KR102141244B1 - Hospital reservation recommendation method and device - Google Patents

Abstract

The hospital reservation recommendation device includes a display unit that displays a plurality of treatment item types and a plurality of treatment desired site types on a screen, a first user input for any one of the plurality of treatment item types, and any one of the plurality of treatment desired site types A receiving unit receiving a second user input for, assigning a first weight based on the first user input, assigning a second weight based on the second user input, and assigning the first weight and the second weight A generation unit that generates a hospital recommendation list in consideration of, a reservation execution unit that performs a hospital reservation based on a user input selected from the hospital recommendation list, and a database including user health information and the hospital information. Can include.

Description

User-customized hospital reservation recommendation method and device {HOSPITAL RESERVATION RECOMMENDATION METHOD AND DEVICE}

The present application relates to a method and apparatus for recommending a customized hospital reservation.

Despite the development of medical services, medical consumers have difficulty in knowing accurate information about hospitals or clinics, which are providers of medical services, and most of them rely on information they have heard from their neighbors.

Medical consumers need to make reservations by searching for medical institutions belonging to the medical treatment subject by judging the treatment subject according to their symptoms, but it is difficult to determine which treatment subject their symptoms belong to, making it difficult to select a specific medical institution. There is a problem.

In addition, information on hospitals and specialists can be searched through a portal site or a search site, but the search method of portal sites and the number of searchers are soaring that it is difficult for medical consumers to identify appropriate specialist hospitals and specialists.

On the other hand, the medical consumer terminal that wants to perform the medical reservation request cannot know the status of the medical reservation of each hospital, and accordingly, the hospital terminal has a difficulty in determining the reservation information received from the medical consumer terminal to perform the reservation.

The technology behind the present application is disclosed in Korean Patent Application Publication No. 2011-0128489 (published date: 2011.11.30).

The present application is to solve the problems of the prior art described above, by generating a hospital recommendation list using big data to provide a user-customized hospital reservation recommendation method and apparatus.

The present application is intended to solve the problems of the prior art described above, and a reservation can be made to a hospital desired by the user among the hospital recommendation list generated based on the user's health information, interest information, and location information. It is intended to provide a method and apparatus for recommending customized hospital reservations that are transmitted to and can make reservations between hospitals and users in real time.

The present application is to solve the above-described problems of the prior art, and is to provide a method and apparatus for recommending customized hospital reservations for generating a hospital recommendation list including only information necessary for the user using a keyword-based artificial intelligence algorithm.

However, the technical problems to be achieved by the embodiments of the present application are not limited to the technical problems as described above, and other technical problems may exist.

As a technical means for achieving the above technical problem, according to an embodiment of the present application, a hospital reservation recommendation device includes a display unit for displaying a plurality of treatment item types and a plurality of treatment desired site types on a screen, the plurality of treatment item types A receiver configured to receive a first user input for any one of the first user input and a second user input for any one of the plurality of treatment desired site types, and assign a first weight based on the first user input, and the second user A generator that assigns a second weight based on the input and generates a hospital recommendation list in consideration of the first weight and the second weight, and a hospital based on a user input that selects any one of the hospital recommendation list. It may include a reservation execution unit that performs a reservation and a database including user health information and the hospital information.

According to an embodiment of the present application, further comprising an acquisition unit for acquiring the current location information of the user, wherein the generation unit generates a hospital recommendation list in consideration of the location information included in the hospital information and the current location information of the user. I can.

According to an embodiment of the present application, the hospital recommendation list may be provided by crawling a web page of the hospital from the web based on a specific keyword included in the hospital information.

According to the exemplary embodiment of the present application, the generator may generate the hospital recommendation list in consideration of a weight assigned to the user's satisfaction and kindness information of the corresponding hospital included in the database.

According to an embodiment of the present application, the reservation execution unit may perform a hospital reservation based on a user's input for any one of an additional item to be treated, information of a medical staff of a corresponding hospital, and selection of a treatment day.

