Health consultation system

Abstract

The invention relates to the technical field of health consultation services, and discloses a health consultation system which comprises a consultation data module, a health analysis module and an evaluation service module. According to the health consultation system, a self-service data set, a voice data set, an artificial data set and a reference data set are collected through a consultation data module, a historical data unit calculates and generates a user health data set # imgabs0 # and judges user attributes, fragmented information is integrated to extract key information, the humanized consultation service interactivity is high, and the user experience is improved. The health analysis module calculates and generates a health risk index # imgabs1 #, a disease risk index # imgabs2 # and a comprehensive state index # imgabs3 #, after different factors of the user are focused on health analysis and disease analysis, the overall health state of the patient is systematically evaluated, and the evaluation service module judges and generates a corresponding prevention scheme or treatment scheme. Personalized schemes are highly targeted, and suggestions are more professional and reliable.

Description

Technical Field

[0001] The present invention relates to the technical field of health consultation services, and in particular to a health consultation system. Background Art

[0002] With the improvement of people's health awareness and the diversification of medical needs in modern society, health consulting services have become an indispensable part. Health consulting services are a professional service that provides comprehensive health management and medical information. The service content needs to meet the health needs of multiple stages such as disease prevention, treatment support and lifestyle improvement, which is of great significance to improving the public's health level and quality of life. The core of health consulting services is to provide professional health information and advice to individuals or groups. The content of health consulting services includes personalized health assessment, disease prevention strategies, treatment plan recommendations, lifestyle guidance, mental health support, chronic disease management, health information resources and other aspects. Personalized health assessment requires a comprehensive assessment of the individual's health status through detailed health questionnaires, physical examination data and personal medical history information, and systematic analysis of individual health status to identify potential health risk factors and propose professional disease prevention strategies such as vaccination, regular screening, health education, etc., to reduce the risk of disease. For diagnosed diseases, the health consulting system needs to provide patients with professional and reliable treatment plan recommendations based on the latest medical research and treatment methods, and provide lifestyle guidance, mental health support, chronic disease management and health information resources during the treatment process and after the disease is cured. Comprehensive mental health strategies guide users to develop healthy eating, proper exercise and regular rest habits, plan long-term disease monitoring and management plans, help patients control their disease and reduce the occurrence of complications, and provide individuals with reliable health information resources, including books, websites, seminars, etc., so that users can obtain more abundant health knowledge.

[0003] At present, the service methods of traditional health consultation systems for the elderly or disabled are not humane enough, the operation is complicated and the overall service efficiency is low. In addition, in actual use, the feedback method of consultation results is usually one-way and one-time, lacking interactivity and personalization mechanisms, resulting in the overall solution recommendations being not professional and reliable enough and not very applicable. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the shortcomings of the existing technology, the present invention provides a health consultation system, which has the advantages of humanized consultation service with strong interactivity, personalized solution suggestions with strong pertinence, and more professional and reliable. It solves the problems that the traditional health consultation system service mode is not humanized enough, the service quality lacks interactivity and personalization, and the overall solution suggestions are not professional and reliable enough and have low applicability.

[0005] (II) Technical solution To achieve the above-mentioned object, the present invention provides the following technical solutions: a health consultation system, comprising a consultation data module, a health analysis module and an evaluation service module; The consultation data module includes a self-service unit, an intelligent voice unit, a manual service unit and a historical data unit. The self-service unit collects a self-service data set through a network connection to a user terminal, and transmits it to the historical data unit after numbering. The intelligent voice unit collects a voice data set through a network connection to an intelligent voice device, and transmits it to the historical data unit after numbering. The manual service unit collects a manual data set through a network connection to a customer service platform, and transmits it to the historical data unit after numbering. The historical data unit collects a reference data set through a network connection to a database and numbers it. The historical data unit calculates and generates a user health data set based on the self-service data set, voice data set, manual data set and reference data set. And determine the corresponding user attributes, the consulting data module is connected to the health analysis module through the network; The health analysis module includes a health analysis unit, a disease analysis unit and a comprehensive analysis unit. The health analysis unit analyzes the health data of the user according to the health data set. and reference data sets to calculate the health risk index and transmitted to the comprehensive analysis unit through the network, and the disease analysis unit analyzes the disease according to the user's health data set and reference data sets to calculate the disease risk index , and transmitted to the comprehensive analysis unit through the network, and the comprehensive analysis unit analyzes the health risk index according to the and disease risk index , calculate and generate the comprehensive state index , the health analysis module is connected to the evaluation service module via a network; The evaluation service module includes a disease prevention unit and a disease treatment unit. The evaluation service module is based on the health risk index. and evaluation data set Determine and generate the corresponding evaluation plan, and transmit it to the user end, intelligent voice device and customer service platform through the network.

