A smart smoking cessation management system

Abstract

This invention relates to the field of health management technology and discloses an intelligent smoking cessation management system, including an intelligent terminal and a cloud server that establish an information interaction connection. The intelligent terminal includes a user terminal and a consultant terminal. The consultant terminal and the user terminal interact with each other through the cloud server. The user terminal includes a nicotine addiction self-testing module, a daily micro-testing module, a health tool module, a consultation module, a nicotine addiction index module, and a recording module. The nicotine addiction self-testing module is used to measure the user's nicotine addiction level and generate quantitative nicotine addiction data. The daily micro-testing module is used to collect self-testing data. The health tool module is used to record factors affecting smoking cessation and generate smoking cessation behavior data. The consultation module is used for user-consultant interaction. The nicotine addiction index module is used to statistically analyze and visualize the user's current nicotine addiction index data. The recording module is used to record the user's adverse reactions during the smoking cessation process. This invention can achieve intelligent, personalized, and comprehensive smoking cessation management.

Description

Technical Field

[0001] This invention relates to the field of health management technology, specifically to an intelligent smoking cessation management system. Background Technology

[0002] According to data from the World Health Organization in 2020, 22.3% of the global population uses tobacco, with 36.7% of the male population and 7.8% of the female population using tobacco. In my country, the current overall smoking rate is estimated at 25.1%, with a smoking rate of 47.6% among men, significantly higher than the 1.9% smoking rate among women.

[0003] Tobacco dependence is a chronic, highly relapsing disease, essentially nicotine dependence. In the general population aged 20-69, the prevalence of tobacco dependence is 13.1%. Among current smokers, the prevalence is 49.7%, with no significant difference between men and women. The incidence of tobacco dependence is significantly correlated with smoking intensity; the greater the smoking intensity, the greater the likelihood of developing tobacco dependence. Data shows that in 2018, 183.5 million adults in China were tobacco dependent, of whom 177.5 million were men.

[0004] Smoking causes a wide range of diseases, primarily respiratory diseases, including chronic obstructive pulmonary disease (COPD), bronchial asthma, small airway dysfunction, respiratory infections, tuberculosis, interstitial lung disease, venous thromboembolism, and sleep apnea. For example, at least 25% of continuing smokers develop COPD; however, quitting smoking has been proven to alter the natural progression of COPD and slow its development. Not only smokers are affected, but non-smokers exposed to secondhand smoke are also impacted. Secondhand smoke leads to serious cardiovascular and respiratory diseases, including coronary heart disease and lung cancer, causing approximately 1.3 million premature deaths annually.

[0005] While quitting smoking has significant health benefits, traditional smoking cessation software relies solely on the smoker's willpower, and the success rate for smokers quitting by willpower alone is only 2%-5%. Most smokers require professional intervention. However, most competing products on the market fail to establish a connection between the user and the consultant, preventing this large group of smokers from receiving consistent professional guidance. Summary of the Invention

[0006] The present invention aims to provide an intelligent smoking cessation management system that can achieve intelligent, personalized and comprehensive smoking cessation management.

[0007] The basic solution provided by this invention is: an intelligent smoking cessation management system, including an intelligent terminal and a cloud server that establish an information interaction connection; the intelligent terminal includes a user terminal and an advisor terminal; the advisor terminal and the user terminal interact with each other through the cloud server;

[0008] The user terminal includes a smoking addiction self-test module, a daily mini-test module, a health tool module, a consultation module, a smoking addiction index module, and a recording module;

[0009] The smoking addiction self-testing module is used to measure the user's smoking addiction level according to preset quantitative rules and generate smoking addiction quantitative data.

[0010] The daily micro-test module is used to provide a self-assessment form and collect self-assessment data; the self-assessment form is generated based on key factors for quitting smoking; the key factors for quitting smoking include nicotine addiction factors and emotional factors;

[0011] The health tools module is used to provide a record grid for factors affecting smoking cessation, and to record these factors to form smoking cessation behavior data;

[0012] The consultation module is used for users to interact with consultants.

