KR20230090926A - Device and method of recommneing medical institutions for user's health medical examination based on family medical history - Google Patents

Abstract

Provided is a device method for recommending a medical institution for a user's health medical examination based on family medical history to recommend various health checkup options corresponding to a user's health condition. According to the present invention, the device comprises: a communication unit receiving user information including family history from a user terminal; a medical institution database storing medical institution information received from affiliated medical institution servers; and a control unit generating and providing medical institution recommendation information on the basis of the user information and the medical institution information. The user information includes at least one of family history, physical symptoms, medical history, past health checkup results, and user location. The medical institution information includes at least one of the medical institution's location, examination items, examination cost, status of medical equipment, status of medical staff, questionnaire, and real-time reservation status. The control unit extracts a list of recommended checkup items on the basis of the user information, compares the list of recommended checkup items with the medical institution information to calculate the suitability of the medical institution, and provides and generates the medical institution recommendation information including a predetermined medical institution with a high suitability of the medical institution.

Description

Apparatus and method for recommending family history-based health examination medical institutions

The following description relates to an apparatus and method for recommending a user-customized health examination medical institution based on family history. More specifically, based on various user information obtainable from the user and medical institution information obtainable from affiliated medical institutions, customized health checkup information is provided to the user and medical institutions capable of performing the health checkup are recommended, so that the user has many optional health checkup items. Make it easy for you to choose the one that's right for you. It recommends suitable medical institutions to users and provides reservation services so that real-time reservations can be made, thereby contributing to securing opportunities for user selection and improving convenience, and providing marketing opportunities for attracting customers and additional medical examinations to medical institutions.

BACKGROUND OF THE INVENTION With the increase in life expectancy and aging, various diseases such as various diseases requiring continuous management and chronic diseases such as cancer, hypertension, and diabetes are increasing. There are a number of diseases that are generally known to have genetic factors such as family history as important for diseases such as cancer, and the influence of life patterns such as stress is also known as a cause.

Even though health insurance is gradually expanding as a government policy project, medical personnel and patients often do not know the scope of benefits, and due to the provision of complex and uniform checkup items, necessary checkup items and checkup medical institutions suitable for their condition There are few patients who choose to use health checkups efficiently.

Accordingly, there is an increasing need to provide information on customized health examinations tailored to each patient's situation.

In addition, there is an increasing need for an application capable of recommending institutions that can provide convenient health checkup services based on user location information and recommending discount services for salaried/non-salary items from institutions.

Republic of Korea Patent Publication No. 10-2018-0055098 (published on May 25, 2018)

The following embodiments may provide a device and method for recommending a user-customized health examination medical institution based on user information such as family history.

In addition, the following embodiments may provide a program that provides a customized discount and recommendation service according to a prior contract with a health examination institution. Various health examination options corresponding to the user's health condition may be recommended.

An apparatus for providing health examination medical institution recommendation information based on family history, comprising: a communication unit for receiving user information including family history from a user terminal; a medical institution database for storing medical institution information received from an affiliated medical institution server; And a control unit generating and providing medical institution recommendation information based on the user information and the medical institution information, wherein the user information includes at least one of family history, physical symptoms, medical history, past health examination results, and user location, , The medical institution information includes at least one information of the location of the medical institution, examination items, examination cost, medical equipment status, medical staff status, medical questionnaire, and real-time reservation status, and the control unit recommends examination items based on the user information. Based on family history, characterized by extracting a list, comparing the list of recommended examination items and the medical institution information to calculate the fitness of the medical institution, and generating and providing medical institution recommendation information including a predetermined medical institution with a high medical institution fitness. Accordingly, an apparatus for providing health examination medical institution recommendation information is provided.

In addition, the control unit extracts examination items having a high correlation with each user information by referring to a database related to the degree of correlation between each information included in the user information and each examination item, and A list of recommended examination items may be generated by merging examination items extracted for each examination item, and the list of recommended examination items may also include recommendation degree information determined according to an overlapping degree of extraction of each examination item.

Further, the communication unit receives user feedback on the extracted list of recommended examination items from the user terminal, and the control unit reprocesses the extracted list of recommended examination items based on the user feedback, and the reprocessed recommended examination items list The medical institution recommendation information may be generated based on a list and a user location of the user information.

