Processing device, processing program, processing method, and processing system

Abstract

[Problem] To provide a processing device, a processing program, a processing method, and a processing system suitable for generating a submission document. [Solution] Provided is a processing device comprising at least one processor, wherein the at least one processor is configured to execute processing for: acquiring a subject image of a subject by a camera configured to capture an image of the subject; generating, on the basis of the subject image, at least one of determination result information indicating a result of determining a possibility of catching at least one of one or more diseases and determination assistance information for assisting in determination for the at least one of one or more diseases; and generating a submission document on the basis of the acquired at least one of determination result information and determination assistance information.

Description

Processing device, processing program, processing method, and processing system

[0001] The present disclosure relates to a processing device, a processing program, a processing method, and a processing system for generating a notification document.

[0002] It has long been known that physicians diagnose illnesses such as viral colds by observing changes in a subject's oral condition. Non-Patent Document 1 reports that lymphoid follicles appearing in the deepest part of the pharynx, located in the oral cavity, exhibit a pattern specific to influenza. Lymphoid follicles with this unique pattern are called influenza follicles, a characteristic sign of influenza that is said to appear approximately two hours after the onset of symptoms. Influenza exhibiting such characteristic oral findings not only causes high fever and joint pain, but also increases the risk of death due to severe symptoms. It is also known that the virus is easily transmitted by droplets or contact. However, when such illnesses are confirmed, written notification or provision of information may be required to national and local governments, schools, workplaces, and other institutions.

[0003] Miyamoto and Watanabe, "Consideration of the meaning and value of pharyngeal examination findings (influenza follicles)," Nihon University Medical Journal 72 (1): 11-18 (2013)

[0004] Therefore, taking into account the above-mentioned technologies, the present disclosure aims to provide, in various embodiments, a processing device, a processing program, a processing method, and a processing system that are suitable for generating information to be provided to one or more management institutions that manage information related to at least one disease.

[0005] According to one aspect of the present disclosure, there is provided "a processing device having at least one processor, wherein the at least one processor is configured to execute a process of acquiring a subject image of the subject via a camera configured to photograph the subject of a subject, generating, based on the subject image, at least one of determination result information indicating a determination result of the possibility of contracting at least one of one or more diseases and determination auxiliary information for assisting in the determination of at least one of the one or more diseases, and generating, based on at least one of the acquired determination result information and determination auxiliary information, information to be provided to one or more management institutions that manage information related to the at least one disease."

[0006] According to one aspect of the present disclosure, there is provided a processing program that, when executed by at least one processor, causes the at least one processor to function to acquire a subject image of the subject via a camera configured to photograph the subject, generate, based on the subject image, at least one of determination result information indicating a determination result of the possibility of contracting at least one of one or more diseases and determination auxiliary information for assisting in the determination of at least one of the one or more diseases, and generate, based on at least one of the acquired determination result information and determination auxiliary information, information to be provided to one or more management institutions that manage information related to at least one of the diseases.

[0007] According to one aspect of the present disclosure, there is provided a processing method executed by at least one processor, comprising: a step of acquiring a subject image of a subject via a camera configured to photograph the subject; a step of generating, based on the subject image, at least one of determination result information indicating a determination result of the possibility of contracting at least one of one or more diseases and determination auxiliary information for assisting in the determination of at least one of the one or more diseases; and a step of generating, based on at least one of the acquired determination result information and determination auxiliary information, provision information to be provided to one or more management institutions that manage information related to the at least one disease.

[0008] According to one aspect of the present disclosure, a processing system includes: a camera configured to capture an image of a subject in order to determine whether the subject has at least one of one or more diseases; a subject terminal device configured to be available for use by the subject; and at least one terminal device configured to be available at a medical institution capable of diagnosing the subject's morbidity with at least one of the one or more diseases; and a server device communicably connected to the camera and the at least one terminal device via a communication network, wherein the processing system transmits, to the server device via the communication network, a subject image of the subject generated by capturing the subject with the camera, and when the subject image is transmitted to the server device, a processing system configured to execute a process of generating, based on a body image, at least one of determination result information indicating a determination result of the possibility of contracting at least one of one or more diseases and determination auxiliary information for assisting in the determination of at least one of the one or more diseases; generating, based on the acquired at least one of the determination result information and the determination auxiliary information, information to be provided to one or more management institutions that manage information related to the at least one disease; transmitting the generated information to the at least one terminal device via the communication network; and outputting the information to be provided on the at least one terminal device when the information to be provided is transmitted to the at least one terminal device.

[0009] According to the present disclosure, it is possible to provide a processing device, processing program, processing method, and processing system suitable for generating information to be provided to one or more management institutions that manage information related to at least one disease.

[0010] It should be noted that the above effects are merely illustrative for the sake of convenience and are not limiting. In addition to or instead of the above effects, any effect described in this disclosure or an effect obvious to a person skilled in the art may be achieved.

[0011] FIG. 1 is a block diagram showing a configuration of a processing system 1 according to an embodiment of the present disclosure. FIG. 2A is a block diagram showing a configuration of a server device 100 according to an embodiment of the present disclosure. FIG. 2B is a block diagram showing a configuration of a terminal device 300 according to an embodiment of the present disclosure. FIG. 3A is a diagram conceptually showing a subject management table stored in the server device 100 according to an embodiment of the present disclosure. FIG. 3B is a diagram conceptually showing a disease management table stored in the server device 100 according to an embodiment of the present disclosure. FIG. 3C is a diagram conceptually showing a medical worker management table stored in the server device 100 according to an embodiment of the present disclosure. FIG. 4 is a diagram showing a processing sequence executed in the processing system 1 according to an embodiment of the present disclosure. FIG. 5 is a diagram showing a processing flow executed in the server device 100 according to an embodiment of the present disclosure. FIG. 6 is a diagram showing a processing flow related to generation of a trained determination model according to an embodiment of the present disclosure. FIG. 7A is a diagram showing a processing flow executed by the server device 100 according to an embodiment of the present disclosure. FIG. 7B is a diagram showing a processing flow executed by the server device 100 according to an embodiment of the present disclosure. FIG. 7C is a diagram showing a processing flow executed by the server device 100 according to an embodiment of the present disclosure. FIG. 8A is a diagram illustrating an example of provided information according to an embodiment of the present disclosure. FIG. 8B is a diagram illustrating an example of provided information according to an embodiment of the present disclosure. FIG. 8C is a diagram illustrating an example of provided information according to an embodiment of the present disclosure. FIG. 8D is a diagram illustrating an example of provided information according to an embodiment of the present disclosure. FIG. 8E is a diagram illustrating an example of provided information according to an embodiment of the present disclosure. FIG. 9 is a diagram conceptually illustrating a disease management table stored in a server device 100 according to an embodiment of the present disclosure. FIG. 10 is a diagram illustrating a processing sequence executed by a processing system 1 according to an embodiment of the present disclosure. FIG. 11 is a diagram illustrating a processing flow executed by the server device 100 according to an embodiment of the present disclosure. FIG. 12 is a diagram illustrating an example of a notification document according to an embodiment of the present disclosure.

[0012] 1. Overview of Processing System 1 The processing system 1 according to the present disclosure is used to determine the possibility of one or at least one of a plurality of diseases based on a subject image and to generate, for example, a notification document based on the determination result. For example, such processing system 1 determines the possibility of contracting an infectious disease such as influenza based on a subject image of the oral cavity captured by a photographing device. Then, based on the determination result information, which is the result of the determination, it generates notification documents required for various organizations such as the national government, local governments, schools, and workplaces. Therefore, users (e.g., medical professionals) who need to create such notification documents can create notification documents more efficiently.

[0013] In this disclosure, the one or more diseases may be any diseases for which notification of onset or disappearance of symptoms, or absence of onset, is required to be made to Japan or other foreign countries, local governments, schools, workplaces, and other institutions, or for which information is required to be provided. For example, in Japan, the "Act on Prevention of Infectious Diseases and Medical Care for Patients with Infectious Diseases (Infectious Diseases Act)" requires notification of the following diseases: - A: Diseases that are subject to complete surveillance, which require notification of all outbreaks of infectious diseases classified as categories 1 to 5, infectious diseases such as new influenza, designated infectious diseases, etc. - B: Diseases that are subject to fixed-point surveillance, which require reporting of the number of outbreaks, etc. at specific designated medical institutions on a predetermined basis, such as weekly or monthly - C: Suspected diseases that cannot be immediately diagnosed as a specific infectious disease - D: Animal diseases that are notifiable by veterinarians, such as monkeys with Ebola hemorrhagic fever

[0014] In addition, under Article 19 of the School Health and Safety Act, students may be asked to suspend attendance in order to prevent the spread of infectious diseases. However, if an infectious disease falls under the category of "infectious diseases that should be prevented in schools" as defined by the Enforcement Regulations of the Act, a school attendance permission certificate from a medical institution or a school attendance notification from a parent or guardian is required in order for a student to return to school.

