System and method for non-face-to-face monitoring of health condition

Abstract

The present invention provides a system and a method for non-face-to-face monitoring of a health condition. The method is a method for non-face-to-face monitoring of the health condition of a subject, performed by a server, and may comprise the steps of: when a monitoring service for a health condition is requested from a user terminal through a dedicated application, generating reservation management information in response to a service selection signal received from the user terminal; and firstly performing AI diagnosis by using treatment information and consultation information received from a service-linked terminal on the basis of the reservation management information, and generating result data of treatment and consultation on the health condition of a subject on the basis of the result of the AI diagnosis, wherein the step of generating the result data comprises the steps of: when the monitoring service for the health condition of the subject corresponds to an initial treatment, generating non-face-to-face consultation information on the health condition of the subject; when the monitoring service for the health condition of the subject corresponds to a subsequent treatment, generating non-face-to-face treatment information on the health condition of the subject; and generating, as result data, a result determined in response to the non-face-to-face treatment information and the non-face-to-face consultation information on the basis of standard data.

Description

Non-face-to-face health status monitoring system and method thereof

[0001] The present invention relates to a non-face-to-face health status monitoring system and method thereof, and more particularly, to a non-face-to-face health status monitoring system and method thereof that can monitor in real time the health status of a companion animal by non-face-to-face real-time AI diagnosis of health abnormalities using a dedicated application, and then providing treatment and consultation based on the diagnosis, thereby enabling early detection of diseases and enabling rapid response and treatment upon detection.

[0002] As the population ages and the number of single-person households increases, people are becoming increasingly self-centered and emotionally devastated. Consequently, the number of people who perceive pets as family members or companions is increasing, and the pet market is also steadily growing.

[0003] Since the National Institute of Animal Science of the Rural Development Administration announced in 2008 that there were approximately 5 million pets in 2 million households in Korea, the number of pet owners has steadily increased. Consequently, the term "pet" has evolved to encompass companion animals that live alongside humans and are like family members, leading to the use of the term "companion animal."

[0004] In most cases where unusual symptoms occur in pets, the pets are taken to an animal hospital for treatment or the symptoms are resolved based on information obtained from people around them or through the internet or phone.

[0005] However, since information obtained from people around you or through the internet or phone often contains incorrect information, it can be difficult to receive treatment. Even when visiting the hospital in person, waiting times at the hospital are long, and there are many cases where the hospital's workload is high and customer service is not provided properly.

[0006] The matters described as background technology above are only intended to enhance understanding of the background of the present invention, and should not be taken as an admission that they correspond to prior art already known to those skilled in the art.

[0007] (Prior literature)KR10-2003-0032088 A

[0008] The problem to be solved by the present invention is to provide a non-face-to-face monitoring system for health status and a method therefor.

[0009] 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.

[0010] According to an embodiment of the present invention for solving the above-described problem, a non-face-to-face health status monitoring method performed by a server comprises: a step of generating reservation management information in response to a service selection signal received from a user terminal when a health status monitoring service is requested from the user terminal through a dedicated application; and a step of first performing an AI diagnosis using treatment information and consultation information received from a service-linked terminal based on the reservation management information, and generating result data of treatment and consultation on the health status of a subject based on the AI ​​diagnosis result; wherein the step of generating the result data may include: a step of generating non-face-to-face consultation information on the health status of the subject when the monitoring service on the health status of the subject is a first-time treatment; a step of generating non-face-to-face treatment information on the health status of the subject when the monitoring service on the health status of the subject is a re-treatment; and a step of generating a result determined in response to the non-face-to-face treatment information and the non-face-to-face consultation information based on standard data as result data.

[0011] In one embodiment of the present invention, the step of generating non-face-to-face treatment information on the health status of the subject may include: a step of generating first non-face-to-face treatment information including treatment progress information on the health status based on user information and hospital linkage information, AI diagnosis results, and treatment request information received from the service-linked terminal; a step of performing non-face-to-face treatment based on the first non-face-to-face treatment information; a step of generating second non-face-to-face treatment information corresponding to the non-face-to-face treatment; and a step of generating the non-face-to-face treatment information using the first non-face-to-face treatment information and the second non-face-to-face treatment information.

[0012] In one embodiment of the present invention, the step of generating the non-face-to-face treatment information may include: a step of requesting additional data from the user terminal; a step of generating third non-face-to-face treatment information in which the additional data is reflected when the additional data is received; and a step of generating the non-face-to-face treatment information using the first to third non-face-to-face treatment information.

[0013] In one embodiment of the present invention, the step of generating non-face-to-face consultation information on the health status of the subject may include: a step of generating pre-questionnaire information for the subject; a step of generating first non-face-to-face consultation information using the pre-questionnaire information based on the standard data; a step of conducting real-time non-face-to-face consultation based on the first non-face-to-face consultation information; a step of generating second non-face-to-face consultation information corresponding to the non-face-to-face consultation; and a step of generating the non-face-to-face consultation information using the first non-face-to-face consultation information and the second non-face-to-face consultation information.

[0014] In one embodiment of the present invention, after completing a real-time non-face-to-face consultation, if a visit reservation is required, the method may include: a step of creating visit reservation information; a step of creating visit treatment information corresponding to a visit treatment if a visit treatment is performed based on the visit reservation information; and a step of creating the result data including the visit treatment information.

[0015] In one embodiment of the present invention, the method may further include a step of generating customized recommendation information corresponding to treatment and consultation regarding the health status of the subject based on the user information and the hospital-linked information.

[0016] In addition, a non-face-to-face monitoring system for health status according to another embodiment of the present invention for solving the above-described problem includes: a user terminal requesting a monitoring service for health status through a dedicated application; a service-linked terminal generating hospital-linked information to execute treatment and consultation of a subject; and a management server generating reservation management information in response to a service selection signal received from the user terminal when a monitoring service for health status is requested from the user terminal through the dedicated application, and generating result data of treatment and consultation of the subject's health status using treatment information and consultation information received from the service-linked terminal based on the reservation management information; wherein, when the monitoring service for the subject's health status is a first-time treatment, the management server generates non-face-to-face consultation information for the subject's health status, and when the monitoring service for the subject's health status is a re-treatment, the management server generates non-face-to-face treatment information for the subject's health status, and can generate a result determined in response to the non-face-to-face treatment information and the non-face-to-face consultation information based on standard data as result data.

[0017] A program according to one embodiment of the present invention is combined with a computer as hardware, and is stored in a computer-readable recording medium so as to perform the non-face-to-face monitoring method for the health condition.

[0018] Other specific details of the present invention are included in the detailed description and drawings.

[0019] According to the present invention, the health status of a companion animal can be monitored in real time using a dedicated application to enable early detection of disease and prompt response and treatment upon detection by diagnosing the health status of the companion animal in real time using AI for signs of health abnormalities and then providing treatment and consultation based on the diagnosis.

[0020] According to the present invention, when an abnormality occurs in the health of a subject of examination, particularly a companion animal, a portable terminal can be used to quickly and accurately diagnose and consult the companion animal's current condition in real time without face-to-face contact, thereby providing trust to the companion animal's guardian.

[0021] According to the present invention, by accurately diagnosing the current condition of a companion animal in real time using a portable terminal, convenience and reliability can be increased while respecting the diversity of users.

[0022] According to the present invention, by receiving hospital-related information about the current condition of the companion animal, the companion animal's disease can be treated at an early stage at a hospital capable of responding to the companion animal's disease, thereby protecting the companion animal's health.