[0013] The nicotine addiction index module is used to statistically analyze and visually display the user's current nicotine addiction index data; the nicotine addiction index data is calculated based on quantitative nicotine addiction data, self-test data, and smoking cessation behavior data.

[0014] The recording module is used to record the user's adverse reactions during the smoking cessation process.

[0015] The working principle and advantages of this invention are as follows:

[0016] This invention discloses an intelligent smoking cessation management system. Through close collaboration between the user and consultant ends, combined with the powerful support of cloud servers, it provides modules such as nicotine addiction self-testing, daily mini-tests, health tools, consultation, nicotine addiction index, and records. It comprehensively covers all aspects of the smoking cessation process, ensuring data accuracy, personalized services, and efficient management, significantly improving the success rate of smoking cessation and the user experience. It provides users with a comprehensive, personalized, and efficient smoking cessation solution.

[0017] The key points are as follows: First, the user-side modules (nicotine addiction self-test, daily quizzes, health tools, consultation, nicotine addiction index, and records) provide comprehensive support from nicotine addiction assessment to adverse reaction recording. Through quantitative assessment and data accumulation, personalized smoking cessation advice and intervention measures are provided, improving the success rate of quitting smoking. Specifically, the user-side nicotine addiction self-test module, through preset quantitative rules, can accurately assess the user's level of nicotine addiction, forming objective quantitative data on nicotine addiction. This facilitates the provision of personalized smoking cessation advice and intervention measures to users, and also helps consultants to promptly identify severe cases of nicotine addiction and take necessary intervention measures. The daily quiz module, by providing self-assessment forms, helps users continuously monitor their smoking cessation progress. Based on key factors of smoking cessation (nicotine addiction factors and emotional factors), it conducts a comprehensive assessment to ensure the accuracy of the assessment results. The long-term accumulated self-test data can be used for trend analysis, helping users and consultants better understand the changes in the smoking cessation process.

[0018] The health tools module provides a column for recording factors affecting smoking cessation, helping users record various influencing factors in their daily lives to form smoking cessation behavior data. By recording and analyzing these factors, it helps identify potential reasons affecting the success / failure of quitting smoking and develop targeted solutions. Users can also better manage their smoking cessation behavior and enhance self-control by recording and reviewing their data. The nicotine addiction index module helps users and consultants clearly understand their smoking cessation progress through comprehensive calculation of the nicotine addiction index. Changes in the nicotine addiction index provide a reliable data benchmark for adjusting the smoking cessation plan, ensuring the effectiveness of the plan. The recording module records adverse reactions during the smoking cessation process, helping users and consultants to identify and address problems in a timely manner. Adverse reaction data can serve as an important reference for adjusting the smoking cessation plan, ensuring the safety and effectiveness of the plan. By recording and analyzing adverse reactions, consultants can help users provide timely and appropriate psychological support and intervention measures to help them overcome difficulties in the smoking cessation process.

[0019] Secondly, the consultation module allows users to interact with advisors in real time, receiving professional smoking cessation guidance and support. Users can consult anytime, anywhere, without geographical limitations, improving the convenience and efficiency of consultations. The advisor's end can efficiently manage multiple users, improving work efficiency and management level. This system combines traditional commercial smoking cessation software with clinical smoking cessation clinics. From the hospital's perspective, this approach digitizes the management of smoking cessation clinics, making patient management clearer, and allowing doctors (advisors) to adjust treatment plans according to patients' conditions at any time. From the smoker's (user's) perspective, based on the doctor's professionalism, patients can receive more effective smoking cessation interventions.

[0020] Third, this system, through data quantification and recording across multiple modules, can assist in quantifying the smoking cessation process for users. Frequent and visible feedback stimulates the self-efficacy of those trying to quit, thereby increasing the success rate. In the actual smoking cessation process, besides the guidance received, the outcome is also influenced by the smoker's self-efficacy—the degree of confidence in their ability to consciously perform a certain behavior. Smokers with high self-efficacy are more likely to persevere when faced with high-risk situations that trigger smoking. Conventional smoking cessation methods often struggle to provide timely positive feedback to offset the anxiety and depression associated with quitting, making the process extremely difficult and causing smokers to gradually lose confidence in their success. This solution addresses this issue by providing countermeasures that quantify data to offer intuitive feedback to smokers, promoting improved self-efficacy.

