Simple screening and grading management system for cardiovascular risks

Abstract

The invention discloses a simple screening and hierarchical management system for cardiovascular risks, and the system comprises a simple data collection module which is used for collecting basic health data and life style data of a user through a portable device or a mobile terminal; and the risk assessment module is used for operating an improved cardiovascular risk assessment model based on the basic health data, the lifestyle data and other dimension information, and generating a cardiovascular risk probability and a risk level. According to the simple screening and hierarchical management system for cardiovascular risks, through a mode of combining automatic acquisition and manual input, the data acquisition threshold is greatly reduced, professional medical equipment is not needed, a user or primary medical personnel can quickly master the system, the system is adaptive to scenes such as family autonomous monitoring, community centralized screening and primary medical daily management and control, and the system is suitable for popularization and application. Dependence on professional organizations is avoided, and the cardiovascular early screening coverage rate is greatly increased.

Description

Technical Field

[0001] This invention relates to the field of medical and health technology, specifically to a simplified cardiovascular risk screening and classification management system. Background Technology

[0002] The reference patent is titled "A Cardiovascular Disease Assessment and Management System" (Authorization Announcement No.: CN117219243A, Authorization Announcement Date: 2023.12.12). After analyzing patient data through a consultation judgment module, it determines whether the patient needs to seek medical attention. When a consultation is deemed necessary, a consultation reminder is sent to the patient via a terminal device. Upon the patient's need for consultation, a recommendation module is activated. This module acquires multiple data points from the cardiology departments of several hospitals, generates consultation recommendation values ​​for each hospital, and sorts the hospitals according to these values. The sorted results are then sent to the patient via the terminal device. A higher consultation recommendation value indicates that the hospital is more suitable for the patient, resulting in a higher recommendation index. This management system effectively reminds patients to seek medical attention promptly and improves the efficiency and effectiveness of their medical visits.

[0003] Based on the aforementioned documents, cardiovascular disease is the leading cause of death and disability worldwide, characterized by high morbidity, high disability rate, and high mortality rate, with an increasingly younger age of onset. Currently, existing cardiovascular risk assessment tools have the following shortcomings: 1. Traditional assessment models rely on professional medical personnel to collect multiple data points and perform manual calculations, making them difficult to implement in primary healthcare or home settings; 2. Most models use fixed weights to calculate risk, failing to fully consider the differences in sensitivity to cardiovascular risk factors among different age and gender groups, thus limiting the accuracy of assessment results; 3. Existing systems mostly only implement risk assessment functions, lacking full-process management from "screening-assessment-grading-intervention-effect tracking," and cannot dynamically adjust intervention plans according to changes in user risk. Therefore, this invention provides a simplified cardiovascular risk screening and grading management system. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a simplified cardiovascular risk screening and grading management system, which solves the problems of high operational threshold, weak assessment targeting, and lack of closed-loop management in existing cardiovascular risk management systems.

[0005] To achieve the above objectives, the present invention provides the following technical solution: a simplified cardiovascular risk screening and grading management system, comprising: A simple data collection module is used to collect users' basic health and lifestyle data through portable devices or mobile terminals; The risk assessment module is used to run an improved cardiovascular risk assessment model based on the basic health data, lifestyle data and other dimensional information to generate cardiovascular risk probability and risk level; The hierarchical management module divides users into three levels—low risk, medium risk, and high risk—based on the risk probability and risk level output by the risk assessment module, and formulates corresponding management strategies for different levels. The intervention guidance module generates personalized intervention guidance plans based on the user's risk level and lifestyle data, including dietary recommendations, exercise plans, and suggestions for adjusting lifestyle habits. The data management module stores users' basic information, health data, risk assessment results, and intervention records, and supports data querying, updating, and exporting.

[0006] Preferably, the simplified data acquisition module includes a manual input unit and a smart device connection unit. The smart device connection unit can wirelessly connect to a smart blood pressure monitor or a smart bracelet to automatically acquire monitoring data.

[0007] Preferably, the basic health data includes at least two of age, gender, height, weight, blood pressure, and heart rate; the lifestyle data includes at least one of smoking history, drinking history, exercise frequency, and dietary habits; and the other dimensions of information include at least one of diabetes history, hypertension history, family history of coronary heart disease, and family history of stroke.

[0008] Preferably, the improved cardiovascular risk assessment model introduces a dynamic weight adjustment mechanism on the basis of the traditional logistic regression model. Based on the correlation between age and gender and cardiovascular risk confirmed by clinical studies, the weights of each risk factor are adaptively adjusted to make the risk assessment results more targeted for different populations.

[0009] Preferably, the risk level classification standard of the hierarchical management module is as follows: low risk is a probability of cardiovascular events occurring in the next 10 years < 5%, medium risk is 5% ≤ probability of cardiovascular events occurring in the next 10 years < 10%, and high risk is a probability of cardiovascular events occurring in the next 10 years ≥ 10%.

