KR102365527B1 - System and method for analyzing insurance assure using gene - Google Patents

Abstract

The present invention relates to a method for analyzing an insurance coverage that combines a scientific system called a genetic analysis for a rational selection of an insurance product by an insurance policyholder. More specifically, disclosed is a system that receives a genetic test result obtained with a consent of a customer after requesting a genetic test from a genetic testing institution through a medical institution such as an oriental medicine clinic, and proposes a customer-customized guarantee by considering the insurance details for which the customer has signed up for with all of the previous insurance companies. In addition, by using a direct to customer (DTC) genetic test for which various genetic test results can be easily received at home without having to go to the hospital, the present invention discloses the system for providing the customer-customized health improvement information.

Description

{System and method for analyzing insurance assure using gene}

The present invention relates to an insurance guarantee analysis method that combines a scientific system called genetic analysis for rational selection of insurance products by insurance policyholders. It relates to a system that receives the genetic test results obtained with the consent of the company and offers customized insurance in consideration of the insurance details that the customer has signed up for with all insurance companies.

In addition, the present invention relates to a system for providing customer-tailored health improvement information by using a direct to customer (DTC) genetic test that can conveniently receive various genetic test results at home without the need to go to a hospital.

The lives of individuals are constantly being threatened by the occurrence of unpredictable diseases and accidents. The purpose of insurance is not to actively prevent the occurrence of such diseases and accidents, but passively to meet the economic needs caused by the occurrence of accidents. In order to achieve this purpose, many people form an insurance group to prepare for the risk of the same accidental occurrence and pay money in advance in the form of premiums to form a joint reserve property, and when members of the group You can receive insurance payments from Insurance is provided to people in various forms, such as life insurance, non-life insurance, and fire insurance.

Protection-type insurance in modern society focuses on providing protection-type insurance that meets the needs of the insured. In other words, if the majority of people subscribed to insurance set according to the basic risk according to the recommendation by others or the composite risk observed from the combination of several risk factors, then, through individual medical examinations, they are currently diagnosed with high-risk diseases. It is a situation in which insurance is purchased by selecting the insurance factor for the

Hereditary diseases refer to diseases caused by factors related to heredity, such as genes or chromosomes. Until now, insurance has no guarantees related to hereditary diseases of insured persons who are related by blood.

Republic of Korea Patent Publication 10-2005-0048091

One aspect of the present invention discloses a system for analyzing insurance insurance funds by analyzing the genes of a customer to be consulted.

Another aspect of the present invention discloses an insurance guarantee analysis system configured to acquire genetic data from a genetic testing institution only through a medical institution such as an oriental clinic in acquiring customer genetic data from an insurance company.

In addition, another aspect of the present invention discloses an insurance guarantee analysis system that stores customer genetic data and provides program information for each customer's customized diet and health improvement.

The technical problems of the present invention are not limited to the technical problems mentioned above, and other technical problems not mentioned will be clearly understood by those skilled in the art from the following description.

Insurance guarantee analysis system using a gene according to an embodiment of the present invention, the terminal; and a dedicated application for insurance coverage analysis for insurance coverage analysis at the request of the terminal, and analyze insurance coverage information using genetic analysis information of a customer to be consulted through the application for insurance coverage analysis, and use this to ensure insurance and an insurance guarantee analysis server that provides a related consulting menu to the terminal.

On the other hand, the insurance guarantee analysis server transmits the authentication key, which is the genetic information analyzed through the gene kit, of the sample required for analyzing the customer's gene to the server of the company specializing in gene analysis, and from the server of the company specializing in gene analysis to the gene analysis Receives the customer's disease risk analysis result, collects machine drug insurance subscription information by inquiring the customer's insurance subscription information, Comparing the current coverage amount and providing insurance design consulting information for adding insurance to meet the insufficient amount of the current coverage,

The insurance guarantee analysis server receives the evaluation of the application in text form, accumulates and stores the evaluation result text for the application, extracts the stored evaluation result text as learning data, and the learning data with the Word2Vec algorithm Building a neural network that extracts context information from input data by learning, storing in advance a table in which a rating is given for each section of a vector value representing context information, inputting an evaluation result text into the neural network, extracting an evaluation result vector value, , calculates a rating corresponding to the evaluation result vector value extracted from the table, and guides the calculated rating through an application running in the terminal,

Further comprising; a mobile sample acquisition device for acquiring the customer's genetic sample using a sample kit;

The mobile specimen acquisition device includes: a moving body including a closed booth for medical staff and provided as a movable wheeled vehicle; a specimen acquisition unit including a transparent window installed on the side of the movable body and a pair of medical gloves hermetically coupled to protrude from the transparent window; a holder provided in the form of a box with an open upper surface, installed at a predetermined interval from the side of the movable body to the lower end of the specimen acquiring unit, and providing a temporary storage space for a specimen kit acquired by medical staff through the specimen acquiring unit; and a draw-out part installed on the upper portion of the movable body and provided to extend toward the side of the movable body;

The drawing unit may include an installation bracket installed on the upper portion of the movable body and having an internal space; a withdrawal plate accommodated in the inner space of the installation bracket and provided to be drawn out through a side surface of the installation bracket; and a driving unit installed on one side of the installation bracket and operable to withdraw the take-out plate from the inner space of the installation bracket;

The take-out plate may include a gear bar provided on one side in a longitudinal direction and gear-coupled with a rotation shaft of the driving unit to convert the rotational force of the driving unit into linear motion to move the take-out plate; and a guide groove provided on the outer surface to accommodate the guide protrusion provided on the inner surface of the installation bracket.

On the other hand, the holding part, a circulation part provided on one wall to circulate the air in the internal space; and a detachable part provided so that the other side wall can be detachably attached;

The circulation unit may include: an elevating bar provided with a cylinder member so as to be spaced apart from one side wall of the mounting unit by a predetermined distance and installed to be variable in length in the height direction of the mounting unit in the inner space of the mounting unit; a rotating fan that is rotatably installed at the end of the elevating bar and includes a plurality of wing plates to generate wind in the internal space of the mounting part; and at least one elastic member applied as an elastic spring in a state spaced apart a predetermined distance from the outside of the one side wall of the mounting part to be fixed and supported by an elastic force with respect to the outer surface of the one side wall of the mounting part, and the upper part is Including; a fixing part connected to the elevating bar through the horizontal bar;

The other side wall of the mounting portion, the rectangular frame portion having a detachable groove that is inserted into the upper portion; and a wall part installed in the square frame part through the detachable part;

The detachable part is located on the upper part of the rectangular frame part, and the elevating block forming a bent groove for inserting the upper part of the wall part on the bottom surface of one side; and an elevating rod extending to the lower surface of the elevating block and forming a stepped portion formed at an end wider than the width of the elevating rod.

The detachable groove may be formed to have a width corresponding to the stepped portion, and the upper portion may be formed to have a width corresponding to the elevating rod.

According to the above-described aspect of the present invention, according to the invention, there is an effect of providing a customized insurance consulting service according to the customer's disease risk by analyzing and consulting the insurance coverage details using the genetic analysis result of the customer.

In addition, according to the present invention, insurance information is uploaded from individual insurance companies in various file formats, such as PDF files, photo files, and fax files, so that insurance coverage analysis can be performed more easily and quickly.

In addition, according to the present invention, by collecting the customer's health checkup data from the Health Insurance Corporation or using the customer's health examination result through a quantum analyzer, insurance coverage analysis can be performed by reflecting the customer's acquired disease risk. It works.

In addition, according to the present invention, by enabling an insurance company to acquire customer genetic data through a medical institution such as an oriental clinic, security and reliability can be secured.