According to an embodiment of the present application, a method for recommending a hospital reservation includes displaying a plurality of treatment item types on a screen, a first user input for any one of the plurality of treatment item types, and among the plurality of treatment desired site types. Receiving a second user input for any one, assigning a first weight based on the first user input, assigning a second weight based on the second user input, and assigning the first weight and the second weight 2 It may include generating a hospital recommendation list in consideration of the weight, and performing a hospital reservation based on a user input selecting one hospital item from the hospital recommendation list.

The above-described problem solving means are merely exemplary and should not be construed as limiting the present application. In addition to the above-described exemplary embodiments, additional embodiments may exist in the drawings and detailed description of the invention.

According to the above-described problem solving means of the present application, a list of recommendations for consumer hospitals using big data can be generated to provide customized hospital recommendation information.

According to the above-described problem solving means of the present application, a reservation can be made to a hospital desired by the user among the hospital recommendation list generated based on the user's health information, interest information, and location information, and the reservation information is transmitted to the hospital in real time. You can make a reservation between the hospital and the user.

According to the above-described problem solving means of the present application, it is possible to provide a method and apparatus for recommending a customized hospital reservation for generating a hospital recommendation list including only information necessary for the user using a keyword-based artificial intelligence algorithm.

1 is a schematic system diagram of a hospital reservation recommendation apparatus according to an embodiment of the present application.
2 is a schematic configuration diagram of a hospital reservation recommendation device according to an embodiment of the present application.
3A to 3N are diagrams schematically showing an embodiment of a method for recommending a hospital reservation according to an embodiment of the present application.
4 is a diagram showing an embodiment of user reservation information of a hospital terminal according to an embodiment of the present application.
5 is a schematic flowchart of a method for recommending a hospital reservation according to an embodiment of the present application.

Hereinafter, exemplary embodiments of the present application will be described in detail with reference to the accompanying drawings so that those of ordinary skill in the art may easily implement the present application. However, the present application may be implemented in various different forms and is not limited to the embodiments described herein. In addition, in the drawings, parts not related to the description are omitted in order to clearly describe the present application, and similar reference numerals are attached to similar parts throughout the specification.

Throughout this specification, when a part is said to be "connected" with another part, this includes not only the case that it is "directly connected", but also the case that it is "electrically connected" with another element interposed therebetween. do.

Throughout this specification, when a member is positioned "on", "upper", "upper", "under", "lower", and "lower" of another member, this means that a member is located on another member. It includes not only the case where they are in contact but also the case where another member exists between the two members.

Throughout the specification of the present application, when a certain part "includes" a certain component, it means that other components may be further included rather than excluding other components unless specifically stated to the contrary.

1 is a schematic system diagram of a user-customized hospital reservation recommendation apparatus according to an embodiment of the present application, and FIG. 2 is a schematic configuration of a user customized hospital reservation recommendation apparatus for generating a hospital recommendation list according to an embodiment of the present application. 3A to 3N are diagrams schematically showing an embodiment of a method for recommending a hospital reservation according to an embodiment of the present application.

Referring to FIG. 1, the hospital reservation recommendation system may include a hospital reservation recommendation apparatus 100, a hospital reservation server 200, a hospital terminal 300, and a network 400, but is not limited thereto.

According to an embodiment of the present application, the apparatus 100 for recommending a hospital reservation may generate a user-customized hospital recommendation list using big data, and the user may check the hospital recommendation list and reserve a desired hospital. Big data may be user review information of a user who visits the hospital. In addition, big data is evaluated by surgery and disease (country-selected evaluation grade by hospital), frequent treatment evaluation (top 5 treatment and surgery items by hospital), and patient experience evaluation of the hospital's medical staff (customer satisfaction and kindness by hospital). It may be data corresponding to ). Also, big data may be information on average medical expenses. The average medical expenses may be information on medical expenses by code for each phase and average medical expenses for pay items. Big data may be data using the database of the Health Insurance Review and Assessment Service, but is not limited thereto. The hospital reservation recommendation apparatus 100 may generate a hospital recommendation list including only information necessary for a user by using a keyword-based artificial intelligence algorithm.

