Medication reminding system and method based on active big data perception

Abstract

The invention provides a medication reminding system and method based on active big data perception. The system comprises M edge computing terminals and N mobile wearable devices, the wearable devicesacquire target parameters of target users, and broadcast the target parameter in a predetermined target area through a broadcasting module; the edge computing terminals are used for receiving the target parameters and storing the target parameters and user IDs corresponding to the target parameters when the target parameters meet a first preset condition; the edge computing terminals carry out trend analysis on the stored target parameters and then send trend analysis results to a far-end cloud platform; and the far-end cloud platform feeds back a medication reminding message to the M edge computing terminals based on the trend analysis result, and the medication reminding message comprises an ID of a user needing to be reminded of medication and medication time. According to the technical scheme, the problems of data congestion and blockage under large-scale medication management can be avoided.

Description

technical field [0001] The invention belongs to the field of intelligent medical technology, and in particular relates to a medication reminder system and method based on active big data perception. Background technique [0002] Medication on time and in the right amount are very important to human health. First of all, the dosage of the drug is directly related to the concentration of the drug in the blood, and reaching a certain concentration is a necessary condition for the drug to exert its efficacy. A dose that is too small will not achieve the therapeutic purpose; a dose that is too high may not necessarily increase the efficacy of the corresponding drug, on the contrary it may aggravate the adverse reactions of the drug and even cause poisoning. Secondly, the medication also needs to be carried out according to the predetermined time period in order to achieve a good therapeutic effect. Therefore, it is very important to remind the patient to take the medicine on tim...

AI Technical Summary

Problems solved by technology

[0006] However, if there is a large patient group that needs to be managed and reminded, the above-mentioned medication reminder method for a single patient will not be suitable

For example, in places such as large chronic disease sanatoriums, large nursing homes, and large nursing hospitals, there are a large number of patients who need medication management, and it is impossible to configure a dedicated nurse for each individual patient to remind medication; In some cases, although medication management settings can be set by individually configuring corresponding auxiliary equipment for each patient, in the case of a large number of patients, a single isolated medication reminder device will likely lead to There are a large number of patients who need medication, which leads to the shortage of medical resources and the blockage of data transmission.

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