Intelligent chronic disease screening and health management system and method based on integration of treatment and prevention

Abstract

Disclosed in the present invention is an intelligent chronic disease screening and health management system and method based on integration of treatment and prevention. The system comprises: an application end used for acquiring daily health data of a user, wherein the daily health data comprises conventional body indexes, daily diet data, daily medication data, and psychological health data, and the application end comprises an analysis module used for acquiring and analyzing the daily health data of the user sent by the application end, so as to obtain an analysis result; a system platform comprising a feedback module and used for carrying out expert diagnosis on the basis of the analysis result given by the analysis module, and uploading a result of the expert diagnosis; and a database used for storing health data of a healthy user and health data of an unhealthy user. The intelligent chronic disease screening and health management system and method based on integration of treatment and prevention of the present invention creates a periodic management action path for the user, continuously assists in the user in executing management items by taking the day as a unit, uses the management means following a clinical evidence-based basis, and constructs a related model to provide optimal management solutions for patients with different symptoms.

Description

Chronic disease intelligent screening health management system and method based on medical and preventive integration Technical Field

[0001] The present invention relates to the field of health data processing, and in particular to a health management system and method for intelligent screening of chronic diseases based on the integration of medical treatment and prevention. Background Art

[0002] Currently available smart health management systems for chronic disease screening generally enable patients to manually record their daily medication use, use self-service scales to assess compliance, and display a list of health science knowledge. These systems are unable to stimulate users' self-management initiative and long-term continuous management compliance, and have the following shortcomings:

[0003] 1) It is impossible to collect and feedback the patient's long-term control evaluation data, and the control effect on the patient cannot be monitored.

[0004] 2) There is no good supervision and feedback on the occurrence of abnormal conditions in patients.

[0005] 3) It is not possible to coordinate with medical staff to intervene in management, and medical staff cannot remotely manage patient test indicators, assessment results and abnormal conditions, and provide guidance, online consultations and control plans.

[0006] Summary of the Invention

[0007] Based on the above technical defects, the present invention provides a health management system and method for intelligent screening of chronic diseases based on the integration of medical treatment and prevention, which can solve the problems existing in the existing technology.

[0008] The present invention provides a health management system for intelligent screening of chronic diseases based on the integration of medical treatment and prevention, including an application end for obtaining daily health data of users, wherein the daily health data include routine physical indicators, daily diet data, daily medication data, and mental health data; the application module includes an analysis module for obtaining and analyzing the daily health data of users sent by the application end to obtain analysis results; the system platform includes a feedback module for performing expert diagnosis based on the analysis results given by the analysis module and uploading the results of the expert diagnosis; and a database for storing health data of healthy users and health data of unhealthy users.

[0009] In one embodiment of the present invention, the application end includes a monitoring module for obtaining daily health data uploaded by users; a high-risk population screening module for screening out people whose daily health data exceeds the maximum range of routine indicators based on the routine health indicators uploaded by users, and defining this group of people as high-risk people.

[0010] In one embodiment of the present invention, the monitoring module includes a diet monitoring module for obtaining the types and amounts of daily diet uploaded by the user; a medication dosage monitoring module for obtaining the types and amounts of daily medication uploaded by the user; a psychological state monitoring module for obtaining psychological questionnaires uploaded by the user; and a routine physical indicator monitoring module for obtaining the user's routine physical indicators.

[0011] In one embodiment of the present invention, the analysis module includes a dietary health analysis module, which is used to analyze whether the user's daily diet exceeds the standard based on the user's historical health status, routine indicators, and the types and amounts of daily diet uploaded by the user, and obtain a dietary health analysis result; a drug dosage analysis module, which is used to analyze whether the user's daily medication exceeds the standard based on the user's doctor's prescription medication and dosage, routine indicators, and the types and amounts of daily medication uploaded by the user, and obtain a drug dosage analysis result; a psychological state analysis module, which is used to analyze whether the user's current psychological state is healthy based on the psychological questionnaire uploaded by the user and provide a psychological state analysis result.

[0012] In one embodiment of the present invention, the dietary health analysis module also provides recommended daily diet recipes based on the dietary health analysis results; the drug dosage analysis module also determines whether there are adverse drug reactions or drug resistance based on the drug dosage analysis results, and issues reminders to the user or recommends changes to the medication regimen to the expert; the psychological state analysis module also provides the user with a psychological health adjustment plan based on the psychological state analysis results.

