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 Art

[0002] Patent Document 1 discloses a method for controlling a persona chatbot, which is performed by at least one processor and includes steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a 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

Summary of the Invention

Problems to be Solved by the Invention

[0004] In the prior art, there was a problem that it was difficult to efficiently collect information on local medical institutions and pharmacies during overseas travel and use it appropriately.

[0005] The system according to the embodiment aims to efficiently collect information on local medical institutions and pharmacies during overseas travel and use it appropriately.

Means for Solving the Problems

[0006] The system according to this embodiment comprises 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 travelers. The reservation unit makes reservations for 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 laws of the country of departure. [Effects of the Invention]

[0007] The system according to this embodiment can efficiently collect and appropriately utilize information on local medical facilities and pharmacies when traveling abroad. [Brief explanation of the drawing]

[0008] [Figure 1] This is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] This is a conceptual diagram showing an example of the essential functions of a data processing device and a smart device according to the first embodiment. [Figure 3] This is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] This is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] This is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] This is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] This is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] This is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] This shows an emotion map where multiple emotions are mapped. [Figure 10] This shows an emotion map where multiple emotions are mapped. [Modes for carrying out the invention]

[0009] Hereinafter, an example of an embodiment of the system relating to the technology of this disclosure will be described with reference to the attached drawings.

[0010] First, let's explain the terminology used in the following explanation.

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

[0012] In the following embodiments, signed RAM (Random Access Memory) is a memory that temporarily stores information and is used as work memory by the processor.

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

[0014] In the following embodiments, the numbered communication I / F (Interface) is an interface including a communication processor, an antenna, and the like. The communication I / F manages communication between multiple computers. Examples of communication standards applied to the communication I / F include wireless communication standards such as 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". That is, "A and / or B" means that it may be only A, only B, or a combination of A and B. Also, in this specification, when expressing three or more matters connected by "and / or", the same concept as "A and / or B" is applied.

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

[0017] As shown in FIG. 1, the 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. Also, the database 24 and the communication I / F 26 are 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 comprises a computer 36, a receiving device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The receiving device 38, output device 40, and camera 42 are also connected to the bus 52.

[0020] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, and accepts user input. The touch panel 38A accepts user input via touch by detecting contact with an object (e.g., a pen or finger). The microphone 38B accepts user input via voice by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 (see Figure 2) acquires the data indicating the user input.

[0021] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user by outputting the data in a form perceptible to the user (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0022] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

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

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

[0025] Storage 32 stores the data generation model 58 and the 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 user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

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

[0027] Furthermore, other devices besides the data processing device 12 may also 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 processing results (such as prediction results) using the data generation model 58 by communicating with the server device having the data generation model 58. The data processing device 12 may also be a server device or a terminal device owned by a user (e.g., a mobile phone, robot, home appliance, etc.). Next, an example of processing by the data processing system 10 according to the first embodiment will be described.

[0028] (Example of form 1) The medical support system according to an embodiment of the present invention is a system that enables travelers to quickly and accurately obtain medical information locally when traveling abroad. This medical support system provides information on hospitals and drugstores in the area where the traveler is staying. For example, it provides detailed information such as the location of the hospital, medical departments, consultation hours, and language support. It also provides a function that allows travelers to make reservations at hospitals and drugstores. This enables travelers to quickly access medical facilities even in emergencies. Next, it provides information on medicines available locally. For example, it provides information that is useful when searching for similar medicines used in the country of departure. Furthermore, it provides a function that allows travelers to search for medicines that can be used within the scope of the pharmaceutical laws of the country of departure. This enables travelers to obtain appropriate medicines locally. This system is an important support tool for travelers to enjoy overseas travel with peace of mind. For example, it provides information on hospitals and drugstores in the area where the traveler is staying. For example, it provides detailed information such as the location of the hospital, medical departments, consultation hours, and language support. It also provides a function that allows travelers to make reservations at hospitals and drugstores. This enables travelers to quickly access medical facilities even in emergencies. Next, it provides information on medicines available locally. For example, it provides helpful information for finding similar medications used in the country of departure. Furthermore, it offers a function to search for medications that are permissible within the scope of the country's pharmaceutical regulations. This allows travelers to obtain appropriate medications locally. This system serves as an important support tool for travelers to enjoy overseas travel with peace of mind. Through this, the medical support system enables travelers to quickly and accurately obtain medical information locally and utilize appropriate medical facilities and pharmacies.

[0029] The medical support system according to this embodiment comprises a collection unit, a provision unit, a reservation unit, and a search unit. The collection unit collects information on local medical institutions and pharmacies. For example, the collection unit collects information such as the location of local hospitals, medical departments, consultation hours, and language support. For example, the collection unit can collect information using database acquisition or web scraping technology. The collection unit can also analyze ratings and reviews of local medical institutions and prioritize the collection of highly reliable information. For example, the collection unit analyzes past patient reviews of medical institutions and prioritizes the collection of information on highly rated medical institutions. The provision unit provides the information collected by the collection unit to travelers. For example, the provision unit can provide information through an application. The provision unit can also estimate the traveler's emotions and adjust the display method of the information provided based on the estimated emotions. For example, if the traveler is feeling anxious, the provision unit provides a simple and highly visible display method. The reservation unit makes reservations for medical institutions and pharmacies based on the information provided by the provision unit. The reservation unit can make reservations through an online reservation system or telephone reservation, for example. Furthermore, the booking unit can estimate the traveler's emotions and determine booking priorities based on those emotions. For example, if the booking unit is feeling anxious, it will prioritize bookings requiring urgent attention. The search unit searches for drug information within the scope of the pharmaceutical regulations of the country of departure. The search unit provides a function to search locally for similar drugs to those used in the country of departure. The search unit can also estimate the traveler's emotions and adjust the display method of search results based on those emotions. For example, if the search unit is feeling anxious, it will provide a simple and highly visible display method. As a result, the medical support system according to this embodiment enables travelers to quickly and accurately obtain medical information locally and to utilize appropriate medical institutions and pharmacies. Some or all of the above-described processes in the collection unit, provision unit, booking unit, and search unit may be performed using AI, for example, or not using AI. For example, the collection unit can use AI to automatically collect information when collecting information on local medical institutions. The provision unit can use AI to adjust the display method of the collected information when providing it to travelers.The reservation unit can use AI to determine the priority of reservations when booking appointments at medical institutions and pharmacies. The search unit can use AI to adjust how search results are displayed when searching for drug information.

[0030] The data collection department collects information on local medical institutions and pharmacies. For example, it collects information such as the location of local hospitals, medical specialties, operating hours, and language support. Specifically, the department can collect information using databases or web scraping techniques. For database acquisition, it utilizes official databases provided by local medical institutions and public institution databases to obtain the latest and most accurate information. When using web scraping techniques, the department automatically extracts necessary information from the official websites and review sites of medical institutions and stores it in the database. Furthermore, the department can analyze ratings and reviews of local medical institutions and prioritize the collection of highly reliable information. For example, it analyzes past patient reviews of medical institutions and prioritizes the collection of information on highly-rated institutions. This includes analyzing the content of reviews using natural language processing techniques and classifying positive and negative evaluations. The department centrally manages this information and can collaborate with other systems and departments as needed. For example, collected information can be stored on a cloud server and made accessible to the service and reservation departments. Furthermore, the data collection unit can adjust the frequency and accuracy of information collection, enabling flexible responses to specific situations and conditions. This allows the data collection unit to collect data efficiently and effectively, improving the overall system performance.

[0031] The service provider provides travelers with information collected by the collection provider. The service provider can provide information through applications, for example. Specifically, it can quickly provide travelers with the medical information they need through smartphone apps or web applications. The applications feature user-friendly interfaces designed to allow travelers to easily search and view information. Furthermore, the service provider can estimate the traveler's emotions and adjust how the information is displayed based on those emotions. For example, if a traveler is feeling anxious, the service provider will provide a simple and highly visible display. This includes highlighting important information and using colors and icons to make it visually easy to understand. The service provider can also provide information in multiple languages ​​according to the traveler's language settings. This allows travelers to access and understand information in their native language. The service provider can update collected information in real time to provide the most up-to-date information. For example, if a medical institution's opening hours or appointment status changes, the service provider will immediately reflect this in the application and notify travelers. This allows the service provider to help travelers quickly and accurately obtain medical information locally and access appropriate medical institutions and pharmacies.