[0015] Thus, examples of one or more diseases in the present disclosure include diseases for which notification of onset or disappearance of symptoms, or absence of onset, or diseases for which provision of information is required, to Japan or other foreign countries, their local governments, schools, workplaces, and other institutions. Specifically, the following are included: Category 1 infectious diseases such as influenza, streptococcal infection, adenovirus infection, EB virus infection, mycoplasma infection, hand, foot, and mouth disease, herpangina, candidiasis, chickenpox, shingles, Marburg disease, Crimean-Congo hemorrhagic fever, Lassa fever, Ebola hemorrhagic fever, South American hemorrhagic fever, smallpox, and plague Category 2 infectious diseases such as acute polio (polio), diphtheria, tuberculosis, avian influenza (H5N1, H7N9), SARS, and MERS Category 3 infectious diseases such as bacterial dysentery, paratyphoid, typhoid, enterohemorrhagic Escherichia coli infection, and cholera Malaria, yellow fever, dengue fever, Japanese encephalitis, scrub typhus, Lyme disease, typhus, leptospirosis, hepatitis A, hepatitis E, Q fever, botulism, legionellosis, West Nile fever, echinococcosis, empox, psittacosis, Omsk hemorrhagic fever, relapsing fever, Kyasanur Forest disease, rabies, coccidioidomycosis, Zika virus infection, severe fever with thrombocytopenia syndrome (SFTS), hemorrhagic fever with renal syndrome, Western Category 4 infectious diseases, including tick encephalitis, tick-borne encephalitis, anthrax, chikungunya fever, eastern equine encephalitis, avian influenza (excluding H5N1 and H7N9), Nipah virus infection, Japanese spotted fever, Hantavirus pulmonary syndrome, B virus disease, glanders, brucellosis, Venezuelan equine encephalitis, Hendra virus infection, typhus, tularemia, lyssavirus infection, Rift Valley fever, melioidosis, leptospirosis, and Rocky Mountain spotted fever- Amebic dysentery, viral hepatitis (excluding hepatitis A and E), carbapenem-resistant Enterobacteriaceae infection, acute flaccid paralysis (excluding acute poliomyelitis), acute encephalitis (excluding Waite's Nile encephalitis, western equine encephalitis, tick-borne encephalitis, eastern equine encephalitis, Japanese encephalitis, Venezuelan equine encephalitis, and Rift Valley fever), cryptosporidiosis, Creutzfeldt-Jakob disease, severe hemolytic streptococcal infection, acquired immunodeficiency syndrome, giardiasis, invasive Category 5 infectious diseases, including invasive Haemophilus influenzae infection, invasive meningococcal infection, invasive pneumococcal infection, chickenpox, congenital rubella syndrome, syphilis, disseminated cryptococcosis, tetanus, vancomycin-resistant Staphylococcus aureus infection, vancomycin-resistant enterococcus infection, whooping cough, rubella, measles, drug-resistant Acinetobacter infection, respiratory syncytial virus infection, pharyngoconjunctival fever, group A hemolytic streptococcal pharyngitis, infectious gastroenteritis, erythema infectiosum, exanthema subitum, and mumps - Designated infectious diseases, infectious diseases such as novel influenza, coronavirus infections including novel coronavirus infections, acute hemorrhagic conjunctivitis, epidemic keratoconjunctivitis, chlamydia infection, genital herpes virus infection, condyloma acuminata, gonorrhea, chlamydia pneumonia (excluding psittacosis), bacterial meningitis (excluding cases identified as caused by Neisseria meningitidis, Streptococcus pneumoniae, or Haemophilus influenzae), mycoplasma pneumonia, penicillin-resistant Streptococcus pneumoniae infection, methicillin-resistant Staphylococcus aureus infection, drug-resistant Pseudomonas aeruginosa infection, and suspected diseases specified by the Ministry of Health, Labour and Welfare Ordinance stipulated in Article 14, paragraph 1 of the Infectious Diseases Act. Among these diseases, - Preferably, diseases in which findings appear in subject images taken of a natural orifice of a living body, - More preferably, diseases in which findings are observed in subject images taken of natural orifices, mainly the oral cavity, pharynx, larynx, etc.,Particularly preferred examples include influenza, coronavirus infection, group A streptococcal pharyngitis, herpangina, measles, rubella, whooping cough, erythema infectiosum, mumps, respiratory syncytial virus infection, adenovirus infection, Epstein-Barr virus infection, hand, foot, and mouth disease, diphtheria, tuberculosis, chickenpox, syphilis, chlamydia infection, and gonorrhea. As mentioned above, the infectious diseases specifically exemplified here are known as diseases in which findings are observed primarily in the oral cavity, pharynx, larynx, and other natural openings, and can be used to assess disease status and assist medical professionals in making assessments based on images, etc. For ease of explanation, the following description will focus on diseases in which findings are observed in the oral cavity, pharynx, larynx, and other areas, but is not limited to these.

[0016] In the present disclosure, determination result information refers to information indicating the result of a determination of the possibility of a predetermined disease based on a subject image. Such determination result information typically refers to information indicating a determination result made by a medical professional such as a doctor, but does not refer only to the definitive determination result described above. Therefore, determination result information also includes, for example, a determination result made by analysis using a trained determination model or image recognition technology. Furthermore, in the present disclosure, determination auxiliary information refers to information that assists a medical professional such as a doctor in making a definitive determination of the possibility of a predetermined disease. Therefore, determination auxiliary information also includes, for example, information made by analysis using a trained determination model or image recognition technology. Note that, in the following, a case will be described in which determination result information, which is the result of a determination of the possibility of a disease, is used; however, similar processing is possible even when determination auxiliary information is used instead.

[0017] Furthermore, in the present disclosure, the subject, the subject to be photographed by the photographing device, includes all people, such as patients, test subjects, persons to be assessed, and healthy individuals. Furthermore, in the present disclosure, the operator who holds the photographing device and operates the photographing device is not limited to medical professionals such as doctors, nurses, and laboratory technicians, but also includes all people, such as the subject himself or herself or their guardians. Furthermore, in the present disclosure, the user who uses the terminal device 300 to request the creation of notification documents, etc., is not limited to medical professionals such as doctors, nurses, and laboratory technicians, but also includes all people, such as the subject himself or herself or their guardians. In other words, although the subject, operator, and user are given names based on the actions they perform for convenience of explanation, they may be different persons or the same person. Hereinafter, these persons will be collectively referred to as users.

[0018] In addition, in the present disclosure, the imaging device and the terminal device may be used by an operator or a user as described above, but are typically assumed to be used in a medical institution. However, the use is not limited to this case, and the location of use may be anywhere, such as in Japan or other countries, or in institutions such as local governments, schools, and workplaces.

[0019] Furthermore, in this disclosure, a notification document typically refers to a document submitted to an institution, such as Japan or a foreign country, or a local government, school, workplace, or other institution, in response to a request from such institution. Such notification documents are usually prepared by a medical professional, the subject, the guardian, or the like, but in this disclosure, at least a portion of the notification document can be output in a pre-prepared state. Furthermore, the notification document may be output in any format, including a specific data format and a physical medium format such as paper.

[0020] Here, in the present disclosure, a notification document is an example of provided information provided to one or more management institutions that manage disease-related information. In the present disclosure, the provided information may be information provided to any of the institutions, such as the national government, local government, school, or workplace, in response to a request from the institution, and may naturally be information other than a notification document. In addition to notification documents, such provided information also includes information in non-document format (which may be not only text data but also any data that can be interpreted by the system), such as information on individual assessment results of the possibility of contracting a disease, information compiling the individual assessment results, information indicating the infection status based on the individual assessment results, and information indicating attendance status based on the individual assessment results. In addition to the above-mentioned institutions, such provided information also includes prescription information provided to pharmacies, etc.

[0021] Furthermore, such information may be provided to each institution at any time, including when it is a notification document, as exemplified below: - When requested by each institution - At a predetermined frequency (for example, once a week at a set time) - Whenever assessment result information or assessment assistance information is obtained

[0022] Furthermore, such provided information, including in the case of a notification document, may or may not be provided directly to each institution. For example, the provided information may be provided to any of the following terminal devices: a medical institution terminal device used by a medical professional; a subject terminal device used by the subject or their related parties (such as a guardian); an operator terminal device used by an operator who operates the imaging device; a user terminal device used by a user who prepares the notification document; or a terminal device of an institution in Japan or a foreign country, a local government thereof, a school, a workplace, etc., and then provided to each institution as data or on a physical medium such as paper. Furthermore, the provided information, including in the case of a notification document, does not necessarily have to be provided to each institution. For example, the notification document may simply be displayed on each terminal device exemplified above.

[0023] In the following, unless otherwise specified, a case will be described in which a notification document is generated as an example of provided information.

[0024] 2. Configuration of Processing System 1 FIG. 1 is a block diagram showing the configuration of a processing system 1 according to an embodiment of the present disclosure. According to FIG. 1 , the processing system 1 includes a server device 100, an imaging device 200, and a terminal device 300, which are communicatively connected via a wired or wireless network. The server device 100 determines the possibility of a subject having a disease based on a subject image acquired from the imaging device 200, generates a notification document based on medical interview information and requests acquired from the terminal device 300, and outputs the notification document to the terminal device 300. The imaging device 200 has its tip inserted into the oral cavity of a subject to capture images of the oral cavity, particularly the pharynx, and transmits the captured subject images to the server device 100 via a wired or wireless network. The terminal device 300 inputs subject information, medical interview information, findings information, and the like required for processing in the server device 100, receives and outputs determination result information or determination assistance information indicating the possibility of a subject having a predetermined disease from the server device 100, and receives and outputs a notification document regarding the predetermined disease generated by the server device 100.

[0025] In this disclosure, the processing device refers to the server device 100, the terminal device 300, or a combination thereof. In other words, although the following describes a case where the server device 100 functions as a processing device, the terminal device 300 can also function as a processing device. In addition, in this disclosure, the storage and processing performed by the processing device may be distributed to other terminal devices, other server devices, etc. In other words, the processing device is not limited to those configured in a single housing, but includes the server device 100, the imaging device 200, the terminal device 300, other terminal devices, other server devices, or a combination thereof.

[0026] 1 shows only one terminal device 300 and one imaging device 200. However, for example, in a large-scale medical institution, it is possible that multiple terminal devices 300 or multiple imaging devices 200 are managed and operated. Also, it is possible that different terminal devices 300 are used for different processes, such as performing some processes such as a determination request on the terminal device 300 at the medical institution and performing the remaining processes such as outputting notification documents on the terminal device 300 held by the guardian.