According to an exemplary embodiment of the present disclosure, the apparatus 100 for recommending a hospital reservation may generate a hospital recommendation list based on the user's health information, interest information, and location information. The hospital reservation recommendation apparatus 100 may perform a hospital reservation for an item selected from any one hospital item from the hospital recommendation list. The hospital reservation recommendation apparatus 100 may recommend a hospital located relatively close to the location information of the hospital formed in the hospital recommendation list with the user's health information and interest information, based on the location information where the user is currently located. As another example, the apparatus 100 for recommending a hospital reservation may recommend a hospital located relatively close to the location information of the hospital formed in the hospital recommendation list as the user's health information and interest information, based on a location designated by the user.

According to an exemplary embodiment of the present application, the apparatus 100 for recommending a hospital reservation may generate a hospital recommendation list based on evaluation information of a visitor (patient) of a corresponding hospital. Hospital evaluation information may be information generated by assigning a weight to a visitor's review or star rating. The apparatus 100 for recommending a hospital reservation may generate a hospital recommendation list based on the evaluation information of the medical staff of the corresponding hospital. The medical staff evaluation information may be information based on surgery and disease-specific information, frequent treatment (specialized treatment field of medical staff), and patient experience information.

Also, the apparatus 100 for recommending a hospital reservation may crawl a web page of a corresponding hospital from the web based on a specific keyword included in the hospital information and provide detailed information of the hospital. The hospital reservation recommendation apparatus 100 may generate a hospital recommendation list including keywords having a high weight by assigning a preset weight based on a user's input and calculating a sum of the weights.

The hospital reservation recommendation apparatus 100 may transmit information on which the user finally makes a hospital reservation to the hospital terminal 300 in real time. By way of example, referring to FIG. 4, the hospital terminal 300 may display items that have been reserved in the corresponding hospital as shown in FIG. 4. The hospital terminal 300 is a hospital CRM program and may display the current time, detailed status of reservations and receptions, and detailed statistics of visits (divided by month and day). The hospital terminal 300 may minimize hospital administrative tasks by separately displaying waiting patients and visiting patients. Information provided to the hospital terminal 300 may be provided to the hospital terminal 300 by collecting the hospital reservation server 200 with respect to the reservation items of the hospital reservation recommendation device 100, but is not limited thereto, and hospital reservation It may be provided by filtering the reservation item of the recommendation device 100 in the hospital terminal 300. The hospital terminal 300 may store the items shown in FIG. 4 as data, and provide the corresponding contents by dividing by day and month.

The hospital reservation recommendation device 100 and the hospital terminal 300 are devices having at least one interface device, for example, a smartphone, a tablet personal computer, a mobile phone, Video phone, e-book reader, desktop PC, laptop PC, netbook computer, workstation, server, personal digital assistant (PDA), PMP (portable multimedia player), MP3 player, mobile medical device, camera, or wearable device (e.g. smart glasses, headmounted-device (HMD)), electronic clothing, electronic bracelet, electronic necklace, It may include at least one of an electronic appcessory, an electronic tattoo, a smart mirror, or a smart watch.

The network 400 refers to a connection structure capable of exchanging information between respective nodes such as terminals and servers, and may include wireless communication and wired communication. The wireless communication is, for example, a cellular communication protocol, and at least one of, for example, LTE, LTE-A, CDMA, WCDMA, UMTS, WiBro, or GSM may be used. Further, the wireless communication may include, for example, short-range communication. The short-range communication may include, for example, at least one of Wi-Fi, Bluetooth, near field communication (NFC), or global positioning system (GPS). The wired communication may include at least one of, for example, a universal serial bus (USB), a high definition multimedia interface (HDMI), a recommended standard 232 (RS-232), or a plain old telephone service (POTS). . The network 300 may include at least one of a telecommunications network, for example, a computer network (eg, LAN or WAN), the Internet, or a telephone network.

