own situation out of perfunctory, fear of being discovered, etc., which will make the follow-up The objectivity and authenticity of the data are poor

There are many links of manual operation, and each link affects the quality of data; there is a problem of basic data tampering

[0011] 3. Data continuity and timeliness are poor, the survey is carried out every certain period, it is difficult to grasp the continuous trend, and the data lags behind

[0012] It reduces the accuracy of the CDC's statistical analysis and affects the accuracy of its work plan or implementation plan, resulting in a lot of manpower and material resources with little effect

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