KR101693568B1 - Method, device and computer program for providing insurance service - Google Patents

Abstract

A computer program stored on a computer readable medium is disclosed. The computer program comprising instructions for causing a computer to perform the steps of: mapping one or more predicted disease information that is likely to occur from each of a plurality of physical symptom information and each of the plurality of physical symptom information, Generating first mapping information for mapping the first mapping information to the second mapping information; Generating second mapping information for mapping each of the plurality of predicted disease information and the guarantee insurance information for covering each of the plurality of predicted disease information; Receiving an input for physical symptom information; Generating predicted disease information related to the received physical symptom information based on the first mapping information; And generating insurance guarantee information related to the generated predictive disease information based on the second mapping information.

Description

METHOD, DEVICE AND COMPUTER PROGRAM FOR PROVIDING INSURANCE SERVICE,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a technology for providing an insurance service, and more particularly, to a method of providing an insurance service for assuring disease predicted from physical symptom information of a customer.

As insurance products become diversified and the rider for insurance products becomes subdivided, customers are having difficulty in deciding insurance products.

Korean Patent Publication No. 2002-0013152 discloses an insurance product comparison information providing server system and a method for providing insurance product comparison information.

Moreover, customers generally do not have a good understanding of their health condition and the likelihood of disease outbreaks, and are unable to make insurance choices accordingly. As a result, it is often the case that the patient is not guaranteed for his or her illness, and in many cases, he or she has an insurance product that is not likely to develop due to popular evaluation and recommendation of acquaintance.

Accordingly, there is a need in the art for predicting a disease that can be developed according to physical symptom information, and providing insurance information and coupon information that can cover an incurable disease.

There is also a need in the art for the provision of healthcare information for the prevention and the recommendation of insurance and coupon information to ensure predicted illness.

SUMMARY OF THE INVENTION The present invention has been made in view of the above, and is intended to predict a disease that can be developed according to somatic symptom information.

The present invention is also intended to provide insurance information and coupon information that can cover an incurable disease.

Further, the present invention is to provide health management information on an incurable disease.

According to an embodiment of the present invention for solving the above-mentioned problems, a computer program stored in a computer-readable medium is disclosed. The computer program comprising instructions for causing a computer to perform the steps of: mapping one or more predicted disease information that is likely to occur from each of a plurality of physical symptom information and each of the plurality of physical symptom information, Generating first mapping information for mapping the first mapping information to the second mapping information; Generating second mapping information for mapping each of the plurality of predicted disease information and guarantee insurance information for covering each of the plurality of predicted disease information; Receiving an input for physical symptom information from a customer; Generating predicted disease information related to the received physical symptom information based on the first mapping information; And generating insurance guarantee information related to the generated predictive disease information based on the second mapping information; . ≪ / RTI >

According to an embodiment of the present invention, a server is disclosed. The server comprises: a receiving module for receiving physical symptom information input from a customer; Generating first mapping information for mapping each of a plurality of somatic symptom information and one or more predicted disease information likely to be generated from each of the plurality of somatic symptom information and generating first mapping information for each of the plurality of predicted disease information and each of the plurality of predicted disease information And generates predicted disease information related to the received physical symptom information based on the first mapping information, and generates second prediction information on the second mapping information based on the first mapping information, A control module for generating insurance guarantee information related to the predicted disease information; And a memory module that stores the first mapping information and the second mapping information.

According to an embodiment of the present invention, a user terminal is disclosed. The user terminal includes: a user input unit for inputting an input for physical symptom information; Generating first mapping information for mapping each of a plurality of somatic symptom information and one or more predicted disease information likely to be generated from each of the plurality of somatic symptom information and generating first mapping information for each of the plurality of predicted disease information and each of the plurality of predicted disease information And generates predicted disease information related to the received physical symptom information based on the first mapping information, and generates second prediction information on the second mapping information based on the first mapping information, A control unit for generating insurance guarantee information related to the generated predictive disease information based on the insurance guarantee information; And a memory module that stores the first mapping information and the second mapping information.

According to an embodiment of the present invention, a user terminal is disclosed. The user terminal comprising: a user input for receiving an input for physical symptom information; A transmitter for transmitting the received physical symptom information to a server; And a receiving unit for receiving, from the server, insurance guarantee information related to predicted disease information generated based on one or more predicted disease information and second mapping information generated based on the first mapping information, Wherein the information maps each of the plurality of somatic symptom information and the one or more predicted disease information that is likely to arise from each of the plurality of somatic symptom information and the second mapping information comprises a plurality of predicted disease information, Map coverage insurance information to cover each piece of information.

According to an embodiment of the present invention, it is possible to predict a disease that can be developed according to the physical symptom information.

In addition, the present invention can provide insurance information and coupon information that can cover an incurable disease.

