System and method for tracking curative effect of chronic patient online

Abstract

The embodiment of the invention discloses a system and method for tracking the curative effect of a chronic patient online. The system comprises a client and a server. The client comprises a user terminal which is used for acquiring first medical data and initiating a first access request, and a medical terminal which is used by a user to collect second medical data and initiates a second access request. The server comprises a cloud control center which is used for processing the first medical data and the second medical data to acquire reference data and sending out the reference data, a cloud analysis center which is used to process the reference data to acquire service execution data and send out the service execution data, and a continuous service management center which is used to process the service execution data to acquire an intervention plan and push the intervention plan to the user terminal and the medical terminal. According to the embodiment of the invention, the system can make up for the lack of long-term follow-up management in the current chronic disease management process after hospital discharge, and medical break points are connected with to improve the curative effect.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a system and method for online tracking of curative effect of patients with chronic diseases. Background technique [0002] At present, under the background of the continuous development of medical equipment and Internet of Things technology, the tracking of the curative effect of patients with chronic diseases is often limited to data collection, and then the collected data is handed over to doctors to obtain medical advice, orders or prescription amendments. To achieve the goal of precise treatment and precise medicine. However, due to the uneven technical level of doctors, the difficulty in standardizing the text of medical advice, and the inconsistent decision-making methods of different hospitals. For patients with chronic diseases who need long-term care, continuous tracking cannot be achieved, resulting in the need to face different hospitals or doctors and different dia...

AI Technical Summary

Problems solved by technology

However, due to the uneven technical level of doctors, the difficulty in standardizing the text of medical advice, and the inconsistent decision-making methods of different hospitals

For patients with chronic diseases who need long-term care, continuous tracking cannot be achieved, resulting in the need to face different hospitals or doctors and different diagnostic and treatment equipment during the disease process

Moreover, there are also very large differences in the medical data generated from this process, resulting in a large number of breakpoints and irregular blank records in the process of receiving treatment for each individual patient, and compliance cannot be guaranteed , Even when complications occur, medical follow-up cannot be obtained in time, and the delays have caused a lot of waste of medical resources

That is, the existing chronic disease management process lacks long-term follow-up management after the hospital, and cannot connect medical breakpoints, resulting in poor treatment effects

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