System

Abstract

An object of a system according to an embodiment is to allow a user to easily find an optimal hospital and complete an appointment.SOLUTION: A system includes a symptom input part, an address input part, a hospital search part, an appointment part, and an online medical examination guidance part. The symptom input unit inputs a symptom. The address input unit inputs an address. The hospital search unit analyzes the information input by the symptom input unit and the address input unit, and searches for an optimal hospital. The reservation part selects a desired hospital from the list of hospitals retrieved by the hospital retrieval part and makes a reservation. The online medical examination guidance unit guides a user who desires online medical examination to a specific online medical examination service.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The technology of the present disclosure relates to a system. [Background technology]

[0002] Patent document 1 discloses a persona chatbot control method performed by at least one processor, the method including the steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to a description of the chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance in response to the user utterance. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2022-180282 Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, it was difficult to find the most suitable hospital when you became ill, and the process of making a reservation was complicated.

[0005] The system according to the embodiment aims to enable a user to easily find the most suitable hospital and complete a reservation. [Means for solving the problem]

[0006] The system according to the embodiment includes a symptom input unit, an address input unit, a hospital search unit, a reservation unit, and an online medical consultation guidance unit. The symptom input unit inputs symptoms. The address input unit inputs an address. The hospital search unit analyzes the information input by the symptom input unit and the address input unit and searches for the most suitable hospital. The reservation unit selects a desired hospital from the list of hospitals searched by the hospital search unit and makes a reservation. The online medical consultation guidance unit guides a user who desires online medical consultation to a specific online medical consultation service. [Effects of the Invention]

[0007] The system according to the embodiment allows a user to easily find the most suitable hospital and complete a reservation. [Brief explanation of the drawings]

[0008] [Figure 1] 1 is a conceptual diagram showing an example of the configuration of a data processing system according to a first embodiment. [Figure 2] 1 is a conceptual diagram showing an example of main functions of a data processing device and a smart device according to a first embodiment. [Figure 3] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Figure 5] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a third embodiment. [Figure 6] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and a headset-type terminal according to a third embodiment. [Figure 7] FIG. 10 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 10 is a conceptual diagram showing an example of main functions of a data processing device and a robot according to a fourth embodiment. [Figure 9] 1 shows an emotion map onto which multiple emotions are mapped. [Figure 10]1 shows an emotion map onto which multiple emotions are mapped. DETAILED DESCRIPTION OF THE INVENTION

[0009] An example of an embodiment of a system according to the technology of the present disclosure will be described below with reference to the accompanying drawings.

[0010] First, the terms used in the following description will be explained.

[0011] In the following embodiments, a coded processor (hereinafter simply referred to as a "processor") may be a single arithmetic device or a combination of multiple arithmetic devices. Furthermore, the processor may be a single type of arithmetic device or a combination of multiple types of arithmetic devices. Examples of arithmetic devices include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), or a TPU (Tensor Processing Unit).

[0012] In the following embodiments, a coded RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by a processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs, various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), and magnetic tapes.

[0014] In the following embodiments, a communication I / F (Interface) with a symbol is an interface including a communication processor, an antenna, etc. The communication I / F controls communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), and Bluetooth (registered trademark).

[0015] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." In other words, "A and / or B" means that it may be only A, only B, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" is also applied when three or more things are expressed connected by "and / or."

[0016] [First embodiment] FIG. 1 shows an example of the configuration of a data processing system 10 according to the first embodiment.

[0017] 1, a data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0018] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0019] The smart device 14 includes a computer 36, a reception device 38, an output device 40, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The reception device 38, the output device 40, and the camera 42 are also connected to the bus 52.

[0020] The reception device 38 includes a touch panel 38A and a microphone 38B, and receives user input. The touch panel 38A detects contact with a pointer (for example, a pen or a finger) to receive user input by the touch of the pointer. The microphone 38B detects the user's voice to receive user input by voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 (see FIG. 2) acquires the data indicating the user input.

[0021] Output device 40 includes a display 40A and a speaker 40B, and presents data to a user by outputting the data in a form of expression that the user can perceive (e.g., audio and / or text). Display 40A displays visible information such as text and images in accordance with instructions from processor 46. Speaker 40B outputs audio in accordance with instructions from processor 46. Camera 42 is a compact digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 control the exchange of various information between the processor 46 and the processor 28 via the network 54.

[0023] FIG. 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0024] 2, in the data processing device 12, a specific process is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific process is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0025] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0026] In the smart device 14, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. The specific processing program 60 is used together with the specific processing program 56 by the data processing system 10. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the smart device 14 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0027] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device (e.g., a generation server) may have the data generation model 58. In this case, the data processing device 12 obtains a processing result (prediction result, etc.) using the data generation model 58 by communicating with the server device having the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device owned by a user (e.g., a mobile phone, a robot, a home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) The hospital search and reservation system according to an embodiment of the present invention is a system that allows users to search for an appropriate hospital when they become ill and complete a reservation. It also has a function of directing users who wish to receive online medical care to a specific online medical care service. This allows the hospital search and reservation system to quickly search for an appropriate hospital when they become ill and complete a reservation. Furthermore, by directing users who wish to receive online medical care to a specific online medical care service, convenience can be improved.

[0029] The hospital search and reservation system according to the embodiment includes a symptom input unit, an address input unit, a hospital search unit, a reservation unit, and an online medical consultation guidance unit. The symptom input unit allows a user to input symptoms. For example, the user may input "I have a headache." The symptom input unit can also allow a user to input "I have a fever." The symptom input unit can also allow a user to input "I have a persistent cough." The address input unit allows a user to input an address. For example, the user may input "Shinjuku Ward, Tokyo." The address input unit can also allow a user to input "Kita Ward, Osaka City." The address input unit can also allow a user to input "Naka ​​Ward, Nagoya City." The hospital search unit analyzes the information input by the symptom input unit and the address input unit and searches for an optimal hospital. For example, the hospital search unit uses a generation AI to search for nearby internal medicine or neurology hospitals based on the symptoms and address information input by the user. The hospital search unit can also use a generation AI to display a list of nearby internal medicine or neurology hospitals based on the symptoms and address information input by the user. The hospital search unit can also use the generation AI to search for nearby internal medicine and neurology hospitals based on the symptoms and address information entered by the user and display the results as a list. The reservation unit selects a desired hospital from the list of hospitals searched by the hospital search unit and makes a reservation. For example, the reservation unit allows the user to select a desired hospital and check detailed information about the hospital. The reservation unit can also select a desired date and time and make a reservation. The reservation unit can also send a confirmation email once the reservation is completed. The online medical consultation guidance unit guides a user who desires online medical consultation to a specific online medical consultation service. For example, if the user selects "I desire online medical consultation," the generation AI displays a link to the online medical consultation service based on the information. The online medical consultation guidance unit can also allow the user to click the link to access the online medical consultation service and receive medical treatment. The online medical consultation guidance unit can also allow the user to click the link to the online medical consultation service and access the service. As a result, the hospital search and reservation system according to the embodiment can quickly search for an appropriate hospital when the user becomes ill and complete a reservation.In addition, convenience can be improved for users who wish to receive online medical care by directing them to a specific online medical care service.

[0030] In the symptom input section, the generation AI presents completion candidates in real time for the symptoms entered by the user, reducing the effort required for input. For example, when a user begins to enter "headache," the generation AI displays completion candidates such as "headache," "headache and nausea," and "migraine" in real time. This allows the user to simply select the one that most closely matches their symptoms. Similarly, when a user enters "fever," the generation AI presents candidates such as "fever," "persistent high fever," and "low-grade fever." This allows the user to easily select detailed symptoms. Similarly, when a user begins to enter "cough," the generation AI presents completion candidates such as "persistent cough," "dry cough," and "cough with phlegm." This allows the user to accurately enter their symptoms. This reduces the effort required for user input and supports accurate symptom input.

[0031] The symptom input unit can refer to the user's past medical history and automatically suggest related symptoms. For example, if the user has a history of receiving medical treatment for a "headache" in the past, when the symptom input unit begins to input "headache" again, the generation AI will display a suggestion such as "Is it the same headache as last time?". Also, if the user has a history of receiving medical treatment for a "fever" in the past, when the symptom input unit inputs "fever" again, the generation AI will display a suggestion such as "Are you experiencing the same fever symptoms as last time?". Also, if the user has a history of receiving medical treatment for a "cough" in the past, when the symptom input unit begins to input "cough" again, the generation AI will display a suggestion such as "Are you experiencing the same cough symptoms as last time?". This makes it possible to support more accurate medical treatment by suggesting related symptoms based on the user's past medical history.