An application for providing hospital reservation recommendation information to a user may be installed and driven in the hospital reservation recommendation device 100, but is not limited thereto.

According to an embodiment of the present invention, the hospital reservation server 200 is connected to the hospital reservation recommendation device 100 and the network 400 to generate a user-customized hospital reservation list in the hospital reservation recommendation device 100. It may include a hospital reservation server 200 or a device that provides a related program to the hospital reservation recommendation apparatus 100 so that the hospital reservation recommendation method can be driven.

Each step of the hospital recommendation reservation method described below may be performed by the hospital reservation recommendation apparatus 100. As another example, each step of the hospital recommendation reservation method may be performed in the hospital reservation server 200. As another example, some of the steps of the hospital recommendation reservation method may be performed by the hospital reservation recommendation apparatus 100, and the remaining steps may be performed by the hospital reservation server 200. For example, the hospital reservation recommendation device 100 receives user input as a part of the hospital recommendation reservation method, transmits the received user input to the server, and displays information transmitted from the server on the screen in response to the user input. In addition, the remaining steps of the method for recommending a hospital reservation may be performed by the hospital reservation server 200. Hereinafter, for convenience of explanation, an example in which a hospital recommendation reservation method is performed in the hospital reservation recommendation apparatus 100 will be described.

Hereinafter, a hospital reservation recommendation apparatus 100 and a hospital reservation recommendation method for generating a hospital recommendation list will be described with reference to FIGS. 2 to 3N.

Referring to FIG. 2, the apparatus 100 for recommending a hospital reservation may include a display unit 110, a reception unit 120, a generation unit 130, a reservation execution unit 140, and a database 150. However, the configuration of the hospital reservation recommendation device 100 shown in FIG. 2 is not limited to those shown above.

According to the exemplary embodiment of the present application, the apparatus 100 for recommending a hospital reservation may acquire health information of a user. For example, referring to FIGS. 3A to 3C, the apparatus 100 for recommending a hospital reservation may acquire user information through a total of three steps. First, the apparatus 100 for recommending a hospital reservation may obtain information on an identity verification procedure using a free call and a messenger application (eg, KakaoTalk). Hospital reservation recommendation device 100 is a user terminal (for example, mobile phone) among the user authentication procedures provided after the corresponding authentication procedure using a free call and messenger application (for example, KakaoTalk) is performed. You can obtain the second user authentication information used. Next, as a procedure for acquiring health information of the user, the hospital reservation recommendation apparatus 100 may acquire information such as a hospital recently visited, a frequently ill area, a past medical history, and drugs to be avoided.

The hospital reservation recommendation apparatus 100 may provide a hospital recommendation list to the user by identifying user information in three steps when registering as a member and assigning a weight to the information when generating a hospital recommendation list.

For example, referring to FIG. 3D, the display unit 110 may display a plurality of treatment item types and a plurality of treatment desired site types on the screen. The multiple types of treatment items correspond to hospital treatment subjects. It may contain an item. The plurality of types of sites desired for treatment may be items including a part of a body such as a waist, heart, skin, ankle, and stomach.

According to the exemplary embodiment of the present disclosure, the display unit 110 may display a screen showing the appearance of a human body in the form of FIGS. 3E and 3F. The receiving unit 120 may receive a first user input for any one of a plurality of treatment item types. In addition, the receiving unit 120 may receive a second user input for any one of a plurality of types of sites desired for treatment. For example, the first user input may select a dermatology clinic, plastic surgery clinic, or orthopedics clinic as an item of a currently required treatment hospital among a plurality of treatment item types. The second user input may select a region where a painful symptom is present among a plurality of types of treatment desired regions (eg, stomach, waist).

