System

Abstract

To provide a system which efficiently collects and appropriately utilizes information of medical institutions and drug stores at a site during a trip abroad.SOLUTION: A system includes a collection part, a provision part, a reservation part, and a retrieval part. The collection part collects information of medical institutions and drug stores at a site. The provision part provides a traveler with information collected by the collection part. The reservation part makes a reservation of a medical institution or a drug store based on the information provided by the provision part. The retrieval part retrieves medicine information within a range of the Pharmaceutical Affairs Law of a country of departure.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 a description and related instruction sentence regarding 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] JP 2022-180282 A Summary of the Invention [Problem to be solved by the invention]

[0004] With conventional technology, there was a problem in that it was difficult to efficiently collect information on local medical institutions and pharmacies and use it appropriately when traveling abroad.

[0005] The system according to the embodiment aims to efficiently collect and appropriately use information on local medical institutions and pharmacies when traveling abroad. [Means for solving the problem]

[0006] The system according to the embodiment includes a collection unit, a provision unit, a reservation unit, and a search unit. The collection unit collects information on local medical institutions and pharmacies. The provision unit provides the information collected by the collection unit to the traveler. The reservation unit makes reservations at medical institutions and pharmacies based on the information provided by the provision unit. The search unit searches for drug information within the scope of the pharmaceutical affairs law of the departure country. Effect of the Invention

[0007] The system according to the embodiment can efficiently collect information on local medical institutions and pharmacies when traveling abroad and use it appropriately. [Brief description 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. [Diagram 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. FIG. [Diagram 3] FIG. 11 is a conceptual diagram showing an example of the configuration of a data processing system according to a second embodiment. [Figure 4] FIG. 11 is a conceptual diagram showing an example of main functions of a data processing device and smart glasses according to a second embodiment. [Diagram 5] FIG. 13 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. 13 is a conceptual diagram showing an example of the configuration of a data processing system according to a fourth embodiment. [Figure 8] FIG. 13 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 PREFERRED EMBODIMENTS

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

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

[0011] In the following embodiments, a signed processor (hereinafter simply referred to as a "processor") may be one arithmetic device or a combination of multiple arithmetic devices. Furthermore, a processor may be one 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 signed RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a working memory by the processor.

[0013] In the following embodiments, the coded storage is one or more non-volatile storage devices that store various programs and 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 code is an interface including a communication processor and an antenna. The communication I / F controls communication between multiple computers. An example of a communication standard applied to the communication I / F is a wireless communication standard including 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or 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. In addition, in this specification, the same idea as "A and / or B" is also applied when three or more things are expressed by connecting them with "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, the RAM 30, and the 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 (e.g., 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., voice and / or text). Display 40A displays visible information such as text and images according to instructions from processor 46. Speaker 40B outputs voice according to 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 Complementary Metal-Oxide-Semiconductor (CMOS) image sensor or a Charge Coupled Device (CCD) image sensor.

[0022] The communication I / F 44 is connected to a network 54. The communication I / Fs 44 and 26 are responsible for transmitting and receiving various types of information between the processor 46 and the processor 28 via the network 54.

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

[0024] As shown in Fig. 2, 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. The specific process program 56 is an example of a "program" according to the technology of the present disclosure. The processor 28 reads the specific process program 56 from the storage 32, and executes the read specific process 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 process 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 the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[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 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. Also, the data processing device 12 may be a server device, or may be a terminal device (e.g., a mobile phone, a robot, a home appliance, etc.) owned by a user. Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example 1) A medical support system according to an embodiment of the present invention is a system that allows a traveler to quickly and accurately obtain medical information locally when traveling abroad. This medical support system provides information on hospitals and drug stores in the area where the traveler is staying. For example, detailed information such as the location of the hospital, medical department, consultation hours, and language support status is provided. In addition, a function is also provided that allows the traveler to make a reservation at the hospital or drug store. This allows the traveler to use a medical institution quickly even in an emergency. Next, information on medicines that the traveler can obtain locally is provided. For example, information that is useful when searching locally for similar medicines to those used in the departure country is provided. In addition, a function is also provided to search for medicines that can be used within the scope of the pharmaceutical affairs law of the departure country. This allows the traveler to obtain appropriate medicines locally. This system is an important support tool for travelers to enjoy overseas travel with peace of mind. For example, information on hospitals and drug stores in the area where the traveler is staying is provided. For example, detailed information such as the location of the hospital, medical department, consultation hours, and language support status is provided. In addition, a function is also provided that allows the traveler to make a reservation at the hospital or drug store. This allows the traveler to use a medical institution quickly even in an emergency. Next, information on medicines that the traveler can obtain locally is provided. For example, it provides information that is useful when searching for similar medicines to those used in the departure country. In addition, it also provides a function to search for medicines that can be used within the scope of the pharmaceutical laws of the departure country. This allows travelers to obtain appropriate medicines locally. This system will be an important support tool for travelers to enjoy overseas travel with peace of mind. As a result, the medical support system will enable travelers to quickly and accurately obtain medical information locally and use appropriate medical institutions and pharmacies.

[0029] The medical support system according to the embodiment includes a collection unit, a provision unit, a reservation unit, and a search unit. The collection unit collects information on local medical institutions and pharmacies. The collection unit collects information such as the location, medical department, consultation hours, and language support status of local hospitals. For example, the collection unit can collect information by acquiring information from a database or using web scraping technology. The collection unit can also analyze the evaluations and reviews of local medical institutions and preferentially collect reliable information. For example, the collection unit analyzes past patient reviews of medical institutions and preferentially collects information on medical institutions with high evaluations. The provision unit provides the information collected by the collection unit to the traveler. The provision unit can provide the information through, for example, an application. The provision unit can also estimate the traveler's emotions and adjust the display method of the information to be provided based on the estimated emotions. For example, when the traveler feels anxious, the provision unit provides a simple and highly visible display method. The reservation unit makes a reservation at the medical institution or pharmacy based on the information provided by the provision unit. The reservation unit can make a reservation through, for example, an online reservation system or a telephone reservation. The reservation unit can also estimate the traveler's emotions and determine the priority of reservations based on the estimated emotions. For example, if the traveler feels anxious, the reservation unit prioritizes reservations that require emergency response. The search unit searches for drug information within the scope of the pharmaceutical affairs law of the departure country. The search unit provides, for example, a function of searching for similar drugs to those used in the departure country locally. The search unit can also estimate the traveler's emotions and adjust the display method of the search results based on the estimated emotions. For example, if the traveler feels anxious, the search unit provides a simple and highly visible display method. This allows the medical support system according to the embodiment to allow the traveler to quickly and accurately obtain medical information locally and use appropriate medical institutions and pharmacies. Some or all of the above-mentioned processes in the collection unit, provision unit, reservation unit, and search unit may be performed using, for example, AI, or may be performed without using AI. For example, the collection unit can automatically collect information using AI when collecting information on local medical institutions. The provision unit can adjust the display method of information using AI when providing the collected information to the traveler.The reservation department can use AI to prioritize reservations when making reservations at medical institutions or pharmacies. The search department can use AI to adjust how search results are displayed when searching for drug information.

[0030] The collection unit collects information on local medical institutions and pharmacies. The collection unit collects information such as the location, medical departments, consultation hours, and language support status of local hospitals. Specifically, the collection unit can collect information by acquiring information from a database or using web scraping technology. When acquiring information from a database, the official database provided by the local medical institution or the database of a public institution is used to acquire the latest and most accurate information. When using web scraping technology, the collection unit automatically extracts the necessary information from the official website or review site of the medical institution and stores it in the database. Furthermore, the collection unit can analyze the evaluations and reviews of the local medical institution and preferentially collect reliable information. For example, the collection unit analyzes the past patient reviews of the medical institution and preferentially collects information of medical institutions with high evaluations. This includes analyzing the contents of the reviews using natural language processing technology and classifying them into positive and negative evaluations. The collection unit can centrally manage this information and link it with other systems and departments as necessary. For example, the collected information is stored in a cloud server and made accessible to the provision department and reservation department. In addition, the collection unit can flexibly respond to specific situations and conditions by adjusting the frequency and accuracy of information collection, allowing the collection unit to collect data efficiently and effectively and improve the performance of the entire system.

[0031] The providing unit provides the information collected by the collecting unit to the traveler. The providing unit can provide the information through an application, for example. Specifically, the providing unit quickly provides the medical information required by the traveler through a smartphone application or a web application. The application has a user-friendly interface and is designed to allow the traveler to easily search and view information. Furthermore, the providing unit can estimate the traveler's emotions and adjust the display method of the information to be provided based on the estimated emotions. For example, if the traveler feels anxious, the providing unit provides a simple and highly visible display method. This includes highlighting important information and using colors and icons to make it visually easy to understand. In addition, the providing unit can provide information in multiple languages ​​according to the traveler's language settings. This allows the traveler to obtain information in his or her own native language and makes it easier to understand. The providing unit can update the collected information in real time and provide the latest information. For example, if the consultation hours or reservation status of a medical institution are changed, the providing unit immediately reflects this in the application and notifies the traveler. This allows the providing unit to assist the traveler in quickly and accurately obtaining medical information locally and using appropriate medical institutions and pharmacies.

