Chronic obstructive pulmonary disease intelligent management system based on artificial intelligence

Abstract

The invention discloses a chronic obstructive pulmonary disease intelligent management system based on artificial intelligence, and the system comprises a doctor team module which is used for the login of a family doctor team and an operation system, and the doctor team module comprises a main interface and a menu bar; the patient management module is used for a patient and a guardian to log in and use the system, and the patient management module is divided into a patient login entrance and a guardian login entrance; and the AI cloud platform is used for storing, processing and pushing the health information of the patient, and the AI cloud platform is based on big data and strong deep learning ability thereof. According to the chronic obstructive pulmonary disease intelligent management system based on artificial intelligence, a doctor operation platform is comprehensive, a patient operation platform is simplified, family doctors are helped to provide chronic obstructive pulmonary disease health management, meanwhile, the acceptability of patients is improved, and the treatment compliance of the patients is improved through supervision of guardians.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of chronic respiratory disease prevention and treatment, in particular to a chronic obstructive pulmonary disease intelligent management system based on artificial intelligence. BACKGROUND

[0002] Chronic obstructive pulmonary disease, simply referred to as chronic obstructive pulmonary disease, is a chronic respiratory disease characterized by persistent airflow limitation. With the aggravation of population aging, environmental pollution and continuous unhealthy lifestyle, the disease burden of chronic obstructive pulmonary disease is showing a rising trend. With the continuous progress of treatment and management methods for chronic obstructive pulmonary disease and emerging network technologies, the internet-based management platform has shown great potential in improving the diagnosis rate, standardizing the treatment rate, and remotely monitoring the health of patients with chronic obstructive pulmonary disease, which can save manpower and resources.

[0003] In the prior art, a medical management system for chronic obstructive pulmonary disease (COPD) is disclosed in Chinese Patent No. CN201711368137.2, which includes: a COPD management platform provided with a first docking port for registering COPD patient information in a medical diagnosis and treatment institution, a second docking port for medical personnel to use when regularly visiting COPD patients, and an information exchange platform for doctor-patient communication and medical personnel exchange; and a COPD service platform for analyzing the disease information of COPD patients collected by the first and second docking ports to generate a treatment and diagnosis plan, which includes one or more of medical resource allocation, drug diagnosis prescription and exercise prescription.

[0004] For example, in the prior art, a rehabilitation management method for patients with chronic obstructive pulmonary disease is disclosed in Chinese Patent No. CN202510452662.0, which includes: continuously monitoring and obtaining blood oxygen saturation and heart rate data of the patient within a day, and recording the patient's exercise data; dividing the patient's exercise stages; analyzing the data fluctuation of blood oxygen saturation in adjacent exercise stages of the patient, combining the blood oxygen saturation data and its change trend in the patient's exercise stage, and determining the oxygen drop characterization parameter of each exercise stage of the patient; obtaining the control uniformity of each exercise stage of the patient; adjusting the critical threshold of blood oxygen saturation of each exercise stage of the patient; and based on the critical threshold of each exercise stage of the patient, real-time monitoring of blood oxygen saturation is performed to assist in the management of the patient's rehabilitation process.

[0005] For example, in the prior art, a Chinese patent with application number CN202410487374.4 discloses a chronic obstructive pulmonary disease patient medication follow-up task management method and system. The method includes obtaining the patient's time-containing body parameters according to the patient's granted authority, constructing the patient's portrait according to the body parameters; querying the medication information of each patient, and assigning values to the patient's portrait according to the medication information; clustering the patient's portrait after assignment, and synchronously extracting the mean portrait of each class of patient's portrait; for any patient, real-time record of his / her body parameters is recorded according to his / her granted authority, the mean portrait is matched according to the body parameters, and the medication prompt is generated according to the assignment of the mean portrait.

[0006] In combination with the above-mentioned materials, it can be seen that the chronic obstructive pulmonary disease management system in the prior art lacks a comprehensive, timely and personalized feedback mechanism for patient personal preferences and health data; and the general platform has a low degree of aging, and the patient's treatment compliance cannot be effectively guaranteed. SUMMARY

[0007] The purpose of the present application is to provide an artificial intelligence-based chronic obstructive pulmonary disease intelligent management system to solve the problem of lacking a comprehensive, timely and personalized feedback mechanism for patient personal preferences and health data in the background art, and to propose a community chronic obstructive pulmonary disease management mode that can realize diagnosis, treatment, rehabilitation whole-process management, medication, exercise, rehabilitation training and health education all-round management, and patient-family-doctor multi-angle management.