[0006] Preferably, the self-service unit numbers the data uploaded by the user according to the characteristics of the self-service data set, and the self-service data set number is , , ,... The intelligent voice unit numbers the data obtained by the voice interaction service user according to the characteristics of the voice data set, and the voice data set number is , , ,... The manual service unit numbers the data acquired by the manual service user according to the characteristics of the manual data set, and the manual data set number is , , ,... .

[0007] Preferably, the reference data set is composed of a reference user account data set, a reference health standard data set and a reference disease standard data set, and the historical data unit is numbered according to the characteristics of the reference data set, and the reference data set number is , and .

[0008] Preferably, the historical data unit calculates and generates the user health data set based on the self-service data set, the voice data set, the manual data set and the reference data set. , and its calculation formula is as follows: In the formula, represents the user health data group, It indicates the account password, health questionnaire, physical examination data and personal medical history data uploaded by the user through the client. It refers to the user account password, health data, physical examination data and personal medical history data obtained by the intelligent voice device through voice interaction. It indicates the user account password, health data, physical examination data and personal medical history data obtained by the customer service platform through manual service. It means integrating user health data collected through three methods: user self-upload, voice interaction and manual service.

[0009] Preferably, the user health data set The account and password data are not included in the reference user account dataset When the historical data unit determines that the user attribute is a newly registered user, the user health data group The account and password data are included in the reference user account dataset When the historical data unit determines that the user attribute is an old user.

[0010] Preferably, the health analysis unit is based on the user health data set and reference data sets to calculate the health risk index , and its calculation formula is as follows: In the formula, represents the health risk index, Indicates the reference standard for measuring the user's health status. Represents the ratio of all health data, physical examination data, and personal medical history data from 1 to n in the user's health data group to the reference health standard data set.

[0011] Preferably, the disease analysis unit is based on the user health data set and reference data sets to calculate the disease risk index , and its calculation formula is as follows: In the formula, represents the disease risk index, Represents the weight index for the difference between the user's health data set and the reference disease standard data set, represents the weight index for the user's health data group, It represents the average health data obtained by fusing the user health data set with the difference between the user health data set and the reference disease standard data set under different weights. It means analyzing the user's average health data using all types of disease data from 1 to n in the reference disease standard data set as the measurement standard.

[0012] Preferably, the comprehensive analysis unit is based on the health risk index and disease risk index , calculate and generate the comprehensive state index , and its calculation formula is as follows: In the formula, represents the comprehensive status index, represents the weight index for the health risk index, represents the weight index for the disease risk index, It represents the average status index obtained by fusing the user health risk index with the user health data set and the disease risk index under different weights.

[0013] Preferably, the health risk index and disease risk index When the values ​​are all less than 1, the disease prevention unit generates a corresponding prevention plan. When the user attribute is a newly registered user, the prevention plan includes the health risk index , disease risk index , Comprehensive Status Index and prevention suggestions. When the user attribute is an old user, the prevention plan includes a health risk index , disease risk index , Comprehensive Status Index , historical data, differences between old and new data and prevention recommendations.

[0014] Preferably, the health risk index and disease risk index When any value in is greater than or equal to 1, the disease treatment unit generates a corresponding treatment plan. When the user attribute is a newly registered user, the treatment plan includes the health risk index , disease risk index , Comprehensive Status Index and treatment suggestions. When the user attribute is an old user, the treatment plan includes a health risk index , disease risk index , Comprehensive Status Index , historical data, differences between old and new data, and treatment recommendations.