[0032] The reservation unit makes reservations at medical institutions and pharmacies based on the information provided by the provision unit. The reservation unit can make reservations through, for example, an online reservation system or telephone reservation. Specifically, the reservation unit allows the traveler to select a desired medical institution or pharmacy through an application and complete the reservation procedure. In the online reservation system, the availability of medical institutions can be confirmed in real time and the reservation can be confirmed at the desired date and time. In addition, in the case of telephone reservations, the reservation unit can contact the medical institution on behalf of the traveler and complete the reservation procedure on their behalf. Furthermore, the reservation unit can estimate the traveler's emotions and determine the priority of reservations based on the estimated emotions. For example, if the traveler is feeling anxious, the reservation unit prioritizes reservations that require urgent response. This includes utilizing emotion analysis technology using AI to estimate emotions from the traveler's input and voice. The reservation unit provides an interface that allows easy procedures such as confirmation, change, and cancellation of reservations, improving the convenience of travelers. The reservation unit also has a function to track the status of reservations in real time and notify the traveler. In this way, the reservation unit supports travelers to smoothly use medical institutions and pharmacies, allowing them to enjoy their travels with peace of mind.

[0033] The search unit searches for drug information within the scope of the pharmaceutical affairs law of the departure country. For example, the search unit provides a function to search for similar drugs to those used in the departure country locally. Specifically, the search unit searches for and lists similar drugs available locally based on the ingredients and efficacy of the drugs used by the traveler. This includes a function to display only drugs that are legally available, taking into account the pharmaceutical affairs law and regulations of the departure country and the local country. The search unit can also estimate the traveler's emotions and adjust the display method of the search results based on the estimated emotions. For example, if the traveler feels anxious, the search unit provides a simple and highly visible display method. This includes highlighting important information and using colors and icons to make it visually easy to understand. In addition, the search unit provides detailed information, usage instructions, side effects, etc. of the drugs searched by the traveler to support appropriate use. The search unit can also use AI to analyze the traveler's search history and behavioral patterns and provide individually optimized search results. For example, based on information on drugs and medical institutions searched for in the past, related information is preferentially displayed. The search unit also checks the inventory status of local pharmacies in real time to help travelers obtain the medicines they need. This allows the search unit to support travelers in obtaining drug information quickly and accurately while on-site, helping them obtain the right medicines.

[0034] The collection unit can collect information on the location, medical departments, hours of operation, and language support status of local medical institutions. The collection unit can collect information such as the location, medical departments, hours of operation, and language support status of local hospitals. For example, the collection unit can collect information by acquiring from a database or using web scraping technology. For example, the collection unit can acquire the location of local hospitals from a database, and collect the medical departments, hours of operation, and language support status using web scraping technology. This allows travelers to acquire detailed information about local medical institutions.

[0035] The providing unit can provide the information collected by the collecting unit to the traveler. The providing unit can provide the information through an application, for example. The providing unit can display the information collected by the collecting unit in the application, for example, to allow the traveler to easily access it. The providing unit can also estimate the traveler's emotions and adjust the display method of the information to be provided based on the estimated emotions. For example, when the traveler is feeling anxious, the providing unit provides a simple and highly visible display method. This allows the traveler to use the collected information on medical institutions and pharmacies.

[0036] The reservation unit can provide a function for a traveler to make reservations at medical institutions and pharmacies. The reservation unit can make reservations through an online reservation system or telephone reservations, for example. The reservation unit can enable a traveler to make reservations at medical institutions and pharmacies through an application, for example. The reservation unit can also estimate the emotions of a traveler and determine the priority of reservations based on the estimated emotions. For example, if a traveler is feeling anxious, the reservation unit can prioritize reservations that require emergency response. This allows a traveler to quickly make reservations at medical institutions and pharmacies.

[0037] The search unit can provide a function for locally searching for similar medicines to those used in the departure country. The search unit can provide a function for locally searching for similar medicines to those used in the departure country, for example. The search unit can, for example, input the name of a medicine used in the departure country by a traveler through an application, and search for similar medicines available locally. The search unit can also estimate the traveler's emotions and adjust the display method of the search results based on the estimated emotions. For example, if the traveler feels anxious, the search unit provides a simple and highly visible display method. This allows the traveler to obtain information on medicines that can be used locally.

[0038] The search unit can provide a function for searching for medicines that can be used within the scope of the Pharmaceutical Affairs Act of the departure country. The search unit, for example, provides a function for searching for medicines that can be used within the scope of the Pharmaceutical Affairs Act of the departure country. The search unit can, for example, allow a traveler to search for medicines that comply with the Pharmaceutical Affairs Act of the departure country through an application. The search unit can also estimate the traveler's emotions and adjust the display method of the search results based on the estimated emotions. For example, if the traveler is feeling anxious, the search unit provides a simple and highly visible display method. This allows the traveler to obtain medicines that comply with the Pharmaceutical Affairs Act of the departure country locally.

[0039] At the time of collection, the collection unit can analyze past evaluations or reviews of local medical institutions and preferentially collect highly reliable information. The collection unit, for example, analyzes past patient reviews of medical institutions and preferentially collects information of highly rated medical institutions. The collection unit, for example, can analyze past medical treatment records of medical institutions and preferentially collect information of highly reliable medical institutions. The collection unit can also analyze information on past troubles and complaints of medical institutions and preferentially collect information of medical institutions with fewer problems. This makes it possible to preferentially collect highly reliable medical institution information.

[0040] At the time of collection, the collection unit can collect the latest equipment and technology information of local medical institutions and provide it to travelers. The collection unit can, for example, collect the latest medical equipment and technology information of medical institutions and provide it to travelers. The collection unit can, for example, collect information on the latest treatment methods and medical techniques of medical institutions and provide it to travelers. The collection unit can also collect the latest research results and clinical trial information of medical institutions and provide it to travelers. This makes it possible to provide travelers with the latest medical equipment and technology information.

[0041] At the time of collection, the collection unit collects information on specialists at local medical institutions, and can prioritize collection of medical institutions that can handle specific diseases or symptoms. The collection unit, for example, collects information on the medical departments and specialties of specialists, and prioritize collection of medical institutions that can handle specific diseases or symptoms. The collection unit, for example, collects information on the medical record and evaluation of specialists, and can prioritize collection of highly reliable medical institutions. The collection unit can also collect information on the consultation hours and reservation status of specialists, and prioritize collection of medical institutions that can respond quickly. This makes it possible to prioritize collection of medical institution information that can handle specific diseases or symptoms.

[0042] The collection unit can evaluate the emergency response capabilities of local medical institutions at the time of collection, and prioritize collection of medical institutions that can respond quickly in an emergency. The collection unit, for example, collects information on the emergency response capabilities of medical institutions, and prioritize collection of medical institutions that can respond quickly in an emergency. The collection unit can collect, for example, information on the medical institutions' emergency response equipment and staff, and prioritize collection of highly reliable medical institutions. The collection unit can also collect information on the medical institutions' past emergency response records, and prioritize collection of medical institutions that can respond quickly. This makes it possible to prioritize collection of information on medical institutions that can respond quickly in an emergency.

[0043] When providing information, the providing unit can refer to the traveler's past medical history and provide highly relevant information preferentially. The providing unit can, for example, refer to the traveler's past medical history and provide information of highly relevant medical institutions preferentially. The providing unit can, for example, refer to the traveler's past medication history and provide information of highly relevant pharmacies preferentially. The providing unit can also refer to the traveler's past health condition and provide highly relevant medical information preferentially. This makes it possible to provide highly relevant information based on the traveler's past medical history.

[0044] The providing unit can provide information in multiple languages ​​based on the traveler's language settings at the time of providing. The providing unit can automatically translate and provide medical information based on, for example, the language settings of the traveler's device. The providing unit can provide a language switching function, for example, when the traveler uses multiple languages. Furthermore, when the traveler selects a specific language, the providing unit can also provide medical information in that language. This allows information to be provided in multiple languages ​​according to the traveler's language settings.

[0045] At the time of providing the information, the providing unit can refer to the traveler's current location information and provide information on the nearest medical institution or pharmacy with priority. The providing unit can provide information on the nearest medical institution based on, for example, the traveler's current location. The providing unit can provide information on the nearest pharmacy based on, for example, the traveler's current location. The providing unit can also provide information on medical institutions that can respond quickly in the event of an emergency based on the traveler's current location. This makes it possible to provide information on the nearest medical institution or pharmacy based on the traveler's current location.

[0046] At the time of provision, the providing unit can provide information regarding vaccinations and health management based on the traveler's health condition. The providing unit provides necessary vaccination information based on, for example, the traveler's health condition. The providing unit can provide information regarding health management based on, for example, the traveler's health condition. The providing unit can also provide information regarding local health risks based on the traveler's health condition. This makes it possible to provide appropriate vaccination and health management information according to the traveler's health condition.

[0047] When making a reservation, the reservation unit can suggest an appropriate reservation method by referring to the traveler's past reservation history. The reservation unit can, for example, suggest the optimal reservation method by referring to the traveler's past reservation history. The reservation unit can, for example, suggest a reservation method that avoids congestion, based on the traveler's past reservation history. The reservation unit can also analyze the traveler's past reservation history and suggest the most efficient reservation method. This makes it possible to suggest the optimal reservation method based on the traveler's past reservation history.