[0021] In summary, this system not only provides comprehensive support from addiction assessment to adverse reaction recording, covering all aspects of the smoking cessation process, but also offers personalized smoking cessation advice and support through quantitative assessment and data accumulation, thereby improving the success rate of quitting smoking. The consultant's end can efficiently manage multiple users through the system, improving work efficiency and management level. The system provides a scientific basis for optimizing and improving smoking cessation programs through data collection and analysis. The user end is designed to be simple and easy to use, providing various interactive and recording tools to enhance user experience and engagement. It can significantly improve the quality and effectiveness of smoking cessation services, helping more users successfully quit smoking and improve their health. Attached Figure Description

[0022] Figure 1 This is a schematic diagram of the system framework structure of an embodiment of the intelligent smoking cessation management system of the present invention. Detailed Implementation

[0023] The following detailed explanation illustrates the specific implementation methods:

[0024] The basic implementation examples are as follows: Figure 1 As shown: An intelligent smoking cessation management system includes an intelligent terminal and a cloud server that establish an information interaction connection; the intelligent terminal includes a user terminal and an advisor terminal; the user terminal and the advisor terminal exist on different intelligent terminals and operate independently; the advisor terminal and the user terminal interact with each other through the cloud server, realizing real-time data synchronization and high availability, ensuring that the information between the user and the advisor is always consistent, while also providing high security and scalability.

[0025] The cloud server includes a data transmission module, a data storage module, and a data processing module. The data transmission module enables two-way information interaction between the smart terminal and the cloud server. The data storage module stores the data generated during the two-way information interaction. The data processing module is used by the smart terminal to perform relevant data calculations.

[0026] The user terminal includes a smoking addiction self-test module, a daily micro-test module, a health tool module, a consultation module, a smoking addiction index module, and a recording module.

[0027] The smoking addiction self-testing module is used to measure the user's smoking addiction level according to preset quantitative rules and generate smoking addiction quantitative data.

[0028] Specifically, in this embodiment, the preset quantification rule is as follows: the user's level of nicotine addiction is first assessed using a nicotine dependence assessment scale, and a scale score is obtained. The scale score × 10 is used as the quantification data of nicotine addiction.

[0029] The self-test module for nicotine addiction collects basic data on nicotine addiction based on a questionnaire to measure the user's level of addiction. The questionnaire includes multiple self-test questions, and different options for each question correspond to different scores. Here, the questionnaire is the nicotine dependence assessment scale in the preset quantification rules.

[0030] The daily micro-test module provides a self-assessment form and collects self-assessment data. This self-assessment form is generated based on key factors for quitting smoking and is used by users to conduct daily self-assessments of these key factors, thereby obtaining self-assessment data. Specifically, the key factors for quitting smoking include nicotine addiction factors and emotional factors.

[0031] Furthermore, the self-assessment form in the daily micro-test module is assigned different scores for different key factors in smoking cessation.

[0032] Specifically, the factors related to nicotine addiction and emotional factors are derived based on a five-level assessment. This five-level assessment includes five evaluation indicators decreasing in quality from best to worst. Specifically, the five-level evaluation indicators for nicotine addiction include mild addiction, moderate addiction, severe addiction, and extreme addiction; these can be determined by the user assessing their nicotine addiction level based on their daily cravings. Preferably, the ratio of the number of cigarettes smoked by the user that day to the user's maximum daily smoking limit can also be collected simultaneously, and the user's actual level of nicotine addiction for that day can be verified again based on this ratio.

[0033] In the assessment of emotional factors, the five-level evaluation index includes very good, good, average, poor, and very poor; users can evaluate their emotions on the same day using the five-level scale.

[0034] The health tools module is used to provide a record of factors affecting smoking cessation and to record these factors, forming smoking cessation behavior data.

