Intelligent oral health management system

Abstract

The invention discloses an intelligent oral health management system, and relates to the technical field of oral health of old people. The system comprises a central processing module, the output end and the input end of the central processing module are both electrically connected with an AI non-contact inspection module, and the output end and the input end of the central processing module are both electrically connected with a digital physical examination report module. By means of the AI non-contact examination module, efficient, accurate and safe oral examination is achieved, the limitation of a traditional examination mode is effectively solved, the digital physical examination report module presents oral health data in a visual and multi-dimensional mode, the health condition is clear at a glance, a clear basis is provided for subsequent diagnosis and treatment and management, and the examination efficiency is improved. The grading diagnosis and treatment engine module and the four-stage prevention system module are matched with each other, and a set of scientific and complete oral health management process is formed from risk assessment to prevention and intervention to diagnosis and treatment arrangement and rehabilitation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of oral health of the elderly, in particular to a smart oral health management system. BACKGROUND

[0002] In the field of health management of the elderly, oral health management is an important part. With the acceleration of the aging process in China, the demand for oral health management of the elderly is growing. The traditional oral health management method mainly relies on manual inspection and diagnosis and treatment of offline medical institutions, which can provide oral health services for the elderly to a certain extent and meet the basic needs of oral disease diagnosis and treatment.

[0003] However, the existing oral health management method for the elderly has many shortcomings. On the one hand, the inspection method is limited and mostly requires face-to-face contact inspection, which not only has low efficiency but also may increase the risk of cross infection, especially in special periods, which is difficult to meet the demand. On the other hand, there is a lack of comprehensive and systematic management system. The health assessment is not accurate enough, and it is not possible to arrange graded diagnosis and treatment according to individual conditions. The professional level of nursing staff is uneven, and there is a lack of professional training system to improve their service quality. At the same time, the government lacks effective digital means to supervise the oral health management work, and it is difficult to grasp the overall situation in real time and make scientific decisions. In addition, oral health knowledge propaganda and medical resource scheduling are not intelligent and personalized enough, and it is difficult to fully meet the diversified needs of the elderly.

[0004] Therefore, we provide a smart oral health management system to solve the above problems. SUMMARY

[0005] The purpose of the present application is to provide a smart oral health management system, which solves the problems of limited oral examination method, low efficiency and high risk of cross infection, inaccurate health assessment and inability to scientifically grade diagnosis and treatment in the prior art by cooperating the AI non-contact examination module with the graded diagnosis and treatment engine module.

[0006] To solve the above technical problems, the present application is realized by the following technical scheme: The application is a wisdom oral health management system, comprising a central processing module, the output and input of the central processing module are both electrically connected with an AI non-contact examination module, the output and input of the central processing module are both electrically connected with a digital physical examination report module, the output and input of the central processing module are both electrically connected with a hierarchical diagnosis and treatment engine module, the output and input of the central processing module are both electrically connected with a nursing staff training system module, the output and input of the central processing module are both electrically connected with a four-level prevention system module, the output and input of the central processing module are both electrically connected with a government supervision cockpit module, the output and input of the central processing module are both electrically connected with an online learning platform module, the output and input of the central processing module are both electrically connected with a government cloud platform docking module, a comprehensive wisdom oral health management system framework is constructed with the central processing module as the core, through bidirectional connection with multiple function modules, organic integration of each link of oral health management is realized, covering examination, report generation, diagnosis and treatment, training, prevention, supervision, learning and resource scheduling and other aspects, providing one-stop, all-round oral health management services for the elderly, improving management efficiency and quality.

[0007] The application is further provided that the AI non-contact examination module comprises an image acquisition sub-module, an AI recognition sub-module and a model optimization sub-module, the image acquisition sub-module, the AI recognition sub-module and the model optimization sub-module are both bidirectionally electrically connected with the central processing module, the image acquisition sub-module is composed of an oral image acquisition terminal device and an image preprocessing tool, the AI recognition sub-module is composed of an AI deep learning model and a lesion feature extraction algorithm, the model optimization sub-module is composed of a federated learning framework and a model training evaluation tool, a comprehensive wisdom oral health management system framework is constructed with the central processing module as the core, through bidirectional connection with multiple function modules, organic integration of each link of oral health management is realized, covering examination, report generation, diagnosis and treatment, training, prevention, supervision, learning and resource scheduling and other aspects, providing one-stop, all-round oral health management services for the elderly, improving management efficiency and quality, the AI non-contact examination module realizes non-contact oral examination, reduces the risk of cross infection, improves examination efficiency, the image acquisition, AI recognition and model optimization sub-modules cooperate with each other, utilize advanced technical means to improve examination accuracy, and provide reliable basis for subsequent health management.