[0048] The reservation unit can check the availability of medical institutions in real time at the time of making a reservation and quickly confirm the reservation. The reservation unit can, for example, check the availability of medical institutions in real time and quickly confirm the reservation. The reservation unit can, for example, update the reservation status of medical institutions in real time and suggest the optimal reservation time. The reservation unit can also confirm a reservation that allows for a quick response in the event of an emergency, based on the availability of medical institutions. In this way, by checking the availability of medical institutions in real time, reservations can be quickly confirmed.

[0049] At the time of making a reservation, the reservation unit can suggest an appropriate reservation date and time by referring to the traveler's schedule. The reservation unit, for example, can suggest the optimal reservation date and time by referring to the traveler's schedule. The reservation unit can, for example, suggest a reservation date and time that avoids congestion, based on the traveler's schedule. The reservation unit can also suggest the most efficient reservation date and time based on the traveler's schedule. This makes it possible to suggest the optimal reservation date and time based on the traveler's schedule.

[0050] When making a reservation, the reservation unit can refer to the traveler's insurance information and give priority to reserving medical institutions that are applicable to the insurance. The reservation unit, for example, refers to the traveler's insurance information and gives priority to reserving medical institutions that are applicable to the insurance. The reservation unit can, for example, suggest the most suitable medical institution based on the traveler's insurance information. The reservation unit can also refer to the traveler's insurance information and make the most suitable reservation within the scope of insurance coverage. This allows priority to be given to reserving medical institutions that are applicable to the insurance based on the traveler's insurance information.

[0051] During a search, the search unit can refer to the traveler's past drug use history and preferentially display highly relevant drug information. The search unit can, for example, refer to the traveler's past drug use history and preferentially display highly relevant drug information. The search unit can, for example, preferentially display information on similar drugs based on the traveler's past drug use history. The search unit can also analyze the traveler's past drug use history and preferentially display the most appropriate drug information. This makes it possible to provide highly relevant drug information based on the traveler's past drug use history.

[0052] During the search, the search unit can analyze the ingredient information of the local drug in detail and evaluate the safety by comparing it with the drug in the departure country. The search unit can, for example, analyze the ingredient information of the local drug in detail and evaluate the safety by comparing it with the drug in the departure country. The search unit can, for example, suggest a drug that has the same effect as the drug in the departure country based on the ingredient information of the local drug. The search unit can also analyze the ingredient information of the local drug and suggest a drug that complies with the pharmaceutical affairs law of the departure country. This makes it possible to analyze the ingredient information of the local drug in detail and evaluate the safety.

[0053] During a search, the search unit can refer to the traveler's allergy information and preferentially display medicines that do not cause allergic reactions. The search unit can, for example, refer to the traveler's allergy information and preferentially display medicines that do not cause allergic reactions. The search unit can, for example, suggest medicines that do not contain allergenic ingredients based on the traveler's allergy information. The search unit can also analyze the traveler's allergy information and preferentially display the safest medicines. This makes it possible to provide safe medicine information based on the traveler's allergy information.

[0054] During the search, the search unit can provide drug information related to vaccinations and health management based on the traveler's health condition. The search unit can provide necessary vaccination information based on, for example, the traveler's health condition. The search unit can provide drug information related to health management based on, for example, the traveler's health condition. The search unit can also provide drug information related to local health risks based on the traveler's health condition. This makes it possible to provide appropriate drug information according to the traveler's health condition.

[0055] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0056] The medical support system may further include a vaccination unit. The vaccination unit provides travelers with vaccination information necessary for their destination. For example, the vaccination unit may provide information on the types of vaccinations required when traveling to a specific region and where to get them. The vaccination unit may also refer to a traveler's past vaccination history and remind the traveler of any vaccinations that have not yet been administered. This allows the traveler to receive the necessary vaccinations before traveling, thereby reducing health risks.

[0057] The medical support system may further include a health check unit. The health check unit provides a tool for the traveler to perform a self-diagnosis. For example, by answering simple questions, the current health condition can be evaluated and information on necessary medical institutions can be provided. The health check unit can also refer to the traveler's past health data and monitor changes in health condition. This allows the traveler to understand his or her own health condition and use an appropriate medical institution.

[0058] The medical support system may further include a medical consultation section. The medical consultation section provides a function that allows travelers to consult with medical professionals online. For example, if a traveler feels unwell while traveling, he or she can consult with a doctor through the medical consultation section and receive appropriate advice. The medical consultation section may also refer to the traveler's past medical history to provide more accurate advice. This allows travelers to quickly and easily seek medical advice while traveling.

[0059] The medical support system may further include a health information unit. The health information unit provides health risk information for the area where the traveler is staying. For example, the health information unit may provide information on infectious diseases and health risks prevalent in a particular area. The health information unit may also provide individually customized health advice based on the traveler's health condition and length of stay. This allows the traveler to understand the health risks at the travel destination and take appropriate measures.

[0060] The medical support system may further include a medical institution evaluation unit. The medical institution evaluation unit collects evaluations of medical institutions used by travelers and provides them to other travelers. For example, travelers may input evaluations of the medical treatment and response of hospitals they used. The medical institution evaluation unit may also refer to the traveler's past evaluation history and preferentially display reliable medical institutions. This provides other travelers with reference information when selecting a reliable medical institution.

[0061] The process flow of the first embodiment will be briefly described below.

[0062] Step 1: The collection unit collects information on local medical institutions and pharmacies. For example, information such as the location, medical departments, opening hours, and language support status of local hospitals is collected. The collection unit can collect information from databases or by using web scraping technology. The collection unit can also analyze the ratings and reviews of local medical institutions and prioritize the collection of reliable information. Step 2: The providing unit provides the information collected by the collecting unit to the traveler. For example, the information can be provided through an application. The providing unit can also estimate the traveler's emotions and adjust the display method of the information to be provided based on the estimated emotions. For example, if the traveler is feeling anxious, a simple and highly visible display method is provided. Step 3: The reservation unit makes a reservation at a medical institution or pharmacy based on the information provided by the provision unit. For example, the reservation can be made through an online reservation system or a telephone reservation. The reservation unit can also estimate the traveler's emotions and prioritize reservations based on the estimated emotions. For example, if the traveler is feeling anxious, reservations that require urgent response will be prioritized. Step 4: The search unit searches for drug information within the scope of the pharmaceutical laws of the departure country. For example, it provides a function to search for local drugs similar to those used in the departure country. The search unit can also estimate the traveler's emotions and adjust the way in which search results are displayed based on the estimated emotions. For example, if the traveler is feeling anxious, it provides a simple and highly visible display method.

[0063] (Example 2) A medical support system according to an embodiment of the present invention is a system that allows a traveler to quickly and accurately obtain medical information locally when traveling abroad. This medical support system provides information on hospitals and drug stores in the area where the traveler is staying. For example, detailed information such as the location of the hospital, medical department, consultation hours, and language support status is provided. In addition, a function is also provided that allows the traveler to make a reservation at the hospital or drug store. This allows the traveler to use a medical institution quickly even in an emergency. Next, information on medicines that the traveler can obtain locally is provided. For example, information that is useful when searching locally for similar medicines to those used in the departure country is provided. In addition, a function is also provided to search for medicines that can be used within the scope of the pharmaceutical affairs law of the departure country. This allows the traveler to obtain appropriate medicines locally. This system is an important support tool for travelers to enjoy overseas travel with peace of mind. For example, information on hospitals and drug stores in the area where the traveler is staying is provided. For example, detailed information such as the location of the hospital, medical department, consultation hours, and language support status is provided. In addition, a function is also provided that allows the traveler to make a reservation at the hospital or drug store. This allows the traveler to use a medical institution quickly even in an emergency. Next, information on medicines that the traveler can obtain locally is provided. For example, it provides information that is useful when searching for similar medicines to those used in the departure country. In addition, it also provides a function to search for medicines that can be used within the scope of the pharmaceutical laws of the departure country. This allows travelers to obtain appropriate medicines locally. This system will be an important support tool for travelers to enjoy overseas travel with peace of mind. As a result, the medical support system will enable travelers to quickly and accurately obtain medical information locally and use appropriate medical institutions and pharmacies.