In addition, according to the present invention, customer satisfaction can be increased by providing customized information including customized diet information and health improvement program information based on genetic data for each customer.

1 and 2 are diagrams showing the configuration of an insurance guarantee analysis system using a gene according to an embodiment of the present invention.
3 is a flowchart illustrating an insurance insurance analysis method in an insurance insurance analysis system according to an embodiment of the present invention.
4 to 41 are examples of user screens according to an embodiment of the present invention.
42 to 47 are examples of an administrator screen according to an embodiment of the present invention.
48 is a diagram conceptually illustrating an insurance guarantee analysis process using a gene according to another embodiment of the present invention.
49 is a diagram conceptually illustrating an insurance guarantee process using a gene according to another embodiment of the present invention.
50 is a diagram conceptually illustrating an insurance guarantee process using a gene according to another embodiment of the present invention.
51 and 52 show a health diagnosis using a quantum analyzer.
53 is a screen showing a health diagnosis using an actual quantum analyzer.
54 and 55 exemplify an analysis report in a health examination using a quantum analyzer.
56 is a view showing a mobile sample acquisition device according to an embodiment of the present invention.
57 is a view showing the mounting portion shown in FIG.
58 is a diagram conceptually illustrating an insurance guarantee process using a gene according to another embodiment of the present invention.
59 is a diagram conceptually illustrating an insurance guarantee process using a gene according to another embodiment of the present invention.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but will be implemented in a variety of different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention belongs It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, "comprises" and/or "comprising" refers to the stated elements, steps, and acts do not exclude the presence or addition of one or more other elements, steps and acts.

1 and 2 are diagrams showing the configuration of an insurance guarantee analysis system using a gene according to an embodiment of the present invention.

Referring to Figure 1, the customer's genetic information in the insurance guarantee analysis system of the present invention is customer → oriental clinic (①), oriental clinic → genetic test specialized institution (②), genetic test specialized institution → oriental medicine clinic (③), oriental medicine clinic → customer ( ④) and customer → insurance guarantee analysis server (⑤).

A customer may visit a medical institution 70 such as an oriental clinic and request a genetic test, and the medical institution 70 may acquire a customer's genetic sample and deliver it to the genetic test specialized institution 30 .

The customer may receive the genetic test result from the genetic test specialized institution 30 through the medical institution 70 .

The customer may transmit the genetic test result to the insurance guarantee analysis server 200 to receive an insurance consulting service based on the customer's genetic test result.

Referring to FIG. 2 , in the insurance guarantee analysis system of the present invention, the customer's insurance subscription information may be transmitted to the individual insurance company server to which the customer is insured → customer (①), and customer → insurance guarantee analysis server (②).

The customer receives insurance subscription information from the insurance company server and transmits it to the insurance guarantee analysis server 200 to receive insurance design consulting information according to the comparison of the required amount of insurance according to the genetic test result and the current insurance amount.

The insurance insurance analysis system of the present invention includes a terminal 100 and an insurance insurance analysis server 200 .

The terminal 100 is a terminal used by a user, and includes a desktop PC and a laptop PC, and is a concept including a mobile communication terminal such as a tablet PC, a mobile phone, a mobile phone, and a smart phone. For example, a mobile communication terminal is a wireless communication device that guarantees portability and mobility, and includes a Personal Communication System (PCS), a Global System for Mobile communications (GSM), a Personal Digital Cellular (PDC), a Personal Hand phone System (PHS), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(WCode Division Multiple Access), Wibro(Wireless Broadband Internet) terminal, smart phone It may include all kinds of handheld-based wireless communication devices such as, for example.

The terminal 100 exemplifies the smart phone 10 and the desktop PC 20 .

In the present invention, the user terminals 10 and 20 may download and execute one or more dedicated applications running on the operating system to receive the insurance guarantee analysis service.

For example, in the present invention, the terminal 100 may be mainly used by an employee in the insurance field who performs insurance-related consulting to a customer, a financial planner, or the like.

The insurance insurance analysis server 200 provides an application dedicated to insurance insurance analysis for insurance insurance analysis at the request of the terminal 100 . Then, insurance insurance information using the genetic analysis information of the customer to be consulted is analyzed through an insurance insurance analysis dedicated application, and an insurance guarantee-related consulting menu is provided to the terminal 100 using this.

In the present invention, the insurance guarantee analysis server 200 transmits the authentication key, which is the genetic information analyzed through the gene kit, to the gene analysis company server 30, a sample required to analyze the customer's gene, and the gene analysis company server Receives the customer's disease risk analysis result according to the genetic analysis from (30).

After receiving the disease risk analysis result, the insurance insurance analysis server 200 collects the machine drug insurance subscription information by inquiring the customer's insurance subscription information, and analyzes the disease risk analysis result and the mechanical drug insurance subscription information to obtain insurance guarantee funds can be analyzed. In this case, the insurance guarantee analysis server 200 may perform identity authentication from the customer through the credit information company server 40 such as the Korea Credit Information Service. In addition, the insurance guarantee analysis server 200 may collect the customer's machine drug insurance information from the individual insurance company server 50 to which the customer is insured.

As a result of analyzing the insurance funds, the insurance insurance analysis server 200 compares the required amount and the current insurance amount among the insurance items to provide insurance design consulting information for adding insurance to meet the insufficient current coverage amount. can provide

In addition, the insurance guarantee analysis server 200 may provide a screen comparing the results before and after the insurance design consulting to the terminal 100 .

First, in order to analyze the customer's genes for consultation, the customer's authentication key is transmitted to a company specializing in gene analysis (1). Here, the authentication key refers to genetic information obtained by analyzing a customer's oral epithelial cells, saliva, and blood samples through a gene kit.

Then, through a specialized interface such as computerization and image scanning, a customer's disease risk analysis result is received from a genetic analysis specialist (2).

And, the result of the customer's disease risk analysis according to the genetic analysis is divided into 'risk, caution, and good', and information on related medical big data statistics and general disease symptoms and prevention methods is additionally inquired (3).

Then, a self-authentication method for inquiring insurance subscription information is selected (4).

Here, the user authentication method can be divided into two types: the mobile phone user authentication method and the public authentication method (5).

In the case of the mobile phone identity authentication method, information such as the customer's insurance subscription information and the amount of guarantee for each guarantee collateral is received in full from a credit information company such as the Korea Credit Information Service.

In the case of self-authentication through accredited authentication, sequential access to each insurance company's website and web crawling of insurance subscription information and information on the amount of insurance for each insurance policy retrieved through the process of 'Automatic login → Machine contract insurance inquiry' Scraping is done using the (Web Crawling) method.

Then, the data acquired through the process of (5) above is purified and combined with the customer's disease risk analysis result according to the genetic analysis to perform the guarantee fund analysis (6).

And, when there is a lack of collateral for each guarantee item, a subscription design is performed to satisfy it (7).

Then, the insurance company receives the subscription design details and compares the results before and after consulting (8).

3 is a flowchart illustrating an insurance insurance analysis method in an insurance insurance analysis system according to an embodiment of the present invention.

Referring to FIG. 3 , the insurance guarantee analysis server 200 transmits an authentication key, which is genetic information obtained by analyzing a sample required for analyzing a customer's gene through a gene kit, to the gene analysis company server 30 , and analyzing the gene. The customer's disease risk analysis result according to the genetic analysis is received from the specialized company server 30 (S301).

Then, the insurance guarantee analysis server 200 receives the disease risk analysis result, analyzes the disease risk analysis result, classifies the customer's disease risk analysis result into 'risk, caution, good', etc., and related medical big data statistics and information on general symptoms and prevention methods.

Then, the insurance guarantee analysis server 200 collects the insurance subscription information of the customer by inquiring the customer's insurance subscription information (S305, S307).

