KR20230023547A - Method, server and computer program for feed recommendation using emr big data and providing un-tact veterinary clinic integration solution - Google Patents

Abstract

Provided are a method, server, and computer program for recommending a feed using EMR big data, and providing an untact veterinary clinic integration solution. According to various embodiments of the present invention, the method for recommending a feed using EMR big data and providing an untact veterinary clinic integration solution, in a method performed by a computing device, comprises: a step of providing user interface (UI); and a step of providing a veterinary clinic integration solution providing a service on the use or operation of a veterinary clinic based on a request of a user acquired through the provided UI. Therefore, a veterinary clinic can be conveniently used and operated.

Description

Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data, server and computer program

Various embodiments of the present invention relate to a method, server, and computer program for providing food recommendation and non-face-to-face veterinary hospital integrated solutions using EMR big data.

In general, companion animals are beings that maintain intimacy with people for a long time from BC to today, have a great influence on people's emotions while living with people, and have been recognized as family members.

Recently, as the number of people who regard companion animals as family, centered on the MZ generation, is increasing, the 'Pet+Economy' market, which means companion animal-related consumption, is emerging as an important axis of the industry. In fact, according to the Korea Rural Economic Institute, 2017 The size of the domestic companion animal-related industry, which was around 2 trillion won in 2018, has grown to 3.7 trillion won this year and is expected to grow to 6 trillion won by 2027. For example, the companion animal cafe business is booming, and the size of the companion animal-related market is developing to the extent that department stores and discount stores are competing to open special corners that sell clothes, accessories, food, and rides for pets.

In this way, the companion animal industry is attracting attention as an attractive market due to the increase in related population and expansion of expenditure, and a change in perception of companion animals is generating interest and cost as much as people. In addition, the companion animal industry is an industry that soothes loneliness and can continue to grow in line with demographic and social changes.

On the other hand, companion animals, like humans, are exposed to numerous diseases and diseases, and the number of visits to hospitals for treatment is increasing. Part.

Conventional veterinary hospitals inevitably face-to-face between medical staff and patients due to the use of paper charts, resulting in inefficiency such as cost and time.

In fact, as a result of examining the frequency of face-to-face face-to-face treatment at veterinary hospitals, an average of 5 per treatment was due to contact reasons such as the process of delivering paper charts, the process of filling out the initial examination record with the patient, the process of filling out the patient's questionnaire, and the process of filling out the consent form. More than one encounter occurred.

In addition, as paper charts are used, the cost that veterinary hospitals will bear (cost of creating and maintaining paper charts, storage space required), time (directly converting patient information into data) and manpower (directly finding and delivering patient records to veterinarians) ), etc., there is a problem that various losses occur.

The problem to be solved by the present invention is to provide non-face-to-face treatment reservations and reception of veterinary hospitals, as well as post-management services according to treatment results, electronic charts, and automated customer management services for the purpose of solving the above-mentioned conventional problems. By providing an integrated veterinary hospital solution, users can use the veterinary clinic more conveniently, as well as take care of their companion animals more reliably, and veterinarians can more conveniently use electronic charts and automated customer management. It is to provide feed recommendation using EMR big data and non-face-to-face integrated solution for veterinary hospitals, servers and computer programs that enable veterinary hospitals to operate efficiently.

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

The method for providing feed recommendation and non-face-to-face veterinary hospital integrated solutions using EMR big data according to an embodiment of the present invention for solving the above problems is a method performed by a computing device, a user interface (UI) ) and providing a veterinary hospital integrated solution that provides services related to the use or operation of the veterinary hospital based on the user's request obtained through the provided user interface.

In various embodiments, the providing of the veterinary hospital integrated solution may include selecting a plurality of veterinary hospitals that satisfy the condition information when obtaining a treatment reservation request including condition information from the user, and providing the user with the information. Provides a list of animal hospitals including information on a plurality of selected animal hospitals, and in response to receiving a selection of any one animal hospital among a plurality of animal hospitals included in the provided animal hospital list from the user, the selected one A step of providing a veterinary hospital treatment reservation service performing a treatment reservation operation for the veterinary hospital may be included.

In various embodiments, the providing of the veterinary clinic reservation service may include providing the user with information on a date and time available for reservation of the selected animal hospital, and based on the provided date and time information on a reservation available Receiving selection of a specific date and time from the user, transmitting a request for appointment of treatment for the selected specific date and time to a server of the selected animal hospital, and in response to the transmitted request for appointment of treatment, the selected one Obtaining approval or rejection of the transmitted medical treatment reservation request from a server of one animal hospital, and when approval of the transmitted medical treatment reservation request is obtained from a server of the selected one animal hospital, the selected specific The method may include determining a medical treatment reservation for a date and time, and providing a medical treatment reservation notification to the user at predetermined intervals from the time when the medical treatment reservation is confirmed to the selected specific date and time.

In various embodiments, the providing of the veterinary hospital treatment reservation service may include, when the condition information includes distance information, based on the current location of the user, a location preset by the user, or a moving route according to the distance information. Setting a predetermined range, selecting a plurality of animal hospitals located within the predetermined range, and generating a list of animal hospitals including information about the selected plurality of animal hospitals.

In various embodiments, the providing of the veterinary hospital treatment reservation service may include, if there is an animal hospital having a visit history of the user among a plurality of animal hospitals included in the provided animal hospital list, the user's visit history Based on the user's evaluation score for the animal hospital - the user's evaluation score is a rating registered for the animal hospital visited through the provided user interface after the user visited the animal hospital - the evaluation score is a predetermined reference score If it is abnormal, performing a treatment reservation operation for the animal hospital where the user has a visit history, and if the evaluation score is less than a preset reference score, excluding the animal hospital where the user has a visit history from the animal hospital list. can include

In various embodiments, the providing of the veterinary hospital treatment reservation service may include selecting at least one animal hospital that satisfies all of the two or more condition information when the obtained treatment reservation request includes two or more condition information; , If there is no veterinary hospital that satisfies all of the two or more condition information, scores for a plurality of animal hospitals are calculated based on the priority of each of the two or more condition information, and N veterinary hospitals with higher scores are sequentially calculated. It may include selecting a veterinary clinic for the dog.

In various embodiments, the step of providing the veterinary hospital integrated solution includes information on a treatment target from the user after a treatment reservation for the selected animal hospital is confirmed through the veterinary hospital treatment reservation service. When obtaining a request for medical treatment to be treated, providing the user with a medical questionnaire containing a plurality of questions about the subject of medical treatment, and determining a state of the subject of medical treatment using the user's responses to the plurality of questions; The method may further include providing a veterinary hospital treatment reception service that performs a treatment reception operation for the treatment target based on the determined condition of the treatment target.

