Method and system for performing intervention according to information of chronic disease patients

Abstract

The invention discloses a method and a system for performing intervention according to information of chronic disease patients. The method comprises the steps that out-hospital health reminding schemes of the patients are generated according to hospital leaving advices given by a doctor; in-hospital diagnosis and treatment information, out-hospital medication information, vital sign information and healthy living mode information of the patients are collected, the collected information is processed, and labels are set; the patients are dynamically grouped according to the labels; and the doctor sends intervention information to the patients in a whole group and pushes the intervention information to each patient in the group. According to the embodiment, the collected patient information is more comprehensive in terms of dimension, contains patient diagnosis and treatment information, advice scheme information and self-examination information and also comprises patient daily behavior evaluation information, a data basis is provided for precise intervention by the doctor, precise dynamic label identification of the patients and intelligent grouping depending on the labels are realized, the doctor can quickly know the current health states of the patients by spending little time, and increase of the intervention workload of the doctor due to increase of the number of the patients managed by the doctor is avoided.

Description

technical field [0001] The present application relates to the medical field, and in particular to a method and system for intervention based on chronic disease patient information. Background technique [0002] With the development of mobile Internet and wearable devices, wearable devices collect patients' vital signs information and self-measurement information (such as blood pressure, blood sugar, heart rate, etc.) in real time, and transmit data to the background data center through mobile Internet or Bluetooth technology. There are already quite a few solutions. The doctor team can view all the feedback measurement data in the background, and use phone calls, text messages, WeChat, etc. to conduct follow-up visits to achieve personalized intervention and guidance for patients. The existing technology generally uses smart bracelets, smart blood glucose meters, smart blood pressure monitors and doctor platforms to realize personalized intervention and guidance for patients...

AI Technical Summary

Problems solved by technology

[0008] The lack of clinical diagnosis information of patients, such as medical treatment information and diagnosis information in the hospital, leads to the lack of pertinence when the doctor team intervenes in the background. It can only be carried out based on the measurement results fed back by the equipment. powerful;

[0009] There is a lack of medication, exercise, diet, daily behavior, and self-evaluation information for patients’ out-of-hospital health management. This information is often difficult to collect through wearable devices, so it is difficult for the doctor team in the background to obtain effective results;

[0010] Real doctors are often busy with work and do not have enough time to monitor and analyze data for each patient. This leads to the fact that doctors who actually treat patients have no time to intervene in more patients, or they are not targeted and cannot achieve personalized intervention. Or can only do some general intervention guidance, resulting in low patient compliance;

[0011] Insufficiency of the intervention method: It is manifested in the fact that generally by calling, sending text messages, or WeChat messages, patients receive information from unfamiliar doctor assistants, and it is often difficult to achieve effective effects

Images