[0027] FIG. 2A is a block diagram showing the configuration of a server device 100 according to an embodiment of the present disclosure. According to FIG. 2A , the server device 100 includes a processor 111, a memory 112, and a communication interface 113. These components are electrically connected to one another via control lines and data lines. The server device 100 does not need to include all of the components shown in FIG. 2A ; some components may be omitted, or other components may be added. For example, an external memory, a database device, a server device, or the like connected in a communicable manner as memory may be used. Furthermore, some processing may be distributed and executed among processing devices, including other server devices. In other words, the server device 100 is not limited to a single device, but may be distributed across multiple devices depending on the information handling and processing load.

[0028] The processor 111 functions as a control unit that controls other components of the processing system 1 based on a processing program stored in the memory 112. Based on the processing program stored in the memory 112, the processor 111 executes a process for determining the possibility of a disease based on a subject image and generating a notification document based on the determination result. Specifically, the processor 111 executes the following processes based on the processing program stored in the memory 112: "acquiring a subject image of the subject via a camera configured to capture an image of the subject," "generating, based on the subject image, at least one of determination result information indicating the determination result of the possibility of a disease at least one of one or more diseases and determination auxiliary information for assisting in the determination of at least one of one or more diseases," and "generating a notification document based on at least one of the acquired determination result information and determination auxiliary information." The processor 111 is mainly composed of one or more CPUs, but may also be combined with a GPU, FPGA, etc. as appropriate.

[0029] The memory 112 is composed of RAM, ROM, non-volatile memory, HDD, SSD, etc., and functions as a storage unit. The memory 112 stores instructions and commands for various control operations of the processing system 1 according to this embodiment as processing programs. Specifically, the memory 112 stores programs for the processor 111 to execute, for example, "a process of acquiring a subject image of the subject via a camera configured to capture the subject," "a process of generating, based on the subject image, at least one of determination result information indicating a determination result of the possibility of the subject having at least one disease and determination auxiliary information for assisting in the determination of at least one disease," and "a process of generating a notification document based on at least one of the acquired determination result information and determination auxiliary information." In addition to the programs, the memory 112 also stores various information stored in the subject management table, disease management table, medical worker management table, etc. Note that this information does not need to be constantly stored in the memory 112 within the server device 100 and may be stored in a remote database device. In that case, the database device is also included in the memory 112.

[0030] The communication interface 113 functions as a notification unit for transmitting and receiving various information to and from the image capture device 200 and the terminal device 300 connected via a wired or wireless network. Examples of the communication interface 113 include a wired communication connector such as a USB or SCSI, a wireless communication transmitting / receiving device for broadband wireless communication such as wireless LAN, Bluetooth (registered trademark), or LTE, an infrared or other wireless communication, and various connection terminals for printed circuit boards and flexible circuit boards. The communication interface 113 receives subject images from the image capture device 200, receives assessment requests and trend requests from the terminal device 300, and transmits assessment results and notification documents.

[0031] 2B is a block diagram showing the configuration of a terminal device 300 according to an embodiment of the present disclosure. According to FIG. 2B , the terminal device 300 includes a processor 311, a memory 312, an input interface 313, an output interface 314, and a communication interface 315. These components are electrically connected to one another via control lines and data lines. It should be noted that the terminal device 300 does not need to include all of the components shown in FIG. 2B ; some components may be omitted, or other components may be added. The terminal device 300 may be any device capable of communicating with the server device 100 and the image capture device 200 via a wired or wireless network. Examples of the terminal device 300 include a smartphone, a tablet device, a laptop PC, a desktop PC, and an image capture device. Such terminal devices 300 include medical institution terminal devices installed in medical institutions that diagnose the possibility of disease and used by medical professionals, subject terminal devices used by subjects and their related parties (such as guardians), operator terminal devices used by operators who operate the imaging device 200, and user terminal devices used by users who prepare notification documents. However, the names of the terminal devices exemplified here are merely given to distinguish them according to their functions and the attributes of the main users. In other words, one terminal device can function as multiple terminal devices.

[0032] The processor 311 functions as a control unit that controls other components of the processing system 1 based on a processing program stored in the memory 312. The processor 311 transmits a determination request for requesting a determination of the possibility of a predetermined disease, and outputs a received notification document, based on the processing program stored in the memory 312. Specifically, the processor 311 executes the following processes based on the processing program stored in the memory 312: "accepting, via the input interface 313, a user's selection of a subject to be determined as a subject for which the possibility of the predetermined disease is to be determined," "sending, via the communication interface 315, a determination request for requesting a determination of the possibility of the received subject for the predetermined disease," "receiving, from the server device 100 via the communication interface 315, information on the determination result of the possibility of the predetermined disease and a notification document generated based on the determination result," "outputting (displaying) the received determination result information or notification document on a display, printer, etc. via the output interface 314," "accepting a user's operation input via the input interface 313 and editing the output notification document," and the like. The processor 111 is mainly composed of one or more CPUs, but may also be appropriately combined with a GPU, FPGA, etc.

[0033] The memory 312 is composed of RAM, ROM, non-volatile memory, HDD, SSD, etc., and functions as a storage unit. The memory 312 stores instructions and commands for various controls of the processing system 1 according to this embodiment as processing programs. Specifically, the memory 312 stores processing programs that the processor 311 executes, such as "accepting, via the input interface 313, the selection of a subject to be determined as to the possibility of the subject having a predetermined disease," "sending, via the communication interface 315, a determination request for determining the possibility of the subject having a predetermined disease to the server device 100," "receiving, from the server device 100 via the communication interface 315, information on the determination result of the possibility of the subject having a predetermined disease and a notification document generated based on the determination result," "outputting (displaying) the received determination result information or the notification document on a display, printer, etc. via the output interface 314," and "accepting an instruction input by the user via the input interface 313 and editing the output notification document."

[0034] The input interface 313 functions as an input unit that accepts user instructions input to the terminal device 300. Examples of the input interface 313 include physical key buttons and a touch panel having an input coordinate system corresponding to the display coordinate system of the display. In the case of a touch panel, icons are displayed on the display, and the operator selects each icon by inputting instructions via the touch panel. The method for detecting the user's instruction input via the touch panel may be any method, such as a capacitive method or a resistive method. The input interface 313 does not always need to be physically provided on the terminal device 300, and may be connected as needed via a wired or wireless network. Therefore, in addition to the above, a mouse, a keyboard, etc. can also be used as the input interface 313.

[0035] The output interface 314 functions as an output unit for outputting information such as the determination results and notification documents received from the server device 100. An example of the output interface 314 is a display configured with a liquid crystal panel, an organic EL display, a plasma display, or the like. However, the terminal device 300 itself does not necessarily need to be equipped with a display. For example, an interface for connecting to a display or the like connectable to the terminal device 300 via a wired or wireless network can also function as the output interface 314 for outputting display data to the display or the like.

[0036] The communication interface 315 functions as a communication unit for transmitting and receiving assessment requests, trend requests, assessment results, notification documents, etc., to and from the server device 100 and the image capturing device 200 connected via a wired or wireless network. Examples of the communication interface 315 include a wired communication connector such as a USB or SCSI, a wireless communication transmitting / receiving device for broadband wireless communication such as wireless LAN, Bluetooth (registered trademark), or LTE, or an infrared wireless communication, and various connection terminals for printed circuit boards or flexible circuit boards.

[0037] 3. Various Information Used in Processing in the Processing System 1 Figures 3A to 3C show various tables that store information that is stored in the server device 100 and provided to the imaging device 200 and terminal device 300 as the processing progresses. This information is updated and stored as the processing progresses. Note that the information shown in Figures 3A to 3B may be stored in the memory 112 of the server device 100, or may be stored in another remotely installed database device, electronic medical record device, or the like, and read out as the processing progresses.

[0038] FIG. 3A is a conceptual diagram illustrating a subject management table stored in the server device 100 according to an embodiment of the present disclosure. According to FIG. 3A , the subject management table stores, in association with subject ID information, information such as assessment result information, medical interview information, findings information, subject image information, subject attribute information, assessment date information, and diagnostic record information. The “subject ID information” is information unique to each subject for identifying each subject. For example, the subject ID information is generated each time a new subject is registered by a user. However, the subject ID information may be any information capable of identifying the subject as described above. It is not limited to such information, but may also include unique identification information assigned by institutions such as Japan or other foreign countries, their local governments, schools, and workplaces. The “assessment result information” is information indicating the result of an assessment of the subject's likelihood of contracting a disease. While the case where the assessment result information is used is illustrated here, the auxiliary assessment information can also be used in a similar manner. Therefore, the processing related to the processing system 1 can be performed with at least one of the assessment result information and the auxiliary assessment information.

[0039] The "medical interview information" is information input by, for example, a subject or a medical professional, etc., and is used as a reference for a doctor's diagnosis, such as the subject's medical history and symptoms. Examples of such medical interview information include patient background information such as weight, allergies, and underlying diseases, body temperature, peak body temperature since onset, time elapsed since onset, heart rate, pulse rate, oxygen saturation, blood pressure, medication status, contact with other infectious disease patients, subjective symptoms and physical findings such as joint pain, muscle pain, headache, fatigue, loss of appetite, chills, sweating, cough, sore throat, runny nose / nasal congestion, tonsillitis, gastrointestinal symptoms, rash on the hands and feet, redness or white coating of the pharynx, swollen tonsils, history of tonsillectomy, strawberry tongue, and swelling of tender anterior cervical lymph nodes, history of infectious disease vaccination, and timing of vaccination. The medical interview information is selected or input by accepting instruction input from the subject or a medical professional via the input interface 313 in the terminal device 300. The information is then transmitted from the terminal device 300 to the server device 100 and stored in the subject management table.

[0040] "Finding information" is information input by a medical professional such as a doctor, and indicates a condition that is different from normal obtained by various examinations of the subject, such as visual examination, questioning, palpation, auscultation, or percussion, or by tests to assist in diagnosis. Examples of such finding information include redness or white coating of the pharynx, swelling of the tonsils, the presence or absence of tonsillitis, redness or white coating of the tonsils, etc. The finding information is selected or input by accepting an instruction input by the medical professional via the input interface 313 in the terminal device 300. The finding information is then transmitted from the terminal device 300 to the server device 100, where it is stored in the subject management table.