In addition, the present invention can provide health management information on an incurable disease.

Various aspects are now described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following examples, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it will be apparent that such aspect (s) may be practiced without these specific details. In other instances, well-known structures and devices are shown in block diagram form in order to facilitate describing one or more aspects.
Figure 1 illustrates an overall system in accordance with an embodiment of the present invention.
FIG. 2 illustrates components of a customer terminal according to an embodiment of the present invention.
3 illustrates components of a disease prediction server according to an embodiment of the present invention.
FIG. 4 is a flowchart illustrating a method for predicting a disease according to a customer's symptom and providing insurance guarantee information and health management information according to an embodiment of the present invention.
FIG. 5 illustrates an exemplary table for providing disease prediction, insurance coverage information, and health care information according to customer symptoms, according to an embodiment of the present invention.
FIG. 6 illustrates a screen of a user interface that can be output from a user terminal according to an exemplary embodiment of the present invention.

Various embodiments and / or aspects are now described with reference to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. However, it will also be appreciated by those of ordinary skill in the art that such aspect (s) may be practiced without these specific details. The following description and the annexed drawings set forth in detail certain illustrative aspects of one or more aspects. It is to be understood, however, that such aspects are illustrative and that some of the various ways of practicing various aspects of the principles of various aspects may be utilized, and that the description set forth is intended to include all such aspects and their equivalents.

In addition, various aspects and features will be presented by a system that may include multiple devices, components and / or modules, and so forth. It should be understood that the various systems may include additional devices, components and / or modules, etc., and / or may not include all of the devices, components, modules, etc. discussed in connection with the drawings Must be understood and understood.

As used herein, the terms "an embodiment," "an embodiment," " an embodiment, "" an embodiment ", etc. are intended to indicate that any aspect or design described is better or worse than other aspects or designs. . As used herein, the terms 'component,' 'module,' 'system,' 'interface,' and the like generally refer to a computer-related entity and include, for example, hardware, It can mean software.

In addition, the term "or" is intended to mean " exclusive or " That is, it is intended to mean one of the natural inclusive substitutions "X uses A or B ", unless otherwise specified or unclear in context. That is, X uses A; X uses B; Or when X uses both A and B, "X uses A or B" can be applied to either of these cases. It should also be understood that the term "and / or" as used herein refers to and includes all possible combinations of one or more of the listed related items.

It is also to be understood that the term " comprises "and / or" comprising " means that the feature and / or component is present, but does not exclude the presence or addition of one or more other features, components and / It should be understood that it does not. Also, unless the context clearly dictates otherwise or to the contrary, the singular forms in this specification and claims should generally be construed to mean "one or more. &Quot;

In addition, the terms "user" and "customer" as used herein may often be used interchangeably. Further, the terms "data" and "information ", as used herein, are often used interchangeably. In addition, the terms "terminal", "terminal" and "device", as used herein, are often used interchangeably.

Figure 1 illustrates an overall system in accordance with an embodiment of the present invention.

According to an aspect of the present invention, a disease prediction and guarantee enhancement service according to customer's symptoms may be provided by the user terminal 100, the server 110, and the network 120, as shown in FIG.

A user terminal 100 according to an embodiment of the present invention may be a user equipment, a mobile, a PC, a mobile phone, a kiosk, a cellular phone, a cellular, a cellular terminal, a subscriber unit, a subscriber station, , A PDA, a remote terminal, an access terminal, a user agent, a portable device having a wireless connection capability, any device capable of using a wireless connection mechanism, such as a wireless modem, and the like.

Further, the components constituting the system shown in Fig. 1 are exemplary, and only a part of the components may constitute the system, or additional component (s) other than the components may be included in the system. For example, an external server (not shown) other than the server 110 may be included.

The network 120 can connect a server 120 with a user terminal such as a commercially available UE 100 such as a cellular phone 100, a tablet 100, a PC 100, a PDA, a portable multimedia device, have. The exchange of information between each terminal and the server can be performed according to a predetermined communication protocol.

Furthermore, the network connecting each of the servers and the user terminal device does not necessarily have to be a single network. The network 120 may be a LAN, a WAN, an intranet or the Internet, or a combination thereof, which enables communication between a plurality of computing devices. Moreover, the network may include a wireless, wired, or wireless wired connection. In addition, technologies such as VPN can be used to enhance security.

More specifically, the network 120 presented herein may be implemented in a public switched telephone network (PSTN), x digital subscriber line (xDSL), rate adaptive DSL (RADSL), multi rate DSL (MDSL) DSL), Universal Asymmetric DSL (UADSL), High Bit Rate DSL (HDSL), and Local Area Network (LAN).

In addition, the network 120 may be a CDMA (Code Division Multiple Access), a TDMA (Time Division Multi Access), an FDMA (Frequency Division Multiple Access), an OFDMA (Orthogonal Frequency Division Multiple Access) FDMA) and other systems.