[0032] The symptom input unit and the address input unit can use voice recognition technology to input data, enabling hands-free operation. For example, when a user vocally inputs "I have a headache," the symptom input unit and the address input unit use voice recognition technology to convert the input data into text and input it into the system. Also, when a user vocally inputs an address such as "Shinjuku-ku, Tokyo," the symptom input unit and the address input unit use voice recognition technology to convert the input data into text and input it into the system. Also, when a user vocally inputs "I have a fever," the symptom input unit and the address input unit use voice recognition technology to convert the input data into text and input it into the system. Thus, using voice recognition technology enables hands-free operation, improving user convenience.

[0033] The symptom input unit can display health information and preventive measures related to the symptoms selected by the user. For example, when a user inputs "I have a headache," the generation AI displays health information such as "Causes of headaches and preventive measures." When a user inputs "I have a fever," the generation AI displays health information such as "Causes of fever and how to deal with it." When a user inputs "I can't stop coughing," the symptom input unit displays health information such as "Causes of coughs and preventive measures." This makes it possible to support the user's health management by displaying health information and preventive measures related to the symptoms selected by the user.

[0034] The hospital search unit can suggest the most suitable hospital by taking into account the user's symptoms and address, as well as current traffic conditions and weather information. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the hospital search unit's generation AI will consider the current traffic conditions and suggest the most accessible hospital. Similarly, if a user inputs "I have a fever" and "Kita Ward, Osaka City," the hospital search unit's generation AI will consider the current weather information and suggest the nearest hospital. Similarly, if a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the hospital search unit's generation AI will consider traffic congestion information and suggest the quickest hospital to reach. This allows the unit to suggest the most suitable hospital for the user by taking into account traffic conditions and weather information.

[0035] The hospital search unit can reflect evaluations based on past patient treatment results and satisfaction. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will suggest highly rated hospitals based on past patient treatment results and satisfaction. If a user inputs "I have a fever" and "Kita Ward, Osaka City," the generation AI will suggest highly reliable hospitals based on past patient word-of-mouth reviews. If a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generation AI will suggest hospitals that provide effective treatment based on past patient treatment results. This makes it possible to suggest highly reliable hospitals by reflecting evaluations based on past patient treatment results and satisfaction.

[0036] The hospital search unit can simultaneously search for the most suitable hospital and doctor based on symptom and address information. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the generated AI will simultaneously search for and suggest the most suitable hospital as well as a doctor specializing in headaches. Similarly, if a user inputs "I have a fever" and "Kita Ward, Osaka City," the generated AI will simultaneously search for and suggest the most suitable hospital as well as a doctor specializing in fever treatment. Similarly, if a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generated AI will simultaneously search for and suggest the most suitable hospital as well as a doctor specializing in respiratory disease. This allows users to receive more appropriate medical treatment by simultaneously searching for the most suitable hospital and doctor based on symptom and address information.

[0037] The hospital search unit can add detailed information such as the hospital's facilities and whether or not it has specialists to the hospital search results. For example, if a user enters "I have a headache" and "Shinjuku Ward, Tokyo," the hospital search unit's generation AI will display detailed information including the hospital's facilities and whether or not it has specialists. Also, if a user enters "I have a fever" and "Kita Ward, Osaka City," the hospital search unit's generation AI will display detailed information including the hospital's facilities and whether or not it has specialists. Also, if a user enters "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the hospital search unit's generation AI will display detailed information including the hospital's facilities and whether or not it has specialists. By adding detailed information such as the hospital's facilities and whether or not it has specialists, users can select a more appropriate hospital.

[0038] The reservation unit can display reviews and ratings from past patients in real time in the detailed information about the hospital. For example, when the user selects a hospital, the reservation unit displays reviews and ratings from past patients in real time, allowing the user to confirm the reliability of the hospital. Furthermore, when the user checks the detailed information about the hospital, the reservation unit displays evaluation scores and comments from past patients in real time to support the user in selecting a hospital. Furthermore, before the user makes a reservation at a hospital, the reservation unit displays reviews and ratings from past patients in real time to help the user select a hospital. In this way, by displaying reviews and ratings from past patients in real time, the user can select a reliable hospital.

[0039] The reservation unit can refer to the user's past medical history when making a reservation and automatically suggest an appropriate medical department and doctor. For example, when the user makes a hospital reservation, the reservation unit refers to the user's past medical history and automatically suggests an appropriate medical department and doctor. For example, if the user has been treated for a headache in the past, a doctor specializing in headaches is suggested. Furthermore, when the user makes a hospital reservation, the reservation unit automatically suggests an appropriate medical department based on the user's past medical history. For example, if the user has been treated for a fever in the past, an internal medicine specialist is suggested. Furthermore, when the user makes a hospital reservation, the reservation unit automatically suggests an appropriate doctor based on the user's past medical history. For example, if the user has been treated for a cough in the past, a doctor specializing in respiratory disease is suggested. In this way, by suggesting an appropriate medical department and doctor based on the user's past medical history, the user can receive more appropriate medical treatment.

[0040] The reservation unit can add photos and video tours of the interior of the hospital to the detailed information about the hospital, allowing the user to check the atmosphere of the hospital in advance. For example, the reservation unit displays photos of the interior of the hospital when the user checks the detailed information about the hospital, allowing the user to check the atmosphere of the hospital in advance. For example, it displays photos of the waiting room and examination rooms. The reservation unit also displays a video tour of the hospital when the user checks the detailed information about the hospital, allowing the user to check the atmosphere of the hospital in advance. For example, it displays a video that guides the user around the hospital. The reservation unit also displays photos and video tours of the interior of the hospital when the user checks the detailed information about the hospital, allowing the user to check the atmosphere of the hospital in advance. For example, it displays photos and videos of examination rooms and testing rooms. In this way, by adding photos and video tours of the interior of the hospital, the user can check the atmosphere of the hospital in advance.

[0041] The reservation unit can also simultaneously display information about pharmacies and health facilities near the hospital selected by the user when making a reservation. For example, when the user makes a hospital reservation, the reservation unit simultaneously displays information about pharmacies near the selected hospital. For example, it displays the nearest pharmacy for picking up a prescription. Furthermore, when the user makes a hospital reservation, the reservation unit simultaneously displays information about health facilities near the selected hospital. For example, it displays information about rehabilitation facilities and fitness centers. Furthermore, when the user makes a hospital reservation, the reservation unit simultaneously displays information about pharmacies and health facilities near the selected hospital. For example, it displays information about pharmacies and health food stores. In this way, by simultaneously displaying information about pharmacies and health facilities near the hospital, convenience for the user can be improved.

[0042] The online medical consultation guidance unit can suggest the most appropriate online medical consultation service based on the user's symptoms and past medical history. For example, if the user selects "I would like to receive online medical consultation," the generating AI will suggest the most appropriate online medical consultation service based on the user's past medical history. For example, if the user has previously received medical treatment for a headache, the generating AI will suggest an online medical consultation service specializing in headaches. Furthermore, if the user selects "I would like to receive online medical consultation," the generating AI will suggest the most appropriate online medical consultation service based on the user's past medical history. For example, if the user has previously received medical treatment for a fever, the generating AI will suggest an online medical consultation service specializing in fever treatment. Furthermore, if the user selects "I would like to receive online medical consultation," the generating AI will suggest the most appropriate online medical consultation service based on the user's past medical history. For example, if the user has previously received medical treatment for a cough, the generating AI will suggest an online medical consultation service specializing in respiratory care. In this way, the most appropriate online medical consultation service is suggested based on the user's symptoms and past medical history, allowing the user to receive appropriate medical treatment.

[0043] The online medical consultation guidance unit can add information that takes into consideration the doctor's specialty and flexibility of consultation hours to the options for online medical consultation services. For example, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit displays information that takes into consideration the doctor's specialty and flexibility of consultation hours. For example, it suggests doctors who specialize in headaches or doctors who are available at night. Furthermore, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit displays information that takes into consideration the doctor's specialty and flexibility of consultation hours. For example, it suggests doctors who specialize in fever treatment or doctors who are available on weekends. Furthermore, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit displays information that takes into consideration the doctor's specialty and flexibility of consultation hours. For example, it suggests doctors who specialize in respiratory medicine or doctors who are available early in the morning. In this way, by adding information that takes into consideration the doctor's specialty and flexibility of consultation hours, it is possible to suggest the optimal online medical consultation service for the user.

[0044] The online medical consultation guidance unit can add information that takes into consideration the user's insurance coverage and costs to the options for online medical consultation services. For example, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit causes the generation AI to display information that takes into consideration the user's insurance coverage and costs. For example, it may suggest online medical consultation services that are covered by insurance. Furthermore, when a user selects "I would like to receive online medical consultation," the generation AI displays information that takes into consideration the user's insurance coverage and costs. For example, it may suggest online medical consultation services that are inexpensive. Furthermore, when a user selects "I would like to receive online medical consultation," the generation AI displays information that takes into consideration the user's insurance coverage and costs. For example, it may suggest online medical consultation services that allow medical consultation within the scope of insurance coverage. In this way, by adding information that takes into consideration the user's insurance coverage and costs, it is possible to suggest the most suitable online medical consultation service for the user.

