KR20220133539A - System and method for providing medical platform on big data - Google Patents

Abstract

The present invention provides a big data-based medical platform system. More specifically, the present invention relates to a big data-based medical platform system and a method of providing the same, which allow a consumer to easily use accurate information on medical institutions including a hospital, a clinic, and a pharmacy which provide medical services. According to an embodiment of the present invention, special hospital information is provided for a user based on big data analysis, and reservation and counseling can be performed at once after checking a specialist hospital. Moreover, a reservation notification solution is provided in real time for a medical institution to prevent a medical consumer no-show through a reservation payment.

Description

Big data-based medical platform system and method for providing the same

The present invention relates to a big data-based medical platform system, and in particular, a big data-based medical platform system that enables consumers to easily utilize more accurate information about medical institutions including hospitals, clinics, and pharmacies that provide medical services; It relates to the method of providing it.

Unpredictable events and accidents can occur even in ordinary daily life. In particular, in relation to people's lives and health, there is a possibility that a variety of events and accidents may occur, ranging from death due to infection to traffic accidents at large. it may happen

On the other hand, with the development of information and communication technology, portable mobile terminals such as smartphones have become popular, and an environment has been created in which various information can be transmitted and received without being restricted by physical time and space. Applications equipped with functions for providing emergency and medical services in various accident situations are being developed in various forms.

As described above, despite the gradual development of various medical services, the general public, who are medical consumers, have difficulty in obtaining accurate information about hospitals or clinics, which are providers of medical services, and most of them are Medical institutions are judged and selected based on limited information individually obtained through Internet searches.

In particular, the general public should judge the medical course according to their symptoms and search for a medical institution belonging to the relevant medical department and make a reservation, but it is difficult to determine exactly which medical department their symptoms belong to. There is a problem that it is difficult to choose.

In addition, although the general public can find general information about hospitals and specialists through Internet searches using portal sites or search sites, information that cannot be confirmed, unnecessary or exaggerated information due to the rapid increase in the number of search methods or searchers on portal sites It is difficult to identify appropriate specialized hospitals and specialists through advertisements and the like.

In addition, if you want to make a medical appointment request using the mobile terminal application provided by the medical institution, the conventional application does not provide a function to check the medical appointment status of each hospital. There is a limitation in that it is necessary to receive confirmation through a medical institution or to visit a relevant medical institution to check the reservation information received only through an institution terminal operated by the hospital and to make a medical appointment.

Registered Patent Publication No. 10-1873926 (Announcement Date: 2018.07.04.)

The present invention has been devised to solve the above problems, and the present invention extracts a specialized medical institution suitable for a user based on the information analyzed through big data mining and provides information, until a reservation and consultation after confirming a specialist hospital It can be performed at once, and there is a task in preventing medical consumers from no-shows according to reservation payment by providing a real-time reservation notification solution through bidding to medical institutions.

In order to solve the above problems, the big data-based medical platform system according to an embodiment of the present invention is installed in a user terminal, and a request including user information about himself/herself at the current time from the user and desired treatment or consultation contents According to one or more applications that receive information, and the user information and request information transmitted from the application, a disease according to the current user's physical condition is determined to select a plurality of medical subjects, and a specialist in the medical field selected by the user It may include a medical platform server that extracts a plurality of medical institutions to which , and provides recommended information on medical institutions to the application, and requests a medical appointment reservation from a corresponding institution terminal when any one medical institution is selected by the user.

The application includes an information input unit that displays a UI for receiving a plurality of items on a screen, receives the user information and request information from the user through the UI, and transmits it to the medical platform server, the current location of the user terminal an additional information generating unit that generates and transmits additional information to the medical platform server, and displays one or more medical institution list and medical institution service information included in the recommended information provided from the medical platform server on the screen, and any one medical institution may include a medical institution selection unit that transmits the selection result to the medical platform server.

The medical platform server receives a request for treatment or consultation from a register for performing a user or medical institution membership registration procedure, a database for storing registered user information and institutional information, and the application according to a request from a user terminal or an institution terminal. and a reception unit that receives the user information and request information, determines the user's disease according to the transmitted request information, analyzes the user information through machine learning to predict the current user's physical condition, and provides the user for the prediction result. A user's information analysis unit that determines a plurality of medical subjects suitable for When any one medical institution is selected by the recommendation information generation unit provided to the application and the application, a medical appointment is requested to the corresponding medical institution terminal, and when the reservation is approved by the medical institution terminal, reservation information is generated and the application It may include a reservation processing unit to provide.

The user information includes the user's specific disease incidence frequency, user's age, current location, current season, user's gender, user's medical institution visit record, user's search record, user's life pattern, user's occupation, and user's height And it may include one or more of body size including body weight.

The recommendation information generating unit gives a first weight to the extracted plurality of medical institutions according to medical institution service information including location, price, treatment reservation date and time, and average waiting time, A second weight is given according to distance, price order, and availability of medical appointments, and medical institutions are classified into separate lists according to the first and second weights according to the user tendency determined by the user information, and the first or second weights are given. 2 Depending on the weight, the order in which medical institutions appear may be determined and reflected in the recommendation information.

In addition, as a method of providing a big data-based medical platform according to an embodiment of the present invention, (a) an application installed on a user terminal is requested information including user information about itself from the user at the current time, and desired treatment or consultation details receiving an input, (b) the medical platform server determining a disease according to the current user's physical condition according to the user information and request information transmitted from the application, and selecting a plurality of medical subjects, (c) the medical treatment Step, by the platform server, extracting a plurality of medical institutions to which the specialist of the medical field selected by the user belongs and providing recommendation information for the medical institution to the application, (d) when the application selects any one medical institution by the user , notifying the selection result to the medical platform server, (e) the medical platform server requesting a medical appointment reservation for the user to the institutional terminal of the selected medical institution, and (f) the medical platform server from the institution terminal When the reservation approval is returned, it may include the step of notifying the reservation result to the application.

