Vaccination behavior intervention system and method

Abstract

The invention discloses a vaccination behavior intervention system and method, and belongs to the technical field of vaccination management. The system comprises a security and privacy module, a user health file module, a personalized behavior intervention module, an NLP module, a data acquisition and analysis module, a real-time feedback module and the like, security and privacy are guaranteed by setting login authority and encrypting user information, a personalized intervention plan is made by using the user health file, a user language is processed to obtain an inoculation intention, and an inoculation information generation report is analyzed. And further adjusting the intervention plan and carrying out reminding and follow-up. Compared with a traditional intervention means, the vaccination method can overcome the limitation that the information spreading speed is low, and accuracy and individuation are insufficient, individual vaccination behaviors are intervened and guided in real time through an intelligent means, the vaccination rate of the public can be increased, and public health challenges can be coped with.

Description

Technical Field

[0001] This invention relates to the field of vaccine administration technology, and more specifically to a vaccine administration behavior intervention system and method. Background Technology

[0002] Vaccination is an important means of preventing infectious diseases, but globally, due to information asymmetry, misconceptions, or psychological barriers, many people hesitate or refuse to get vaccinated, which poses a huge challenge to public health.

[0003] Currently, vaccination interventions mainly rely on methods such as doctor consultations and public health education. However, these methods have limitations in terms of information dissemination speed, accuracy, and personalized services, making it difficult to meet the needs of large-scale, personalized interventions.

[0004] Therefore, developing a vaccination behavior intervention system and method to improve the public's vaccination rate is an urgent problem that needs to be solved by those skilled in the art. Summary of the Invention

[0005] In view of this, the present invention provides a vaccination behavior intervention system and method, which uses intelligent means to intervene in and guide an individual's vaccination behavior in real time.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: On one hand, this invention proposes a vaccination behavior intervention system, comprising: The security and privacy module is used to set system login permissions and encrypt user information; The user health record module is used to store users' basic information and health records; The personalized behavior intervention module is used to develop personalized intervention plans based on the user's health records. The NLP module is used to process user language, obtain user vaccination intentions, and provide dialogue interaction. The data acquisition and analysis module is used to analyze the user's vaccination information and generate a vaccination analysis report; The real-time feedback module is used to adjust the personalized intervention plan based on the vaccination intention and the vaccination analysis report, and to remind the user of vaccination and track the vaccination progress.

[0007] Preferably, the security and privacy module sets login permissions by introducing a multi-layer authentication mechanism and uses the AES encryption algorithm to encrypt and store sensitive data.

[0008] Preferably, the personalized behavior intervention module uses machine learning algorithms to construct a personalized vaccination model in conjunction with the user's health record and outputs the personalized intervention plan.

[0009] Preferably, the NLP module converts the user's language into text, performs sentiment analysis on the text using natural language processing technology, and obtains the user's vaccination intention based on the sentiment analysis results.

[0010] Preferably, the data acquisition and analysis module uses machine learning technology to analyze the user's vaccination information and generate a vaccination analysis report based on the analysis results.

[0011] Preferably, the real-time feedback module updates the personalized intervention plan based on the user's vaccination intention and the vaccination analysis report; Based on the updated personalized intervention plan, the real-time feedback module generates and pushes vaccination reminders to track vaccination progress and provides health education content on vaccination.

[0012] Preferably, the vaccination behavior intervention system further includes a human-computer interaction module and a multi-channel integration module; The human-computer interaction module is used to enable interaction between users and to share vaccination experiences; The multi-channel integration module enables the vaccination behavior intervention system to run on multiple platforms through a unified interface and protocol.

[0013] On the other hand, the present invention proposes a vaccination behavior intervention method, which is based on the above-mentioned vaccination behavior intervention system and includes the following steps: Configure system login permissions and encrypt user information; Stores users' basic information and health records; Develop personalized intervention plans based on the user's health records; Process user language, obtain user vaccination intentions, and provide dialogue interaction; Analyze the user's vaccination information to generate a vaccination analysis report; The personalized intervention plan is adjusted based on the vaccination intention and the vaccination analysis report, and the user is reminded of vaccination and the vaccination progress is tracked.

[0014] Preferably, the vaccination behavior intervention method further includes: Enables user interaction and sharing of vaccination experiences; The vaccination behavior intervention system can run on multiple platforms through a unified interface and protocol.

[0015] As can be seen from the above technical solutions, the present invention discloses a vaccination behavior intervention system and method, which has the following beneficial effects compared with the prior art: (1) This invention uses artificial intelligence algorithms to interact with users in natural language. It can not only answer users’ common questions about vaccines, but also provide customized vaccination suggestions and health guidance based on users’ personalized information (such as age, gender, health status, etc.).