[0010] Preferably, the intervention guidance module further includes an effect evaluation unit, which sets a differentiated evaluation cycle according to the user's risk level, regularly evaluates the intervention effect based on the user's updated health data, and dynamically adjusts the intervention plan based on the evaluation results.

[0011] Preferably, the differentiated assessment period is: every 3-6 months for low risk, every 1-3 months for medium risk, and every 2-4 weeks for high risk.

[0012] Preferably, the data management module also includes a data security and privacy protection unit, which ensures the security of user health data during storage, transmission and use through data encryption, access permission classification and operation log recording mechanisms, and only authorized users and medical service personnel authorized by the user can access the relevant data.

[0013] Beneficial effects This invention provides a simplified cardiovascular risk screening and triage management system. Compared with existing technologies, it has the following advantages: 1. This simple cardiovascular risk screening and hierarchical management system greatly reduces the data collection threshold by combining "automatic collection + manual input". No professional medical equipment is required, and users or primary healthcare workers can quickly get started. It is suitable for scenarios such as home self-monitoring, community centralized screening, and daily management of primary healthcare, eliminating dependence on professional institutions and significantly improving the coverage of early cardiovascular screening.

[0014] 2. This simplified cardiovascular risk screening and grading management system introduces a dynamic weight adjustment mechanism into the improved cardiovascular risk assessment model. It dynamically adjusts the risk weights corresponding to age and gender based on clinical data, and integrates health, lifestyle and medical history data from multiple dimensions. The assessment accuracy is improved compared with the traditional model, avoiding the bias of single-factor assessment.

[0015] 3. This simplified cardiovascular risk screening and grading management system constructs a complete process of "collection-assessment-grading-intervention-tracking", formulates differentiated strategies according to risk level, and dynamically optimizes intervention plans based on changes in user health data. It solves the problem of traditional systems that only assess without follow-up management, and improves the long-term risk management effect. Attached Figure Description

[0016] Figure 1 This is a general block diagram of the principle of the present invention; Figure 2 This is the core flowchart of the risk assessment of the present invention; Figure 3 This is a flowchart illustrating the hierarchical management and intervention process of this invention; Figure 4 This is a flowchart illustrating the data security and usage process of the present invention. Figure 5 This is a flowchart of the data acquisition and preliminary storage process of the present invention.

[0017] In the diagram: 1-Data acquisition module, 2-Risk assessment module, 3-Tiered management module, 4-Intervention guidance module, 5-Data management module. Detailed Implementation

[0018] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0019] Please see Figure 1-5 The present invention provides a technical solution: A simplified cardiovascular risk screening and triage management system includes: Simple data collection module 1 is used to collect users' basic health data and lifestyle data through portable devices or mobile terminals; Risk assessment module 2 is used to run an improved cardiovascular risk assessment model based on basic health data, lifestyle data and other dimensions of information to generate cardiovascular risk probability and risk level; The hierarchical management module 3 divides users into three levels—low risk, medium risk, and high risk—based on the risk probability and risk level output by the risk assessment module 2, and formulates corresponding management strategies for different levels. Intervention guidance module 4 generates personalized intervention guidance plans based on the user's risk level and lifestyle data, including dietary recommendations, exercise plans, and suggestions for adjusting lifestyle habits; Data management module 5 is used to store users' basic information, health data, risk assessment results and intervention records, and supports data querying, updating and exporting.

[0020] Risk assessment module 2 is connected to simplified data collection module 1; hierarchical management module 3 is connected to risk assessment module 2; intervention guidance module 4 is connected to hierarchical management module 3; and data management module 5 is connected to simplified data collection module 1, risk assessment module 2, hierarchical management module 3, and intervention guidance module 4 respectively. The improved cardiovascular risk assessment model introduces a dynamic weight adjustment mechanism on the basis of the traditional logistic regression model. Based on the association between age and gender and cardiovascular risk confirmed by clinical research, such as the weight of hypertension on cardiovascular risk in middle-aged men being higher than that in women of the same age, and the risk weight of a history of diabetes in the elderly being higher than that in young people, the weight of each risk factor is adaptively adjusted to make the risk assessment results of different groups more targeted. Tiered management module: For low-risk users, a strategy of "regular monitoring + health education" is formulated; for medium-risk users, a strategy of "enhanced monitoring + lifestyle intervention" is formulated; and for high-risk users, a strategy of "medical follow-up + personalized intervention + emergency early warning" is formulated. The traditional Logistic Regression model is a statistical modeling method commonly used for binary classification problems. It is widely applied in fields such as medicine, sociology, and economics. Its core is to predict the probability of the dependent variable taking a certain outcome by establishing the association between the independent variable and the "binary dependent variable" (such as "occurred cardiovascular event / did not occur cardiovascular event" or "had disease / did not have disease").