[0032] The reservation department makes reservations for medical institutions and pharmacies based on information provided by the service provider. Reservations can be made through online reservation systems or telephone reservations, for example. Specifically, the reservation department allows travelers to select their desired medical institutions and pharmacies through an application and complete the reservation process. The online reservation system allows travelers to check the availability of medical institutions in real time and confirm reservations for their desired date and time. For telephone reservations, the reservation department can contact medical institutions on behalf of travelers and handle the reservation process. Furthermore, the reservation department can estimate travelers' emotions and prioritize reservations based on those emotions. For example, if a traveler is feeling anxious, the reservation department will prioritize reservations requiring emergency attention. This involves utilizing AI-based emotion analysis technology to estimate emotions from travelers' input and voice. The reservation department provides an easy-to-use interface for procedures such as confirming, changing, and canceling reservations, improving traveler convenience. The reservation department also has a function to track reservation status in real time and notify travelers. In this way, the reservation department supports travelers in smoothly using medical institutions and pharmacies, allowing them to enjoy their trip with peace of mind.

[0033] The search function searches for drug information within the scope of the drug laws of the country of departure. For example, the search function provides a way to search for similar drugs to those used in the country of departure. Specifically, the search function searches for and lists similar drugs available locally based on the ingredients and effects of the drug the traveler is using. This includes a function that displays only legally available drugs, taking into account the drug laws and regulations of both the country of departure and the local area. The search function can also estimate the traveler's emotions and adjust the display of search results based on these estimations. For example, if the traveler is feeling anxious, the search function provides a simple and highly visible display. This includes highlighting important information and using colors and icons to make it visually easy to understand. Furthermore, the search function provides detailed information, usage instructions, and side effects of the drug the traveler has searched for, supporting appropriate use. The search function can also use AI to analyze the traveler's search history and behavioral patterns to provide individually optimized search results. For example, it can prioritize displaying relevant information based on previously searched drug and medical institution information. Furthermore, the search unit checks the inventory status of local pharmacies in real time, helping travelers to reliably obtain the necessary medications. This allows the search unit to support travelers in obtaining medication information quickly and accurately while they are in their destination country, enabling them to acquire the appropriate medications.

[0034] The data collection unit can collect information on the location, medical specialties, operating hours, and language support of local medical institutions. For example, the unit can collect information on the location, medical specialties, operating hours, and language support of local hospitals. For instance, the unit can obtain this information from databases or using web scraping techniques. For example, it can obtain the location of local hospitals from a database and collect information on medical specialties, operating hours, and language support using web scraping techniques. This allows travelers to obtain detailed information on local medical institutions.

[0035] The service provider can provide travelers with the information collected by the collection provider. For example, the service provider can provide information through an application. For instance, the service provider can display the information collected by the collection provider in the application, making it easily accessible to travelers. The service provider can also estimate the traveler's emotions and adjust how the information is displayed based on those emotions. For example, if a traveler is feeling anxious, the service provider can provide a simple and highly visible display. This allows travelers to utilize the collected information on medical facilities and pharmacies.

[0036] The reservation department can provide travelers with the functionality to make reservations for medical facilities and pharmacies. Reservations can be made through, for example, online reservation systems or telephone reservations. The reservation department can also enable travelers to make reservations for medical facilities and pharmacies through an application. Furthermore, the reservation department can estimate the traveler's emotions and prioritize reservations based on those emotions. For example, if a traveler is feeling anxious, the reservation department will prioritize reservations requiring urgent attention. This allows travelers to make reservations for medical facilities and pharmacies quickly.

[0037] The search function can provide a feature that allows users to search for similar medications used in their country of origin. For example, the search function allows travelers to enter the name of a medication they use in their country of origin through an application and search for similar medications available locally. The search function can also estimate the traveler's emotions and adjust how the search results are displayed based on those emotions. For example, if the traveler is feeling anxious, the search function provides a simple and highly visible display. This allows travelers to obtain information about medications available locally.

[0038] The search unit can provide a function to search for medications that are usable within the scope of the pharmaceutical regulations of the country of departure. For example, the search unit can allow travelers to search for medications that comply with the pharmaceutical regulations of their country of departure 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 will provide a simple and highly visible display method. This will allow travelers to obtain medications that comply with the pharmaceutical regulations of their country of departure locally.

[0039] The data collection unit can analyze past evaluations or reviews of local healthcare institutions during the collection process to prioritize the collection of highly reliable information. For example, the unit can analyze past patient reviews of healthcare institutions and prioritize the collection of information on highly-rated institutions. For example, the unit can analyze past treatment records of healthcare institutions and prioritize the collection of information on highly reliable institutions. Furthermore, the unit can analyze past trouble and complaint information of healthcare institutions and prioritize the collection of information on institutions with few problems. This allows for the priority collection of highly reliable healthcare institution information.

[0040] The data collection unit can collect and provide travelers with the latest information on equipment and technology from local medical institutions during the collection process. For example, the unit can collect and provide travelers with the latest information on medical equipment and technology from medical institutions. It can also collect and provide travelers with information on the latest treatments and medical technologies from medical institutions. Furthermore, the unit can collect and provide travelers with the latest research findings and clinical trial information from medical institutions. This allows the unit to provide travelers with the latest information on medical equipment and technology.

[0041] The data collection unit can gather information on specialists at local medical institutions during the collection process, and prioritize the collection of medical institutions that can treat specific diseases or symptoms. For example, the data collection unit can gather information on specialists' medical departments and specialties, and prioritize the collection of medical institutions that can treat specific diseases or symptoms. For example, the data collection unit can gather information on specialists' clinical performance and evaluations, and prioritize the collection of highly reliable medical institutions. In addition, the data collection unit can gather information on specialists' consultation hours and appointment status, and prioritize the collection of medical institutions that can respond quickly. This allows for the priority collection of information on medical institutions that can treat specific diseases or symptoms.

[0042] The data collection unit can evaluate the emergency response capabilities of local medical institutions during the collection process and prioritize the collection of medical institutions that can respond quickly in an emergency. For example, the data collection unit can collect information on the emergency response capabilities of medical institutions and prioritize the collection of medical institutions that can respond quickly in an emergency. For example, the data collection unit can collect information on the emergency response equipment and staff of medical institutions and prioritize the collection of highly reliable medical institutions. In addition, the data collection unit can collect information on the past emergency response performance of medical institutions and prioritize the collection of medical institutions that can respond quickly. This allows for the priority collection of information on medical institutions that can respond quickly in an emergency.

[0043] The service provider can, at the time of provision, refer to the traveler's past medical history to prioritize providing highly relevant information. For example, the service provider can refer to the traveler's past medical treatment history to prioritize providing information on highly relevant medical institutions. For example, the service provider can refer to the traveler's past medication use history to prioritize providing information on highly relevant pharmacies. Furthermore, the service provider can refer to the traveler's past health status to prioritize providing highly relevant medical information. This allows the service provider to provide highly relevant information based on the traveler's past medical history.

[0044] The service provider can provide information in multiple languages ​​based on the traveler's language settings at the time of delivery. For example, the service provider can automatically translate and provide medical information based on the language settings of the traveler's device. For example, the service provider can provide a language switching function if the traveler uses multiple languages. Furthermore, if the traveler selects a specific language, the service provider can provide medical information in that language. This allows for the provision of information in multiple languages ​​according to the traveler's language settings.

[0045] The service provider can, at the time of provision, refer to the traveler's current location information to prioritize providing information on the nearest medical facilities and pharmacies. For example, the service provider can provide information on the nearest medical facilities based on the traveler's current location. For example, the service provider can provide information on the nearest pharmacies based on the traveler's current location. In addition, the service provider can provide information on medical facilities that can respond quickly in emergencies based on the traveler's current location. This allows the service provider to provide information on the nearest medical facilities and pharmacies based on the traveler's current location.