The network 120 according to an aspect of the present invention may be configured without discriminating the communication modes such as wired and wireless, and may be connected to various communication networks such as a personal area network (PAN), a wide area network (WAN) . In addition, the network 120 may be a known World Wide Web (WWW) or may use a wireless transmission technology used for short-distance communication such as infrared (IrDA) or Bluetooth have.

Additionally, the techniques described herein can be used in other networks as well as the above-mentioned networks.

Hereinafter, components of the user terminal 100 and the server 110 will be described in detail.

Figure 2 illustrates components of a user terminal in accordance with an embodiment of the present invention.

The user terminal 100 described below collectively refers to UEs that can be connected to a network such as a mobile phone, a tablet, a PDA, a notebook, a PC, and a portable multimedia device.

The user terminal 100 may include an input module 201, a transmission module 203, a display module 207, and a reception module 209. The above-described components are not essential components of the user terminal 100, so that a user terminal having more or fewer components may be implemented. For example, the user terminal 100 may further include a control module 205. This will be described later.

In addition, the user terminal 100 may further include an Internet module (not shown) and a memory module (not shown).

According to an embodiment of the present invention, the physical symptom information of the customer can be inputted through the input module 201 of the user terminal 100. The input module 201 may differ depending on the specification of the user terminal 100 and / or the type of the user terminal. For example, in the case of a PC, at least one of a mouse and a keyboard may be an input module 201. Alternatively, in the case of a mobile phone, at least one of the touch pad and the microphone may be the input module 201.

The transmitting module 203 of the user terminal 100 may transmit data necessary for a program for providing disease prediction and assurance enhancement services according to an embodiment of the present invention. For example, the server 110 may transmit the physical symptom information of the customer received from the customer. The physical symptom information may include minor symptom information such as 'a mouse on the leg', 'a heart beating' or 'breathing is not good'.

Further, the transmitting module 203 of the user terminal 100 may include a wired / wireless Internet module for network connection.

For example, WLAN (Wireless LAN) (Wi-Fi), Wibro (Wireless broadband), Wimax (World Interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access) As another example, a digital subscriber line (XDSL), a fiber to the home (FTTH), and a power line communication (PLC) may be used as the wired Internet technology.

In addition, the transmission module 203 may transmit and receive data to and from an electronic device including a short-range communication module, including a short-range communication module. Bluetooth, Radio Frequency Identification (RFID), infrared data association (IrDA), Ultra Wideband (UWB), ZigBee, and the like can be used as a short range communication technology.

In one aspect of the present invention, the data transmitted via the sending module 203 may be stored in a memory module (not shown), or may be transmitted to other electronic devices in close proximity via a local communication module.

Additionally, the user terminal 100 may further include a control module 205. [ Through the control module 205, the overall operation of the terminal can be controlled. It may also perform at least some of the roles of the server 110 described in the specification.

More specifically, or alternatively, the control module 205 of the user terminal 100 may serve as the server 110, so that each of the plurality of physical symptom information and each of the plurality of physical symptom information May generate first mapping information that maps one or more predicted disease information that may be predictable. In addition, second mapping information for mapping each of the plurality of predicted disease information and the guarantee insurance information for covering each of the plurality of predicted disease information may be generated. Further, based on the first mapping information, prediction disease information related to the received physical symptom information can be generated. And generate insurance guarantee information related to the generated predictive disease information based on the second mapping information.

The display module 207 may output information processed by the user terminal 100 and the server 110 connected to the user terminal 100 and the network 120. According to an embodiment of the present invention, the display module 207 may output various information (for example, physical symptom information) input through the input module 201. Further, various pieces of information (for example, predicted disease information, insurance guarantee information, health care information, etc.) received through the receiving module 209 may be output through the display module 207. Additionally, the display module 207 may display all information that can be displayed on the terminal.

The display module 207 may be a liquid crystal display (LCD), a thin film transistor-liquid crystal display (TFT LCD), an organic light-emitting diode (OLED), a flexible display display, and a 3D display.

The receiving module 209 of the user terminal 100 may receive data to provide disease prediction and assurance enhancement services, according to one embodiment of the present invention. For example, the predicted disease information generated in association with the physical symptom information of the customer may be received. Alternatively, the insurance guarantee information generated in association with the predicted disease information may be received. Further, health management information associated with predicted disease information can be received through the receiving module 209. [

For this purpose, the receiving module 209 of the user terminal 100 may include any Internet module for network access. Since the Internet module has been described above, it is omitted.

In addition, the transmitting module 203 and the receiving module 209 may be collectively referred to as a " communication module ".