The step (a) may include displaying a UI through which the application receives a plurality of items on a screen, and the application receives the user information and request information from the user through the UI, and the medical platform server one or more medical institutions, wherein the application is included in the recommendation information provided from the medical platform server; Displaying a list and medical institution service information on a screen, and when any one medical institution is selected by the user by the application, transmitting the selection result to the medical platform server.

In the step (c), the medical platform server determines the user's disease according to the transmitted request information, and predicts the current user's physical condition by analyzing the user information through machine learning, the medical platform server A, determining a plurality of medical subjects suitable for a user according to a prediction result; extracting, by the medical platform server, one or more medical institutions to which a specialist of the medical department belongs from institutional information; and the medical platform server extracting It may include generating recommendation information including a list of medical institutions and providing the information to the application.

The user information includes the user's specific disease incidence frequency, user's age, current location, current season, user's gender, user's medical institution visit record, user's search record, user's life pattern, user's occupation, and user's height And it may include one or more of body size including body weight.

In the step (c), a first weight is given to a plurality of medical institutions from which the medical platform server is extracted, according to medical institution service information including a location, a price, a medical appointment date and time, and an average waiting time, assigning a second weight to the medical institution according to the distance from the user, the order of prices, and availability of medical appointments; classifying into a separate list, determining an order in which medical institutions appear according to the first or second weights, and reflecting them in the recommendation information.

According to an embodiment of the present invention, specialized hospital information is provided to users based on big data analysis, and reservations and consultations can be performed at once after confirming a specialist hospital, as well as reservation payment by providing a reservation notification solution to a medical institution in real time It has the effect of preventing the medical consumer no-show.

In addition, there is an effect that the user can save time for selecting and making a reservation for a medical institution by quickly guiding the information of nearby hospitals and the number of medical services by grasping the current user's location in real time.

1 is a diagram schematically showing the overall structure of a big data-based medical platform system according to an embodiment of the present invention.
2 is a diagram showing the structure of an application of a big data-based medical platform system according to an embodiment of the present invention.
3 is a diagram showing the structure of a medical platform server of a big data-based medical platform system according to an embodiment of the present invention.
4 is a diagram illustrating a method for providing a big data-based medical platform according to an embodiment of the present invention.
5 is a diagram schematically illustrating a distribution channel paradigm according to an embodiment of the present invention and the related art.
6A to 6C are diagrams illustrating screens for receiving information about symptoms or desired treatment from a user, provided by the big data-based medical platform system according to an embodiment of the present invention.
7A to 7D are diagrams illustrating screens displayed when providing medical institution service information provided by the big data-based medical platform system according to an embodiment of the present invention.
8 is a diagram illustrating a configuration of a computing device of a medical platform server according to an embodiment of the present invention.

When a part "includes" or "includes" a certain component throughout the specification, this means that other components may be further included, rather than excluding other components, unless otherwise stated. In addition, terms such as "...unit" and "...system" described in the specification mean a unit that processes one or more functions or operations, which are hardware, software, or hardware and a combination of software.

Also, in this specification, the term "embodiment" is meant to serve as an illustration, example, or illustration, but the subject matter of the invention is not limited by such examples. Also, "comprising", "comprising", "having" and other similar terms are used, but when used in the claims, "comprising" is an open transition word that does not exclude any additional or other elements. It can be used generically in a manner similar to the term "Comprising".

The various techniques described herein may be implemented with hardware or software, or a combination of both, where appropriate. As used herein, terms such as "...Unit" and "...System" likewise refer to computer-related entities, i.e. hardware, a combination of hardware and software, software or execution. It can be treated as equivalent to the city's software. In addition, each function executed in the program of the present invention may be configured in a module unit, and may be recorded in one physical memory, or may be recorded while being dispersed between two or more memories and recording media.

In the following description, a 'big data-based medical platform system' according to an embodiment of the present invention may be abbreviated as 'medical platform system' or 'system'.

Hereinafter, a big data-based medical platform system and a method for providing the same according to an embodiment of the present invention will be described with reference to the drawings.

1 is a diagram schematically showing the overall structure of a big data-based medical platform system according to an embodiment of the present invention.

Referring to FIG. 1 , the big data-based medical platform system according to an embodiment of the present invention is installed in a user terminal 50, and a request including user information about himself or herself at the current time from the user and desired treatment or consultation contents. According to one or more applications that receive information and user information and request information transmitted from the application, a disease according to the current user's physical condition is determined to select a plurality of medical subjects, and a specialist in the medical field selected by the user belongs to. It may include a medical platform server 200 that extracts a plurality of medical institutions to provide recommendation information for medical institutions to an application, and requests a medical appointment reservation from a corresponding institution terminal when any one medical institution is selected by the user.

The user terminal 50 provides information related to itself through the medical service according to an embodiment of the present invention to select an appropriate medical subject, and performs a procedure from receiving a recommendation to a medical institution to which a specialist in the medical field belongs and making a medical appointment. As a terminal device possessed and used by a user, an application provided by the system of the present invention may be installed and executed.

The user executes the application on his/her user terminal 50, and the content related to the basic body such as his/her age, weight, height, and gender, the current location and the surrounding environment such as the current season, and the user's hospital visit User information including information related to diseases such as records, search records, and lifestyle patterns may be input. In addition, the user may input request information such as the current physical condition, expected disease, and symptom, and the application may request medical service by transmitting the user information and request information to the medical platform server 200 through the information and communication network. .

The aforementioned user terminal 50 includes a Personal Communication System (PCS), a Global System for Mobile communications (GSM), a Personal Digital Cellular (PDC), a Personal Handyphone System (PHS), a Personal Digital Assistant (PDA), and an International Mobile Telecommunication (IMT). )-2000, CDMA (Code Division Multiple Access)-2000, W-CDMA (W-Code Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smartphone, smartpad, tablet PC (Tablet) All kinds of handheld-based mobile terminal devices such as PC), etc., as well as known computing devices such as stationary PCs and notebook computers may be used.