[0013] In one embodiment of the present invention, the feedback module includes an expert advice feedback module, and the expert gives feedback based on the dietary health analysis results and the recommended daily diet recipes, and gives feedback based on the drug dosage analysis results and the suggestions for changing the medication regimen.

[0014] The present invention also provides a method for intelligent screening and health management of chronic diseases based on the integration of medical treatment and prevention, comprising the following steps: obtaining the user's daily health data, the daily health data including routine physical indicators, daily diet data, daily medication data, and mental health data; analyzing the user's daily health data to obtain analysis results; performing expert diagnosis based on the analysis results given by the analysis module, and uploading the results of the expert diagnosis.

[0015] In one embodiment of the present invention, the step of obtaining the user's daily health data includes obtaining the daily diet types, diet amounts, daily medication types, medication amounts, psychological questionnaires, and routine physical indicators uploaded by the user.

[0016] In one embodiment of the present invention, in the step of analyzing the user's daily health data and obtaining the analysis results, it includes analyzing whether the user's daily diet exceeds the standard based on the user's historical health status, routine indicators, and the types and amounts of daily diet uploaded by the user, obtaining the diet health analysis results and giving recommended daily diet recipes; analyzing whether the user's daily medication exceeds the standard based on the user's doctor's prescription medication and dosage, routine indicators, and the types and amounts of daily medication uploaded by the user, obtaining the medication dosage analysis results and issuing a reminder to the user or issuing a suggestion to the expert to change the medication plan; analyzing whether the user's current mental state is healthy based on the psychological questionnaire uploaded by the user, giving the psychological state analysis results and giving a mental health adjustment plan.

[0017] In one embodiment of the present invention, in the step of performing expert diagnosis and uploading the results of the expert diagnosis, it includes providing expert online diagnosis results based on the dietary health analysis results, drug dosage analysis results and psychological state analysis results, and sending them to the user. Beneficial effects:

[0018] The present invention is based on the intelligent health management system and method for screening chronic diseases based on the integration of medical treatment and prevention. The present invention builds a periodic management action path for users, continuously helping users to perform management matters on a daily basis. The management means follow clinical evidence-based basis, and builds relevant models to provide the best management solutions for patients with different symptoms. The present invention is based on the principles of digitization and intelligence, accesses intelligent detection equipment, enables various monitoring indicators to be accurately detected and stored, avoids data errors caused by manual records, and performs algorithmic analysis and trend analysis on key indicators; the control evaluation scale is digitized, the scoring results are measurable and traceable, and guidance suggestions are automatically generated. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The technical solutions in the embodiments of the present invention will be described clearly and completely below with reference to the accompanying drawings in the embodiments of the present invention.

[0020] FIG1 is a module diagram of a health management system for intelligent screening of chronic diseases based on integration of medical treatment and prevention according to an embodiment of the present invention.

[0021] Among them: 1 application end; 2 platform system; 3 database;

[0022] 11 Monitoring module; 12 High-risk population screening module; 13 Analysis module;

[0023] 111 diet monitoring module; 112 medication dosage monitoring module;

[0024] 113 Mental state monitoring module; 131 Dietary health analysis module;

[0025] 132 drug dosage analysis module; 133 psychological state analysis module;

[0026] 20 feedback modules. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0028] All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention without creative effort shall fall within the scope of protection of the present invention. It should be noted that if directional indications are involved in the embodiments of the present invention (such as up, down, left, right, front, back, etc.), such directional indications are only used to explain the relative positional relationships and movement conditions between the components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly.

[0029] In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the fact that ordinary technicians in this field can implement them. When the combination of technical solutions is mutually contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0030] As shown in Figure 1, this embodiment provides a chronic disease intelligent screening health management system based on medical and preventive integration, including an application terminal 1, a platform system 2, and a database 3. The database 3 stores health data of healthy users and health data of non-healthy users.

[0031] In some embodiments of the present invention, the application terminal 1 is a smart application terminal 1, which can be a mobile phone, PAD, smart watch, etc. loaded with an application APP, or a computer terminal. The smart application terminal 1 has a communication function and an application interface. The communication function can be WIFI communication or 3G / 4G / 5G data communication.