[0023] According to the present invention, by sharing the results of a pet's examination with a linked service, the pet's condition can be more accurately identified and responded to, thereby providing a sense of trust to the pet's guardian.

[0024] 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.

[0025] FIG. 1 is a conceptual diagram illustrating a non-face-to-face monitoring system for health status according to one embodiment of the present invention.

[0026] Figure 2 is a drawing for explaining the detailed configuration of the non-face-to-face monitoring system for health status illustrated in Figure 1.

[0027] FIG. 3 is a drawing for explaining a non-face-to-face monitoring method for health status according to one embodiment of the present invention.

[0028] Figure 4 is a drawing for explaining the steps for generating the result data shown in Figure 3.

[0029] Figure 5 is a diagram for explaining the steps for generating non-face-to-face consultation information.

[0030] The advantages and features of the present invention, and the methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided solely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the present invention, and the present invention is defined solely by the scope of the claims.

[0031] The terminology used herein is for the purpose of describing embodiments only and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise. As used herein, the terms "comprises" and / or "comprising" do not exclude the presence or addition of one or more other components in addition to the mentioned components. Like reference numerals refer to like components throughout the specification, and "and / or" includes each and any combination of one or more of the mentioned components. Although "first", "second", etc. are used to describe various components, these components are not limited by these terms. These terms are only used to distinguish one component from another. Therefore, it should be understood that a first component mentioned below may also be a second component within the technical spirit of the present invention.

[0032] Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used in their common sense to those skilled in the art to which the present invention pertains. Furthermore, terms defined in commonly used dictionaries are not to be interpreted ideally or excessively unless explicitly and specifically defined otherwise.

[0033] Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings.

[0034] FIG. 1 is a conceptual diagram for explaining a non-face-to-face monitoring system for health status according to one embodiment of the present invention, and FIG. 2 is a diagram for explaining a detailed configuration of the non-face-to-face monitoring system for health status illustrated in FIG. 1.

[0035] As illustrated in FIGS. 1 and 2, a non-face-to-face monitoring system (1) for health status according to one embodiment of the present invention may include a user terminal (10), a management server (20), a service-linked terminal (30), and an administrator terminal (40).

[0036] Here, the user terminal (10), management server (20), service connection terminal (30), and administrator terminal (40) can transmit and receive data in real time by synchronizing using a wireless communication network. Wireless communication networks can support various long-distance communication methods, such as Wireless LAN (WLAN), Digital Living Network Alliance (DLNA), Wireless Broadband (Wibro), World Interoperability for Microwave Access (Wimax), Global System for Mobile communication (GSM), Code Division Multi Access (CDMA), Code Division Multi Access 2000 (CDMA2000), Enhanced Voice-Data Optimized or Enhanced Voice-Data Only (EV-DO), Wideband CDMA (WCDMA), High Speed ​​Downlink Packet Access (HSDPA), High Speed ​​Uplink Packet Access (HSUPA), IEEE 802.16, Long Term Evolution (LTE), Long Term Evolution-Advanced (LTEA), Wireless Mobile Broadband Service (WMBS), Bluetooth Low Energy (BLE), Zigbee, and Radio Frequency (RF). Various communication methods such as LoRa (Long Range), LoRa (Frequency), etc. can be applied, but are not limited to these, and various widely known wireless communication or mobile communication methods can also be applied.

[0037] First, in this embodiment, a non-face-to-face monitoring system (1) for health status is used to diagnose health abnormalities in a pet, for example, a pet, particularly a dog, by AI, and then non-face-to-face treatment and consultation are provided using the AI ​​diagnosis results, but this is not limited thereto. For example, it is possible to non-face-to-face diagnose and consult on the health status of various animals, including mammals such as cats, vertebrates such as birds, reptiles, amphibians, and fish, and invertebrates such as arthropods and mollusks, living with a guardian, companion, or dog owner (hereinafter referred to as a guardian), as well as non-face-to-face diagnose and consultation on the health status of humans.

[0038] The user terminal (10) is a portable terminal carried by the guardian of the companion animal (11), and can operate using an application program (or application) in the present disclosure, and such an application program can be downloaded from an external server or a management server (20) via wireless communication. For example, the user terminal (10) may include various terminals such as a smart phone, a PDA (Personal Digital Assistant), a tablet, a wearable device (e.g., a smartwatch, a smart glass, a head mounted display (HMD), etc.), and various IoT (Internet of Things) terminals, but is not limited thereto.

[0039] Such a user terminal (10) can execute a health status monitoring service provided from a management server (20) to diagnose the health status of a companion animal (11) remotely using AI and then provide treatment and consultation in response to the diagnosis.

[0040] Specifically, when non-face-to-face treatment and non-face-to-face consultation are required regarding the health status of a companion animal (11), the user terminal (10) can generate photographed data containing information that can confirm the health status of the companion animal (11).

[0041] In this embodiment, the photographed data may include external data such as teeth, gums, eyes, ears, nose, face, body, legs, head, skin, and fur that can confirm the external health status of the companion animal (11), and internal data such as vomiting, diarrhea, respiratory abnormalities, coughing, runny nose, vitality, decreased appetite, ingestion of foreign bodies, and abnormal urination and defecation, but is not limited thereto.

[0042] At this time, the shooting data may be an image, but is not limited thereto, and may be a video longer than 10 seconds.

[0043] According to an embodiment, the user terminal (10) can automatically adjust the brightness and clarity of the shooting data by taking into consideration the surrounding environment, movement, shaking, lighting, etc.

[0044] In addition, the user terminal (10) can connect to a separate application that provides a non-face-to-face monitoring system (1) for health status, transmit user information including photographed data to the management server (20) non-face-to-face, and receive and output result data generated in response to the photographed data based on standard data.

[0045] At this time, the user information may include photographed data of the pet's (11) appearance, basic data of the pet (11) that can be entered by the guardian, and external data that can be provided from an external source. The basic data may include information such as age, weight, sex, neutering, breed, presence or absence of disease (including presence or absence of allergies), grooming information, appearance, and rearing environment, and the external data may include information received from an external company such as vaccination information, treatment information, presence or absence of allergies, and grooming information, but is not limited thereto, and may include priorities such as preferences of hospitals and medical staff.

[0046] In addition, the result data may be AI diagnosis results on the health status of a companion animal (11) using shooting data based on standard data, and data on treatment and consultation corresponding to the AI ​​diagnosis results, but is not limited thereto, and if the companion animal (11) has a disease, information on the progression stage of each disease may be included.

[0047] Depending on the embodiment, the result data may include prescription data that can manage the disease of the companion animal (11), such as disease-specific prescription diet, exercise method, eating pattern, drug treatment, and recommended feed.

[0048] In addition, standard data is data generated through repeated learning based on big data, and may include standard health data generated using standard shooting data based on standard user information, and standard result data that matches standard health data in response to standard shooting data.

[0049] At this time, the standard user information may include standard basic data, standard photographing data, and standard external data. The standard basic data includes guardian information, abandonment information, hospital record information, unique identification number, age, weight, sex, neutering, breed, presence of disease (including presence of allergies), grooming information, appearance, and rearing environment, etc., and the guardian information includes contact information, etc., and the hospital record information may include vaccination information, treatment information, presence of allergies, and grooming information, etc. The standard photographing data includes images or videos of the body of the companion animal (11) providing the standard basic data, and the standard external data may include, but is not limited to, information received from an external company such as vaccination information, treatment information, presence of allergies, and grooming information.

[0050] Standard result data may be data that determines the presence or absence of a disease in a health condition using standard photographing data, but is not limited thereto. If a companion animal (11) has a disease, information on the progression stage of each disease may also be included.