[0008] The application is further provided with the digital physical examination report module including a data processing submodule, a heat map generation submodule and a multidimensional analysis submodule, wherein the data processing submodule, the heat map generation submodule and the multidimensional analysis submodule are all bidirectionally electrically connected with the central processing module, the data processing submodule is composed of a data cleaning tool and a statistical analysis algorithm, the heat map generation submodule is composed of a geographic information system and a heat map drawing engine, and the multidimensional analysis submodule is composed of a data pivot table tool and a visual chart library.

[0009] The application is further provided with the hierarchical diagnosis and treatment engine module including a risk assessment submodule, a primary prevention intervention submodule, a secondary diagnosis and treatment arrangement submodule and a tertiary referral service submodule, wherein the risk assessment submodule, the primary prevention intervention submodule, the secondary diagnosis and treatment arrangement submodule and the tertiary referral service submodule are all bidirectionally electrically connected with the central processing module, the risk assessment submodule is composed of a risk scoring algorithm and a threshold value judgment rule library, the primary prevention intervention submodule is composed of a nursing package distribution management system and a short message / push notification interface, the secondary diagnosis and treatment arrangement submodule is composed of a health service center scheduling system and a reservation scheduling algorithm, and the tertiary referral service submodule is composed of a three-A hospital docking API and a medical insurance settlement interface.

[0010] The application is further provided with the nursing staff training system module including an online course learning submodule, an AI practical operation evaluation submodule and a qualification certification management submodule, wherein the online course learning submodule, the AI practical operation evaluation submodule and the qualification certification management submodule are all bidirectionally electrically connected with the central processing module, the online course learning submodule is composed of a course playing engine and a learning progress tracking tool, the AI practical operation evaluation submodule is composed of a motion capture device and an AI behavior analysis model, and the qualification certification management submodule is composed of a face verification API and an electronic certificate generation tool.

[0011] The application is further provided with the four-level prevention system module including a primary prevention propaganda submodule, a secondary prevention screening submodule, a tertiary prevention supervision submodule and a four-level prevention rehabilitation submodule, wherein the primary prevention propaganda submodule, the secondary prevention screening submodule, the tertiary prevention supervision submodule and the four-level prevention rehabilitation submodule are all bidirectionally electrically connected with the central processing module, the primary prevention propaganda submodule is composed of a video playing platform and a push notification system, the secondary prevention screening submodule is composed of a high-risk marking tool and a pre-warning reminding system, the tertiary prevention supervision submodule is composed of a diagnosis and treatment process monitoring interface and a quality evaluation tool, and the four-level prevention rehabilitation submodule is composed of a rehabilitation scheme generation algorithm and a scheme adjustment tool.

[0012] The application further provides that the government regulatory cockpit module comprises a data monitoring submodule, a visualization display submodule and a decision support submodule, the data monitoring submodule, the visualization display submodule and the decision support submodule are all bidirectionally electrically connected with the central processing module, the data monitoring submodule is composed of a data acquisition interface and a real-time data updating tool, the visualization display submodule is composed of a chart drawing library and a large screen display engine, and the decision support submodule is composed of a data analysis algorithm and a report generation tool.

[0013] The application further provides that the online learning platform module comprises a course resource management submodule, a user learning management submodule and an interactive communication submodule, the course resource management submodule, the user learning management submodule and the interactive communication submodule are all bidirectionally electrically connected with the central processing module, the course resource management submodule is composed of a course uploading and auditing tool and a version updating system, the user learning management submodule is composed of a learning plan making tool and a progress reminding system, and the interactive communication submodule is composed of a forum system and an online question and answer interface.