[0064] The medical support system according to the embodiment includes a collection unit, a provision unit, a reservation unit, and a search unit. The collection unit collects information on local medical institutions and pharmacies. The collection unit collects information such as the location, medical department, consultation hours, and language support status of local hospitals. For example, the collection unit can collect information by acquiring information from a database or using web scraping technology. The collection unit can also analyze the evaluations and reviews of local medical institutions and preferentially collect reliable information. For example, the collection unit analyzes past patient reviews of medical institutions and preferentially collects information on medical institutions with high evaluations. The provision unit provides the information collected by the collection unit to the traveler. The provision unit can provide the information through, for example, an application. The provision unit can also estimate the traveler's emotions and adjust the display method of the information to be provided based on the estimated emotions. For example, when the traveler feels anxious, the provision unit provides a simple and highly visible display method. The reservation unit makes a reservation at the medical institution or pharmacy based on the information provided by the provision unit. The reservation unit can make a reservation through, for example, an online reservation system or a telephone reservation. The reservation unit can also estimate the traveler's emotions and determine the priority of reservations based on the estimated emotions. For example, if the traveler feels anxious, the reservation unit prioritizes reservations that require emergency response. The search unit searches for drug information within the scope of the pharmaceutical affairs law of the departure country. The search unit provides, for example, a function of searching for similar drugs to those used in the departure country locally. The search unit can also estimate the traveler's emotions and adjust the display method of the search results based on the estimated emotions. For example, if the traveler feels anxious, the search unit provides a simple and highly visible display method. This allows the medical support system according to the embodiment to allow the traveler to quickly and accurately obtain medical information locally and use appropriate medical institutions and pharmacies. Some or all of the above-mentioned processes in the collection unit, provision unit, reservation unit, and search unit may be performed using, for example, AI, or may be performed without using AI. For example, the collection unit can automatically collect information using AI when collecting information on local medical institutions. The provision unit can adjust the display method of information using AI when providing the collected information to the traveler.The reservation department can use AI to prioritize reservations when making reservations at medical institutions or pharmacies. The search department can use AI to adjust how search results are displayed when searching for drug information.

[0065] The collection unit collects information on local medical institutions and pharmacies. The collection unit collects information such as the location, medical departments, consultation hours, and language support status of local hospitals. Specifically, the collection unit can collect information by acquiring information from a database or using web scraping technology. When acquiring information from a database, the official database provided by the local medical institution or the database of a public institution is used to acquire the latest and most accurate information. When using web scraping technology, the collection unit automatically extracts the necessary information from the official website or review site of the medical institution and stores it in the database. Furthermore, the collection unit can analyze the evaluations and reviews of the local medical institution and preferentially collect reliable information. For example, the collection unit analyzes the past patient reviews of the medical institution and preferentially collects information of medical institutions with high evaluations. This includes analyzing the contents of the reviews using natural language processing technology and classifying them into positive and negative evaluations. The collection unit can centrally manage this information and link it with other systems and departments as necessary. For example, the collected information is stored in a cloud server and made accessible to the provision department and reservation department. In addition, the collection unit can flexibly respond to specific situations and conditions by adjusting the frequency and accuracy of information collection, allowing the collection unit to collect data efficiently and effectively and improve the performance of the entire system.

[0066] The providing unit provides the information collected by the collecting unit to the traveler. The providing unit can provide the information through an application, for example. Specifically, the providing unit quickly provides the medical information required by the traveler through a smartphone application or a web application. The application has a user-friendly interface and is designed to allow the traveler to easily search and view information. Furthermore, the providing unit can estimate the traveler's emotions and adjust the display method of the information to be provided based on the estimated emotions. For example, if the traveler feels anxious, the providing unit provides a simple and highly visible display method. This includes highlighting important information and using colors and icons to make it visually easy to understand. In addition, the providing unit can provide information in multiple languages ​​according to the traveler's language settings. This allows the traveler to obtain information in his or her own native language and makes it easier to understand. The providing unit can update the collected information in real time and provide the latest information. For example, if the consultation hours or reservation status of a medical institution are changed, the providing unit immediately reflects this in the application and notifies the traveler. This allows the providing unit to assist the traveler in quickly and accurately obtaining medical information locally and using appropriate medical institutions and pharmacies.

[0067] The reservation unit makes reservations at medical institutions and pharmacies based on the information provided by the provision unit. The reservation unit can make reservations through, for example, an online reservation system or telephone reservation. Specifically, the reservation unit allows the traveler to select a desired medical institution or pharmacy through an application and complete the reservation procedure. In the online reservation system, the availability of medical institutions can be confirmed in real time and the reservation can be confirmed at the desired date and time. In addition, in the case of telephone reservations, the reservation unit can contact the medical institution on behalf of the traveler and complete the reservation procedure on their behalf. Furthermore, the reservation unit can estimate the traveler's emotions and determine the priority of reservations based on the estimated emotions. For example, if the traveler is feeling anxious, the reservation unit prioritizes reservations that require urgent response. This includes utilizing emotion analysis technology using AI to estimate emotions from the traveler's input and voice. The reservation unit provides an interface that allows easy procedures such as confirmation, change, and cancellation of reservations, improving the convenience of travelers. The reservation unit also has a function to track the status of reservations in real time and notify the traveler. In this way, the reservation unit supports travelers to smoothly use medical institutions and pharmacies, allowing them to enjoy their travels with peace of mind.

[0068] The search unit searches for drug information within the scope of the pharmaceutical affairs law of the departure country. For example, the search unit provides a function to search for similar drugs to those used in the departure country locally. Specifically, the search unit searches for and lists similar drugs available locally based on the ingredients and efficacy of the drugs used by the traveler. This includes a function to display only drugs that are legally available, taking into account the pharmaceutical affairs law and regulations of the departure country and the local country. The search unit can also estimate the traveler's emotions and adjust the display method of the search results based on the estimated emotions. For example, if the traveler feels anxious, the search unit provides a simple and highly visible display method. This includes highlighting important information and using colors and icons to make it visually easy to understand. In addition, the search unit provides detailed information, usage instructions, side effects, etc. of the drugs searched by the traveler to support appropriate use. The search unit can also use AI to analyze the traveler's search history and behavioral patterns and provide individually optimized search results. For example, based on information on drugs and medical institutions searched for in the past, related information is preferentially displayed. The search unit also checks the inventory status of local pharmacies in real time to help travelers obtain the medicines they need. This allows the search unit to support travelers in obtaining drug information quickly and accurately while on-site, helping them obtain the right medicines.

[0069] The collection unit can collect information on the location, medical departments, hours of operation, and language support status of local medical institutions. The collection unit can collect information such as the location, medical departments, hours of operation, and language support status of local hospitals. For example, the collection unit can collect information by acquiring from a database or using web scraping technology. For example, the collection unit can acquire the location of local hospitals from a database, and collect the medical departments, hours of operation, and language support status using web scraping technology. This allows travelers to acquire detailed information about local medical institutions.

[0070] The providing unit can provide the information collected by the collecting unit to the traveler. The providing unit can provide the information through an application, for example. The providing unit can display the information collected by the collecting unit in the application, for example, to allow the traveler to easily access it. The providing unit can also estimate the traveler's emotions and adjust the display method of the information to be provided based on the estimated emotions. For example, when the traveler is feeling anxious, the providing unit provides a simple and highly visible display method. This allows the traveler to use the collected information on medical institutions and pharmacies.

[0071] The reservation unit can provide a function for a traveler to make reservations at medical institutions and pharmacies. The reservation unit can make reservations through an online reservation system or telephone reservations, for example. The reservation unit can enable a traveler to make reservations at medical institutions and pharmacies through an application, for example. The reservation unit can also estimate the emotions of a traveler and determine the priority of reservations based on the estimated emotions. For example, if a traveler is feeling anxious, the reservation unit can prioritize reservations that require emergency response. This allows a traveler to quickly make reservations at medical institutions and pharmacies.

[0072] The search unit can provide a function for locally searching for similar medicines to those used in the departure country. The search unit can provide a function for locally searching for similar medicines to those used in the departure country, for example. The search unit can, for example, input the name of a medicine used in the departure country by a traveler through an application, and search for similar medicines available locally. The search unit can also estimate the traveler's emotions and adjust the display method of the search results based on the estimated emotions. For example, if the traveler feels anxious, the search unit provides a simple and highly visible display method. This allows the traveler to obtain information on medicines that can be used locally.

[0073] The search unit can provide a function for searching for medicines that can be used within the scope of the Pharmaceutical Affairs Act of the departure country. The search unit, for example, provides a function for searching for medicines that can be used within the scope of the Pharmaceutical Affairs Act of the departure country. The search unit can, for example, allow a traveler to search for medicines that comply with the Pharmaceutical Affairs Act of the departure country through an application. The search unit can also estimate the traveler's emotions and adjust the display method of the search results based on the estimated emotions. For example, if the traveler is feeling anxious, the search unit provides a simple and highly visible display method. This allows the traveler to obtain medicines that comply with the Pharmaceutical Affairs Act of the departure country locally.

[0074] The collection unit can estimate the traveler's emotions and determine the priority of medical institution information to be collected based on the estimated traveler's emotions. For example, when the traveler feels anxious, the collection unit preferentially collects information on medical institutions that can respond to emergencies. For example, when the traveler is relaxed, the collection unit can preferentially collect information on general medical care and preventive medicine. In addition, when the traveler feels stressed, the collection unit can also preferentially collect information on medical institutions that provide psychiatric and counseling services. This makes it possible to preferentially collect appropriate medical institution information according to the traveler's emotions. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the collection unit may be performed using, for example, an AI, or may be performed without using an AI. For example, in order to estimate the traveler's emotions, the collection unit can input image data of the traveler taken by a camera to the generation AI and cause the generation AI to execute emotion estimation.