Then, the insurance guarantee analysis server 200 analyzes the disease risk analysis result and the machine drug insurance subscription information to analyze the insurance guarantee funds (S309).

At this time, as a result of analyzing the insurance funds, the insurance insurance analysis server 200 compares the required amount and the current insurance amount among the insurance items. If the current insurance amount is insufficient, insurance design consulting for adding insurance to satisfy this provide information.

Then, the insurance guarantee analysis server 200 provides a screen comparing the results before and after the insurance design consulting to the terminal 100 (S311).

4 to 41 are examples of user screens according to an embodiment of the present invention, and FIGS. 42 to 47 are examples of administrator screens according to an embodiment of the present invention.

4 to 47 , the act of “selecting” means generating a signal at a specific point on the screen in various ways, such as clicking with a mouse or touching with a touch pen or a finger.

The screen examples of FIGS. 4 to 47 exemplify screen examples on a tablet PC among various types of the terminal 100, and a screen example of downloading and installing an application dedicated to insurance insurance analysis using genes from the tablet PC, and executing it am.

4 is an example of a main screen where a user ID and password are input and logged in.

In the main screen of FIG. 4, the application logo is displayed on the upper left, and the menu "Notices, needs information, consulting, customer proposals, data registration" is sequentially listed on the left. And, in the lower right corner, the latest three needs information registration list and notice list are displayed. That is, the needs information and notices are structured so that they can be accessed by selecting them from both sides through the left menu or the lower right.

In addition, the name of the logged-in user and the last login date are displayed in the upper right corner. At this time, the main screen is changed according to the affiliated company of the logged-in user.

5 exemplifies that the main screen is changed according to the affiliated company of the logged-in user. As such, in the present invention, a main page for each affiliated company can be separately produced and called on the screen.

6 is an example of a screen in which "Notice" is selected on the main screen, and then moves to the notice list inquiry screen.

7 is an example of a notice list inquiry screen, and displays the result of inquiring the notice registration list between the inquiry start date and the inquiry end date, and can be sorted in descending order from the most recent registration date.

When a notice title is selected in FIG. 7 , as shown in FIG. 8 , a pop-up screen for inquiring the content of the selected notice is displayed.

9 is an example of a screen in which "need information" is selected on the main screen, and then moves to the needs information list inquiry screen.

10 is an example of a need information list inquiry screen, in which the title, file view, and newspaper scrap material list of the most recently registered newspaper scrap material are automatically displayed.

In the example screen of FIG. 10 , when the newspaper scrap list in the right center of the screen is clicked, the corresponding file view is activated, and when the file view is clicked, the zoom-up process is performed in the form of a newspaper scrap detailed inquiry screen. And, when the video data is clicked, the video data list screen is activated.

In the example screen of FIG. 10, the current user's member affiliation code and insurance company code information are read from the user's basic information management table of the database, and a screen for inquiring a list of newspaper scrap materials and a file view corresponding thereto is provided. .

11 is a screen activated by clicking the file view in the newspaper scrap detailed inquiry in the screen example of FIG. 10, and the screen can be enlarged or reduced while clicking '+, -'.

12 is a screen example of FIG. 10 selected from the video data, the title, file view, and video data list of the most recently registered video data are automatically displayed, and the video is executed when the 'play' button is clicked.

13 is an example of a screen in which the 'Consulting' menu is selected on the main screen, 'Gene guarantee analysis (simple)', 'Gene guarantee analysis (detailed)', 'Original contract guarantee analysis (simple)', 'Early contract guarantee analysis ( Details)' menu is displayed.

14 is an example of a screen in which the 'Genetic Guaranteed Analysis (Simple)' menu is selected in FIG.

Referring to FIG. 14 , when a search condition is set by entering a search word in the customer name input field and an inquiry is executed, a list of managed customers satisfying the search condition is received from the customer's insurance company (customer company) and displayed on the screen. If a customer name search term is not entered, all the managed customers list of the current financial planner are searched.

When a customer is selected in FIG. 14 and the next button at the bottom of the screen is clicked, the customer's genetic analysis result information is received from the customer. If there is no genetic analysis result, the message 'The selected customer's genetic analysis information does not exist' is displayed.

Here, if you select a customer with genetic analysis results and click the Confirm button at the bottom of the screen, the mobile phone identity verification pop-up window is activated.

15 is an example of a screen outputting a pop-up message 'The selected customer's genetic analysis information does not exist' when a customer without a genetic analysis result is selected.

FIG. 16 is an example of a self-authentication pop-up screen for inquiring machine drug insurance information after selecting a customer with a genetic analysis result in FIG. 14 . In the example screen of FIG. 16 , a mobile phone user authentication pop-up is displayed.

17 is an example of a screen in which a progress rate for inquiring machine contract insurance information is displayed. FIG. 17 is an example of a screen activated when the mobile phone user authentication performed in FIG. 16 is completed.

In Fig. 17, 1) input basic consultation information in the customer consultation basic table, 2) receive the gene analysis result of the selected customer from the customer company, and enter the gene analysis result in the customer gene analysis history table, 3) the required funds for guarantee Calculated and entered into the customer gene protection required fund statement table, 4) received the selected customer’s insurance subscription from the Korea Credit Information Service, and based on this, 5) calculated the insurance reserve fund statement and entered it into the customer genetic guarantee reserve fund statement table Then, input the required amount of guarantee and the information on the result items before consulting in the customer consulting result base table and customer gene consulting result detailed table.

And, when steps 1) to 5) above are successfully completed, it moves to the gene analysis result inquiry screen, and when the 'Previous' button is clicked, it moves to the customer selection screen.

18 and 19 are examples of screens for inquiring gene analysis results.

18 and 19, 1) inquire the gender of the customer selected in the customer consultation basic table and call the screen format according to the gender, 2) inquire the incidence rate according to the disease classification of the customer selected in the customer gene analysis table, in advance Good/Caution/Dangerous results are displayed according to the established criteria. For example, if the incidence rate for each disease category is 0 to 0.6, good, 0.6 to 1.0, caution, and 1.0 or higher, risk, and so on.

18 is a male customer, and FIG. 19 is an example of a genetic analysis result inquiry screen of a female customer.

18 and 19, when the previous button is clicked, it moves to the customer selection screen, and when the next button is clicked, it moves to the contract guarantee details result inquiry screen. And, when you click the angle image on the right side of the screen, the detailed result scrolling of the selected disease classification is released.

20 to 22 are examples of a detailed result inquiry screen for cancer disease-related genetic analysis. FIGS. 20 and 21 are examples of detailed results inquiry screens for male customers, and FIG. 22 is an example detailed result inquiry screens for female customers.

20 to 22, when clicking the angle image on the right side of cancer disease, the detailed result screen scroll is released to display only the genetic analysis result of 'danger, caution', but the display is sequentially displayed in the order of danger → caution.

Then, when the previous button is clicked, it moves to the customer selection screen, and when the next button is clicked, it moves to the contract guarantee details result inquiry screen.

When the angle image on the right side of the screen is clicked, the detailed result screen of the selected disease classification is hidden and displayed like the main screen of genetic analysis result inquiry.

Then, when clicking the detailed view button at the bottom right of the detailed screen, the 'cancer disease detailed inquiry pop-up' is activated.

20 to 22 , a disease name is generated by inquiring a disease classification code (eg, male 01 to 07, female 01 to 06 & 08 & 09) in the system code management table of the database.

In addition, the risk rate of the disease is inquired by the counseling serial number in the customer gene analysis details table of the database.

And, the risk level is indicated in a way that displays the result of good/caution/risk according to the internal standard related to the incidence rate. For example, an incidence rate of 0-0.6 by disease classification is considered good, 0.6-1.0 is caution, and 1.0 or higher is classified as risk.