In various embodiments, the plurality of queries include a plurality of first queries including inquiry contents related to the state of the treatment target and a plurality of second queries including inquiry contents related to the life pattern of the treatment target, The providing of the veterinary hospital medical treatment reception service may include analyzing the user's responses to the plurality of first queries and calculating a state score of the treatment target, and the user's responses to the plurality of second queries. calculating a life pattern score of the subject to be treated by analyzing and correcting the calculated condition score using the calculated life pattern score, and determining the condition of the subject of treatment based on the corrected condition score. can include

In various embodiments, the providing of the veterinary hospital treatment reception service may include the user's response when the state of the treatment target is determined to be in a dangerous state or the state of the treatment target is not determined using the user's response. Provides an additional medical questionnaire, wherein the additional medical questionnaire includes one or more additional questions, and the one or more additional queries are at least one of a query about other treatment subjects having the same attributes as the treatment object and a query input from a veterinarian. It may include steps, which include one.

In various embodiments, the providing of the veterinary hospital treatment reception service may include performing treatment reception for the first animal hospital after a treatment reservation for the first animal hospital is confirmed through the veterinary hospital treatment reservation service, Requesting the server of the second animal hospital to provide treatment data for the treatment target when there is a treatment history at the second animal hospital for the treatment target prior to the appointment of treatment at the first animal hospital; and When treatment data on the subject of treatment is obtained from the server of the second animal hospital, keywords related to the second animal hospital among a plurality of keywords included in the obtained treatment data of the subject of treatment are de-identified, 1 It may include a step of providing to the server of the animal hospital.

In various embodiments, the step of providing the integrated veterinary hospital solution may include, when obtaining a follow-up management request including a treatment result for the treatment target of the user from the user, based on the treatment result for the treatment target. It may include providing a follow-up service.

In various embodiments, the providing of the follow-up service may include information on a plurality of treatment targets, treatment results and prescription information on the plurality of treatment targets, information on a plurality of feeds of different types, and nutrients for each disease. The step of constructing a big data system using condition information, the step of extracting data corresponding to the treatment result of the treatment target from the built big data system, and the treatment of the user through big data analysis of the extracted data. and determining a recommended food for the subject.

In various embodiments, the step of determining the recommended pet food may include comparing the nutrient information of the determined recommended pet food with the nutrient information of the feed currently being consumed by the treatment subject to calculate a similarity between the determined recommended pet food and the currently being consumed pet food. and determining the appropriateness of the feed currently being consumed based on the calculated similarity, and when it is determined that the feed currently being consumed is not appropriate, the information on the determined recommended pet food and the purchase of the determined recommended pet food. It may include providing a link to the user.

In various embodiments, the providing of the follow-up service may include information about a plurality of users, information about a plurality of treatment targets corresponding to each of the plurality of users, treatment results and prescription information for the plurality of treatment targets. , constructing a big data system using product purchase histories of the plurality of users, extracting data corresponding to the treatment results of the treatment target from the built big data system, and big data for the extracted data The method may include determining recommended products for the user's medical treatment target through analysis.

In various embodiments, the providing of the post-management service may include, when hospitalization treatment for the treatment target is required based on the treatment result of the treatment target, performing a hospitalization reception operation for any one of the selected animal hospitals; , When hospitalization at any one of the selected animal hospitals is not possible, selecting any one animal hospital among a plurality of animal hospitals that can be hospitalized based on condition information set by the user and performing a hospitalization reception operation for the treatment target steps may be included.

In various embodiments, the providing of the follow-up service may include, when follow-up treatment for the treatment target is required based on the treatment result of the treatment target, treatment for the treatment target based on a follow-up period for each disease. Determining a cycle, and automatically performing a treatment reservation operation for any one of the selected veterinary hospitals at each determined cycle.

In various embodiments, the providing of the post-management service may include providing a notification to the user for each taking period of the prescribed medicine when a drug for the treatment target is prescribed based on the treatment result of the treatment target. steps may be included.

Feed recommendation and non-face-to-face veterinary hospital integrated solution providing server using EMR big data according to another embodiment of the present invention for solving the above problems is a processor, a network interface, a memory, and loaded into the memory, Including a computer program executed by the processor, the computer program, based on the user's request obtained through the instruction (instruction) and the provided user interface (User Interface, UI) to provide, veterinary hospital It may include instructions that provide an integrated solution for a veterinary hospital that provides services related to the use or operation of.

A computer program according to another embodiment of the present invention for solving the above problems is combined with a computing device, providing a user interface (User Interface, UI) and responding to a user's request obtained through the provided user interface. Based on this, it is a computing device to execute a method of providing feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data, which includes providing a veterinary hospital integrated solution that provides services related to the use or operation of the veterinary hospital. It can be stored on a readable recording medium.

Other specific details of the invention are included in the detailed description and drawings.

According to various embodiments of the present invention, by providing a veterinary hospital integrated solution that provides not only non-face-to-face appointments and receptions of veterinary hospitals, but also post-management services according to treatment results, electronic charts, and automated customer management services, In addition to being able to use the veterinary clinic more conveniently, you can take care of your companion animal more reliably, and from the veterinarian's point of view, the advantages of operating the veterinary hospital more conveniently through electronic charts and automated customer management are the advantages. there is.

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

1 is a diagram showing a system for providing feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data according to an embodiment of the present invention.
2 is a hardware configuration diagram of a server for providing feed recommendation and non-face-to-face veterinary hospital integrated solutions using EMR big data according to another embodiment of the present invention.
3 is a flowchart illustrating a method of providing a medical appointment service of a non-face-to-face veterinary hospital integrated solution in various embodiments.
4 to 8 exemplarily illustrate a user interface (UI) related to a medical treatment reservation service in various embodiments.
9 is a flowchart illustrating a method of providing a medical treatment reception service of a non-face-to-face veterinary hospital integrated solution in various embodiments.
10 and 11 are diagrams illustrating a UI related to a medical treatment reception service according to various embodiments.
12 is a flowchart illustrating a method of providing electronic charts and customer management services of a non-face-to-face veterinary hospital integrated solution in various embodiments.
13 is a diagram exemplarily illustrating UIs related to electronic charts and customer management services in various embodiments.
14 is a flowchart illustrating a method of providing follow-up management services of a non-face-to-face animal hospital integrated solution in various embodiments.
15 to 17 are diagrams exemplarily illustrating nutrient condition information for each disease applicable in various embodiments.

Advantages and features of the present invention, and methods of achieving them, will become clear with reference to the detailed description of the following embodiments taken in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, only these embodiments are intended to complete the disclosure of the present invention, and are common in the art to which the present invention belongs. It is provided to fully inform the person skilled in the art of the scope of the invention, and the invention is only defined by the scope of the claims.