[0075] At the time of collection, the collection unit can analyze past evaluations or reviews of local medical institutions and preferentially collect highly reliable information. The collection unit, for example, analyzes past patient reviews of medical institutions and preferentially collects information of highly rated medical institutions. The collection unit, for example, can analyze past medical treatment records of medical institutions and preferentially collect information of highly reliable medical institutions. The collection unit can also analyze information on past troubles and complaints of medical institutions and preferentially collect information of medical institutions with fewer problems. This makes it possible to preferentially collect highly reliable medical institution information.

[0076] At the time of collection, the collection unit can collect the latest equipment and technology information of local medical institutions and provide it to travelers. The collection unit can, for example, collect the latest medical equipment and technology information of medical institutions and provide it to travelers. The collection unit can, for example, collect information on the latest treatment methods and medical techniques of medical institutions and provide it to travelers. The collection unit can also collect the latest research results and clinical trial information of medical institutions and provide it to travelers. This makes it possible to provide travelers with the latest medical equipment and technology information.

[0077] The collection unit can estimate the traveler's emotion and determine the priority of pharmacy information to be collected based on the estimated traveler's emotion. For example, when the traveler feels anxious, the collection unit can preferentially collect information on pharmacies that are open 24 hours a day. For example, when the traveler feels relaxed, the collection unit can preferentially collect information on general pharmacies. In addition, when the traveler feels stressed, the collection unit can also preferentially collect information on pharmacies that provide counseling services. This makes it possible to preferentially collect appropriate pharmacy information according to the traveler's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the collection unit may be performed using, for example, an AI, or may be performed without using an AI. For example, in order to estimate the traveler's emotion, the collection unit can input image data of the traveler taken by a camera to the generation AI and cause the generation AI to execute emotion estimation.

[0078] At the time of collection, the collection unit collects information on specialists at local medical institutions, and can prioritize collection of medical institutions that can handle specific diseases or symptoms. The collection unit, for example, collects information on the medical departments and specialties of specialists, and prioritize collection of medical institutions that can handle specific diseases or symptoms. The collection unit, for example, collects information on the medical record and evaluation of specialists, and can prioritize collection of highly reliable medical institutions. The collection unit can also collect information on the consultation hours and reservation status of specialists, and prioritize collection of medical institutions that can respond quickly. This makes it possible to prioritize collection of medical institution information that can handle specific diseases or symptoms.

[0079] The collection unit can evaluate the emergency response capabilities of local medical institutions at the time of collection, and prioritize collection of medical institutions that can respond quickly in an emergency. The collection unit, for example, collects information on the emergency response capabilities of medical institutions, and prioritize collection of medical institutions that can respond quickly in an emergency. The collection unit can collect, for example, information on the medical institutions' emergency response equipment and staff, and prioritize collection of highly reliable medical institutions. The collection unit can also collect information on the medical institutions' past emergency response records, and prioritize collection of medical institutions that can respond quickly. This makes it possible to prioritize collection of information on medical institutions that can respond quickly in an emergency.

[0080] The providing unit can estimate the traveler's emotion and adjust the display method of the information to be provided based on the estimated traveler's emotion. For example, when the traveler is feeling anxious, the providing unit can provide a display method that is simple and highly visible. For example, when the traveler is relaxed, the providing unit can provide a display method that includes detailed information. In addition, when the traveler is feeling stressed, the providing unit can also provide a display method with a visually calming design. This makes it possible to provide an appropriate information display method according to the traveler's emotion. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the providing unit may be performed using, for example, an AI, or may be performed without using an AI. For example, in order to estimate the traveler's emotion, the providing unit can input image data of the traveler taken by a camera to the generation AI and cause the generation AI to execute emotion estimation.

[0081] When providing information, the providing unit can refer to the traveler's past medical history and provide highly relevant information preferentially. The providing unit can, for example, refer to the traveler's past medical history and provide information of highly relevant medical institutions preferentially. The providing unit can, for example, refer to the traveler's past medication history and provide information of highly relevant pharmacies preferentially. The providing unit can also refer to the traveler's past health condition and provide highly relevant medical information preferentially. This makes it possible to provide highly relevant information based on the traveler's past medical history.

[0082] The providing unit can provide information in multiple languages ​​based on the traveler's language settings at the time of providing. The providing unit can automatically translate and provide medical information based on, for example, the language settings of the traveler's device. The providing unit can provide a language switching function, for example, when the traveler uses multiple languages. Furthermore, when the traveler selects a specific language, the providing unit can also provide medical information in that language. This allows information to be provided in multiple languages ​​according to the traveler's language settings.

[0083] The providing unit can estimate the traveler's emotions and adjust the display method of the provided drug information based on the estimated traveler's emotions. For example, when the traveler is feeling anxious, the providing unit can provide a display method that is simple and highly visible. For example, when the traveler is feeling relaxed, the providing unit can provide a display method that includes detailed drug information. In addition, when the traveler is feeling stressed, the providing unit can also provide a display method with a visually calming design. This makes it possible to provide an appropriate drug information display method according to the traveler's emotions. The estimation of emotions is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the providing unit may be performed using, for example, an AI, or may be performed without using an AI. For example, in order to estimate the traveler's emotions, the providing unit can input image data of the traveler taken by a camera to the generation AI and cause the generation AI to execute emotion estimation.

[0084] At the time of providing the information, the providing unit can refer to the traveler's current location information and provide information on the nearest medical institution or pharmacy with priority. The providing unit can provide information on the nearest medical institution based on, for example, the traveler's current location. The providing unit can provide information on the nearest pharmacy based on, for example, the traveler's current location. The providing unit can also provide information on medical institutions that can respond quickly in the event of an emergency based on the traveler's current location. This makes it possible to provide information on the nearest medical institution or pharmacy based on the traveler's current location.

[0085] At the time of provision, the providing unit can provide information regarding vaccinations and health management based on the traveler's health condition. The providing unit provides necessary vaccination information based on, for example, the traveler's health condition. The providing unit can provide information regarding health management based on, for example, the traveler's health condition. The providing unit can also provide information regarding local health risks based on the traveler's health condition. This makes it possible to provide appropriate vaccination and health management information according to the traveler's health condition.

[0086] The reservation unit can estimate the emotion of the traveler and determine the priority of the reservation based on the estimated emotion of the traveler. For example, if the traveler feels anxious, the reservation unit can prioritize reservations that require emergency response. For example, if the traveler feels relaxed, the reservation unit can prioritize reservations for general medical treatment. In addition, if the traveler feels stressed, the reservation unit can also prioritize reservations for psychiatry or counseling. This makes it possible to determine appropriate reservation priorities according to the emotion of the traveler. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the reservation unit may be performed using, for example, an AI, or may be performed without using an AI. For example, in order to estimate the emotion of the traveler, the reservation unit can input image data of the traveler taken by a camera to the generation AI and cause the generation AI to execute emotion estimation.

[0087] When making a reservation, the reservation unit can suggest an appropriate reservation method by referring to the traveler's past reservation history. The reservation unit can, for example, suggest the optimal reservation method by referring to the traveler's past reservation history. The reservation unit can, for example, suggest a reservation method that avoids congestion, based on the traveler's past reservation history. The reservation unit can also analyze the traveler's past reservation history and suggest the most efficient reservation method. This makes it possible to suggest the optimal reservation method based on the traveler's past reservation history.

[0088] The reservation unit can check the availability of medical institutions in real time at the time of making a reservation and quickly confirm the reservation. The reservation unit can, for example, check the availability of medical institutions in real time and quickly confirm the reservation. The reservation unit can, for example, update the reservation status of medical institutions in real time and suggest the optimal reservation time. The reservation unit can also confirm a reservation that allows for a quick response in the event of an emergency, based on the availability of medical institutions. In this way, by checking the availability of medical institutions in real time, reservations can be quickly confirmed.

[0089] The reservation unit can estimate the traveler's emotions and adjust the reservation confirmation method based on the estimated traveler's emotions. For example, when the traveler is feeling anxious, the reservation unit provides a simple and highly visible confirmation method. For example, when the traveler is feeling relaxed, the reservation unit can provide a confirmation method including detailed information. In addition, when the traveler is feeling stressed, the reservation unit can also provide a confirmation method with a visually calming design. This makes it possible to provide an appropriate reservation confirmation method according to the traveler's emotions. The emotion estimation is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the reservation unit may be performed using, for example, an AI, or may be performed without using an AI. For example, in order to estimate the traveler's emotions, the reservation unit can input image data of the traveler taken by a camera to the generation AI and cause the generation AI to execute emotion estimation.

[0090] At the time of making a reservation, the reservation unit can suggest an appropriate reservation date and time by referring to the traveler's schedule. The reservation unit, for example, can suggest the optimal reservation date and time by referring to the traveler's schedule. The reservation unit can, for example, suggest a reservation date and time that avoids congestion, based on the traveler's schedule. The reservation unit can also suggest the most efficient reservation date and time based on the traveler's schedule. This makes it possible to suggest the optimal reservation date and time based on the traveler's schedule.

[0091] When making a reservation, the reservation unit can refer to the traveler's insurance information and give priority to reserving medical institutions that are applicable to the insurance. The reservation unit, for example, refers to the traveler's insurance information and gives priority to reserving medical institutions that are applicable to the insurance. The reservation unit can, for example, suggest the most suitable medical institution based on the traveler's insurance information. The reservation unit can also refer to the traveler's insurance information and make the most suitable reservation within the scope of insurance coverage. This allows priority to be given to reserving medical institutions that are applicable to the insurance based on the traveler's insurance information.