The initial symptoms are displayed by querying the initial symptom contents of the disease information history management table, and the average treatment cost is displayed by querying the average total medical cost value of the disease information history management table.

23 is an example of a screen for inquiring in detail the results of vascular disease-related gene analysis.

When clicking on the angle image on the right side of the vascular disease in FIG. 23, the detailed result screen scroll is released and only the genetic analysis result of 'danger, caution' is sequentially displayed.

Here, when the previous button is clicked, it moves to the customer selection screen, and when the next button is clicked, it moves to the contract guarantee details result inquiry screen.

When the angle image on the right side of the screen is clicked, the detailed result screen of the selected disease classification is hidden and the genetic analysis result inquiry screen is displayed like the main screen.

And, when clicking the detailed view button at the bottom right of the detailed screen, the 'general disease detailed inquiry pop-up' is activated.

24 is an example of a screen for inquiring in detail the results of brain disease-related gene analysis.

When clicking the angle image on the right side of the brain disease in FIG. 24, the detailed result screen scroll is released and only the genetic analysis result of 'danger, caution' is sequentially displayed.

Here, when the previous button is clicked, it moves to the customer selection screen, and when the next button is clicked, it moves to the contract guarantee details result inquiry screen.

When the angle image on the right side of the screen is clicked, the detailed result screen of the selected disease classification is hidden and the genetic analysis result inquiry screen is displayed like the main screen.

23 to 24, a disease name is generated by inquiring a disease classification code (eg, male 01 to 07, female 01 to 06 & 08 & 09) in the system code management table of the database.

Then, the invention risk rate is inquired by the counseling serial number in the customer gene analysis details table of the database.

And, the risk level is indicated in a way that displays the result of good/caution/risk according to the internal standard related to the incidence rate. For example, an incidence rate of 0-0.6 by disease classification is considered good, 0.6-1.0 is caution, and 1.0 or higher is classified as risk.

The initial symptoms are displayed by querying the initial symptom contents of the disease information history management table, and the average treatment cost is displayed by querying the average total medical cost value of the disease information history management table.

25 is an example of a screen for inquiring details of a cancer disease. It is an example of a screen in which a detailed inquiry pop-up of a corresponding cancer disease is activated when the detailed view button is clicked on the detailed result inquiry screen for gene analysis related to cancer diseases.

In Fig. 25, when the 'OK' button is clicked, the screen close is executed, and when the 'Healthcare Mall shortcut' is clicked, the page screen linked to the related URL is moved.

In FIG. 25, the disease name is the cancer disease selected on the detailed cancer disease-related genetic analysis result inquiry screen, and the disease English name is the disease name in the disease information history management table.

And, the disease basic information at the top of the screen is displayed by retrieving it from the disease basic contents of the disease information history management table, and the cause is displayed by retrieving it from the disease cause contents of the disease information history management table. And, symptoms are displayed by querying from the disease symptom contents of the disease information history management table, risk factors are displayed by searching from the disease risk factors contents of the disease information history management table, and the 5-year relative survival rate is 5 of the disease information history management table. Inquire and display in the annual relative survival rate (local, local, remote, unknown). And, recurrence and metastasis are displayed by querying from the content of recurrence and metastasis in the disease information history management table.

26 is an example of a screen for inquiring details of a general disease. When the detailed view button is clicked on the detailed result inquiry screen for vascular disease and brain disease-related gene analysis, a detailed inquiry pop-up of the disease is activated.

In FIG. 26, when the 'OK' button is clicked, the screen close is executed, and when the 'Healthcare Mall shortcut' is clicked, the page screen linked to the related URL is moved.

In FIG. 25, the disease name is the cancer disease selected on the detailed cancer disease-related genetic analysis result inquiry screen, and the disease English name is the disease name in the disease information history management table.

In addition, basic disease information at the top of the screen is displayed by inquiring from the basic disease contents of the disease information history management table, and the cause is displayed by searching from the disease cause contents of the disease information history management table. In addition, symptoms are displayed by querying from the disease symptom contents of the disease information history management table, risk factors are displayed by retrieving from the risk factors contents of the disease information history management table, and the treatment method is displayed from the treatment method contents of the disease information history management table. Inquire and display.

27 is an example of a screen for inquiring the analysis result of the contract guarantee details corresponding to the genetic analysis result.

In FIG. 27, when the next button at the bottom of the genetic guarantee analysis result inquiry screen is clicked, the contract guarantee details result inquiry screen is activated, and the analysis results for each contract guarantee item are inquired in the customer gene consulting result detailed table.

In FIG. 27, when the previous button is clicked, it moves to the gene analysis result inquiry screen, and when the next button is clicked, it moves to the consulting proposal screen.

Then, when the angle image on the right side of the screen is clicked, the detailed result screen scrolling by the selected guarantee analysis classification is released.

For detailed classification results of guarantee items, the pre-consulting analysis result classification code in the detailed table of customer genetic consulting results is inquired, and for the detailed classification of guarantee items, the genetic contract analysis classification code in the system code management table is searched and displayed.

28 is an example of a screen for inquiring in detail the details of machine drug diagnosis funds.

In FIG. 28, when the angle image on the right side of the diagnosis is clicked, the detailed result screen scroll is released to display this screen.

Then, when the previous button is clicked, it moves to the gene analysis result inquiry screen, and when the next button is clicked, it moves to the consulting proposal screen. And, when the angle image on the right side of the screen is clicked, the detailed result screen of the selected Munseok item is hidden, and the pre-contract guarantee details result inquiry screen is displayed as the main screen.

When the detailed view button on the right side of the detailed screen is clicked, a pop-up for detailed inquiry of guarantee and collateral of the detailed analysis item is activated.

In FIG. 28, the guarantee security item inquires the genetic contract analysis classification code in the system code management table, the required amount of guarantee inquires the required amount of guarantee in the detailed table of the customer genetic consulting result, and the current guarantee amount is the detailed table of the customer genetic consulting result Inquire and display the pre-consultation guaranteed amount.

Then, it is calculated and displayed as "Over-deficiency amount = absolute value (Minimum(current guarantee amount - guarantee required amount, 0))".

29 is an example of a pop-up screen that compares and inquires a genetic analysis result and a mechanologic high-liquid cancer diagnosis ratio result.

In FIG. 29 , when the detailed view of cancer diagnosis cost button is clicked on the detailed inquiry screen for drug diagnosis funds, a corresponding pop-up is activated. And, when the OK button is clicked, the screen close is executed.

In FIG. 29, the cancer type classifies the male/female pop-up by inquiring the customer's gender in the customer consultation basic table, and the gene analysis result for each cancer type is displayed by querying the analysis result classification code value for each cancer type in the customer gene analysis history table. . In addition, average medical expenses are searched for average total medical expenses by disease classification code in the disease information history management table, insurance required funds are searched by item in the customer gene guarantee required funds table, and insurance reserve funds are customer gene security reserve fund details table Inquires and displays the guaranteed amount value.

30 and 31 are examples of pop-up screens for comparing and inquiring results of genetic analysis and general cancer diagnosis cost.

In FIGS. 30 and 31 , a corresponding pop-up is activated when the detailed view of cancer diagnosis cost button is clicked on the detailed inquiry screen for medical drug diagnosis funds.

When the OK button is clicked in FIGS. 30 and 31 , the screen close is executed.

For cancer types, the male/female pop-ups are classified by inquiring the customer gender in the customer consultation basic table, and the gene analysis results for each cancer type are displayed by looking up the analysis result classification code value for each cancer type in the customer gene analysis history table.