Terminology used herein is for describing the embodiments and is not intended to limit the present invention. In this specification, singular forms also include plural forms unless specifically stated otherwise in a phrase. As used herein, "comprises" and/or "comprising" does not exclude the presence or addition of one or more other elements other than the recited elements. Like reference numerals throughout the specification refer to like elements, and “and/or” includes each and every combination of one or more of the recited elements. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first element mentioned below may also be the second element within the technical spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used in this specification may be used with meanings commonly understood by those skilled in the art to which the present invention belongs. In addition, terms defined in commonly used dictionaries are not interpreted ideally or excessively unless explicitly specifically defined.

The term "unit" or "module" used in the specification means a hardware component such as software, FPGA or ASIC, and "unit" or "module" performs certain roles. However, "unit" or "module" is not meant to be limited to software or hardware. A “unit” or “module” may be configured to reside in an addressable storage medium and may be configured to reproduce one or more processors. Thus, as an example, a “unit” or “module” may refer to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Functions provided within components and "units" or "modules" may be combined into smaller numbers of components and "units" or "modules" or may be combined into additional components and "units" or "modules". can be further separated.

The spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe a component's correlation with other components. Spatially relative terms should be understood as including different orientations of elements in use or operation in addition to the orientations shown in the drawings. For example, if you flip a component that is shown in a drawing, a component described as "below" or "beneath" another component will be placed "above" the other component. can Thus, the exemplary term “below” may include directions of both below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

In this specification, a computer means any kind of hardware device including at least one processor, and may be understood as encompassing a software configuration operating in a corresponding hardware device according to an embodiment. For example, a computer may be understood as including a smartphone, a tablet PC, a desktop computer, a laptop computer, and user clients and applications running on each device, but is not limited thereto.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Although each step described in this specification is described as being performed by a computer, the subject of each step is not limited thereto, and at least a part of each step may be performed in different devices according to embodiments.

Referring to FIG. 1, the system for providing food recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data according to an embodiment of the present invention is a server ( 100), user terminals 201 and 202, a veterinary hospital server 300, and a network 400.

Here, the system for providing food recommendation and non-face-to-face veterinary hospital integrated solutions using EMR big data shown in FIG. 1 is according to an embodiment and its components are according to the embodiment shown in FIG. 1, and the components are It is not limited to the embodiment shown in FIG. 1 and may be added, changed or deleted as needed.

In one embodiment, the server 100 (hereinafter referred to as "server 100") providing food recommendation and non-face-to-face veterinary hospital integrated solutions using EMR big data may provide an integrated veterinary hospital solution.

Here, the veterinary hospital integrated solution is a solution that provides various services related to the use or operation of the veterinary hospital, and may mean providing a service suitable for the user's request based on the user's request. For example, the server 100 may provide a non-face-to-face treatment reservation service, a treatment reception service, and a follow-up service according to the results of treatment at the veterinary hospital according to a request of a user (eg, a customer of a veterinary hospital). In addition, the server 100 may provide an electronic chart service, an automated customer management service, and the like according to a request of a veterinarian or an animal hospital manager/person concerned.

In various embodiments, the server 100 may provide a service corresponding to a user's attribute based on the user's attribute. For example, when the user is a customer of a veterinary hospital, the server 100 may provide any one of a non-face-to-face treatment reservation service, a treatment reception service, and a follow-up service according to the results of treatment at the veterinary hospital, If the user is a manager or a veterinarian of a veterinary hospital, any one of an electronic chart service and an automated customer management service may be provided.

In various embodiments, the server 100 may be connected to a user terminal (eg, a user terminal 201 or a veterinarian terminal 202) through the network 400, and may be connected to an animal in the form of a web or application. We can provide hospital integration solutions.

Here, the user terminal (eg, the user terminal 201, the veterinarian terminal 202) includes an operating system for driving an integrated veterinary hospital solution in the form of a web or application, and outputs UI for various services. It may be a smartphone including a display in at least some area for, but is not limited thereto, as a wireless communication device that ensures portability and mobility, navigation, PCS (Personal Communication System), GSM (Global System for Mobile) communications), PDC(Personal Digital Cellular), PHS(Personal Handyphone System), PDA(Personal Digital Assistant), IMT(International Mobile Telecommunication)-2000, CDMA(Code Division Multiple Access)-2000, W-CDMA(W-Code) Division Multiple Access), Wibro (Wireless Broadband Internet) terminal, smart pad (Smartpad), tablet PC (Tablet PC), and the like, and may include all types of handheld-based wireless communication devices.

In addition, the network 400 refers to a connection structure capable of exchanging information between nodes such as a plurality of terminals and servers, for example, a local area network (LAN) and a wide area network (WAN). area network), the Internet (WWW: World Wide Web), a wired/wireless data communication network, a telephone network, a wired/wireless television communication network, and the like. In addition, wireless data communication networks include 3G, 4G, 5G, 3GPP (3rd Generation Partnership Project), 5GPP (5th Generation Partnership Project), LTE (Long Term Evolution), WIMAX (World Interoperability for Microwave Access), Wi-Fi (Wi-Fi) , Internet (Internet), LAN (Local Area Network), Wireless LAN (Wireless Local Area Network), WAN (Wide Area Network), PAN (Personal Area Network), RF (Radio Frequency), Bluetooth (Bluetooth) network, NFC ( It may include a Near-Field Communication) network, a satellite broadcasting network, an analog broadcasting network, a Digital Multimedia Broadcasting (DMB) network, etc., but is not limited thereto.

In various embodiments, the server 100 may be connected to the veterinary hospital server 300 through the network 400, and various information for recommending feed using EMR big data and providing a non-face-to-face veterinary hospital integrated solution. and various information and data generated by collecting data (e.g., information on animal hospitals, reservation information, medical treatment data, etc.), recommending feed using EMR big data, and providing non-face-to-face integrated solutions for animal hospitals. can provide Here, the animal hospital server 300 may refer to a server that manages and operates various computing devices installed in the animal hospital, but is not limited thereto. Hereinafter, with reference to FIG. 2, the hardware configuration of the server 100 that performs the method of providing feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data will be described.

2 is a hardware configuration diagram of a server for providing feed recommendation and non-face-to-face veterinary hospital integrated solutions using EMR big data according to another embodiment of the present invention.

Referring to FIG. 2 , in various embodiments, the server 100 includes one or more processors 110, a memory 120 that loads a computer program 151 executed by the processor 110, and a bus 130. ), a communication interface 140 and a storage 150 for storing the computer program 151. Here, in FIG. 2, only components related to the embodiment of the present invention are shown. Therefore, those skilled in the art to which the present invention pertains can know that other general-purpose components may be further included in addition to the components shown in FIG. 2 .

The processor 110 controls the overall operation of each component of the server 100. The processor 110 includes a Central Processing Unit (CPU), a Micro Processor Unit (MPU), a Micro Controller Unit (MCU), a Graphic Processing Unit (GPU), or any type of processor well known in the art of the present invention. It can be.

Also, the processor 110 may perform an operation for at least one application or program for executing a method according to embodiments of the present invention, and the server 100 may include one or more processors.

