WO2025013385A1 - プログラム、特定イベント関連表示装置、特定イベント関連表示方法及び記録媒体 - Google Patents

プログラム、特定イベント関連表示装置、特定イベント関連表示方法及び記録媒体 Download PDF

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WO2025013385A1
WO2025013385A1 PCT/JP2024/016978 JP2024016978W WO2025013385A1 WO 2025013385 A1 WO2025013385 A1 WO 2025013385A1 JP 2024016978 W JP2024016978 W JP 2024016978W WO 2025013385 A1 WO2025013385 A1 WO 2025013385A1
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information
prediction information
subject
event
future
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English (en)
French (fr)
Japanese (ja)
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由香里 耕
博典 田中
夏子 田村
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NEC Solution Innovators Ltd
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NEC Solution Innovators Ltd
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data

Definitions

  • the present invention relates to a program, a specific event-related display device, a specific event-related display method, and a recording medium.
  • Patent Document 1 a myocardial infarction prediction model has been published as a tool for understanding future health conditions.
  • the present disclosure therefore aims to provide a program, a specific event-related display device, a specific event-related display method, and a recording medium that enable displays that can improve an individual's awareness of health management.
  • the program comprises: The method includes an information acquisition step, a display screen information generation step, and an information output step,
  • the information acquisition step acquires future prediction information for the subject
  • the subject's future prediction information includes the subject's future mental and physical state prediction information and the subject's future living condition prediction information
  • the subject's future mental and physical condition prediction information includes risk information of a specific event occurring in the future
  • the subject's future life state prediction information includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur
  • the display screen information generating step generates a display screen including occurrence risk information of the specific event, the event occurrence life state prediction information, and the non-event occurrence life state prediction information of the subject
  • the information output step outputs the display screen to a display device
  • the program causes a computer to execute each of the above procedures.
  • the specific event related display device includes: An information acquisition unit, a display screen information generation unit, and an information output unit,
  • the information acquisition unit acquires future prediction information of the subject,
  • the subject's future prediction information includes the subject's future mental and physical state prediction information and the subject's future living condition prediction information,
  • the subject's future mental and physical condition prediction information includes risk information of a specific event occurring in the future,
  • the subject's future life state prediction information includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur
  • the display screen information generation unit generates a display screen including occurrence risk information of the specific event, the event occurrence life state prediction information, and the non-event occurrence life state prediction information of the subject;
  • the information output unit outputs the display screen to a display device.
  • the specific event related display method includes: The method includes an information acquisition step, a display screen information generation step, and an information output step,
  • the information acquiring step acquires future prediction information for the subject,
  • the subject's future prediction information includes the subject's future mental and physical state prediction information and the subject's future living condition prediction information,
  • the subject's future mental and physical condition prediction information includes risk information of a specific event occurring in the future,
  • the subject's future life state prediction information includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur,
  • the display screen information generating step generates a display screen including the specific event occurrence risk information, the event occurrence life state prediction information, and the non-event occurrence life state prediction information for the subject;
  • the information output step outputs the display screen to a display device, Each of the above steps is executed by a computer.
  • the recording medium includes: The method includes an information acquisition step, a display screen information generation step, and an information output step,
  • the information acquisition step acquires future prediction information for the subject
  • the subject's future prediction information includes the subject's future mental and physical state prediction information and the subject's future living condition prediction information
  • the subject's future mental and physical condition prediction information includes risk information of a specific event occurring in the future
  • the subject's future life state prediction information includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur
  • the display screen information generating step generates a display screen including occurrence risk information of the specific event, the event occurrence life state prediction information, and the non-event occurrence life state prediction information of the subject
  • a computer-readable recording medium records a program for causing a computer to execute each of the above procedures.
  • the displayed screen can improve an individual's awareness of health management.
  • FIG. 1 is a flowchart showing an example of a program procedure according to the present disclosure.
  • FIG. 2 is a block diagram showing an example of a configuration of a specific event-related display device according to the present disclosure.
  • FIG. 3 is a block diagram showing an example of a hardware configuration of a specific event-related display device according to the present disclosure.
  • FIG. 4 is a reference diagram showing an example of a display screen in the program according to the present disclosure.
  • FIG. 5 is a reference diagram for explaining an example of display of related information on a display screen in the program according to the present disclosure.
  • FIG. 6 is a reference diagram for explaining an example of display of other related information on the display screen in the program according to the present disclosure.
  • FIG. 7 is a reference diagram for explaining an example of displaying future predicted values regarding test results in the program according to the present disclosure.
  • the program, the specific event-related display device, and the specific event-related display method of the present disclosure will be described.
  • the program of the present disclosure is a program that causes a computer to execute each procedure described below, but may be used as an application of a user terminal or as a server-side program, for example.
  • the information acquisition procedure involves acquiring future prediction information for the subject (S1).