[0032] The smart application terminal 1 is used to obtain the user's daily health data, which includes routine physical indicators, daily diet data, daily medication data, and mental health data. This data can be modularized and visualized on the application interface of the smart application terminal 1. Specifically, the application terminal 1 includes a monitoring module 11 and a high-risk population screening module 12. The monitoring module 11 is used to obtain daily health data uploaded by the user. The high-risk population screening module 12 screens out people whose daily health data exceeds the maximum range of routine indicators based on the routine daily health indicators uploaded by the user, and defines this group as a high-risk group. The monitoring module 11 includes a diet monitoring module 111, a medication usage monitoring module 112, and a psychological state monitoring module 113. The diet monitoring module 111 is used to obtain the daily diet types and amounts uploaded by the user; the medication usage monitoring module 112 is used to obtain the daily medication types and amounts uploaded by the user; the psychological state monitoring module 113 is used to obtain psychological questionnaires uploaded by the user; and the routine physical indicator monitoring module is used to obtain the user's routine physical indicators. When collecting daily health data, especially routine indicators, some data can be collected automatically, while some requires user input. For example, heart rate data and exercise data. This automatically collected data can be achieved through a series of sensors. For example, physiological sensors can detect the user's vital signs, such as heart rate, blood pressure, body temperature, and blood oxygen level. Motion sensors, which are equipped on some smart wearable devices, can detect the user's movement status, including step count, acceleration, and angle. This data can be analyzed by analyzing the user's movement data. Biometric sensors can detect brainwave information and heart rate variability. Analyzing this biometric information can help monitor the user's emotional state and attention, providing more accurate posture monitoring and recommendations. Environmental sensors can detect environmental data such as light, temperature, humidity, and radiation. This environmental information can be analyzed to make appropriate adjustments, such as recommending light-blocking glasses or increasing thermal insulation. For data that requires user input, such as weight, the user must measure and enter it into the application. For other data, such as daily diet data and medication usage, the user must enter their daily dietary data, such as the type and weight of staple foods and the type and weight of vegetables. Medication data includes medication type, frequency, and dosage per dose. During screening, the high-risk population screening module 12 compares the user's uploaded daily health data with the health data of healthy users stored in the database 3. If two or more indicators show obvious abnormalities, the user is judged to be a high-risk group. For example, if a user is 170cm tall, weighs 120kg, has total cholesterol ≥6.2mmol / L, low-density lipoprotein cholesterol ≥4.1mmol / L, high-density lipoprotein cholesterol <1.0mmol / L, and triglyceride level ≥2.3mmol / L, then it is considered dyslipidemia.

[0033] Because dyslipidemia primarily increases the risk of ASCVD, the ideal lipid profile for primary ASCVD prevention in my country is total cholesterol below 5.2 mmol / L, low-density lipoprotein cholesterol below 3.4 mmol / L, and triglycerides below 1.7 mmol / L. Ideally, low-density lipoprotein cholesterol should be below 2.6 mmol / L. If intervention for dyslipidemia is indicated, it is primarily intended to prevent ASCVD.

[0034] The application terminal 1 has a data model that can execute relevant instructions. The data model includes an analysis module 13, which obtains and analyzes the daily health data of the user sent by the application terminal 1 to obtain analysis results. The analysis modules include a diet health analysis module 131, a medication dosage analysis module 132, and a psychological state analysis module 133. In some embodiments, the diet health analysis module 131 is used to analyze whether the user's daily diet exceeds the standard based on the user's historical health status, routine indicators, and the daily diet types and amounts uploaded by the user, and obtain a diet health analysis result; the medication dosage analysis module 132 is used to analyze whether the user's daily medication exceeds the standard based on the user's doctor's prescription medication and dosage, routine indicators, and the daily medication types and dosage uploaded by the user, and obtain a medication dosage analysis result; the psychological state analysis module 133 is used to analyze whether the user's current psychological state is healthy based on the psychological questionnaire uploaded by the user and provide a psychological state analysis result.

[0035] In one embodiment of the present invention, the dietary health analysis module 131 also provides recommended daily diet recipes based on the dietary health analysis results; the drug dosage analysis module 132 also determines whether there are adverse drug reactions or drug resistance based on the drug dosage analysis results, and issues reminders to the user or recommends changes to the medication regimen to the expert; the psychological state analysis module 133 also provides the user with a psychological health adjustment plan based on the psychological state analysis results.