In various embodiments, the processor 110 may temporarily and/or permanently store signals (or data) processed in the processor 110 (RAM: Random Access Memory, not shown) and ROM (ROM: Read -Only Memory, not shown) may be further included. In addition, the processor 110 may be implemented in the form of a system on chip (SoC) including at least one of a graphics processing unit, RAM, and ROM.

Memory 120 stores various data, commands and/or information. Memory 120 may load computer program 151 from storage 150 to execute methods/operations according to various embodiments of the present invention. When the computer program 151 is loaded into the memory 120, the processor 110 may perform the method/operation by executing one or more instructions constituting the computer program 151. The memory 120 may be implemented as a volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.

The bus 130 provides a communication function between components of the server 100 . The bus 130 may be implemented in various types of buses such as an address bus, a data bus, and a control bus.

The communication interface 140 supports wired and wireless Internet communication of the server 100 . Also, the communication interface 140 may support various communication methods other than internet communication. To this end, the communication interface 140 may include a communication module well known in the art. In some embodiments, communication interface 140 may be omitted.

The storage 150 may non-temporarily store the computer program 151 . When a process for providing an integrated veterinary hospital solution is performed through the server 100, the storage 150 may store various types of information required to provide a process for providing an integrated veterinary hospital solution.

The storage 150 may be a non-volatile memory such as read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, or the like, a hard disk, a removable disk, or a device well known in the art. It may be configured to include any known type of computer-readable recording medium.

Computer program 151 may include one or more instructions that when loaded into memory 120 cause processor 110 to perform methods/operations in accordance with various embodiments of the invention. That is, the processor 110 may perform the method/operation according to various embodiments of the present disclosure by executing the one or more instructions.

In one embodiment, the computer program 151 provides a user interface (UI) and provides a service related to the use or operation of an animal hospital based on the user's request obtained through the provided user interface. It may include one or more instructions for performing a method of providing a non-face-to-face integrated veterinary hospital solution and recommending feed using EMR big data, including providing an integrated veterinary hospital solution.

Steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented in a software module executed by hardware, or implemented by a combination thereof. A software module may include random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any form of computer readable recording medium well known in the art to which the present invention pertains.

Components of the present invention may be implemented as a program (or application) to be executed in combination with a computer, which is hardware, and stored in a medium. Components of the present invention may be implemented as software programming or software elements, and similarly, embodiments may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, such as C, C++ , Java (Java), can be implemented in a programming or scripting language such as assembler (assembler). Functional aspects may be implemented in an algorithm running on one or more processors. Hereinafter, with reference to FIGS. 3 to 17, a method of providing feed recommendation and non-face-to-face integrated solution to an animal hospital using EMR big data performed by the server 100 will be described.

3 is a flowchart illustrating a method of providing a medical appointment service of a non-face-to-face veterinary hospital integrated solution in various embodiments, and FIGS. ) is a drawing showing an example.

Referring to FIGS. 3 to 8 , in step S110 , the server 100 may obtain a medical treatment reservation request from the user through the user terminal 201 .

Here, the user is a guardian of a treatment target (eg, a companion animal such as a cat or dog) and may mean a customer using a veterinary hospital, but is not limited thereto.

In various embodiments, the server 100 may be connected to the user terminal 201 through the network 400, may provide a UI to the user terminal 201, and request a medical appointment including condition information through the UI. can be obtained.

Here, the condition information is information about conditions for selecting an animal hospital. For example, the condition information includes distance (eg, within X km), size of the animal hospital, time (eg, time available for reservation, date), treatment It may include attributes of the object (eg, type of treatment object, age, gender, etc.), etc., but is not limited thereto.

In step S120, the server 100 may provide a veterinary hospital treatment reservation service to the user in response to obtaining a medical treatment reservation request including condition information from the user through step S110.

In various embodiments, the server 100 selects a plurality of animal hospitals that satisfy the condition information input by the user, generates a list of animal hospitals including information on the selected plurality of animal hospitals, and provides the user with a list of animal hospitals. In response to selection of any one animal hospital among a plurality of animal hospitals included in the list of animal hospitals from the animal hospital, it is possible to provide an animal hospital treatment reservation service that performs a treatment reservation operation for any one animal hospital, but is not limited thereto. don't

In various embodiments, as shown in FIGS. 4 and 5 , the server 100 may provide the user with map data indicating locations of animal hospitals included in the animal hospital list along with the animal hospital list, but are limited thereto. It doesn't work.

In various embodiments, when the condition information input from the user includes distance information (eg, within X m), the server 100 sets a predetermined range according to the distance information, and sets a plurality of locations within the set predetermined range. Animal hospitals may be selected, and a list of animal hospitals including information on the selected plurality of animal hospitals may be generated and provided to the user.

At this time, as shown in FIG. 4, the server 100 may set a predetermined range around the current location of the user or a location previously set by the user, but is not limited thereto, and when a movement path is input from the user, FIG. 5 As shown in , by setting a predetermined range based on the movement path, it is possible to visit the veterinary hospital more conveniently by considering the user's movement path.

In various embodiments, the server 100 selects a plurality of veterinary clinics that can make a medical appointment at the date and time input by the user, when the condition information input from the user is the date and time information to be reserved, and A list of animal hospitals including information about animal hospitals may be generated and provided to the user.

In this case, when the number of selected animal hospitals exceeds a predetermined number (eg, N), the server 100 evaluates the evaluation based on the evaluation scores for each of the plurality of animal hospitals pre-registered from a plurality of users. A list of veterinary hospitals including information on N veterinary hospitals sequentially starting with veterinary hospitals with high scores may be generated and provided to the user.

In various embodiments, the server 100, when there is an animal hospital with a history of the user's visit among a plurality of animal hospitals included in the list of animal hospitals, the server 100 based on the user's evaluation score for the animal hospital with the user's visit history , It is possible to perform a treatment reservation operation for a veterinary clinic where the user has a history of visits or to exclude a veterinary hospital where the user has a history of visits from the list of animal hospitals.

For example, the server 100 determines that the user has an intention to revisit the animal hospital when the evaluation score of the user for the animal hospital where the user has visited is 3 points or more out of 5 points, and automatically the corresponding animal hospital. It is possible to automatically perform a treatment reservation operation for an animal hospital visited in the past without performing an operation of selecting a specific animal hospital from the user.

On the other hand, if the user's evaluation score for the animal hospital in which the user has visited is less than 3 points out of 5 points, the server 100 is not satisfied with the animal hospital that the user has visited before, and finds another animal hospital, that is, the corresponding Since it is determined that there is no intention of revisiting the veterinary hospital, the veterinary hospital can be excluded from the list of veterinary hospitals.