The medical platform server 200 is a server device that provides big data-based medical service to one or more user terminals 50 through online, and may provide an interface for distributing a dedicated application or inputting information on a web basis. In addition, receiving various types of information input according to the execution of the application of the user terminal 50, presenting a medical subject appropriate to the current user state, and selecting one or more medical subjects, the user can receive treatment according to the subject. A plurality of medical institutions may be searched for and recommended to the user. In addition, the medical platform server 200 may perform a treatment reservation procedure at a medical institution selected by the user according to the request of the user terminal 50 .

In detail, the medical platform server 200 receives the user's disease incidence frequency, age, current location, current season, gender, hospital visit record, search record, life pattern, occupation, and body information from the user terminal 50 . Upon receiving the information and request information, the service request of the corresponding user may be received, and a plurality of medical subjects may be selected through the machine learning results based on deep learning using big data and provided to the user terminal 50 . For example, if a user has injured his leg, he/she receives request information such as disease name 'sprain' and symptom 'pain' in addition to the user information described above, and based on this information, the treatment subject 'X-ray' is selected. It is possible to select multiple medical subjects including

That is, the medical platform server 200 according to the embodiment of the present invention may analyze the user information and the request information to select a medical subject determined to be necessary for the current user. In addition, the medical platform server 200 may display a plurality of medical subjects according to the analysis result numerically and graphically according to the probability on the user terminal 50 .

In addition, the medical platform server 200 according to the embodiment of the present invention may select a plurality of medical subjects through AI according to the received disease name 'cold' and symptom 'cough'. If it is winter and the flu is prevalent, it may be determined that internal medical treatment is necessary for the user by reflecting this. In addition, when the user has an allergic disease according to the user-related information, it may be determined that the user needs not only internal medicine but also otolaryngology.

In addition, the medical platform server 200 may recommend one or more hospitals having a specialist in the corresponding medical subject when a desired medical subject is selected by the user from among the plurality of selected medical subjects, and the user may select one or more of the plurality of medical subjects. When a medical department is selected, weight is given to a plurality of medical institutions with specialists in the relevant medical department in consideration of location, price, medical appointment date and time, average waiting time, etc., and one or more medical institutions can be recommended to the user. . Here, the weight may be applied differently for each medical institution according to the contents input by the user, and a detailed description thereof will be given later.

Thereafter, when any one medical institution is selected by the user terminal 50, the medical platform server 200 provides user information and request information to the institution terminal 70 operated by the medical institution to reserve and You can proceed with the consultation process. As such a reservation notification solution is provided in real time, a reservation payment can be made to prevent a no-show by the user.

The aforementioned reservation notification solution is to provide user information and request information to the institutional terminal 70 of the hospital in real time. function can be provided.

According to the above-described structure, the big data-based medical platform system according to an embodiment of the present invention allows a user to receive an appropriate treatment subject and corresponding treatment according to the current state, and to prevent the occurrence of no-show by the user through the reservation notification solution. This can be prevented, and the process from selecting a hospital to making an appointment and visiting can be expedited.

Hereinafter, the application of the big data-based medical platform system according to an embodiment of the present invention will be described in detail with reference to the drawings.

2 is a diagram showing the structure of an application of a big data-based medical platform system according to an embodiment of the present invention.

Referring to FIG. 2 , the application 100 of the big data-based medical platform system according to the embodiment of the present invention displays a UI for receiving a plurality of items on the screen, and the user information and request information through the UI from the user. The information input unit 110 that receives the input and transmits it to the medical platform server, the additional information generation unit 120 that generates and transmits additional information of the current user terminal to the medical platform server, and the recommended information provided from the medical platform server. The medical institution selection unit 130 may include a medical institution selection unit 130 that displays a list of one or more medical institutions and medical institution service information on the screen and transmits a selection result for any one medical institution to the medical platform server.

The information input unit 110 may display a UI for receiving a user's request, etc. on the screen as a user who wants to use the medical service of the present invention executes an application installed in a user terminal such as his/her smartphone. . And, the information input unit 110 includes the user's disease incidence frequency, the user's age, the current location, the current season, the user's gender, the user's hospital visit record, the user's search record, and the user's life pattern input through the UI user information and request information such as expected disease name, symptom, and period may be input, and the input user information and request information may be transmitted to the medical platform server.

The additional information generating unit 120 generates the current location and other necessary information included in the user information when the user requests a service, and generates information on the current location through the GPS module mounted on the user terminal, and generates the current location information from the communication module. Information on season, weather, etc., and search records using the web browser of the user terminal can be extracted and reflected in additional information can

The medical institution selection unit 130 receives the recommendation information provided from the medical platform server, displays a list of medical institutions included therein, and when the user selects any one of them, the medical institution selection result can be transmitted to the medical platform server. . The medical institution selection unit 130 may display on the screen a list of medical institutions providing treatment for a corresponding treatment subject, a location for each medical institution, a specialist, a reservation available date, etc., provided by the medical platform server, and the user You can select any one medical institution and career course according to your schedule, and set up a medical appointment on a desired date.

Thereafter, the medical platform server transmits the selected medical institution and reservation information transmitted from the application 100 to the corresponding medical institution to perform a reservation procedure.

Hereinafter, the structure of a medical platform server according to an embodiment of the present invention will be described in detail with reference to the drawings.

3 is a diagram showing the structure of a medical platform server of a big data-based medical platform system according to an embodiment of the present invention.

Referring to FIG. 3 , the medical platform server 200 of the big data-based medical platform system according to an embodiment of the present invention performs a membership registration procedure for a user or a medical institution in response to a request from a user terminal 50 or an institution terminal 70 . The registration unit 210 that performs the registration, the database 220 for storing registered member user information and institution information, the reception unit 230 that receives a request for treatment or consultation from the application, and receives the user information and request information, the transmitted The user's information analysis unit 240 that determines the user's disease according to the request information, analyzes the user information to predict the current user's physical condition, and determines a plurality of medical subjects suitable for the user through machine learning for the prediction result ), a medical institution extraction unit 250 for extracting one or more medical institutions to which a specialist in a medical field belongs from institutional information, a recommendation information generator 260 that generates recommended information including a list of the extracted medical institutions and provides it to an application, and , when any one medical institution is selected by the application, a reservation processing unit ( 270) may be included.