Also, the control unit may input the user information into a pre-trained artificial neural network-based model to extract the list of recommended examination items.

In addition, the artificial neural network-based model is learned using user information and health examination result information corresponding to the user information, and the health examination result information may be received from the medical institution server.

The accompanying drawings for use in describing the embodiments of the present invention are only some of the embodiments of the present invention, and for those skilled in the art (hereinafter referred to as "ordinary technicians"), the invention Other figures can be obtained on the basis of these figures without additional effort leading to.
1 is a diagram for explaining the operation of an apparatus for recommending a family history-based health examination institution according to an embodiment.
2 is a diagram for explaining an apparatus for recommending a family history-based health examination institution using an artificial neural network according to an embodiment.
3 to 6 illustrate examples of service screens provided by a health examination institution recommendation device according to an embodiment.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The following detailed description of the present invention refers to the accompanying drawings, which illustrate specific embodiments in which the present invention may be practiced in order to make the objects, technical solutions and advantages of the present invention clear. These embodiments are described in detail to enable those skilled in the art to practice the present invention.

Throughout the description and claims of the present invention, the word 'comprise' and variations thereof are not intended to exclude other technical features, additions, components or steps. In addition, 'one' or 'one' is used to mean more than one, and 'another' is limited to at least two or more.

In addition, terms such as 'first' and 'second' of the present invention are intended to distinguish one component from another, and the scope of rights is limited by these terms unless understood to indicate an order. is not For example, a first element may be termed a second element, and similarly, a second element may be termed a first element.

It should be understood that when an element is referred to as being “connected” to another element, it may be directly connected to the other element, but other elements may intervene. On the other hand, when an element is referred to as being “directly connected” to another element, it should be understood that no intervening elements exist. Meanwhile, other expressions describing the relationship between components, ie, “between” and “directly between” or “adjacent to” and “directly adjacent to” should be interpreted similarly.

In each step, identification codes (eg, a, b, c, etc.) are used for convenience of description, and identification codes do not explain the order of each step unless they inevitably result in logic, and each The steps may occur out of the order specified. That is, each step may occur in the same order as specified, may be performed substantially simultaneously, or may be performed in the reverse order.

Other objects, advantages and characteristics of the present invention will appear to those skilled in the art, in part from this description and in part from practice of the invention. The examples and drawings below are provided as examples and are not intended to limit the invention. Accordingly, details disclosed herein with respect to a particular structure or function are not to be construed in a limiting sense, but are merely representative and provide guidance for those skilled in the art to variously practice the present invention with any detailed structures substantially suitable. It should be interpreted as basic data.

Moreover, the present invention covers all possible combinations of the embodiments presented herein. It should be understood that the various embodiments of the present invention are different, but need not be mutually exclusive. For example, specific shapes, structures, and characteristics described herein may be implemented in one embodiment in another embodiment without departing from the spirit and scope of the invention. Additionally, it should be understood that the location or arrangement of individual components within each disclosed embodiment may be changed without departing from the spirit and scope of the invention. Accordingly, the detailed description set forth below is not to be taken in a limiting sense, and the scope of the present invention, if properly described, is limited only by the appended claims, along with all equivalents as claimed by those claims. Like reference numbers in the drawings indicate the same or similar function throughout the various aspects.

In this specification, unless otherwise indicated or clearly contradicted by context, terms referred to in the singular encompass the plural unless the context requires otherwise. In addition, in describing the present invention, if it is determined that a detailed description of a related known configuration or function may obscure the gist of the present invention, the detailed description will be omitted.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily practice the present invention.

1 is a diagram for explaining an operation of an apparatus 200 for recommending a family history-based health examination institution according to an embodiment.

Referring to FIG. 1 , an apparatus 200 for recommending a health examination institution based on family history according to an embodiment is a computing device including a control unit 230, a communication unit 210, and a medical institution database 220, The detailed configuration is not limited thereto and may further include additional components required for driving.