[0092] The search unit can estimate the traveler's emotions and adjust the display method of the search results based on the estimated traveler's emotions. For example, when the traveler is feeling anxious, the search unit provides a simple and highly visible display method. For example, when the traveler is feeling relaxed, the search unit can provide a display method including detailed information. In addition, when the traveler is feeling stressed, the search unit can also provide a display method with a visually calming design. This makes it possible to provide an appropriate search result display method according to the traveler's emotions. The estimation of emotions is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the search unit may be performed using, for example, an AI, or may be performed without using an AI. For example, in order to estimate the traveler's emotions, the search unit can input image data of the traveler taken by a camera to the generation AI and cause the generation AI to execute emotion estimation.

[0093] During a search, the search unit can refer to the traveler's past drug use history and preferentially display highly relevant drug information. The search unit can, for example, refer to the traveler's past drug use history and preferentially display highly relevant drug information. The search unit can, for example, preferentially display information on similar drugs based on the traveler's past drug use history. The search unit can also analyze the traveler's past drug use history and preferentially display the most appropriate drug information. This makes it possible to provide highly relevant drug information based on the traveler's past drug use history.

[0094] During the search, the search unit can analyze the ingredient information of the local drug in detail and evaluate the safety by comparing it with the drug in the departure country. The search unit can, for example, analyze the ingredient information of the local drug in detail and evaluate the safety by comparing it with the drug in the departure country. The search unit can, for example, suggest a drug that has the same effect as the drug in the departure country based on the ingredient information of the local drug. The search unit can also analyze the ingredient information of the local drug and suggest a drug that complies with the pharmaceutical affairs law of the departure country. This makes it possible to analyze the ingredient information of the local drug in detail and evaluate the safety.

[0095] The search unit can estimate the traveler's emotions and determine the priority of search results based on the estimated traveler's emotions. For example, when the traveler feels anxious, the search unit preferentially displays information on medicines that require emergency treatment. For example, when the traveler feels relaxed, the search unit can preferentially display general medicine information. In addition, when the traveler feels stressed, the search unit can also preferentially display information on medicines that have a tranquilizer or relaxing effect. This makes it possible to determine the priority of appropriate search results according to the traveler's emotions. The estimation of emotions is realized using an emotion estimation function using, for example, an emotion engine or a generation AI. The generation AI is, for example, a text generation AI (for example, LLM) or a multimodal generation AI, but is not limited to such examples. A part or all of the above-mentioned processing in the search unit may be performed using, for example, an AI, or may be performed without using an AI. For example, in order to estimate the traveler's emotions, the search unit can input image data of the traveler taken by a camera to the generation AI and cause the generation AI to execute emotion estimation.

[0096] During a search, the search unit can refer to the traveler's allergy information and preferentially display medicines that do not cause allergic reactions. The search unit can, for example, refer to the traveler's allergy information and preferentially display medicines that do not cause allergic reactions. The search unit can, for example, suggest medicines that do not contain allergenic ingredients based on the traveler's allergy information. The search unit can also analyze the traveler's allergy information and preferentially display the safest medicines. This makes it possible to provide safe medicine information based on the traveler's allergy information.

[0097] During the search, the search unit can provide drug information related to vaccinations and health management based on the traveler's health condition. The search unit can provide necessary vaccination information based on, for example, the traveler's health condition. The search unit can provide drug information related to health management based on, for example, the traveler's health condition. The search unit can also provide drug information related to local health risks based on the traveler's health condition. This makes it possible to provide appropriate drug information according to the traveler's health condition.

[0098] The system according to the embodiment is not limited to the above-described example, and various modifications are possible, for example, as follows.

[0099] The medical support system may further include a translation unit. The translation unit translates the medical information collected by the collection unit into the traveler's native language. For example, information on hospital medical departments and drug ingredients may be automatically translated and provided in a form that is easy for the traveler to understand. The translation unit may also provide a simple phrasebook for the traveler to use at medical institutions. This allows the traveler to use local medical institutions without feeling a language barrier. Furthermore, the translation unit may estimate the traveler's emotions and adjust the accuracy of the translation and expressions based on the estimated emotions. For example, if the traveler is feeling anxious, more polite and reassuring expressions may be used.

[0100] The medical support system may further include a notification unit. The notification unit notifies the traveler of medical information and reservation information in real time based on conditions set by the traveler. For example, if the traveler sets the consultation hours of a specific hospital, a notification can be sent when the consultation hours of the hospital change. The notification unit can also estimate the traveler's emotions and adjust the content and timing of the notification based on the estimated emotions. For example, if the traveler is feeling stressed, only important information can be notified and unnecessary notifications can be refrained from. This allows the traveler to receive the necessary information at the appropriate time.

[0101] The medical support system may further include a feedback unit. The feedback unit collects evaluations and reviews of medical institutions and pharmacies used by travelers and provides them to other travelers. For example, the traveler may input an evaluation of the medical treatment and response of the hospital used by the traveler. The feedback unit may also estimate the traveler's emotions and adjust the method of collecting feedback based on the estimated emotions. For example, if the traveler is satisfied, detailed feedback may be requested, but if the traveler is dissatisfied, only a simple evaluation may be requested. This allows other travelers to obtain reliable information.

[0102] The medical support system may further include a health management unit. The health management unit monitors the traveler's health condition and provides appropriate medical information and advice. For example, if the traveler has a chronic illness, it may provide the traveler with management methods and precautions. The health management unit may also estimate the traveler's emotions and adjust health management advice based on the estimated emotions. For example, if the traveler is feeling anxious, it may provide the traveler with advice that provides a sense of security. This allows the traveler to enjoy their trip with peace of mind while maintaining their health.

[0103] The medical support system may further include an emergency contact section. The emergency contact section provides a function for a traveler to quickly contact in an emergency. For example, if a traveler encounters an emergency, the traveler can contact a local emergency service or an embassy through the emergency contact section. The emergency contact section may also estimate the traveler's emotions and adjust the method of emergency contact based on the estimated emotions. For example, if the traveler is in a state of panic, a simple and intuitive operation method may be provided. This allows the traveler to respond quickly and appropriately in an emergency.

[0104] The medical support system may further include a vaccination unit. The vaccination unit provides travelers with vaccination information necessary for their destination. For example, the vaccination unit may provide information on the types of vaccinations required when traveling to a specific region and where to get them. The vaccination unit may also refer to a traveler's past vaccination history and remind the traveler of any vaccinations that have not yet been administered. This allows the traveler to receive the necessary vaccinations before traveling, thereby reducing health risks.

[0105] The medical support system may further include a health check unit. The health check unit provides a tool for the traveler to perform a self-diagnosis. For example, by answering simple questions, the current health condition can be evaluated and information on necessary medical institutions can be provided. The health check unit can also refer to the traveler's past health data and monitor changes in health condition. This allows the traveler to understand his or her own health condition and use an appropriate medical institution.

[0106] The medical support system may further include a medical consultation section. The medical consultation section provides a function that allows travelers to consult with medical professionals online. For example, if a traveler feels unwell while traveling, he or she can consult with a doctor through the medical consultation section and receive appropriate advice. The medical consultation section may also refer to the traveler's past medical history to provide more accurate advice. This allows travelers to quickly and easily seek medical advice while traveling.

[0107] The medical support system may further include a health information unit. The health information unit provides health risk information for the area where the traveler is staying. For example, the health information unit may provide information on infectious diseases and health risks prevalent in a particular area. The health information unit may also provide individually customized health advice based on the traveler's health condition and length of stay. This allows the traveler to understand the health risks at the travel destination and take appropriate measures.

[0108] The medical support system may further include a medical institution evaluation unit. The medical institution evaluation unit collects evaluations of medical institutions used by travelers and provides them to other travelers. For example, travelers may input evaluations of the medical treatment and response of hospitals they used. The medical institution evaluation unit may also refer to the traveler's past evaluation history and preferentially display reliable medical institutions. This provides other travelers with reference information when selecting a reliable medical institution.

[0109] The process flow of the second embodiment will be briefly described below.

[0110] Step 1: The collection unit collects information on local medical institutions and pharmacies. For example, information such as the location, medical departments, opening hours, and language support status of local hospitals is collected. The collection unit can collect information from databases or by using web scraping technology. The collection unit can also analyze the ratings and reviews of local medical institutions and prioritize the collection of reliable information. Step 2: The providing unit provides the information collected by the collecting unit to the traveler. For example, the information can be provided through an application. The providing unit can also estimate the traveler's emotions and adjust the display method of the information to be provided based on the estimated emotions. For example, if the traveler is feeling anxious, a simple and highly visible display method is provided. Step 3: The reservation unit makes a reservation at a medical institution or pharmacy based on the information provided by the provision unit. For example, the reservation can be made through an online reservation system or a telephone reservation. The reservation unit can also estimate the traveler's emotions and prioritize reservations based on the estimated emotions. For example, if the traveler is feeling anxious, reservations that require urgent response will be prioritized. Step 4: The search unit searches for drug information within the scope of the pharmaceutical laws of the departure country. For example, it provides a function to search for local drugs similar to those used in the departure country. The search unit can also estimate the traveler's emotions and adjust the way in which search results are displayed based on the estimated emotions. For example, if the traveler is feeling anxious, it provides a simple and highly visible display method.