[0035] The factors influencing smoking cessation include the user's daily smoking habits, the user's weight and its trend, the user's systolic blood pressure, diastolic blood pressure, heart rate and their trends, the user's dietary composition, food intake, eating habits, exercise, and medication.

[0036] Specifically, in this embodiment, the above-mentioned factors affecting smoking cessation are collected and recorded using a separate unit, including:

[0037] The smoking management unit is used to record a user's daily smoking activity, set a daily limit on the number of cigarettes a user can smoke, and query historical smoking cessation goals set by the user or advisor. The user's daily smoking activity includes the type of cigarette, number of cigarettes smoked, inhalation method, smoking time, recording time, and the person recording the information. The types of cigarettes include, but are not limited to, cigarettes, e-cigarettes, pipe tobacco, and cigars; inhalation methods include local circulation, whole-body circulation, and nasal inhalation.

[0038] The number of inhaled roots is calculated using the following formula:

[0039]

[0040] In the formula, n represents the number of times the user smokes that day, CT i IDI represents the coefficient corresponding to the type of cigarette smoked by a user for the i-th time on a given day. i This represents the coefficient corresponding to the inhalation method when a user smokes for the i-th time on that day.

[0041] The weight management unit records the user's weight and its trends, guiding the user in managing their weight. Weight data can be obtained through manual input by the user, transmission via Bluetooth from the smart scale, or intelligent recognition of photos containing weight measurement results.

[0042] The blood pressure management unit records the user's systolic blood pressure, diastolic blood pressure, heart rate, and their trends. It also records the user's condition at the time of measurement, including whether medication was taken or physical therapy was being performed, and guides the user in managing their blood pressure. Blood pressure data can be obtained through manual input by the user, transmission via Bluetooth from smart hardware such as a smart blood pressure monitor, or intelligent recognition of photos containing blood pressure measurement results.

[0043] The diet management unit records users' dietary combinations, food intake, and eating habits, and manages users' diets. Users can upload food photos for food recognition, enabling intelligent input of relevant dietary information.

[0044] The exercise management unit is used to record the user's exercise status, including the type of exercise and the corresponding amount of exercise, and to manage the user's exercise. The data can be manually entered by the user or obtained by the smartwatch or smart band via Bluetooth transmission.

[0045] The medication management unit is used to record the user's medication usage and remind the user to take the medication on time and in the correct dosage.

[0046] In practical applications, the specific components of the health tools module can be freely added or removed by the user according to their own situation. When the user deletes a component, the consultant will not be able to assign smoking cessation tasks to that component.

[0047] The consultation module is used for users to interact with consultants.

[0048] The consultation module also includes an information uploading unit, a case filling unit, and a case recording unit.

[0049] The information uploading unit is used for users to register personal information, smoking-related information, and smoking cessation-related information before starting a new round of smoking cessation treatment; the personal information includes the user's age, date of birth, and gender; the smoking cessation-related information includes the user's smoking history and smoking cessation history.

[0050] The case filling unit is used to collect users' health data, medication status, smoking cessation date and next follow-up time. Health data includes, but is not limited to, height, weight, blood pressure, exhaled CO measurement and nicotine dependence score.

[0051] The case record unit is used to query historical case registration records, and each case registration is assigned a unique number.

[0052] The consultation module also includes a smoking cessation follow-up unit, a user task unit, and an advisor editing unit.

[0053] The smoking cessation follow-up unit is used to conduct periodic assessments of the user's smoking cessation progress. Specifically, the smoking cessation follow-up unit includes the following during the periodic assessment:

[0054] Information related to the user's smoking cessation status is collected, including the user's health status, weight changes, exercise volume, withdrawal symptoms, smoking history, satisfaction with cessation progress and difficulty, medication use, willingness to quit, and evaluation of the smoking cessation service. In this embodiment, the above information is collected through questionnaires.

[0055] To query a user's past follow-up records and add a new follow-up plan, the information required to add a new follow-up plan includes the follow-up subject, the date of starting smoking cessation, the type of follow-up report, the follow-up date, the follow-up plan creator, the date the follow-up plan was created, and any remarks.