[0045] The online medical consultation guidance unit can suggest services that correspond to the user's language and cultural background as options for online medical consultation services. For example, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit causes the generation AI to suggest online medical consultation services that correspond to the user's language and cultural background. For example, it suggests doctors who speak English or doctors who support multiculturalism. Furthermore, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit causes the generation AI to suggest online medical consultation services that correspond to the user's language and cultural background. For example, it suggests doctors who speak Spanish or doctors who support multiculturalism. Furthermore, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit causes the generation AI to suggest online medical consultation services that correspond to the user's language and cultural background. For example, it suggests doctors who speak Chinese or doctors who support multiculturalism. This allows the user to receive more appropriate online medical consultation by suggesting services that correspond to the user's language and cultural background.

[0046] The online medical consultation guidance unit automatically provides the doctor with the user's past medical history when the online medical consultation service is used, thereby improving the efficiency of medical consultations. For example, when the user uses the online medical consultation service, the online medical consultation guidance unit automatically provides the doctor with the past medical history. For example, information about past medical treatment details and prescribed medications is shared with the doctor. Furthermore, when the user uses the online medical consultation service, the online medical consultation guidance unit automatically provides the doctor with the past medical history. For example, past test results and diagnosis details are shared with the doctor. Furthermore, when the user uses the online medical consultation service, the online medical consultation guidance unit automatically provides the doctor with the past medical history. For example, past treatment progress and allergy information is shared with the doctor. In this way, the efficiency of medical consultations can be improved by automatically providing the doctor with the user's past medical history.

[0047] The online medical consultation guidance unit can provide real-time health advice and preventive measures tailored to the user's symptoms during the online medical consultation. For example, if a user complains of a headache during an online medical consultation, the generation AI will provide real-time health advice and preventive measures for the headache. For example, it will display advice such as "drink plenty of fluids" and "avoid stress." If a user complains of a fever during an online medical consultation, the generation AI will provide real-time health advice and preventive measures for the fever. For example, it will display advice such as "take plenty of rest" and "cool your body." If a user complains of a persistent cough during an online medical consultation, the generation AI will provide real-time health advice and preventive measures for the cough. For example, it will display advice such as "drink warm beverages" and "use a humidifier." This allows for appropriate medical treatment by providing real-time health advice and preventive measures tailored to the user's symptoms.

[0048] The online medical consultation guidance unit can provide a function that allows the user to record medical consultation details and review them later when using the online medical consultation service. The online medical consultation guidance unit, for example, provides a function that allows the user to record medical consultation details during an online medical consultation and review them later. For example, the doctor's explanations and advice during the consultation can be recorded and reviewed later. The online medical consultation guidance unit also provides a function that allows the user to record medical consultation details during an online medical consultation and review them later. For example, the doctor's explanations and advice during the consultation can be recorded and reviewed later. The online medical consultation guidance unit also provides a function that allows the user to record medical consultation details during an online medical consultation and review them later. For example, the doctor's explanations and usage instructions during the consultation can be recorded and reviewed later. The online medical consultation guidance unit also provides a function that allows the user to record medical consultation details during an online medical consultation and review them later. For example, the test results and treatment guidelines during the consultation can be recorded and reviewed later. By providing a function that allows the user to record medical consultation details and review them later, a deeper understanding of the medical consultation details can be achieved.

[0049] The online medical consultation guidance unit can provide a chat function that allows a user to input questions in real time during a medical consultation when using the online medical consultation service. The online medical consultation guidance unit provides, for example, a chat function that allows a user to input questions in real time during an online medical consultation. For example, the user can ask a doctor via chat about any doubts or concerns they may have during the medical consultation. The online medical consultation guidance unit also provides a chat function that allows a user to input questions in real time during an online medical consultation. For example, the user can ask a doctor via chat about how to use prescribed medications or side effects during the medical consultation. The online medical consultation guidance unit also provides a chat function that allows a user to input questions in real time during an online medical consultation. For example, the user can ask a doctor via chat about test results or treatment plans during the medical consultation. Thus, by providing a chat function that allows a user to input questions in real time during a medical consultation, the quality of medical consultations is improved.

[0050] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0051] The symptom input unit can refer to the user's past medical history and automatically suggest related symptoms. For example, if the user has previously been treated for a "headache," when they start to input "headache" again, the generation AI will display a suggestion such as "Is it the same headache as last time?". Also, if the user has previously been treated for a "fever," when they input "fever" again, the generation AI will display a suggestion such as "Are you experiencing the same fever symptoms as last time?". Also, if the user has previously been treated for a "cough," when they start to input "cough" again, the generation AI will display a suggestion such as "Are you experiencing the same cough symptoms as last time?". This makes it possible to support more accurate medical treatment by suggesting related symptoms based on the user's past medical history.

[0052] The symptom input unit and address input unit can use voice recognition technology to input information, enabling hands-free operation. For example, when a user speaks, "I have a headache," the voice recognition technology converts the information into text and inputs it into the system. Furthermore, when a user speaks, "Shinjuku-ku, Tokyo," the symptom input unit and address input unit convert the information into text and inputs it into the system. Furthermore, when a user speaks, "I have a fever," the symptom input unit and address input unit convert the information into text and inputs it into the system. Thus, using voice recognition technology enables hands-free operation, improving user convenience.

[0053] The symptom input unit can display health information and preventative measures related to the symptoms selected by the user. For example, if a user inputs "I have a headache," the generation AI will display health information such as "Causes of headaches and preventative measures." If a user inputs "I have a fever," the symptom input unit will display health information such as "Causes of fever and how to deal with it." If a user inputs "I can't stop coughing," the symptom input unit will display health information such as "Causes of coughing and preventative measures." This makes it possible to support the user's health management by displaying health information and preventative measures related to the symptoms selected by the user.

[0054] The hospital search unit can suggest the most suitable hospital by taking into account the user's symptoms and address, as well as current traffic conditions and weather information. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will consider the current traffic conditions and suggest the most accessible hospital. Similarly, if a user inputs "I have a fever" and "Kita Ward, Osaka City," the generation AI will consider the current weather information and suggest the nearest hospital. Similarly, if a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generation AI will consider traffic congestion information and suggest the quickest hospital to reach. This allows the system to suggest the most suitable hospital for the user by taking traffic conditions and weather information into account.

[0055] The hospital search unit can reflect evaluations based on past patient treatment results and satisfaction. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will suggest highly rated hospitals based on past patient treatment results and satisfaction. If a user inputs "I have a fever" and "Kita Ward, Osaka City," the generation AI will suggest highly reliable hospitals based on word-of-mouth reviews from past patients. If a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generation AI will suggest hospitals that provide effective treatment based on past patient treatment results. This makes it possible to suggest highly reliable hospitals by reflecting evaluations based on past patient treatment results and satisfaction.

[0056] The hospital search unit can simultaneously search for the most suitable hospital and doctor based on symptoms and address information. For example, if a user enters "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will simultaneously search for and suggest the most suitable hospital and doctor who specializes in headaches. Similarly, if a user enters "I have a fever" and "Kita Ward, Osaka City," the generation AI will simultaneously search for and suggest the most suitable hospital and doctor who specializes in fever treatment. Similarly, if a user enters "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generation AI will simultaneously search for and suggest the most suitable hospital and doctor who specializes in respiratory disease. This allows users to receive more appropriate medical treatment by simultaneously searching for the most suitable hospital and doctor based on symptoms and address information.

[0057] The hospital search unit can add detailed information to the hospital search results, such as the hospital's facilities and whether or not it has specialists. For example, if a user enters "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will display detailed information, including the hospital's facilities and whether or not it has specialists. Also, if a user enters "I have a fever" and "Kita Ward, Osaka City," the hospital search unit will display detailed information, including the hospital's facilities and whether or not it has specialists. Also, if a user enters "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the hospital search unit will display detailed information, including the hospital's facilities and whether or not it has specialists. By adding detailed information, such as the hospital's facilities and whether or not it has specialists, users can select a more appropriate hospital.

[0058] The processing flow of the first embodiment will be briefly explained below.

[0059] Step 1: The symptom input unit allows the user to input symptoms, such as "I have a headache," "I have a fever," or "I can't stop coughing." Step 2: In the address input section, the user inputs an address. For example, the user inputs an address such as "Shinjuku-ku, Tokyo," "Kita-ku, Osaka," or "Naka-ku, Nagoya." Step 3: The hospital search unit analyzes the information entered by the symptom input unit and address input unit and searches for the most suitable hospital. For example, using a generation AI, it searches for nearby internal medicine and neurology hospitals based on the symptoms and address information entered by the user and displays them as a list. Step 4: The reservation unit selects the desired hospital from the list of hospitals searched by the hospital search unit and makes a reservation. For example, the user selects the desired hospital, checks the hospital's detailed information, selects the desired date and time, and makes a reservation. Once the reservation is complete, a confirmation email can also be sent. Step 5: The online medical consultation guidance unit guides users who wish to receive online medical consultation to a specific online medical consultation service. For example, if a user selects "I wish to receive online medical consultation," the generation AI displays a link to the online medical consultation service based on that information, and the user can click on the link to access the online medical consultation service and receive medical treatment.