The registration unit 210, when accessing the medical platform server 200 as an application is executed on the user terminal 50 possessed by the user who wants to use the medical service of the present invention, proceeds with a member registration procedure in the case of initial access, , If you are registered as a member, you can perform the login procedure.

The database 220 may store the user's name, account name, password, and other personal information necessary for member management input when the user registers as a member. In particular, the member information stored in the database 220 includes not only the above information, but also information directly related to the user's health required in the medical service of the present invention, for example, the user's hospital visit record, search record, etc. of the user information may be stored, and this information may be continuously updated whenever the user terminal 50 is connected.

The reception unit 230 may receive the medical service request of the present invention according to the request of the user terminal 50 . That is, when a medical service request is received from the medical platform server from an application of a user who is currently unwell or wants to receive a health checkup, the medical service may be received and processed. In this case, the reception unit 230 may receive user information about itself and request information for treatment from the user terminal 50 .

The request information input to the reception unit 230 is information about symptoms or desired treatment from the user, and the user may input the disease name and symptoms through the application of the user terminal 50 to provide such request information.

For example, if the user has injured his leg, he may input 'sprain' as the disease name and 'pain' as the symptom. In addition, you can input 'Xray' as the desired medical subject. Alternatively, when the user coughs, 'cold' may be input as the disease name and 'cough' may be inputted as the symptom.

The information analysis unit 240 may receive user information and request information for the received request, and may determine one or more medical subjects suitable for the user through machine learning-based analysis. In particular, the information analysis unit 240 may determine the user's disease according to the transmitted request information, and may predict the current user's physical condition by analyzing the user information through machine learning. At this time, the information analysis unit 240 predicts the physical condition of the user using the learning data according to the plurality of user information and request information stored in the database 220 , that is, big data.

The information analysis unit 240 selects a plurality of medical subjects through AI according to the information received from the user, and recommends to the user a plurality of hospitals having specialists in the medical department selected by the user from among the plurality of selected medical departments. make it possible

For example, the information analysis unit 240 is a user's disease incidence frequency, user's age, current location, current season, user's gender, user's hospital visit record, user's search record, user's life pattern, user's occupation , it is possible to select a plurality of medical subjects through AI according to user-related information including the user's body information and information input from the user.

In addition, the information analysis unit 240 analyzes based on the user-related information and the information received from the user, for example, when the season is winter and the flu is prevalent, reflecting this, internal medical treatment is provided to the user may be deemed necessary. In addition, the information analysis unit 240 may determine that the user needs otorhinolaryngology treatment when the user has an allergic disease according to the user-related information.

In addition, the medical institution extraction unit 250 may extract one or more medical institutions to which a specialist in a medical field belongs from the analysis result by the above-described information analysis unit 240 and the institution information stored in the database 220 .

Alternatively, when the user inputs 'cold' in the disease name and 'cough' in the symptom, the medical institution extraction unit 250 performs user information such as the frequency of occurrence of the user's disease and the user's age and the disease received from the user. According to the request information such as the name 'cold' and the symptom 'cough', it is possible to include a plurality of medical subjects selected through AI and information on the requesting institution.

In detail, the medical institution extraction unit 250 selects a desired medical subject from the user from among a plurality of selected medical subjects, and refers to the database 220 for locations and prices for a plurality of hospitals having specialists in the corresponding medical subjects. , by assigning a weight to each hospital according to hospital-related information including the date and time of appointment and the average waiting time, so that a plurality of hospitals can be recommended to the user.

The recommendation information generating unit 260 may provide a plurality of hospitals according to a plurality of selected medical subjects and weights to the user terminal 50 .

In detail, as a result of the analysis based on the above-described user-related information and information input from the user, the recommendation information generating unit 260 selects the medical subjects determined to be necessary for the user. Recommendation information can be generated by converting it into numerical values and graphics accordingly.

For example, as a result of analyzing the recommendation information based on user-related information and information received from the user, 70% of orthopedic treatment, 25% of pain medicine treatment, and 3% of oriental clinic treatment included the content that the user needed. can do.

In addition, the recommendation information generating unit 260 receives a selection of a desired treatment from the user from among a plurality of displayed medical subjects, and for a plurality of hospitals with a specialist in the corresponding medical subject, the location, price, treatment reservation date and time, and average waiting time A plurality of hospitals may be recommended to the user by assigning a weight to each hospital according to hospital-related information including, for example.

In addition, the recommendation information generating unit 260 is given a weight according to the distance from the user, the order of price, and availability of medical treatment for a plurality of hospitals, and can recommend a plurality of hospitals to the user according to the priority according to the assigned weight. have. Thereafter, a procedure for reservation and consultation for a hospital selected by the user among a plurality of recommended hospitals may be performed.

When any one medical institution is selected by the user terminal 50 , the reservation processing unit 270 requests a medical appointment to the corresponding institution terminal 70 , and when the reservation is approved by the institution terminal 70 , generates reservation information and It may be provided to the user terminal 50 .

In detail, the reservation processing unit 270, when the procedure for reservation and consultation for the user is in progress, the disease occurrence frequency of the user who wants to make a reservation, the user's age, current location, current season, user's gender, user's hospital It is possible to provide a reservation notification solution for user information including visit records, user search records, user life patterns, user occupations, and user body information and information received from the user to the institutional terminal 70 of the hospital. have. And, through this, a reservation payment can be made to prevent a no-show.

The reservation notification solution provides user-related information and information received from the user to the hospital in real time, and provides a function that allows the user to know information about the user in advance before visiting the hospital, thereby saving treatment time. points to

In addition, the reservation processing unit 270 may provide hospital service information and reservation scheduler including discount information, event information, and long-term interest-free installment benefits of the corresponding hospital to the user who wants to make a reservation. For example, in order to be selected by the user, hospital information including discount information, event information, and long-term interest-free installment benefits of each of a plurality of recommended hospitals may be transmitted to the user terminal 50 through a push notification. The user may use hospital service information provided to select one hospital among a plurality of hospitals as a reference.