[0056] The system displays the start date of each follow-up, the follow-up date, and the follow-up status in a timeline format. The follow-up status includes three states: expired, in progress, and not started. Users can delete the follow-up plan in this unit.

[0057] The user task unit is used for users to view the consultant's feedback information; the feedback information includes the smoking cessation tasks set by the consultant and the consultant's evaluation of the implementation of the smoking cessation tasks.

[0058] The consultant editing unit allows users to add smoking cessation consultants, view consultant details, and query consultant advice. Specifically, when adding a smoking cessation consultant, users can set filter criteria in the consultant editing unit to personalize their selection. Filter criteria include name, region, title, certification status, the consultant's past client smoking cessation rate, and consultant response speed.

[0059] The nicotine addiction index module is used to statistically analyze and visualize the user's current nicotine addiction index data. This index data is calculated based on quantitative nicotine addiction data, self-test data, and smoking cessation behavior data (optionally, the data processing module is invoked for calculation). Specifically, based on the magnitude of the nicotine addiction index, it is categorized into three levels: mild, moderate, and severe. Based on the comparison between the current and previous nicotine addiction index, the trend is categorized into three scenarios: decreasing, stabilizing, and increasing. The nicotine addiction index module also allows users to query historical nicotine addiction index data.

[0060] The smoking addiction index data is calculated using the following formula:

[0061]

[0062] Where x and y represent the weighting percentages of the self-test data and smoking cessation behavior data scores in the nicotine addiction index, respectively; i represents the question number in the nicotine addiction self-test module; p represents the total number of questions in the nicotine addiction self-test module; and a i Let b represent the score corresponding to the answer to the i-th question, j represent the factor number in the daily quiz module, and b represent the score corresponding to the answer to the i-th question. j c represents the weight of the j-th factor. j Let d represent the score of the j-th factor, k represent the action number in the health tool module, m represent the total number of actions in the health tool module, and d represent the total number of actions in the health tool module. k e represents the weight of the k-th action operation. k This represents the score of the k-th behavioral action; each behavioral action corresponds to a category of smoking cessation influencing factors. Preferably, when the data acquisition path for a certain behavioral action is based on objective evidence (such as data on weight and its changing trends being acquired based on statistical data from a smart scale), its corresponding score is higher than that of behavioral actions where data is only filled in by the user.

[0063] The recording module is used to record the user's adverse reactions during the smoking cessation process, as well as the user's past adverse reaction records.

[0064] The consultant module includes a customer information module, a user consultation module, a task module, and a personal module.

[0065] The customer information module includes a case registration unit, a follow-up unit, and a smoking information unit.

[0066] The case registration unit is used to view and verify the registration information filled in by users during case registration. When abnormal data is found in the registration information, a case return operation is triggered. When the registration information is verified, a case lock operation is triggered. With this setting, consultants can easily query the case information of their associated users and can intelligently verify the case information of users, promptly return or lock the case, and ensure the accuracy of case data.

[0067] The follow-up status unit is used to view and evaluate user follow-up information, add or delete user follow-up plans; when the consultant determines that the follow-up information filled in by the user is abnormal, the follow-up information is returned and a modification tag is added to the follow-up information. This setting can ensure the accuracy of information, and the return of follow-up information and the addition of modification tags can provide users with a clear feedback channel, which helps to promote communication between users and service providers (consultants) and improve the user experience.

[0068] The smoking information unit is used to view the user's personal identity information and the user's smoking-related information; the smoking-related information includes the user's smoking status, the user's adverse reaction data during the smoking cessation process, the user's nicotine addiction index, and the user's task setting status.

[0069] The user consultation module is used to receive consultation interaction information from users (specifically, consultation interaction information submitted by users through the consultation module) and provide consultants with input answers.

[0070] The task module includes a task formulation unit, a task evaluation unit, and a suggestion unit.