[0060] (Example 2) The hospital search and reservation system according to an embodiment of the present invention is a system that allows users to search for an appropriate hospital when they become ill and complete a reservation. It also has a function of directing users who wish to receive online medical care to a specific online medical care service. This allows the hospital search and reservation system to quickly search for an appropriate hospital when they become ill and complete a reservation. Furthermore, by directing users who wish to receive online medical care to a specific online medical care service, convenience can be improved.

[0061] The hospital search and reservation system according to the embodiment includes a symptom input unit, an address input unit, a hospital search unit, a reservation unit, and an online medical consultation guidance unit. The symptom input unit allows a user to input symptoms. For example, the user may input "I have a headache." The symptom input unit can also allow a user to input "I have a fever." The symptom input unit can also allow a user to input "I have a persistent cough." The address input unit allows a user to input an address. For example, the user may input "Shinjuku Ward, Tokyo." The address input unit can also allow a user to input "Kita Ward, Osaka City." The address input unit can also allow a user to input "Naka ​​Ward, Nagoya City." The hospital search unit analyzes the information input by the symptom input unit and the address input unit and searches for an optimal hospital. For example, the hospital search unit uses a generation AI to search for nearby internal medicine or neurology hospitals based on the symptoms and address information input by the user. The hospital search unit can also use a generation AI to display a list of nearby internal medicine or neurology hospitals based on the symptoms and address information input by the user. The hospital search unit can also use the generation AI to search for nearby internal medicine and neurology hospitals based on the symptoms and address information entered by the user and display the results as a list. The reservation unit selects a desired hospital from the list of hospitals searched by the hospital search unit and makes a reservation. For example, the reservation unit allows the user to select a desired hospital and check detailed information about the hospital. The reservation unit can also select a desired date and time and make a reservation. The reservation unit can also send a confirmation email once the reservation is completed. The online medical consultation guidance unit guides a user who desires online medical consultation to a specific online medical consultation service. For example, if the user selects "I desire online medical consultation," the generation AI displays a link to the online medical consultation service based on the information. The online medical consultation guidance unit can also allow the user to click the link to access the online medical consultation service and receive medical treatment. The online medical consultation guidance unit can also allow the user to click the link to the online medical consultation service and access the service. As a result, the hospital search and reservation system according to the embodiment can quickly search for an appropriate hospital when the user becomes ill and complete a reservation.In addition, convenience can be improved for users who wish to receive online medical care by directing them to a specific online medical care service.

[0062] In the symptom input section, the generation AI presents completion candidates in real time for the symptoms entered by the user, reducing the effort required for input. For example, when a user begins to enter "headache," the generation AI displays completion candidates such as "headache," "headache and nausea," and "migraine" in real time. This allows the user to simply select the one that most closely matches their symptoms. Similarly, when a user enters "fever," the generation AI presents candidates such as "fever," "persistent high fever," and "low-grade fever." This allows the user to easily select detailed symptoms. Similarly, when a user begins to enter "cough," the generation AI presents completion candidates such as "persistent cough," "dry cough," and "cough with phlegm." This allows the user to accurately enter their symptoms. This reduces the effort required for user input and supports accurate symptom input.

[0063] The symptom input unit can refer to the user's past medical history and automatically suggest related symptoms. For example, if the user has a history of receiving medical treatment for a "headache" in the past, when the symptom input unit begins to input "headache" again, the generation AI will display a suggestion such as "Is it the same headache as last time?". Also, if the user has a history of receiving medical treatment for a "fever" in the past, when the symptom input unit inputs "fever" again, the generation AI will display a suggestion such as "Are you experiencing the same fever symptoms as last time?". Also, if the user has a history of receiving medical treatment for a "cough" in the past, when the symptom input unit begins to input "cough" again, the generation AI will display a suggestion such as "Are you experiencing the same cough symptoms as last time?". This makes it possible to support more accurate medical treatment by suggesting related symptoms based on the user's past medical history.

[0064] The symptom input unit can use the emotion estimation function to analyze the emotion of the user at the time of input and suggest relaxation methods to reduce stress. For example, if the user inputs "headache" and the emotion estimation function detects stress, the symptom input unit suggests a relaxation method such as "take a deep breath and relax." Furthermore, if the user inputs "fever" and the emotion estimation function detects anxiety, the symptom input unit suggests a relaxation method such as "drink a hot drink and relax." Furthermore, if the user inputs "cough" and the emotion estimation function detects irritation, the symptom input unit suggests a relaxation method such as "listen to slow music and relax." In this way, by analyzing the user's emotional state and suggesting relaxation methods, stress can be reduced.

[0065] The symptom input unit and the address input unit can use voice recognition technology to input data, enabling hands-free operation. For example, when a user vocally inputs "I have a headache," the symptom input unit and the address input unit use voice recognition technology to convert the input data into text and input it into the system. Also, when a user vocally inputs an address such as "Shinjuku-ku, Tokyo," the symptom input unit and the address input unit use voice recognition technology to convert the input data into text and input it into the system. Also, when a user vocally inputs "I have a fever," the symptom input unit and the address input unit use voice recognition technology to convert the input data into text and input it into the system. Thus, using voice recognition technology enables hands-free operation, improving user convenience.

[0066] The symptom input unit can display health information and preventive measures related to the symptoms selected by the user. For example, when a user inputs "I have a headache," the generation AI displays health information such as "Causes of headaches and preventive measures." When a user inputs "I have a fever," the generation AI displays health information such as "Causes of fever and how to deal with it." When a user inputs "I can't stop coughing," the symptom input unit displays health information such as "Causes of coughs and preventive measures." This makes it possible to support the user's health management by displaying health information and preventive measures related to the symptoms selected by the user.

[0067] The symptom input unit can use the emotion estimation function to analyze the emotion of the user at the time of input and provide an interface design that elicits positive emotions. For example, when the user inputs "headache," if the emotion estimation function detects a negative emotion, the symptom input unit provides an interface that displays bright colors and encouraging messages. Furthermore, when the user inputs "fever," if the emotion estimation function detects anxiety, the symptom input unit provides an interface that displays a reassuring design and plays relaxing music. Furthermore, when the user inputs "cough," if the emotion estimation function detects irritation, the symptom input unit provides an interface that displays calm colors and relaxing animations. In this way, the user's emotional state can be analyzed and an interface design that elicits positive emotions can be provided, thereby reducing stress.

[0068] The hospital search unit can suggest the most suitable hospital by taking into account the user's symptoms and address, as well as current traffic conditions and weather information. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the hospital search unit's generation AI will consider the current traffic conditions and suggest the most accessible hospital. Similarly, if a user inputs "I have a fever" and "Kita Ward, Osaka City," the hospital search unit's generation AI will consider the current weather information and suggest the nearest hospital. Similarly, if a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the hospital search unit's generation AI will consider traffic congestion information and suggest the quickest hospital to reach. This allows the unit to suggest the most suitable hospital for the user by taking into account traffic conditions and weather information.

[0069] The hospital search unit can reflect evaluations based on past patient treatment results and satisfaction. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will suggest highly rated hospitals based on past patient treatment results and satisfaction. If a user inputs "I have a fever" and "Kita Ward, Osaka City," the generation AI will suggest highly reliable hospitals based on past patient word-of-mouth reviews. If a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generation AI will suggest hospitals that provide effective treatment based on past patient treatment results. This makes it possible to suggest highly reliable hospitals by reflecting evaluations based on past patient treatment results and satisfaction.

[0070] The hospital search unit uses the emotion estimation function to suggest hospitals that correspond to the user's emotional state, providing a sense of security. For example, if the user inputs "I have a headache" and the emotion estimation function detects anxiety, the generation AI will suggest a hospital that provides a sense of security. Also, if the user inputs "I have a fever" and the emotion estimation function detects stress, the generation AI will suggest a hospital that provides a relaxing environment. Also, if the user inputs "I can't stop coughing" and the emotion estimation function detects irritation, the generation AI will suggest a hospital that provides a gentle response. In this way, the system can provide a sense of security by suggesting hospitals that correspond to the user's emotional state.

[0071] The hospital search unit can simultaneously search for the most suitable hospital and doctor based on symptom and address information. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the generated AI will simultaneously search for and suggest the most suitable hospital as well as a doctor specializing in headaches. Similarly, if a user inputs "I have a fever" and "Kita Ward, Osaka City," the generated AI will simultaneously search for and suggest the most suitable hospital as well as a doctor specializing in fever treatment. Similarly, if a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generated AI will simultaneously search for and suggest the most suitable hospital as well as a doctor specializing in respiratory disease. This allows users to receive more appropriate medical treatment by simultaneously searching for the most suitable hospital and doctor based on symptom and address information.