[0111] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the voice 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 voice data.

[0112] The data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of the data generation model 58 is ChatGPT (registered trademark) (Internet search<URL: https: / / openai.com / blog / chatgpt> ) and other generation AIs. 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 a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) are input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while 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, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may also be an AI agent. In addition, when the processes of each of the above-mentioned parts are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples.In addition, processing performed by AI including the generation AI may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI including the generation AI.

[0113] Furthermore, the above-described processing by the data processing system 10 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 required for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information required for processing from the data processing device 12 or an external device.

[0114] Each of the multiple elements including the above-mentioned collection unit, provision unit, reservation unit, and search unit is realized, for example, by at least one of the smart device 14 and the data processing device 12. For example, the collection unit can collect information on local medical institutions and pharmacies by the control unit 46A of the smart device 14. The provision unit provides the traveler with information collected by, for example, the specific processing unit 290 of the data processing device 12. The reservation unit can make reservations at medical institutions and pharmacies by, for example, the control unit 46A of the smart device 14. The search unit can search for drug information by, for example, the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0115] [Second embodiment] FIG. 3 shows an example of the configuration of a data processing system 210 according to the second embodiment.

[0116] 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.

[0117] 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, the RAM 30, and the 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.

[0118] 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.

[0119] 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 the voice according to instructions from the processor 46.

[0120] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0121] 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 performed in a secure state.

[0122] Fig. 4 shows an example of 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.

[0123] 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.

[0124] 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 the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0125] In the smart glasses 214, the specific processing is performed by the processor 46. The storage 50 stores a specific processing program 60. 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 glasses 214 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 also perform processing similar to that of the specific processing unit 290 using these models.

[0126] 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 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0127] 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 a voice indicating a user input for the result of the specific processing. The control unit 46A transmits the 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.

[0128] 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. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while 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, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0129] 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 be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart glasses 214. In addition, 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, and the smart glasses 214 acquires or collects information required for processing from the data processing device 12 or an external device.

[0130] Each of the multiple elements including the above-mentioned collection unit, provision unit, reservation unit, and search unit is realized, for example, by at least one of the smart glasses 214 and the data processing device 12. For example, the collection unit can collect information on local medical institutions and pharmacies by the control unit 46A of the smart glasses 214. The provision unit provides the traveler with information collected, for example, by the specific processing unit 290 of the data processing device 12. The reservation unit can make reservations at medical institutions and pharmacies by the control unit 46A of the smart glasses 214. The search unit can search for drug information by the specific processing unit 290 of the data processing device 12, for example. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0131] [Third embodiment] FIG. 5 shows an example of the configuration of a data processing system 310 according to the third embodiment.

[0132] 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.

[0133] 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, the RAM 30, and the 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.

[0134] 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.

[0135] 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 the voice according to instructions from the processor 46.

[0136] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a 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 (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of an average healthy person).

[0137] 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 performed in a secure state.

[0138] 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.

[0139] 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.

[0140] 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 the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0141] In the headset type terminal 314, the specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads the specific program 60 from the storage 50, and executes the read specific 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 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 identification processing unit 290 using these models.

[0142] 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 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0143] 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 voice indicating a user input for 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.

[0144] 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. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while 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, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0145] 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 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. In addition, 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, and the headset type terminal 314 acquires or collects information required for processing from the data processing device 12 or an external device.

[0146] Each of the multiple elements including the above-mentioned collection unit, provision unit, reservation unit, and search unit is realized, for example, by at least one of the headset type terminal 314 and the data processing device 12. For example, the collection unit can collect information on local medical institutions and pharmacies by the control unit 46A of the headset type terminal 314. The provision unit provides the traveler with information collected by, for example, the specific processing unit 290 of the data processing device 12. The reservation unit can make reservations at medical institutions and pharmacies by, for example, the control unit 46A of the headset type terminal 314. The search unit can search for drug information by, for example, the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0147] [Fourth embodiment] FIG. 7 shows an example of the configuration of a data processing system 410 according to the fourth embodiment.

[0148] 7, a 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.

[0149] 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, the RAM 30, and the 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.

[0150] 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.

[0151] 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 the voice according to instructions from the processor 46.

[0152] Camera 42 is a small digital camera equipped with an optical system including a lens, an aperture, and a shutter, and an imaging element such as a CMOS image sensor or a CCD image sensor, and captures images of the user's surroundings (e.g., an imaging range defined by an angle of view equivalent to the width of the field of vision of a typical healthy person).

[0153] 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 performed in a secure state.

[0154] The control object 443 includes a display device, LEDs in the eyes, and motors for driving the arms, hands, and legs. The posture and behavior of the robot 414 are controlled by controlling the motors of the arms, hands, and legs. 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.

[0155] 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.

[0156] 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.

[0157] 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 the emotion of the user using the emotion identification model 59 and perform identification processing using the user's emotion. In the emotion estimation function (emotion identification function) using the emotion identification model 59, various estimations and predictions regarding the user's emotion, including estimation and prediction of the user's emotion, are performed, but are not limited to such examples. In addition, the estimation and prediction of the emotion also include, for example, analysis of the emotion.

[0158] In the robot 414, the specific processing is performed by the processor 46. The storage 50 stores a specific program 60. The processor 46 reads out the specific program 60 from the storage 50, and executes the specific 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 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.

[0159] 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 obtains a processing result (such as a prediction result) using the data generation model 58 by communicating with the server device having the data generation model 58. In addition, the data processing device 12 may be a server device, or may be a terminal device (such as a mobile phone, a robot, or a home appliance) owned by a user.

[0160] 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 a voice indicating a user input for 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.

[0161] 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. A prompt including an instruction is input to the data generation model 58, and inference data such as voice data indicating a voice, text data indicating a text, and image data indicating an image (e.g., still image data or video data) is input. The data generation model 58 infers the input inference data according to the instruction indicated by the prompt, and outputs the inference result in one or more data formats of voice data, text data, and image data. The data generation model 58 includes, for example, a text generation AI, an image generation AI, and a multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specification processing unit 290 performs the above-mentioned specification processing while 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, and in this case, the data generation model 58 can output an inference result from a prompt that does not include an instruction. In the data processing device 12 and the like, the data generation model 58 includes a plurality of types, and the data generation model 58 includes an AI other than the generation AI. The AI ​​other than the generation AI is, for example, a linear regression, a logistic regression, a decision tree, a random forest, a support vector machine (SVM), a k-means clustering, a convolutional neural network (CNN), a recurrent neural network (RNN), a generative adversarial network (GAN), or a naive Bayes, and can perform various processes, but is not limited to such examples. The AI ​​may be an AI agent. In addition, when the processes of each part described above are performed by an AI, the processes are performed in part or in whole by the AI, but are not limited to such examples. In addition, the processes performed by the AI ​​including the generation AI may be replaced with rule-based processes, and the rule-based processes may be replaced with processes performed by the AI ​​including the generation AI.

[0162] 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 be executed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the robot 414. In addition, 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.

[0163] Each of the multiple elements including the above-mentioned collection unit, provision unit, reservation unit, and search unit is realized, for example, by at least one of the robot 414 and the data processing device 12. For example, the collection unit can collect information on local medical institutions and pharmacies by the control unit 46A of the robot 414. The provision unit provides the traveler with information collected by, for example, the specific processing unit 290 of the data processing device 12. The reservation unit can make reservations at medical institutions and pharmacies by, for example, the control unit 46A of the robot 414. The search unit can search for drug information by, for example, the specific processing unit 290 of the data processing device 12. The correspondence between each unit and the device or control unit is not limited to the above-mentioned example, and various changes are possible.

[0164] The emotion identification model 59 as an emotion engine may determine the emotion of the user according to a specific mapping. Specifically, the emotion identification model 59 may determine the emotion of the user according to an emotion map (see FIG. 9), which is a specific mapping. Similarly, the emotion identification model 59 may determine the emotion of the robot, and the identification processing unit 290 may perform identification processing using the emotion of the robot.

[0165] FIG. 9 is a diagram showing 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. The closer to the center of the concentric circles, the more primitive emotions are arranged. The more outside the concentric circles, the more emotions that represent states and actions that arise from a state of mind are arranged. Emotions are a concept that includes emotions and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions that occur in the brain are arranged. On the right side of the concentric circles, emotions that are generally induced by situational judgment are arranged. On the upper and lower sides of the concentric circles, emotions that are generally generated from reactions that occur in the brain and are induced by situational judgment are arranged. In addition, on the upper side of the concentric circles, emotions of "pleasure" are arranged, and on the lower side, emotions of "discomfort" are arranged. In this way, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions are generated, and emotions that tend to occur simultaneously are mapped close to each other.

[0166] These emotions are distributed in the 3 o'clock direction of emotion map 400 and usually 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.

[0167] The inside of emotion map 400 represents what is going on inside one's mind, and the outside of emotion map 400 represents behavior, so the further out you go on emotion map 400, the more visible the emotions become (the more they are expressed in behavior).