In addition, a reservation scheduler is provided so that you can easily check the available reservation dates and times, and you can make a reservation for a desired date and time through the reservation scheduler.

As described above, the medical platform server 200 according to an embodiment of the present invention may provide hospital-related information to a user centering on opened medical subjects and hospitals. In particular, according to an embodiment of the present invention, it is possible to quickly provide information on a hospital specializing in related diseases based on location information, so that the user can make a reservation and consultation at once after confirming the hospital with a specialist. In addition, it is possible to provide a reservation notification solution to the hospital in real time and prevent medical consumer no-shows through reservation payment.

In addition, according to an embodiment of the present invention, it is possible to provide a customized push notification and sharing solution for users and hospitals. The medical platform server 200 detects the location of the user in real time, and quickly guides hospital information and discount information around the user to save time.

Hereinafter, a method of providing a big data-based medical platform according to an embodiment of the present invention will be described in detail with reference to the drawings.

4 is a diagram illustrating a method for providing a big data-based medical platform according to an embodiment of the present invention.

Referring to FIG. 4 , in a method for providing a big data-based medical platform according to an embodiment of the present invention, an application installed on a user terminal includes user information about the user at a current time from the user and desired treatment or consultation contents. A step of receiving request information (S100), a step of the medical platform server determining a disease according to the current user's physical condition according to the user information and medical information transmitted from the application, and selecting a plurality of medical subjects (S110), medical treatment Step (S120), in which the platform server extracts a plurality of medical institutions to which the specialist of the medical field selected by the user belongs and provides the recommended information for the medical institution to the application, the application selects any one medical institution by the user Informing the medical platform server of the result (S130), the medical platform server requesting a medical appointment reservation for the user to the institutional terminal of the selected medical institution (S140), and the medical platform server replying to the reservation approval from the institution terminal , informing the application of the reservation result (S150).

First, the step (S100) of the application installed in the user terminal receiving the request information including the user information and the desired treatment or consultation from the user at the current time (S100), the user who wants to use the medical service of the present invention This is a step of executing an application using one's own user terminal and receiving information on symptoms or desired treatment. A user may input a disease name and symptoms through the application.

For example, when the user has injured his leg, 'sprain' may be input as the disease name and 'pain' may be inputted as the symptom. In addition, you can input 'Xray' as the desired medical subject. Alternatively, when the user coughs, 'cold' may be input as the disease name and 'cough' may be inputted as the symptom.

Next, in the step (S110) of the medical platform server selecting a plurality of medical subjects by determining a disease according to the current user's physical condition according to the user information and medical information transmitted from the application, the medical platform server receives the user from the application. By receiving information and requesting information, receiving a request, and analyzing it through AI, it is possible to select a plurality of medical subjects.

In this way, by analyzing based on the information received from the user, medical subjects determined to be necessary for the user can be selected, and a plurality of medical subjects according to the analysis result can be displayed numerically and graphically according to probability. For example, as a result of analysis based on information received from the user, when the season is winter and the flu is prevalent, it may be determined that the user needs medical treatment accordingly. In addition, if the user has an allergic disease according to the user information, it may be determined that the user needs otolaryngology treatment.

Next, in the step (S120) of the medical platform server extracting a plurality of medical institutions to which the specialist of the medical treatment selected by the user belongs and providing the recommended information on the medical institution to the application, the user from among the plurality of medical subjects presented to the user terminal A desired medical field is selected from the hospital, and a plurality of hospitals with specialists in the relevant medical field are recommended.

In particular, according to an embodiment of the present invention, a weight is assigned to each hospital according to hospital-related information including location, price, medical appointment date and time, and average waiting time, etc. for one or more medical institutions with specialists in the selected medical field. A plurality of hospitals are recommended to the user by granting them, and the medical platform server assigns weights to one or more medical institutions according to the distance from the user, the order of prices, and availability of medical appointments, and gives priority to the users according to the assigned weights. Multiple medical institutions may be recommended. Thereafter, a procedure for reservation and consultation is performed with respect to a hospital selected by the user among one or more recommended medical institutions.

Next, when the application selects any one medical institution by the user, in step S130 of notifying the selection result to the medical platform server, the application displays a list of medical institutions on the user screen according to the recommendation of the medical platform server, and the user selects one or more medical institutions from the medical institution, and transmits the selection result to the medical platform server.

Next, in the step (S140) of the medical platform server requesting a medical treatment reservation for the user to the institutional terminal of the selected medical institution, the medical platform server identifies the medical institution selected by the user, and sends the user to the institution terminal operated by the medical institution. Reservation procedures for visits, consultations and treatment are performed.

In detail, when the procedure for reservation and consultation for the user is in progress, the medical platform server, the disease occurrence frequency of the user who wants to make a reservation, the user's age, current location, current season, user's gender, user's hospital visit A reservation notification solution regarding user information including record, user's search record, user's life pattern, user's occupation, and user's body information and request information input from the user may be provided to the corresponding institution terminal in real time. In addition, a reservation payment may be made to prevent a no-show.

In addition, the medical platform server may provide hospital service information and reservation scheduler including discount information, event information, and long-term interest-free installment benefits of a corresponding hospital to a user who wants to make a reservation. For example, medical institution service information including discount information, event information, and long-term interest-free installment benefits of a corresponding hospital may be transmitted to the user through a push notification.

In addition, a reservation scheduler is provided so that the user can easily check the available reservation date and time, and can directly make a reservation for a desired date and time through the reservation scheduler.

Next, when the medical platform server responds to the reservation approval from the institutional terminal, in the step S150 of notifying the application of the reservation result, according to the user's reservation request at the corresponding medical institution, the person in charge confirms and approves the content, the institution The terminal provides the reservation approval contents to the medical platform server, and the medical platform server returns the reservation result to the user terminal of the corresponding user, thereby completing the user's treatment reservation procedure.

Hereinafter, the concept of the omni-channel applied to the system according to an embodiment of the present invention will be described with reference to the drawings.