[0072] The hospital search unit can add detailed information such as the hospital's facilities and whether or not it has specialists to the hospital search results. For example, if a user enters "I have a headache" and "Shinjuku Ward, Tokyo," the hospital search unit's generation AI will display detailed information including the hospital's facilities and whether or not it has specialists. Also, if a user enters "I have a fever" and "Kita Ward, Osaka City," the hospital search unit's generation AI will display detailed information including the hospital's facilities and whether or not it has specialists. Also, if a user enters "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the hospital search unit's generation AI will display detailed information including the hospital's facilities and whether or not it has specialists. By adding detailed information such as the hospital's facilities and whether or not it has specialists, users can select a more appropriate hospital.

[0073] The hospital search unit can use the emotion estimation function to adjust the display order of search results according to the user's emotional state. For example, if the user inputs "I have a headache" and the emotion estimation function detects anxiety, the generation AI will display hospitals that provide a sense of security at the top of the search results. Also, if the user inputs "I have a fever" and the emotion estimation function detects stress, the generation AI will display hospitals that offer a relaxing environment at the top of the search results. Also, if the user inputs "I can't stop coughing" and the emotion estimation function detects irritation, the generation AI will display hospitals that provide a gentle response at the top of the search results. In this way, by adjusting the display order of search results according to the user's emotional state, it is possible to suggest the most suitable hospital for the user.

[0074] The reservation unit can display reviews and ratings from past patients in real time in the detailed information about the hospital. For example, when the user selects a hospital, the reservation unit displays reviews and ratings from past patients in real time, allowing the user to confirm the reliability of the hospital. Furthermore, when the user checks the detailed information about the hospital, the reservation unit displays evaluation scores and comments from past patients in real time to support the user in selecting a hospital. Furthermore, before the user makes a reservation at a hospital, the reservation unit displays reviews and ratings from past patients in real time to help the user select a hospital. In this way, by displaying reviews and ratings from past patients in real time, the user can select a reliable hospital.

[0075] The reservation unit can refer to the user's past medical history when making a reservation and automatically suggest an appropriate medical department and doctor. For example, when the user makes a hospital reservation, the reservation unit refers to the user's past medical history and automatically suggests an appropriate medical department and doctor. For example, if the user has been treated for a headache in the past, a doctor specializing in headaches is suggested. Furthermore, when the user makes a hospital reservation, the reservation unit automatically suggests an appropriate medical department based on the user's past medical history. For example, if the user has been treated for a fever in the past, an internal medicine specialist is suggested. Furthermore, when the user makes a hospital reservation, the reservation unit automatically suggests an appropriate doctor based on the user's past medical history. For example, if the user has been treated for a cough in the past, a doctor specializing in respiratory disease is suggested. In this way, by suggesting an appropriate medical department and doctor based on the user's past medical history, the user can receive more appropriate medical treatment.

[0076] The reservation unit can use the emotion estimation function to customize an appointment confirmation message according to the user's emotional state. For example, when the emotion estimation function detects anxiety when the user makes a hospital appointment, the reservation unit displays an appointment confirmation message that provides a sense of security. For example, a message such as "Don't worry, a specialized doctor will assist you" is displayed. Furthermore, when the emotion estimation function detects stress when the user makes a hospital appointment, the reservation unit displays an appointment confirmation message that provides a sense of relaxation. For example, a message such as "Please come relaxed." Furthermore, when the emotion estimation function detects irritation when the user makes a hospital appointment, the reservation unit displays a calm appointment confirmation message. For example, a message such as "We look forward to seeing you." In this way, a sense of security can be provided by customizing the appointment confirmation message according to the user's emotional state.

[0077] The reservation unit can add photos and video tours of the interior of the hospital to the detailed information about the hospital, allowing the user to check the atmosphere of the hospital in advance. For example, the reservation unit displays photos of the interior of the hospital when the user checks the detailed information about the hospital, allowing the user to check the atmosphere of the hospital in advance. For example, it displays photos of the waiting room and examination rooms. The reservation unit also displays a video tour of the hospital when the user checks the detailed information about the hospital, allowing the user to check the atmosphere of the hospital in advance. For example, it displays a video that guides the user around the hospital. The reservation unit also displays photos and video tours of the interior of the hospital when the user checks the detailed information about the hospital, allowing the user to check the atmosphere of the hospital in advance. For example, it displays photos and videos of examination rooms and testing rooms. In this way, by adding photos and video tours of the interior of the hospital, the user can check the atmosphere of the hospital in advance.

[0078] The reservation unit can also simultaneously display information about pharmacies and health facilities near the hospital selected by the user when making a reservation. For example, when the user makes a hospital reservation, the reservation unit simultaneously displays information about pharmacies near the selected hospital. For example, it displays the nearest pharmacy for picking up a prescription. Furthermore, when the user makes a hospital reservation, the reservation unit simultaneously displays information about health facilities near the selected hospital. For example, it displays information about rehabilitation facilities and fitness centers. Furthermore, when the user makes a hospital reservation, the reservation unit simultaneously displays information about pharmacies and health facilities near the selected hospital. For example, it displays information about pharmacies and health food stores. In this way, by simultaneously displaying information about pharmacies and health facilities near the hospital, convenience for the user can be improved.

[0079] The reservation unit can use the emotion estimation function to provide an interface for the reservation procedure that corresponds to the user's emotional state. For example, if the emotion estimation function detects anxiety when the user makes a hospital reservation, the reservation unit provides an interface that gives a sense of security. For example, it displays calming colors and encouraging messages. Furthermore, if the emotion estimation function detects stress when the user makes a hospital reservation, the reservation unit provides an interface that allows the user to relax. For example, it plays relaxing music. Furthermore, if the emotion estimation function detects irritation when the user makes a hospital reservation, the reservation unit provides a calming interface. For example, it displays calming animations and relaxing designs. In this way, by providing an interface that corresponds to the user's emotional state, the reservation procedure can be carried out smoothly.

[0080] The online medical consultation guidance unit can suggest the most appropriate online medical consultation service based on the user's symptoms and past medical history. For example, if the user selects "I would like to receive online medical consultation," the generating AI will suggest the most appropriate online medical consultation service based on the user's past medical history. For example, if the user has previously received medical treatment for a headache, the generating AI will suggest an online medical consultation service specializing in headaches. Furthermore, if the user selects "I would like to receive online medical consultation," the generating AI will suggest the most appropriate online medical consultation service based on the user's past medical history. For example, if the user has previously received medical treatment for a fever, the generating AI will suggest an online medical consultation service specializing in fever treatment. Furthermore, if the user selects "I would like to receive online medical consultation," the generating AI will suggest the most appropriate online medical consultation service based on the user's past medical history. For example, if the user has previously received medical treatment for a cough, the generating AI will suggest an online medical consultation service specializing in respiratory care. In this way, the most appropriate online medical consultation service is suggested based on the user's symptoms and past medical history, allowing the user to receive appropriate medical treatment.

[0081] The online medical consultation guidance unit can add information that takes into consideration the doctor's specialty and flexibility of consultation hours to the options for online medical consultation services. For example, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit displays information that takes into consideration the doctor's specialty and flexibility of consultation hours. For example, it suggests doctors who specialize in headaches or doctors who are available at night. Furthermore, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit displays information that takes into consideration the doctor's specialty and flexibility of consultation hours. For example, it suggests doctors who specialize in fever treatment or doctors who are available on weekends. Furthermore, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit displays information that takes into consideration the doctor's specialty and flexibility of consultation hours. For example, it suggests doctors who specialize in respiratory medicine or doctors who are available early in the morning. In this way, by adding information that takes into consideration the doctor's specialty and flexibility of consultation hours, it is possible to suggest the optimal online medical consultation service for the user.

[0082] The online medical consultation guidance unit can use the emotion estimation function to suggest online medical consultation services that correspond to the user's emotional state. For example, when a user selects "I would like to have an online medical consultation," if the emotion estimation function detects anxiety, the generation AI will suggest an online medical consultation service that provides a sense of security. For example, it will suggest a doctor who has a calm response. Furthermore, when a user selects "I would like to have an online medical consultation," if the emotion estimation function detects stress, the generation AI will suggest an online medical consultation service that provides a relaxing environment. For example, it will suggest a doctor who plays relaxing music. Furthermore, when a user selects "I would like to have an online medical consultation," if the emotion estimation function detects irritation, the generation AI will suggest an online medical consultation service that provides a calm response. For example, it will suggest a doctor who displays calming animations. In this way, it is possible to provide a sense of security by suggesting online medical consultation services that correspond to the user's emotional state.