In various embodiments, when the server 100 receives a search word including one or more keywords (eg, dog, cat, neuter, etc.) from a user, the server 100 has a keyword that matches the keyword included in the search word among a plurality of veterinary hospitals. Only an animal hospital may be selected, and a list of animal hospitals including information about the selected animal hospital may be provided to the user.

More specifically, the server 100 extracts a plurality of keywords by analyzing treatment data and evaluation information of each of a plurality of animal hospitals, and selects the top N keywords among the plurality of extracted keywords as keywords corresponding to each of the plurality of animal hospitals. can be set to For example, the server 100 analyzes the treatment data and evaluation information of the first animal hospital, and when the three most extracted keywords are puppy, neutered, and hospitalized, "dog", "neutered", and "kind" are selected. It can be set as a representative keyword corresponding to the first animal hospital.

At this time, the higher the number of representative keywords corresponding to the animal hospital, the higher the search probability, so the server 100 may increase the number of representative keywords corresponding to the animal hospital in response to receiving a predetermined fee from the animal hospital. .

In addition, when negative keywords such as "unfriendly" and "expensive" are set as representative keywords, the probability of the animal hospital being selected is lowered. At least some of the representative keywords may be deleted or changed to other keywords.

In various embodiments, when two or more conditional information is included in the treatment reservation request, the server 100 selects at least one animal hospital that satisfies both of the two or more conditional information, but the animal hospital that satisfies both of the two or more conditional information. If there is no, it is possible to calculate scores for a plurality of animal hospitals based on the priority of each of two or more conditional information, and sequentially select N animal hospitals from animal hospitals with high calculated scores.

More specifically, the server 100 selects a veterinary hospital that satisfies all three conditional information when receiving inputs of "within distance Nm", "specializing in dogs", and "treatment available after 7:00 pm" as condition information from the user. and can be provided to the user.

At this time, the server 100, when there is no animal hospital that satisfies all three conditional information, based on the priority (eg, the order input from the user or the priority value preset from the user) for each of the three conditional information Calculate a score for each of a plurality of veterinary hospitals (e.g., 5 points if the 1st priority condition information is satisfied, 3 points if the 2nd priority condition information is satisfied, and 1 point if the 3rd priority information is satisfied), N animal hospitals may be sequentially selected from animal hospitals with high calculated scores and provided to the user.

In step S130, the server 100 provides reservation availability date and time information for any one animal hospital selected through step S120 (eg, an animal hospital selected by the user or an animal hospital with a high evaluation score among animal hospitals visited by the user). is provided, and a specific date and time can be selected from the user based on information on a date and time available for reservation (eg, FIG. 6 ).

Here, when the server 100 receives input of the date and time to be reserved as condition information, the server 100 may immediately perform step S140 to be described below without performing an operation of selecting a specific date and time from the user.

In step S140, the server 100 may transmit a request for treatment reservation including information on a specific date and time selected by the user to the corresponding veterinary hospital server 300 through step S130.

In various embodiments, when the server 100 receives selection of the same date and time from two or more users for the same animal hospital, the veterinary hospital server only requests a medical treatment reservation for the user who first selected the date and time among the two or more users. (300), but is not limited thereto, and the server 100 may receive condition information about the user from the veterinary hospital server 300, and condition information among two or more users who select the same date and time A treatment reservation request of a satisfied user may be preferentially transmitted. For example, if conditional information about a user inputted from the veterinary hospital server 300 is a user with a history of visiting, the server 100 treats a user with a history of visiting among two or more users who select the date and time on the same day. A reservation request may be transmitted to the animal hospital server 300 first.

In step S150, the server 100 may obtain approval or rejection of the medical treatment reservation request from the veterinary hospital server 300 that has transmitted the medical treatment reservation request.

In step S160, when the server 100 obtains approval for the request for treatment reservation from the veterinary hospital server 300 through step S150, a treatment appointment for a specific date and time may be confirmed.

In various embodiments, when a medical appointment for a specific date and time is confirmed, the server 100 may use the veterinary hospital server 300 in which the medical appointment is confirmed or a veterinarian terminal belonging to the animal hospital in which the medical appointment is confirmed ( In 202), a UI (eg, FIG. 7 ) for outputting information on a confirmed medical appointment may be provided.

In addition, the server 100 may provide a notification about the reserved medical treatment to the veterinarian terminal 202 based on the information about the confirmed medical treatment reservation, but is not limited thereto.

On the other hand, when the server 100 obtains rejection of the medical treatment reservation request from the veterinary hospital server 300 through step S150, a guide message notifying the user terminal 201 that the medical treatment reservation for a specific date and time has been rejected. can provide. At this time, the server 100 may provide information on the reason why the medical appointment was rejected together with a guide message, but is not limited thereto.

In step S180, when a medical appointment for a specific date and time is confirmed through step S160, the server 100 provides a notification for a medical appointment to the user at predetermined intervals from the time the medical appointment is confirmed to the specific date and time. can

In various embodiments, the server 100 provides a medical appointment notification every preset cycle from the time the medical appointment is confirmed to a specific date and time, but from the time of providing the medical appointment notification to the medical appointment date (eg, specific date and time). time), the attributes of the medical appointment notification may be determined according to the length of the remaining period. For example, the server 100 may output a vibration or audio signal along with notification of a medical appointment in the form of a pop-up message when the length of the remaining period until the appointment date is the first period, and the length remaining until the reservation date is the first period. In the case of the second period shorter than the period, both voice and vibration signals may be output together with the pop-up message.

In various embodiments, the server 100 may receive a request to change or cancel a pre-confirmed medical appointment at the request of a user or a veterinarian, and change or cancel a pre-confirmed medical appointment at the request of a user or a veterinarian. can be performed. For example, as shown in (B) of FIG. 8 , the server 100 may obtain a text input related to a date or time change for a pre-determined medical appointment through a UI, analyze the input text, and Keywords related to the date and time to be changed can be extracted. Thereafter, the server 100 determines whether changes to the pre-determined medical appointment can be made based on the extracted keyword (e.g., determining whether there is no other pre-determined medical appointment at the date and time corresponding to the extracted keyword). ), and depending on the result of the judgment, the pre-confirmed appointment can be changed.

At this time, the server 100 receives a request for a change to a previously confirmed medical appointment from a veterinarian, and when the change is performed based on the user's approval, the server 100 rewards the user with a predetermined reward (eg, points, discount coupons). etc.) can be provided. Meanwhile, when the server 100 receives a request for a change to a pre-determined medical appointment from a user and changes the medical appointment based on the veterinarian's approval, the server 100 does not provide a separate reward, and the user's request According to this, if a medical appointment is changed N times or more, a predetermined penalty may be imposed on the user.

In various embodiments, the server 100 may propose a change to a pre-determined medical appointment based on the condition of the medical treatment target. For example, when the server 100 determines that the condition of the medical treatment target determined based on a medical treatment reception operation to be described later is in a dangerous state, the server 100 provides the user with a pre-determined medical appointment as the earliest possible date and time for a medical appointment. You can suggest changes.