[0071] The task creation unit is used to create smoking cessation tasks for users. The task evaluation unit is used to evaluate the user's performance on the smoking cessation tasks, and the evaluation methods include rating and text evaluation. The suggestion unit is used by consultants to provide personalized suggestions to users based on their individual circumstances.

[0072] When creating a smoking cessation task, the consultant selects the task items to be created and sets corresponding task indicators, including daily micro-tests, smoking management, weight management, blood pressure management, diet management, exercise management, and medication management. The consultant can choose one or more of these as the user's smoking cessation task. These task items interact with the daily micro-test module, as well as the smoking management, weight management, blood pressure management, diet management, exercise management, and medication management units in the health tools module.

[0073] The task metrics include task execution batches, task execution time periods, and specific metrics corresponding to each task item. For example, the specific metric corresponding to the smoking management unit is the daily limit on the number of cigarettes a user can smoke.

[0074] Furthermore, in the task creation unit, consultants can choose to create a smoking cessation task template or save an existing task (i.e., the currently created smoking cessation task) as a template. When creating a smoking cessation task next time, consultants can directly publish the created task template or the task modified based on the template to the user, which helps to improve the efficiency of creating and publishing smoking cessation tasks.

[0075] The personal module is used for consultants to register for professional status and to view and edit their personal information.

[0076] This embodiment provides an intelligent smoking cessation management system that, through close collaboration between the user end and the consultant end, combined with the powerful support of cloud servers, offers modules such as nicotine addiction self-testing, daily mini-tests, health tools, consultation, nicotine addiction index, and records. It can comprehensively cover all aspects of the smoking cessation process, ensuring data accuracy, personalized services, and efficient management, and significantly improving the success rate of smoking cessation and user experience.

[0077] The above descriptions are merely embodiments of the present invention. Commonly known structures and characteristics of the solutions are not described in detail here. Those skilled in the art are aware of all common technical knowledge in the field prior to the application date or priority date, are aware of all existing technologies in that field, and have the ability to apply conventional experimental methods prior to that date. Those skilled in the art can, under the guidance of this application, improve and implement this solution in combination with their own capabilities. Some typical known structures or methods should not be obstacles for those skilled in the art to implement this application. It should be noted that those skilled in the art can make several modifications and improvements without departing from the structure of the present invention. These should also be considered within the scope of protection of the present invention, and will not affect the effectiveness of the implementation of the present invention or the practicality of the patent.

Claims

1. An intelligent smoking cessation management system, characterized in that, This includes a smart terminal and a cloud server that establish an information interaction connection; the smart terminal includes a user terminal and an advisor terminal; the advisor terminal and the user terminal interact with data through the cloud server. The user terminal includes a smoking addiction self-test module, a daily mini-test module, a health tool module, a consultation module, a smoking addiction index module, and a recording module; The self-testing module for nicotine addiction is used to measure the user's level of nicotine addiction according to preset quantification rules and generate quantitative data on nicotine addiction. The preset quantification rules are as follows: a basic assessment of the user's level of nicotine addiction is first conducted using a nicotine dependence assessment scale to obtain a scale score, and then the scale score is used as the basis for further assessment. As quantitative data on nicotine addiction; the nicotine addiction self-test module collects basic nicotine addiction data based on a questionnaire to measure the user's level of nicotine addiction; the questionnaire includes multiple self-test questions, and different options for each self-test question are assigned different scores; the self-test assessment table in the daily micro-test module assigns different scores to different key factors for quitting smoking. The daily micro-test module is used to provide a self-assessment form and collect self-assessment data; the self-assessment form is generated based on key factors for quitting smoking; the key factors for quitting smoking include nicotine addiction factors and emotional factors; the nicotine addiction factors and emotional factors are obtained based on a five-level assessment; the five-level assessment includes five evaluation indicators that decrease in value from excellent to poor. The health tools module is used to provide a record grid for factors affecting smoking cessation, and to record these factors to form smoking cessation behavior data; The factors influencing smoking cessation include the user's daily smoking habits, the user's weight and its trend, the user's systolic blood pressure, diastolic blood pressure, heart rate and their trends, the user's dietary composition, food intake, eating habits, exercise, and medication; the user's daily smoking habits include the type of cigarette, number of cigarettes smoked, smoking method, smoking time, recording time, and the person recording; The number of inhaled tubes is calculated using the following formula: ； In the formula, n represents the number of times the user smokes that day. This represents the coefficient corresponding to the type of cigarette smoked by the user for the i-th time on a given day. The coefficient representing the inhalation method corresponding to the user's i-th smoke of the day; The consultation module is used for users to interact with consultants. The nicotine addiction index module is used to statistically analyze and visually display the user's current nicotine addiction index data; the nicotine addiction index data is calculated based on quantitative nicotine addiction data, self-test data, and smoking cessation behavior data; the nicotine addiction index data is calculated using the following formula: ； Where x and y represent the weighting percentages of the self-test data and smoking cessation behavior data scores in the nicotine addiction index, respectively; i represents the question number in the nicotine addiction self-test module; and p represents the total number of questions in the nicotine addiction self-test module. Let j represent the score corresponding to the answer to the i-th question, and j represent the factor number in the daily quiz module. This represents the weight of the j-th factor. Let represent the score of the j-th factor, k represent the action number in the health tool module, and m represent the total number of actions in the health tool module. This represents the weight of the k-th action operation. This represents the score of the k-th behavioral action; each behavioral action corresponds to a category of factors influencing smoking cessation. The recording module is used to record data on adverse reactions experienced by users during the smoking cessation process.