[0021] In terms of application scenarios, the traditional Logistic regression model has become a commonly used tool for early medical risk assessment due to its simple principle, strong interpretability (it can intuitively determine the direction and magnitude of the influence of each factor through the regression coefficients), and relatively low data requirements (it does not need to strictly satisfy a normal distribution). For example, in the cardiovascular field, it has been used to combine factors such as age, blood pressure, and cholesterol levels to preliminarily predict the probability of a user experiencing cardiovascular events such as myocardial infarction or stroke within a certain period of time, such as 10 years. By combining "automatic collection + manual input", the data collection threshold is greatly reduced. No professional medical equipment is required, and users or primary healthcare workers can quickly get started. It is suitable for scenarios such as home self-monitoring, community centralized screening, and daily management of primary healthcare, freeing people from dependence on professional institutions and significantly improving the coverage of early cardiovascular screening.

[0022] In this embodiment of the invention, the simplified data acquisition module 1 includes a manual input unit and a smart device connection unit. The smart device connection unit can wirelessly connect to a smart blood pressure monitor and a smart bracelet to automatically acquire monitoring data.

[0023] The smart device connection unit can connect to smart blood pressure monitors and smart bracelets wirelessly via Bluetooth, Wi-Fi, etc., and automatically acquire monitoring data such as blood pressure and heart rate; The manual input unit allows users or medical staff to input data that cannot be automatically collected, such as age, gender, and smoking history, thus achieving comprehensive and convenient data collection. In this embodiment of the invention, basic health data includes at least two of age, gender, height, weight, blood pressure, and heart rate; lifestyle data includes at least one of smoking history, drinking history, exercise frequency, and dietary habits; and other dimension information includes at least one of diabetes history, hypertension history, family history of coronary heart disease, and family history of stroke.

[0024] In this embodiment of the invention, the improved cardiovascular risk assessment model introduces a dynamic weight adjustment mechanism on the basis of the traditional logistic regression model. Based on the correlation between age and gender and cardiovascular risk confirmed by clinical research, the weights of each risk factor are adaptively adjusted to make the risk assessment results more targeted for different populations.

[0025] In this embodiment of the invention, the risk level classification standard of the hierarchical management module 3 is as follows: low risk is a probability of cardiovascular events occurring in the next 10 years < 5%, medium risk is 5% ≤ probability of cardiovascular events occurring in the next 10 years < 10%, and high risk is a probability of cardiovascular events occurring in the next 10 years ≥ 10%.

[0026] In this embodiment of the invention, the intervention guidance module 4 further includes an effect evaluation unit. The effect evaluation unit sets a differentiated evaluation cycle according to the user's risk level, regularly evaluates the intervention effect based on the user's updated health data, and dynamically adjusts the intervention plan based on the evaluation results.

[0027] In this embodiment of the invention, the differentiated assessment period is specifically as follows: every 3-6 months for low risk, every 1-3 months for medium risk, and every 2-4 weeks for high risk.

[0028] In this embodiment of the invention, the data management module 5 also includes a data security and privacy protection unit, which ensures the security of user health data during storage, transmission and use through data encryption, access permission classification and operation log recording mechanisms, and only authorized users and medical service personnel authorized by the user can access the relevant data.

[0029] The improved cardiovascular risk assessment model introduces a dynamic weight adjustment mechanism, which dynamically adjusts the risk weights corresponding to age and gender based on clinical data. It integrates health, lifestyle and medical history data from multiple dimensions, improving the accuracy of the assessment compared to the traditional model and avoiding the bias of single-factor assessment.

[0030] By constructing a complete process of "collection-assessment-grading-intervention-tracking", differentiating strategies are formulated according to risk levels, and intervention plans are dynamically optimized in combination with changes in user health data, which solves the problem of traditional systems that only assess without follow-up management and improves the long-term risk management effect.

[0031] Furthermore, any content not described in detail in this specification is existing technology known to those skilled in the art.

