Business model based on intelligent medicine box

Abstract

The invention relates to the technical field of medical systems, in particular to a business model based on an intelligent medicine chest. The model comprises the following steps: S1, constructing a medical follow-up visit management service platform; S2, giving a medical follow-up management service platform to a cooperation mechanism, and enabling the cooperation mechanism to distribute the intelligent medicine boxes to the target crowd; S3, enabling the intelligent medicine box to collect the medical information of the patient in the use process of the patient and sending the collected medical information to the follow-up visit management server; S4, enabling the follow-up visit management server to receive the medical information and store the medical information in a database; S5, enabling the cooperation mechanism to check the medical information and the statistical report of the patient; and S6, enabling the cooperation mechanism to manage and maintain the intelligent medicine box. According to the business mode based on the intelligent medicine box, the medicine box is popularized through the cooperation mechanism, and rapid popularization of products is facilitated; meanwhile, various medication information of the patient can be obtained in real time, the objectivity and authenticity of follow-up visit data are improved, and accurate data support is provided for cooperation mechanisms.

Description

technical field [0001] The invention relates to the technical field of medical systems, in particular to a business model based on an intelligent medicine box. Background technique [0002] The current disease surveillance system still has the following six problems that need to be resolved urgently: [0003] 1. The data coverage is limited. The degree to which the sample truly reflects the population is affected by sampling, and there is a problem of data representativeness. The monitoring points are only representative at the national level, and individual places and economically developed areas can be representative at the provincial level, such as Beijing and Shanghai. At the county level, there is no way to know what the main health problems, risk factors for chronic diseases, and major diseases of the people are. Surveillance is single centered on diseases, not people. For example, the Centers for Disease Control and Prevention can know that there are about 250...

AI Technical Summary

Problems solved by technology

For example, the Centers for Disease Control and Prevention can know that there are about 250 million people with high blood pressure and about 100 million people with diabetes in the country, but it is impossible to quickly get how many people suffer from both high blood pressure and diabetes

[0004] 2. Low data quality and reliability

Although the current monitoring system has strict quality control, there are still many irregularities, such as the "human" factor. There are many links in manual operation, and each link affects the quality of data; there is the possibility of tampering with basic data. question

[0005] 3. Poor data continuity

[0006] 4. Poor data timeliness

However, the current medicine box requires patients to dispense and install their own medicines, and to set reminders by themselves. There will still be a lot of inconvenience in actual use, which will cause patients to be less motivated to use it.

At the same time, due to the lack of medical-related channels and resources, the existing smart medicine boxes are usually promoted and marketed in the field of smart homes. They are positioned as a family's health aids and directly face consumers, which is not conducive to the Promotion and popularization of class products

Images