[0014] The application further provides that the government cloud platform interfacing module comprises a cloud deployment management submodule, a data intercommunication interface submodule and a security guarantee submodule, the cloud deployment management submodule, the data intercommunication interface submodule and the security guarantee submodule are all bidirectionally electrically connected with the central processing module, the cloud deployment management submodule is composed of a cloud server management tool and a fourth-grade equal protection compliance detection tool, the data intercommunication interface submodule is composed of an API interface development tool and a data format conversion tool, and the security guarantee submodule is composed of a national secret SM9 encryption algorithm library and a data desensitization tool.

[0015] The application further provides that the output end and the input end of the central processing module are both electrically connected with an oral health propaganda and popularization module, and the output end and the input end of the central processing module are both electrically connected with an oral medical resource scheduling module, the oral health propaganda and popularization module comprises a health knowledge pushing submodule, an offline activity organizing submodule and a personalized propaganda and popularization scheme submodule, and the oral medical resource scheduling module comprises a medical material management submodule, an expert resource deployment submodule and a service time reservation submodule.

[0016] The application has the following beneficial effects: The AI non-contact examination module realizes efficient, accurate and safe oral examination, effectively solves the limitations of traditional examination methods, the digital physical examination report module presents oral health data in an intuitive and multi-dimensional manner, so that the health status is clear at a glance, and provides a clear basis for subsequent diagnosis and management, the hierarchical diagnosis and treatment engine module and the four-grade prevention system module cooperate with each other from risk assessment to prevention intervention, to diagnosis and treatment arrangement and rehabilitation, forming a scientific and complete oral health management process.

[0017] The nursing staff training system module of the application improves the professionalism of nursing services, provides better nursing services for the elderly, the government supervision cockpit module enhances the government's supervision and decision-making ability for oral health management work, promotes the standardized development of the entire industry, the online learning platform module promotes the dissemination of oral health knowledge and improves the public's health awareness, and the government cloud platform docking module ensures the stable operation and data security of the system, facilitating cooperation with other systems. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the application, the drawings needed for the embodiment description will be briefly introduced as follows.

[0019] Figure 1 System of the wisdom oral health management system Figure One ; Figure 2 System diagram of the AI non-contact inspection module system in the wisdom oral health management system Figure 3 System diagram of the digital physical examination report module system in the wisdom oral health management system Figure 4 System diagram of the hierarchical diagnosis and treatment engine module system in the wisdom oral health management system Figure 5 System diagram of the nursing staff training system module in the wisdom oral health management system Figure 6 System diagram of the four-level prevention system module in the wisdom oral health management system Figure 7 System diagram of the government supervision cockpit module in the wisdom oral health management system Figure 8 System diagram of the online learning platform module in the wisdom oral health management system Figure 9 System diagram of the government cloud platform docking module in the wisdom oral health management system Figure 10 System of the wisdom oral health management system Figure Two .DETAILED DESCRIPTION The technical solutions of the embodiments of the application will be described below with reference to the drawings in the embodiments of the application. The described embodiments are only a part of the embodiments of the application, not all.

[0020] EMBODIMENT Please refer to

[0021] Figure 1The wisdom oral health management system comprises a central processing module, an AI non-contact examination module electrically connected to the output end and the input end of the central processing module, a digital physical examination report module electrically connected to the output end and the input end of the central processing module, a hierarchical diagnosis and treatment engine module electrically connected to the output end and the input end of the central processing module, a nursing staff training system module electrically connected to the output end and the input end of the central processing module, a four-level prevention system module electrically connected to the output end and the input end of the central processing module, a government supervision cockpit module electrically connected to the output end and the input end of the central processing module, an online learning platform module electrically connected to the output end and the input end of the central processing module, and a government cloud platform docking module electrically connected to the output end and the input end of the central processing module.

[0022] Specifically, a comprehensive wisdom oral health management system framework is constructed with the central processing module as the core, and through the bidirectional connection with multiple functional modules, the organic integration of each link of oral health management is realized, and multiple aspects such as examination, report generation, diagnosis and treatment, training, prevention, supervision, learning and resource scheduling are covered, so as to provide one-stop and all-round oral health management services for the old people and improve the management efficiency and quality. Embodiment