[0032] The system works as follows: S1. Data Acquisition and Transmission: Users can wirelessly transmit the monitoring data from their portable devices to the system via Bluetooth / Wi-Fi through the smart device connection unit of the simple data acquisition module 1. At the same time, they can supplement non-automatically collected data such as age and smoking history through the manual input unit. After the data collection is completed, the module will integrate the basic health data, lifestyle data and other dimensions of information and synchronize them to the risk assessment module 2 and the data management module 5 in real time. S2. Intelligent Risk Assessment: After receiving the collected data, the risk assessment module 2 calls the improved Logistic regression model to first verify the validity of the data, and then initiates a dynamic weight adjustment mechanism based on the clinical research pattern. For example, it increases the hypertension risk weight for a 55-year-old male hypertension user, calculates the probability of cardiovascular events in the next 10 years through multi-factor weighted calculation, generates a risk level by matching the grading standard, and synchronizes the assessment results to the grading management module 3 and the data management module 5. S3, Generation of hierarchical strategies: The hierarchical management module 3 retrieves the preset hierarchical management rule library based on the received risk probability and level, and matches corresponding management strategies for users with different risks. For example, high-risk users are matched with the "medical follow-up + emergency warning" strategy, and the strategy is pushed to the intervention guidance module 4 and simultaneously synchronized to the data management module 5 for archiving, so as to facilitate subsequent traceability. S4. Personalized Intervention and Effect Tracking: The intervention guidance module 4 combines risk level, management strategy and user lifestyle data to generate personalized plans for diet, exercise and habit adjustment; the effect evaluation unit sets the evaluation cycle according to the risk level, such as every 2-4 weeks for high risk. After the expiration, it automatically reminds users to update their health data, and then evaluates the intervention effect based on the updated data. If the effect does not meet expectations, the intervention plan is dynamically optimized and the plan adjustment record is synchronized to the data management module 5. S5. Data Security Management: When receiving data synchronously at each stage, the data management module 5 encrypts it in real time through the data security and privacy protection unit, and controls access according to three levels of permissions: user, medical staff, and system. All data query and modification operations generate operation logs to ensure that the data is traceable throughout its entire life cycle. At the same time, it supports users / medical staff to query historical data and export evaluation reports as needed, achieving a balance between data security and ease of use.

[0033] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0034] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A simplified cardiovascular risk screening and grading management system, characterized in that, include: A simple data collection module (1) is used to collect users’ basic health data and lifestyle data through portable devices or mobile terminals; The risk assessment module (2) is used to run an improved cardiovascular risk assessment model based on the basic health data, lifestyle data and other dimensional information to generate cardiovascular risk probability and risk level; The hierarchical management module (3) divides users into three levels: low risk, medium risk and high risk, based on the risk probability and risk level output by the risk assessment module (2), and formulates corresponding management strategies for different levels. The intervention guidance module (4) generates personalized intervention guidance plans based on the user's risk level and lifestyle data, including dietary recommendations, exercise plans, and lifestyle adjustment suggestions; The data management module (5) is used to store users’ basic information, health data, risk assessment results and intervention records, and supports data query, update and export.

2. The simplified cardiovascular risk screening and classification management system according to claim 1, characterized in that: The simplified data acquisition module (1) includes a manual input unit and a smart device connection unit. The smart device connection unit can be wirelessly connected to a smart blood pressure monitor and a smart bracelet to automatically acquire monitoring data.

3. The simplified cardiovascular risk screening and classification management system according to claim 1, characterized in that: The basic health data includes at least two of the following: age, gender, height, weight, blood pressure, and heart rate. The lifestyle data includes at least one of the following: smoking history, drinking history, exercise frequency, and dietary habits. The other dimensions of information include at least one of the following: history of diabetes, history of hypertension, family history of coronary heart disease, and family history of stroke.

4. The simplified cardiovascular risk screening and classification management system according to claim 1, characterized in that: The improved cardiovascular risk assessment model introduces a dynamic weight adjustment mechanism on the basis of the traditional logistic regression model. Based on the correlation between age and gender and cardiovascular risk confirmed by clinical research, the weights of each risk factor are adaptively adjusted to make the risk assessment results more targeted for different populations.

5. The simplified cardiovascular risk screening and classification management system according to claim 1, characterized in that: The risk level classification criteria of the hierarchical management module (3) are as follows: low risk is a probability of cardiovascular events occurring in the next 10 years < 5%, medium risk is 5% ≤ probability of cardiovascular events occurring in the next 10 years < 10%, and high risk is a probability of cardiovascular events occurring in the next 10 years ≥ 10%.

6. The simplified cardiovascular risk screening and classification management system according to claim 1, characterized in that: The intervention guidance module (4) also includes an effect evaluation unit. The effect evaluation unit sets a differentiated evaluation cycle according to the user's risk level, regularly evaluates the intervention effect based on the user's updated health data, and dynamically adjusts the intervention plan based on the evaluation results.

7. A simplified cardiovascular risk screening and classification management system according to claim 6, characterized in that: The differentiated assessment cycles are as follows: every 3-6 months for low risk, every 1-3 months for medium risk, and every 2-4 weeks for high risk.

8. The simplified cardiovascular risk screening and classification management system according to claim 1, characterized in that: The data management module (5) also includes a data security and privacy protection unit, which ensures the security of user health data during storage, transmission and use through data encryption, access permission level and operation log recording mechanism, and only authorized users and medical service personnel authorized by users can access the relevant data.

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