Further, the user terminal 100 may further include a memory module (not shown). Accordingly, various generation information including mapping information (e.g., first mapping information, second mapping information, and third mapping information) can be stored in a memory module (not shown). For example, various information for providing disease prediction and insurance assurance services may be stored.

Further, in a further aspect of the present invention, a memory module (not shown) may store a program for operation of the control module 205. In addition, it may store various data provided from the user terminal 100 and / or an external server. Further, it can provide the requested data according to the request of other components.

Figure 3 illustrates components of a server in accordance with an embodiment of the present invention.

3, the server 110 may include a receiving module 301, a memory module 303, a control module 305, and a transmitting module 307. The components shown in FIG. 3 are not essential, and a server 110 having more or fewer components may be implemented. For example, the server 110 may further include an Internet module (not shown).

The receiving module 301 of the server 110 according to an aspect of the present invention can connect the user terminal 100 and the server 110 through a wire / wireless communication system.

The receiving module 301 of the server 110 according to the embodiment of the present invention can receive the physical symptom information of the customer inputted from the user terminal 100. [ In addition, various information (e.g., customer information, location information of the user terminal, premium insurance information, etc.) for providing disease prediction and insurance guarantee services can be received.

Further, the receiving module 301 may receive customer's insurance subscription information from an external server, according to a further embodiment of the present invention. Alternatively, the receiving module 111 may receive the customer's insurance premium guarantee information from the external server. This will be described later with reference to FIG.

The memory module 303 according to an embodiment of the present invention may store various information for providing disease prediction and insurance guarantee service. For example, first mapping information that maps predictive disease information associated with physical symptom information, second mapping information that maps insurance guarantee information associated with predicted disease information, and third mapping that maps health management information associated with predicted disease information Information can be stored. The first mapping information, the second mapping information, and the third mapping information will be described later with reference to FIG. 4 and FIG.

The above-described information is merely an example, and various information can be included in the present invention.

In a further aspect of the present invention, the memory module 303 may store a program for operation of the control module 305. In addition, it may store various data provided from the user terminal 100 and / or an external server. Further, it can provide the requested data according to the request of other components. The above-described information is merely an example, and the memory module 113 may store various information for providing disease prediction and insurance guarantee services.

The memory module 113 may be a flash memory type, a hard disk type, a multimedia card micro type, a card type memory (for example, SD or XD memory) (Random Access Memory), a static random access memory (SRAM), a read-only memory (ROM), an electrically erasable programmable read-only memory (EEPROM), a programmable read-only memory (PROM) A magnetic disk, and / or an optical disk.

The program for providing the group insurance product may operate in association with a web storage that performs a storage function of the memory module 113 of the financial server 110 on the Internet.

In one aspect of the present invention, data received via the receiving module 301 may be processed through the control module 305. [

The control module 305 may generate first mapping information for mapping one or more predicted disease information that may be caused from each of a plurality of physical symptom information and each of the plurality of physical symptom information. Further, the control module 305 can generate second mapping information that maps guaranteeing insurance information for covering each of the plurality of predicted disease information and each of the plurality of predicted disease information.

According to an embodiment of the present invention, when the physical symptom information of the customer is received through the reception module 301, the control module 305 determines, based on the first mapping information, a prediction related to the received physical symptom information Disease information can be generated. Also, based on the second mapping information, insurance guarantee information related to the generated predictive disease information can be generated.

According to one embodiment of the present invention, the control module 305 may generate third mapping information that maps one or more health care information for prevention against each of a plurality of predicted disease information and a plurality of predicted disease information, respectively . Further, based on the third mapping information, health management information related to the generated predictive disease information may be generated.

The first mapping information, the second mapping information, and the third mapping information are collectively referred to as 'mapping information'. The above-described mapping information may be generated through the control module 305 and stored in the memory module 303. [

The predicted disease information, insurance guarantee information, and health care information generated based on the physical symptom information of the customer can be transmitted to the user terminal 100 through the transmission module 307. [ To this end, the receiving module 301 and the transmitting module 307 of the server 110 may include a wired / wireless Internet module for connecting to the network 120.

For example, WLAN (Wireless LAN) (Wi-Fi), Wibro (Wireless broadband), Wimax (World Interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access) As another example, a digital subscriber line (XDSL), a fiber to the home (FTTH), and a power line communication (PLC) may be used as the wired Internet technology.

In addition, the receiving module 301 may transmit and receive data to and from an electronic device including a short-range communication module, including a short-range communication module. Bluetooth, Radio Frequency Identification (RFID), infrared data association (IrDA), Ultra Wideband (UWB), ZigBee, and the like can be used as a short range communication technology.

The various embodiments described herein may be embodied in a recording medium readable by a computer or similar device using, for example, software, hardware, or a combination thereof.