[0051] Depending on the embodiment, the standard result data may include standard prescription data that can manage diseases of companion animals (11), such as disease-specific prescription diets, exercise methods, meal patterns, drug treatments, and recommended feeds.

[0052] Depending on the embodiment, the standard result data can be judged by the naked eye, but is not limited thereto.

[0053] According to an embodiment, a user terminal (10) can utilize a health status monitoring service through a guardian's membership registration. That is, the user terminal (10) can input basic user data in advance during or after membership registration, and external data can be provided from an external server based on the user information and stored in the management server (20).

[0054] In contrast, the user terminal (10) can use the health status monitoring service on a one-time basis without membership registration through membership registration of a guardian.

[0055] Meanwhile, when the user terminal (10) uses a health status monitoring service to perform non-face-to-face treatment, real-time non-face-to-face consultation, and home visit treatment, it is preferable that the payment process be performed through a payment service provided by a separate payment server (not shown) or management server (20). The payment process is omitted as it is a publicly known technology.

[0056] In addition, when a user terminal (10) requests a monitoring service for health status, it can transmit user information, then receive customized recommendation information for non-face-to-face treatment for the health status of a companion animal (11) corresponding to the user information, and generate a service selection signal corresponding thereto.

[0057]

[0058] *Specifically, if the user terminal (10) is a first-time patient, upon requesting non-face-to-face treatment, the user terminal (10) may request real-time non-face-to-face consultation or home visit treatment based on an AI diagnosis. In other words, the user terminal (10) cannot request non-face-to-face treatment if it is a first-time patient.

[0059] More specifically, in the case of a first-time visit, the user terminal (10) can request real-time non-face-to-face consultation in response to an AI diagnosis.

[0060] For example, when a user terminal (10) requests a real-time non-face-to-face consultation, pre-questionnaire information is generated, an AI diagnosis is performed using the pre-questionnaire information, and real-time non-face-to-face consultation can be executed using consultation reservation information generated in real time using the pre-questionnaire information and the AI ​​diagnosis result.

[0061] At this time, the pre-examination information may include basic data and information that can be used to determine the health status of the companion animal (11), such as current health status, appetite, vitality, and treatment information. Information on the current health status may be in the form of text, images, or videos.

[0062] According to an embodiment, after consultation reservation information is completed, the user terminal (10) can generate pre-questionnaire information and transmit it to the management server (20).

[0063] According to an embodiment, when requesting a non-face-to-face treatment, if it is the first treatment, the user terminal (10) may generate preliminary questionnaire information when requesting a real-time non-face-to-face consultation, then receive customized recommendation information for real-time non-face-to-face consultation from the management server (20), then generate a service selection signal corresponding to the customized recommendation information, and execute real-time non-face-to-face consultation according to the consultation reservation information. At this time, the customized recommendation information may include information about the hospital such as the hospital name, medical staff, hospital location, contact information, available reservation dates and times, and treatment reviews according to the current condition or disease state of the companion animal (11) using the hospital linkage information received from the service linkage terminal (30). At this time, the location of the hospital may be provided with a road view or a map, and the available reservation dates and times may be provided with a calendar and a clock.

[0064] Hospital linkage information may include hospital linkage information of a service linkage terminal (30) at a hospital where treatment and consultation are available.

[0065] Depending on the embodiment, the customized recommendation information may include hospital information located in close proximity to the current location or a specified location of the user terminal (10) with priority given to the location.

[0066] According to an embodiment, when the user terminal (10) receives a request for additional data from the management server (20) prior to a real-time non-face-to-face consultation, the user terminal (10) may transmit the additional data to the management server (20). At this time, the additional data may be composed of text, images, and videos.

[0067] For example, if the user terminal (10) creates pre-questionnaire information before a real-time non-face-to-face consultation and then creates consultation reservation information to complete a reservation for a real-time non-face-to-face consultation, it can receive a request for additional data.

[0068] In contrast, when a user terminal (10) requests non-face-to-face treatment, if it is the first treatment, the user terminal can perform real-time non-face-to-face consultation using the AI ​​diagnosis results and then perform a home visit treatment based on the judgment of the medical staff.

[0069] Specifically, the user terminal (10) can perform a home visit treatment through the home visit reservation information after completing a real-time non-face-to-face consultation based on the diagnosis result by AI diagnosis.

[0070] More specifically, the user terminal (10) can create visit reservation information at the request of medical staff who have completed a real-time non-face-to-face consultation, and then execute a visit treatment according to the visit reservation information.

[0071] For example, the user terminal (10) can complete a real-time non-face-to-face consultation based on the diagnosis result by AI diagnosis, and then create a visit reservation information through the hospital where the non-face-to-face consultation was completed, and then execute a visit treatment according to the visit reservation information.

[0072] According to an embodiment, after completing a real-time non-face-to-face consultation, the user terminal (10) receives customized recommendation information for a home visit from the management server (20), then generates a service selection signal corresponding to the customized recommendation information, and executes the home visit according to the corresponding visit reservation information.

[0073] At this time, customized recommendation information can be provided according to the guardian's priority.

[0074] For example, customized recommendation information can be provided based on priorities set by guardians, such as treatment reviews, medical staff, hospital location, available dates, and available times.

[0075] According to an embodiment, the user terminal (10) can create visit reservation information at the request of a guardian who has completed a real-time non-face-to-face consultation, and then execute a visit treatment according to the visit reservation information.

[0076] In addition, when a user terminal (10) requests a monitoring service for health status, it can transmit user information and then perform non-face-to-face real-time treatment based on the AI ​​diagnosis result for the health status of the companion animal (11) corresponding to the user information.

[0077] Specifically, when requesting non-face-to-face treatment, if it is a re-examination rather than a first visit, the user terminal (10) can request non-face-to-face treatment or real-time non-face-to-face consultation based on the AI ​​diagnosis results. That is, if the medical record information recorded through the home visit is shared, the user terminal (10) can perform non-face-to-face treatment for the health status of the companion animal (11). In this case, the medical record information can be shared with another server and checked on a service-linked terminal (30) that can be shared.

[0078] For example, when requesting non-face-to-face treatment, the user terminal (10) can create treatment reservation information, upload treatment request information, and then execute non-face-to-face treatment according to the treatment reservation information. At this time, the treatment request information is information that can determine the current health status of the companion animal (11), and can be composed of text, images, or videos.

[0079] According to an embodiment, when a user terminal (10) requests a monitoring service for a health status, it transmits user information, and then receives customized recommendation information for non-face-to-face real-time treatment for the health status of a companion animal (11) corresponding to the user information, and generates a service selection signal corresponding thereto.

[0080] In addition, when a user terminal (10) requests a monitoring service for health status, it can transmit user information, then receive customized recommendation information for a home visit for the health status of a companion animal (11) corresponding to the user information, and generate a service selection signal corresponding thereto.

[0081] Specifically, the user terminal (10) may request a home visit through a health status monitoring service at the request of a first-time visitor, medical staff, or guardian.

[0082] For example, when a user terminal (10) requests a home visit, it can create a home visit reservation information and then perform a face-to-face home visit according to the home visit reservation information.

[0083] According to an embodiment, the user terminal (10) can create pre-question information before and after creating visit reservation information.

[0084] In addition, the user terminal (10) can display a reservation completion signal for a service selection signal generated in response to medical appointment information, consultation appointment information, and visit appointment information on the screen.