And, the average medical cost is searched for the average total medical cost by disease classification code in the disease information history management table, the insurance required funds are searched by item in the customer gene guarantee required funds table, and the guarantee reserve funds are the customer gene security reserve fund details table Inquires and displays the guaranteed amount value.

FIG. 32 is an example of a pop-up screen for comparing and inquiring results of genetic analysis and general disease diagnosis cost. When clicking on the detailed view button for cancer, high-malignant cancer and other items on the detailed inquiry screen for drug diagnosis funds, the corresponding pop-up is activated.

When the OK button is clicked in FIG. 32, the screen close is executed.

In FIG. 32, the gene analysis result inquires the incidence rate by disease type in the customer gene analysis table, and displays good/caution/risk results according to internal standards. For example, if the incidence rate for each disease class is 0 to 0.6, good, 0.6 to 1.0, caution, and 1.0 or higher, dangerous.

And, the guarantee required funds are inquired by item in the customer gene guarantee required fund details table, and the guarantee reserve funds are displayed by inquiring the guaranteed amount value in the customer genetic guarantee reserve fund details table.

33 and 34 are examples of screens for registering consulting proposal details such as recommending a new product or canceling a contract.

In Figure 33, when the plan A ~ C button is clicked, it is linked to the customer's subscription design system. That is, when the customer's subscription design system completes the design and executes the guarantee analysis link function, the subscription design product and guarantee details are displayed on this screen.

When the machine contract adjustment button is clicked, the machine contract insurance adjustment pop-up (for genetic insurance analysis) is activated, and when the previous button is clicked, it moves to the machine contract insurance policy result inquiry screen.

When recommending a new insurance product in connection with the customer's subscription design, it updates the basic customer new product recommendation, customer genetic new product recommendation detail, customer consulting result basic, and customer genetic consulting result detailed table.

If you click the Save button in the state that there is no subscription design interlocking or mechanical contract adjustment from Plan A to C, 'Consulting history does not exist. Please recommend an insurance product or adjust machine contract insurance.” is displayed.

If you click the Save button in the state that one or more subscription design interlocking or mechanical contract adjustments among Plans A to C exist, 'Design information has been saved normally. Consulting details can be checked in the Customer Proposal menu', a notification message is displayed.

On the screen of FIG. 34 , it is possible to update the new product recommendation details, the number of fulfillment of insufficient security, and the insurance premium paid when the subscription design is linked or the contract is adjusted.

When the subscription design is linked or the contract is adjusted, the angle image on the right side of the screen is activated.

If only the contract adjustment is made without interlocking the subscription design, 'There is no recommended product' is displayed in the new recommended product display box, and the text 'There is currently a contract adjustment case' is displayed in the product description column.

When recommending a new insurance product in connection with the customer's subscription design, update the basic customer new product recommendation, customer genetic new product recommendation detail, customer consulting result basic, customer genetic consulting result detailed table, new product name, new product description, and insufficient collateral Inquire information such as the number and premium paid in the table.

When the reset button is clicked, the machine contract adjustment case of the plan and new product recommendation case are initialized on the screen, and the customer consulting result basic, customer new product recommendation basic, customer machine contract adjustment detail, customer genetic consulting result detail, customer genetic new product recommendation detail Buys the corresponding data row in the table.

Product name and product description are inquired in the basic table for new product recommendation by customers, and the number of insufficient collateral is displayed after consulting in the customer consulting result basic table. The premium paid is displayed by querying the premium paid after consulting in the basic table of customer consulting results.

35 is an example of a screen for inquiring a comparison analysis of guaranteed funds before and after consulting according to a consulting proposal.

In FIG. 35, when the subscription design interlocking or contract adjustment is made, the angle image button on the right side of the screen is activated, and when the angle angle image is clicked, a detailed information inquiry screen is provided.

In Fig. 35, when the previous button is clicked, it moves to the contract guarantee details result inquiry screen, and when the save button is clicked, 'Design information has been saved normally. Consulting details can be checked in the customer proposal menu'. When clicking the angle image button, the consulting proposal screen is switched to the main screen.

The comparison before and after consulting is inquired in the customer consulting result basic table, and the guarantee details by collateral are inquired and displayed in the customer genetic consulting result detailed table.

36 is an example of a pop-up screen for inquiring and adjusting a machine contract insurance subscription list and insurance details.

In Fig. 36, when the machine contract adjustment button is clicked on the consulting proposal main screen, the machine contract insurance adjustment pop-up (for genetic insurance analysis) is activated.

And, in the case of maintaining or canceling the existing insurance contract by using the mechanical contract adjustment pop-up, related information is updated in the customer machine contract adjustment details, the basic customer consulting result, and the customer genetic consulting result detailed table.

37 is an example of a screen where a customer proposal is clicked on the main screen. When you click on the customer proposal, it moves to the customer proposal list inquiry screen.

38 is an example of a screen for inquiring a list of proposals created during the period of the proposal creation date.

In FIG. 38, the inquiry start date is a date one year ago from the inquiry end date, the inquiry end date is set to the inquiry day, and the results of the inquiry creation list between inquiry start date and inquiry end date are displayed, but sorted in descending order from the most recent registration date indicate

Here, when the preview button is clicked, the proposal preview window is activated, and when the file save button is clicked, the proposal file registered in the server can be saved to the local PC. And, when the delete button is clicked, the proposal file is deleted from the server.

39 is an example of a screen on which a preview of the selected proposal is performed, which is activated when the preview button is clicked on the customer proposal list inquiry screen.

40 is an example of a screen where data registration is clicked on the main screen, and when data registration is clicked, the data registration screen is moved.

Fig. 41 is an example of a screen for registering user data.

In FIG. 41, the registration category is selected as newspaper material, and a screen for inputting the file path of the corresponding file is provided. When selecting video material, change the file path text to the URL address. When the registration button is clicked, the registration details are saved in the server.

42 to 47 are examples of an administrator screen according to an embodiment of the present invention.

FIG. 42 is an example of a screen in which an administrator registers materials such as newspaper clippings and video URLs, and FIG. 43 is an example of a screen in which the administrator manages a member list, approves usage rights, or resets a password.

44 is an example of a screen for an administrator to register a notice, and FIG. 45 is an example of a screen for an administrator to check a user's system access log.

46 is an example of a screen for an administrator to upload or download a code within the system, and FIG. 47 is an example for a screen for an administrator to upload or download disease-related information from within the system.

48 is a diagram conceptually illustrating an insurance guarantee analysis process using a gene according to another embodiment of the present invention.

Referring to FIG. 48, when a customer signs up for a member of a planner that provides insurance insurance analysis service through a mobile phone or laptop computer (1), the planner applies for a customer's genetic test to a genetic analysis company through a mobile phone or laptop computer. and requests the customer's insurance subscription information from the insurance company (2).

At this time, identity authentication for the customer is performed (3). In an embodiment of the present invention, the identity authentication method may include a mobile phone identity authentication method using an authentication number, a public authentication method, and the like. In the case of mobile phone identity verification, information such as customer insurance subscription information and guaranteed amount for each guarantee collateral is received in full from credit information companies such as the Korea Credit Information Service.

In addition, a company specializing in gene analysis analyzes a customer's gene using the authentication key, which is the genetic information analyzed through a gene kit of samples such as oral epithelial cells, saliva, and blood, and specializes in analyzing the customer's disease risk analysis results. It is transmitted to the insurance guarantee analysis server 200 (4).

Then, the individual insurance company transmits insurance information including the customer's machine contract insurance subscription information to the insurance guarantee analysis server 200 (4). In this case, individual insurance companies may upload insurance information in a file format including a PDF file, a photo file, and a fax file. In other words, the insurance insurance analysis server 200 inquires the insurance subscription information through the homepage of the individual insurance company that the customer subscribes to, so that the machine contract insurance subscription information is uploaded in a file format including a PDF file, a photo file, and a fax file. can do.