[0015] Compared with the prior art, the present invention provides a health consultation system with the following beneficial effects: 1. The present invention sets up a self-service unit, an intelligent voice unit, a manual service unit and a historical data unit through a consultation data module, collects self-service data sets, voice data sets, manual data sets and reference data sets, and the historical data unit calculates and generates a user health data set. And determine the corresponding user attributes, integrate the fragmented information to extract key information, and group the user health data The account and password data are not included in the reference user account dataset When the historical data unit determines that the user attribute is a newly registered user, the user data group Save to the database for subsequent service follow-up, user health data group The account and password data are included in the reference user account dataset When the user attributes are judged by the historical data unit as an old user, the attribute classification is conducive to the subsequent comparison of historical evaluation data for targeted services. The humanized consulting service is highly interactive, easy to operate and has a better user experience.

[0016] 2. The present invention sets up a health analysis unit, a disease analysis unit and a comprehensive analysis unit through a health analysis module to calculate and generate a health risk index , disease risk index and comprehensive status index , focusing on health analysis and disease analysis of different factors of users, systematically evaluates the patient's overall health status, and sets up disease prevention unit and disease treatment unit in the evaluation service module. The disease prevention unit determines and generates corresponding prevention plans, and the disease treatment unit determines and generates corresponding treatment plans, which are transmitted to the user end, intelligent voice device and customer service platform through the network. The two-way interactive communication method is more suitable for the elderly or disabled people, and personalized plans are generated for new registered users and old customers. The suggestions are highly targeted and more professional and reliable. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 Schematic diagram of the system of the present invention. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. See also Figure 1 , a health consultation system, including a consultation data module, a health analysis module and an evaluation service module; The consulting data module includes a self-service unit, an intelligent voice unit, a manual service unit, and a historical data unit. The self-service unit collects self-service data sets through a network connection with the user end, numbers the data uploaded by the user, and transmits it to the historical data unit. The self-service data set number is , , ,... The numbers correspond to the account password, health questionnaire, physical examination data and personal medical history data uploaded by the user. The intelligent voice unit collects the voice data set through the network connection intelligent voice device, and the data obtained by the voice interaction service user is numbered and transmitted to the historical data unit. The voice data set number is , , ,... The numbers correspond to the user account password, health data, physical examination data and personal medical history data obtained by the intelligent voice device through voice interaction. The manual service unit collects the manual data set through the network connection customer service platform, and the data obtained by the manual service user is numbered and transmitted to the historical data unit. The manual data set number is , , ,... The numbers correspond to the user account password, health data, physical examination data and personal medical history data obtained by the customer service platform through manual service. The historical data unit collects the reference data set through the network connection database and numbers it. The reference data set consists of the reference user account data set, the reference health standard data set and the reference disease standard data set. The reference data set number is , and The historical data unit calculates and generates the user health data set based on the self-service data set, voice data set, manual data set and reference data set. And determine the corresponding user attributes, the consultation data module connects to the health analysis module through the network, and its calculation formula is as follows: In the formula, represents the user health data group, It indicates the account password, health questionnaire, physical examination data and personal medical history data uploaded by the user through the client. It refers to the user account password, health data, physical examination data and personal medical history data obtained by the intelligent voice device through voice interaction. It indicates the user account password, health data, physical examination data and personal medical history data obtained by the customer service platform through manual service. It means integrating the user health data collected through three methods: user self-upload, voice interaction and manual service, and , integrating fragmented information to extract key information, facilitating subsequent accurate assessment of the user's health status, while providing highly interactive, easy-to-operate, and better user experience; User health data set The account and password data are not included in the reference user account dataset When the historical data unit determines that the user attribute is a newly registered user, the user data group Save to the database for subsequent service follow-up, user health data group The account and password data are included in the reference user account dataset When the historical data unit determines that the user attribute is an old user, the attribute classification is conducive to the subsequent comparison of historical evaluation data for targeted services; The health analysis module includes a health analysis unit, a disease analysis unit and a comprehensive analysis unit. The health analysis unit and reference data sets to calculate the health risk index , and transmitted to the comprehensive analysis unit through the network. The calculation formula is as follows: In the formula, represents the health risk index, Indicates the reference standard for measuring the user's health status. Represents the ratio of all health data, physical examination data, and personal medical history data from 1 to n in the user's health data group to the reference health standard data set, according to the health risk index , focusing on the user's personal lifestyle, genetic factors and environmental factors for health analysis, providing more comprehensive health assessment and suggestions. For example, obesity, high-frequency smoking and high-frequency drinking can easily lead to health problems, thus high health risk index; The disease analysis unit is based on the user's health data set and reference data sets to calculate the disease risk index , and transmitted to the comprehensive analysis unit through the network. The calculation formula is as follows: In the formula, represents the disease risk index, Represents the weight index for the difference between the user's health data set and the reference disease standard data set, represents the weight index for the user's health data group, It represents the average health data obtained by fusing the user health data set with the difference between the user health data set and the reference disease standard data set under different weights. It means to analyze the average health data of users based on the disease risk index according to the disease standard data set from 1 to n. , focusing on the user's personal medical history and family diseases to analyze diseases, providing more comprehensive health assessments and suggestions. For example, if there are many patients with cardiovascular and cerebrovascular diseases in the family, the user is more likely to suffer from cardiovascular diseases, thus having a high disease risk index; Comprehensive analysis unit based on health risk index and disease risk index , calculate and generate the comprehensive state index , the health analysis module connects to the evaluation service module through the network, and its calculation formula is as follows: In the formula, represents the comprehensive status index, represents the weight index for the health risk index, represents the weight index for the disease risk index, It represents the average status index obtained by fusing the user health risk index with the user health data group and the disease risk index under different weights. , systematically evaluate the patient's overall health status, and the follow-up evaluation service is more professional and reliable; The assessment service module includes a disease prevention unit and a disease treatment unit. The assessment service module is based on the health risk index. and evaluation data set Judge and generate the corresponding evaluation plan, and transmit it to the user end, intelligent voice device and customer service platform through the network. The two-way interactive communication method is more suitable for the elderly or disabled people. and disease risk index When the values ​​are all less than 1, the disease prevention unit generates a prevention plan. When the user attribute is a newly registered user, the prevention plan includes the health risk index. , disease risk index , Comprehensive Status Index and prevention suggestions. When the user attribute is an old user, the prevention plan includes the health risk index , disease risk index , Comprehensive Status Index , historical data, difference between old and new data and prevention suggestions, health risk index and disease risk index When any value in is greater than or equal to 1, the disease treatment unit generates a treatment plan. When the user attribute is a newly registered user, the treatment plan includes the health risk index , disease risk index , Comprehensive Status Index and treatment suggestions. When the user attribute is an old user, the treatment plan includes the health risk index , disease risk index , Comprehensive Status Index , historical data, differences between old and new data and treatment suggestions. The personalized plans are highly targeted and the suggestions are more professional and reliable.