[0085] In addition, the user terminal (10) can receive the result data of diagnosis and consultation on the health status of a companion animal (11) using at least one of user information, pre-examination information, and treatment request information.

[0086] Additionally, the user terminal (10) can store a plurality of application programs (or applications) running on the user terminal (10), data for the operation of the user terminal (10), and commands. At least some of these application programs can be downloaded from an external server via wireless communication.

[0087] According to an embodiment, when the user terminal (10) receives standard data from the management server (20) or the administrator terminal (40), the user terminal (10) can generate result data using the standard data.

[0088] Additionally, the user terminal (10) can generate a feedback signal for the health status monitoring service after or during use and transmit it to the management server (20). Alternatively, the user terminal (10) can transmit it even before using the service.

[0089] According to an embodiment, the user terminal (10) can receive a control signal corresponding to a feedback signal in real time from the management server (20) before, during, or after using the service.

[0090] At this time, the feedback signal may include information such as satisfaction, accuracy, and reliability of the service's result data, while the control signal may include information about service improvements or updates corresponding to the feedback signal. The control signal may include event information. Event information may include, but is not limited to, advertisements or information about discounts or promotions for the service.

[0091] In other words, the user terminal (10) can remotely diagnose and consult on the health status of a companion animal (11) regardless of time and location using a portable terminal. Accordingly, the health status of the companion animal (11) can be assessed, diseases can be treated early, and the companion animal (11)'s health can be protected, thereby respecting the diversity of guardians while enhancing convenience and reliability.

[0092] The management server (20) may include a data communication unit (200), a database unit (220), a monitoring unit (240), and a management control unit (260).

[0093] The data communication unit (200) can transmit and receive data with a user terminal (10), a service-linked terminal (30), or an administrator terminal (40).

[0094] The database unit (220) can store data transmitted and received with a user terminal (10), management server (20), service-linked terminal (30), or administrator terminal (40) via a wireless communication network. At this time, standard data can be updated and stored in real time in response to result data.

[0095] The database unit (220) can store data supporting various functions of the management server (20). That is, the database unit (220) can store a number of application programs (or applications) running on the management server (20), data for the operation of the management server (20), and commands. At least some of these application programs can be downloaded from an external server via wireless communication.

[0096] The monitoring unit (240) can monitor the operating status of the user terminal (10), management server (20) or administrator terminal (40), and data transmitted and received between the user terminal (10), management server (20) or administrator terminal (40) through the screen. That is, by checking the usage status of the user terminal (10) in real time, it is possible to provide more trust to the guardian by making the guardian's use more convenient.

[0097] When the management control unit (260) receives user information from the user terminal (10), it performs an AI diagnosis in response to the user information based on standard data, and then, based on the AI ​​diagnosis result, it can generate result data that determines the health status of the companion animal (11) using non-face-to-face treatment information and non-face-to-face consultation information.

[0098] Specifically, the management control unit (260) may generate reservation management information in response to a service selection signal when a non-face-to-face treatment and real-time consultation regarding the health status of a companion animal (11) is requested from a user terminal (10) using photographed data of the health status of the companion animal (11) based on basic data and external data among user information. At this time, the reservation management information may include treatment reservation information for non-face-to-face treatment, consultation reservation information for non-face-to-face consultation, and visit reservation information for home visit treatment.

[0099] More specifically, when a non-face-to-face treatment is requested by a user terminal (10), the management control unit (260) can provide a monitoring service by determining whether it is a first-time treatment or a repeat treatment.

[0100]

[0101] First, in the case of a first-time treatment, the management control unit (260) can provide a monitoring service for real-time non-face-to-face consultation to the user terminal (10).

[0102] Specifically, when a user terminal (10) requests a real-time non-face-to-face consultation, the management control unit (260) can receive pre-questionnaire information and then execute a real-time non-face-to-face consultation using consultation reservation information based on the pre-questionnaire information. At this time, the management control unit (260) can perform an AI diagnosis using the pre-questionnaire information before executing the non-face-to-face consultation and execute the non-face-to-face consultation based on the AI ​​diagnosis results.

[0103] For example, the management control unit (260) can generate consultation reservation information in response to a service selection signal received from a user terminal (10) based on pre-questionnaire information. Here, the generated consultation reservation information can be transmitted in real time to the user terminal (10) and the service-linked terminal (30).

[0104] At this time, the pre-examination information may include basic data and information that can be used to determine the health status of the companion animal (11), such as current health status, appetite, vitality, and treatment information. Information on the current health status may be in the form of text, images, or videos.

[0105] According to an embodiment, the management control unit (260) may generate consultation reservation information and then receive pre-question information from the user terminal (10).

[0106] According to an embodiment, the management control unit (260) may generate customized recommendation information using user information and hospital linkage information based on pre-questionnaire information, and then provide the information to the user terminal (10). At this time, the customized recommendation information may include information about the hospital, such as the hospital name, medical staff, hospital location, contact information, available reservation dates and times, and treatment reviews, depending on the current condition or disease state of the companion animal (11) using the hospital linkage information received from the service linkage terminal (30). The location of the hospital may be provided with a road view or a map, and the available reservation dates and times may be provided with a calendar and clock.

[0107] In addition, the hospital linkage information may include hospital linkage information of a service linkage terminal (30) for hospitals that provide non-face-to-face treatment, non-face-to-face consultation, and home visit treatment.

[0108] Accordingly, the management control unit (260) can generate consultation reservation information based on the service selection signal of the user terminal (10) corresponding to the customized recommendation information.

[0109] According to an embodiment, the management control unit (260) may provide customized recommendation information to the user terminal (10) by taking into account the guardian's priority.

[0110] In addition, the management control unit (260) can generate non-face-to-face consultation information in real time using consultation information for non-face-to-face consultation executed based on consultation reservation information.

[0111] Specifically, the management control unit (260) can create first non-face-to-face consultation information using user information and pre-questionnaire information based on standard data, then create second non-face-to-face consultation information through non-face-to-face consultation conducted in real time based on the first non-face-to-face consultation information, and then create non-face-to-face consultation information using the first non-face-to-face consultation information and the second non-face-to-face consultation information.

[0112] The first non-face-to-face consultation information may include the diagnosis results obtained by performing an AI diagnosis using user information and pre-questionnaire information.

[0113] Depending on the embodiment, the first non-face-to-face consultation information may include data that matches user information and pre-questionnaire information based on standard data.

[0114] Depending on the embodiment, the first non-face-to-face consultation information may include data visually determined using the photographed data included in the user information.

[0115] The second non-face-to-face consultation information may include information recommending health checkups and home visits for companion animals (11) based on the results of consultations with medical staff.

[0116] According to an embodiment, the management control unit (260) may request additional data from the user terminal (10) prior to a real-time non-face-to-face consultation and generate non-face-to-face consultation information reflecting the additional data in real time. The additional data may be comprised of text, images, and videos.

[0117] According to an embodiment, the management control unit (260) may request additional data from the user terminal (10) prior to real-time non-face-to-face consultation and generate non-face-to-face consultation information in which the additional data is not reflected in real time.

[0118] In addition, in the case of re-treatment, the management control unit (260) can provide a monitoring service for real-time non-face-to-face treatment to the user terminal (10).

[0119] Specifically, when a request for non-face-to-face treatment is made, if it is a return visit rather than the first visit, the management control unit (260) can perform non-face-to-face treatment or real-time non-face-to-face consultation on the health status of the companion animal (11). That is, if the user terminal (10) has shared the treatment record information recorded through the visit treatment, the management control unit (260) can provide non-face-to-face treatment on the health status of the companion animal (11). In this case, the treatment record information can be shared with another server and checked on a service-linked terminal (30) that can be shared.