The health examination institution recommendation device 200 may be connected to the user terminal 100 and the medical institution server 300 through a network to collect various information and provide services. This may be performed by the communication unit 210. The communication department provides wireless Internet services such as WLAN (Wireless LAN), WiFi (Wireless Fidelity) Direct, DLNA (Digital Living Network Alliance), Wibro (Wireless broadband), Wimax (World Interoperability for Microwave Access), HSDPA (High Speed Downlink Packet Access), etc. interfaces and communication interfaces including Bluetooth™, Radio Frequency Identification (RFID), Infrared Data Association (IrDA), Ultra Wideband (UWB), ZigBee, and Near Field Communication (NFC) interfaces. It may include, but is not limited thereto, and may include any wired or wireless interface capable of communicating with the outside.

The communication unit 210 may receive user information including family history from the user terminal 100 . For example, the user information may include information such as the user's family history, physical symptoms, medical history, past health examination results, and the user's location (user's current location, user's residential location, etc.).

User information may be collected or input through the user terminal 100 . The user terminal 100 may receive user information from a user by providing a user interface. This user interface downloads and drives a mobile application provided by the health examination institution recommendation device 200 or the health examination institution recommendation device 200 ) can be provided by accessing the web page of the address provided by

Also, the communication unit 210 may receive medical institution information from the medical institution server and store it in the medical institution database 220 . The medical institution server is a server of affiliated medical institutions, and the communication unit 210 according to an embodiment may periodically receive new medical institution information from the medical institution server and store it.

The medical institution information may include information related to each medical institution, such as locations of affiliated medical institutions, examination items, examination costs, current status of medical equipment possessed, current status of medical staff, medical questionnaire, and real-time reservation status.

The control unit 230 according to an embodiment may generate and provide health examination institution recommendation information by utilizing various types of information obtained through the communication unit 210 . The control unit 230 is a component for controlling the overall operation of the conventional device 200 and may include a processor and a memory for storing programs for processing and controlling the processor. Hereinafter, a specific method performed by an operation between the components included in the health examination institution recommendation device 200, including the control unit 230, will be described.

The health examination institution recommendation device 200 according to an embodiment may extract a list of recommended examination items based on user information and generate medical institution recommendation information based on the extracted list of recommended examination items. Specifically, the health examination institution recommendation device 200 may extract a list of recommended examination items related to the corresponding user information. A database including data related to the figure may be previously possessed, and a list of recommended examination items including examination items having a high degree of relevance to the received user information may be extracted by referring to the database.

For example, if user information includes physical symptoms (headache) and family history (cancer), ophthalmologic examination, blood pressure test, brain CT, brain MRI, brain blood flow ultrasonography (TCD) that are highly related to physical symptoms (headache) , carotid ultrasonography, cerebrovascular examination (MRA), stress test, etc. are extracted, and examinations such as gastric endoscopy, gastric angiography, and cancer gene NGS panel test, which are highly related to family history (stomach cancer), can be extracted. .

In addition, the health checkup institution recommendation device 200 may extract recommended checkup items using past health checkup result information included in user information. For example, if blood pressure has risen above a certain range compared to the results of previous health checkups in recent health checkup results, checkup items such as exercise stress test (GXT), arteriosclerosis test (PWV), echocardiography, coronary artery calcification test (MDCT), etc. can be extracted.

The health checkup agency recommendation device 200 may generate a list of recommended checkup items by combining checkups extracted for each user information. In this case, recommendation degree information indicating a strong degree of recommendation may be determined according to the extraction overlap of each examination item, and the recommendation degree information determined for each examination item may be included in a list of recommended examination items together with the extracted examination items.

The health examination institution recommendation device 200 according to an embodiment may generate and provide medical institution recommendation information based on the generated list of recommended examination items. It is possible to provide the user with a list of recommended checkup items and detailed information on each recommended checkup item, and to provide a list of recommended checkup items and receive feedback from the user to reprocess the list of recommended checkup items and use it to create recommendation information for medical institutions. may be

Thereafter, the health examination institution recommendation device 200 compares the list of recommended examination items with the medical institution information to calculate the medical institution suitability, thereby providing a predetermined medical institution having a high degree of medical institution fitness as the health examination institution recommendation information. The suitability of the medical institution may be calculated by analyzing information of each medical institution based on each examination item of the list of recommended examination items and the degree of recommendation. For example, items such as checkup items, checkup costs, current status of possessed medical equipment, and current status of medical staff of the medical institution may be evaluated to determine the final fitness level of the medical institution. In addition, if there is user location information, the location of the medical institution may be evaluated and reflected in the suitability of the medical institution, and in the case of medical equipment, information such as the number of units owned, function, and year may be considered and evaluated for each grade and reflected.