[0008] To achieve the above-mentioned purpose, the present application provides the following technical solution: an artificial intelligence-based chronic obstructive pulmonary disease intelligent management system (the name of the system is "Yunshulung"), comprising: A doctor team module for family doctors to log in and operate the system; A patient management module for patients and their guardians to log in and use the system; An AI cloud platform for storing, processing and pushing the health information of patients; The doctor team module includes a main interface and a menu bar, the main interface includes the follow-up calendar of the family doctor, the follow-up reminder of the last three days, the lung function classification distribution graph of the chronic obstructive pulmonary disease patients in the community, the existing guideline information recommendation and the patient referral information; the menu bar includes a team member module, a patient management module, a health community module and a data synchronization module; The patient management module is divided into a patient login portal and a guardian login portal; The AI cloud platform generates a health report based on the comprehensive evaluation of the real-time health data and the check-in situation of the patients by using big data and its powerful deep learning ability, and sends the report to the doctor team, which confirms the report and sends it to the patient.

[0009] Preferably, the team member module records the basic information of all team members, and the administrator adds new members and deletes original members after logging in.

[0010] Preferably, the patient management module records the demographic information and health information of all chronic obstructive pulmonary disease patients who have established health records in the community, and these information can be modified by the enrolled family doctor login.

[0011] Preferably, the health community module provides a way for family doctor team members to publish health education videos and health education tweets, and displays the health education videos and health education tweets already published by the team.

[0012] Preferably, the data synchronization module quickly transfers data in the existing hospital CIS patient management system to the smart management system program, and allows the treatment feedback of patients in the smart management system to be quickly transferred to the CIS system.

[0013] Preferably, after the patient logs in from the patient login portal, the operation interface is divided into a main interface and a menu bar, the main interface includes three modules of message reminder, health record and health community, and the menu bar includes four modules of personal information, published tweet record, published comment record and personalized settings. The personal information module records the demographic information and health information of the patient, and the personalized settings module provides a way to set font size and interface color.

[0014] Preferably, the message reminder is composed of daily tasks, doctor private messages and health reports. The daily tasks are individualized treatment plans confirmed by the doctor after following up the patient, the doctor private messages are online contact ways between the doctor and the patient, and the health reports are daily health reports sent to the patient by the AI cloud platform after collecting the patient's health data and being confirmed by the family doctor.

[0015] Preferably, the health record is composed of four modules of daily medication, daily exercise, pulmonary rehabilitation training and device connection. The daily medication and pulmonary rehabilitation training are realized by the patient's check-in, the daily exercise is connected with the exercise health APP on the mobile phone and uploads the exercise record, and the device connection is to connect real-time health data recording devices such as "wearable blood oxygen meter" and upload the patient's real-time health data to the AI cloud platform.

[0016] Preferably, the health community displays the health education videos and health education tweets already published by the family doctor team, and the patient can also apply to publish tweets, which can be published after being approved by the doctor team.

[0017] Preferably, the operation interface after logging in through the guardian login portal is completely consistent with the patient operation interface, and the operation interface after logging in through the guardian login portal cannot perform any operation and only has the right to view.

[0018] Compared with the prior art, the beneficial effects of the present application are that the chronic obstructive pulmonary disease intelligent management system based on artificial intelligence has the following specific contents: 1. The doctor operation platform is fully integrated, and the patient operation platform is simplified, which is committed to helping family doctors provide chronic obstructive pulmonary disease health management, improving the acceptance of patients, and improving the treatment compliance of patients through the supervision of guardians; Further, the wearable blood oxygen meter, blood pressure and blood glucose monitor and the like are associated, the detection data of the blood oxygen meter and the blood pressure and blood glucose monitor are stored in the system through networking, then the data is analyzed, the diagnosis and treatment standards are recommended according to different patient conditions combined with existing professional guidelines, the health data is analyzed by artificial intelligence AI to generate a report, and the patient's health information is recorded in time, which provides effective guidance and way for family doctors to regularly monitor, intervene in the health status of patients and standardized management.