[0046] The service provider can provide information on vaccinations and health management based on the traveler's health condition at the time of service provision. For example, the service provider can provide necessary vaccination information based on the traveler's health condition. For example, the service provider can provide information on health management based on the traveler's health condition. In addition, the service provider can provide information on local health risks based on the traveler's health condition. This allows for the provision of appropriate vaccination and health management information according to the traveler's health condition.

[0047] The reservation department can suggest an appropriate reservation method by referring to the traveler's past reservation history during the reservation process. For example, the reservation department can refer to the traveler's past reservation history and suggest the optimal reservation method. For example, the reservation department can suggest a reservation method that avoids congestion based on the traveler's past reservation history. Furthermore, the reservation department can analyze the traveler's past reservation history and suggest the most efficient reservation method. This allows the reservation department to suggest the optimal reservation method based on the traveler's past reservation history.

[0048] The reservation department can check the availability of medical institutions in real time and quickly confirm reservations. For example, the reservation department can check the availability of medical institutions in real time and quickly confirm reservations. For example, the reservation department can update the availability status of medical institutions in real time and suggest the optimal reservation time. Furthermore, based on the availability of medical institutions, the reservation department can also confirm reservations that can be made quickly in emergencies. This allows for quick reservation confirmation by checking the availability of medical institutions in real time.

[0049] The reservation department can suggest appropriate reservation dates and times by referring to the traveler's schedule during the reservation process. For example, the reservation department can suggest the optimal reservation date and time based on the traveler's schedule. For example, the reservation department can suggest reservation dates and times that avoid peak hours based on the traveler's schedule. Furthermore, the reservation department can suggest the most efficient reservation date and time based on the traveler's schedule. This allows the reservation department to suggest the optimal reservation date and time based on the traveler's schedule.

[0050] The reservation department can prioritize booking medical facilities that accept insurance by referring to the traveler's insurance information at the time of booking. For example, the reservation department can refer to the traveler's insurance information and prioritize booking medical facilities that accept insurance. For example, the reservation department can suggest the most suitable medical facility based on the traveler's insurance information. Furthermore, the reservation department can refer to the traveler's insurance information and make the most suitable reservation within the scope of insurance coverage. This allows for priority booking of medical facilities that accept insurance based on the traveler's insurance information.

[0051] The search function can prioritize displaying highly relevant drug information by referencing the traveler's past medication history during a search. For example, the search function can prioritize displaying information on similar drugs based on the traveler's past medication history. Furthermore, the search function can analyze the traveler's past medication history and prioritize displaying the most appropriate drug information. This allows the system to provide highly relevant drug information based on the traveler's past medication history.

[0052] The search unit can analyze the ingredient information of local drugs in detail during a search and evaluate their safety by comparing them with drugs from the country of origin. For example, the search unit can analyze the ingredient information of local drugs in detail and evaluate their safety by comparing them with drugs from the country of origin. For example, based on the ingredient information of local drugs, the search unit can suggest drugs with equivalent effects to drugs from the country of origin. In addition, the search unit can analyze the ingredient information of local drugs and suggest drugs that comply with the pharmaceutical regulations of the country of origin. This allows for a detailed analysis of the ingredient information of local drugs and an evaluation of their safety.

[0053] The search function can prioritize displaying medications that do not cause allergic reactions by referencing the traveler's allergy information during a search. For example, the search function can refer to the traveler's allergy information and prioritize displaying medications that do not cause allergic reactions. For example, the search function can suggest medications that do not contain allergens based on the traveler's allergy information. Furthermore, the search function can analyze the traveler's allergy information and prioritize displaying the safest medications. This allows for the provision of safe medication information based on the traveler's allergy information.

[0054] The search unit can provide medication information related to vaccinations and health management based on the traveler's health status during a search. For example, the search unit can provide necessary vaccination information based on the traveler's health status. For example, the search unit can provide medication information related to health management based on the traveler's health status. In addition, the search unit can provide medication information related to local health risks based on the traveler's health status. This allows for the provision of appropriate medication information according to the traveler's health status.

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

[0056] The medical support system can also include a immunization department. This department provides travelers with necessary immunization information for their destination. For example, it can guide travelers on the types of vaccinations required and where to receive them when traveling to a specific region. The immunization department can also refer to a traveler's past immunization history and remind them of any missed vaccinations. This allows travelers to receive necessary vaccinations before traveling, reducing health risks.

[0057] The medical support system can also include a health check section. This section provides tools for travelers to perform self-assessments. For example, by answering simple questions, it can assess the traveler's current health status and provide information on necessary medical facilities. The health check section can also refer to the traveler's past health data and monitor changes in their health status. This allows travelers to understand their own health and utilize appropriate medical facilities.

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

[0059] The medical support system can also include a health information department. This department provides health risk information for the area where the traveler is staying. For example, it can provide information on infectious diseases and health risks prevalent in a specific area. Furthermore, the health information department can provide individually tailored health advice based on the traveler's health condition and length of stay. This allows travelers to understand the health risks in their destination and take appropriate measures.

[0060] The medical support system can also include a medical institution evaluation department. This department collects evaluations of medical institutions used by travelers and provides them to other travelers. For example, travelers can input evaluations of the medical services and support they received at hospitals they visited. The medical institution evaluation department can also refer to travelers' past evaluation history and prioritize displaying highly reliable medical institutions. This provides other travelers with valuable information to help them choose reliable medical institutions.

[0061] The following briefly describes the processing flow for example form 1.

[0062] Step 1: The data collection unit collects information on local medical institutions and pharmacies. For example, it collects information such as the location of local hospitals, medical specialties, operating hours, and language support. The data collection unit can collect information using databases or web scraping techniques. The data collection unit can also analyze ratings and reviews of local medical institutions and prioritize the collection of reliable information. Step 2: The provider unit provides the information collected by the collection unit to the traveler. For example, the information can be provided through an application. The provider unit can also estimate the traveler's emotions and adjust how the information is displayed based on the estimated emotions. For example, if the traveler is feeling anxious, a simple and highly visible display method may be provided. Step 3: The reservation department makes reservations for medical facilities and pharmacies based on the information provided by the service department. For example, reservations can be made through online reservation systems or by phone. The reservation department can also estimate the traveler's emotions and prioritize reservations based on those emotions. For example, if the traveler is feeling anxious, reservations requiring urgent attention will be prioritized. Step 4: The search unit searches for drug information within the scope of the drug regulations of the country of departure. For example, it provides a function to search for similar drugs used in the country of departure. 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, it will provide a simple and highly visible display method.

[0063] (Example of form 2) The medical support system according to an embodiment of the present invention is a system that enables travelers to quickly and accurately obtain medical information locally when traveling abroad. This medical support system provides information on hospitals and drugstores in the area where the traveler is staying. For example, it provides detailed information such as the location of the hospital, medical departments, consultation hours, and language support. It also provides a function that allows travelers to make reservations at hospitals and drugstores. This enables travelers to quickly access medical facilities even in emergencies. Next, it provides information on medicines available locally. For example, it provides information that is useful when searching for similar medicines used in the country of departure. Furthermore, it provides a function that allows travelers to search for medicines that can be used within the scope of the pharmaceutical laws of the country of departure. This enables travelers to obtain appropriate medicines locally. This system is an important support tool for travelers to enjoy overseas travel with peace of mind. For example, it provides information on hospitals and drugstores in the area where the traveler is staying. For example, it provides detailed information such as the location of the hospital, medical departments, consultation hours, and language support. It also provides a function that allows travelers to make reservations at hospitals and drugstores. This enables travelers to quickly access medical facilities even in emergencies. Next, it provides information on medicines available locally. For example, it provides helpful information for finding similar medications used in the country of departure. Furthermore, it offers a function to search for medications that are permissible within the scope of the country's pharmaceutical regulations. This allows travelers to obtain appropriate medications locally. This system serves as an important support tool for travelers to enjoy overseas travel with peace of mind. Through this, the medical support system enables travelers to quickly and accurately obtain medical information locally and utilize appropriate medical facilities and pharmacies.