9 is a flowchart illustrating a method of providing a medical treatment reception service of a non-face-to-face veterinary hospital integrated solution in various embodiments, and FIGS. am.

9 to 11, in step S210, the server 100 accepts medical treatment including information on the subject of medical treatment from the user after the medical treatment reservation for any one animal hospital is confirmed through the veterinary hospital medical treatment reservation service. request can be obtained.

In step S220, the server 100 may provide a veterinary hospital treatment reception service to the user in response to obtaining a medical treatment reception request from the user through step S210.

Here, it is described that the medical treatment reception service performed by the server 100 is provided according to a user's request, but is not limited thereto, and until a predetermined time elapses after a medical treatment reservation for a specific animal hospital is confirmed. If medical treatment registration is not performed, or if the length of the remaining period until the medical appointment date is less than a predetermined period, veterinary hospital medical treatment is automatically accepted through the user terminal 201 even without a separate user request. service can be provided.

In various embodiments, when obtaining a request for medical treatment from the user, the server 100 may provide the user with a UI (eg, FIG. 10 ) including a medical questionnaire including a plurality of questions about the medical treatment target.

Here, the plurality of inquiries may include, but are not limited to, a plurality of first queries including inquiry contents related to the state of the treatment subject and a plurality of second inquiries including inquiry contents related to the life pattern of the treatment subject. .

In step S230, the server 100 provides the user's responses to a plurality of questions from the user through the UI, that is, information on the subject to be treated (eg, species, age, gender, etc. of the subject to be treated) and answers to the plurality of questions. can be input.

In step S240, the server 100 may determine the state of the treatment target based on the user's response input through step S230. For example, the server 100 may generate a plurality of queries for determining the state in order to determine the state of the treatment target, and set a score for each of a plurality of options included in each of the plurality of queries. Thereafter, the server 100 may calculate the condition score of the treatment target by increasing or subtracting a pre-set score in response to a user response (one of a plurality of options) based on the user's responses to the plurality of queries, , it is possible to determine the state of the treatment target based on the calculated state score.

For example, the server 100 may determine the state of the treatment target as a dangerous state when the state score of the treatment target is less than the first score, and determine the state of the treatment target as a cautionary state when the first score is greater than or equal to the second score. And if the score is equal to or higher than the second score, the state of the treatment subject may be determined as a health state.

In various embodiments, the server 100 may analyze the user's responses to a plurality of first queries to calculate the state score of the treatment target, and analyze the user's responses to the plurality of second queries to calculate the treatment target's state score. A life pattern score may be calculated, a condition score may be corrected using the life pattern score, and a condition of a subject for treatment may be determined based on the corrected condition score.

That is, the server 100 may determine the state of the treatment target in consideration of not only the current state of the treatment target, but also the life pattern (eg, amount of meal, number of meals, number and time of walks, etc.) of the treatment target.

Here, the server 100 has been described as determining the treatment target as one of danger, caution, or health condition, but is not limited thereto, and the server 100 provides information on a plurality of treatment targets, a plurality of treatments Data corresponding to the treatment target is extracted using a big data system that includes questionnaire responses and treatment results for multiple treatment targets, and the treatment results for the treatment target are analyzed through big data analysis of the extracted data. It can be predicted, and the predicted treatment result can be judged as the state of the treatment target.

In various embodiments, the server 100 may provide an additional medical questionnaire to the user when it is determined that the condition of the subject to be treated is in a dangerous state or the condition of the subject to be treated is not determined using the user's response.

Here, the additional questionnaire may include one or more additional questions, and the one or more additional questions may include questions and answers provided to subjects having the same attributes as the attributes (eg, species, age, gender, condition, etc.) It may include at least one of queries directly input from a veterinarian, but is not limited thereto. For example, the server 100 may request the veterinarian terminal 202 to prepare an additional medical examination form when the state of the treatment subject is not determined using the user's response, and the additional medical examination form prepared through the veterinarian terminal 202 may be sent to the veterinarian terminal 202. It can be provided to the user terminal 201 .

In step S250, the server 100 transmits a request for medical treatment, including a response to the treatment subject information and medical questionnaire input from the user through step S230 and the state of the treatment subject determined through step S240, to the veterinary hospital server 300. can be sent

In various embodiments, the server 100 performs a medical treatment reception for the first animal hospital after the treatment reservation for the first animal hospital is confirmed through the veterinary hospital treatment reservation service, but before the treatment reservation for the first animal hospital. If there is a history of treatment at the second animal hospital for a subject to be treated, the server of the second animal hospital may be requested to provide treatment data for the subject to be treated, and the server of the second animal hospital may request treatment for the subject When the data is obtained, the medical treatment data obtained from the server of the second animal hospital may be provided to the server of the first animal hospital along with a request for medical treatment.

At this time, the server 100 performs keywords related to the second animal hospital (eg, name, location (address) of the second animal hospital) among a plurality of keywords included in the treatment data obtained from the server of the second animal hospital, and treatment. Information about a veterinarian, etc.) can be de-identified (eg, anonymized) to prevent direct exposure of the second animal hospital.

In step S260, the server 100 may obtain approval or rejection of treatment reception from the veterinary hospital server 300 in response to the request for treatment reception transmitted through step S250.

In step S270, the server 100 may confirm acceptance of treatment in response to the request for treatment when treatment reception approval is obtained from the veterinary hospital server 300 through step S260.

In various embodiments, the server 100, when the reception of treatment for a specific user (the user's subject of treatment) is confirmed, the server 300 of the animal hospital where the reception of treatment is confirmed or a veterinarian belonging to the animal hospital where the reception of treatment is confirmed A UI (eg, FIG. 11 ) for outputting information about the confirmed reception of medical treatment to the veterinarian terminal 202 may be provided.

Here, the UI for outputting information on the confirmed treatment reception may be provided according to the request of the veterinarian, but is not limited thereto, and the server 100 automatically displays the veterinarian terminal 202 at the date and time at which the treatment reception is reserved. ) can be provided.

In step S280, the server 100 may provide a guide message informing that the reception of medical treatment is confirmed to the user terminal 201 when the reception of medical treatment is confirmed through step S270.

Meanwhile, the server 100 may provide a guide message informing that the medical treatment application has been rejected to the user terminal 201 when the veterinary hospital server 300 has rejected the medical treatment application through step S260.

12 is a flowchart illustrating a method of providing an electronic chart and customer management service of a non-face-to-face veterinary hospital integrated solution in various embodiments, and FIG. 13 is an example of a UI related to an electronic chart and customer management service in various embodiments. It is a drawing shown as

Referring to FIGS. 12 and 13 , in step S310 , the server 100 may obtain a request for providing a medical examination and examination UI from the veterinarian terminal 202 .