[0023] Please refer to Figures 2-10, the AI non-contact inspection module includes an image acquisition submodule, an AI identification submodule and a model optimization submodule, the image acquisition submodule, the AI identification submodule and the model optimization submodule are all bidirectionally electrically connected with the central processing module, the image acquisition submodule is composed of an oral image acquisition terminal device and an image preprocessing tool, the AI identification submodule is composed of an AI deep learning model and a lesion feature extraction algorithm, the model optimization submodule is composed of a federal learning framework and a model training evaluation tool, the digital physical examination report module includes a data processing submodule, a heat map generation submodule and a multidimensional analysis submodule, the data processing submodule, the heat map generation submodule and the multidimensional analysis submodule are all bidirectionally electrically connected with the central processing module, the data processing submodule is composed of a data cleaning tool and a statistical analysis algorithm, the heat map generation submodule is composed of a geographic information system and a heat map drawing engine, the multidimensional analysis submodule is composed of a data pivot table tool and a visual chart library, the hierarchical diagnosis and treatment engine module includes a risk assessment submodule, a primary prevention intervention submodule, a secondary diagnosis and treatment arrangement submodule and a tertiary referral service submodule, the risk assessment submodule, the primary prevention intervention submodule, the secondary diagnosis and treatment arrangement submodule and the tertiary referral service submodule are all bidirectionally electrically connected with the central processing module, the risk assessment submodule is composed of a risk scoring algorithm and a threshold value judgment rule library, the primary prevention intervention submodule is composed of a nursing package distribution management system and a short message / push notification interface, the secondary diagnosis and treatment arrangement submodule is composed of a health service center scheduling system and a reservation scheduling algorithm, the tertiary referral service submodule is composed of a three-A hospital docking API and a medical insurance settlement interface, the nursing staff training system module includes an online course learning submodule, an AI operation evaluation submodule and a qualification certification management submodule, the online course learning submodule, the AI operation evaluation submodule and the qualification certification management submodule are all bidirectionally electrically connected with the central processing module, the online course learning submodule is composed of a course playing engine and a learning progress tracking tool, the AI operation evaluation submodule is composed of a motion capture device and an AI behavior analysis model, the qualification certification management submodule is composed of a face verification API and an electronic certificate generation tool, the four-stage prevention system module includes a primary prevention propaganda submodule, a secondary prevention screening submodule, a tertiary prevention supervision submodule and a four-stage prevention rehabilitation submodule, the primary prevention propaganda submodule, the secondary prevention screening submodule, the tertiary prevention supervision submodule and the four-stage prevention rehabilitation submodule are all bidirectionally electrically connected with the central processing module, the primary prevention propaganda submodule is composed of a video playing platform and a push notification system, the secondary prevention screening submodule is composed of a high-risk marking tool and a prewarning reminding system, the tertiary prevention supervision submodule is composed of a diagnosis and treatment process monitoring interface and a quality evaluation tool, the four-stage prevention rehabilitation submodule is composed of a rehabilitation scheme generation algorithm and a scheme adjustment tool, the government supervision cockpit module includes a data monitoring submodule, a visual display submodule and a decision support submodule, the data monitoring submodule, the visual display submodule and the decision support submodule are all bidirectionally electrically connected with the central processing module,The data monitoring submodule is composed of a data acquisition interface and a real-time data updating tool, the visualization display submodule is composed of a chart drawing library and a large screen display engine, the decision support submodule is composed of a data analysis algorithm and a report generation tool, the online learning platform module includes a course resource management submodule, a user learning management submodule and an interactive communication submodule, the course resource management submodule, the user learning management submodule and the interactive communication submodule are both bidirectionally electrically connected with the central processing module, the course resource management submodule is composed of a course uploading and auditing tool and a version updating system, the user learning management submodule is composed of a learning plan making tool and a progress reminding system, the interactive communication submodule is composed of a forum system and an online question and answer interface, the government cloud platform interfacing module includes a cloud deployment management submodule, a data intercommunication interface submodule and a security guarantee submodule, the cloud deployment management submodule, the data intercommunication interface submodule and the security guarantee submodule are both bidirectionally electrically connected with the central processing module, the cloud deployment management submodule is composed of a cloud server management tool and a fourth-grade equal protection compliance detection tool, the data intercommunication interface submodule is composed of an API interface development tool and a data format conversion tool, the security guarantee submodule is composed of a national secret SM9 encryption algorithm library and a data desensitization tool, the output end and the input end of the central processing module are both electrically connected with the oral health propaganda and popularization module, the output end and the input end of the central processing module are both electrically connected with the oral medical resource scheduling module, the oral health propaganda and popularization module includes a health knowledge pushing submodule, an offline activity organizing submodule and a personalized propaganda and popularization scheme submodule, and the oral medical resource scheduling module includes a medical material management submodule, an expert resource deployment submodule and a service time reservation submodule.