[0120] For example, when a user terminal (10) requests non-face-to-face treatment, the management control unit (260) can create treatment reservation information for non-face-to-face treatment and then receive treatment request information for a companion animal (11) requiring non-face-to-face treatment. At this time, the treatment request information is information that can determine the current health status of the companion animal (11) and can be composed of text, images, or videos.

[0121] Here, the generated medical appointment information can be transmitted in real time to the user terminal (10) and service-linked terminal (30).

[0122] According to an embodiment, the management control unit (260) may generate customized recommendation information using user information and hospital linkage information based on treatment request information, and then provide the information to the user terminal (10), and generate treatment reservation information based on a corresponding service selection signal.

[0123] In addition, the management control unit (260) can generate non-face-to-face treatment information in real time using treatment information for non-face-to-face treatment executed based on treatment reservation information.

[0124] Specifically, the management control unit (260) can generate first non-face-to-face treatment information on the health status of a companion animal (11) using user information, hospital linkage information, and treatment request information based on standard data, and then generate second non-face-to-face treatment information through non-face-to-face treatment performed in real time based on the first non-face-to-face treatment information, and then generate non-face-to-face treatment information using the first non-face-to-face treatment information and the second non-face-to-face treatment information.

[0125] The first non-face-to-face medical information may include medical progress information that matches user information and medical request information based on standard data. That is, the medical progress information may include information on the current medical status of the companion animal (11) using medical request information based on medical record information.

[0126] In some embodiments, the first non-face-to-face medical treatment information may include data visually determined using photographed data included in the user information.

[0127] The second non-face-to-face medical treatment information may include information including an analysis of abnormal health signs of the companion animal (11) based on the medical staff's treatment results.

[0128] According to an embodiment, the management control unit (260) may request additional data from the user terminal (10) prior to real-time non-face-to-face treatment and generate non-face-to-face treatment information reflecting the additional data in real time. The additional data may be comprised of text, images, and videos.

[0129] According to an embodiment, the management control unit (260) may request additional data from the user terminal (10) prior to real-time non-face-to-face treatment and generate non-face-to-face treatment information in which the additional data is not reflected in real time.

[0130] In addition, the management control unit (260) can provide a monitoring service for visiting treatment to the user terminal (10) in the case of a first visit.

[0131] Specifically, when a user terminal (10) requests a home visit, the management control unit (260) can create a home visit reservation information and then execute a face-to-face home visit according to the home visit reservation information.

[0132] For example, the management control unit (260) can generate visit reservation information in response to a service selection signal received from a user terminal (10) based on user information. Here, the generated visit reservation information can be transmitted in real time to the user terminal (10) and the service-linked terminal (30).

[0133] According to an embodiment, when a user terminal (10) requests a home visit, the management control unit (260) may receive pre-examination information from the user terminal (10), create visit reservation information based on the pre-examination information, and then execute a face-to-face home visit according to the visit reservation information.

[0134] According to an embodiment, the management control unit (260) may generate customized recommendation information using user information and hospital-linked information, and then provide the information to the user terminal (10). At this time, the customized recommendation information may include information about the hospital, such as the hospital name, medical staff, hospital location, contact information, available reservation dates and times, and treatment reviews, depending on the current condition or disease state of the companion animal (11) using the hospital-linked information received from the service-linked terminal (30). The location of the hospital may be provided with a road view or a map, and the available reservation dates and times may be provided with a calendar and clock.

[0135] Additionally, the hospital linkage information may include hospital linkage information of a service linkage terminal (30) for a hospital where treatment and consultation are available.

[0136] Accordingly, the management control unit (260) can generate visit reservation information based on the service selection signal of the user terminal (10) corresponding to the customized recommendation information.

[0137] In addition, the management control unit (260) can provide a monitoring service for a visit consultation to the user terminal (10) upon request of medical staff or guardian after completion of a real-time non-face-to-face consultation.

[0138] In addition, the management control unit (260) can generate visiting treatment information in real time using treatment information for visiting treatment executed based on visiting reservation information.

[0139] According to an embodiment, the management control unit (260) can receive pre-question information from the user terminal (10) before and after creating the visit reservation information.

[0140] According to an embodiment, the management control unit (260) may request additional data from the user terminal (10) prior to a visit and generate visit information reflecting the additional data in real time. The additional data may be composed of text, images, and videos.

[0141] According to an embodiment, the management control unit (260) may request additional data from the user terminal (10) prior to a visit and generate visit information in real time without reflecting the additional data.

[0142] In addition, the management control unit (260) can generate result data based on standard data, based on AI diagnosis result information, non-face-to-face treatment information, and non-face-to-face consultation information.

[0143] In addition, the management control unit (260) can generate result data based on standard data, based on the determined progress corresponding to at least one of AI diagnosis result information, non-face-to-face treatment information, non-face-to-face consultation information, and on-site consultation information.

[0144] Additionally, the management control unit (260) can generate standard data by matching standard health data generated based on standard user information with standard result data using deep learning. While deep learning is described as being used in this embodiment, the present invention is not limited thereto and machine learning techniques such as random forests and support vector machines can be used. In this case, the management control unit (260) can update the standard data in real time in response to the result data.

[0145] Standard result data may be data that determines the presence or absence of a disease in a health condition using standard photographing data, but is not limited thereto. If a companion animal (11) has a disease, information on the progression stage of each disease may also be included.

[0146] Depending on the embodiment, the standard result data may include standard prescription data that can manage diseases of companion animals (11), such as disease-specific prescription diets, exercise methods, meal patterns, drug treatments, and recommended feeds.

[0147] According to an embodiment, when there is a change in reservation management information for a companion animal (11), the management control unit (260) can transmit the information to the user terminal (10) and the service-linked terminal (30).

[0148] According to an embodiment, the management control unit (260) can share hospital record information with another server.

[0149] According to an embodiment, the management control unit (260) may insert and transmit advertising information along with data transmitted and received from the user terminal (10), service-linked terminal (30), and / or administrator terminal (40). Accordingly, separate advertising revenue may be generated and used to support facilities such as abandoned dog centers and shelters.

[0150] A management server (20) with this structure can repeatedly learn standard health data and matching standard result data, and based on verified standard data, can generate result data that determines the health status of a companion animal (11) using non-face-to-face treatment information and non-face-to-face consultation information generated through real-time treatment and consultation. Accordingly, problems such as unnecessary hospital visits and neglect that may arise when the health status of a companion animal (11) is determined solely through visual images can be resolved.

[0151] In addition, the management server (20) can provide customized recommendation information to the user terminal (10) according to the current condition or disease state of the companion animal (11) to quickly and accurately diagnose and consult the companion animal (11).

[0152] Additionally, the management control unit (260) can generate a control signal capable of improving the service in response to a feedback signal received from the user terminal (10).

[0153] According to an embodiment, the management control unit (260) may transmit a feedback signal received from a user terminal (10) to a service-linked terminal (30), receive a control signal corresponding to the feedback signal, and transmit the control signal to the user terminal (10).

[0154] According to an embodiment, the management control unit (260) can increase the use of the service of the user terminal (10) by generating a control signal including event information.

[0155] Such a management server (20) may be implemented using hardware circuits (e.g., CMOS-based logic circuits), firmware, software, or a combination thereof. For example, it may be implemented using transistors, logic gates, and electronic circuits in various electrical structures.

[0156] The service-linked terminal (30) may be an animal hospital that can diagnose and consult on the health status of companion animals (11).