5 is a diagram schematically illustrating a distribution channel paradigm according to an embodiment of the present invention and the related art.

Referring to FIG. 5 , as a distribution channel paradigm applied to an embodiment of the present invention, Omni-Channel is a customer-centered system that integrates and connects all channels to provide consistent communication to enhance customer experience and enhance sales. It means a channel strategy that increases.

First, the single channel (a) represents one conventional channel, and it can be seen that only the user and the offline store exist. Multi-channel (b) is developed from a single channel, and there is a limit in providing benefits to all participating buyers and sellers as each channel is independently operated and there is an on-off competition.

In addition, the cross-channel (c) is an organic operation of each channel and is in an on-off complementary relationship, but there is a limit in providing customized information for each customer. And, the omni-channel (d) is a concept applied to the system of the present invention, and customer-oriented organic channel operation is made, and there is an on-off win-win relationship. These omni-channels complement each other's shortcomings and maximize their strengths, and each channel operates independently in that it acts as a single channel, which is very different from multi-channel competing with each other.

In the big data-based medical platform system according to an embodiment of the present invention, information is collected centered on medical institutions through an omni-channel, and medical institutions that treat appropriate medical subjects according to the user's current status are recommended.

In particular, the term Medic used in the present invention is a big data-based omni-channel curation platform that provides medical services and consumer (patient)-centered big data recommendation service. Medical information & Communication , abbreviated as Medic.

As an example, in the big data-based medical service according to an embodiment of the present invention, information can be provided to the user focusing on the desired treatment and location-based hospitals through such an omni-channel. Through the application that quickly provides hospital information for related diseases based on the location, the user can make a reservation and consultation at once after confirming the hospital with a specialist. In addition, it is possible to provide a reservation notification solution to the hospital in real time and prevent medical consumer no-shows through reservation payment.

In addition, it provides customized push notifications and sharing solutions for users and hospitals. A smart sharing service can be implemented through an application that quickly provides hospital information specialized for related diseases based on location. For example, it is possible to save time by identifying the location of the user in real time and quickly providing information about hospitals and discount information around the user.

Hereinafter, the technical idea of the present invention will be described in detail through an example of a screen provided by the big data-based medical platform system according to an embodiment of the present invention.

6A to 6C are diagrams illustrating screens for receiving information about symptoms or desired treatment from a user, provided by the big data-based medical platform system according to an embodiment of the present invention.

Referring to FIG. 6A , as a diagram illustrating a process of receiving information about symptoms or desired treatment from a user in a user terminal, the user inputs a disease name and symptoms through an application for providing a medical service based on his/her user terminal big data can do.

For example, if the user injured his leg, he may input 'sprain' as the disease name and 'pain' as the symptom. In addition, you can input 'X-ray' as a desired medical subject. Data input through the UI, that is, request information, is transmitted to the medical platform server together with user information.

Referring to FIG. 6B , it is a diagram illustrating a process of selecting and displaying a plurality of medical subjects through AI according to user information and request information input from the user. And, a plurality of medical subjects are selected through big data analysis according to request information, such as diseases, input by the user and displayed on the user terminal.

For example, if a user has a leg injury, big according to the user information such as the user's age, gender, and current season, the disease name 'sprain', the symptom 'pain', and the treatment subject 'X-ray' input from the user. Multiple medical subjects can be selected and displayed through data analysis. In this case, by analyzing based on the user information and the request information, the medical subjects determined to be necessary for the user can be selected, and a plurality of medical subjects according to the analysis result can be displayed numerically and graphically according to the probability. In the figure, as a result of the analysis, orthopedic surgery treatment is 70%, pain medicine treatment is 25%, and oriental clinic treatment is 3%, indicating the judgment result that the user needs.

6C is a diagram illustrating a screen showing a list of medical institutions based on a location. When a desired medical field is selected by a user, the system provides a plurality of medical institutions with specialists in the relevant medical field within a radius of several meters based on the user's current location; FIG. can be shown on the map. For example, when the user selects orthopedic treatment, the system maps the locations of a plurality of orthopedic hospitals on the map and displays them on the user terminal, and when the user selects any one hospital, the specific locations ( address), price, appointment date and time, and average waiting time.

In addition, according to an embodiment of the present invention, the system assigns weights to a plurality of medical institutions according to the distance from the user, the order of price, and availability of medical appointments, and recommends a plurality of hospitals to the user in order of priority according to the assigned weights. can do. That is, a closer hospital may have priority, or a hospital with a shorter average waiting time may be given a higher priority.

Thereafter, a procedure for reservation and consultation for a hospital selected by the user among a plurality of recommended hospitals may be performed.

And, when the procedure for reservation and consultation for the user is in progress, the information received from the user may be provided to the hospital in real time according to the reservation notification solution, and accordingly, Reservation payment may proceed.

The reservation notification solution provides user-related information and information received from the user to the hospital in real time, and allows the user to know information about the user in advance before visiting the hospital, thereby saving treatment time.

In addition, hospital service information and reservation scheduler including discount information, event information, and long-term interest-free installment benefits of a corresponding hospital may be provided to a user who wants to make a reservation. For example, in order to be selected by the user, the system may provide the user with hospital information including discount information, event information, and long-term interest-free installment benefits for each of a plurality of recommended hospitals through a push notification. The user may use hospital information provided to select one hospital from among a plurality of hospitals as a reference.

In addition, a reservation scheduler is provided so that you can easily check available reservation dates and times, and you can directly make a reservation for a desired date and time through the reservation scheduler.

7A to 7D are diagrams illustrating screens displayed when providing medical institution service information, provided by the big data-based medical platform system according to an embodiment of the present invention.

Referring to FIG. 7A , the system may receive information about a desired medical subject 611 , a location 612 , and medical institution service information 613 from a user, and accordingly, a list of recommended medical institutions is illustrated.

For example, when a user searches for a hospital that provides interest-free installment benefits among dermatology clinics within 5 km of the current location, a list of recommended medical institutions according to the search results is displayed along with a map, and the user receives a quote request message for the recommended medical institution (614) may be created and transmitted.