The generator 130 may assign a first weight based on a second user input and may assign a second weight based on a second user input. The generation unit 130 may generate a hospital recommendation list in consideration of the first weight and the second weight. The generation unit 130 may generate a hospital recommendation list by prioritizing a result of summing the first weight and the second weight.

The generation unit 130 according to an exemplary embodiment of the present application may generate a hospital recommendation list using a keyword-based artificial intelligence algorithm. The generation unit 130 may web crawl a page of a corresponding hospital based on a specific keyword included in a user's input. In addition, the generation unit 130 may generate a hospital recommendation list based on a keyword according to a user's interest level setting. The generation unit 130 may update by reflecting a user's input in order to place a hospital type having a high user interest at the top. The generation unit 130 may filter and provide only health information necessary for the user.

The reservation execution unit 140 may perform a hospital reservation based on a user input that selects any one hospital item from the hospital recommendation list. The reservation execution unit 140 may transmit the user's reservation information to the hospital terminal 300.

The database 150 may include user's health information and hospital information. The user's health information may be information provided when the user subscribes to a member for recommending a hospital reservation, but is not limited thereto. Hospital information may include location information of the hospital. The location information of the hospital may be information corresponding to location information for each region, location information for each hospital classification, location information for each treatment subject, location information for each specialized field, and location information for an emergency institution. In addition, the hospital information may include hospital evaluation information. Hospital evaluation information may include a review of a consumer (eg, a user who has visited the hospital) and information of an expert. Expert information is included in the evaluation of surgery and disease (e.g., country-selected evaluation grade by hospital), frequent treatment evaluation (top 5 treatment and surgery items by hospital), and patient experience evaluation (customer satisfaction and kindness by hospital). It may be corresponding information. Also, the hospital information may include average medical cost information. The average medical cost information may be information including medical cost information for each injury code and an average medical cost for surrendering salaries. The database 150 may include information filtered by calculating big data based on a database provided by the Health Insurance Review and Assessment Service, but is not limited thereto.

According to an embodiment of the present application, at least one of a plurality of treatment item types and a plurality of treatment desired site types may have a corresponding item type. For example, an otolaryngology clinic corresponding to a plurality of treatment item types may be associated with items such as ears, nose, and mouth among the plurality of treatment desired site types. The generation unit 130 may generate a hospital recommendation list by assigning a third weight when there is an associated item among the plurality of treatment item types and the plurality of treatment item site types. That is, the hospital recommendation list may be generated only with hospital information related to otolaryngology.

According to an exemplary embodiment of the present application, the generation unit 130 may generate a hospital recommendation list by assigning a weight to a type of treatment item based on a user input. For example, if the user selects a dermatology as a desired treatment item type among a plurality of treatment item types, the generation unit 130 may generate a hospital recommendation list by prioritizing an item corresponding to a dermatology when generating a hospital recommendation list. As another example, if the user selects a plurality of (for example, 3) dermatology, plastic surgery, orthopedic surgery as a desired treatment item type from among a plurality of treatment item types, the generation unit 130 corresponds to 1 for each treatment item type. You can create a hospital recommendation list by assigning points by point.

The generation unit 130 may generate a hospital recommendation list by assigning a weight to the type of the site desired to be treated based on the input information on the item of the site desired by the user to be treated. For example, referring to FIG. 3E, the user may input at least one of some parts of the body. Referring to FIG. 3F, when a user inputs at least one of some parts of the body, # waist, # heart, # ankle, # may be displayed in association with a desired treatment site and a specific keyword as above. The generator 130 may assign a weight based on the keyword.

According to an embodiment of the present application, the generation unit 130 assigns a weight based on a user's first input for a plurality of types of treatment department information, and a user's request for input information of an item of a site desired for treatment. 2 A weight is assigned based on the input, and the weights assigned to the user's first input and the user's second input are summed, thereby generating a hospital recommendation list with high ranking hospital data.