Next, the insurance guarantee analysis server 200 analyzes the genetic analysis-based insurance fund (5), and remodels the customer's insurance using the analysis result (6). In this case, the customer's insurance can be remodeled by automatically reflecting the customer's existing insurance, as well as manually inputting a new insurance product.

49 is a diagram conceptually illustrating an insurance insurance analysis process using a gene according to another embodiment of the present invention.

Referring to FIG. 49 , when a customer joins a planner that provides insurance coverage analysis service through a mobile phone or laptop (1), the planner requests the health checkup data of the customer from the Health Insurance Corporation through a mobile phone or laptop computer, etc. and request a customer's genetic test from a genetic analysis company, and request information about the customer's insurance subscription from an insurance company (2).

49, the insurance guarantee analysis server 200 receives the customer's health checkup data from the Health Insurance Management Corporation in order to analyze the customer's acquired disease risk, and the disease risk analysis result, health checkup data, and machine drug insurance Insurance coverage funds can be analyzed by analyzing subscription information.

At this time, identity authentication for the customer is performed (3). In an embodiment of the present invention, the identity authentication method may include a mobile phone identity authentication method using an authentication number, a public authentication method, and the like. In the case of mobile phone identity verification, information such as customer insurance subscription information and guaranteed amount for each guarantee collateral is received in full from credit information companies such as the Korea Credit Information Service.

In addition, a company specializing in gene analysis analyzes a customer's gene using the authentication key, which is the genetic information analyzed through a gene kit of samples such as oral epithelial cells, saliva, and blood, and specializes in analyzing the customer's disease risk analysis results. It is transmitted to the insurance guarantee analysis server 200 (4).

Then, the individual insurance company transmits insurance information including the customer's machine contract insurance subscription information to the insurance guarantee analysis server 200 (4). In this case, individual insurance companies may upload insurance information in a file format including a PDF file, a photo file, and a fax file. In other words, the insurance insurance analysis server 200 inquires the insurance subscription information through the homepage of the individual insurance company that the customer subscribes to, so that the machine contract insurance subscription information is uploaded in a file format including a PDF file, a photo file, and a fax file. can do.

Next, the insurance guarantee analysis server 200 analyzes the customer's insurance fund based on the genetic analysis result and the health checkup data (5), and remodels the customer's insurance using the analysis result (6). In this case, the customer's insurance can be remodeled by automatically reflecting the customer's existing insurance, as well as manually inputting a new insurance product.

50 is a diagram conceptually illustrating an insurance insurance analysis process using a gene according to another embodiment of the present invention.

Referring to FIG. 50 , when a customer joins a planner that provides insurance coverage analysis service through a mobile phone or laptop (1), the planner performs a customer health check using a quantum analyzer, and uses a mobile phone or laptop computer. Through this, a customer's genetic test is requested from a genetic analysis company, and the customer's insurance information is requested from the insurance company (2).

In the embodiment of FIG. 50 , the insurance guarantee analysis system further includes a quantum analyzer for performing a user's health examination using quantum medicine. In addition, the insurance guarantee analysis server 200 may receive the customer's health examination result data through a quantum analyzer, and analyze the disease risk analysis result, the health examination result data, and the machine drug insurance subscription information to analyze the insurance guarantee fund. .

At this time, identity authentication for the customer is performed (3). In an embodiment of the present invention, the identity authentication method may include a mobile phone identity authentication method using an authentication number, a public authentication method, and the like. In the case of mobile phone identity authentication, the Korea Credit Information Service, etc., receive information such as customer insurance subscription information and guaranteed amount for each guarantee for a specific period from a credit information company.

In addition, a company specializing in gene analysis analyzes a customer's gene using the authentication key, which is the genetic information analyzed through a gene kit of samples such as oral epithelial cells, saliva, and blood, and specializes in analyzing the customer's disease risk analysis results. It is transmitted to the insurance guarantee analysis server 200 (4).

Then, the individual insurance company transmits insurance information including the customer's machine contract insurance subscription information to the insurance guarantee analysis server 200 (4). In this case, individual insurance companies may upload insurance information in a file format including a PDF file, a photo file, and a fax file. In other words, the insurance insurance analysis server 200 inquires the insurance subscription information through the homepage of the individual insurance company that the customer subscribes to, so that the machine contract insurance subscription information is uploaded in a file format including a PDF file, a photo file, and a fax file. can do.

Next, the insurance guarantee analysis server 200 analyzes the customer's insurance fund based on the genetic analysis result and the health examination result data (5), and remodels the customer's insurance using the analysis result (6). In this case, the customer's insurance can be remodeled by automatically reflecting the customer's existing insurance, as well as manually inputting a new insurance product.

In the embodiment of Figure 50, the health of a customer can be diagnosed based on quantum medicine using a quantum analyzer. , diet, beauty, self-prevention and management, etc. are used as a reference for health checks.

51 and 52 are diagrams illustrating a health diagnosis using a quantum analyzer, and FIG. 53 is a screen showing an actual health diagnosis using a quantum analyzer.

51, 52, and 53 , it is possible to perform a health diagnosis in which brain and cardiovascular diseases, musculoskeletal diseases, various intestinal functions, eating habits-related functions, and human toxins are analyzed through a quantum analyzer.

54 and 55 exemplify an analysis report in a health examination using a quantum analyzer. 54 illustrates a cardiovascular analysis report, and FIG. 55 illustrates a gastrointestinal function analysis report.

As such, in the present invention, a customer's acquired disease risk can be analyzed using a quantum analyzer, and a more accurate customer-tailored insurance design service can be provided by reflecting this and analyzing the insurance funds.

On the other hand, the insurance insurance analysis server 200 requests and receives the evaluation result text for the insurance insurance analysis-only application for the insurance insurance analysis executed in the terminal 100 from the user, and analyzes the received evaluation result text to determine the value of the application. ratings can be calculated.

For example, the insurance guarantee analysis server 200 may construct a neural network for extracting context information from input data. Here, the input data may be evaluation result text.

The insurance guarantee analysis server 200 may accumulate and store the evaluation result text, and may extract the stored evaluation result text as learning data.

The insurance guarantee analysis server 200 may build a neural network for extracting context information from input data by learning learning data using the Word2Vec algorithm.

The Word2Vec algorithm may include a Neural Network Language Model (NNLM). The neural network language model is basically a Neural Network consisting of an Input Layer, a Projection Layer, a Hidden Layer, and an Output Layer. The neural network language model is what is used to vectorize words. Since the neural network language model is a known technology, a detailed description thereof will be omitted.

The Word2vec algorithm, for text mining, is an algorithm that determines the proximity by looking at the front and back relationships between each word. The Word2vec algorithm is an unsupervised learning algorithm. The Word2vec algorithm may be a metric that expresses the meaning of a word in a vector form, as the name indicates. The Word2vec algorithm can represent each word as a vector in a space of about 200 dimensions. Using the Word2vec algorithm, a vector corresponding to a word can be obtained for each word. The Word2vec algorithm may enable a dramatic improvement in precision in the field of natural language processing compared to other conventional algorithms. Word2vec can learn the meaning of words by using the relationship between words in the sentences of the input corpus and adjacent words. The Word2vec algorithm is based on an artificial neural network, and it starts from the premise that words with the same context have close meanings. The Word2vec algorithm learns through text documents, and trains the artificial neural network to learn other words that appear nearby (about 5 to 10 words before and after) for one word as related words. Since words with related meanings are more likely to appear close to each other in the document, two words can have vectors that are closer to each other in the process of repeating learning.