[0083] The online medical consultation guidance unit can add information that takes into consideration the user's insurance coverage and costs to the options for online medical consultation services. For example, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit causes the generation AI to display information that takes into consideration the user's insurance coverage and costs. For example, it may suggest online medical consultation services that are covered by insurance. Furthermore, when a user selects "I would like to receive online medical consultation," the generation AI displays information that takes into consideration the user's insurance coverage and costs. For example, it may suggest online medical consultation services that are inexpensive. Furthermore, when a user selects "I would like to receive online medical consultation," the generation AI displays information that takes into consideration the user's insurance coverage and costs. For example, it may suggest online medical consultation services that allow medical consultation within the scope of insurance coverage. In this way, by adding information that takes into consideration the user's insurance coverage and costs, it is possible to suggest the most suitable online medical consultation service for the user.

[0084] The online medical consultation guidance unit can suggest services that correspond to the user's language and cultural background as options for online medical consultation services. For example, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit causes the generation AI to suggest online medical consultation services that correspond to the user's language and cultural background. For example, it suggests doctors who speak English or doctors who support multiculturalism. Furthermore, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit causes the generation AI to suggest online medical consultation services that correspond to the user's language and cultural background. For example, it suggests doctors who speak Spanish or doctors who support multiculturalism. Furthermore, when a user selects "I would like to receive online medical consultation," the online medical consultation guidance unit causes the generation AI to suggest online medical consultation services that correspond to the user's language and cultural background. For example, it suggests doctors who speak Chinese or doctors who support multiculturalism. This allows the user to receive more appropriate online medical consultation by suggesting services that correspond to the user's language and cultural background.

[0085] The online medical consultation guidance unit can use the emotion estimation function to provide an interface for the online medical consultation service that corresponds to the user's emotional state. For example, if the emotion estimation function detects anxiety when the user selects "I would like to receive online medical consultation," the online medical consultation guidance unit provides an interface that gives a sense of security. For example, it displays calming colors and encouraging messages. Furthermore, if the emotion estimation function detects stress when the user selects "I would like to receive online medical consultation," the online medical consultation guidance unit provides a relaxing interface. For example, it plays relaxing music. Furthermore, if the emotion estimation function detects irritation when the user selects "I would like to receive online medical consultation," the online medical consultation guidance unit provides a calming interface. For example, it displays calming animations and relaxing designs. This allows the online medical consultation to be carried out smoothly by providing an interface that corresponds to the user's emotional state.

[0086] The online medical consultation guidance unit automatically provides the doctor with the user's past medical history when the online medical consultation service is used, thereby improving the efficiency of medical consultations. For example, when the user uses the online medical consultation service, the online medical consultation guidance unit automatically provides the doctor with the past medical history. For example, information about past medical treatment details and prescribed medications is shared with the doctor. Furthermore, when the user uses the online medical consultation service, the online medical consultation guidance unit automatically provides the doctor with the past medical history. For example, past test results and diagnosis details are shared with the doctor. Furthermore, when the user uses the online medical consultation service, the online medical consultation guidance unit automatically provides the doctor with the past medical history. For example, past treatment progress and allergy information is shared with the doctor. In this way, the efficiency of medical consultations can be improved by automatically providing the doctor with the user's past medical history.

[0087] The online medical consultation guidance unit can provide real-time health advice and preventive measures tailored to the user's symptoms during the online medical consultation. For example, if a user complains of a headache during an online medical consultation, the generation AI will provide real-time health advice and preventive measures for the headache. For example, it will display advice such as "drink plenty of fluids" and "avoid stress." If a user complains of a fever during an online medical consultation, the generation AI will provide real-time health advice and preventive measures for the fever. For example, it will display advice such as "take plenty of rest" and "cool your body." If a user complains of a persistent cough during an online medical consultation, the generation AI will provide real-time health advice and preventive measures for the cough. For example, it will display advice such as "drink warm beverages" and "use a humidifier." This allows for appropriate medical treatment by providing real-time health advice and preventive measures tailored to the user's symptoms.

[0088] The online medical consultation guidance unit can use the emotion estimation function to suggest to the doctor a medical approach that corresponds to the user's emotional state. For example, if the user feels anxious during the online medical consultation, the emotion estimation function provides that information to the doctor and suggests a medical approach that provides a sense of security. For example, it suggests speaking in a calm voice or providing detailed explanations. Furthermore, if the user feels stressed during the online medical consultation, the emotion estimation function provides that information to the doctor and suggests a medical approach that allows the user to relax. For example, it suggests playing relaxing music or taking a break. Furthermore, if the user feels irritated during the online medical consultation, the emotion estimation function provides that information to the doctor and suggests a medical approach that provides a calm response. For example, it suggests using calm language and speaking slowly. This makes it possible to support appropriate medical treatment by suggesting to the doctor a medical approach that corresponds to the user's emotional state.

[0089] The online medical consultation guidance unit can provide a function that allows the user to record medical consultation details and review them later when using the online medical consultation service. The online medical consultation guidance unit, for example, provides a function that allows the user to record medical consultation details during an online medical consultation and review them later. For example, the doctor's explanations and advice during the consultation can be recorded and reviewed later. The online medical consultation guidance unit also provides a function that allows the user to record medical consultation details during an online medical consultation and review them later. For example, the doctor's explanations and advice during the consultation can be recorded and reviewed later. The online medical consultation guidance unit also provides a function that allows the user to record medical consultation details during an online medical consultation and review them later. For example, the doctor's explanations and usage instructions during the consultation can be recorded and reviewed later. The online medical consultation guidance unit also provides a function that allows the user to record medical consultation details during an online medical consultation and review them later. For example, the test results and treatment guidelines during the consultation can be recorded and reviewed later. By providing a function that allows the user to record medical consultation details and review them later, a deeper understanding of the medical consultation details can be achieved.

[0090] The online medical consultation guidance unit can provide a chat function that allows a user to input questions in real time during a medical consultation when using the online medical consultation service. The online medical consultation guidance unit provides, for example, a chat function that allows a user to input questions in real time during an online medical consultation. For example, the user can ask a doctor via chat about any doubts or concerns they may have during the medical consultation. The online medical consultation guidance unit also provides a chat function that allows a user to input questions in real time during an online medical consultation. For example, the user can ask a doctor via chat about how to use prescribed medications or side effects during the medical consultation. The online medical consultation guidance unit also provides a chat function that allows a user to input questions in real time during an online medical consultation. For example, the user can ask a doctor via chat about test results or treatment plans during the medical consultation. Thus, by providing a chat function that allows a user to input questions in real time during a medical consultation, the quality of medical consultations is improved.

[0091] The online medical consultation guidance unit can use the emotion estimation function to automatically generate a follow-up message after a medical consultation that corresponds to the user's emotional state. For example, after a user receives an online medical consultation, the emotion estimation function analyzes the user's emotional state and automatically generates an appropriate follow-up message. For example, to a user who is feeling anxious, the emotion estimation function sends a message such as "Don't worry, we look forward to seeing you again at your next medical consultation." Furthermore, after a user receives an online medical consultation, the emotion estimation function analyzes the user's emotional state and automatically generates an appropriate follow-up message. For example, to a user who is feeling stressed, the emotion estimation function sends a message such as "Please relax." Furthermore, after a user receives an online medical consultation, the emotion estimation function analyzes the user's emotional state and automatically generates an appropriate follow-up message. For example, to a user who is feeling irritated, the emotion estimation function sends a message such as "Take care of yourself." In this way, by automatically generating a follow-up message according to the user's emotional state, post-medical care is enhanced.

[0092] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0093] The symptom input unit can refer to the user's past medical history and automatically suggest related symptoms. For example, if the user has previously been treated for a "headache," when they start to input "headache" again, the generation AI will display a suggestion such as "Is it the same headache as last time?". Also, if the user has previously been treated for a "fever," when they input "fever" again, the generation AI will display a suggestion such as "Are you experiencing the same fever symptoms as last time?". Also, if the user has previously been treated for a "cough," when they start to input "cough" again, the generation AI will display a suggestion such as "Are you experiencing the same cough symptoms as last time?". This makes it possible to support more accurate medical treatment by suggesting related symptoms based on the user's past medical history.

[0094] The symptom input unit can use the emotion estimation function to analyze the emotion of the user at the time of input and suggest relaxation methods to reduce stress. For example, if the emotion estimation function detects stress when the user inputs "headache," it will suggest a relaxation method such as "take a deep breath and relax." Furthermore, if the emotion estimation function detects anxiety when the user inputs "fever," it will suggest a relaxation method such as "drink a hot drink and relax." Furthermore, if the emotion estimation function detects irritation when the user inputs "cough," it will suggest a relaxation method such as "listen to slow music and relax." In this way, by analyzing the user's emotional state and suggesting relaxation methods, stress can be reduced.

[0095] The symptom input unit and address input unit can use voice recognition technology to input information, enabling hands-free operation. For example, when a user speaks, "I have a headache," the voice recognition technology converts the information into text and inputs it into the system. Furthermore, when a user speaks, "Shinjuku-ku, Tokyo," the symptom input unit and address input unit convert the information into text and inputs it into the system. Furthermore, when a user speaks, "I have a fever," the symptom input unit and address input unit convert the information into text and inputs it into the system. Thus, using voice recognition technology enables hands-free operation, improving user convenience.