The above-mentioned quotation request message 614 is transmitted to an institution terminal operated by a corresponding medical institution through the medical platform server, and the institution terminal may write a quotation and reply thereto.

In particular, the above-mentioned quotation request message 614 may include medical institution service information from a recommended medical institution, and one or more medical institutions that have received the quotation request message written by the user may receive an estimate for the medical subject desired by the user, and a medical institution provided. Service information can be transmitted.

As illustrated, the user may check the quotation returned by each medical institution according to the request for quotation. In addition to the cost suggested by the medical institution, a UI may be displayed for each medical institution to check reviews written by other users, to request an online consultation, and to check additional benefits. can finally select a medical institution to visit and proceed with the reservation process.

In addition, the user can receive a quote and discount event notification by designating a desired treatment and location. You will be able to use medical institution service information, including hospital discount benefits as well as long-term interest-free installment benefits.

Referring to FIG. 7B , it shows a storage box of quotations received by the user, and the user may store a plurality of quotations received from a recommended medical institution in a list form for easy comparison. Such a storage box may be provided with a UI including a reservation payment button for making a reservation, an additional benefit button for checking hospital service information, together with a price and a hospital review.

Referring to FIG. 7C , a screen for a user to make a reservation payment is shown, and the user may select one medical institution from a list of recommended hospitals and proceed with reservation and reservation payment. In this case, the system may provide a reservation notice board and a reservation confirmation scheduler, and in the case of the reservation day, may provide a reservation location notification service.

In addition, after the reservation is completed, the user may recommend a medical institution to an acquaintance, such as visiting with the acquaintance, or transmit a message requesting accompaniment, and may receive service benefits accordingly.

Referring to FIG. 7D , hospital service information provided from a medical institution is shown. According to an embodiment of the present invention, the system may provide a customized push notification and sharing solution for users and hospitals. This customized push notification and sharing solution will provide a smart sharing service as well as promptly providing information on medical institutions specializing in related diseases based on the user's current location. Accordingly, the user can quickly check service information of medical institutions around the user and discount information for each medical institution, thereby saving time for selecting a medical institution.

In addition, the system may provide hospital service information and reservation scheduler including discount information, event information, and long-term interest-free installment benefits of a corresponding hospital to a user who wants to make a reservation.

As an example, the system may provide the user with hospital service information including discount information, event information, and long-term interest-free installment benefits for each of a plurality of recommended hospitals through a push notification in order to be selected by the user. Accordingly, the user may use hospital service information provided to select one hospital from among a plurality of hospitals as a reference.

Hereinafter, a configuration of hardware for implementing a big data-based medical care providing system according to an embodiment of the present invention will be described in detail with reference to the drawings.

8 is a diagram illustrating a configuration of a computing device of a medical platform server according to an embodiment of the present invention.

The computing device 800 in which the medical platform server according to the present embodiment is implemented may include a processor 810 , a bus 820 , a network interface 830 , a memory 840 , and a database 850 . The memory 840 may include an operating system 841 and a big data-based medical service provision routine 842 . The processor 810 may execute a plurality of processes for implementing the medical service providing method of the present invention described above.

Although not shown, computing device 800 may include more components than those illustrated. However, there is no need to clearly show most of the prior art components. For example, the computing device 800 may include other components such as a display or a transceiver.

The memory 840 is a computer-readable recording medium and may include a random access memory (RAM), a read only memory (ROM), and a permanent mass storage device such as a disk drive. In addition, program codes for the operating system 841 and the big data-based medical service provision routine 842 may be stored in the memory 840 . These software components may be loaded from a computer-readable recording medium separate from the memory 840 using a drive mechanism (not shown). The separate computer-readable recording medium may include a computer-readable recording medium (not shown) such as a floppy drive, a disk, a tape, a DVD/CD-ROM drive, and a memory card. In another embodiment, the software components may be loaded into the memory 840 through the network interface 830 instead of a computer-readable recording medium.

Bus 820 may enable communication and data transfer between components of computing device 800 . Bus 820 may be configured using a highspeed serial bus, a parallel bus, a storage area network (SAN), and/or other suitable communication technology.

Network interface 830 may be a computer hardware component for connecting computing device 800 to a computer network. The network interface 830 may connect the computing device 800 to a computer network through a wireless or wired connection.

The database 850 may serve to store and maintain all information necessary to provide big data-based medical services. Although the drawing shows that the database 850 is built and included in the computing device 800, it is not limited thereto and may be omitted depending on the system implementation method or environment, or the entire or part of the database is separate and different. It is also possible to exist as an external database built on the system.

The processor 810 may be configured to process instructions of a computer program by performing basic arithmetic, logic, and input/output operations of the medical service of the present invention. Instructions may be provided to processor 810 by memory 840 or network interface 830 and via bus 820 .

The device described above may be implemented as a hardware component, a software component, and/or a combination of the hardware component and the software component. For example, devices 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 array (FPA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. The processing device may execute an operating system (OS) and one or more software applications running on the operating system. The processing device may also access, store, manipulate, process, and generate data in response to execution of the software.

For convenience of understanding, although one processing device is sometimes described as being used, one of ordinary skill in the art will recognize that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that may include For example, the processing device may include a plurality of processors or one processor and one controller. Other processing configurations are also possible, such as parallel processors.

The software may comprise a computer program, code, instructions, or a combination of one or more thereof, which configures a processing device to operate as desired or is independently or collectively processed You can command the device. The software and/or data may be any kind of machine, component, physical device, virtual equipment, computer storage medium or device, to be interpreted by or to provide instructions or data to the processing device. may be embodied in The software may be distributed over networked computer systems and stored or executed in a distributed manner.

Software and data may be stored in one or more computer-readable recording media. In addition, 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 in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, etc. alone or in combination. The program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and available to those skilled in the art of computer software. Examples of the computer-readable recording medium include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic such as floppy disks. - includes magneto-optical media, and hardware devices specially configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like.