[0041] "Subject image information" refers to image data including at least the subject's pharynx as a subject, captured using the imaging device 200 or the like. The image data may be one or more still images, one or more videos, or a combination thereof. The subject image information is stored by being received from the imaging device 200 via the communication interface 113. The subject image information may be the image data itself captured by the imaging device 200, or may be data obtained by performing image processing such as sharpening on the image data. The subject image information is typically useful for diagnosing the possibility of infection with an infectious disease in which findings are observed in the oral cavity, including the pharynx. Specifically, the subject image information is used by medical professionals such as doctors to provide reference findings, or by a processing device to generate information to diagnose the possibility of infection with a specific disease or to assist in such diagnosis. Note that such subject image information may be various information analyzed from the image data, instead of or in addition to the image data. For example, the subject image information may include values, classifications, or categories obtained by inputting the image data into a trained analysis model to quantify redness of the throat, swollen tonsils, etc.

[0042] "Subject attribute information" is information indicating the attributes of each subject. Typical examples of such information include the subject's place of residence, age, weight, sex, place of work / school, and family members living together, which may be involved in the spread of a specific disease. The subject information is input, for example, via the input interface 313 of the terminal device 300, and is stored by being received from the terminal device 300 via the communication interface 113. "Assessment date information" is information indicating the time when the possibility of contracting a specific disease was assessed using a subject image. The assessment date information may be information input by a user, or may be information extracted using a timer or the like provided in any of the processing devices. "Diagnosis record information" is information recording the results of a diagnosis made by a medical professional. Examples of the diagnostic record information include diagnostic method information indicating a diagnostic method in which a diagnosis was made using a method other than the determination by the server device 100 (for example, a rapid influenza test using immunochromatography, a PCR test, a virus isolation and culture test, etc.), and date information such as the date of receipt when the subject visited for diagnosis, the date of diagnosis when the medical professional made the diagnosis, the date of infection when the subject is presumed to have been infected with a virus, etc., the date of onset when symptoms appeared due to the infection, and the date of death when death due to the infection was confirmed. The diagnostic record information is input, for example, via the input interface 313 of the terminal device 300, and is stored by being received from the terminal device 300 via the communication interface 113.

[0043] FIG. 3B is a conceptual diagram illustrating a disease management table stored in the server device 100 according to an embodiment of the present disclosure. According to FIG. 3B , the disease table stores notification criteria information, form information, and the like, in association with disease information. The disease management table is generated in advance by an operator, user, or the like of the processing system 1. The "disease information" is information for identifying a disease for which a notification document can be generated by processing by the processing system 1. Examples of the disease information include the name of the disease and ID information, which is information unique to each disease. Examples of such diseases include diseases that require notification to various institutions, such as the national government, local governments, schools, and workplaces, upon the onset or disappearance of symptoms. Specifically, in Japan, these include diseases defined in the "Act on Prevention of Infectious Diseases and Medical Care for Patients with Infectious Diseases (Infectious Diseases Act)" and infectious diseases that fall under the category of "infectious diseases to be prevented in schools" defined in the Enforcement Regulations of the School Health and Safety Act. More specifically, examples of diseases include those in which findings are observed in subject images of natural openings such as the oral cavity, pharynx, and larynx of a living body, and particularly examples of diseases include influenza, coronavirus infection, group A streptococcal pharyngitis, herpangina, measles, rubella, whooping cough, erythema infectiosum, mumps, respiratory syncytial virus infection, adenovirus infection, Epstein-Barr virus infection, hand, foot, and mouth disease, diphtheria, tuberculosis, chickenpox, syphilis, chlamydia infection, and gonorrhea.

[0044] The "reporting criteria information" is information indicating the criteria for reporting each disease to various institutions, such as the national government, local governments, schools, and workplaces. For example, in the case of influenza, reporting is required when any of the following conditions are present: All systemic symptoms, such as sudden onset, high fever, upper respiratory tract symptoms, and general fatigue; Detection of pathogen antigens using a rapid diagnostic kit. The reporting criteria information stores such criteria established for each disease. In addition to these criteria, the reporting criteria information also includes information such as: Who (e.g., the administrator of the institution submitting the notification) and When (e.g., weekly or the following Monday). Note that these are examples for influenza, and naturally, different criteria may be used for each disease.

[0045] "Form information" is information that identifies a document that serves as a template for submitting a notification to various institutions, such as the national government, local governments, schools, and workplaces, for each disease. When a disease is diagnosed, the document data (any data format) of the notification document identified by the form information is read out. Such notification documents may be in a format designated in advance by the respective institutions, or may be in a format created by the medical institution or user themselves. Furthermore, these notification documents may have different formats depending on the disease. In other words, the input fields differ for each disease. Each of these notification documents has one or more input fields, and various information stored in a subject management table or the like is automatically entered into each input field. Examples of such notification documents are described in Figure 8A, etc.

[0046] 3C is a diagram conceptually illustrating a medical staff management table stored in the server device 100 according to an embodiment of the present disclosure. According to FIG. 3C, medical institution information, location information, contact information, name information, and the like are stored in association with medical staff ID information. The medical staff management table is generated in advance by the operator or user of the processing system 1.

[0047] "Medical worker ID information" is information unique to each medical worker and is used to identify each medical worker. "Medical institution information" is information that indicates the medical institution to which each medical worker belongs, the organization and department of that institution, etc., and includes information such as ID information unique to the medical institution and the name of the medical institution. "Location information" is information that indicates the location of each medical worker or the medical institution to which each medical worker belongs. Examples include information such as address. "Contact information" is information that indicates the contact information for each medical worker or the medical institution to which each medical worker belongs. Examples include telephone number, email address, SNS account, etc. "Name information" is information that indicates the name of each medical worker.

[0048] 4. Processing Sequence Executed in Processing System 1 Fig. 4 is a diagram showing a processing sequence executed in the processing system 1 according to an embodiment of the present disclosure. Specifically, Fig. 4 shows a processing sequence executed between the server device 100, the image capture device 200, and the terminal device 300. Of these, S11 to S16 mainly represent processing for acquiring a subject image from the image capture device 200, S21 to S27 represent a first processing for outputting a notification document, and S41 to S45 represent a second processing for outputting a notification document.

[0049] First, the process of acquiring a subject image will be described. Referring to FIG. 4 , the power button or the like is pressed to turn on the image capture device 200, thereby starting the image capture device 200 (S11). Then, the image capture device 200 selects subject information of a subject to be captured from the subject information of uncaptured subjects received from the server device 100, based on the operator's instruction input received via the input interface 210 (S12). Next, the image capture device 200 determines whether or not an auxiliary tool is attached to the tip of the image capture device 200 to assist in inserting the image capture device into the oral cavity. If the auxiliary tool is not yet attached, the image capture device 200 outputs a display prompting the user to attach the auxiliary tool via the output interface (S13). Note that this display is merely an example, and the user may also be prompted to attach the tool by sound, flashing light, vibration, or other means. When it is detected that the auxiliary tool has been attached to the image capture device 200 (S14), the image capture device 200 captures a subject image based on the operator's instruction input received via the input interface (S15). Although the wearing of the assistive device is detected here, this process may be skipped.

[0050] When the subject image is captured, the photographing device 200 transmits the captured subject image (T11) together with the subject ID information of the photographed subject to the server device 100 via the communication interface. When the server device 100 receives the subject image via the communication interface 113, it stores the subject image in the subject management table in association with the subject ID information received together.

[0051] Next, a first process for outputting a notification document will be described. This process is performed, for example, when a notification document is generated each time a disease is diagnosed. As shown in FIG. 4 , the processor 311 of the terminal device 300 accepts selection of subject information for a subject to be diagnosed via the input interface 313 on a screen displaying a list of subject information (S21). At this time, although not specifically illustrated, the terminal device 300 generates subject ID information, medical interview information, and findings information for the subject based on the user's input, and transmits the information to the server device 100 via the communication interface 315. Upon receiving the subject ID information, medical interview information, and findings information via the communication interface 115, the server device 100 stores the information in a subject management table. The processor 311 of the terminal device 300 then references the subject management table, reads the subject ID information for the subject, and transmits it to the server device 100 along with a request (T21) for determining the possibility of the subject having one or more diseases. When the server device 100 receives the assessment request, it references the subject image in the subject management table based on the subject ID information received together with the request, and reads out the subject image, medical interview information, and findings information associated with the subject ID information.The server device 100 then determines the possibility of each disease based on the read subject image, and stores the assessment result in the subject management table (S22).

[0052] Once the determination is made, the server device 100 references the disease management table and reads out form information associated with the disease determined to be a possible disease. The server device 100 identifies a notification document from the read-out form information and performs a notification document generation process based on the information in the subject management table and the medical worker management table (S23). Once the notification document is generated, the server device 100 outputs the generated notification document (T22) together with the determination result stored in S22 to the terminal device 300 that sent the determination request.

[0053] The processor 311 of the terminal device 300 displays the determination result received via the communication interface 315 on the display via the output interface 314 (S24), and also outputs (displays) the notification document in the same manner (S25). The processor 311 of the terminal device 300 accepts instructions input by the user via the input interface 313 and performs additions, corrections, etc. to the output notification document (S26). Upon accepting instructions input by the user via the input interface 313, the processor 311 of the terminal device 300 stores the notification document with additions, corrections, etc. in the memory 312 and outputs it via the output interface 314 (e.g., a printer) (S27). An example of the notification document generated in this first process will be described later.

[0054] Next, the second process for outputting a notification document will be described. This process is executed, for example, when a notification document is generated for a certain period of time, a certain number of cases, or at any timing specified by a user. As shown in FIG. 4 , the processor 311 of the terminal device 300 receives, via the input interface 313, instructions for the trend notification document, such as on a notification document creation menu screen, and accepts the selection of the disease for which the notification document is to be created. The processor 311 of the terminal device 300 then transmits, via the communication interface 315, a request to create a notification document for reporting trends to the server device 100 (T41).