[0019] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A health consultation system, characterized in that: It includes consulting data module, health analysis module and assessment service module; The consultation data module includes a self-service unit, an intelligent voice unit, a manual service unit and a historical data unit. The self-service unit collects a self-service data set through a network connection to a user terminal, and transmits it to the historical data unit after numbering. The intelligent voice unit collects a voice data set through a network connection to an intelligent voice device, and transmits it to the historical data unit after numbering. The manual service unit collects a manual data set through a network connection to a customer service platform, and transmits it to the historical data unit after numbering. The historical data unit collects a reference data set through a network connection to a database and numbers it. The historical data unit calculates and generates a user health data set based on the self-service data set, voice data set, manual data set and reference data set. And determine the corresponding user attributes, the consulting data module is connected to the health analysis module through the network; The health analysis module includes a health analysis unit, a disease analysis unit and a comprehensive analysis unit. The health analysis unit analyzes the health data of the user according to the health data set. and reference data sets to calculate the health risk index and transmitted to the comprehensive analysis unit through the network, and the disease analysis unit analyzes the disease according to the user's health data set and reference data sets to calculate the disease risk index , and transmitted to the comprehensive analysis unit through the network, and the comprehensive analysis unit analyzes the health risk index according to the health risk index. and disease risk index , calculate and generate the comprehensive state index , the health analysis module is connected to the evaluation service module via a network; The evaluation service module includes a disease prevention unit and a disease treatment unit. The evaluation service module is based on the health risk index. and evaluation data set Determine and generate the corresponding evaluation plan, and transmit it to the user end, intelligent voice device and customer service platform through the network.