  • the future prediction information for the subject includes prediction information for the subject's future mental and physical state, and prediction information for the subject's future living conditions.
  • the prediction information for the subject's future mental and physical condition includes risk information for the occurrence of a specific event in the future.
  • the specific event is, for example, the onset of a disease.
  • the disease may include, for example, mental illness.
  • the specific event may be, for example, improved physical strength, improved sleep, a sense of happiness, etc., and is not limited to those that are understood as diseases, but broadly includes mental and physical conditions.
  • the risk information is not limited to the possibility of deterioration regarding the specific event in question, but also includes, for example, the possibility of improvement, the possibility of maintaining the status quo, etc.
  • the subject's future living condition prediction information includes event occurrence living condition prediction information and non-event occurrence living condition prediction information.
  • the event occurrence living condition prediction information is information relating to a prediction of the living condition in the case where the specific event occurs in the mental and physical condition prediction information.
  • the non-event occurrence living condition prediction information is information relating to a prediction of the living condition in the case where the specific event does not occur in the mental and physical condition prediction information.
  • the living condition is, for example, economic burden, restrictions on behavior, the need for hospitalization, etc.
  • the living condition is not limited to this, and may also include, for example, changes in physical condition, such as difficulty reading letters or hearing voices, and impacts on life, etc.
  • the event occurrence life state prediction information is specifically a simulation of a life state assuming the occurrence of the specific event, such as, for example, how much hospitalization costs will be required if a disease develops, how long it will take to cure the disease, and what changes in physical condition will occur, such as blurred vision.
  • the contents of the event occurrence life state prediction information are not limited to the above examples.
  • the non-event occurrence life state prediction information is, for example, information that can be compared with the event occurrence life state prediction information, and is information about a life state that would be possible if the disease did not develop.
  • the non-event occurrence life state prediction information is, for example, a simulation of a life state assuming the occurrence of the specific event, such as, if there is the money and time required for the treatment of the disease, how many times a high-class seafood hotpot can be ordered, how many times a kabuki performance can be watched in a special seat, and how many world heritage sites can be visited in Japan.
  • the contents of the non-event occurrence life state prediction information are not limited to the above examples, as in the case of the event occurrence life state prediction information.
  • the information predicting the future living condition of the subject is, for example, information that can compare the disadvantages of developing a disease with what would be specifically possible if the disadvantages did not exist.
  • the presentation of the information related to the comparison motivates the subject to proactively engage in health management.
  • the target is a deterioration in health, but the specific event is not limited to this.
  • the specific event may be, for example, an event targeting recovery of health.
  • the information related to the comparison is information that can compare the disadvantages of not continuing the current lifestyle with what would be specifically possible if the disadvantages did not exist.
  • the presentation of the information related to the comparison encourages the subject to continue the previous lifestyle and motivates the subject to proactively engage in health management.
  • the information acquisition method of the information acquisition procedure may be, for example, information stored in an external database, information generated by an external device, or the like, acquired from an external device. Furthermore, the generation of the acquired information may be configured as an integral part of the program of the present disclosure.
  • the information acquired by the information acquisition procedure is linked to the identification information of the subject and stored in an external database.
  • the information acquisition procedure may, for example, acquire the identification information of the subject, and extract and acquire future prediction information of the subject that matches the identification information of the subject from an external database.
  • the information acquisition procedure may, for example, be a method of acquiring information such as test values that are necessary for information generation when generating prediction information of the subject's future mental and physical state in an external device, transmitting the information to the external device, and receiving the information from the external device.
  • the information acquisition procedure may, for example, be a method of acquiring information such as test values that are necessary for information generation when generating prediction information of the subject's future mental and physical state in the program, by generating information such as test values that are necessary for information generation.
  • the display screen information generation step generates a display screen including the specific event occurrence risk information, the event occurrence life state prediction information, and the non-event occurrence life state prediction information for the subject (S2). By displaying each piece of information in association with each other, the pieces of information can be compared and confirmed. This can improve awareness of personal health management.
  • the information output procedure outputs the display screen to a display device (S3).
  • the display device displays the display screen on, for example, a dedicated monitor in a hospital, a personal computer used by a testing institution, etc.
  • the information output procedure is not limited to this, and for example, the display screen may be printed and output, output to an external database, or transmitted to a mobile terminal of the subject via a telecommunications line and displayed on the mobile terminal. In this way, the output method by the information output procedure can be any appropriate method.
  • FIG. 2 is a block diagram showing an example of the configuration of a specific event-related display device according to the present disclosure.
  • this device includes an information acquisition unit 11, a display screen information generation unit 12, and an information output unit 13.
  • this device may include, for example, an input unit, an output unit, a display unit, and/or a storage unit.
  • This device may be, for example, a single device including each of the above-mentioned parts, or each of the above-mentioned parts may be a device that can be connected via a communication line network. Furthermore, this device can be connected to an external device described later via the communication line network.