2. The intelligent smoking cessation management system according to claim 1, characterized in that, The consultant module includes a customer information module and a user consultation module; the customer information module includes a case registration unit, a follow-up status unit, and a smoking information unit. The case registration unit is used to view and verify the registration information filled in by the user during case registration; when there is abnormal data in the registration information, the case return operation is triggered; Once the registration information is verified, the case is locked. The follow-up status unit is used to view and evaluate the user's follow-up information, add or delete the user's follow-up plan; when the consultant determines that the follow-up information filled in by the user is abnormal, the follow-up information is returned and a modification label is added to the follow-up information; The smoking information unit is used to view the user's personal identity information and the user's smoking-related information; the smoking-related information includes the user's smoking status, the user's adverse reaction data during the smoking cessation process, the user's nicotine addiction index, and the user's task setting status; The user consultation module is used to receive consultation and interaction information from users and to provide consultants with answers.

3. The intelligent smoking cessation management system according to claim 2, characterized in that, The advisory module also includes a task module; the task module includes a task formulation unit, a task evaluation unit, and a suggestion unit. The task creation unit is used to create smoking cessation tasks for users; The task evaluation unit is used to evaluate the user's performance in completing the smoking cessation task; The suggestion unit is used by consultants to issue personalized suggestions to users based on their specific circumstances.

4. The intelligent smoking cessation management system according to claim 1, characterized in that, The consultation module also includes an information uploading unit, a case filling unit, and a case recording unit; The information uploading unit is used for users to register personal information, smoking-related information, and smoking cessation-related information before starting a new round of smoking cessation treatment; the personal information includes the user's age, date of birth, and gender; the smoking cessation-related information includes the user's smoking history and smoking cessation history. The case filling unit is used to collect users' health data, medication status, smoking cessation date and next follow-up time. Health data includes, but is not limited to, height, weight, blood pressure, exhaled CO measurement and nicotine dependence score. The case record unit is used to query historical case registration records, and each case registration is assigned a unique number.

5. The intelligent smoking cessation management system according to claim 4, characterized in that, The consultation module also includes a smoking cessation follow-up unit, a user task unit, and an advisor editing unit; The smoking cessation follow-up unit is used to conduct periodic assessments of the user's smoking cessation progress; The user task unit is used for users to view the consultant's feedback information; the feedback information includes the smoking cessation tasks set by the consultant and the consultant's evaluation of the implementation of the smoking cessation tasks; The consultant editing unit allows users to add smoking cessation consultants, view consultant details, and query consultant advice.

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