In step S320, the server 100 may provide a medical examination and examination UI to the veterinarian terminal 202 in response to the request for providing the medical examination and examination UI acquired through stage S310.

Here, the medical treatment and examination UI, as shown in FIG. 13 , information generated by performing treatment and examination of the treatment target (eg, a template capable of inputting treatment and examination results or attaching a photo of the treatment target) It may be a UI that outputs

In step S330, the server 100 may receive a medical treatment result and prescription information through the medical treatment and examination UI.

In various embodiments, the server 100 may receive treatment results and prescription information in text form on a template output through a medical examination and examination UI through a text input tool such as a keyboard, but is not limited thereto, and the server ( 100) may receive image-type medical treatment results and prescription information through the touch pen.

In step S340, the server 100 may generate and store medical treatment data based on the medical treatment result and prescription information input through step S330.

At this time, the server 100 performs image analysis on image-type medical treatment results and prescription information, that is, when the medical treatment results and prescription information are received through the touch pen through the medical examination and examination UI. Text can be extracted through the above, and medical treatment data can be created and stored using the extracted text.

In various embodiments, the server 100 extracts one or more keywords from information on a treatment target, treatment results, and prescription information included in a plurality of treatment data, and classifies the plurality of treatment data into categories using the extracted keywords. and can be saved.

Later, when the server 100 obtains a request for providing a treatment and examination UI including information on a specific treatment target from the veterinarian terminal 202, the server 100 classifies it into the same category as the specific treatment target based on the information on the specific treatment target. By providing the processed medical treatment data to the veterinarian terminal 202, the veterinarian can assist in medical treatment and examination so that the veterinarian can perform medical examination and examination of a specific treatment target based on previous medical treatment data.

In step S350, the server 100 may provide generated and stored medical treatment data through step S340. At this time, the server 100 may encrypt the medical treatment data in order to prevent the medical treatment data provided to the user from being leaked to the outside regardless of the user's intention, and send the encrypted medical treatment data to the user terminal 201. It can be provided as, but is not limited thereto.

14 is a flowchart illustrating a method of providing follow-up management services of a non-face-to-face animal hospital integrated solution in various embodiments.

Referring to FIG. 14 , in step S410, the server 100 may obtain a follow-up management request including a medical treatment result for the user's medical treatment target from the user.

In step S420, the server 100 may provide a post-management service for the treatment target based on the treatment result included in the post-management request obtained through step S410.

In various embodiments, the server 100 may provide a food recommendation service for a medical treatment target as a follow-up service.

First, the server 100 provides information on a plurality of treatment targets, treatment results and prescription information on a plurality of treatment targets, information on a plurality of feeds of different types, and nutrient condition information for each disease (e.g., FIGS. 15 to 17). ) can be used to build a big data system. For example, the server 100 transmits information on a plurality of treatment targets, treatment results and prescription information on a plurality of treatment targets, information on a plurality of different types of feed, and nutrient condition information for each disease based on big data. By storing according to the data storage method, a big data system can be built.

Here, the big data-based data collection and storage methods include various technologies that are already known (e.g., big data collection technologies (log collection, crawling, sensing, RSS, Open API) and big data storage technologies (NoSQL, File System, Cloud, network)), and these various known technologies can be selectively applied according to circumstances, and the present specification does not specifically disclose the big data-based data collection and storage method performed by the server 100.

Thereafter, the server 100 may extract data corresponding to the treatment result of the treatment target from the big data system. For example, it is possible to extract only data corresponding to information about the treatment target and treatment results of the treatment target from among a plurality of data pre-stored in the big data system.

Thereafter, the server 100 determines the characteristics of foods used by treatment subjects having the same attributes and treatment results as those of the user's treatment subject through big data analysis of the extracted data, and information on a plurality of different types of foods. It is possible to select a pet food corresponding to the determined characteristic based on, and the selected pet food may be determined as a recommended pet food and recommended to the user.

In various embodiments, the server 100 may verify the appropriateness of the recommended food by comparing nutrient information of the food determined as the recommended food with nutrient condition information for each disease (eg, FIGS. 15 to 17), and the recommended food is appropriate. It can be recommended to the user only if it is judged to be suitable.

In various embodiments, the server 100 calculates a similarity between the recommended food and the food currently being consumed by comparing the nutrient information of the determined recommended food with the nutrient information of the food currently being consumed by the treatment subject, and based on the calculated similarity, the server 100 calculates the similarity between the food and the food. It is possible to determine the appropriateness of the currently consumed feed, and if it is determined that the feed currently being consumed is not appropriate, information on the recommended feed and a link to purchase the recommended feed may be provided to the user, but is not limited thereto.

In various embodiments, the server 100 may provide a product recommendation service for a medical treatment target as a follow-up service.

First, the server 100 provides information on a plurality of users, information on a plurality of treatment targets corresponding to each of the plurality of users, treatment results and prescription information on the plurality of treatment targets, and product purchase histories of the plurality of users. It can be used to build a big data system. Here, the method of constructing the big data system is as described above.

Thereafter, the server 100 may extract data corresponding to the treatment result of the treatment target from the big data system. For example, it is possible to extract only data corresponding to information about the treatment target and treatment results of the treatment target from among a plurality of data pre-stored in the big data system.

Thereafter, the server 100 determines the characteristics of products purchased by users of the treatment target having the same attributes and treatment results as those of the user's treatment target through big data analysis of the extracted data, and selects a product corresponding to the determined characteristics. It may be provided to the user as a recommended product.

In various embodiments, the server 100 may perform a hospitalization reception operation for any one animal hospital (eg, a hospital that performed treatment and examination) when hospitalization treatment is required for a treatment target. At this time, the server 100 determines that one of the veterinary hospitals cannot be admitted to hospital or the hospitalization is not possible due to insufficient space available for hospitalization, condition information set by the user (eg, distance, amount of money). , facility, etc.), selects one animal hospital among a plurality of animal hospitals available for hospitalization, and automatically performs an admission reception operation for the selected animal hospital. However, it is not limited thereto.

In various embodiments, the server 100 determines a treatment cycle for the treatment target based on a follow-up period for each disease, when follow-up treatment is required for the treatment target based on the treatment result of the treatment target, and at the determined cycle. It is possible to perform a treatment reservation operation for any one animal hospital automatically selected every time. However, it is not limited thereto.

In various embodiments, the server 100 may provide a notification to the user for each taking period of the prescribed medicine when a medicine is prescribed for the subject to be treated based on the result of treatment of the subject to be treated. At this time, the server 100 may automatically perform a treatment reservation operation for a veterinary hospital to prescribe additional medicine based on the remaining amount of the prescribed medicine. However, it is not limited thereto.