[0019] 2. The AI is combined to provide personalized health guidance to patients and remind patients to perform lung rehabilitation activities, become the "family assistant" of patients, and improve the compliance of patients in lung rehabilitation, and provide guidance for self-management of patients with chronic obstructive pulmonary disease; Further, the doctor management platform adopts a team management form for patients, and can contact specialist doctors to temporarily join the management team when transferring, so that the specialist doctors can obtain the health information of the patients, and at the same time, the CIS system is associated and information is transmitted, to ensure the synchronization and continuity of information and optimize the management efficiency, and provide information support for patient transfer.

[0020] 3. The patient management is a comprehensive measure taken in the whole process of diagnosis and treatment, and the doctor-patient-guardian three-party portal design, old-age interaction optimization and psychological support feedback are combined to build a cloud platform to integrate high-quality medical resources of various medical institutions to form a multidisciplinary respiratory rehabilitation team, realize the humanized management of chronic obstructive pulmonary disease, become a bridge connecting policy landing and clinical practice, and realize the "prevention-treatment-rehabilitation" integrated goal of chronic obstructive pulmonary disease management. BRIEF DESCRIPTION OF DRAWINGS

[0021] Figure 1 It is a composition schematic diagram of the chronic obstructive pulmonary disease intelligent management system based on artificial intelligence of the present application; Figure 2 It is a doctor team module main interface schematic diagram of the present application; Figure 3 It is a team member module interface schematic diagram in the doctor team module of the present application; Figure 4 It is a patient management module interface schematic diagram in the doctor team module of the present application; Figure 5It is a patient detailed information interface schematic diagram of the patient management module in the doctor team module of the application; Figure 6 It is a health education community module interface schematic diagram in the doctor team module of the application; Figure 7 It is a patient management module main interface message reminder, health record, health community module interface schematic diagram of the application; Figure 8 It is a health record module function interface schematic diagram in the patient management module of the application; Figure 9 It is a patient management module menu bar function interface schematic diagram of the application. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the application will be clearly and completely described below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those of ordinary skill in the art without creative labor fall within the scope of protection of the application.

[0023] Embodiment one: please refer to Figure 1 The embodiment provides the following technical solutions: a chronic obstructive pulmonary disease intelligent management system based on artificial intelligence (the name of the system is "cloud lung"), which comprises: a doctor team module for a family doctor team to log in and operate the system; a patient management module for patients and guardians to log in and use the system; and an AI cloud platform for storing, processing and pushing health information of patients.

[0024] Specifically, the patient module can be in the form of a small program, an APP application and the like, and the medical team module can be in the form of a webpage, a small program, an APP application and the like.

[0025] Through the system, the following intelligent management functions for patients with chronic obstructive pulmonary disease can be realized: Refer to Figure 2The doctor team module includes a main interface and a menu bar. The main interface includes a follow-up calendar of the family doctor, a follow-up reminder for the next three days, a lung function classification distribution graph of patients with chronic obstructive pulmonary disease in the community, existing guideline information recommendation, and patient referral information. The menu bar includes four modules of team members, patient management, health community, and data synchronization. Through the follow-up calendar, the family doctor can check the follow-up on a specified date and check whether the follow-up arrangement for the day is completed in the pop-up window. The follow-up reminder is based on the default jump to today of the follow-up calendar, displays the follow-up arrangement for today, and takes the form of clocking in. If the follow-up of a patient is completed, the follow-up state of the patient can be adjusted from “to be followed up” to “completed”. Considering that the family doctor may need to confirm whether the patient can follow up as scheduled before follow-up, the main interface also displays the follow-up arrangements for the next two days. If it is necessary to adjust the follow-up time of the patient, the family doctor can click the patient follow-up arrangement box to modify the date. The guideline query and recommendation function can intelligently search and recommend the existing guidelines for diagnosis and treatment methods according to the individual conditions of different patients, so as to facilitate the doctors to make preliminary decisions in combination with the standards, optimize the efficiency, and ensure the specialization and individualization of diagnosis and treatment. From the team management of the family doctor to the establishment of the patient health record and the creation of the individualized, specialized and standardized health management plan, it is layer by layer and from point to surface. A community COPD management network jointly participated by doctors and patients can be established to facilitate the planning and arrangement of doctors.