[0055] Upon receiving the request, the server device 100 executes a notification document generation process (S42). The details of this process will be described later. The server device 100 then outputs the generated notification document (T42) to the terminal device 300 that sent the request.

[0056] The processor of the terminal device 300 outputs (displays) the notification document received via the communication interface 315 on the display via the output interface 314 (S43). The processor 311 of the terminal device 300 accepts user input via the input interface 313 and adds or modifies the output notification document (S44). Upon receiving user input via the input interface 313, the processor 311 stores the added or modified notification document in the memory 312 and outputs it via the output interface 314 (e.g., a printer) (S27). Examples of terminal devices 300 that output notification documents include medical institution terminal devices installed in medical institutions that diagnose the possibility of disease and used by medical professionals, and subject terminal devices used by subjects and their associates (such as guardians). Medical institution terminal devices are primarily used to generate notification documents that need to be submitted by medical institutions. The subject terminal device is primarily used to generate notification documents that must be submitted by the subject or the subject's guardian, etc. The notification documents may also be sent to various processing devices, such as terminal devices available to personnel in Japan or other foreign countries, local governments, schools, workplaces, and other institutions that will ultimately receive the notification documents, or server devices managed by these institutions. An example of a notification document generated in this second process will be described later. This completes the processing sequence.

[0057] 5. Processing Flow Executed by Server Device 100 (1) First Processing for Outputting Notification Document Fig. 5 is a diagram showing a processing flow executed by server device 100 according to an embodiment of the present disclosure. Specifically, Fig. 5 is a diagram showing a processing flow executed by server device 100 in the first processing for outputting notification document in S21 to S27 of the processing sequence of Fig. 4. This processing flow is mainly performed by processor 111 of server device 100 reading and executing a program stored in memory 112.

[0058] 5, the processor 111 receives a request for determining the possibility of the subject having one or more diseases, along with the subject ID information of the subject selected as the subject of determination, from the terminal device 300 via the communication interface 113 (S111). Furthermore, the medical interview information and findings information entered by the user in the terminal device 300 or the like are stored in association with the subject ID information in the subject management table. Therefore, based on the received subject ID information, the processor 111 references the medical interview information and findings information in the subject management table and reads out the medical interview information and findings information associated with the subject ID information of the subject (S112 and S113). Based on the same received subject ID information, the processor 111 references the subject image in the subject management table and reads out the subject image associated with the subject ID information of the subject (S114).

[0059] Next, the processor 111 executes a process of determining the possibility of contracting a predetermined disease using the readout medical interview information, finding information, and subject image (S115).

[0060] Here, one example of the above-mentioned determination process is to input this information into a trained determination model as shown below and make a determination. However, it is not limited to this processing method, and any processing method can be adopted, such as a processing method in which a determination is made based on the degree of coincidence with an image showing the diseased state by image analysis processing.

[0061] Fig. 6 is a diagram showing a process flow related to generation of a trained model according to an embodiment of the present disclosure. Specifically, Fig. 6 is a diagram showing a process flow related to generation of a trained determination model used in the determination process of S115 in Fig. 5. This process flow may be executed by the processor 111 of the server device 100 or by a processor of another device.

[0062] 6 , the processor 111 executes a step of acquiring a training subject image including at least a portion of the pharynx (S211). The processor 111 also executes a step of acquiring training interview information and findings information previously stored in association with subject ID information of the subject who is the subject of the subject image (S211). Next, the processor 111 executes a processing step of assigning a correct label to the subject who is the subject of the subject image based on the results of a test for a disease such as influenza or a diagnosis by a medical professional (S212). For example, the processor 111 outputs the reporting criteria information shown in FIG. 3B and the medical professional or the like performs a test or diagnosis in accordance with the output reporting criteria information (e.g., the results of a rapid influenza test using immunochromatography, a PCR test, or a virus isolation and culture test). The correct label is acquired, for example, by the processor 111 outputting the reporting criteria information shown in FIG. 3B and the medical professional or the like performing a test or diagnosis in accordance with the output reporting criteria information.

[0063] The processor 111 then executes a step of storing the assigned correct label information as judgment result information for learning in association with the subject image, the medical interview information, and the findings information (S213). Note that although the subject image itself is used here, feature amounts obtained from the judgment image may also be used. Furthermore, the subject image may be the image data itself captured by the imaging device 200, or may be image data after image processing such as sharpening has been performed on the image data.

[0064] Once the subject image, medical interview information, and findings information for training, and the associated correct label information are obtained, the processor 111 executes a step of performing machine learning of a disease prevalence determination pattern using these information (S214). For example, the machine learning is performed by providing these sets of information to a neural network combining neurons, and repeatedly learning while adjusting the parameters of each neuron so that the output from the neural network is the same as the correct label information. Then, a step of acquiring a trained determination model is executed (S215). The acquired trained determination model may be stored in the memory 112 of the server device 100 or in another device connected to the server device 100 via a wired or wireless network.

[0065] Naturally, the processing system 1 can also determine the possibility of contracting a plurality of other diseases (see FIG. 3B ). FIG. 6 shows the process for generating a model for determining the possibility of contracting influenza. However, for diseases other than influenza, a trained determination model can be generated for each disease by training the combination of the training subject images prepared as described above and the correct labels obtained from the test results and the diagnosis results of medical professionals.

[0066] When determining the possibility of contracting multiple diseases, it is possible to generate a trained judgment model for each disease as described above, but it is also possible to determine the possibility of contracting multiple diseases at once by providing test results and diagnostic results for multiple diseases as correct labels.

[0067] 5, the judgment process in S115 is performed, for example, by using the trained judgment model shown in Fig. 6. That is, the processor 111 reads the medical interview information, finding information, and subject image acquired in S112 to S114 from the memory 112 and provides them as input to the trained judgment model. Then, the processor 111 acquires, from the trained judgment model, judgment result information indicating the possibility of suffering from a predetermined disease based on the input information.

[0068] Specifically, as shown in the disease management table in Fig. 3B, notification documents are associated with each of a plurality of diseases in the processing system 1. Therefore, the processor 111 provides the acquired medical interview information, finding information, and subject image as input to each of the trained judgment models for each disease generated in Fig. 6. As a result, the processor 111 acquires the judgment result of the possibility of contracting each disease from each trained judgment model as judgment result information.

[0069] In addition, if one trained judgment model is capable of determining the possibility of contracting multiple diseases, the processor 111 can obtain the judgment results of the possibility of contracting multiple diseases from the trained judgment model.

[0070] The processor 111 stores the determination result information indicating the result of the possibility of contracting each disease obtained by the determination process in the subject management table in association with the subject ID information. The processor 111 executes a notification document generation process for generating a notification document based on the stored determination result information (S116).

[0071] Here, the notification document generation process is performed by the processor 111 by referencing the disease management table. Fig. 7A is a diagram showing a processing flow executed by the server device 100 according to an embodiment of the present disclosure. Specifically, Fig. 7A is a diagram showing a processing flow executed by the processor 111 in the notification document generation process. This processing flow is mainly performed by the processor 111 of the server device 100 by reading and executing a program stored in the memory 112.

[0072] 7A , the processor 111, based on the subject ID information, references the determination result information indicating the possibility of each disease stored in the subject management table stored in the memory 112 (S311). The processor 111 determines whether there is a possibility of disease among the determination results for each disease, i.e., whether there is a disease that exceeds the reporting criteria (S312), and extracts the diseases that may be present. If the processor 111 determines that there is a disease that may be present, it references the disease management table based on the disease and reads out form information associated with the disease. The processor 111 selects the notification document identified by the read out form information (S313).

[0073] Then, for the notification document selected corresponding to the assessment result information, the processor 111 refers to the subject management table based on the subject ID information, and reads out, as necessary, the medical interview information, findings information, subject attribute information, assessment result information, assessment date information, and diagnostic record information associated with the subject ID information (S314).The processor 111 also refers to the medical staff management table based on the ID information of the user operating the terminal device 300 (for example, medical staff ID information), and reads out the medical institution information, location information, contact information, name information, and other information associated with the ID information (S315).

[0074] The processor 111 then automatically inputs information into each input field of the selected notification document based on the various information read in S314 and S315, and generates a notification document with this information input (S316). In this way, the processor 111 generates a notification document corresponding to the disease determined to be a possible disease. Note that if it is determined in S312 that there is no possible disease, the processing flow ends.

[0075] 5, when a notification document corresponding to a disease determined to be a possible disease in the notification document generation process of S116 is generated, the processor 111 stores the notification document in the memory 112. Then, the processor 111 outputs (transmits) the determination result information stored in the determination process of S115 and the notification document to the terminal device 300 that sent the determination request via the communication interface 115 (S117). This completes the processing flow of the first process for outputting the notification document.

[0076] In this way, in the first process for generating a notification document, the possibility of each disease is determined based on the subject image upon receiving a determination request from the terminal device 300, and a notification document corresponding to the disease determined to be a possible disease based on the determination result can be generated. This allows for efficient determination of the possibility of disease and generation of a notification document. Furthermore, for items that need to be entered into the notification document, various information is read based on the subject ID information, medical professional ID information, etc., and automatically entered. This allows for even more efficient generation of a notification document.

[0077] Although S116 and S117 of FIG. 5 and FIG. 7A illustrate the case where a notification document is generated and transmitted only when there is a possibility of infection, the generation and transmission process may be performed in other cases as well. For example, even if the result of the assessment of the possibility of infection in S312 of FIG. 7A indicates that there is no possibility of infection, the processor 111 may generate a notification document indicating that there is no possibility of infection. That is, the processor 111 performs the process regardless of the result of the assessment of the possibility of infection. By performing the process in this way even when there is a determination of no possibility of infection (i.e., a negative result), each institution can grasp the positive rate and the subject can prove that they are negative. Furthermore, even if the assessment process determines that there is a possibility of infection for a disease, if the disease does not require immediate notification, no notification document is generated. In such a case, the processor 111 transmits only the assessment result information to the terminal device 300 in S117.