[0024] Specifically, a comprehensive intelligent oral health management system framework is constructed with a central processing module as the core. Through bidirectional connection with multiple functional modules, the organic integration of various aspects of oral health management is achieved, covering examination, report generation, diagnosis and treatment, training, prevention, supervision, learning, and resource scheduling, etc. It provides one-stop, all-round oral health management services for the elderly, improves management efficiency and quality, and the AI non-contact examination module realizes non-contact oral examination, reduces the risk of cross infection, improves examination efficiency, and the image acquisition, AI identification and model optimization sub-modules cooperate with each other to improve the accuracy of examination by using advanced technical means, and provide reliable basis for subsequent health management. The digital physical examination report module can process and analyze oral health data in multiple dimensions, and present in the form of intuitive heat map and multi-dimensional analysis report, which is convenient for doctors, patients and relevant management personnel to fully understand the oral health status, and provides strong support for accurate diagnosis and treatment and decision-making. The grading diagnosis engine module provides targeted prevention intervention, diagnosis and treatment arrangement and referral services according to the risk assessment results, realizes personalized and scientific grading diagnosis, reasonably allocates medical resources, improves diagnosis and treatment effect, and meets the oral health needs of the elderly with different risk levels. The nursing staff training system module provides comprehensive and professional training for nursing staff through online course learning, AI practical operation evaluation and qualification certification management, improves the professional level and service quality of nursing staff, so as to better serve the elderly population. The four-level prevention system module constructs a complete oral health prevention system from education, screening, supervision to rehabilitation, takes corresponding measures at different stages, and provides all-round protection for the oral health of the elderly, improves the prevention effect. The government supervision cockpit module provides real-time data monitoring, visual display and decision support for the government, so that the government can timely and comprehensively understand the oral health management work, make scientific decisions, and strengthen the supervision of the oral health management work of the elderly. The online learning platform module provides rich course resource management, user learning management and interactive communication functions, which is convenient for the elderly and relevant personnel to learn oral health knowledge, promotes knowledge dissemination and exchange, improves the public's awareness of oral health, and the government cloud platform connection module realizes cloud deployment management, data interconnection and security protection of the system, ensures the stable operation of the system, and the data is safe and reliable. It is convenient to connect with other government systems to realize data sharing and collaborative work. The oral health education promotion module and the oral medical resource scheduling module respectively start from the aspects of health knowledge propaganda and medical resource allocation, provide personalized education programs and reasonable resource scheduling, meet the diversified oral health needs of the elderly, and improve the service experience. Embodiment

[0025] The image acquisition sub-module uses the oral image acquisition terminal device to obtain oral images and performs preliminary processing through image preprocessing tools. The AI recognition sub-module uses AI deep learning models and lesion feature extraction algorithms to analyze and recognize the processed images. The model optimization sub-module continuously optimizes the AI recognition model with the help of the federated learning framework and model training evaluation tools, thereby realizing accurate non-contact oral examination and feeding back the results to the central processing module.

[0026] The data processing sub-module processes oral health-related data using data cleaning tools and statistical analysis algorithms. The heat map generation sub-module generates an oral health condition heat map using a geographic information system and a heat map drawing engine. The multidimensional analysis sub-module performs multidimensional data analysis through pivot table tools and a visualization chart library. Finally, the results of the processed analysis are fed back to the central processing module in the form of a digital physical examination report.

[0027] The risk assessment sub-module assesses the oral health risks of the elderly population based on risk scoring algorithms and threshold judgment rule libraries. The primary prevention intervention sub-module performs primary prevention intervention through a care package distribution management system and an SMS / push notification interface. The secondary diagnosis and treatment arrangement sub-module arranges secondary diagnosis and treatment with the help of a health service center scheduling system and a reservation scheduling algorithm. The tertiary referral service sub-module provides tertiary referral services using a tertiary hospital API and a medical insurance settlement interface, and interacts with the central processing module at each stage.