[0157] Specifically, when a non-face-to-face treatment and real-time consultation are requested regarding the health status of a companion animal (11), the service-linked terminal (30) may first perform an AI diagnosis and then execute non-face-to-face treatment and real-time consultation in response to first and second visits based on the reservation management information generated using the AI ​​diagnosis results. At this time, treatment, consultation, and visit reservations corresponding to reservation management information including consultation reservation information, treatment reservation information, and visit reservation information may be processed in real-time connection with the management server (20).

[0158] More specifically, if the treatment is the first treatment, the service-linked terminal (30) can first perform AI diagnosis based on the received pre-examination information and consultation reservation information, and then execute non-face-to-face consultation in real time based on the AI ​​diagnosis results.

[0159] For example, the service-linked terminal (30) can create first non-face-to-face consultation information using pre-questionnaire information according to consultation reservation information, create second non-face-to-face consultation information through real-time non-face-to-face consultation, and then create non-face-to-face consultation information using the first non-face-to-face consultation information and the second non-face-to-face consultation information.

[0160] At this time, the first non-face-to-face consultation information may include the diagnosis results obtained by performing AI diagnosis using user information and prior questionnaire information.

[0161] According to an embodiment, the service-linked terminal (30) can request additional data from the user terminal (10) before and after a real-time non-face-to-face consultation, and generate non-face-to-face consultation information reflecting the additional data in real time.

[0162] According to an embodiment, the service-linked terminal (30) may request additional data from the user terminal (10) before and after a real-time non-face-to-face consultation, and may generate non-face-to-face consultation information in which the additional data is not reflected in real time.

[0163] Additionally, if the treatment is a re-examination, the service-linked terminal (30) can perform non-face-to-face treatment or real-time non-face-to-face consultation based on the received pre-examination information and consultation reservation information. In other words, the service-linked terminal (30) can perform non-face-to-face treatment on the health status of a companion animal (11) if the user terminal (10) shares the treatment record information recorded through the visit treatment.

[0164] Specifically, if the treatment is a re-examination, the service-linked terminal (30) can first perform AI diagnosis based on the received treatment request information and treatment reservation information, and then execute non-face-to-face treatment in real time based on the AI ​​diagnosis results.

[0165] For example, the service-linked terminal (30) can create first non-face-to-face treatment information using treatment request information according to treatment reservation information, create second non-face-to-face treatment information through real-time non-face-to-face treatment, and then create non-face-to-face treatment information using the first non-face-to-face treatment information and the second non-face-to-face treatment information.

[0166] According to an embodiment, the service-linked terminal (30) can request additional data from the user terminal (10) before and after real-time non-face-to-face treatment, and generate non-face-to-face treatment information reflecting the additional data in real time.

[0167] According to an embodiment, the service-linked terminal (30) can request additional data from the user terminal (10) before and after real-time non-face-to-face treatment, and generate non-face-to-face treatment information in which the additional data is not reflected in real time.

[0168] In addition, the service-linked terminal (30) can perform a visit consultation to the user terminal (10) upon the request of the medical staff or guardian after completing the real-time non-face-to-face consultation.

[0169] Specifically, the service-linked terminal (30) can first perform AI diagnosis and then generate visiting treatment information in real time using treatment information for visiting treatment performed based on visit reservation information generated based on the AI ​​diagnosis results.

[0170] According to an embodiment, the service-linked terminal (30) can receive pre-question information from the user terminal (10) before and after generating the visit reservation information.

[0171] According to an embodiment, the service-linked terminal (30) can request additional data from the user terminal (10) before and after the visit and generate the visit information reflecting the additional data in real time.

[0172] According to an embodiment, the service-linked terminal (30) can request additional data from the user terminal (10) before and after the visit, and generate visit information in real time without reflecting the additional data.

[0173] In addition, the service-linked terminal (30) can generate results data based on standard data and non-face-to-face treatment information and non-face-to-face consultation information.

[0174] In addition, the service-linked terminal (30) can generate customized recommendation information using hospital-linked information based on standard data.

[0175] Additionally, the service-linked terminal (30) can share hospital record information with the user terminal (10), management server (20), and a separate server.

[0176] Additionally, the service-linked terminal (30) can provide hospital-linked information to the user terminal (10) and / or the management server (20).

[0177] At this time, hospital-related information may include, but is not limited to, the hospital name, department, medical staff, hospital location, contact information, available reservation dates and times, treatment reviews, events, etc.

[0178] Depending on the embodiment, the service-linked terminal (30) may include a separate facility such as an abandoned dog center or shelter.

[0179] Additionally, the service linkage terminal (30) can generate updated hospital linkage information in response to a feedback signal and provide it to the management server (20).

[0180] The service-linked terminal (30) can generate a control signal corresponding to the feedback signal.

[0181] The administrator terminal (40) is a separate terminal possessed by an administrator, and can transmit and receive data in real time by synchronizing with the user terminal (10), the management server (20), and the service-linked terminal (30) using a wireless communication network. At this time, the administrator terminal (40) can transmit and receive data using an application program (or application).

[0182] The administrator terminal (40) can learn standard data received from the management server (20) and generate result data on the health status of the companion animal (11) based on the standard data.

[0183] Such an administrator terminal (40) may include various portable electronic communication devices that support communication with a user terminal (10), a management server (20), and a service-linked terminal (30). For example, as a separate smart device, it may include various terminals such as a smart phone, a PDA (Personal Digital Assistant), a tablet, a wearable device (e.g., a smartwatch, a smart glass, a head-mounted display (HMD), etc.), and various IoT (Internet of Things) terminals, but is not limited thereto.

[0184]

[0185] The operation of a non-face-to-face health status monitoring system according to an embodiment of the present invention having such a structure is as follows. FIG. 3 is a diagram for explaining a non-face-to-face health status monitoring method according to an embodiment of the present invention, FIG. 4 is a diagram for explaining a step for generating the result data shown in FIG. 3, and FIG. 5 is a diagram for explaining a step for generating non-face-to-face counseling information shown in FIG. 4.

[0186] First, in the embodiment of the present invention, the companion animal (11) is limited to a dog, but it is not limited thereto and may include various animals that can be examined and consulted about their health status.

[0187] As shown in Fig. 3, the management server (20) can generate standard data (S10).

[0188] Specifically, the management server (20) can generate standard data by repeatedly learning based on big data.

[0189] For example, the management server (20) can analyze standard user information to preprocess standard shooting data, and then repeatedly learn standard result data that matches standard health data in response to the standard shooting data to generate standard data. In other words, the management server (20) can generate standard result data corresponding to standard user information, and verify the standard data generated by repeatedly learning the standard result data to generate standard data.

[0190] In other words, the management server (20) can generate standard data by verifying suitability through repeated learning based on the CNN algorithm by matching standard user information and standard result data.

[0191] Next, when a guardian requests a diagnosis of the current condition or disease state of a companion animal (11), the user terminal (10) can create and transmit user information about the companion animal (11) (S12).

[0192] At this time, the user information may include photographed data of the pet's (11) appearance, basic data of the pet (11) that can be entered by the guardian, and external data that can be provided from an external source. The basic data may include information such as age, weight, sex, neutering, breed, presence or absence of disease (including presence or absence of allergies), grooming information, appearance, and rearing environment, and the external data may include information received from an external company such as vaccination information, treatment information, presence or absence of allergies, and grooming information, but is not limited thereto, and may include priorities such as preferences of hospitals and medical staff.

[0193] Depending on the embodiment, shooting data for the companion animal (11) can be obtained through separate shooting equipment.