[0026] Referring to Figure 3 The team member module records the basic information of all team members and can add new members or delete original members. The team members not only include new family doctors, but also have great potential in providing referral services. When the specialist doctor for patient referral is clear, the family doctor team can temporarily include the specialist doctor in the team, so that the specialist doctor can check the health information of the patient before consultation, understand the medical history, medication and other conditions of the patient, and thus take more reasonable and targeted treatment plan. At the same time, the family doctor can also check the diagnosis and treatment plan recorded by the specialist doctor, so as to realize the continuity of information of the patient in the two-way referral.

[0027] Referring to Figures 4-5 The patient management module records the demographic information and health information of all chronic obstructive pulmonary disease patients in the community who have established health records, and these information is shared by all team members and can be modified. This information combined with the relevant suggestions generated by AI can be used for online management of patients during the interval between two follow-ups, so as to realize the accessibility and continuity of patient services. The patient health plan generated based on AI and big data can provide personalized rehabilitation suggestions for the patient to the doctor. After the doctor checks and confirms that the information is correct, the doctor can send the information to the patient or give health guidance to the patient in the next follow-up, so as to improve the work efficiency of the doctor.

[0028] Referring toFigure 6 The health education community module can provide a way for the family doctor team member to publish health education videos and health education tweets, and display the health education videos and health education tweets that have been published by the team. The doctor can popularize science to the patient here, improve the patient's understanding of his own condition, show humanistic care, and improve patient compliance. The data synchronization module can quickly transfer the data in the existing hospital CIS patient management system to the "Cloud Shu Lung" program, and at the same time, allow the treatment feedback of the patient in "Cloud Shu Lung" to be quickly transmitted to the CIS system, so as to facilitate the doctor to quickly import information and manage the patient, so that the doctor can manage the patient as soon as he receives the patient.

[0029] With reference to Figure 7 The patient management module is divided into a patient login entrance and a guardian login entrance. After logging in through the patient login entrance, the operation interface can be divided into a main interface and a menu bar, the main interface includes a message reminder, a health record, and a health community three modules, and the menu bar includes three modules of personal information, published tweet record, published comment record, and personalized settings. The operation interface after logging in through the guardian login entrance is completely consistent with the patient operation interface, but the operation interface after logging in through the guardian login entrance cannot be operated and only has a viewing right. The patient management module can realize the integration of patient self-management and guardian participation management, which is helpful for the patient to self-manage while realizing the supervision of the guardian on the patient's medication, exercise, and lung rehabilitation, so as to improve the patient's compliance and improve the patient's condition.

[0030] With reference to Figure 7 The message reminder module mainly includes daily tasks, doctor private messages, and health reports. The daily tasks are individualized treatment plans confirmed by the doctor after following up the patient, the doctor private messages are an online contact way between the doctor and the patient, and the health reports are daily health reports sent to the patient by the family doctor after confirming the correctness of the health data of the patient collected by the AI cloud platform. The daily task dialog box will push a reminder to the patient at a suitable time, such as if the patient does not punch in the health record to take medicine, the "Cloud Shu Lung" will push a message reminder to the patient at a set time every day, such as 9 o'clock in the morning, 13 o'clock in the afternoon, and 8 o'clock in the evening (about 1 hour after meal time). The doctor private message dialog box can be used for the patient to ask questions online to the family doctor, and provide scientific and reasonable health guidance and accessibility service to the patient in the form of "online consultation" during the follow-up interval. The health report is the health data of the patient collected by the AI today, and the health report is sent to the patient and the family doctor based on the big data model and deep learning ability, and at the same time, the doctor sends the generated individualized health plan to the patient, gives the diagnosis basis, and the doctor can send it to the patient after evaluating the correctness by relying on his own professional knowledge.

[0031] With reference to Figure 8The health record module is composed of four modules of daily medication, daily exercise, pulmonary rehabilitation training and device connection. The daily medication and pulmonary rehabilitation training are realized by the patient's check-in. The daily exercise is connected with the sports health APP on the mobile phone and the exercise record is uploaded. The device connection is to connect the real-time health data recording device such as 'wearable blood oxygen meter' and upload the real-time health data of the patient to the AI cloud platform. Through the daily rehabilitation supervision in the form of check-in, the patient's treatment enthusiasm can be effectively improved, and the patient is reminded to perform rehabilitation training in time.

[0032] With reference to Figure 7 The health community module displays the health education videos and health education tweets released by the family doctor team. The patient can also apply to release the tweet, which can be released after being approved by the doctor team. Like 'WeChat circle', the patient can encourage and exchange with doctors and patients here, learn health knowledge and also enhance the psychological support of patients, which can relieve the nervous, anxious and confused mood of patients.