[0078] The notification document generated here is sent to the terminal device 300, then printed out via a printer or the like, and ultimately submitted to each institution. However, it does not necessarily have to be submitted to each institution. For example, when a notification document is generated based on the judgment assistance information, a medical professional may subsequently determine that notification is not necessary as a result of a definitive diagnosis. In such a case, although a notification document is generated based on the judgment assistance information, the document is not submitted.

[0079] (2) Second Process of Outputting Notification Document Fig. 7B is a diagram showing a process flow executed by the server device 100 according to an embodiment of the present disclosure. Specifically, Fig. 7B is a diagram showing a process flow executed by the server device 100 in the second process of outputting the notification document in S41 to S45 of the process sequence of Fig. 4. This process flow is mainly performed by the processor 111 of the server device 100 reading and executing a program stored in the memory 112.

[0080] 7B , the processor 111 receives a request for creating a notification document for reporting trends from the terminal device 300 via the communication interface 113 (S411). Here, in addition to notifications that must be submitted when an infection is confirmed (i.e., the notification document generated by the first process), there are also notifications that must be submitted for a certain period of time, a certain number of cases, or at any timing specified by a user, etc. Therefore, for example, the request is generated when the processor 311 of the terminal device 300 receives, via the input interface 313, instructions for the trend notification document on a notification document creation menu screen, etc., and the selection of the disease for which the notification document is to be created. Alternatively, the request may be generated in response to various events, such as: The processor 111 counts time using a timer and detects that a certain period of time has passed since the last notification document was generated; The processor 111 detects that a predetermined date for each disease (e.g., every Monday, the first Monday of each month, etc.) has arrived; or The processor 111 detects that a predetermined number of infections for each disease has been reached. In the following, as an example, a case will be described in which a notification document for reporting the trend of influenza infections over the past week is generated.

[0081] When the processor 111 receives the trend request, it references the assessment result information and assessment date information in the subject management table and extracts multiple subject ID information for which the assessment date information is stored as a date within the past week and the assessment result information is stored as possibly having influenza (S412). The processor 111 then references the disease management table to extract form information associated with influenza and reads the notification document identified by the form information. The processor 111 then references subject attribute information based on the multiple subject ID information identified in S412 in correspondence with the input fields of the read notification document and compiles the trends (S413). Once the trends are compiled, the processor 111 automatically inputs the compile results into each input field and generates a notification document with this information input (S414). In this way, the processor 111 generates a notification document for reporting influenza trends.

[0082] After the notification document is generated, it is stored in the memory 112 by the processor 111 and output (transmitted) to the terminal device 300 via the communication interface 115. The subsequent processing is as described in Fig. 4. This completes the processing flow of the second processing for outputting the notification document.

[0083] In this way, in the second process for generating a notification document, a notification document for reporting the trend of the possibility of contracting a predetermined disease can be efficiently generated based on the determination result information, etc. Furthermore, for items that need to be entered into the notification document, various information is read and automatically entered based on the subject ID information, medical professional ID information, etc. Therefore, the generation of the notification document can be performed even more efficiently.

[0084] (2) Third Process for Outputting Notification Document Fig. 7C is a diagram showing a process flow executed by the server device 100 according to an embodiment of the present disclosure. Specifically, Fig. 7C is a diagram showing a process flow executed by the processor 111 in the process of generating provided information. This process flow is mainly performed by the processor 111 of the server device 100 reading and executing a program stored in the memory 112. In this case, the words "notification document" in Figs. 4 and 5 should be read as "provided information."

[0085] 7C , the processor 111 references the assessment result information stored in the subject management table stored in the memory 112 based on the subject ID information, indicating the possibility of each disease (S511). The processor 111 determines whether or not there is a possibility of disease among the assessment results for each disease, i.e., whether or not there is a disease that exceeds the reporting criteria (S512), and extracts the diseases that may be present. If the processor 111 determines that there is a possible disease, it references the subject management table based on the subject ID information and reads out, as necessary, the medical interview information, findings information, subject attribute information, assessment result information, assessment date information, and diagnostic record information associated with the subject ID information (S513). The processor 111 also references the medical professional management table based on the ID information (e.g., medical professional ID information) of the user operating the terminal device 300 and reads out the medical institution information, location information, contact information, name information, and other information associated with the ID information (S514).

[0086] The processor 111 then associates the determination result information read out in S511 with the information read out in S514 and S515 to generate information to be provided to each institution (S515). The generated information to be provided is stored in the memory 112 in S116 of Fig. 5, and is output (transmitted) via the communication interface 115 to the terminal device 300 that sent the determination request (S117). This completes the processing flow of the third process for outputting the notification document.

[0087] In this way, it is possible to generate the provided information in any data format, rather than a notification document as in the first and second processes. While FIG. 7C illustrates a case in which the provided information is generated and transmitted only when there is a possibility of infection, the generation and transmission processes may be performed in other cases as well. As an example, even if the determination of the possibility of infection in S512 of FIG. 7C indicates that there is no possibility of infection, the processor 111 may generate the provided information indicating that there is no possibility of infection. In other words, the processor 111 performs the process regardless of the result of the determination of the possibility of infection. By performing the process in this way even when there is a determination of no possibility of infection (i.e., a negative result), each institution can grasp the positive rate and the subject can prove that they are negative.

[0088] The provided information generated here is transmitted to the terminal device 300, and then ultimately submitted to each institution from the terminal device 300. However, it does not need to go through the terminal device 300, and may be submitted directly to the terminal device or server device of each institution.

[0089] 6. Specific Examples of Provided Information Figures 8A to 8D are diagrams illustrating examples of provided information according to an embodiment of the present disclosure. Specifically, Figures 8A and 8B illustrate an example of a notification document generated by a first process (S316 in Figure 7A) for outputting a notification document, which is an example of provided information, and Figures 8C and 8D illustrate an example of a notification document generated by a second process (S414 in Figure 7B) for outputting a notification document, which is an example of provided information. Figure 8E illustrates an example of provided information generated by a third process (S515 in Figure 7C).

[0090] 8A shows a notification document 10 corresponding to a disease that has been determined by the processor 111 to be a possible disease. The notification document 10 is intended to be used to notify an institution such as a national or local government of the occurrence of the disease. Therefore, before the form information is read, items such as "Notification of XXXX Occurrence," "To XXX" (the representative of the institution to which the document is to be submitted), and "Disease Name" corresponding to the disease are entered in advance.

[0091] The notification document 10 also includes an input field 13 for the submission date indicating the date on which the notification document 10 was created, an input field 11 for medical professional information indicating the medical professional who prepared the notification document 10, an input field 12 for attribute information of the subject who has been determined to be likely to be infected with the disease, an input field 14 for the symptoms exhibited by the subject, an input field 15 for the diagnostic method performed on the subject and the diagnostic history to date, and an input field 16 for the cause of infection, the route of infection, and the area of ​​infection.

[0092] First, during the generation process, the processor 111 reads the output from a timer and automatically inputs the current date at which the generation process is being performed into the submission date input field 17. The processor 111 references the medical worker management table and extracts medical institution information, location information, contact information, and name information associated with medical worker ID information, thereby inputting data into the medical worker information input field 11. The processor 111 references the subject management table and extracts necessary information from the subject attribute information associated with the subject ID information, thereby inputting data into the subject attribute information input field 12.

[0093] The symptom input field 14 is filled in by the processor 111 referring to the subject management table and extracting necessary information from the interview information and findings information associated with the subject ID information. The diagnostic method input field 15 and the diagnostic history input field 15 are filled in by the processor 111 referring to the subject management table and extracting necessary information from the diagnostic record information associated with the subject ID information.

[0094] In the example of Fig. 8A, no information is entered into the input fields 16 for the cause of infection, route of infection, and area of ​​infection. In such a case, the notification document 10 is generated with the input fields 16 left blank, and any information can be entered by a medical professional or the like via the input interface 313 of the terminal device 300. In this way, the notification document generated by a series of processes does not need to have all input fields automatically filled in.

[0095] 8B shows another example of a notification document generated by the first process (S316 in FIG. 7A) for outputting a notification document. While FIG. 8B shows an example of a notification document for the same disease as FIG. 8A, it is submitted to a different institution (a foreign institution). Before being read out using the form information, notification document 20 already contains information such as a "SEVERE INFLUENZA CASE HISTORY FORM" corresponding to the disease.

[0096] The notification document 20 includes an input field 21 (Patient Information) for inputting subject attribute information, an input field 22 (VACCINATION HISTORY) for inputting vaccination history, an input field 23 (INFLUENZA LABORATORY TESTING INFORMATION) for inputting influenza testing history, an input field 24 (REPORTING AGENCY INFORMATION) for inputting medical institution information associated with medical institution ID information, an input field 25 (SIGNIFICANT PAST MEDICAL HISTORY) for inputting past medical history, and an input field 26 (NOTES) for inputting remarks. 8A, each of these input fields is filled in by processor 111 referencing the subject management table, medical staff management table, etc., and extracting various necessary information. Also, like in FIG. 8A, input field 26 has no information entered in it, and is a field into which any information can be entered by a medical staff, etc.

[0097] In this way, even for the same disease, notification documents can be generated in different formats depending on the institution to which they are submitted.

[0098] Next, Fig. 8C shows an example of a notification document generated in the second process (S414 in Fig. 7B) for outputting a notification document. As explained in Fig. 6, this notification document 30 is used to report, for example, the trend of influenza outbreaks. As shown in Fig. 8C, before the notification document 30 is read using the form information, items such as "trend of outbreaks" corresponding to the disease are entered in advance.

[0099] The notification document 30 also includes an input field 33 for the period to be reported in the notification document 30, an input field 31 for information about the medical institution that prepared the notification document 30, and an input field 32 for statistical information about the incidence trend.