The health examination institution recommendation device 200 may recommend a predetermined number of medical institution information having a high suitability for medical institutions by transmitting them to the user terminal 100 .

The health checkup institution recommendation device 200 may provide real-time reservation status of the medical institution according to the user's selection of the medical institution, help make a health checkup reservation, and provide a medical questionnaire of the medical institution to provide a service so that the questionnaire can be prepared in advance. can The health examination institution recommendation device 200 may transmit the written questionnaire to the corresponding medical institution server 300 .

After the user completes the health checkup, the health checkup institution recommendation device 200 may receive and provide the health checkup result information delivered from the medical institution server 300 to the user, so that the user can grasp health changes at a glance. It is possible to list health checkup result information by item and provide it to the user.

2 is a diagram for explaining an apparatus 200 for recommending a family history-based health examination institution using an artificial neural network according to an embodiment.

Referring to FIG. 2 , the health examination institution recommendation device 200 according to an embodiment may extract a list of recommended examination items by utilizing a pre-learned artificial neural network-based model, and the extraction model learning device and recommended examination items performing the same It may be configured to include a list extraction device. The health examination institution recommendation device 200 according to an embodiment may be the same device as the health examination institution recommendation device 200 of FIG. 1 .

Referring to FIG. 2 , an extraction model learning apparatus 250 according to an embodiment generates a neural network, trains (or learns) the neural network, or retrains the neural network. It corresponds to a computing device having various processing functions, such as functions. For example, the extraction model learning apparatus 250 may be implemented in various types of devices such as a personal computer (PC), a server device, and a mobile device. can be implemented by

The extraction model learning apparatus 250 may generate the trained neural network 260 by repeatedly training (learning) a given initial neural network. For example, the extraction model learning apparatus 250 according to an embodiment may perform learning using user information and health examination result information corresponding to the user information. Creating the trained neural network 260 may mean determining the neural network parameters. Here, the parameters may include, for example, various types of data input/output to the neural network, such as input/output activations, weights, and biases of the neural network. As the iterative training of the neural network progresses, the parameters of the neural network can be tuned to compute a more accurate output for a given input.

The extraction model learning device 250 may transmit the trained neural network 260 to the recommended examination item list extraction device 270 . The apparatus 270 for extracting a list of recommended examination items may be included in a mobile device, an embedded device, or the like. The device 270 for extracting a list of recommended examination items may be dedicated hardware for driving a neural network, and may be implemented by components within the device 200 for recommending a health examination institution of FIG. 1 .

The apparatus 270 for extracting the list of recommended examination items may drive the trained neural network 260 as it is, or the trained neural network 260 may drive the neural network 280 processed by quantization or the like. For example, the apparatus 270 for extracting a list of recommended examination items according to an embodiment may extract a list of recommended examination items by inputting user information to a pre-learned artificial neural network-based model. The apparatus 270 for extracting the list of recommended examination items that drives the processed neural network 280 may be implemented in a separate and independent device from the apparatus 250 for learning the extraction model. However, it is not limited thereto, and the apparatus 270 for extracting the list of recommended examination items may be implemented in the same device as the apparatus 250 for learning the extraction model.

3 to 6 show examples of service screens provided by the health examination institution recommendation device 200 according to an embodiment. The service screen according to an embodiment may be a screen of an application or a web page provided to the user terminal 100 from the health examination institution recommendation device 200 .

Referring to Figure 3, the health checkup agency recommendation device 200, as well as free national health checkup, kids health checkup, eye health checkup, otolaryngology health checkup, dental health checkup, woman checkup, preliminary couple checkup, gold health checkup, Senior health checkup, VIP health checkup, VVIP health checkup, etc. can be provided.

Referring to FIG. 4 , the health examination institution recommendation device 200 may provide a real-time reservation system for affiliated medical institutions. In addition, by providing a service that provides a window for the national health checkup reservation system to medical institutions, it is possible to generate revenue from a certain portion of the service fee on a monthly basis. Optional checkup items available for additional payment can be advertised additionally, so marketing agency and fees for additional revenue generation can be created.