[0096] The symptom input unit can display health information and preventative measures related to the symptoms selected by the user. For example, if a user inputs "I have a headache," the generation AI will display health information such as "Causes of headaches and preventative measures." If a user inputs "I have a fever," the symptom input unit will display health information such as "Causes of fever and how to deal with it." If a user inputs "I can't stop coughing," the symptom input unit will display health information such as "Causes of coughing and preventative measures." This makes it possible to support the user's health management by displaying health information and preventative measures related to the symptoms selected by the user.

[0097] The symptom input unit can use the emotion estimation function to analyze the emotion of the user when inputting information and provide an interface design that elicits positive emotions. For example, if the emotion estimation function detects a negative emotion when the user inputs "headache," the unit provides an interface that displays bright colors and encouraging messages. If the emotion estimation function detects anxiety when the user inputs "fever," the unit provides an interface that displays a reassuring design and plays relaxing music. If the emotion estimation function detects irritation when the user inputs "cough," the unit provides an interface that displays calm colors and relaxing animations. This makes it possible to reduce the user's stress by analyzing the user's emotional state and providing an interface design that elicits positive emotions.

[0098] The hospital search unit can suggest the most suitable hospital by taking into account the user's symptoms and address, as well as current traffic conditions and weather information. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will consider the current traffic conditions and suggest the most accessible hospital. Similarly, if a user inputs "I have a fever" and "Kita Ward, Osaka City," the generation AI will consider the current weather information and suggest the nearest hospital. Similarly, if a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generation AI will consider traffic congestion information and suggest the quickest hospital to reach. This allows the system to suggest the most suitable hospital for the user by taking traffic conditions and weather information into account.

[0099] The hospital search unit can reflect evaluations based on past patient treatment results and satisfaction. For example, if a user inputs "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will suggest highly rated hospitals based on past patient treatment results and satisfaction. If a user inputs "I have a fever" and "Kita Ward, Osaka City," the generation AI will suggest highly reliable hospitals based on word-of-mouth reviews from past patients. If a user inputs "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generation AI will suggest hospitals that provide effective treatment based on past patient treatment results. This makes it possible to suggest highly reliable hospitals by reflecting evaluations based on past patient treatment results and satisfaction.

[0100] The hospital search unit uses the emotion estimation function to suggest hospitals that correspond to the user's emotional state, providing a sense of security. For example, if a user inputs "I have a headache" and the emotion estimation function detects anxiety, the generation AI will suggest a hospital that provides a sense of security. Also, if a user inputs "I have a fever" and the emotion estimation function detects stress, the generation AI will suggest a hospital that provides a relaxing environment. Also, if a user inputs "I can't stop coughing" and the emotion estimation function detects irritation, the generation AI will suggest a hospital that provides a gentle response. In this way, the system can provide a sense of security by suggesting hospitals that correspond to the user's emotional state.

[0101] The hospital search unit can simultaneously search for the most suitable hospital and doctor based on symptoms and address information. For example, if a user enters "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will simultaneously search for and suggest the most suitable hospital and doctor who specializes in headaches. Similarly, if a user enters "I have a fever" and "Kita Ward, Osaka City," the generation AI will simultaneously search for and suggest the most suitable hospital and doctor who specializes in fever treatment. Similarly, if a user enters "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the generation AI will simultaneously search for and suggest the most suitable hospital and doctor who specializes in respiratory disease. This allows users to receive more appropriate medical treatment by simultaneously searching for the most suitable hospital and doctor based on symptoms and address information.

[0102] The hospital search unit can add detailed information to the hospital search results, such as the hospital's facilities and whether or not it has specialists. For example, if a user enters "I have a headache" and "Shinjuku Ward, Tokyo," the generation AI will display detailed information, including the hospital's facilities and whether or not it has specialists. Also, if a user enters "I have a fever" and "Kita Ward, Osaka City," the hospital search unit will display detailed information, including the hospital's facilities and whether or not it has specialists. Also, if a user enters "I have a persistent cough" and "Naka ​​Ward, Nagoya City," the hospital search unit will display detailed information, including the hospital's facilities and whether or not it has specialists. By adding detailed information, such as the hospital's facilities and whether or not it has specialists, users can select a more appropriate hospital.

[0103] The processing flow of the second embodiment will be briefly explained below.

[0104] Step 1: The symptom input unit allows the user to input symptoms, such as "I have a headache," "I have a fever," or "I can't stop coughing." Step 2: In the address input section, the user inputs an address. For example, the user inputs an address such as "Shinjuku-ku, Tokyo," "Kita-ku, Osaka," or "Naka-ku, Nagoya." Step 3: The hospital search unit analyzes the information entered by the symptom input unit and address input unit and searches for the most suitable hospital. For example, using a generation AI, it searches for nearby internal medicine and neurology hospitals based on the symptoms and address information entered by the user and displays them as a list. Step 4: The reservation unit selects the desired hospital from the list of hospitals searched by the hospital search unit and makes a reservation. For example, the user selects the desired hospital, checks the hospital's detailed information, selects the desired date and time, and makes a reservation. Once the reservation is complete, a confirmation email can also be sent. Step 5: The online medical consultation guidance unit guides users who wish to receive online medical consultation to a specific online medical consultation service. For example, if a user selects "I wish to receive online medical consultation," the generation AI displays a link to the online medical consultation service based on that information, and the user can click on the link to access the online medical consultation service and receive medical treatment.

[0105] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0106] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (Internet Search<URL: https: / / openai.com / blog / chatgpt> Examples of generative AIs include the data generation model 58, such as a neural network model (e.g., a neural network model), and a neural network model (e.g., a neural network model). The data generation model 58 is obtained by performing deep learning on a neural network. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating speech, text data indicating text, and image data indicating an image is also input to the data generation model 58. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0107] Furthermore, the processing by the data processing system 10 described above is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0108] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0109] 3, the data processing system 210 includes the data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0110] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0111] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication I / F 44. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, and the camera 42 are also connected to the bus 52.

[0112] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0113] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0114] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0115] Fig. 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Fig. 4, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0116] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0117] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0118] In the smart glasses 214, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0119] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0120] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0121] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0122] The data processing system 210 according to the second embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 210 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the smart glasses 214 or an external device, etc., and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0123] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0124] 5, the data processing system 310 includes the data processing device 12 and a headset type terminal 314. An example of the data processing device 12 is a server.

[0125] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0126] The headset type terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a display 343. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the display 343 are also connected to the bus 52.

[0127] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0128] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0129] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0130] Fig. 6 shows an example of the main functions of the data processing device 12 and the headset type terminal 314. As shown in Fig. 6, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0131] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0132] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0133] In the headset type terminal 314, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. Note that the headset type terminal 314 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0134] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0135] The specific processing unit 290 transmits the result of the specific processing to the headset type terminal 314. In the headset type terminal 314, the control unit 46A causes the speaker 240 and the display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating a user input regarding the result of the specific processing. The control unit 46A transmits audio data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0136] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0137] The data processing system 310 according to the third embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 310 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset type terminal 314, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset type terminal 314. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the headset type terminal 314 or an external device, etc., and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0138] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0139] 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0140] The data processing device 12 includes a computer 22, a database 24, and a communication I / F 26. The computer 22 includes a processor 28, a RAM 30, and a storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication I / F 26 are also connected to the bus 34. The communication I / F 26 is connected to a network 54. Examples of the network 54 include a WAN and / or a LAN.

[0141] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication I / F 44, and a control target 443. The computer 36 includes a processor 46, a RAM 48, and a storage 50. The processor 46, the RAM 48, and the storage 50 are connected to a bus 52. The microphone 238, the speaker 240, the camera 42, and the control target 443 are also connected to the bus 52.

[0142] The microphone 238 receives instructions and the like from the user by receiving voice uttered by the user. The microphone 238 captures the voice uttered by the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to instructions from the processor 46.

[0143] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (for example, an imaging range defined by an angle of view equivalent to the field of vision of a typical healthy person).

[0144] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for the exchange of various information between the processor 46 and the processor 28 via the network 54. The exchange of various information between the processor 46 and the processor 28 using the communication I / Fs 44 and 26 is carried out in a secure state.

[0145] The control object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the emotions of the robot 414 can be expressed by controlling these motors. In addition, the facial expressions of the robot 414 can also be expressed by controlling the light emission state of the LEDs in the eyes of the robot 414.

[0146] Fig. 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Fig. 8, in the data processing device 12, a specific process is performed by the processor 28. A specific process program 56 is stored in the storage 32.

[0147] The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0148] The storage 32 stores a data generation model 58 and an emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290. The identification processing unit 290 can estimate a user's emotion using the emotion identification model 59 and perform identification processing using the user's emotion. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, but is not limited to these examples. Furthermore, the estimation and prediction of emotion also includes, for example, emotion analysis.