Illustratively, referring to 3D and 3F, the first user input for the three treatment items of dermatology, plastic surgery, and orthopedics among a plurality of treatment item types is the type of treatment items of dermatology, plastic surgery, and orthopedics. You can assign a weight of 1 point to each. As another example, if the user has performed a first user input for one of a plurality of types of treatment items, the generation unit 130 may assign a weight of 3 points to the dermatologist, but is not limited thereto. The generation unit 130 assigns a first weight based on a first user input for a plurality of treatment desired item types, and then applies a second weight based on a second user input for any one of the plurality of treatment desired site types. Can be given. The user may select a treatment desired region type corresponding to the skin from among a plurality of treatment desired region types, and the generation unit 130 may assign a second weight to the treatment desired region type corresponding to the skin.

For example, referring to FIG. 3I, an acquisition unit (not shown) may acquire current location information of a user from a user terminal. The user's current location information may be information obtained based on GPS. The generation unit 130 may generate a hospital recommendation list based on the current location information of the user of the acquisition unit (not shown) and location information of a region desired by the user.

For example, referring to FIG. 3G, the generation unit 130 may generate a hospital recommendation list in consideration of a plurality of treatment item types, a plurality of treatment desired site types, and a user's current location information (location information selected by the user). have. As another example, the generation unit 130 may classify and provide a hospital recommendation list based on distance, time, number, rating, and satisfaction. The generation unit 130 is a hospital located near the user's current location in a hospital recommendation list generated based on a first weight assigned based on a first user input and a second weight assigned based on a second user input. In consideration of further, a hospital recommendation list based on distance order may be generated. In addition, the generation unit 130 considers the treatment time of the hospital from the hospital recommendation list generated based on the first weight assigned based on the first user input and the second weight assigned based on the second user input. You can create a hospital recommendation list based on. In addition, the generation unit 130 is the number of people currently waiting for reservation in the hospital in the hospital recommendation list generated based on the first weight assigned based on the first user input and the second weight assigned based on the second user input. Considering this, it is possible to create a hospital recommendation list based on the order of the number of people in the order of the lowest number of waiting people. In addition, the generation unit 130 is the hospital rating of the visit to the hospital from the hospital recommendation list generated based on the first weight assigned based on the first user input and the second weight assigned based on the second user input. Considering this, it is possible to create a hospital recommendation list based on the order of rating. In addition, the generation unit 130 is the hospital satisfaction level of the visit to the hospital from the hospital recommendation list generated based on the first weight assigned based on the first user input and the second weight assigned based on the second user input. Considering, it is possible to create a hospital recommendation list based on the order of satisfaction.

That is, the generation unit 130 generates a hospital recommendation list based on the order of distance, time, number of people, order of rating, order of satisfaction, and the first weight assigned based on the first user input based on the user input of the item desired by the user. And a third weight is assigned to the second weight assigned based on the second user input to generate a hospital recommendation list in the order of the highest weight.

3I is a diagram schematically illustrating information on hospital items selected by a user among items in a hospital recommendation list generated in the order of higher weight. The user may select any one hospital item from the hospital recommendation list, and the display unit 110 may display information on the corresponding hospital. The hospital information may display items such as a map, the location of the hospital, frequent treatment items (top 5 items), treatment hours, and waiting number of the hospital. The user can check detailed information of the hospital, and make phone reservations and mobile reservations and receptions. The reservation execution unit 130 may perform a hospital reservation based on an input of any one of a call item and a reservation/reception item of the user. When the user's input is to make a phone call, the reservation execution unit 130 may perform a phone connection between the user and a corresponding hospital.

In addition, when the user selects an item corresponding to reservation/reception, the reservation execution unit 130 may provide the reservation execution items of FIGS. 3K to 3N. The reservation execution unit 130 may provide hospital information based on a user input that selects at least one hospital item from the hospital recommendation list. As an example, referring to FIG. 3K, the reservation execution unit 130 may provide hospital information selected by a user and enable selection of treatment targets and medical staff treatment days.