According to a hardware implementation, the embodiments described herein may be implemented as application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays May be implemented using at least one of a processor, controllers, micro-controllers, microprocessors, and other electronic units for performing other functions. In some cases, The embodiments described may be implemented by the control module 305 itself.

According to a software implementation, embodiments such as the procedures and functions described herein may be implemented with separate software modules. Each of the software modules may perform one or more of the functions and operations described herein. Software code can be implemented in a software application written in a suitable programming language. The software code is stored in the memory module 303 and can be executed by the control module 305. [

As described above, the memory module 303 is provided with first mapping information that maps predicted disease information associated with physical symptom information, second mapping information that maps insurance guarantee information associated with predicted disease information, and health management And the third mapping information to which the information is mapped can be stored. The above-described information is only an example, and the memory module 303 may store various information for providing disease prediction and insurance guarantee services.

FIG. 4 is a flowchart illustrating a method for predicting a disease according to a customer's symptom and providing insurance guarantee information and health management information according to an embodiment of the present invention.

Each step of the flowchart shown in FIG. 4 is not essential and some steps may be omitted or added as needed.

In addition, each of the steps presented below may be performed by the server 110 or the user terminal 100 or a combination thereof according to an aspect of the present invention. Hereinafter, the steps of the method shown in FIG. 4 are illustrated as being performed in a financial server according to an aspect of the present invention. For this, the server 110 may communicate with the user terminal 100 through the transmission module 307 and the reception module 301. [

To provide disease prediction and assurance enhancement services, first mapping information may be generated (401). The first mapping information is information obtained by mapping one or more predicted disease information that may occur from each of a plurality of physical symptom information and each of the plurality of physical symptom information. That is, the process of "physical symptom information → predicted disease information" is referred to.

Physical symptom information may include minor physical symptoms such as palpitation, chest pain, syncope, abdominal pain, jaundice, weight loss, insomnia, post-meal pain, vomiting, nausea,

The predicted disease information may include at least one of the customer's health status, disease assessment information, predicted disease name, general information of the predicted disease, duration of the onset of the disease, and basis information on the onset of the disease.

That is, the predicted disease information can provide the health state of the customer determined based on the received physical symptom information. The health state may be in the form of at least one of quantitative data and qualitative data. Alternatively, quantitative data and qualitative data may be provided in combination. For example, the health status can be expressed as 'very good', 'attention', '100%', '3 Level', or the like, or can be provided with the avatar. For example, if a customer is in poor health, an avatar running to the hospital may be created to help the customer ventilate.

In addition, the disease assessment information may be a risk for the predicted disease. For example, 'Special attention is required', 'Risk', etc. may be displayed. Or 'animation blinking red'. Furthermore, the disease assessment information may include other disease information that may be derived from the predicted disease.

As described above, the first mapping information is obtained by mapping each of the plurality of physical symptom information and one or more predicted disease information that may be caused from each of the plurality of physical symptom information.

For example, the first mapping information may include predictive disease information corresponding to nausea (area), such as acute appendicitis, acute cholecystitis, intestinal obstruction, hypothyroidism, hypothyroidism, uraemia, diabetic ketoneemia, caesarean section, acute peritonitis, Mental illnesses of the gastrointestinal tract, Meniere's disease, acute meningitis, and acute myocardial infarction.

As another example, the first mapping information may include at least one of abdominal abscess, feldspar, intestinal obstruction, hernia, uremia, hypokalemia, intraperitoneal inflammation, intragranular gas (irritable bowel syndrome) in response to physical symptoms called "abdominal distension." Chronic constipation, heart failure, nephrotic syndrome, obesity, and intestinal vascular disease.

That is, if the user's physical symptom information is input from the user based on the generated first mapping information, the predicted disease information corresponding to the inputted physical symptom information of the user may be generated (409).

For example, when physical symptom information such as "nose bleeding often" is received, health management information such as "nosebleed, hypertension, nasal septal deviation, blood coagulation disorder" may be generated. This allows the customer to know about his or her health condition and diseases that are likely to develop.

In accordance with a further embodiment of the present invention, the server 110 may store analogous words corresponding to the somatic symptom information in the memory module 303. For example, the analogy of 'kopei' can be stored as 'frequently kopeptic', 'frequent nosebleeds', 'frequent nosebleeds', 'non bleeding', 'nosebleeds' and 'epistaxis' .

Alternatively, a UI for receiving somatic symptom information may be provided. A list of somatic symptom information frequently generated through the UI is output and a user selection input for each of the somatic symptom information included in the outputted symptom information list can be received.

Additionally, the server 110 may receive family history from a customer and map one or more predicted disease information that may be on the basis of, at least in part, the family history input.

According to a further embodiment of the present invention, second mapping information may be generated (403).