[0149] In the robot 414, the specific processing is performed by the processor 46. A specific processing program 60 is stored in the storage 50. The processor 46 reads the specific processing program 60 from the storage 50 and executes the read specific processing program 60 on the RAM 48. The specific processing is realized by the processor 46 operating as the control unit 46A in accordance with the specific processing program 60 executed on the RAM 48. The robot 414 has a data generation model and an emotion identification model similar to the data generation model 58 and the emotion identification model 59, and can also perform processing similar to that of the specific processing unit 290 using these models.

[0150] Note that a device other than the data processing device 12 may have the data generation model 58. For example, a server device may have the data generation model 58. In this case, the data processing device 12 communicates with the server device having the data generation model 58 to obtain a processing result (such as a prediction result) using the data generation model 58. Furthermore, the data processing device 12 may be a server device, or may be a terminal device (for example, a mobile phone, a robot, a home appliance, etc.) owned by a user.

[0151] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the control target 443 to output the result of the specific processing. The microphone 238 acquires voice indicating a user input regarding the result of the specific processing. The control unit 46A transmits voice data indicating the user input acquired by the microphone 238 to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the voice data.

[0152] The data generation model 58 is a so-called generative AI. An example of the data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 receives a prompt containing an instruction, as well as inference data such as voice data representing speech, text data representing text, and image data representing an image. The data generation model 58 performs inference on the input inference data in accordance with the instruction indicated by the prompt and outputs the inference result in a data format such as voice data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The identification processing unit 290 performs the above-mentioned identification processing using the data generation model 58. The data generation model 58 may be a fine-tuned model so as to output an inference result from a prompt that does not include an instruction. In this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. The data processing device 12 and the like include multiple types of data generation models 58, and the data generation model 58 includes AIs other than the generative AI. The AI ​​other than the generative AI may be, for example, linear regression, logistic regression, decision tree, random forest, support vector machine (SVM), k-means clustering, convolutional neural network (CNN), recurrent neural network (RNN), generative adversarial network (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. The AI ​​may also be an AI agent. When the processes of each of the above-mentioned parts are performed by AI, the processes may be performed in part or entirely by AI, but are not limited to these examples. The processes performed by AI, including the generative AI, may be replaced with rule-based processes.

[0153] The data processing system 410 according to the fourth embodiment performs the same processing as the data processing system 10 according to the first embodiment. The processing by the data processing system 410 is executed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but may also be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. Furthermore, the specific processing unit 290 of the data processing device 12 acquires or collects information required for processing from the robot 414 or an external device, etc., and the robot 414 acquires or collects information required for processing from the data processing device 12 or an external device, etc.

[0154] The emotion identification model 59 as an emotion engine may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0155] FIG. 9 illustrates an emotion map 400 on which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. Emotions closer to the center of the concentric circles are more primitive. Emotions representing states and behaviors arising from a state of mind are arranged on the outer edges of the concentric circles. The concept of emotion encompasses both emotions and mental states. Emotions generally generated from reactions occurring in the brain are arranged on the left side of the concentric circles. Emotions generally induced by situational judgment are arranged on the right side of the concentric circles. Emotions generally generated from reactions occurring in the brain and induced by situational judgment are arranged on the upper and lower sides of the concentric circles. Furthermore, the emotion of "pleasure" is arranged on the upper side of the concentric circles, and the emotion of "discomfort" is arranged on the lower side. In this way, in the emotion map 400, multiple emotions are mapped based on the structure by which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0156] These emotions are distributed in the 3 o'clock direction on emotion map 400, and typically fluctuate between relief and anxiety. In the right half of emotion map 400, situational awareness dominates over internal sensations, resulting in a sense of calm.

[0157] The inside of emotion map 400 represents what is going on in the mind, and the outside of emotion map 400 represents behavior, so the further you go outside emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0158] Human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. Emotions can also be created for robots, cars, and motorcycles, based on various balances, such as posture and remaining battery life. When these balances deviate from the ideal, a state of discomfort is expressed, and when they approach the ideal, a state of pleasure is expressed. An emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on speech emotion recognition and brain physiological signal analysis systems for emotions, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map lists emotions belonging to the area called "reaction," where sensation is dominant. The right half of the emotion map lists emotions belonging to the area called "situation," where situational awareness is dominant.

[0159] The emotion map defines two emotions that promote learning. One is a negative emotion on the situation side, around the middle of "repentance" or "reflection." In other words, this occurs when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is a positive emotion on the response side, around "desire." In other words, this occurs when the robot experiences positive feelings such as "I want more" or "I want to know more."

[0160] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple pieces of training data that are combinations of user input and emotion values ​​indicating each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions that are located close to each other have similar values, as in the emotion map 900 shown in FIG. 10. FIG. 10 shows an example in which multiple emotions, "relieved," "calm," and "reassuring," have similar emotion values.

[0161] In the above embodiment, an example was given in which a specific process is performed by one computer 22, but the technology disclosed herein is not limited to this, and distributed processing of the specific process may be performed by multiple computers including computer 22.

[0162] In the above embodiment, an example in which the specific processing program 56 is stored in the storage 32 has been described, but the technology of the present disclosure is not limited to this. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-transitory storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-transitory storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes the specific processing in accordance with the specific processing program 56.

[0163] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0164] It is not necessary to store all of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store all of the specific processing program 56 in the storage 32; only a portion of the specific processing program 56 may be stored.

[0165] The hardware resource for executing a specific process can be any of the following types of processors: A processor, for example, is a CPU, which is a general-purpose processor that functions as a hardware resource for executing a specific process by executing software, i.e., a program. A processor also includes a dedicated electrical circuit, such as an FPGA (Field-Programmable Gate Array), a PLD (Programmable Logic Device), or an ASIC (Application Specific Integrated Circuit), which is a processor with a circuit configuration designed specifically for executing a specific process. Each processor has built-in or connected memory, and each processor uses the memory to execute the specific process.

[0166] The hardware resource that executes the specific process may be configured with one of these various processors, or may be configured with a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Also, the hardware resource that executes the specific process may be a single processor.

[0167] As an example of a system configured with a single processor, first, one processor is configured by combining one or more CPUs and software, and this processor functions as a hardware resource that executes a specific process. Second, there is a system that uses a processor that realizes the functions of an entire system including multiple hardware resources that execute a specific process on a single IC chip, as typified by SoC (System-on-a-chip). In this way, a specific process is realized using one or more of the above-mentioned various processors as hardware resources.

[0168] Furthermore, the hardware structure of these various processors can be, more specifically, an electric circuit that combines circuit elements such as semiconductor devices. The specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps may be deleted, new steps may be added, or the processing order may be rearranged, without departing from the spirit of the invention.

[0169] In the above example, the first to fourth embodiments have been described separately, but some or all of these embodiments may be combined. The smart device 14, smart glasses 214, headset terminal 314, and robot 414 are merely examples, and they may be combined, or other devices may be used. In the above example, the first and second embodiments have been described separately, but they may be combined.

[0170] The above-described description and illustrations are a detailed explanation of the parts related to the technology of the present disclosure and are merely an example of the technology of the present disclosure. For example, the above description of the configuration, functions, actions, and effects is an explanation of an example of the configuration, functions, actions, and effects of the parts related to the technology of the present disclosure. Therefore, it goes without saying that unnecessary parts may be deleted, new elements may be added, or replacements may be made to the above-described description and illustrations within the scope of the gist of the technology of the present disclosure. Furthermore, to avoid confusion and facilitate understanding of the parts related to the technology of the present disclosure, the above-described description and illustrations omit explanations of common technical knowledge that do not require particular explanation to enable the implementation of the technology of the present disclosure.

[0171] All publications, patent applications, and technical standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, or technical standard was specifically and individually indicated to be incorporated by reference. [Explanation of symbols]

[0172] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Device 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robot

Claims

1. a symptom input section for inputting symptoms; an address input section for inputting an address; a hospital search unit that analyzes the information input by the symptom input unit and the address input unit and searches for an optimal hospital; a reservation unit for selecting a desired hospital from the list of hospitals searched by the hospital search unit and making a reservation; and an online medical consultation guidance unit that guides a user who desires online medical consultation to a specific online medical consultation service. A system characterized by:

2. The symptom input unit When a user inputs symptoms, the generative AI provides completion candidates in real time, reducing the effort required for input.

2. The system of claim 1.

3. The symptom input unit Refer to the user's past medical history and automatically suggest related symptoms 2. The system of claim 1.

4. The symptom input unit Analyzes the user's emotions when typing and suggests relaxation methods to reduce stress 2. The system of claim 1.

5. The symptom input unit and the address input unit are Voice recognition technology is used for input, enabling hands-free operation 2. The system of claim 1.

6. The symptom input unit Display health information and preventative measures related to the symptoms selected by the user 2. The system of claim 1.

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