[0036] Specifically, the dietary health analysis module 131 mainly analyzes the total calorie, carbohydrate, protein and fat content of the daily diet, and recommends updated recipes by comparing it with the individual's daily intake standards. The drug dosage analysis module 132 will generate a periodic medication plan for the user (including the name, specifications, usage and dosage of the required drugs, and the course of treatment); the drug intake rationality analysis module uses the patient's medication records and feedback physical signs to determine whether there are adverse drug reactions or drug resistance, thereby reminding the patient and doctor to change the medication plan. The psychological state analysis module 133 will periodically recommend psychological questionnaires for patients to answer; the psychological state analysis module will analyze the current patient's psychological state based on the questionnaire results and provide relief solutions for patients with poor psychological state.

[0037] The system platform 2 is a computer or a computer group, which has an application platform. The application platform includes the feedback module 20, which performs expert diagnosis based on the analysis results given by the analysis module and uploads the results of the expert diagnosis. In some embodiments, the feedback module 20 includes an expert advice feedback module, in which experts give feedback based on the dietary health analysis results and the recommended daily diet recipes, as well as feedback based on the drug dosage analysis results and the suggestions for changing the medication regimen. Since some analysis results are based on system and big data analysis, some analysis results may need to be adjusted for individual users. In this case, experts can give professional advice based on the analysis results and the user's own physical characteristics.

[0038] The intelligent chronic disease screening health management system based on the integration of medical and preventive care is used in the user's life scenarios, in which the monitoring module 11 monitors the user's lifestyle; the analysis module can preliminarily judge the user's health status based on the monitoring results of the monitoring module 11 and issue reminders to the user; the feedback module 20 uploads the monitored data to the local hospital database 3 through the upload module for archiving. When the doctor consults the user, the archived data can be used as a reference; the doctors in the community hospital and the users implement a contract system, and the users can seek help online through the mini program. The doctor formulates scientific and effective treatment methods based on the archived data and the monitoring results.

[0039] The present invention also provides a method for intelligent screening and health management of chronic diseases based on the integration of medical treatment and prevention, which includes the following steps.

[0040] Acquire the user's daily health data, including general physical indicators, daily diet data, daily medication data, and mental health data. The step of acquiring the user's daily health data includes acquiring the user's uploaded data on daily diet types, dietary intake, daily medication types, medication intake, psychological questionnaires, and general physical indicators. Specific data acquisition methods can be described above, i.e., data can be collected and acquired through various sensors, or manually input into the application terminal 1 after the user has measured the data themselves.

[0041] Analyze the user's daily health data and obtain analysis results; in the step of analyzing the user's daily health data and obtaining analysis results, include analyzing whether the user's daily diet exceeds the standard based on the user's historical health status, routine indicators, and the types and amounts of daily diet uploaded by the user, obtain dietary health analysis results and give recommended daily diet recipes; analyze whether the user's daily medication exceeds the standard based on the user's doctor's prescription medication and dosage, routine indicators, and the types and amounts of daily medication uploaded by the user, obtain medication dosage analysis results and send reminders to the user or send suggestions for changes to the medication plan to experts; analyze whether the user's current mental state is healthy based on the psychological questionnaire uploaded by the user, give psychological state analysis results and give a mental health adjustment plan.

[0042] Based on the analysis results provided by the analysis module, an expert diagnosis is performed and the results of the expert diagnosis are uploaded. The steps of performing the expert diagnosis and uploading the expert diagnosis results include providing the expert online diagnosis results based on the results of the diet health analysis, the results of the drug dosage analysis, and the results of the psychological state analysis, and sending them to the user.

[0043] The above is a further detailed description of the present invention in conjunction with specific preferred embodiments, and the specific implementation of the present invention should not be considered to be limited to these descriptions. For those skilled in the art of the present invention, several simple deductions or substitutions can be made without departing from the concept of the present invention, and all of these should be considered to fall within the scope of protection of the present invention.

Claims

1. A chronic disease intelligent screening health management system based on the integration of medical treatment and prevention, characterized by: The application end includes an application end for obtaining the daily health data of the user, wherein the daily health data includes conventional physical indicators, daily diet data, daily medication data, and mental health data; the application end includes an analysis module for obtaining and analyzing the daily health data of the user sent by the application end to obtain analysis results; The system platform includes a feedback module, which performs expert diagnosis based on the analysis results given by the analysis module and uploads the results of the expert diagnosis; as well as The database stores health data of healthy users and health data of unhealthy users.