[0064] The medical support system according to this embodiment comprises a collection unit, a provision unit, a reservation unit, and a search unit. The collection unit collects information on local medical institutions and pharmacies. For example, the collection unit collects information such as the location of local hospitals, medical departments, consultation hours, and language support. For example, the collection unit can collect information using database acquisition or web scraping technology. The collection unit can also analyze ratings and reviews of local medical institutions and prioritize the collection of highly reliable information. For example, the collection unit analyzes past patient reviews of medical institutions and prioritizes the collection of information on highly rated medical institutions. The provision unit provides the information collected by the collection unit to travelers. For example, the provision unit can provide information through an application. The provision unit can also estimate the traveler's emotions and adjust the display method of the information provided based on the estimated emotions. For example, if the traveler is feeling anxious, the provision unit provides a simple and highly visible display method. The reservation unit makes reservations for medical institutions and pharmacies based on the information provided by the provision unit. The reservation unit can make reservations through an online reservation system or telephone reservation, for example. Furthermore, the booking unit can estimate the traveler's emotions and determine booking priorities based on those emotions. For example, if the booking unit is feeling anxious, it will prioritize bookings requiring urgent attention. The search unit searches for drug information within the scope of the pharmaceutical regulations of the country of departure. The search unit provides a function to search locally for similar drugs to those used in the country of departure. The search unit can also estimate the traveler's emotions and adjust the display method of search results based on those emotions. For example, if the search unit is feeling anxious, it will provide a simple and highly visible display method. As a result, the medical support system according to this embodiment enables travelers to quickly and accurately obtain medical information locally and to utilize appropriate medical institutions and pharmacies. Some or all of the above-described processes in the collection unit, provision unit, booking unit, and search unit may be performed using AI, for example, or not using AI. For example, the collection unit can use AI to automatically collect information when collecting information on local medical institutions. The provision unit can use AI to adjust the display method of the collected information when providing it to travelers.The reservation unit can use AI to determine the priority of reservations when booking appointments at medical institutions and pharmacies. The search unit can use AI to adjust how search results are displayed when searching for drug information.

[0065] The data collection department collects information on local medical institutions and pharmacies. For example, it collects information such as the location of local hospitals, medical specialties, operating hours, and language support. Specifically, the department can collect information using databases or web scraping techniques. For database acquisition, it utilizes official databases provided by local medical institutions and public institution databases to obtain the latest and most accurate information. When using web scraping techniques, the department automatically extracts necessary information from the official websites and review sites of medical institutions and stores it in the database. Furthermore, the department can analyze ratings and reviews of local medical institutions and prioritize the collection of highly reliable information. For example, it analyzes past patient reviews of medical institutions and prioritizes the collection of information on highly-rated institutions. This includes analyzing the content of reviews using natural language processing techniques and classifying positive and negative evaluations. The department centrally manages this information and can collaborate with other systems and departments as needed. For example, collected information can be stored on a cloud server and made accessible to the service and reservation departments. Furthermore, the data collection unit can adjust the frequency and accuracy of information collection, enabling flexible responses to specific situations and conditions. This allows the data collection unit to collect data efficiently and effectively, improving the overall system performance.

[0066] The service provider provides travelers with information collected by the collection provider. The service provider can provide information through applications, for example. Specifically, it can quickly provide travelers with the medical information they need through smartphone apps or web applications. The applications feature user-friendly interfaces designed to allow travelers to easily search and view information. Furthermore, the service provider can estimate the traveler's emotions and adjust how the information is displayed based on those emotions. For example, if a traveler is feeling anxious, the service provider will provide a simple and highly visible display. This includes highlighting important information and using colors and icons to make it visually easy to understand. The service provider can also provide information in multiple languages ​​according to the traveler's language settings. This allows travelers to access and understand information in their native language. The service provider can update collected information in real time to provide the most up-to-date information. For example, if a medical institution's opening hours or appointment status changes, the service provider will immediately reflect this in the application and notify travelers. This allows the service provider to help travelers quickly and accurately obtain medical information locally and access appropriate medical institutions and pharmacies.

[0067] The reservation department makes reservations for medical institutions and pharmacies based on information provided by the service provider. Reservations can be made through online reservation systems or telephone reservations, for example. Specifically, the reservation department allows travelers to select their desired medical institutions and pharmacies through an application and complete the reservation process. The online reservation system allows travelers to check the availability of medical institutions in real time and confirm reservations for their desired date and time. For telephone reservations, the reservation department can contact medical institutions on behalf of travelers and handle the reservation process. Furthermore, the reservation department can estimate travelers' emotions and prioritize reservations based on those emotions. For example, if a traveler is feeling anxious, the reservation department will prioritize reservations requiring emergency attention. This involves utilizing AI-based emotion analysis technology to estimate emotions from travelers' input and voice. The reservation department provides an easy-to-use interface for procedures such as confirming, changing, and canceling reservations, improving traveler convenience. The reservation department also has a function to track reservation status in real time and notify travelers. In this way, the reservation department supports travelers in smoothly using medical institutions and pharmacies, allowing them to enjoy their trip with peace of mind.

[0068] The search function searches for drug information within the scope of the drug laws of the country of departure. For example, the search function provides a way to search for similar drugs to those used in the country of departure. Specifically, the search function searches for and lists similar drugs available locally based on the ingredients and effects of the drug the traveler is using. This includes a function that displays only legally available drugs, taking into account the drug laws and regulations of both the country of departure and the local area. The search function can also estimate the traveler's emotions and adjust the display of search results based on these estimations. For example, if the traveler is feeling anxious, the search function provides a simple and highly visible display. This includes highlighting important information and using colors and icons to make it visually easy to understand. Furthermore, the search function provides detailed information, usage instructions, and side effects of the drug the traveler has searched for, supporting appropriate use. The search function can also use AI to analyze the traveler's search history and behavioral patterns to provide individually optimized search results. For example, it can prioritize displaying relevant information based on previously searched drug and medical institution information. Furthermore, the search unit checks the inventory status of local pharmacies in real time, helping travelers to reliably obtain the necessary medications. This allows the search unit to support travelers in obtaining medication information quickly and accurately while they are in their destination country, enabling them to acquire the appropriate medications.

[0069] The data collection unit can collect information on the location, medical specialties, operating hours, and language support of local medical institutions. For example, the unit can collect information on the location, medical specialties, operating hours, and language support of local hospitals. For instance, the unit can obtain this information from databases or using web scraping techniques. For example, it can obtain the location of local hospitals from a database and collect information on medical specialties, operating hours, and language support using web scraping techniques. This allows travelers to obtain detailed information on local medical institutions.

[0070] The service provider can provide travelers with the information collected by the collection provider. For example, the service provider can provide information through an application. For instance, the service provider can display the information collected by the collection provider in the application, making it easily accessible to travelers. The service provider can also estimate the traveler's emotions and adjust how the information is displayed based on those emotions. For example, if a traveler is feeling anxious, the service provider can provide a simple and highly visible display. This allows travelers to utilize the collected information on medical facilities and pharmacies.

[0071] The reservation department can provide travelers with the functionality to make reservations for medical facilities and pharmacies. Reservations can be made through, for example, online reservation systems or telephone reservations. The reservation department can also enable travelers to make reservations for medical facilities and pharmacies through an application. Furthermore, the reservation department can estimate the traveler's emotions and prioritize reservations based on those emotions. For example, if a traveler is feeling anxious, the reservation department will prioritize reservations requiring urgent attention. This allows travelers to make reservations for medical facilities and pharmacies quickly.

[0072] The search function can provide a feature that allows users to search for similar medications used in their country of origin. For example, the search function allows travelers to enter the name of a medication they use in their country of origin through an application and search for similar medications available locally. The search function can also estimate the traveler's emotions and adjust how the search results are displayed based on those emotions. For example, if the traveler is feeling anxious, the search function provides a simple and highly visible display. This allows travelers to obtain information about medications available locally.

[0073] The search unit can provide a function to search for medications that are usable within the scope of the pharmaceutical regulations of the country of departure. For example, the search unit can allow travelers to search for medications that comply with the pharmaceutical regulations of their country of departure 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 will provide a simple and highly visible display method. This will allow travelers to obtain medications that comply with the pharmaceutical regulations of their country of departure locally.