The learning method of the Word2vec algorithm is divided into a CBOW (Continuous Bag Of Words) method and a skip-gram method. The CBOW method predicts the target word using the context created by the surrounding words. The skip-gram method predicts words that can come around based on one word. The skip-gram method is known to be more accurate in large datasets.

Therefore, in the embodiment of the present invention, the Word2vec algorithm using the skip-gram method is used. For example, if learning is successfully completed through the Word2vec algorithm, similar words may be located nearby in a high-dimensional space. According to the Word2vec algorithm as described above, the closer the distribution of the surrounding words in the learning document is, the more similar the calculated vector values may be, and the similarly the calculated vector values may be regarded as similar. Since the Word2vec algorithm is a well-known technique, a more detailed description related to vector value calculation will be omitted.

The insurance guarantee analysis server 200 may store in advance a table in which a rating is given for each section of a vector value representing context information, and may extract an evaluation result vector value by inputting an evaluation result text into the neural network.

The insurance guarantee analysis server 200 calculates a rating corresponding to the evaluation result vector value from a table in which ratings are given for each section of the vector value representing context information, and guides the calculated rating through an application executed in the terminal 100. can

Meanwhile, the insurance insurance analysis system using the gene according to another embodiment of the present invention may further include a mobile sample acquisition device.

The mobile sample acquisition device may be used to acquire a sample required to analyze a customer's gene. The mobile sample acquisition device may visit a place where the customer stays and acquire a sample necessary to analyze the customer's gene. Since the insurance guarantee analysis system using a gene according to another embodiment of the present invention does not require a customer to visit a separate place for genetic testing, the effect of improving customer convenience is achieved.

56 is a view showing a mobile sample acquisition device according to an embodiment of the present invention.

Referring to FIG. 56 , the mobile specimen acquiring device 500 according to an embodiment of the present invention may include a moving object 510 , a specimen acquiring unit 520 , a mounting unit 550 , and a withdrawing unit 530 . .

The movable body 510 may be provided as a truck having a bulk box-type structure. For example, the movable body 510 is a vehicle with movable wheels, in which a device for driving the vehicle and a driver's seat are installed in the front part, and a closed booth consisting of a space of a certain volume blocked from the outside is provided in the rear part. It may be provided in the same shape as a top car. A plurality of medical personnel for obtaining a customer's genetic sample can be boarded in such a closed booth.

The sample acquisition unit 520 adopts a structure that allows the customer's genetic sample to be acquired in a non-contact manner from the outside of the mobile body 510 . For example, the sample acquiring unit 520 may include a transparent window installed on the side of the movable body 510 and a pair of medical gloves sealingly coupled to protrude from the transparent window. The medical staff may perform a series of processes such as collecting a genetic sample for a customer located outside the mobile body 510 while putting both hands on a pair of medical gloves inside the mobile body 510 . In addition, the specimen acquisition unit 520 may include a storage box communicating with the closed space, and may receive a sample kit and a questionnaire inputted from a customer through the storage box. The sample acquisition unit 520 may block the spread of infectious diseases by minimizing contact between the customer and the medical staff.

The mounting unit 550 may be provided in the form of a box with an open upper surface, and may be installed from the outside of the movable body 510 to the lower end of the sample acquiring unit 520 at a predetermined interval.

The holding unit 550 provides a temporary mounting space for the specimen kit, and is installed at the lower end of the specimen acquiring unit 520 to accommodate the specimen kit accidentally dropped by medical personnel. For example, a medical staff may obtain a customer's sample using a sample kit while wearing medical gloves, and place it on the mounting unit 550 located at the bottom. The customer may obtain the specimen kit from the mounting unit 550 and put it in through the storage box.

The lead-out part 530 may be installed on the upper portion of the movable body 510 and may be provided to extend toward the side of the movable body 510 .

The lead-out part 530 may include an installation bracket 531 , a lead-out plate 532 , and a driving part 533 .

The installation bracket 531 may be installed on the upper portion of the movable body 510 , and may have an internal space and form a long hole on one side thereof.

The lead plate 532 may be accommodated in the inner space of the installation bracket 531 , and may be provided to be drawn out through a long hole formed on a side surface of the installation bracket 531 .

The driving unit 533 is installed on one side of the installation bracket 531 , and may operate so that the extraction plate 532 is drawn out from the inner space of the installation bracket 531 .

The driving unit 533 may be provided as a predetermined motor device, and the rotation shaft of the motor device may be meshed with a gear bar 534 provided on one side of the take-out plate 532 in the longitudinal direction. Accordingly, when the driving unit 533 generates a rotational force, the gear bar 534 may convert it into a linear motion to move the take-out plate 532 .

Here, the guide protrusion 535 may be provided on the inner surface of the installation bracket 531 , and the guide groove 536 in which the guide protrusion 535 is accommodated may be provided on the outer surface of the take-out plate 532 .

The lead-out part 530 is installed on the upper portion of the movable body 510 and is drawn out as necessary to serve as a shading film. The mobile specimen acquisition device 500 according to an embodiment of the present invention includes a pull-out unit 530 so that specimen acquisition can be performed even in rain.

Meanwhile, the mounting unit 550 is provided to circulate air in the internal space to remove foreign substances from the internal space. In this regard, it will be described with reference to FIG.

57 is a view showing the mounting portion shown in FIG.

Referring to FIG. 57 , the mounting part 550 may be provided in the form of a box with an open upper side as described above. The mounting unit 550 may include a circulation unit 560 provided on one side and a detachable unit 570 provided on the other side.

The circulation unit 560 may include an elevating bar 561 , a rotating fan 563 , and a fixing unit 565 .

The elevating bar 561 may be installed to be spaced apart from one side wall 551 of the mounting part 550 by a predetermined distance and to be variable in length in the height direction of the mounting part 550 . For example, the elevating bar 561 may be provided as a cylinder member, and may include a rod 562 elevating from the body portion.

The rotating fan 563 may be rotatably installed at an end of the elevating bar 561 .

For example, the rotating fan 563 may be provided including a plurality of wing plates, and is installed in a driving motor provided on the rod 562 to blow wind into the internal space of the mounting unit 550 by the driving force of the driving motor. can cause

The fixing part 565 may be provided to fix the elevating bar 561 on one side wall 551 of the mounting part 550 .

The fixing part 565 may be disposed to be spaced apart from one side wall 551 of the mounting part 550 by a predetermined distance, and at least one elastic support member 566 is provided on the one side wall 551 of the mounting part 550 through Can be fixedly installed.

A plurality of elastic support members 566 may be installed at equal intervals along the longitudinal direction of the fixing part 565 , and may be applied as an elastic spring providing an elastic pressing force to the outer wall of the mounting part 550 . That is, the fixing part 565 may be contact-supported by the elastic force against the outer wall of the mounting part 550 by the elastic support member 566 .

The upper end of the fixing part 565 may be connected to the elevating bar 561 through the horizontal bar 564 .

This fixing part 565 is installed on one side wall 551 of the mounting part 550 but the elevating bar 561 and the rotating fan 563, it elastically supported by the rotation of the rotating fan 563. It can absorb some vibrations.

The circulation unit 560 may circulate the air in the inner space of the mounting unit 550 by rotating the rotating fan 563 according to the user's manipulation, and at this time, the rotating fan 563 through the elevating bar 561. Since it works while ascending and descending, air circulation efficiency can be improved.

The detachable unit 570 may be provided to attach and detach the other side wall of the mounting unit 550 . The detachable unit 570 detaches the other side wall of the mounting unit 550 while the circulation unit 560 operates so that the internal air of the mounting unit 550 is discharged to the outside.