[0033] With reference to Figure 9 The menu bar in the patient management module includes four modules of personal information, release tweet record, release comment record and personalized setting. The personal information module records the demographic information and health information of the patient, and the personalized setting module provides a way to set font size and interface color. The above personal information and personalized setting can provide more personalized and convenient experience for patients using the system.

[0034] The AI cloud platform generates a health report based on the comprehensive evaluation of the real-time health data and check-in of the patient by big data and its powerful deep learning ability, and sends it to the doctor team. Based on the AI algorithm, the most suitable rehabilitation way for the patient can be generated by effectively integrating multi-party information and combining the special circumstances of the patient, which reduces the pressure of the family doctor on the management of the patients in the community and provides better support for the fine rehabilitation of the patient.

[0035] Although the embodiments of the present application have been shown and described, it can be understood by those skilled in the art that various changes, modifications, replacements and variations can be made to the embodiments without departing from the principles and spirits of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. An intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence, characterized in that, include: Doctor Team Module: Provides login and operating system for family doctor teams; Patient management module: Allows patients and their guardians to log in and use the system; AI cloud platform: used to store, process, and push patient health information; The doctor team module includes a main interface and a menu bar. The main interface includes the family doctor's follow-up calendar, follow-up reminders for the past three days, a distribution map of pulmonary function classification for patients with chronic obstructive pulmonary disease in this community, recommendations of existing guidelines, and patient referral information. The menu bar includes a team member module, a patient management module, a health community module, and a data synchronization module. The patient management module is divided into a patient login portal and a guardian login portal; The AI ​​cloud platform, based on big data and its powerful deep learning capabilities, comprehensively evaluates the patient's real-time health data, attendance records, etc., generates a health report, and sends it to the medical team. After the medical team confirms that the report is correct, it is sent to the patient.

2. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 1, characterized in that: The team member module records the basic information of all team members. After logging in, the administrator can add new members and delete existing members.

3. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 1, characterized in that: The patient management module records the demographic and health information of all chronic obstructive pulmonary disease patients in the community who have established health records, and this information can be modified by the contracted family doctor upon login.

4. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 1, characterized in that: The health community module provides family doctor team members with a way to publish health education videos and health education tweets, and displays the health education videos and health education tweets that the team has already published.

5. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 1, characterized in that: The data synchronization module quickly transmits data from the existing hospital CIS patient management system to the intelligent management system program, while also allowing patient treatment feedback from the intelligent management system to be quickly transmitted to the CIS system.

6. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 1, characterized in that: After logging in through the patient management login portal, the user interface is divided into a main interface and a menu bar. The main interface includes three modules: message reminders, health records, and health community. The menu bar includes four modules: personal information, tweet posting history, comment posting history, and personalized settings. The personal information module records the patient's demographic and health information, while the personalized settings module provides a way to set the font size and interface color.

7. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 6, characterized in that: The message notifications consist of daily tasks, private messages with doctors, and health reports. Daily tasks are personalized treatment plans confirmed by doctors after follow-up visits with patients. Private messages with doctors are online communication channels between doctors and patients. Health reports are daily health reports sent to patients by the AI ​​cloud platform after collecting their health data and being confirmed by their family doctors.

8. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 6, characterized in that: The health record consists of four modules: daily medication, daily exercise, pulmonary rehabilitation training, and device connection. Daily medication and pulmonary rehabilitation training are achieved through patient check-ins. Daily exercise is achieved by connecting to a sports and health APP on the patient's mobile phone and uploading exercise records. Device connection involves connecting to a real-time health data recording device, such as a "wearable pulse oximeter," and uploading the patient's real-time health data to an AI cloud platform.

9. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 6, characterized in that: The health community displays health education videos and articles already published by the family doctor team. Patients can also apply to publish articles, which must be reviewed and approved by the doctor team before they can be published.

10. The intelligent management system for chronic obstructive pulmonary disease based on artificial intelligence according to claim 1, characterized in that: The interface after logging in through the guardian's login portal is completely identical to the patient's interface. The guardian cannot perform any operations on the interface after logging in through the guardian's login portal; they only have viewing rights. The guardian can use the interface to remind the patient.

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