[0074] The data collection unit can estimate the traveler's emotions and prioritize the medical information to collect based on the estimated emotions. For example, if the traveler is feeling anxious, the data collection unit will prioritize collecting information on medical facilities that can provide emergency care. For example, if the traveler is relaxed, the data collection unit can prioritize collecting information on general medical care and preventive medicine. Furthermore, if the traveler is feeling stressed, the data collection unit can prioritize collecting information on medical facilities that provide psychiatric or counseling services. This allows for the priority collection of appropriate medical information according to the traveler's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the data collection unit may be performed using AI, for example, or without AI. For example, to estimate the traveler's emotions, the data collection unit can input image data of the traveler captured by a camera into a generative AI and have the generative AI perform the emotion estimation.

[0075] The data collection unit can analyze past evaluations or reviews of local healthcare institutions during the collection process to prioritize the collection of highly reliable information. For example, the unit can analyze past patient reviews of healthcare institutions and prioritize the collection of information on highly-rated institutions. For example, the unit can analyze past treatment records of healthcare institutions and prioritize the collection of information on highly reliable institutions. Furthermore, the unit can analyze past trouble and complaint information of healthcare institutions and prioritize the collection of information on institutions with few problems. This allows for the priority collection of highly reliable healthcare institution information.

[0076] The data collection unit can collect and provide travelers with the latest information on equipment and technology from local medical institutions during the collection process. For example, the unit can collect and provide travelers with the latest information on medical equipment and technology from medical institutions. It can also collect and provide travelers with information on the latest treatments and medical technologies from medical institutions. Furthermore, the unit can collect and provide travelers with the latest research findings and clinical trial information from medical institutions. This allows the unit to provide travelers with the latest information on medical equipment and technology.

[0077] The data collection unit can estimate the traveler's emotions and determine the priority of pharmacy information to collect based on the estimated emotions. For example, if the traveler is feeling anxious, the data collection unit may prioritize collecting information on 24-hour pharmacies. If the traveler is relaxed, the data collection unit may prioritize collecting information on general pharmacies. Furthermore, if the traveler is stressed, the data collection unit may prioritize collecting information on pharmacies that offer counseling services. This allows for the priority collection of appropriate pharmacy information according to the traveler's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the processing described above in the data collection unit may be performed using AI or not. For example, to estimate the traveler's emotions, the data collection unit may input image data of the traveler captured by a camera into a generative AI and have the generative AI perform the emotion estimation.

[0078] The data collection unit can gather information on specialists at local medical institutions during the collection process, and prioritize the collection of medical institutions that can treat specific diseases or symptoms. For example, the data collection unit can gather information on specialists' medical departments and specialties, and prioritize the collection of medical institutions that can treat specific diseases or symptoms. For example, the data collection unit can gather information on specialists' clinical performance and evaluations, and prioritize the collection of highly reliable medical institutions. In addition, the data collection unit can gather information on specialists' consultation hours and appointment status, and prioritize the collection of medical institutions that can respond quickly. This allows for the priority collection of information on medical institutions that can treat specific diseases or symptoms.

[0079] The data collection unit can evaluate the emergency response capabilities of local medical institutions during the collection process and prioritize the collection of medical institutions that can respond quickly in an emergency. For example, the data collection unit can collect information on the emergency response capabilities of medical institutions and prioritize the collection of medical institutions that can respond quickly in an emergency. For example, the data collection unit can collect information on the emergency response equipment and staff of medical institutions and prioritize the collection of highly reliable medical institutions. In addition, the data collection unit can collect information on the past emergency response performance of medical institutions and prioritize the collection of medical institutions that can respond quickly. This allows for the priority collection of information on medical institutions that can respond quickly in an emergency.

[0080] The service provider can estimate the traveler's emotions and adjust the way information is displayed based on the estimated emotions. For example, if the traveler is feeling anxious, the service provider can provide a simple and highly visible display method. For example, if the traveler is relaxed, the service provider can provide a display method that includes detailed information. Furthermore, if the traveler is feeling stressed, the service provider can provide a display method with a visually calming design. This allows for the provision of appropriate information display methods according to the traveler's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the service provider may be performed using AI, for example, or without AI. For example, to estimate the traveler's emotions, the service provider can input image data of the traveler taken by a camera into a generative AI and have the generative AI perform the emotion estimation.

[0081] The service provider can, at the time of provision, refer to the traveler's past medical history to prioritize providing highly relevant information. For example, the service provider can refer to the traveler's past medical treatment history to prioritize providing information on highly relevant medical institutions. For example, the service provider can refer to the traveler's past medication use history to prioritize providing information on highly relevant pharmacies. Furthermore, the service provider can refer to the traveler's past health status to prioritize providing highly relevant medical information. This allows the service provider to provide highly relevant information based on the traveler's past medical history.

[0082] The service provider can provide information in multiple languages ​​based on the traveler's language settings at the time of delivery. For example, the service provider can automatically translate and provide medical information based on the language settings of the traveler's device. For example, the service provider can provide a language switching function if the traveler uses multiple languages. Furthermore, if the traveler selects a specific language, the service provider can provide medical information in that language. This allows for the provision of information in multiple languages ​​according to the traveler's language settings.

[0083] The service provider can estimate the traveler's emotions and adjust the display method of the medication information based on the estimated emotions. For example, if the traveler is feeling anxious, the service provider can provide a simple and highly visible display method. For example, if the traveler is relaxed, the service provider can provide a display method that includes detailed medication information. Furthermore, if the traveler is stressed, the service provider can provide a display method with a visually calming design. This allows for the provision of appropriate medication information display methods according to the traveler's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. The generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the service provider may be performed using AI, for example, or without AI. For example, in order to estimate the traveler's emotions, the service provider can input image data of the traveler taken by a camera into the generative AI and have the generative AI perform the emotion estimation.

[0084] The service provider can, at the time of provision, refer to the traveler's current location information to prioritize providing information on the nearest medical facilities and pharmacies. For example, the service provider can provide information on the nearest medical facilities based on the traveler's current location. For example, the service provider can provide information on the nearest pharmacies based on the traveler's current location. In addition, the service provider can provide information on medical facilities that can respond quickly in emergencies based on the traveler's current location. This allows the service provider to provide information on the nearest medical facilities and pharmacies based on the traveler's current location.

[0085] The service provider can provide information on vaccinations and health management based on the traveler's health condition at the time of service provision. For example, the service provider can provide necessary vaccination information based on the traveler's health condition. For example, the service provider can provide information on health management based on the traveler's health condition. In addition, the service provider can provide information on local health risks based on the traveler's health condition. This allows for the provision of appropriate vaccination and health management information according to the traveler's health condition.

[0086] The booking department can estimate the traveler's emotions and determine booking priorities based on those estimated emotions. For example, if a traveler is feeling anxious, the booking department will prioritize bookings requiring emergency attention. If a traveler is relaxed, the booking department will prioritize bookings for general medical consultations. Furthermore, if a traveler is stressed, the booking department can prioritize bookings for psychiatric consultations or counseling. This allows for the determination of appropriate booking priorities according to the traveler's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the booking department may be performed using AI, or not. For example, to estimate a traveler's emotions, the booking department can input image data of the traveler captured by a camera into a generative AI and have the generative AI perform the emotion estimation.

[0087] The reservation department can suggest an appropriate reservation method by referring to the traveler's past reservation history during the reservation process. For example, the reservation department can refer to the traveler's past reservation history and suggest the optimal reservation method. For example, the reservation department can suggest a reservation method that avoids congestion based on the traveler's past reservation history. Furthermore, the reservation department can analyze the traveler's past reservation history and suggest the most efficient reservation method. This allows the reservation department to suggest the optimal reservation method based on the traveler's past reservation history.

[0088] The reservation department can check the availability of medical institutions in real time and quickly confirm reservations. For example, the reservation department can check the availability of medical institutions in real time and quickly confirm reservations. For example, the reservation department can update the availability status of medical institutions in real time and suggest the optimal reservation time. Furthermore, based on the availability of medical institutions, the reservation department can also confirm reservations that can be made quickly in emergencies. This allows for quick reservation confirmation by checking the availability of medical institutions in real time.