The other side wall of the mounting portion 550 may be composed of a rectangular frame portion 552 and a wall portion 552a installed on the rectangular frame portion 552 through the detachable portion 570 . At this time, the rectangular frame part 552 may have a detachable groove 552b that is inserted into the upper part, and the detachable part 570 may be inserted into the detachable groove 552b.

The detachable unit 570 may include an elevating block 571 and an elevating rod 572 .

The elevating block 571 may be located on the upper portion of the rectangular frame portion 552 , and may form a bent groove 571a for insertion of the wall portion 552a on one bottom surface.

The elevating rod 572 may extend to the bottom surface of the elevating block 571 , and a stepped portion 574 formed to be wider than the width of the elevating rod 572 may be formed at the end thereof. At this time, the width of the detachable groove 552b is formed to correspond to the stepped portion 574 , and the upper portion 573 thereof may be formed to correspond to the elevating rod 572 .

When describing the installation method of the wall part 552a using the detachable part 570, the lower part of the wall part 552a is inserted into a predetermined seating part provided in the lower part of the square frame part 552. Then, by lowering the detachable part 570 so that the upper end of the wall part 552a is inserted into the bending groove 571a, the wall part 552a can be installed and fixed to the square frame part 552.

58 is a diagram conceptually illustrating an insurance guarantee process using a gene according to another embodiment of the present invention.

Referring to FIG. 58 , an insurance guarantee process using a gene according to another embodiment of the present invention may include a genetic analysis specialist, a medical institution, and an insurance insurance analysis server.

An insurance guarantee process using a gene according to another embodiment of the present invention may further include a medical institution when compared to the insurance guarantee process using a gene according to an embodiment of the present invention.

According to the insurance guarantee process using a gene according to another embodiment of the present invention, a medical institution is an institution for obtaining a customer's sample, and may include, for example, an oriental medicine clinic.

A medical institution can acquire a sample from a visiting customer and deliver it to a company specializing in genetic analysis.

A company specializing in gene analysis may analyze a sample received from a medical institution to calculate genetic analysis information, and transmit the calculated genetic analysis information to a medical institution.

A medical institution can deliver the genetic analysis information received from a genetic analysis specialist to the insurance guarantee analysis server.

The insurance guarantee analysis server may analyze the customer's genetic analysis information received from the medical institution to analyze the insurance guarantee fund through the customer's machine drug insurance subscription information.

According to this embodiment, the insurance company can acquire the customer's genetic analysis information only through the medical institution, thereby securing security and reliability.

59 is a diagram conceptually illustrating an insurance guarantee process using a gene according to another embodiment of the present invention.

According to this embodiment, the insurance guarantee analysis server receives the genetic analysis result (S401), the customized diet calculation step (S402) corresponding to the genetic analysis result, and the health improvement program calculation step (S403) corresponding to the genetic analysis result And it may include a result display step (S404).

The insurance guarantee analysis server can present a customized diet and health improvement program according to the customer's genetic analysis result by using a table in which the customized diet and health improvement program for each type of genetic analysis result stored in advance are stored.

According to the present embodiment, customer satisfaction can be increased by providing customized information including customized diet information and health improvement program information based on genetic data for each customer.

Although the embodiments of the present invention have been described above with reference to the accompanying drawings, those of ordinary skill in the art to which the present invention pertains can realize that the present invention can be embodied in other specific forms without changing its technical spirit or essential features. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

100: terminal
300: insurance coverage analysis server
30: Gene analysis company server
70: medical institution

Claims (2)

terminal;
At the request of the terminal, a dedicated application for insurance coverage analysis for insurance coverage analysis is provided, and the required amount of insurance calculated according to the customer's genetic test result and the current calculated according to the customer's machine drug insurance subscription information Analyze the insurance amount and display the insurance insurance related consulting menu using the insurance coverage required amount calculated according to the customer’s genetic test result and the current insurance amount calculated according to the customer’s machine drug insurance subscription information. Insurance guarantee analysis server provided to the terminal through a dedicated analysis application; and
A mobile sample acquisition device for acquiring the customer's genetic sample using a sample kit;
The insurance insurance analysis server,
Receives the customer's disease risk analysis result according to the genetic analysis from the server of a genetic analysis company, collects the machine drug insurance subscription information by inquiring the customer's insurance subscription information, and collects the insurance required amount according to the disease risk analysis result and the When the current coverage amount is insufficient by comparing the current coverage amount according to the machine drug insurance subscription information, insurance design consulting information for adding insurance subscription details to satisfy the difference between the coverage required amount and the current coverage amount is provided to the terminal provided by
The insurance insurance analysis server,
Including; a neural network for extracting context information from input data;
The insurance insurance analysis server,
receiving the evaluation of the application in text form, accumulating and storing the evaluation result text for the application, extracting the stored evaluation result text as learning data,
The neural network is
learning the training data,
The insurance insurance analysis server,
Input the evaluation result text into the neural network to extract context information from the evaluation result text, calculate a rating corresponding to the extracted context information, and guide the calculated rating through an application running in the terminal,
The mobile sample acquisition device,
A movable body with wheels that can move and include a closed booth for medical staff;
a specimen acquisition unit including a transparent window installed on the side of the movable body and a pair of medical gloves protruding from the transparent window;
a holding unit provided in the form of a box with an open upper surface, installed at a predetermined interval from the side of the movable body to the lower end of the specimen acquiring unit, and providing a storage space for a specimen kit acquired by medical staff through the specimen acquiring unit; and
Including; and a lead-out portion which is installed on the upper portion of the movable body and formed so as to be extended to the side of the movable body;
The withdrawal unit,
a bracket installed on the upper part of the movable body and having an internal space;
a pull-out plate accommodated in the inner space of the bracket and formed to be withdrawn from the inner space of the bracket through a side surface of the bracket; and
a driving unit installed on one side of the bracket and operable to withdraw the take-out plate from the inner space of the bracket; and
The withdrawal plate,
a gear bar formed on one side of the take-out plate and gear-coupled with the rotation shaft of the driving unit to convert the rotational force of the driving unit into linear motion to move the take-out plate; and
a groove formed on the outer surface of the take-out plate and formed to accommodate the protrusion formed on the inner surface of the bracket; and
The cradle is
It includes; a circulation unit provided to circulate the air in the internal space on one side wall;
The circulation unit,
an elevating bar formed of a cylinder member so as to be spaced apart from one side wall of the cradle by a predetermined distance, installed to be variable in length in the height direction of the cradle in the inner space of the cradle;
a rotating fan that is rotatably installed at one end of the elevating bar and includes a plurality of wing plates to generate wind in the internal space of the mounting unit; and
A fixing part that is fixedly installed on the outer surface of the one side wall of the holding part through at least one elastic spring in a state spaced apart from the outside of the one side wall of the mounting part by a predetermined distance, and the upper part is connected to the elevating bar through a horizontal bar; including,
The other side wall of the mounting portion,
A rectangular frame portion having a groove formed on the upper portion formed in an internally inserted shape;
a wall part installed in the square frame part; and
and a detachable part for installing the wall part to the square frame part;
The detachable part,
an elevating block located on the upper portion of the rectangular frame portion and forming a groove for inserting the upper portion of the wall portion on one bottom surface; and
Containing; includes a; elevating rod extending from the bottom surface of the elevating block, and forming a portion formed in the shape of a chin at one end;
The groove formed in the upper portion of the square frame portion,
The elevating rod is formed with a width corresponding to the portion formed in the jaw shape of the elevating rod, and the upper inlet portion of the elevating rod is formed in the jaw shape of the elevating rod and the elevating rod and the An insurance coverage analysis system using a gene, formed with a corresponding width.

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