[0100] The processor 111 reads the date the trend request was received and inputs that date and the date calculated backward from that date for which notification is required (e.g., one week) into the period input field 33. The processor 111 references the medical staff management table based on the medical staff ID information of the medical staff using the terminal device 300, and extracts the medical institution information, location information, and contact information associated with the medical staff ID information, and inputs the information into the medical institution information input field 31.

[0101] The processor 111 references the subject management table and inputs statistical information generated from the assessment result information, etc., into the statistical information input field 32. Specifically, the processor 111 references the assessment result information in the subject management table and identifies one or more subject ID information stored as possibly having the disease (influenza) that is the subject of notification. Furthermore, the processor 111 references the assessment date information in the subject management table and further narrows down the subject ID information to one or more subject ID information stored with an assessment date that falls within the period (date) entered in the period input field 33. The processor 111 then references the subject attribute information associated with each of the narrowed-down subject ID information to extract the age and gender of each subject. The processor 111 classifies each extracted subject based on their age and gender and counts the number of subjects that fall into each category. The processor 111 stores the counted number of subjects in the memory 112 and enters that number into the input fields corresponding to age and gender in the notification document 30.

[0102] In the example of Fig. 8C, classification is based on age and sex, but of course classification may also be based on other attributes (e.g., residential area, height, weight, etc.) Also, in the example of Fig. 8C, classification is generally performed in 10-year intervals, but the intervals may be arbitrary.

[0103] 8D shows another example of a notification document generated in the second process (S414 in FIG. 7B) for outputting a notification document. As described in FIG. 6, this notification document 40 is used to report, for example, the trend of influenza outbreaks. As shown in FIG. 8D, before the notification document 40 is read using the form information, fields such as "trend of outbreaks" corresponding to the disease are entered in advance.

[0104] The notification document 40 includes an input field 43 for the period reported in the notification document 40, an input field 41 for information about the medical institution that prepared the notification document 40, and an input field 42 for statistical information on the occurrence trend. Of these, the input field 33 for the period and the input field 32 for the statistical information are input by the processor 111 in the same manner as in FIG. 8C .

[0105] The processor 111 references the subject management table and inputs statistical information generated from the assessment result information, etc., into the statistical information input field 42. Specifically, the processor 111 references the assessment result information in the subject management table to identify one or more subject ID information stored as possibly having the disease (influenza) that is the subject of notification. Furthermore, the processor 111 references the assessment date information in the subject management table to further narrow down the subject ID information to one or more subject ID information stored with an assessment date that falls within the period (date) input into the period input field 43. The processor 111 then references the subject attribute information associated with each of the narrowed down subject ID information to extract the age and gender of each subject, and references the diagnostic record information to extract the diagnosis and treatment details for each subject. Based on the extracted information, the processor 111 inputs the "subject ID," "gender," "age," and "treatment details" into the input field 42 for each subject.

[0106] In this way, it is possible to generate different notification documents for the same disease as shown in Figure 8C. Although not specifically shown, in such cases, multiple form information are stored in advance in a disease management table in association with each disease. Then, for example, when a diagnosis request or trend request is generated, selection information indicating which form information to select based on the user's selection is also generated. The processor 111 then selects form information based on the selection information, thereby selecting the desired notification document.

[0107] Fig. 8E shows an example of the provided information 50 generated by the third process (S515 in Fig. 7C). The provided information 50 stores, in association with the determination result read out in S511 in Fig. 7, subject ID information that identifies the subject for whom the determination was made and medical institution ID information that identifies the medical institution to which the medical professional who made the determination belongs. Although not specifically illustrated in Fig. 8E, various other information stored in the subject management table and the medical professional management table may also be stored.

[0108] Note that the description here assumes that the information to be provided is generated each time a judgment is made for a specific subject. However, if the information to be provided is sent when requested by each institution or at a predetermined frequency, the judgment results of other subjects may be added to the information to be provided shown in Fig. 8E and stored, and the collected information may be generated as the information to be provided.

[0109] As described above, this embodiment can provide a processing system 1 suitable for generating notification documents. In particular, notification documents can be created efficiently because notification documents are generated according to the determination results. Furthermore, information required for notification documents is appropriately entered based on various information stored in the subject management table, etc., so notification documents can be generated even more efficiently.

[0110] 7. Modifications As described above, one embodiment according to the present disclosure has been described based on FIGS. 1 to 8D. However, various modifications can be applied without being limited to those described above. Note that, although each modification will be described below, it is also possible to use each modification in appropriate combination. Furthermore, although details of the modification will be described below, the remaining parts can be implemented in the same manner as the embodiment described with reference to FIGS. 1 to 8D.

[0111] (1) Example of Case Where Possibility of Infection Has Been Eliminated In the above embodiment, the description was given on the premise that a notification is made when the infection of a disease is confirmed. However, this is not limited to this, and the processing system 1 according to the present disclosure can also be suitably applied to a notification document that is made when the possibility of infection has been eliminated.

[0112] FIG. 9 is a diagram conceptually illustrating a disease management table stored in the server device 100 according to an embodiment of the present disclosure. According to FIG. 9 , similar to FIG. 3B , the disease table stores notification criteria information, form information, and the like in association with disease information. In addition to this information, FIG. 9 also stores type information in association with disease information. The "type information" stores two types of information, one for "infection" (which specifies the notification document to be submitted when the disease is confirmed) and the other for "disappearance" (which specifies the notification document to be submitted when the disease is no longer present), in association with each disease information. That is, at least two different notification documents are associated with the same disease, and one notification document can be selected depending on the type.

[0113] 10 is a diagram showing a processing sequence executed by the processing system 1 according to an embodiment of the present disclosure. Specifically, FIG. 10 shows the processing sequence of the third process for outputting a notification document involving the selection of a type shown in FIG. 9.

[0114] 10 , the processor 311 of the terminal device 300 accepts selection of subject information of a subject to be diagnosed via the input interface 313 on a screen displaying a list of subject information of subjects (S51). At this time, although not specifically shown, the terminal device 300 generates subject ID information, medical interview information, and finding information of the subject based on the input by the user, and transmits them to the server device 100 via the communication interface 315. Then, upon receiving the subject ID information, medical interview information, and finding information via the communication interface 115, the server device 100 stores them in a subject management table.

[0115] Next, the processor 311 of the terminal device 300 accepts the user's selection of the type of notification document via the input interface 313 (S52). If the type "disappearance" is selected as the type, the processor 311 of the terminal device 300 accepts the user's selection of the disease for which the user wants to create a notification document via the input interface 313 (S53). Then, the processor 311 of the terminal device 300 transmits to the server device 100 a determination request (T51) including the type information and disease information together with the subject ID information.

[0116] When the server device 100 receives the assessment request, it references the subject image in the subject management table based on the received subject ID information, and reads out the subject image, medical interview information, and findings information associated with the subject ID information. Then, the server device 100 determines the possibility of the subject having the selected disease based on the read subject image, and stores the assessment result in the subject management table (S54).

[0117] Once the determination is made, the server device 100 refers to the disease management table and reads out form information corresponding to the "disappearance" type based on the disease information of the selected disease. The subsequent processes are the same as those in S23 to S27 of FIG. 4.

[0118] Fig. 11 is a diagram showing a processing flow executed by the server device 100 according to an embodiment of the present disclosure. Specifically, Fig. 11 is a diagram showing a processing flow executed by the server device 100 in the third process of outputting the notification document of Fig. 10. This processing flow is mainly performed by the processor 111 of the server device 100 reading and executing a program stored in the memory 112.

[0119] 5, the processor 111 receives a determination request together with subject ID information of the subject selected as the subject to be determined from the terminal device 300 via the communication interface 113 (S511). If the "disappearance" type is selected in S52 of FIG. 10, the determination request includes type information and disease information.

[0120] Next, the processor 111 determines whether the determination request includes the "disappearance" type (S512). If the determination result shows that the "disappearance" type is not included, the process proceeds to "A" and a processing flow similar to that shown in FIG. 5 is executed. On the other hand, if the determination result shows that the "disappearance" type is included, the processor 111 references the medical interview information and findings information in the subject management table based on the received subject ID information, and reads out the medical interview information and findings information associated with the subject ID information of the subject (S513 and S514). The processor 111 also references the subject image in the subject management table based on the received subject ID information, and reads out the subject image associated with the subject ID information of the subject (S515).

[0121] Next, the processor 111 executes a process for determining the possibility of the subject having the disease identified by the disease information included in the determination request, using the readout medical interview information, finding information, and subject image (S516). Note that, for example, if a trained determination model is prepared for each disease, the determination process is performed by inputting the medical interview information, finding information, and subject image into the trained determination model corresponding to the disease. Details of the generation of the determination model and the determination process are as described in FIGS. 4 and 5.

[0122] Next, the processor 111 stores the determination result information indicating the result of the possibility of contracting a specific disease obtained by the determination process in the subject management table in association with the subject ID information. If the processor 111 determines that the possibility of contracting a disease has disappeared based on the stored determination result information, it executes a notification document generation process for generating a notification document (S517). Details of this process will be described in FIG. 12. Note that if it is not determined that the possibility of contracting a disease has disappeared, this process is not executed.

[0123] When a notification document corresponding to a disease for which it has been determined that the possibility of contracting the disease has disappeared is generated, the processor 111 stores the notification document in the memory 112. Then, the processor 111 outputs (transmits) the determination result information stored in the determination process of S516 and the notification document to the terminal device 300 that sent the determination request via the communication interface 115 (S518). This completes the processing flow of the first process for outputting the notification document.

[0124] 12 is a diagram illustrating an example of a notification document according to an embodiment of the present disclosure. Specifically, FIG. 12 illustrates an example of a notification document generated in a third process for outputting a notification document.