Examples of program instructions include not only machine language codes such as those generated by a compiler, but also high-level language codes that can be executed by a computer using an interpreter or the like.

As described above, although the embodiments have been described with reference to the limited embodiments and drawings, various modifications and variations are possible by those skilled in the art from the above description. For example, the described techniques are performed in a different order than the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components Or substituted or substituted by equivalents may achieve an appropriate result.

Therefore, other implementations, other embodiments, and equivalents to the claims are also within the scope of the following claims.

50: user terminal 70: institutional terminal
100: medical institution selection unit 110: information input unit
120: additional information generating unit 130: medical institution selection unit
200: medical platform server 210: register
220: database 230: reception unit
240: information analysis unit 250: medical institution extraction unit
260: recommendation information generation unit 270: reservation processing unit

Claims (10)

one or more applications installed in the user terminal and receiving from the user user information about himself/herself at a current point in time and request information including desired treatment or consultation contents; and
According to the user information and request information transmitted from the application, a disease according to the current user's physical condition is determined, a plurality of medical subjects are selected, and a plurality of medical institutions to which a specialist of the medical field selected by the user belongs is extracted. A medical platform server that provides recommended information about
A big data-based medical platform system that includes The method of claim 1,
The application is
an information input unit that displays a UI for receiving a plurality of items on a screen, receives the user information and request information from a user through the UI, and transmits the received information to the medical platform server;
an additional information generating unit that generates additional information including the current location of the user terminal and transmits it to the medical platform server; and
A medical institution selection unit that displays a list of one or more medical institutions and medical institution service information included in the recommendation information provided from the medical platform server on a screen, and transmits a selection result for any one medical institution to the medical platform server
A big data-based medical platform system that includes 3. The method of claim 2,
The medical platform server,
a registration unit for performing a membership registration procedure for a user or a medical institution at the request of a user terminal or an institution terminal;
a database for storing member-registered user information and organization information;
a reception unit that receives a request for treatment or consultation from the application, and receives the user information and request information;
The user's information analysis to determine the user's disease according to the transmitted request information, predict the current user's physical condition by analyzing the user information through machine learning, and determine a plurality of medical subjects suitable for the user based on the prediction result wealth;
a medical institution extraction unit for extracting one or more medical institutions to which a specialist in the medical field belongs from the institution information;
a recommendation information generating unit that generates recommendation information including a list of extracted medical institutions and provides it to the application; and
When any one medical institution is selected by the application, a reservation processing unit for requesting a medical appointment to the corresponding medical institution terminal, and when the reservation is approved from the medical institution terminal, generates reservation information and provides it to the application
A big data-based medical platform system that includes According to any one of claims 1 to 3,
The user information is
User's specific disease incidence frequency, user's age, current location, current season, user's gender, user's medical institution visit record, user's search history, user's life pattern, user's occupation, and user's height and weight A big data-based medical platform system that includes one or more of body sizes. 4. The method of claim 3,
The recommendation information generation unit,
A first weight is given to a plurality of extracted medical institutions according to medical institution service information including location, price, treatment reservation date and time, and average waiting time, and a distance from the user, price order, and treatment reservation for the plurality of medical institutions A second weight is given according to availability, and medical institutions are classified into separate lists according to the first and second weights according to the user tendency determined by the user information, and the medical institutions are selected according to the first or second weights. A big data-based medical platform system that determines the order of appearance and reflects it in the recommendation information. A method of providing a big data-based medical platform, comprising:
(a) receiving, by the application installed in the user terminal, user information about the user at the current time point and request information including desired treatment or consultation contents from the user;
(b) selecting, by the medical platform server, a plurality of medical subjects by determining a disease according to the current user's physical condition according to the user information and the request information transmitted from the application;
(c) providing, by the medical platform server, recommendation information on the medical institution to the application by extracting a plurality of medical institutions to which the specialist of the medical field selected by the user belongs;
(d) the application, when any one medical institution is selected by the user, notifying the selection result to the medical platform server;
(e) requesting, by the medical platform server, a medical appointment reservation for the user to an institution terminal of a selected medical institution; and
(f) when the medical platform server returns a reservation approval from the institutional terminal, notifying the application of the reservation result
A method of providing a big data-based medical platform comprising a. 7. The method of claim 6,
The step (a) is,
displaying, by the application, a UI for receiving a plurality of items on a screen; and
The application receives the user information and the request information from the user through the UI, transmits the received information to the medical platform server, and generates additional information of the current user terminal and transmits it to the medical platform server,
Step (d) is,
displaying, by the application, a list of one or more medical institutions and medical institution service information included in the recommendation information provided from the medical platform server on a screen; and
When the application, when any one medical institution is selected by the user, transmitting the selection result to the medical platform server
A method of providing a big data-based medical platform comprising a. 7. The method of claim 6,
Step (c) is,
determining, by the medical platform server, the user's disease according to the transmitted request information, and predicting the current user's physical condition by analyzing the user information through machine learning;
determining, by the medical platform server, a plurality of medical subjects suitable for the user according to the prediction result;
extracting, by the medical platform server, one or more medical institutions to which the specialist in the medical field belongs from the institution information; and
generating, by the medical platform server, recommendation information including a list of extracted medical institutions and providing it to the application;
A method of providing a big data-based medical platform comprising a. According to any one of claims 6 to 8,
The user information is
User's specific disease incidence frequency, user's age, current location, current season, user's gender, user's medical institution visit record, user's search history, user's life pattern, user's occupation, and user's height and weight A method of providing a big data-based medical platform including one or more of body sizes. 7. The method of claim 6,
Step (c) is,
The medical platform server assigns a first weight to the plurality of extracted medical institutions according to medical institution service information including location, price, medical appointment date and time, and average waiting time, assigning a second weight according to distance, price order, and availability of medical appointments; and
The medical platform server classifies medical institutions into separate lists according to the first and second weights according to the user tendency determined by the user information, and determines the order in which medical institutions appear according to the first or second weights. and reflecting it in the recommendation information
A method of providing a big data-based medical platform comprising a.

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