[0028] The online course learning sub-module provides online course learning services through a course playing engine and a learning progress tracking tool. The AI practical operation evaluation sub-module uses motion capture devices and AI behavior analysis models to evaluate the practical operation of nursing staff. The qualification certification management sub-module manages qualifications through a face verification API and an electronic certificate generation tool, and training-related information is shared with the central processing module.

[0029] The primary prevention propaganda and education sub-module uses a video playing platform and a push notification system to promote oral health knowledge. The secondary prevention screening sub-module screens high-risk groups through a high-risk marking tool and an early warning reminder system. The tertiary prevention supervision sub-module supervises the tertiary prevention diagnosis and treatment process with the help of a diagnosis and treatment process monitoring interface and a quality evaluation tool. The fourth prevention rehabilitation sub-module uses rehabilitation program generation algorithms and program adjustment tools to develop and adjust rehabilitation programs, and each sub-module interacts with the central processing module.

[0030] The data monitoring sub-module obtains and updates oral health management-related data through a data acquisition interface and a real-time data updating tool. The visualization display sub-module visualizes the data using a chart drawing library and a large screen display engine. The decision support sub-module uses data analysis algorithms and report generation tools to support government decision-making, and the data is shared with the central processing module.

[0031] The course resource management submodule manages course resources through a course upload review tool and a version update system. The user learning management submodule manages user learning using a learning plan development tool and a progress reminder system. The interactive communication submodule enables user interactive communication through a forum system and an online question and answer interface, and the module information is transmitted to the central processing module.

[0032] The cloud deployment management submodule manages cloud deployment using a cloud server management tool and a fourth-level information security compliance detection tool. The data intercommunication interface submodule realizes data intercommunication through an API interface development tool and a data format conversion tool. The security guarantee submodule uses a national secret SM9 encryption algorithm library and a data desensitization tool to guarantee data security and interact with the central processing module.

[0033] The health knowledge pushing submodule is responsible for pushing oral health knowledge. The offline activity organization submodule organizes offline oral health activities. The individualized propaganda and education plan submodule develops propaganda and education plans according to individual conditions and interacts with the central processing module. The medical material management submodule manages oral medical materials. The expert resource allocation submodule allocates expert resources. The service time reservation submodule provides users with service time reservation, and interacts with the central processing module to realize reasonable resource scheduling.

[0034] The preferred embodiments of the application disclosed above are only used to help explain the application, and the preferred embodiments do not describe all the details and do not limit the application to the specific embodiments described. The present specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the application, so that those skilled in the art can well understand and utilize the application.

Claims

1. The intelligent oral health management system includes a central processing module, characterized by: The output and input ends of the central processing module are electrically connected to the AI ​​contactless inspection module, the output and input ends of the central processing module are electrically connected to the digital physical examination report module, the output and input ends of the central processing module are electrically connected to the graded diagnosis and treatment engine module, the output and input ends of the central processing module are electrically connected to the nurse training system module, the output and input ends of the central processing module are electrically connected to the four-level prevention system module, the output and input ends of the central processing module are electrically connected to the government supervision cockpit module, the output and input ends of the central processing module are electrically connected to the online learning platform module, and the output and input ends of the central processing module are electrically connected to the government cloud platform docking module.

2. The smart oral health management system according to claim 1, characterized in that: The AI ​​contactless inspection module includes an image acquisition submodule, an AI recognition submodule and a model optimization submodule. The image acquisition submodule, AI recognition submodule and model optimization submodule are all bidirectionally electrically connected to the central processing module. The image acquisition submodule is composed of an oral image acquisition terminal device and an image preprocessing tool. The AI ​​recognition submodule is composed of an AI deep learning model and a lesion feature extraction algorithm. The model optimization submodule is composed of a federated learning framework and a model training evaluation tool.

3. The smart oral health management system according to claim 1, characterized in that: The digital physical examination report module includes a data processing submodule, a heat map generation submodule and a multidimensional analysis submodule. The data processing submodule, the heat map generation submodule and the multidimensional analysis submodule are all bidirectionally electrically connected to the central processing module. The data processing submodule is composed of data cleaning tools and statistical analysis algorithms, the heat map generation submodule is composed of a geographic information system and a heat map drawing engine, and the multidimensional analysis submodule is composed of a pivot table tool and a visual chart library.