[0089] The booking department can estimate the traveler's emotions and adjust the booking confirmation method based on the estimated emotions. For example, if the traveler is feeling anxious, the booking department can provide a simple and highly visible confirmation method. If the traveler is relaxed, the booking department can provide a confirmation method that includes detailed information. Furthermore, if the traveler is stressed, the booking department can provide a confirmation method with a visually calming design. This allows the booking department to provide an appropriate booking confirmation method according to the traveler's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the booking department may be performed using AI or not using AI. For example, to estimate the traveler's emotions, the booking department can input image data of the traveler taken by a camera into a generative AI and have the generative AI perform the emotion estimation.

[0090] The reservation department can suggest appropriate reservation dates and times by referring to the traveler's schedule during the reservation process. For example, the reservation department can suggest the optimal reservation date and time based on the traveler's schedule. For example, the reservation department can suggest reservation dates and times that avoid peak hours based on the traveler's schedule. Furthermore, the reservation department can suggest the most efficient reservation date and time based on the traveler's schedule. This allows the reservation department to suggest the optimal reservation date and time based on the traveler's schedule.

[0091] The reservation department can prioritize booking medical facilities that accept insurance by referring to the traveler's insurance information at the time of booking. For example, the reservation department can refer to the traveler's insurance information and prioritize booking medical facilities that accept insurance. For example, the reservation department can suggest the most suitable medical facility based on the traveler's insurance information. Furthermore, the reservation department can refer to the traveler's insurance information and make the most suitable reservation within the scope of insurance coverage. This allows for priority booking of medical facilities that accept insurance based on the traveler's insurance information.

[0092] The search unit can estimate the traveler's emotions and adjust how search results are displayed based on the estimated emotions. For example, if the traveler is feeling anxious, the search unit can provide a simple and highly visible display method. If the traveler is relaxed, the search unit can provide a display method that includes detailed information. Furthermore, if the traveler is stressed, the search unit can provide a display method with a visually calming design. This allows for the provision of appropriate search result display methods according to the traveler's emotions. Emotion estimation is achieved using an emotion estimation function, for example, using an emotion engine or generative AI. Generative AI is, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the search unit may be performed using AI, for example, or without AI. For example, to estimate the traveler's emotions, the search unit can input image data of the traveler taken by a camera into the generative AI and have the generative AI perform the emotion estimation.

[0093] The search function can prioritize displaying highly relevant drug information by referencing the traveler's past medication history during a search. For example, the search function can prioritize displaying information on similar drugs based on the traveler's past medication history. Furthermore, the search function can analyze the traveler's past medication history and prioritize displaying the most appropriate drug information. This allows the system to provide highly relevant drug information based on the traveler's past medication history.

[0094] The search unit can analyze the ingredient information of local drugs in detail during a search and evaluate their safety by comparing them with drugs from the country of origin. For example, the search unit can analyze the ingredient information of local drugs in detail and evaluate their safety by comparing them with drugs from the country of origin. For example, based on the ingredient information of local drugs, the search unit can suggest drugs with equivalent effects to drugs from the country of origin. In addition, the search unit can analyze the ingredient information of local drugs and suggest drugs that comply with the pharmaceutical regulations of the country of origin. This allows for a detailed analysis of the ingredient information of local drugs and an evaluation of their safety.

[0095] The search unit can estimate the traveler's emotions and prioritize search results based on the estimated emotions. For example, if the traveler is feeling anxious, the search unit can prioritize displaying information on medications requiring emergency treatment. If the traveler is feeling relaxed, the search unit can prioritize displaying information on general medications. Furthermore, if the traveler is feeling stressed, the search unit can prioritize displaying information on tranquilizers and medications with relaxing effects. This allows for the determination of appropriate search result priorities according to the traveler's emotions. Emotion estimation is achieved using an emotion estimation function, such as an emotion engine or generative AI. Generative AI may be, but is not limited to, text generation AI (e.g., LLM) or multimodal generation AI. Some or all of the above processing in the search unit may be performed using AI, or not using AI. For example, to estimate the traveler's emotions, the search unit can input image data of the traveler captured by a camera into a generative AI and have the generative AI perform the emotion estimation.

[0096] The search function can prioritize displaying medications that do not cause allergic reactions by referencing the traveler's allergy information during a search. For example, the search function can refer to the traveler's allergy information and prioritize displaying medications that do not cause allergic reactions. For example, the search function can suggest medications that do not contain allergens based on the traveler's allergy information. Furthermore, the search function can analyze the traveler's allergy information and prioritize displaying the safest medications. This allows for the provision of safe medication information based on the traveler's allergy information.

[0097] The search unit can provide medication information related to vaccinations and health management based on the traveler's health status during a search. For example, the search unit can provide necessary vaccination information based on the traveler's health status. For example, the search unit can provide medication information related to health management based on the traveler's health status. In addition, the search unit can provide medication information related to local health risks based on the traveler's health status. This allows for the provision of appropriate medication information according to the traveler's health status.

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

[0099] The medical support system can also include a translation unit. This unit translates medical information collected by the data collection unit into the traveler's native language. For example, it can automatically translate hospital departments and drug ingredient information, providing it in a format easily understood by travelers. The translation unit can also provide a simple phrasebook for travelers to use at medical facilities. This allows travelers to utilize local medical services without language barriers. Furthermore, the translation unit can estimate the traveler's emotions and adjust the accuracy and expression of the translation based on those emotions. For example, if a traveler is feeling anxious, it can use more polite and reassuring language.

[0100] The medical support system can also include a notification unit. This unit provides real-time notifications of medical and appointment information based on conditions set by the traveler. For example, if a traveler sets a specific hospital's operating hours, the system can notify them when those hours change. The notification unit can also estimate the traveler's emotions and adjust the content and timing of notifications based on those emotions. For instance, if the traveler is stressed, it can only notify them of important information and refrain from sending unnecessary notifications. This ensures that travelers receive necessary information at the right time.

[0101] The medical support system can also include a feedback section. This section collects ratings and reviews of medical facilities and pharmacies used by travelers and provides them to other travelers. For example, travelers can input ratings about the medical care and service they received at a hospital. The feedback section can also estimate the traveler's emotions and adjust the feedback collection method based on these estimates. For instance, if a traveler is satisfied, detailed feedback can be requested, while if they are dissatisfied, only a brief rating may be requested. This ensures that other travelers can obtain reliable information.

[0102] The medical support system can also include a health management department. This department monitors the traveler's health status and provides appropriate medical information and advice. For example, if a traveler has a pre-existing condition, it can provide information on how to manage it and what precautions to take. Furthermore, the health management department can estimate the traveler's emotions and adjust health management advice based on those emotions. For instance, if a traveler is feeling anxious, it can provide reassuring advice. This allows travelers to enjoy their trip with peace of mind while maintaining their health.

[0103] The medical support system can also include an emergency contact unit. This unit provides a function for travelers to quickly contact emergency services in the event of an emergency. For example, if a traveler encounters an emergency, they can contact local emergency services or the embassy through the emergency contact unit. The emergency contact unit can also estimate the traveler's emotions and adjust the emergency contact method based on those emotions. For example, if the traveler is in a state of panic, it can provide a simple and intuitive way to operate the system. This allows travelers to respond quickly and appropriately in emergencies.

[0104] The medical support system can also include a immunization department. This department provides travelers with necessary immunization information for their destination. For example, it can guide travelers on the types of vaccinations required and where to receive them when traveling to a specific region. The immunization department can also refer to a traveler's past immunization history and remind them of any missed vaccinations. This allows travelers to receive necessary vaccinations before traveling, reducing health risks.

[0105] The medical support system can also include a health check section. This section provides tools for travelers to perform self-assessments. For example, by answering simple questions, it can assess the traveler's current health status and provide information on necessary medical facilities. The health check section can also refer to the traveler's past health data and monitor changes in their health status. This allows travelers to understand their own health and utilize appropriate medical facilities.

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

[0107] The medical support system can also include a health information department. This department provides health risk information for the area where the traveler is staying. For example, it can provide information on infectious diseases and health risks prevalent in a specific area. Furthermore, the health information department can provide individually tailored health advice based on the traveler's health condition and length of stay. This allows travelers to understand the health risks in their destination and take appropriate measures.