Referring to FIG. 3L, the reservation execution unit 130 may perform reservation reception based on an input of a user who adds a person to be treated. The reservation execution unit 130 may make a hospital reservation based on personal information of a user who has logged in to the hospital reservation. In addition, when a person to be treated other than the user is added, the personal information of the person to be treated may be provided as shown in FIG. 3L. The reservation execution unit 130 may perform authentication using the name, gender, date of birth, and the mobile phone number of the additional person to be treated as the personal information of the additional person to be treated.

Referring to FIG. 3M, the reservation execution unit 130 may provide information on medical staff included in a corresponding hospital so that a user can select a medical staff desired. Referring to FIG. 3N, the reservation execution unit 130 may enable a user to select a desired treatment day, and the user may select a desired treatment time.

The reservation execution unit 130 may transmit the user's reservation information to the hospital terminal 400. As shown in FIG. 4, the hospital terminal 400 may grasp information on waiting patients and visiting patients in the current hospital.

According to an embodiment of the present application, FIG. 3J may be a diagram showing information through which a user can view a review of a hospital after visiting a hospital. In addition, FIG. 3J may be for grasping reviews left by users of the hospital before the user visits the hospital. Users can check the reviews of the hospital and make reservations, and can also write reviews after visiting the hospital.

5 is a flowchart showing a schematic flow of a method for recommending a hospital reservation according to an embodiment of the present application. In the hospital reservation recommendation method according to FIG. 5, contents processed by each unit of the hospital reservation recommendation apparatus 100 described through FIGS. 1 to 4 are described. Therefore, even if the contents are not described below, detailed descriptions are omitted since they are included or inferred in the operation description of the apparatus 100 for recommending hospital reservations described with reference to FIGS. 1 to 4.

Referring to FIG. 5, in step S501, the apparatus 100 for recommending a hospital reservation may display a plurality of types of treatment items on the screen. For example, the plurality of types of treatment items may correspond to a hospital capable of treating a patient's disease, such as a medical department of a hospital or a clinic. In step S502, the apparatus 100 for recommending a hospital reservation may receive a first user input for any one of a plurality of treatment item types and a second user input for any one of a plurality of treatment desired site types. For example, the first user input may be a user input for selecting an otorhinolaryngology from among a plurality of treatment item types, and the second user input may be a user input for selecting an ear or nose type from among a plurality of treatment desired site types.

In step S503, the hospital reservation recommendation apparatus 100 assigns a first weight based on a first user input, a second weight based on a second user input, and considers the first weight and the second weight. You can create a list of recommendations. For example, the first weight assigned based on the first user input may be a weight for a user input selecting a plurality of treatment item types. In addition, the second weight assigned based on the second use input may be a weight for a user input that selects at least one of a plurality of treatment desired site types.

In operation S504, the apparatus 100 for recommending a hospital reservation may perform a hospital reservation based on a user input that selects any one hospital item from the hospital recommendation list. For example, a hospital reservation is made by selecting one of the hospital list classified by the type of hospital recommendation list that is close to the distance where the user is currently located, the number of waiting people is low, the rating is high, or the satisfaction of the hospital is high. can do.

The foregoing description of the present application is for illustrative purposes only, and those of ordinary skill in the art to which the present application pertains will be able to understand that it is possible to easily transform it into other specific forms without changing the technical spirit or essential features of the present application. Therefore, it should be understood that the embodiments described above are illustrative in all respects and not limiting. For example, each component described as a single type may be implemented in a distributed manner, and similarly, components described as being distributed may also be implemented in a combined form.

The scope of the present application is indicated by the claims to be described later rather than the detailed description, and all changes or modified forms derived from the meaning and scope of the claims and their equivalent concepts should be interpreted as being included in the scope of the present application.