[0016] (2) Based on machine learning models, by analyzing user behavior, emotions and cognition, we can determine the user's attitude towards vaccination and hesitation, and provide targeted intervention strategies.

[0017] (3) It can be widely used in hospitals, community health service centers, pharmacies and other places. By connecting with the vaccination appointment system, it can remind users to get vaccinated on time, provide precautions before and after vaccination, record vaccination information, and ensure the smooth progress of the vaccination process. In addition, it can also conduct online intervention and health education through social media platforms, health management APPs and other channels.

[0018] (4) It can collect user interaction data, analyze users’ vaccination attitudes and behavioral habits, provide real-time feedback data on vaccination status for public health departments, and assist in policy formulation and health management. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0020] Figure 1 The system architecture diagram provided for this invention. Detailed Implementation

[0021] 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.

[0022] On one hand, embodiments of the present invention propose a vaccination behavior intervention system, referring to Figure 1 The system includes: The security and privacy module is used to set system login permissions and encrypt user information; it introduces a multi-layer authentication mechanism to set login permissions and uses the AES encryption algorithm to encrypt and store sensitive data.

[0023] The user health record module is used to store users' basic information and health records, including name, age, vaccination history, allergy history, etc.

[0024] In this embodiment, a relational database or NoSQL database is used to store the user's personal information and health records, which facilitates quick retrieval and updates; it also ensures that the user information and health records are updated in real time to guarantee the accuracy and timeliness of the data.

[0025] Sensitive information involving personal privacy is protected through the security and privacy module.

[0026] The personalized behavior intervention module is used to develop personalized intervention plans based on users' health records; it uses machine learning algorithms to build a personalized vaccination model based on users' health records and outputs personalized intervention plans.

[0027] Specifically, by utilizing users' personal information and health record data, data analytics techniques are used to build personalized models to identify users' vaccination needs, health status, vaccination preferences, and response patterns. Develop a rules engine that provides users with personalized vaccination plans based on medical knowledge and vaccination guidelines; Adjust the vaccination schedule when a user's health condition changes or new medical records are added.

[0028] The NLP module is used to process user language, obtain user vaccination intentions, and provide interactive dialogue; it converts user language into text, performs sentiment analysis on the text using natural language processing technology, and obtains user vaccination intentions based on the sentiment analysis results.

[0029] Specifically, natural language processing technology is used to analyze and understand the user's text input in order to extract the user's intent, key information and emotional state; Entity recognition technology is used to extract key entities from user input, such as vaccine name and vaccination time. Introduce dialogue management technology to maintain the context of the dialogue and ensure its coherence and fluency; By using intent recognition technology, we can determine the user's specific needs, such as vaccination time reminders and answers to vaccine-related questions.

[0030] The data acquisition and analysis module is used to analyze users' vaccination information and generate vaccination analysis reports; it uses machine learning technology to analyze users' vaccination information and generate vaccination analysis reports based on the analysis results.

[0031] This module connects to the medical system or vaccination platform to obtain the user's vaccination data, such as vaccination time, vaccine type, and vaccination status. Data is exchanged with the vaccination system through an API interface to ensure the real-time nature and accuracy of the data; The collected vaccination data is cleaned and preprocessed to handle outliers, missing values, etc. Utilize efficient data analysis algorithms to ensure the timeliness and accuracy of vaccination data processing; Machine learning technology is used to analyze vaccination data, including vaccination pattern recognition, vaccine efficacy evaluation, and vaccination compliance analysis, to provide in-depth behavioral insights. Personalized analysis reports are generated based on the analysis results, including vaccination progress, vaccination behavior trends, and health status assessments.

[0032] The real-time feedback module is used to adjust personalized intervention plans based on vaccination intentions and vaccination analysis reports, and to remind users of vaccinations and track their vaccination progress.

[0033] The real-time feedback module is also connected to the personalized behavior intervention module, the NLP module, and the data collection and analysis module.

[0034] It connects to the data acquisition and analysis module to receive users' vaccination analysis reports; it connects to the NLP module to receive users' vaccination intentions; and it connects to the personalized behavioral intervention module to enable real-time feedback and adjustment of personalized intervention plans through vaccination intentions and vaccination analysis reports, ensuring that personalized intervention plans are dynamically updated according to users' health status and vaccination progress.

[0035] Specifically, the system assesses users' attitudes and hesitations regarding vaccination based on their intention to receive the vaccine, and provides targeted intervention strategies. For example, for users hesitant to get vaccinated, the robot can guide them through scientific data, expert advice, and success stories to boost their confidence; for users who have already been vaccinated but experience negative emotions, the robot provides psychological counseling to alleviate their fear or anxiety about the vaccine. The system also analyzes vaccination reports to determine if users meet the eligibility criteria, providing timely reminders and suggestions, and updating personalized intervention plans accordingly.