The second mapping information refers to information obtained by mapping each of the plurality of predicted disease information and the guarantee insurance information for covering each of the plurality of predicted disease information. That is, follow the process of '(Information on physical symptoms →) prediction disease information → guarantee insurance information'.

Therefore, it is possible to prevent the case where the insurance choice can not be made due to a lack of identification of the patient's health condition and a disease that may possibly be caused. That is, according to one embodiment of the present invention, a customer can obtain predicted disease information on his or her body symptom information, and also can receive a guarantee of a disease with a high possibility of onset by receiving guarantee insurance information.

The guarantee insurance information may include at least one of the recommended insurance product information and the recommendation insurance special information. For example, based on the second mapping information, the server 110 may recommend an insurance product that can cover the user's predicted disease corresponding to the user's predicted disease information. Or, if the customer is subscribed to the integrated insurance product, he may provide the coupon information for covering the predicted disease information. For reference, the unified insurance is an insurance that bundles various guarantees guaranteed by different insurance items into one product, so that additional customers can be designated even if the registered customers have insurance.

That is, the step of analyzing the insurance policy and the insurance certificate corresponding to the customer insurance information may be further performed. In order to do so, the customer can input the customer insurance information (for example, insurance name, insurance guarantee content, insurance payment period, insurance payment history, etc.) Or from the memory module 303 of the server 110 and / or an external server (not shown), with the consent of the customer.

According to an embodiment of the present invention, third mapping information may be generated (405).

The third mapping information is at least one health management information for preventing each of the plurality of predictive disease information mapped to each of the plurality of predictive disease information. That is, it is a process of '(information on physical symptoms →) prediction disease information → health management information'.

More specifically, health care information may include information on recommended supplements, related health articles, relevant health articles, health information, disease prevention information, first aid information related to disease predicted onset, effective food information on disease healing, Exercise method information, hospital and pharmacy information by region, hospital evaluation information, and vaccination information.

For example, exercise method information that is effective in healing a disease can be provided as a moving picture. In addition, the first aid information related to a disease predicted to be onset may be provided in animation and pictures. Furthermore, by providing the quiz for the first aid information periodically, it can help the customer to learn and learn repeatedly.

In addition, local hospital and pharmacy information can be provided based on customer input. For reference, hospital and pharmacy information near the user may be automatically provided by receiving the location identification information from the user terminal 100.

For example, healthcare information corresponding to 'diabetes' is recommended to 'eat regular meals and snacks', 'interval between meals and snacks should not exceed 3 ~ 4 hours', fibrin is delayed absorption of sugars It will help you to control your blood sugar and it will help you feel hunger, so you will be consuming foods that are high in fiber, "" You should use lots of uncooked grains or grains, "and" You should eat low fat milk rather than milk. " have.

The above-described steps 401, 403, and 405 may be previously generated and stored in the memory module 303 of the server 110 to provide disease prediction and guarantee enforcement services. The first mapping information, the second mapping information, and the third mapping information are collectively referred to as 'mapping information'. That is, the mapping information may be generated and stored before the body symptom information is received from the user (400).

If the input of the physical symptom information from the customer is received (407), predictive disease information related to the received physical symptom information is generated based on the first mapping information generated in step 401 and stored in the memory module 303 (409).

In addition, the insurance guarantee information related to the generated predictive disease information may be generated based on the second mapping information generated through the step 403 and stored in the memory module 303 (411).

In addition, health management information related to the generated predictive disease information may be generated based on the third mapping information generated through step 405 and stored in the memory module 303 (step 413).

Step 409, step 411, and step 413 will be described later in FIG.

Further, the predicted disease information, the insurance guarantee information, and the health management information based on the information generated by the steps 409, 411 and 413, that is, the customer symptoms inputted from the customer, can be transmitted to the user terminal as described above (415).

More specifically, the above-described information consists of at least one of quantitative data and qualitative data. Quantitative data is data whose data is expressed numerically. Qualitative data is not expressed in numerical terms but can be expressed in terms of words. Accordingly, the above-described information can be provided as a table, a graph, a chart, etc. according to the type of information to be provided. In addition, it can be provided as a pop-up window with script, script, picture, voice, video and so on.

In a further aspect of the present invention, the server 110 may automatically or periodically transmit information (e.g., health care information) related to customer symptoms entered into the user terminal. This can help the user to have periodic health care. This will be described later with reference to FIG.

Further, some of the health management information may be transmitted to the user terminal 100 when new news is generated. For example, when a new article related to the customer predicted disease information is published, summary information on the article can be transmitted to the client terminal.

The flowchart shown in FIG. 4 is exemplary only, and in accordance with an aspect of the present invention, some of the steps shown in FIG. 4 may be omitted and additional steps may also be included.

For example, grouping of customers may be included, based at least in part on the somatic symptom information. In addition, a step of creating a platform for sharing information among the grouped customers may be included.