100: hospital appointment recommendation device
110: display
120: receiver
130: generation unit
140: reservation execution unit
150: database
200: hospital reservation server
300: hospital terminal

Claims (6)

In the hospital reservation recommendation device,
A display unit for displaying a plurality of treatment item types and a plurality of treatment desired site types on the screen;
A receiving unit for receiving a first user input for any one of the plurality of treatment item types and a second user input for any one of the plurality of treatment desired site types;
An acquisition unit that acquires current location information of a user;
A generator that assigns a first weight based on the first user input, assigns a second weight based on the second user input, and generates a hospital recommendation list in consideration of the first weight and the second weight ;
A reservation execution unit that performs a hospital reservation based on a user input selecting one hospital item from the hospital recommendation list; And
Database containing user health information and hospital information,
Including,
The display unit,
Displays a screen showing the appearance of a human body including a plurality of treatment desired regions for receiving the second user input, and when a second user input for a predetermined treatment desired region is received based on the screen, the corresponding treatment The keyword for the desired site is displayed on the screen above,
Display information of a hospital item selected based on a user input that selects any one hospital item from the hospital recommendation list, and the displayed hospital item information is a multi-frequency criterion determined based on the frequency of each treatment item performed in the hospital. Contains the top predetermined number of treatment items,
The generation unit,
A weight is assigned in consideration of the user's health information including information on at least one of the user's recently visited hospital, a frequently ill area, a past medical history, and a drug to be avoided, provided at the time of the user's subscription,
As the number of received first user inputs increases, the first weight value for each of the plurality of first user inputs is set smaller,
Link with at least one of location information included in the hospital information and distance information calculated based on the current location information of the user, treatment time information for the hospital included in the database, waiting number information, rating information, and satisfaction information A hospital reservation recommendation device, characterized in that the hospital recommendation list is classified and provided based on the order of distance, time, number of people, order of rating, and order of satisfaction by further considering the third weight. delete The method of claim 1,
The hospital recommendation list is:
Based on a specific keyword included in the hospital information, the hospital reservation recommendation device to provide by crawling the web page of the hospital from the web. delete The method of claim 1,
The reservation execution unit,
A hospital reservation recommendation device that performs a hospital reservation based on a user's input for any one of additional items to be treated, information of a medical staff of the corresponding hospital, and selection of a treatment day. In the hospital reservation recommendation method performed by the hospital reservation recommendation device,
Displaying a plurality of treatment item types and a plurality of treatment desired sites on a screen;
Receiving a first user input for any one of the plurality of treatment item types and a second user input for any one of the plurality of treatment desired site types;
Obtaining current location information of a user;
Assigning a first weight based on the first user input, assigning a second weight based on the second user input, and generating a hospital recommendation list in consideration of the first weight and the second weight; And
Performing a hospital reservation based on a user input selecting one hospital item from the hospital recommendation list;
Including,
The displaying step,
Displays a screen showing the appearance of a human body including a plurality of treatment desired regions for receiving the second user input, and when a second user input for a predetermined treatment desired region is received based on the screen, the corresponding treatment The keyword for the desired site is displayed on the screen above,
Displaying information of a hospital item selected based on a user input that selects any one hospital item from the hospital recommendation list,
Further include,
The displayed hospital item information includes a predetermined number of treatment items higher than the frequency criteria determined based on the frequency of each treatment item performed in the hospital,
The step of generating the hospital recommendation list,
A weight is assigned in consideration of the user's health information including information on at least one of the user's recently visited hospital, a frequently ill area, a past medical history, and a drug to be avoided, provided at the time of the user's subscription,
As the number of received first user inputs increases, the first weight value for each of the plurality of first user inputs is set smaller,
Location information included in the hospital information and distance information calculated based on the current location information of the user, treatment time information for the hospital included in the database, waiting number information, rating information, and a system linked to at least one of satisfaction information 3 A method for recommending a hospital reservation, characterized in that the hospital recommendation list is classified and provided based on distance, time, number, rating, and satisfaction order by further considering weights.

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