[0036] Based on the updated personalized intervention plan, the real-time feedback module generates and pushes vaccination reminders to track vaccination progress. These reminders include the vaccination time, location, and required vaccine type, and are followed up multiple times via SMS and push notifications. The system also dynamically updates the reminders based on the user's vaccination status to ensure no delays. Before vaccination, a reminder is automatically pushed, including the time and location. After vaccination, the module tracks the user's reaction and status to ensure timely completion of subsequent vaccinations. Based on user feedback, targeted health education content is provided, and emotional intervention is offered to users with concerns about vaccination, guiding them to correctly understand the importance of vaccination.

[0037] Preferably, the vaccination behavior intervention system also includes a human-computer interaction module and a multi-channel integration module; The human-computer interaction module provides interactive functions between users, such as group chat and vaccine sharing; It supports users in sharing their vaccination achievements and encouraging each other on social media platforms; Provide social incentives to encourage users to participate in vaccination and maintain continuous attention.

[0038] The multi-channel integration module ensures data interoperability and consistency between platforms through a unified interface and protocol, enabling the vaccination behavior intervention system to run smoothly on multiple platforms (such as mobile applications, web, social media, etc.).

[0039] On the other hand, the present invention proposes a vaccination behavior intervention method, which is based on the above-mentioned vaccination behavior intervention system and includes the following steps: Configure system login permissions and encrypt user information; Stores users' basic information and health records; Develop personalized intervention plans based on the user's health records; Process user language, obtain user vaccination intentions, and provide dialogue interaction; Analyze users' vaccination information and generate vaccination analysis reports; Personalized intervention plans are adjusted based on vaccination intentions and vaccination analysis reports, and users are reminded of vaccinations and their vaccination progress is tracked.

[0040] Preferably, vaccination behavior intervention methods also include: Enables user interaction and sharing of vaccination experiences; The vaccination behavior intervention system can run on multiple platforms through a unified interface and protocol.

[0041] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0042] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A vaccination behavior intervention system, characterized in that, Comprise: A security and privacy module for setting system login permissions and encrypting user information; A user health profile module for storing user's basic information and health profile; A personalized behavior intervention module for developing a personalized intervention plan based on the user's health profile; An NLP module for processing user language, obtaining user's vaccination intention, and providing dialogue interaction; A data collection and analysis module for analyzing the user's vaccination information and generating a vaccination analysis report; A real-time feedback module for adjusting the personalized intervention plan according to the vaccination intention and the vaccination analysis report, and reminding the user of vaccination and following up on the vaccination progress.

2. A vaccination behavior intervention system according to claim 1, characterized in that, The security and privacy module sets login permissions by introducing a multi-layer authentication mechanism and uses AES encryption algorithm to encrypt sensitive data for storage.

3. The system of claim 1, wherein, The personalized behavior intervention module uses machine learning algorithm to construct a personalized vaccination model based on the user's health profile and outputs the personalized intervention plan.

4. A vaccination behavior intervention system according to claim 3, characterized in that, The NLP module converts the user's language into text and uses natural language processing technology to perform sentiment analysis on the text, and obtains the user's vaccination intention according to the sentiment analysis result.

5. A vaccination behavior intervention system according to claim 4, characterized in that, The data collection and analysis module uses machine learning technology to analyze the user's vaccination information and generates a vaccination analysis report based on the analysis result.

6. A vaccination behavior intervention system according to claim 5, characterized in that, The real-time feedback module updates the personalized intervention plan according to the user's vaccination intention and the vaccination analysis report; Based on the updated personalized intervention plan, the real-time feedback module generates and pushes vaccination reminders, follows up on the vaccination progress, and provides vaccination health education content.

7. The system of claim 1, wherein, Also includes a human-computer interaction module and a multi-channel integration module; The human-computer interaction module is used to realize the interaction between users and share the vaccination experience; The multi-channel integration module makes the vaccination behavior intervention system run on multiple platforms through unified interface and protocol.

8. A method of intervention in vaccination behavior, characterized in that, Comprise the following steps: Set system login permissions and encrypt user information; Store user's basic information and health profile; Develop a personalized intervention plan based on the user's health profile; Process user language, obtain user's vaccination intention, and provide dialogue interaction; Analyze the user's vaccination information and generate a vaccination analysis report; Adjust the personalized intervention plan according to the vaccination intention and the vaccination analysis report, and remind the user of vaccination and follow up on the vaccination progress.

9. A method of behaviour intervention for vaccination according to claim 8, characterised in that, Also includes: Realize the interaction between users and share the vaccination experience; Make the vaccination behavior intervention system run on multiple platforms through unified interface and protocol.

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