The criteria for grouping customers according to further embodiments of the present invention may be based, at least in part, on the healthcare information rather than the physical symptom information. That is, further grouping of customers may be performed based at least in part on health care information. Additionally, a step of creating a platform for sharing information between grouped customers may be further performed.

The above-described platform may be, for example, a messenger. Alternatively, the platform may be a bulletin board for grouped customers. Customers grouped through the platform may exchange various information corresponding to the physical symptom information (e.g. nutritional recommendation and new procedure sharing, etc.). Alternatively, information associated with the insurance product (e.g., customer ratings for the insurance product recommended by the server 110, etc.) may be exchanged.

According to a further embodiment of the present invention, in response to the predicted disease information, further step of generating case information for the other customer receiving the insurance money may be performed.

FIG. 5 illustrates an exemplary table for providing disease prediction, insurance coverage information, and health care information according to customer symptoms, according to an embodiment of the present invention.

Referring to FIG. 5, the disease prediction, insurance guarantee information, and health care information provision according to the customer's symptoms may be provided in the process of 'physical symptom information → predicted disease information → insurance guarantee information and / or health management information' Can be intuitively confirmed.

The physical symptom information received from the customer may include minor symptoms (500). For example, it may include not sleeping well (501), chest pounding (503), hysteresis (505), shortness of breath (507) and temporary paralysis (509).

According to an embodiment of the present invention, the predictive disease information of the customer can be generated through the first mapping information based on the minor symptom 500 (i.e., physical symptom information).

5, physical symptom information of a patient who does not sleep well (501), a throbbing heart (503), a handjob (505), a breathing difficulty (507) and a temporary paralysis (509) The predicted disease information corresponding to the 'embryo 503', the predicted disease information corresponding to 'the embryo 505', and the predicted disease information corresponding to 'the embryo 505' Predicted disease information corresponding to breath shortness 507 'and predicted disease information corresponding to' Temporary paralysis 509 'may be generated.

Optionally or alternatively, only common predictive disease information among a plurality of predictive disease information corresponding to each of the above-described physical symptom information may be provided. For example, the predicted disease information corresponding to the above-mentioned 'not sleeping well 501', chest throbbing 503, hysteresis 505, breathing tenderness 507, and temporal paralysis 509 ' Thyroid function enhancement 511, arrhythmia 513, and periodic muscle paralysis 515 may be provided.

 According to an embodiment of the present invention, health management information and insurance guarantee information 520 corresponding to predicted disease information 510 may be generated.

As described above, since the hyperthyroid function 511, the arrhythmia 513, and the periodic muscle paralysis 515 are generated as the predicted disease information 510 corresponding to the minor symptom 500 (that is, the physical symptom information) Health management information and insurance guarantee information 520 may be generated.

5, recommendations for omega-3 fatty acids (521), recommendations for vegetable oils rather than animal oils (523), recommendations for acute myocardial infarction rituals (525), heart disease conferences (angina pectoris, acute ischemic heart disease, ) Recommendation 527, small cancer, recommendation 529 for thyroid cancer, and recommendation 531 for thyroid diagnosis.

As described above, the disease prediction, insurance guarantee information, and health care information according to the customer's symptoms according to the embodiment of the present invention is a process of 'physical symptom information → predicted disease information → insurance guarantee information and / or health management information' You can follow. Through this, the customer can check the health condition that he / she was not aware of and predict disease. In addition, you may be provided with information to obtain insurance coverage for potentially ill diseases. Therefore, among various insurance products, it is possible to select an insurance product that matches the health condition of the user. In addition, by providing health management information based on the customer's predicted disease information, it can help the customer to prevent the disease and to live a healthy life.

FIG. 6 illustrates a screen of a user interface that can be output from a user terminal according to an exemplary embodiment of the present invention.

Based on the generated predictive disease information, at least a part of the health management information may be transmitted to the user terminal on a predetermined period basis.

Referring to 600 of FIG. 6, it is recommended that the health care information be inspected for 'liver cancer markers and ultrasound. You may include health screening information such as 'Would you like to make a reservation with @@ hospital?'

Furthermore, the health care information may include information on recommended supplements, related health articles, related health articles, health examination information, disease prevention information, first aid information related to disease predicted onset, effective food information for disease healing, Method information, hospital and pharmacy information by region, hospital evaluation information, and vaccination information.

The health care information may also be performed in a method of at least one of a text message, a messenger message, an e-mail, and a link of the information. Alternatively, it may be transmitted in the form of a push notification, as shown in FIG.

Further, when the selection input for the 'example (601)' is received, the telephone can be called to the predetermined hospital's preset telephone number. When the selection input for 'No 603' is received, the message 600 may be retransmitted on a predetermined period basis.