[0168] Here, human emotions are based on various balances such as posture and blood sugar level, and when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. Emotions can also be created for robots, cars, motorcycles, etc., based on various balances such as posture and battery level, so that when these balances are far from the ideal, it indicates an unpleasant state, and when they are close to the ideal, it indicates a pleasant state. The emotion map may be generated, for example, based on the emotion map of Dr. Mitsuyoshi (Research on speech emotion recognition and emotion brain physiological signal analysis system, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). On the left half of the emotion map, emotions belonging to an area called "reaction" where sensation is dominant are lined up. On the right half of the emotion map, emotions belonging to an area called "situation" where situation recognition is dominant are lined up.

[0169] The emotion map defines two emotions that promote learning. The first is the negative emotion around the middle of "repentance" or "remorse" on the situation side. In other words, this is 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 the positive emotion around "desire" on the response side. In other words, this is when the robot has positive feelings such as "I want more" or "I want to know more."

[0170] The emotion identification model 59 inputs the user input to a pre-trained neural network, obtains emotion values ​​indicating each emotion shown in the emotion map 400, and determines the emotion of the user. This neural network is pre-trained based on multiple learning data that are combinations of the 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, "relief," "calm," and "encouraging," have similar emotion values.

[0171] 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.

[0172] 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 Universal Serial Bus (USB) 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.

[0173] In addition, 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 upon request from the data processing device 12.

[0174] 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.

[0175] As the hardware resource for executing the specific process, various processors as shown below can be used. An example of the processor is a CPU, which is a general-purpose processor that functions as a hardware resource for executing the specific process by executing software, i.e., a program. Another example of the processor is a dedicated electric circuit, which is a processor having a circuit configuration designed exclusively for executing a specific process, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Device (PLD), or an Application Specific Integrated Circuit (ASIC). Each processor has a built-in or connected memory, and each processor executes the specific process by using the memory.

[0176] The hardware resource that executes the specific process may be one of these various processors, or may be 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.

[0177] As an example of a configuration using one 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 configuration using a processor that realizes the functions of the 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.

[0178] Furthermore, more specifically, the hardware structure of these various processors can be an electric circuit that combines circuit elements such as semiconductor elements. The specific processes described above are merely examples. It goes without saying that unnecessary steps may be deleted, new steps may be added, or the order of processes may be changed without departing from the spirit of the invention.

[0179] In the above example, the first to fourth embodiments are described separately, but some or all of these embodiments may be combined. The smart device 14, the smart glasses 214, the headset terminal 314, and the robot 414 are only examples, and they may be combined with each other, or may be other devices. In the above example, the first and second embodiments are described separately, but they may be combined.

[0180] The above description and illustrations are detailed descriptions 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, function, action, and effect is an example of the configuration, function, action, and effect 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 replaced with respect to the description and illustrations shown above, within the scope of the gist of the technology of the present disclosure. In addition, in order to avoid confusion and to facilitate understanding of the parts related to the technology of the present disclosure, the description and illustrations shown above omit explanations of technical common sense that do not require particular explanation in enabling the implementation of the technology of the present disclosure.

[0181] All publications, patent applications, and standards mentioned in this specification are herein incorporated by reference to the same extent as if each individual publication, patent application, and standard was specifically and individually indicated to be incorporated by reference.

[0182] (Appendix 1) A collection department that collects information on local medical institutions and pharmacies; a providing unit that provides the information collected by the collecting unit to a traveler; a reservation unit that makes reservations at medical institutions and pharmacies based on the information provided by the provision unit; A search unit for searching drug information within the scope of the pharmaceutical affairs law of the departure country. A system characterized by: (Appendix 2) The collecting unit includes: Collect information on the location, medical specialties, opening hours, and language support of local medical institutions 2. The system of claim 1, (Appendix 3) The providing unit is Providing the information collected by the collection unit to travelers 2. The system of claim 1, (Appendix 4) The reservation unit: Providing travelers with the ability to make appointments with medical institutions and pharmacies 2. The system of claim 1, (Appendix 5) The search unit is Providing a function to search locally for similar drugs to those used in the departure country 2. The system of claim 1, (Appendix 6) The search unit is Provides a function to search for medicines that can be used within the scope of the pharmaceutical laws of the departure country 2. The system of claim 1, (Appendix 7) The collecting unit includes: Estimate traveler sentiment and prioritize medical information to be collected based on the estimated traveler sentiment 2. The system of claim 1, (Appendix 8) The collecting unit includes: At the time of collection, we analyze the past ratings or reviews of local medical facilities and prioritize collection of reliable information. 2. The system of claim 1, (Appendix 9) The collecting unit includes: At the time of collection, information on the latest equipment and technology of local medical institutions will be collected and provided to travelers. 2. The system of claim 1, (Appendix 10) The collecting unit includes: Estimate traveler sentiment and prioritize pharmacy information to be collected based on the estimated traveler sentiment. 2. The system of claim 1, (Appendix 11) The collecting unit includes: At the time of collection, information on specialists at local medical institutions will be collected, and medical institutions that can treat specific diseases or symptoms will be given priority. 2. The system of claim 1, (Appendix 12) The collecting unit includes: At the time of collection, the emergency response capabilities of local medical institutions will be evaluated, and priority will be given to medical institutions that can respond quickly in the event of an emergency. 2. The system of claim 1, (Appendix 13) The providing unit is Estimate traveler sentiment and tailor how information is presented based on the estimated traveler sentiment 2. The system of claim 1, (Appendix 14) The providing unit is At the time of provision, the traveller's past medical history is referenced to prioritise the provision of the most relevant information 2. The system of claim 1, (Appendix 15) The providing unit is When provided, information will be provided in multiple languages ​​based on the traveler's language settings 2. The system of claim 1, (Appendix 16) The providing unit is Estimate traveler sentiment and adjust the display of drug information based on the estimated traveler sentiment 2. The system of claim 1, (Appendix 17) The providing unit is When providing the service, the system will refer to the traveler's current location information and provide information on the nearest medical institutions and pharmacies with priority. 2. The system of claim 1, (Appendix 18) The providing unit is Provide vaccination and health care information based on the traveler's health status, when provided 2. The system of claim 1, (Appendix 19) The reservation unit: Estimate traveler sentiment and prioritize reservations based on estimated traveler sentiment 2. The system of claim 1, (Appendix 20) The reservation unit: When booking, look at a traveller's past booking history to suggest the right way to book 2. The system of claim 1, (Appendix 21) The reservation unit: When making a reservation, check the availability of medical institutions in real time and quickly confirm the reservation 2. The system of claim 1, (Appendix 22) The reservation unit: Estimate traveler sentiment and adjust booking confirmations based on estimated traveler sentiment 2. The system of claim 1, (Appendix 23) The reservation unit: When booking, use travellers' schedules to suggest suitable booking times 2. The system of claim 1, (Appendix 24) The reservation unit: When making a reservation, we will refer to the traveler's insurance information and prioritize reservations at medical institutions that accept the insurance. 2. The system of claim 1, (Appendix 25) The search unit is Estimate traveler sentiment and tailor how search results are displayed based on the estimated traveler sentiment 2. The system of claim 1, (Appendix 26) The search unit is When searching, the system references a traveler's past drug use history and prioritizes relevant drug information. 2. The system of claim 1, (Appendix 27) The search unit is During the search, the ingredients of local drugs are analyzed in detail and their safety is evaluated by comparing them with drugs in the country of departure. 2. The system of claim 1, (Appendix 28) The search unit is Estimating traveler sentiment and prioritizing search results based on estimated traveler sentiment 2. The system of claim 1, (Appendix 29) The search unit is When searching, the system references traveler's allergy information and prioritizes medicines that do not cause allergic reactions. 2. The system of claim 1, (Appendix 30) The search unit is Provide vaccination and healthcare medication information based on travellers' health status when searching 2. The system of claim 1, [Explanation of symbols]

[0183] 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 collection department that collects information on local medical institutions and pharmacies; a providing unit that provides the information collected by the collecting unit to a traveler; a reservation unit that makes reservations at medical institutions and pharmacies based on the information provided by the provision unit; A search unit for searching drug information within the scope of the pharmaceutical affairs law of the departure country. A system characterized by:

2. The collecting unit includes: Collect information on the location, medical specialties, opening hours, and language support of local medical institutions 2. The system of claim 1 .

3. The providing unit is Providing the information collected by the collection unit to travelers 2. The system of claim 1 .

4. The reservation unit: Providing travelers with the ability to make appointments with medical institutions and pharmacies 2. The system of claim 1 .

5. The search unit is Providing a function to search locally for similar drugs to those used in the departure country 2. The system of claim 1 .

6. The search unit is Provides a function to search for medicines that can be used within the scope of the pharmaceutical laws of the departure country 2. The system of claim 1 .

7. The collecting unit includes: Estimate traveler sentiment and prioritize medical information to be collected based on the estimated traveler sentiment 2. The system of claim 1 .

8. The collecting unit includes: At the time of collection, we analyze the past ratings or reviews of local medical facilities and prioritize collection of reliable information.

2. The system of claim 1 .

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