[0194] Next, the management server (20) can receive hospital linkage information from a service linkage terminal (30) that can diagnose and consult on the health status of the companion animal (11) (S14).

[0195] Specifically, the service-linked terminal (30) can generate hospital-linked information containing information on a hospital that can diagnose and consult on the health status of a companion animal (11).

[0196] At this time, hospital-related information may include, but is not limited to, the hospital name, department, medical staff, hospital location, contact information, available reservation dates and times, treatment reviews, events, etc.

[0197] Next, the management server (20) can generate customized recommendation information using user information and hospital-related information based on standard data (S16).

[0198] Specifically, the management server (20) can generate customized recommendation information and provide it to the user terminal (10) so that the user terminal (10) can quickly and accurately diagnose and consult on the health status of the companion animal (11) in real time without face-to-face contact, taking into account the guardian's priority.

[0199] At this time, the customized recommendation information may include information about the hospital, such as the hospital name, medical staff, hospital location, contact information, available reservation dates and times, and treatment reviews, depending on the current condition or disease state of the companion animal (11), using the hospital linkage information received from the service-linked terminal (30). The hospital location may be provided with a road view or map, and the available reservation dates and times may be provided with a calendar and clock.

[0200] According to an embodiment, the management server (20) may generate customized recommendation information using user information and hospital-linked information based on pre-examination information, or may generate customized recommendation information using user information and hospital-linked information based on treatment request information.

[0201] Next, the management server (20) can receive a service selection signal corresponding to the customized recommendation information from the user terminal (10) (S18).

[0202] Specifically, the user terminal (10) can generate a service selection signal corresponding to the customized recommendation information received for non-face-to-face treatment, real-time consultation, and home visit treatment for the health status of a companion animal (11).

[0203] Next, the management server (20) can generate reservation management information in response to the service selection signal (S20).

[0204] Specifically, the management server (20) first performs an AI diagnosis on the health status of a companion animal (11) from a user terminal (10), and if non-face-to-face treatment or real-time consultation is requested based on the AI ​​diagnosis result, the management server (20) can generate reservation management information in response to a service selection signal. At this time, the reservation management information may include treatment reservation information for non-face-to-face treatment, consultation reservation information for non-face-to-face consultation, and visit reservation information for on-site treatment.

[0205] Next, the management server (20) can execute non-face-to-face treatment, non-face-to-face consultation, and home visit treatment based on reservation management information, and then receive non-face-to-face treatment information, non-face-to-face consultation information, and home visit treatment information from the service-linked terminal (30) (S22).

[0206] Next, the management server (20) can generate result data corresponding to user information using non-face-to-face treatment information, non-face-to-face consultation information, and visiting treatment information based on standard data (S24).

[0207] Specifically, as illustrated in Fig. 4, the management server (20) can analyze user information to determine whether it is a first-time treatment or a repeat treatment and provide a monitoring service (S100, S110).

[0208] If the user information is analyzed and it is a re-treatment, the management server (20) can create treatment reservation information for non-face-to-face treatment (S120).

[0209] Specifically, in the case of re-treatment, the management server (20) can receive a service selection signal from the user terminal (10) and generate treatment reservation information for non-face-to-face treatment.

[0210] For example, the user terminal (10) can select non-face-to-face treatment, make a reservation for non-face-to-face treatment, and then execute the non-face-to-face treatment.

[0211] According to an embodiment, the management server (20) can generate customized recommendation information for non-face-to-face real-time treatment for the health status of a companion animal (11) corresponding to user information, and receive a corresponding service selection signal to generate non-face-to-face treatment reservation information.

[0212] Next, the management server (20) can create first non-face-to-face treatment information based on the treatment reservation information (S130).

[0213] Specifically, the management server (20) may first perform an AI diagnosis using user information, hospital-related information, and treatment request information based on standard data, and then generate first non-face-to-face treatment information on the health status of the companion animal (11) based on the AI ​​diagnosis results. At this time, the treatment request information is information that can determine the current health status of the companion animal (11), and may be composed of text, images, or videos.

[0214] For example, the management server (20) can generate first non-face-to-face treatment information including treatment progress information matching user information and treatment request information based on standard data. That is, the treatment progress information can include information on the current treatment status of the companion animal (11) using treatment request information based on treatment record information.

[0215] Next, the management server (20) can execute non-face-to-face treatment in real time based on the first non-face-to-face treatment information (S140).

[0216] Next, the management server (20) can generate second non-face-to-face medical treatment information through non-face-to-face medical treatment (S150). At this time, the second non-face-to-face medical treatment information may include information that includes an analysis of the pet's (11) health abnormalities based on the medical staff's medical treatment results.

[0217] Next, the management server (20) can generate non-face-to-face treatment information on the health status of the companion animal (11) using the first non-face-to-face treatment information and the second non-face-to-face treatment information (S160).

[0218] Meanwhile, the management server (20) can create non-face-to-face consultation information in the case of a first visit rather than a re-visit (S170).

[0219] Specifically, as illustrated in FIG. 5, the management server (20) can receive pre-questionnaire information for non-face-to-face consultation (S200).

[0220] For example, when a user terminal (10) requests real-time non-face-to-face consultation, the management server (20) can receive pre-questionnaire information from the user terminal (10).

[0221] Next, the management server (20) can create consultation reservation information for non-face-to-face consultation in real time based on the pre-questionnaire information (S210).

[0222] That is, in the case of a first-time visit, the management server (20) can receive a service selection signal from the user terminal (10) and generate consultation reservation information for non-face-to-face consultation.

[0223] For example, the user terminal (10) can select non-face-to-face consultation, make a reservation for non-face-to-face consultation, and then execute the non-face-to-face consultation in real time.

[0224] According to an embodiment, the management server (20) can generate customized recommendation information for non-face-to-face real-time consultation on the health status of a companion animal (11) corresponding to user information, and receive a corresponding service selection signal to generate non-face-to-face consultation reservation information.

[0225] Next, the management server (20) can create first non-face-to-face consultation information based on the medical consultation information (S220).

[0226] Specifically, the management server (20) can first perform an AI diagnosis using user information and pre-questionnaire information based on standard data, and then generate first non-face-to-face consultation information on the health status of the companion animal (11) based on the AI ​​diagnosis result.

[0227] At this time, the first non-face-to-face consultation information may include data that matches user information and pre-questionnaire information based on standard data.

[0228] Next, the management server (20) can execute real-time non-face-to-face consultation based on the first non-face-to-face consultation information (S230).

[0229] Next, if a visit consultation is required for the user terminal (10) at the request of medical staff or guardian after completing a real-time non-face-to-face consultation (S240), the management server (20) can create a visit reservation information for face-to-face treatment (S250).

[0230] For example, when a home visit treatment is requested, the management server (20) can create a home visit reservation information and then execute a monitoring service for the home visit treatment.

[0231] Next, the management server (20) can execute a face-to-face visit treatment according to the visit reservation information, and then generate visit treatment information in real time using the treatment information for the visit treatment executed based on the visit reservation information (S260, S270).

[0232] According to an embodiment, the management server (20) can receive pre-question information from the user terminal (10) before and after creating the visit reservation information.

[0233] Meanwhile, if a visit is not necessary after completing a real-time non-face-to-face consultation, the management server (20) can generate second non-face-to-face consultation information through the non-face-to-face consultation (S280). In this case, the second non-face-to-face consultation information may include information recommending a health checkup and visit for the companion animal (11) based on the results of the consultation with the medical staff.