2. A health consultation system according to claim 1, characterized in that: The self-service unit numbers the data uploaded by the user according to the characteristics of the self-service data set. The self-service data set number is , , ,... The intelligent voice unit numbers the data obtained by the voice interaction service user according to the characteristics of the voice data set, and the voice data set number is , , ,... The manual service unit numbers the data acquired by the manual service user according to the characteristics of the manual data set, and the manual data set number is , , ,... .

3. A health consultation system according to claim 2, characterized in that: The reference data set is composed of a reference user account data set, a reference health standard data set and a reference disease standard data set. The historical data unit is numbered according to the characteristics of the reference data set. The reference data set number is , and .

4. A health consultation system according to claim 3, characterized in that: The historical data unit calculates and generates a user health data set based on the self-service data set, the voice data set, the manual data set and the reference data set. , and its calculation formula is as follows: In the formula, represents the user health data group, It indicates the account password, health questionnaire, physical examination data and personal medical history data uploaded by the user through the client. It refers to the user account password, health data, physical examination data and personal medical history data obtained by the intelligent voice device through voice interaction. It indicates the user account password, health data, physical examination data and personal medical history data obtained by the customer service platform through manual service. It means integrating user health data collected through three methods: user self-upload, voice interaction and manual service.

5. A health consultation system according to claim 4, characterized in that: The user health data set The account and password data are not included in the reference user account dataset When the historical data unit determines that the user attribute is a newly registered user, the user health data group The account and password data are included in the reference user account dataset When the historical data unit determines that the user attribute is an old user.

6. A health consultation system according to claim 5, characterized in that: The health analysis unit is based on the user's health data set and reference data sets to calculate the health risk index , and its calculation formula is as follows: In the formula, represents the health risk index, Indicates the reference standard for measuring the user's health status. Represents the ratio of all health data, physical examination data, and personal medical history data from 1 to n in the user's health data group to the reference health standard data set.

7. A health consultation system according to claim 6, characterized in that: The disease analysis unit is based on the user's health data set and reference data sets to calculate the disease risk index , and its calculation formula is as follows: In the formula, represents the disease risk index, Represents the weight index for the difference between the user's health data set and the reference disease standard data set, represents the weight index for the user's health data group, It represents the average health data obtained by fusing the user health data set with the difference between the user health data set and the reference disease standard data set under different weights. It means analyzing the user's average health data using all types of disease data from 1 to n in the reference disease standard data set as the measurement standard.

8. A health consultation system according to claim 7, characterized in that: The comprehensive analysis unit is based on the health risk index and disease risk index , calculate and generate the comprehensive state index , and its calculation formula is as follows: In the formula, represents the comprehensive status index, represents the weight index for the health risk index, represents the weight index for the disease risk index, It represents the average status index obtained by fusing the user health risk index with the user health data set and the disease risk index under different weights.

9. A health consultation system according to claim 8, characterized in that: The health risk index and disease risk index When the values ​​are all less than 1, the disease prevention unit generates a corresponding prevention plan. When the user attribute is a newly registered user, the prevention plan includes the health risk index , disease risk index , Comprehensive Status Index and prevention suggestions. When the user attribute is an old user, the prevention plan includes a health risk index , disease risk index , Comprehensive Status Index , historical data, differences between old and new data and prevention recommendations.

10. A health consultation system according to claim 8, characterized in that: The health risk index and disease risk index When any value in is greater than or equal to 1, the disease treatment unit generates a corresponding treatment plan. When the user attribute is a newly registered user, the treatment plan includes the health risk index , disease risk index , Comprehensive Status Index and treatment suggestions. When the user attribute is an old user, the treatment plan includes a health risk index , disease risk index , Comprehensive Status Index , historical data, differences between old and new data, and treatment recommendations.

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