The method of providing feed recommendation and non-face-to-face veterinary hospital integrated solution using the above-mentioned EMR big data was explained with reference to the flow chart shown in the drawing. For a brief explanation, the method of providing food recommendation and non-face-to-face veterinary hospital integrated solutions using EMR big data has been illustrated and described as a series of blocks, but the present invention is not limited to the order of the blocks, and some blocks are described herein. It may be performed in a different order than shown and performed concurrently or in a different order. In addition, new blocks not described in the present specification and drawings may be added, or some blocks may be deleted or changed.

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

100: Feed recommendation using EMR big data and non-face-to-face veterinary hospital integrated solution provider server
201: user terminal
202: veterinarian terminal
300: animal hospital server
400: Network

Claims (15)

In a method performed by a computing device,
Providing a user interface (User Interface, UI); and
Based on the user's request obtained through the provided user interface, providing a veterinary hospital integrated solution that provides services related to the use or operation of the veterinary hospital,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 1,
The step of providing the veterinary hospital integrated solution,
When obtaining a medical appointment request including condition information from the user, selecting a plurality of animal hospitals that satisfy the condition information, and providing the user with a list of animal hospitals including information on the selected plurality of animal hospitals. And, in response to receiving a selection of any one of the plurality of animal hospitals included in the provided animal hospital list from the user, an animal hospital treatment reservation service that performs a treatment reservation operation for the selected one animal hospital Including the steps of providing,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 2,
The step of providing the veterinary hospital appointment service,
When the condition information includes distance information, a predetermined range is set based on the current location of the user, a location preset from the user, or a movement path according to the distance information, and a plurality of locations located within the set range are set. Selecting an animal hospital and generating a list of animal hospitals including information about the selected plurality of animal hospitals,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 2,
The step of providing the veterinary hospital appointment service,
If there is an animal hospital with a history of visits by the user among a plurality of animal hospitals included in the list of provided animal hospitals, the user's evaluation score for the animal hospital with the user's visit history - the user's evaluation score is the user's evaluation score After visiting the veterinary hospital, the evaluation score registered for the veterinary hospital visited through the user interface provided above is based on - If the evaluation score is equal to or higher than a preset reference score, the user performs a treatment reservation operation for the veterinary hospital where the user has a history of visits. And, if the evaluation score is less than a preset reference score, excluding the animal hospital with the user's visit history from the animal hospital list,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 2,
The step of providing the veterinary hospital appointment service,
When the obtained treatment reservation request includes two or more conditional information, at least one animal hospital that satisfies both of the two or more conditional information is selected, but if there is no animal hospital that satisfies both of the two or more conditional information, the above two Calculating scores for a plurality of animal hospitals based on the priority of each of the above condition information, and selecting N animal hospitals sequentially from the animal hospital with the high calculated score,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 2,
The step of providing the veterinary hospital integrated solution,
When a treatment reception request including information on a treatment target is obtained from the user after a treatment reservation for any one of the selected animal hospitals is confirmed through the veterinary hospital treatment reservation service, the user is directed to the treatment target. providing a medical questionnaire including a plurality of questions about the plurality of questions, using the user's responses to the plurality of questions, determining the state of the treatment target, and treating the treatment target based on the determined state of the treatment target Further comprising providing a veterinary hospital care reception service that performs a reception operation,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 6,
The plurality of queries include a plurality of first queries including inquiry contents related to the state of the treatment target and a plurality of second queries including inquiry contents related to the life pattern of the treatment target,
The step of providing the veterinary hospital treatment reception service,
calculating a state score of the medical treatment target by analyzing responses of the user to the plurality of first queries;
calculating a lifestyle pattern score of the treatment subject by analyzing responses of the user to the plurality of second queries, and correcting the calculated condition score using the calculated lifestyle pattern score; and
Determining the state of the treatment target based on the corrected state score,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 6,
The step of providing the veterinary hospital treatment reception service,
If the condition of the subject to be treated is determined to be in a dangerous state using the user's response or the condition of the subject to be treated is not determined, an additional medical questionnaire is provided to the user, but the additional medical questionnaire includes one or more additional questions. And, the one or more additional queries include at least one of a query for other treatment subjects having the same attribute as the attribute of the treatment target and a query input from a veterinarian.
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 6,
The step of providing the veterinary hospital treatment reception service,
After the treatment reservation for the first animal hospital is confirmed through the veterinary hospital treatment reservation service, treatment reception for the first animal hospital is performed, but prior to the treatment reservation for the first animal hospital, the first animal hospital for the treatment is performed. 2 requesting provision of treatment data for the treatment target to the server of the second animal hospital if there is a medical treatment history at the animal hospital; and
When treatment data on the subject of treatment is obtained from the server of the second animal hospital, keywords related to the second animal hospital among a plurality of keywords included in the obtained treatment data of the subject of treatment are de-identified, 1 Including the step of providing to the server of the animal hospital,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 2,
The step of providing the veterinary hospital integrated solution,
Providing a follow-up management service for the treatment target based on the treatment result when a follow-up management request including a treatment result for the treatment target of the user is obtained from the user,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 10,
In the step of providing the follow-up service,
Building a big data system using information on a plurality of treatment targets, treatment results and prescription information on the plurality of treatment targets, information on a plurality of feeds of different types, and nutrient condition information for each disease;
extracting data corresponding to the treatment result of the treatment target from the built big data system; and
Determining a recommended food for the user's treatment target through big data analysis of the extracted data,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 11,
The step of determining the recommended feed is,
The nutrient information of the determined recommended food is compared with the nutrient information of the food currently being consumed by the treatment subject to calculate a similarity between the determined recommended food and the currently consumed food, and based on the calculated similarity, the currently consumed food Determining the appropriateness of; and
Including the step of providing the user with information about the determined recommended pet food and a purchase link for the determined recommended pet food when it is determined that the feed currently being consumed is not appropriate,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 10,
In the step of providing the follow-up service,
A big data system using information on a plurality of users, information on a plurality of treatment targets corresponding to each of the plurality of users, treatment results and prescription information for the plurality of treatment targets, and product purchase history of the plurality of users building a;
extracting data corresponding to the treatment result of the treatment target from the built big data system; and
Determining a recommended product for the user's treatment target through big data analysis of the extracted data,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 10,
In the step of providing the follow-up service,
If hospitalization treatment is required for the treatment target based on the treatment result of the treatment target, hospitalization reception operation for the selected animal hospital is performed, but hospitalization at the selected animal hospital is not possible. , Selecting one of a plurality of animal hospitals that can be hospitalized based on condition information set by the user and performing a hospitalization reception operation for the treatment target,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data. According to claim 10,
In the step of providing the follow-up service,
When a follow-up treatment for the treatment target is required based on the treatment result of the treatment target, a treatment cycle for the treatment target is determined based on a follow-up period for each disease, and the selected one is automatically performed at each determined cycle. Including the step of performing a treatment reservation operation for one animal hospital,
Feed recommendation and non-face-to-face veterinary hospital integrated solution using EMR big data.

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