2. The intelligent chronic disease screening health management system based on medical and preventive integration according to claim 1 is characterized by: The application end also includes Monitoring module, used to obtain daily health data uploaded by users; The high-risk population screening module, based on the routine health indicators uploaded by users, screens out people whose daily health data exceeds the maximum range of routine indicators, and defines this group of people as high-risk people.

3. The intelligent chronic disease screening health management system based on medical and preventive integration according to claim 2 is characterized by: The monitoring module includes Diet monitoring module, used to obtain the daily diet types and amounts uploaded by users; The drug dosage monitoring module allows users to obtain the types and dosages of daily medications uploaded by users; The psychological state monitoring module is used to obtain psychological questionnaires uploaded by users; The general body index monitoring module is used to obtain the user's general body index.

4. The intelligent chronic disease screening health management system based on medical and preventive integration according to claim 2 is characterized by: The analysis module includes A dietary health analysis module is used to analyze whether the user's daily diet exceeds the standard based on the user's historical health status, conventional indicators, and the daily diet types and diet amounts uploaded by the user, and obtain dietary health analysis results; The drug dosage analysis module is used to analyze whether the user's daily medication exceeds the standard based on the user's doctor's prescription medication and dosage, routine indicators, and the types and dosages of daily medications uploaded by the user, and obtain drug Results of substance usage analysis; The psychological state analysis module is used to analyze whether the user's current psychological state is healthy based on the psychological questionnaire uploaded by the user and give the psychological state analysis results.

5. The intelligent health management system for chronic disease screening based on medical and preventive integration according to claim 4 is characterized by: The dietary health analysis module also provides recommended daily dietary recipes based on the dietary health analysis results; the drug dosage analysis module also determines whether there are adverse drug reactions or drug resistance based on the drug dosage analysis results, and issues reminders to users or suggests changes to medication regimens to experts; The psychological state analysis module also provides the user with a psychological health adjustment plan based on the psychological state analysis results.

6. The intelligent chronic disease screening health management system based on medical and preventive integration according to claim 5 is characterized by: The feedback module includes an expert suggestion feedback module, and the experts give feedback based on the dietary health analysis results and the recommended daily dietary recipes, and give feedback based on the drug dosage analysis results and the suggestions for changing the medication regimen.

7. A method for intelligent screening and health management of chronic diseases based on the integration of medical treatment and prevention, characterized in that: The following steps are involved: Acquire the user's daily health data, which includes routine physical indicators, daily diet data, daily medication data, and mental health data; Analyze the user's daily health data and obtain analysis results; According to the analysis results given by the analysis module, expert diagnosis is performed and the results of the expert diagnosis are uploaded.

8. The method for intelligent screening and health management of chronic diseases based on medical and preventive integration according to claim 7 is characterized in that: The step of obtaining the user's daily health data includes obtaining the daily diet types, diet amounts, daily medication types, medication amounts, psychological questionnaires, and routine physical indicators uploaded by the user.

9. The method for intelligent screening and health management of chronic diseases based on medical and preventive integration according to claim 8 is characterized in that: In the step of analyzing the user's daily health data and obtaining the analysis results, the user's daily diet is analyzed to determine whether it exceeds the standard based on the user's historical health status, conventional indicators, and the types and amounts of daily diet uploaded by the user, thereby obtaining a dietary health analysis result and providing a recommended daily diet recipe; Analyze whether the user's daily medication exceeds the standard based on the user's doctor's prescription medication and dosage, routine indicators, and the types and dosages of daily medication uploaded by the user, obtain the drug dosage analysis results and send reminders to the user or send suggestions for changes to the medication plan to the expert; Based on the psychological questionnaire uploaded by the user, analyze whether the user's current mental state is healthy, give the psychological state analysis results and provide a mental health adjustment plan.

10. The method for intelligent screening and health management of chronic diseases based on medical and preventive integration according to claim 9 is characterized in that: In the step of conducting expert diagnosis and uploading the results of the expert diagnosis, an expert online diagnosis result is given based on the results of the diet health analysis, the results of the drug dosage analysis and the results of the psychological state analysis, and sent to the user.

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