[0108] The medical support system can also include a medical institution evaluation department. This department collects evaluations of medical institutions used by travelers and provides them to other travelers. For example, travelers can input evaluations of the medical services and support they received at hospitals they visited. The medical institution evaluation department can also refer to travelers' past evaluation history and prioritize displaying highly reliable medical institutions. This provides other travelers with valuable information to help them choose reliable medical institutions.

[0109] The following briefly describes the processing flow for example form 2.

[0110] Step 1: The data collection unit collects information on local medical institutions and pharmacies. For example, it collects information such as the location of local hospitals, medical specialties, operating hours, and language support. The data collection unit can collect information using databases or web scraping techniques. The data collection unit can also analyze ratings and reviews of local medical institutions and prioritize the collection of reliable information. Step 2: The provider unit provides the information collected by the collection unit to the traveler. For example, the information can be provided through an application. The provider unit can also estimate the traveler's emotions and adjust how the information is displayed based on the estimated emotions. For example, if the traveler is feeling anxious, a simple and highly visible display method may be provided. Step 3: The reservation department makes reservations for medical facilities and pharmacies based on the information provided by the service department. For example, reservations can be made through online reservation systems or by phone. The reservation department can also estimate the traveler's emotions and prioritize reservations based on those emotions. For example, if the traveler is feeling anxious, reservations requiring urgent attention will be prioritized. Step 4: The search unit searches for drug information within the scope of the drug regulations of the country of departure. For example, it provides a function to search for similar drugs used in the country of departure. 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, it will provide 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 audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0112] Data generation model 58 is a form of so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> Examples of generative AI include text generation AI, image generation AI, and multimodal generation AI. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats from audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVMs), k-means clustering, convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each of the above parts is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example.Furthermore, processing performed by AI, including generative AI, may be replaced with rule-based processing, and rule-based processing may be replaced with processing performed by AI, including generative AI.

[0113] Furthermore, the processing performed by the data processing system 10 described above is carried out by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart device 14, but it may also be carried out by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the smart device 14. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the smart device 14 or an external device, and the smart device 14 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0114] Each of the multiple elements described above, including the collection unit, provision unit, reservation unit, and search unit, is implemented, for example, by at least one of the smart device 14 and the data processing unit 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 can provide the collected information to travelers by the specific processing unit 290 of the data processing unit 12. The reservation unit can make reservations for medical institutions and pharmacies by the control unit 46A of the smart device 14. The search unit can search for drug information by the specific processing unit 290 of the data processing unit 12. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be modified in various ways.

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

[0116] As shown in Figure 3, the data processing system 210 includes a 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 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0118] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0119] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0120] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0121] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0122] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing by the processor 28. The storage 32 stores the specific processing program 56.

[0123] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0124] Storage 32 stores the data generation model 58 and the 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 user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0125] In the smart glasses 214, 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 acting as a control unit 46A according to the specific processing program 60 executed on the RAM 48. The smart glasses 214 also have a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0126] Furthermore, other devices besides the data processing device 12 may also 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 processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[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 audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0128] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the smart glasses 214, but it may also be performed 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 necessary for processing from the smart glasses 214 or an external device, and the smart glasses 214 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0130] Each of the multiple elements described above, including the collection unit, provision unit, reservation unit, and search unit, is implemented, for example, in at least one of the smart glasses 214 and the data processing unit 12. For example, the collection unit can collect information on local medical facilities and pharmacies using the control unit 46A of the smart glasses 214. The provision unit can provide the collected information to travelers, for example, using the specific processing unit 290 of the data processing unit 12. The reservation unit can make reservations for medical facilities and pharmacies, for example, using the control unit 46A of the smart glasses 214. The search unit can search for drug information, for example, using the specific processing unit 290 of the data processing unit 12. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be modified in various ways.

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

[0132] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0133] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0134] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0135] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0136] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0137] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0138] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0139] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0140] Storage 32 stores the data generation model 58 and the 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 user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0141] In the headset terminal 314, 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 acting as a control unit 46A according to the specific program 60 executed on the RAM 48. The headset terminal 314 also has a data generation model 58 and an emotion identification model 59, similar to the data generation model and emotion identification model 59, and can perform processing similar to that of the specific processing unit 290 using these models.

[0142] Furthermore, other devices besides the data processing device 12 may also 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 processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[0143] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0144] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the headset terminal 314, but may also be performed by the specific processing unit 290 of the data processing device 12 and the control unit 46A of the headset terminal 314. In addition, the specific processing unit 290 of the data processing device 12 acquires or collects information necessary for processing from the headset terminal 314 or an external device, and the headset terminal 314 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0146] Each of the multiple elements described above, including the collection unit, provision unit, reservation unit, and search unit, is implemented, for example, by at least one of the headset terminal 314 and the data processing unit 12. For example, the collection unit can collect information on local medical institutions and pharmacies using the control unit 46A of the headset terminal 314. The provision unit can provide the collected information to travelers, for example, by the specific processing unit 290 of the data processing unit 12. The reservation unit can make reservations for medical institutions and pharmacies, for example, using the control unit 46A of the headset terminal 314. The search unit can search for drug information, for example, using the specific processing unit 290 of the data processing unit 12. The correspondence between each unit and the device or control unit is not limited to the examples described above and can be modified in various ways.

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

[0148] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0149] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN and / or LAN.

[0150] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0151] The microphone 238 receives voice signals from the user and accepts instructions from the user. The microphone 238 captures the voice signals from the user, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0152] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS image sensor or CCD image sensor, which captures images of the area around the user (for example, an imaging range defined by a field of view equivalent to the field of vision of a typical healthy person).

[0153] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0154] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. The robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0155] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0156] The processor 28 reads a 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 acting as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0157] Storage 32 stores the data generation model 58 and the 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 user's emotions using the emotion identification model 59 and perform identification processing using the user's emotions. The emotion estimation function (emotion identification function) using the emotion identification model 59 performs various estimations and predictions regarding the user's emotions, including but not limited to these examples. Furthermore, emotion estimation and prediction also include, for example, emotion analysis.

[0158] In robot 414, specific processing is performed by processor 46. A specific program 60 is stored in storage 50. Processor 46 reads the specific program 60 from storage 50 and executes it on RAM 48. The specific processing is achieved by processor 46 acting as a control unit 46A according to the specific program 60 executed on RAM 48. Robot 414 also has data generation model 58 and emotion identification model 59, similar to those of the robot, and can perform processing similar to that of the specific processing unit 290 using these models.

[0159] Furthermore, other devices besides the data processing device 12 may also 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 processing results (such as prediction results) using the data generation model 58 by communicating with the server device that has the data generation model 58. Also, the data processing device 12 may be a server device or a terminal device owned by the user (for example, a mobile phone, robot, home appliance, etc.).

[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 controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0161] The data generation model 58 is a so-called generative AI. An example of a data generation model 58 is a generative AI such as ChatGPT. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and inference data such as audio data representing speech, text data representing text, and image data representing images (e.g., still image data or video data). The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference result in one or more data formats such as audio data, text data, and image data. The data generation model 58 includes, for example, text generation AI, image generation AI, and multimodal generation AI. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization. The specific processing unit 290 performs the specific processing described above using the data generation model 58. The data generation model 58 may be a fine-tuned model that outputs inference results from prompts that do not contain instructions, in which case the data generation model 58 can output inference results from prompts that do not contain instructions. In the data processing device 12, etc., there are multiple types of data generation models 58, and the data generation model 58 includes AI other than generative AI. AI other than generative AI includes, for example, linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), k-means clustering, convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), or naive Bayes, and can perform various processes, but is not limited to these examples. Also, the AI ​​may be an AI agent. Furthermore, when the processing of each part described above is performed by the AI, the processing may be performed by the AI ​​in part or in whole, but is not limited to this example. Also, processing performed by an AI including a generative AI may be replaced by rule-based processing, and rule-based processing may be replaced by processing performed by an AI including a generative 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 performed by the specific processing unit 290 of the data processing device 12 or the control unit 46A of the robot 414, but it may also be performed 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 necessary for processing from the robot 414 or an external device, and the robot 414 acquires or collects information necessary for processing from the data processing device 12 or an external device.