Referring to FIG. 5 , the health examination institution recommendation device 200 may provide information on each examination item performed by an affiliated medical institution. Information on checkup items of each medical institution includes checkup items that can be performed by affiliated medical institutions, detailed contents of checkups, current status of medical equipment used for each checkup item, and cost of each checkup item, providing accurate information to patients who want to receive health checkups. It is possible to increase user convenience and derive marketing effects by appealing to the need for additional examinations.

Referring to FIG. 6 , the health examination institution recommendation device 200 may receive a health examination consultation application for a corporation or the like. Services such as securing a medical institution that can accommodate a large number of people, such as corporate groups, coordination of schedules, promotion of promotions, etc., can be provided, and a service can also be provided to send a health examination car to the company. In addition, considering the fact that group checkups at designated hospitals near the company are becoming unavailable due to the current increase in telecommuting due to COVID-19, multi-medical institution services can be provided so that each employee can use health checkup services at hospitals near their homes. As the platform connects you with hospitals through consultation with corporations, you can receive commissions for providing affiliate marketing for corporations.

Referring to FIG. 7 , the health examination institution recommendation device 200 may provide an open location-based service. The health checkup institution recommendation device 200 provides a service for finding a nearby health checkup medical institution based on the user's current location, thereby providing information for quicker and easier health checkup reservations.

The embodiments described above may be implemented as hardware components, software components, and/or a combination of hardware components and software components. For example, the devices, methods and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate (FPGA). array), programmable logic units (PLUs), microprocessors, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or provide instructions or data to a processing device. , or may be permanently or temporarily embodied in a transmitted signal wave. Software may be distributed on networked computer systems and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. Computer readable media may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on a computer readable medium may be specially designed and configured for the embodiment or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited drawings, those skilled in the art can apply various technical modifications and variations based on the above. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved.

100 user terminals
200 health examination agency recommendation device
210 Ministry of Communications
220 medical institution database
230 Control
250 extraction model learning device
260 trained neural networks
270 Recommended examination item list extraction device
280 Processed Neural Networks
300 medical institution servers

Claims (5)

In the device for providing health examination medical institution recommendation information based on family history,
a communication unit for receiving user information including family history from a user terminal;
a medical institution database for storing medical institution information received from an affiliated medical institution server; and
A control unit generating and providing medical institution recommendation information based on the user information and the medical institution information;
The user information includes at least one of family history, physical symptoms, medical history, past health examination results, and user location, and the medical institution information includes the location of the medical institution, examination items, examination cost, current status of medical equipment, current status of medical staff, It includes at least one information of medical questionnaire and real-time reservation status,
The control unit extracts a list of recommended examination items based on the user information, compares the list of recommended examination items with the medical institution information to calculate the fitness of the medical institution, and provides medical institution recommendation information including a predetermined medical institution having a high medical institution fitness. Characterized in that it is created and provided,
A device that provides health checkup medical institution recommendation information based on family history. According to claim 1,
The control unit extracts examination items having a high correlation with each user information by referring to a database related to the degree of correlation between each information included in the user information and each examination item, and extracts the respective user information By merging the selected examination items, a list of recommended examination items is created.
The list of recommended examination items includes recommendation degree information determined according to the extraction degree of redundancy of each examination item.
A device that provides health checkup medical institution recommendation information based on family history. According to claim 1,
The communication unit receives user feedback on the extracted list of recommended examination items from the user terminal;
wherein the control unit reprocesses the extracted list of recommended examination items based on the user feedback, and generates the medical institution recommendation information based on the reprocessed list of recommended examination items and a user location of the user information;
A device that provides health checkup medical institution recommendation information based on family history. According to claim 1,
wherein the control unit extracts the list of recommended examination items by inputting the user information to a pre-learned artificial neural network-based model;
A device that provides health checkup medical institution recommendation information based on family history. According to claim 4,
The artificial neural network-based model is learned using user information and health checkup result information corresponding to the user information, and the health checkup result information is received from the medical institution server,
A device that provides health checkup medical institution recommendation information based on family history.

Images