[0234] Next, the management server (20) can create non-face-to-face consultation information on the health status of the companion animal (11) using the first non-face-to-face consultation information and the second non-face-to-face consultation information (S290).

[0235] Next, the management server (20) can generate result data that determines the health status of the companion animal (11) by using non-face-to-face treatment information and non-face-to-face consultation information corresponding to user information based on standard data.

[0236] According to an embodiment, the management server (20) can generate result data that determines the health status of a companion animal (11) by using non-face-to-face treatment information, non-face-to-face consultation information, and visiting treatment information corresponding to user information based on standard data.

[0237] According to an embodiment, when requesting additional data from a user terminal (10) before generating non-face-to-face treatment information, non-face-to-face consultation information, and visiting treatment information, result data reflecting the additional data can be generated.

[0238] In some embodiments, when requesting additional data from a user terminal (10) before generating non-face-to-face treatment information, non-face-to-face consultation information, and visiting treatment information, result data without the additional data may be generated.

[0239] Next, the user terminal (10) can receive result data on the health status of the companion animal (11) from the management server (20) (S26).

[0240] Next, the user terminal (10) can receive a monitoring service for the health status of the companion animal (11) and then generate a feedback signal for the service (S28).

[0241] According to an embodiment, the user terminal (10) may determine the result data received from the management server (20) and generate a feedback signal. At this time, the feedback signal may include information such as satisfaction with the service, accuracy, and reliability.

[0242] Next, the management server (20) can generate a control signal that can improve the service in response to a feedback signal received from the user terminal (10) (S30).

[0243] For example, the management server (20) can transmit a feedback signal received from a user terminal (10) to a service-linked terminal (30), receive a control signal corresponding to the feedback signal, and transmit it to the user terminal (10).

[0244] According to an embodiment, the management server (20) may evaluate the service performed by the service-linked terminal (30) based on a feedback signal received from the user terminal (10) and determine a reward or penalty for the service-linked terminal (30).

[0245] According to an embodiment, the management server (20) may generate a control signal containing event information to increase the use of the service of the user terminal (10). The event information may include, but is not limited to, advertisements or information on discounts or events for the service.

[0246] According to an embodiment, the user terminal (10) may receive a control signal containing improved or updated information for the service in response to a feedback signal before, during, or after using the service.

[0247] According to an embodiment, the administrator terminal (40) may generate a control signal capable of improving the service in response to the feedback signal.

[0248] Next, the management server (20) can update standard data in real time in response to the result data (S32).

[0249] According to an embodiment, the management server (20) can update standard data in real time in response to a feedback signal received from the user terminal (10).

[0250] Finally, the administrator terminal (40) can monitor the service in real time (S34).

[0251] The steps of a method or algorithm described in connection with an embodiment of the present invention may be implemented directly in hardware, implemented as a software module executed by hardware, or implemented by a combination thereof. The software module may reside in a random access memory (RAM), a read only memory (ROM), an erasable programmable ROM (EPROM), an electrically erasable programmable ROM (EEPROM), a flash memory, a hard disk, a removable disk, a CD-ROM, or any other form of computer-readable recording medium well known in the art to which the present invention pertains.

[0252] While the embodiments of the present invention have been described above with reference to the attached drawings, those skilled in the art will appreciate that the present invention can be implemented in other specific forms without altering the technical concept or essential features thereof. Therefore, the embodiments described above should be understood to be illustrative in all respects and not restrictive.

[0253] The present invention uses a dedicated application to diagnose the health of a companion animal in real time without face-to-face contact using AI, and then provides treatment and consultation based on the diagnosis, thereby enabling early detection of disease and prompt response and treatment when a disease is detected.

[0254]

Claims

1. A non-face-to-face monitoring method for the health status of a subject performed by a server, When a health status monitoring service is requested from a user terminal through a dedicated application, a step of generating reservation management information in response to a service selection signal received from the user terminal; and A step of first performing AI diagnosis using the treatment information and consultation information received from the service-linked terminal based on the above reservation management information, and then generating the result data of the treatment and consultation on the subject's health status based on the AI ​​diagnosis results; The steps for generating the above result data are: If the monitoring service for the subject's health status is the first treatment, a step of creating non-face-to-face consultation information on the subject's health status; If the monitoring service for the subject's health status is a re-treatment, a step for generating non-face-to-face treatment information on the subject's health status; and A non-face-to-face monitoring method for health status, comprising: a step of generating result data based on the non-face-to-face treatment information and the non-face-to-face consultation information, the result determined in response to the standard data.

2. In paragraph 1, The step of generating non-face-to-face medical treatment information on the health status of the subject is as follows: A step of generating first non-face-to-face treatment information including treatment progress information on health status based on user information, hospital linkage information, AI diagnosis results, and treatment request information received from the service-linked terminal; A step of conducting non-face-to-face treatment based on the above first non-face-to-face treatment information; A step of generating second non-face-to-face treatment information corresponding to the above non-face-to-face treatment; and A non-face-to-face monitoring method for health status, comprising: a step of generating non-face-to-face treatment information using the first non-face-to-face treatment information and the second non-face-to-face treatment information.

3. In paragraph 2, The steps for generating the above non-face-to-face medical treatment information are: A step of requesting additional data to the user terminal; When the above additional data is received, a step of generating third non-face-to-face medical treatment information reflecting the above additional data; and A non-face-to-face monitoring method for health status, comprising: a step of generating non-face-to-face treatment information using the first to third non-face-to-face treatment information.

4. In paragraph 1, The step of generating non-face-to-face consultation information on the health status of the subject is as follows: A step for generating preliminary questionnaire information for the subject; A step of generating first non-face-to-face consultation information using the above-mentioned pre-questionnaire information based on the above-mentioned standard data; A step of conducting real-time non-face-to-face counseling based on the above first non-face-to-face counseling information; A step of generating second non-face-to-face consultation information corresponding to the above non-face-to-face consultation; and A non-face-to-face monitoring method for health status, comprising: a step of generating non-face-to-face consultation information using the first non-face-to-face consultation information and the second non-face-to-face consultation information.

5. In paragraph 4, After completing the real-time non-face-to-face consultation, if a visit reservation is required, a step is taken to create a visit reservation information; In the case where a home visit is performed based on the above-mentioned visit reservation information, a step of creating home visit information corresponding to the home visit; and A non-face-to-face monitoring method for health status, comprising: a step of generating the result data including the above-mentioned visiting medical information.

6. In paragraph 2, A non-face-to-face monitoring system for health conditions, further comprising a step of generating customized recommendation information corresponding to diagnosis and consultation regarding the health conditions of a subject based on the user information and the hospital linkage information.

7. User terminal requesting health status monitoring service through a dedicated application; A service-linked terminal that generates hospital-linked information to perform treatment and consultation for the subject; and Including a management server that generates reservation management information in response to a service selection signal received from the user terminal through a dedicated application when a health status monitoring service is requested from the user terminal, performs AI diagnosis first using treatment information and consultation information received from the service-linked terminal based on the reservation management information, and generates result data of treatment and consultation on the subject's health status based on the AI ​​diagnosis results; The above management server, A non-face-to-face monitoring system for health status that creates non-face-to-face consultation information about the subject's health status when the monitoring service for the subject's health status is a first-time treatment, creates non-face-to-face treatment information about the subject's health status when the monitoring service for the subject's health status is a re-treatment, and creates results data based on the non-face-to-face treatment information and non-face-to-face consultation information.

8. A computer program stored on a computer-readable recording medium that is combined with a computer as hardware and enables the method of claim 1 to be performed.

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