4. The smart oral health management system according to claim 1, characterized in that: The hierarchical diagnosis and treatment engine module includes a risk assessment submodule, a primary prevention and intervention submodule, a secondary diagnosis and treatment arrangement submodule and a tertiary referral service submodule. The risk assessment submodule, the primary prevention and intervention submodule, the secondary diagnosis and treatment arrangement submodule and the tertiary referral service submodule are all bidirectionally electrically connected to the central processing module. The risk assessment submodule is composed of a risk scoring algorithm and a threshold judgment rule library. The primary prevention and intervention submodule is composed of a nursing package distribution management system and an SMS / push notification interface. The secondary diagnosis and treatment arrangement submodule is composed of a health service center scheduling system and an appointment scheduling algorithm. The tertiary referral service submodule is composed of a tertiary hospital docking API and a medical insurance settlement interface.

5. The smart oral health management system according to claim 1, characterized in that: The caregiver training system module includes an online course learning submodule, an AI practical evaluation submodule and a qualification certification management submodule. The online course learning submodule, the AI ​​practical evaluation submodule and the qualification certification management submodule are all bidirectionally electrically connected to the central processing module. The online course learning submodule is composed of a course playback engine and a learning progress tracking tool, the AI ​​practical evaluation submodule is composed of a motion capture device and an AI behavior analysis model, and the qualification certification management submodule is composed of a face verification API and an electronic certificate generation tool.

6. The smart oral health management system according to claim 1, characterized in that: The four-level prevention system module includes a primary prevention and education sub-module, a secondary prevention screening sub-module, a tertiary prevention supervision sub-module and a quaternary prevention and rehabilitation sub-module. The primary prevention and education sub-module, the secondary prevention screening sub-module, the tertiary prevention supervision sub-module and the quaternary prevention and rehabilitation sub-module are all bidirectionally electrically connected to the central processing module. The primary prevention and education sub-module is composed of a video playback platform and a push notification system, the secondary prevention screening sub-module is composed of a high-risk marking tool and an early warning reminder system, the tertiary prevention supervision sub-module is composed of a diagnosis and treatment process monitoring interface and a quality assessment tool, and the quaternary prevention and rehabilitation sub-module is composed of a rehabilitation program generation algorithm and a program adjustment tool.

7. The smart oral health management system according to claim 1, characterized in that: The government regulatory cockpit module includes a data monitoring submodule, a visualization display submodule and a decision support submodule. The data monitoring submodule, the visualization display submodule and the decision support submodule are all bidirectionally electrically connected to the central processing module. The data monitoring submodule is composed of a data acquisition interface and a real-time data update tool. The visualization display submodule is composed of a chart drawing library and a large-screen display engine. The decision support submodule is composed of a data analysis algorithm and a report generation tool.

8. The smart oral health management system according to claim 1, characterized in that: The online learning platform module includes a course resource management submodule, a user learning management submodule and an interactive communication submodule. The course resource management submodule, the user learning management submodule and the interactive communication submodule are all bidirectionally electrically connected to the central processing module. The course resource management submodule is composed of a course upload review tool and a version update system, the user learning management submodule is composed of a learning plan formulation tool and a progress reminder system, and the interactive communication submodule is composed of a forum system and an online question and answer interface.

9. The smart oral health management system according to claim 1, characterized in that: The government cloud platform docking module includes a cloud deployment management sub-module, a data intercommunication interface sub-module and a security assurance sub-module. The cloud deployment management sub-module, the data intercommunication interface sub-module and the security assurance sub-module are all bidirectionally electrically connected to the central processing module. The cloud deployment management sub-module is composed of a cloud server management tool and a Level 4 security compliance detection tool. The data intercommunication interface sub-module is composed of an API interface development tool and a data format conversion tool. The security assurance sub-module is composed of a national secret SM9 encryption algorithm library and a data desensitizing tool.

10. The smart oral health management system according to claim 1, characterized in that: The output and input ends of the central processing module are electrically connected to the oral health education and promotion module, and the output and input ends of the central processing module are electrically connected to the oral medical resource scheduling module. The oral health education and promotion module includes a health knowledge push submodule, an offline activity organization submodule and a personalized education plan submodule. The oral medical resource scheduling module includes a medical supplies management submodule, an expert resource allocation submodule and a service time reservation submodule.

Images