[0163] Each of the multiple elements described above, including the collection unit, provision unit, reservation unit, and search unit, is implemented, for example, by at least one of the robot 414 and the data processing unit 12. For example, the collection unit can collect information on local medical facilities and pharmacies by the control unit 46A of the robot 414. The provision unit can provide the collected information to travelers, for example, by the specific processing unit 290 of the data processing unit 12. The reservation unit can make reservations for medical facilities and pharmacies, for example, by the control unit 46A of the robot 414. The search unit can search for drug information, for example, by the specific processing unit 290 of the data processing unit 12. The correspondence between each unit and the device or control unit is not limited to the example described above and can be modified in various ways.

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

[0165] Figure 9 shows the emotion map 400, in 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 the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0166] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0167] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0168] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, and motorcycles, emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated based, for example, on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0169] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it 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 emotion around the positive "desire" on the reaction side. In other words, it 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 user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[0171] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing method for the specific process may be used, which includes computer 22 and multiple other computers.

[0172] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[0173] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[0174] Furthermore, it is not necessary to store the entirety 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 the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[0175] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[0176] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of 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). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[0177] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[0178] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[0179] Furthermore, although the above-described examples were divided into four embodiments, some or all of these embodiments may be combined. Also, the smart device 14, smart glasses 214, headset terminal 314, and robot 414 are just examples, and they may be combined, or other devices may be used. Also, although the above-described examples were divided into two embodiments, Embodiment 1 and Embodiment 2, these may be combined.

[0180] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and other things that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[0181] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[0182] (Note 1) A collection department that collects information on local medical institutions and pharmacies, A provisioning unit that provides the information collected by the collection unit to travelers, A reservation department that makes reservations for medical institutions and pharmacies based on the information provided by the aforementioned provision department, It includes a search unit that searches for drug information within the scope of the pharmaceutical laws of the country of origin. A system characterized by the following features. (Note 2) The aforementioned collection unit is Collect information on the location, medical specialties, operating hours, and language support of local medical facilities. The system described in Appendix 1, characterized by the features described herein. (Note 3) The aforementioned supply unit is, The information collected by the aforementioned collection unit is provided to travelers. The system described in Appendix 1, characterized by the features described herein. (Note 4) The aforementioned reservation section is, This service provides travelers with the ability to make reservations at medical facilities and pharmacies. The system described in Appendix 1, characterized by the features described herein. (Note 5) The aforementioned search unit, This service provides a function to search for similar medications used in the country of departure. The system described in Appendix 1, characterized by the features described herein. (Note 6) The aforementioned search unit, This service provides a function to search for medications that can be used within the scope of the pharmaceutical regulations of the country of origin. The system described in Appendix 1, characterized by the features described herein. (Note 7) The aforementioned collection unit is We estimate travelers' sentiments and prioritize the healthcare information we collect based on those estimated sentiments. The system described in Appendix 1, characterized by the features described herein. (Note 8) The aforementioned collection unit is During data collection, we analyze past evaluations or reviews of local healthcare institutions and prioritize collecting reliable information. The system described in Appendix 1, characterized by the features described herein. (Note 9) The aforementioned collection unit is During the collection process, we gather the latest information on the facilities and technologies of local medical institutions and provide it to travelers. The system described in Appendix 1, characterized by the features described herein. (Note 10) The aforementioned collection unit is We estimate the sentiment of travelers and prioritize the pharmacy information to collect based on the estimated sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 11) The aforementioned collection unit is During the data collection process, information on specialists at local medical institutions is gathered, and priority is given to selecting medical institutions that can treat specific diseases or symptoms. The system described in Appendix 1, characterized by the features described herein. (Note 12) The aforementioned collection unit is During the collection process, the emergency response capabilities of local medical institutions will be evaluated, and priority will be given to selecting institutions that can respond quickly in an emergency. The system described in Appendix 1, characterized by the features described herein. (Note 13) The aforementioned supply unit is, We estimate travelers' sentiments and adjust how information is displayed based on those estimated sentiments. The system described in Appendix 1, characterized by the features described herein. (Note 14) The aforementioned supply unit is, When providing information, we refer to the traveler's past medical history to prioritize providing highly relevant information. The system described in Appendix 1, characterized by the features described herein. (Note 15) The aforementioned supply unit is, When providing information, we will offer it in multiple languages ​​based on the traveler's language settings. The system described in Appendix 1, characterized by the features described herein. (Note 16) The aforementioned supply unit is, We estimate travelers' emotions and adjust how drug information is displayed based on those estimated emotions. The system described in Appendix 1, characterized by the features described herein. (Note 17) The aforementioned supply unit is, When providing information, the system prioritizes providing information on the nearest medical facilities and pharmacies by referencing the traveler's current location. The system described in Appendix 1, characterized by the features described herein. (Note 18) The aforementioned supply unit is, When providing information, we will provide information on vaccinations and health management based on the traveler's health status. The system described in Appendix 1, characterized by the features described herein. (Note 19) The aforementioned reservation section is, It estimates the sentiment of travelers and determines booking priorities based on the estimated sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 20) The aforementioned reservation section is, When you make a reservation, we refer to your past booking history and suggest the most appropriate booking method. The system described in Appendix 1, characterized by the features described herein. (Note 21) The aforementioned reservation section is, When making a reservation, you can check the availability of medical facilities in real time and quickly confirm your reservation. The system described in Appendix 1, characterized by the features described herein. (Note 22) The aforementioned reservation section is, We estimate the traveler's sentiment and adjust the booking confirmation method based on the estimated traveler's sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 23) The aforementioned reservation section is, When you make a reservation, we will refer to your schedule and suggest a suitable date and time for your reservation. The system described in Appendix 1, characterized by the features described herein. (Note 24) The aforementioned reservation section is, When making a reservation, the system will refer to the traveler's insurance information and prioritize booking medical facilities that accept insurance. The system described in Appendix 1, characterized by the features described herein. (Note 25) The aforementioned search unit, We estimate travelers' sentiments and adjust how search results are displayed based on those estimated sentiments. The system described in Appendix 1, characterized by the features described herein. (Note 26) The aforementioned search unit, When searching, the system prioritizes displaying highly relevant drug information by referencing the traveler's past medication use history. The system described in Appendix 1, characterized by the features described herein. (Note 27) The aforementioned search unit, During the search, the drug's ingredient information is analyzed in detail and its safety is evaluated by comparing it to drugs from the country of origin. The system described in Appendix 1, characterized by the features described herein. (Note 28) The aforementioned search unit, It estimates the traveler's sentiment and prioritizes search results based on that estimated sentiment. The system described in Appendix 1, characterized by the features described herein. (Note 29) The aforementioned search unit, When searching, the system prioritizes displaying medications that do not cause allergic reactions by referencing the traveler's allergy information. The system described in Appendix 1, characterized by the features described herein. (Note 30) The aforementioned search unit, When searching, the system provides information on vaccinations and medications related to health management based on the traveler's health status. The system described in Appendix 1, characterized by the features described herein. [Explanation of symbols]

[0183] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots

Claims

1. A collection department that collects information on local medical institutions and pharmacies, A provisioning unit that provides the information collected by the collection unit to travelers, A reservation department that makes reservations for medical institutions and pharmacies based on the information provided by the aforementioned provision department, It comprises a search unit that searches for drug information of similar drugs to the drug used by the traveler in the country of departure, and which are available locally, The collection unit has an emotion estimation function that estimates the traveler's emotions, and if the emotion estimation function estimates that the traveler is feeling anxious, it prioritizes collecting information on medical institutions that can provide emergency response. The drug information retrieved by the search unit is provided to the traveler by the provision unit. A system characterized by the following features.

2. The aforementioned collection unit is Collect information on the location, medical specialties, operating hours, and language support of local medical facilities. The system according to feature 1.

3. The aforementioned search unit, It has a function to search only for drug information on legally available drugs. The system according to feature 1.

4. The aforementioned collection unit is If the aforementioned emotion estimation function estimates that the traveler is experiencing stress, the system will prioritize collecting information on medical institutions that provide psychiatric or counseling services. The system according to feature 1.

5. The aforementioned collection unit is During data collection, we analyze past evaluations or reviews of local healthcare institutions and prioritize collecting reliable information. The system according to feature 1.

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