[0125] 12 shows a notification document 50 corresponding to a disease for which the processor 111 has determined that the possibility of contracting the disease has been resolved. The notification document 50 is intended to notify an institution such as a school or workplace that the contraction of the disease has been resolved. Therefore, before the form information is read, items corresponding to the disease, such as "XXX Permission Certificate," "To: XXX" (representative of the institution to which the document is to be submitted), and "Disease Name," are entered in advance.

[0126] The notification document 50 also includes an input field 53 for the permission date indicating the date on which the patient was no longer infected with the disease and was permitted to attend school or work, an input field 51 for medical professional information indicating the medical professional who prepared the notification document 50, an input field 52 for subject attribute information of a subject who has been determined to be possibly infected with the disease, an input field 54 for affiliation information indicating the subject's affiliation, and an input field 55 for the subject's past diagnostic history.

[0127] First, during the generation process, the processor 111 reads the output from the timer and automatically inputs the current date at which the generation process is being performed into the permission date input field 53. The processor 111 references the medical worker management table and extracts medical institution information, location information, contact information, and name information associated with medical worker ID information, thereby inputting data into the medical worker information input field 51. The processor 111 references the subject management table and extracts necessary information from the subject attribute information associated with the subject ID information, thereby inputting data into the subject attribute information input field 52.

[0128] The diagnostic history input field 55 is input by the processor 111 by referring to the subject management table and extracting necessary information from the diagnostic record information associated with the subject ID information.

[0129] 12, no information is entered in the entry field 54 for affiliation information. In such a case, the notification document 50 is generated with the entry field 54 left blank, and any information can be entered by the subject or guardian via the input interface 313 of the terminal device 300. In this way, the notification document generated by a series of processes does not need to have all input fields automatically filled in.

[0130] As a result, even if the possibility of contracting the disease has disappeared, notification documents that need to be submitted can be efficiently prepared.

[0131] (2) Provided Information In the above embodiment, examples of management institutions include public institutions in Japan or other countries, local governments, schools, workplaces, etc., and examples of provided information include notification documents and other information provided to these public institutions. However, instead of these, a management institution may also be a dispensing pharmacy, which is one of the institutions related to the medical institution that performs the diagnosis. In this case, the server device 100 may generate prescription information as provided information (S23) based on the results of the determination process (S22), and transmit the generated prescription information directly or via the terminal device 300 to the terminal device of the pharmacy staff member.

[0132] (3) Form Information In the above embodiment, the provided information, such as a notification document, is generated by referencing the disease management table and reading form information associated with each disease in accordance with the determination result information indicating the possibility of each disease (S313, etc.). However, instead of this, it is also possible to generate the provided information using a large-scale language model, such as ChatGPT. Specifically, the processor 111 of the server device 100 references the determination result information (or the determination auxiliary information) indicating the possibility of each disease stored in the subject management table stored in the memory 112 and extracts the diseases that may be present. Then, based on input from the user of the terminal device 300, the processor 111 generates a prompt such as "Please generate any provided information based on the determination result information or the determination auxiliary information." When the prompt is generated, the processor 111 reads the determination result information (or the determination auxiliary information) from the subject management table and inputs it together with the prompt into the large-scale language model. Then, the processor 111 obtains the provided information generated by the large-scale language model as output from the large-scale language model.

[0133] In this way, by using a large-scale language model, it becomes possible to generate information to be provided more efficiently.

[0134] (4) Learned Decision Model The learned decision model described in the above embodiment can be generated using a neural network, a convolutional neural network, a multi-layer Herceptron (MLP), a long short term memory (LSTM), a gated recurrent unit (GRU), a graph neural network (GNN), a transformer, or other neural network techniques; a gradient boosting decision tree (GBDT) technique such as Light Gradient Boosting Machine (LightGBM), XGBoost, or CatBoost; ridge regression, logistic regression, support vector regression (SVR), a nearest neighbor method, a decision tree, a regression tree, or a random forest.

[0135] In addition, the determination process described in the above embodiment was performed by inputting the subject image, medical interview information, and findings information into the trained determination model at once. However, for example, it is also possible to input only one of the above information and make a determination. It is also possible to perform ensemble processing based on the determination results obtained by any combination.

[0136] (5) Processing Device In the above embodiment, the server device 100 mainly functions as a processing device and executes the determination process and the notification document generation process. However, this is not limiting, and the terminal device 300 may execute the determination process and the notification document generation process. Furthermore, each process may be distributed among one of the devices, such as the server device 100 executing the determination process and the terminal device 300 executing the notification document generation process.

[0137] (6) Subject Image In the above embodiment, the subject image was an image captured by the imaging device 200 that can be inserted into the oral cavity and capture images of the oral cavity as a subject. However, the subject image is not limited to this, and subject images captured by a CT device, MRI device, X-ray device, ultrasound diagnostic device, endoscopic device, angiography device, or a combination thereof may also be used. Furthermore, the subject image is merely one type of medical information used in the subject image determination process, and medical information measured by other devices such as a blood pressure monitor device or an electrocardiogram device may be used instead of or in combination with the subject image.

[0138] The processes and procedures described herein can be realized not only by those explicitly described in the embodiments, but also by software, hardware, or a combination thereof. Specifically, the processes and procedures described herein can be realized by implementing logic corresponding to the processes in a medium such as an integrated circuit, volatile memory, non-volatile memory, magnetic disk, or optical storage. Furthermore, the processes and procedures described herein can be implemented as computer programs and executed by various computers, including processing devices and server devices.

[0139] Although processes and procedures described herein are described as being performed by a single device, software, component, or module, such processes or procedures may be performed by multiple devices, multiple software, multiple components, and / or multiple modules. Furthermore, although various information described herein is described as being stored in a single memory or storage unit, such information may be stored in multiple memories within a single device or multiple memories distributed across multiple devices. Furthermore, software and hardware elements described herein may be realized by integrating them into fewer components or by decomposing them into more components.

[0140] 1 Processing system 100 Server device 200 Imaging device 300 Terminal device

Claims

1. A processing device having at least one processor, wherein the at least one processor is configured to execute processes for: acquiring a subject image of the subject via a camera configured to photograph the subject of a subject; generating, based on the subject image, at least one of determination result information indicating a determination result of a possibility of suffering from at least one of one or more diseases and determination auxiliary information for assisting in the determination of at least one of the one or more diseases; and generating, based on at least one of the acquired determination result information and determination auxiliary information, information to be provided to one or more management institutions that manage information related to the at least one disease.

2. The processing device according to claim 1, wherein the at least one processor is configured to execute a process for: further acquiring medical interview information of the subject; and generating the information to be provided further based on the acquired medical interview information.

3. The processing device according to claim 1, wherein the provided information is generated in different forms depending on the diagnosed disease.

4. The processing device according to claim 3, wherein the provided information is generated in a different manner for each of the management organizations to which the provided information is provided.

5. A processing device as described in claim 1, wherein the provided information is communicatively connected via a communication network and output to at least one of a subject terminal device available to the subject, a medical institution terminal device available to a medical institution capable of diagnosing the incidence of at least one of the one or more diseases, and a processing device available to the management institution.

6. The processing device according to claim 1, wherein the judgment result is generated by a trained judgment model configured to judge the possibility of suffering from at least one of the one or more diseases.

7. The processing device described in claim 6, wherein the trained judgment model is obtained by machine learning based on previously acquired training subject images and training judgment results of the possibility of suffering from at least one of one or more diseases.

8. The processing device according to claim 1, wherein the subject image is an image including at least a portion of the subject's oral cavity.

9. The treatment device according to claim 1, wherein at least one of the one or more diseases is a disease observed in the oral cavity.

10. The processing device according to claim 1, wherein the provided information is a notification document.

11. The processing device of claim 1, wherein at least one of the one or more diseases is at least one of influenza, coronavirus infection, group A streptococcal pharyngitis, herpangina, measles, rubella, whooping cough, erythema infectiosum, mumps, respiratory syncytial virus infection, adenovirus infection, Epstein-Barr virus infection, hand, foot and mouth disease, diphtheria, tuberculosis, chickenpox, syphilis, chlamydia infection, and gonorrhea.

12. A processing program that, when executed by at least one processor, causes the at least one processor to function as follows: acquire a subject image of the subject via a camera configured to photograph the subject of a subject; generate, based on the subject image, at least one of determination result information indicating a determination result of a possibility of suffering from at least one of one or more diseases and determination auxiliary information for assisting in the determination of at least one of the one or more diseases; and generate, based on at least one of the acquired determination result information and determination auxiliary information, information to be provided to one or more management institutions that manage information related to the at least one disease.

13. A processing method executed by at least one processor, comprising: a step of acquiring a subject image of a subject via a camera configured to capture an image of the subject of a subject; a step of generating, based on the subject image, at least one of determination result information indicating a determination result of a possibility of suffering from at least one of one or more diseases and determination auxiliary information for assisting in the determination of at least one of the one or more diseases; and a step of generating provision information to be provided to one or more management institutions that manage information related to the at least one disease, based on at least one of the acquired determination result information and determination auxiliary information.

14. A processing system including a camera configured to capture an image of a subject in order to determine whether the subject has at least one of one or more diseases, at least one of a subject terminal device configured to be available for use by the subject and at least one of a medical institution terminal device configured to be available for use in a medical institution capable of diagnosing the subject having at least one of the one or more diseases, and a server device communicatively connected to the camera and the at least one terminal device via a communication network, wherein the processing system transmits a subject image of the subject generated by capturing the subject of the subject by the camera to the server device via the communication network, and when the subject image is transmitted to the server device, generates, based on the subject image, at least one of determination result information indicating a determination result of a possibility of the subject having at least one of the one or more diseases and determination auxiliary information for assisting in the determination of the at least one of the one or more diseases, and generates provision information to be provided to one or more management institutions that manage information related to the at least one disease, based on at least one of the acquired determination result information and determination auxiliary information, transmitting the generated provision information to the at least one terminal device via the communication network; and outputting the provision information on the at least one terminal device when the provision information is transmitted to the at least one terminal device.

Images