The above description is a screen of a user interface which can be output from a user terminal according to an embodiment of the present invention, and various information can be provided.

In one or more exemplary implementations, the functions presented herein may be implemented in hardware, software, firmware, or a combination thereof. When implemented in software, the functions may be stored on or transmitted via one or more instructions or code on a computer readable medium. Computer-readable media includes computer storage media and communication media including any medium for facilitating transfer of a computer program from one place to another. The storage medium may be any general purpose computer or any available medium that can be accessed by a special purpose computer. By way of example, and not limitation, such computer-readable media can comprise any form of computer readable medium, such as RAM, ROM, EEPROM, CD-ROM or other optical disk storage media, magnetic disk storage media or other magnetic storage devices, But not limited to, a general purpose computer, a special purpose computer, a general purpose processor, or any other medium that can be accessed by a particular processor. In addition, any connection means may be considered as a computer-readable medium. For example, if the software is transmitted from a web site, server, or other remote source over wireless technologies such as coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or infrared radio, and microwave, Wireless technologies such as cable, fiber optic cable, twisted pair, DSL, or infrared radio, and microwave may be included within the definition of such medium. The discs and discs used here include compact discs (CDs), laser discs, optical discs, DVDs, floppy discs, and Blu-ray discs where disc plays the data magnetically, As shown in FIG. The combinations may also be included within the scope of computer readable media.

Those skilled in the art will appreciate that the various illustrative elements, components, logical blocks, modules, and algorithm steps described above may be implemented as electronic hardware, computer software, or combinations thereof. In order to clarify the interchangeability of hardware and software, various illustrative components, blocks, modules and steps have been described in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement these functions in varying ways for each particular application, but such implementation decisions are not necessarily outside the scope of the invention.

The various illustrative logical blocks and modules described in connection with the present disclosure may be implemented or performed with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, Or transistor logic, discrete hardware components, or any combination designed to implement the functions described herein. A general purpose processor may be a microprocessor; In an alternative embodiment, such a processor may be an existing processor, controller, microcontroller, or state machine. A processor may be implemented as a combination of computing devices, such as, for example, a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or a combination of such configurations.

For a hardware implementation, the various illustrative logic, logic blocks, and modules of processing units described in connection with the aspects disclosed herein may be implemented with one or more application specific integrated circuits (ASICs), digital signal processors (DSPs) Such as digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), discrete gate or transistor logic, discrete hardware components, general purpose processors, Controllers, microprocessors, other electronic units designed to perform the functions described herein, or a combination thereof. The general purpose processor may be a microprocessor, but, in the alternative, it may be any conventional processor, controller, microcontroller, or state machine. The processor may also be implemented in a combination of computing devices (e.g., a DSP and a microprocessor, a plurality of microprocessors, a combination of one or more microprocessors in conjunction with a DSP core, or any other suitable configuration). Additionally, at least one processor may include one or more modules capable of implementing one or more of the steps and / or operations described herein.

In addition, various aspects or features described herein may be implemented as a method, apparatus, or article of manufacture using standard programming and / or engineering techniques. Moreover, steps and / or operations of a method or algorithm described in connection with the aspects disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. Additionally, in some aspects, steps or acts of a method or algorithm may be present as a machine-readable medium, or as a combination of at least one or any combination of codes or instructions on a computer-readable medium, It can be integrated into computer program stuff. The term article of manufacture as used herein is intended to encompass a computer program accessible from any suitable computer-readable device or medium.

The description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features presented herein.

Claims (13)

A method of providing an insurance service performed by a server,
Generating first mapping information for mapping a specific somatic symptom and a predicted disease that may be caused from the specific somatic symptom on the basis of the somatic symptom information and the family history information;
Generating second mapping information by mapping the prediction disease and insurance information for guaranteeing the prediction disease;
Generating third mapping information by mapping the predicted disease and health management information for preventing the predicted disease;
Receiving physical symptom information and family history information of a customer;
Determining predicted disease information to be mapped with the received physical symptom information and family history information based on the first mapping information;
Determining guarantee insurance information to be mapped with the determined predicted disease information based on the second mapping information;
Generating health management information mapped with the determined predicted disease information based on the third mapping information; And
Generating a user interface for appointing a clinic to a predetermined hospital when the health care information is information suggesting that the clinic is to be treated;
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The step of determining the predicted disease information may include generating health condition information of a customer based on the physical symptom information and generating disease risk information indicating a risk of the predicted disease occurring according to the health condition Including,
The step of determining the guarantee insurance information may further include analyzing the customer's insurance premium information to generate additional insurance product or coupon information,
A method of providing insurance services performed by a server.
The method according to claim 1,
Generating nearby hospital and pharmacy information based on the location identification information received from the user terminal of the customer;
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A method of providing insurance services performed by a server.
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