  • the communication line network is not particularly limited and can be a known network, for example, wired or wireless. Examples of the communication line network include the Internet line, WWW (World Wide Web), telephone line, LAN (Local Area Network), SAN (Storage Area Network), DTN (Delay Tolerant Networking), LPWA (Low Power Wide Area), L5G (Local 5G), etc.
  • wireless communication examples include Wi-Fi (registered trademark), Bluetooth (registered trademark), local 5G, LPWA, etc.
  • the wireless communication may be in the form of direct communication between the devices (Ad Hoc communication), infrastructure communication, indirect communication via an access point, etc.
  • the device may be incorporated in a server as a system, for example.
  • the device may also be a personal computer (PC, for example, desktop or notebook type), smartphone, tablet terminal, etc., in which the program disclosed herein is installed.
  • the device may be in the form of cloud computing or edge computing, for example, in which at least one of the parts is on a server and the other parts are on a terminal.
  • FIG. 3 is a block diagram showing an example of the hardware configuration of the device.
  • the device includes, for example, a central processing unit (CPU, GPU, etc.) 101, memory 102, bus 103, storage device 104, input device 105, output device 106, communication device 107, etc. Each part of the device is connected to each other via the bus 103 and their respective interfaces (I/F).
  • CPU central processing unit
  • GPU GPU
  • I/F interfaces
  • the central processing unit 101 works in conjunction with other components via a controller (system controller, I/O controller, etc.) and is responsible for overall control of the device.
  • the central processing unit 101 executes, for example, the program disclosed herein and other programs, and also reads and writes various types of information.
  • the central processing unit 101 functions as an information acquisition unit 11, a display screen information generation unit 12, and an information output unit 13.
  • the central processing unit 101 may be equipped with a CPU, a GPU (Graphics Processing Unit), an APU (Accelerated Processing Unit), or other such computing device, or may be equipped with a combination of these, as a computing device.
  • the bus 103 can also be connected to, for example, external devices.
  • the external devices include external storage devices such as external databases, printers, external input devices, external display devices, and external imaging devices.
  • This device can be connected to an external network (the above-mentioned communication line network) by, for example, a communication device 107 connected to the bus 103, and can also be connected to other devices via the external network.
  • the memory 102 may be, for example, a main memory (primary storage device). When the central processing unit 101 performs processing, the memory 102 reads various operating programs, such as the program of the present disclosure, stored in the storage device 104 described below, and the central processing unit 101 receives data from the memory 102 and executes the program.
  • the main memory may be, for example, a RAM (random access memory).
  • the memory 102 may also be, for example, a ROM (read only memory).
  • the storage device 104 is also referred to as an auxiliary storage device, for example, in contrast to the main memory (primary storage device). As described above, the storage device 104 stores operating programs including the program of the present disclosure.
  • the storage device 104 may be, for example, a combination of a recording medium and a drive that reads and writes from the recording medium.
  • the recording medium is not particularly limited and may be, for example, an internal or external type, such as a HD (hard disk), CD-ROM, CD-R, CD-RW, MO, DVD, flash memory, memory card, etc.
  • the storage device 104 may be, for example, a hard disk drive (HDD) in which the recording medium and the drive are integrated, or a solid state drive (SSD).
  • HDD hard disk drive
  • SSD solid state drive
  • the memory 102 and storage device 104 can also store various information such as log information, information acquired from an external database (not shown) or an external device, information generated by this device, and information used by this device when executing processing.
  • the memory 102 and storage device 104 may store information, etc. Note that at least a portion of the information may be stored, for example, in an external server other than the memory 102 and storage device 104, or may be stored in a distributed manner across multiple terminals using blockchain technology, etc.
  • the present device further includes, for example, an input device 105 and an output device 106.
  • the input device 105 include pointing devices such as a touch panel, track pad, and mouse; a keyboard; imaging means such as a camera and scanner; card readers such as an IC card reader and a magnetic card reader; and audio input means such as a microphone.
  • the output device 106 include display devices such as an LED display and a liquid crystal display; audio output devices such as a speaker; and a printer.
  • the input device 105 and the output device 106 are configured separately, but the input device 105 and the output device 106 may be configured as an integrated device, such as a touch panel display.
  • the specific event-related display method of this embodiment can use the description in the program of this embodiment.
  • the specific event-related display method of this embodiment is a method implemented by replacing each "procedure" in the program of this embodiment with a "step".
  • the specific event-related display method of this embodiment includes an information acquisition step, a display screen information generation step, and an information output step.
  • the specific event-related display method of this embodiment can be implemented, for example, using the device of FIG. 2 or FIG. 3. Note that the specific event-related display method of this embodiment is not limited to the use of the device of FIG. 2 or FIG. 3.
  • the information acquisition procedure (S1), display screen information generation procedure (S2), and information output procedure (S3) in the program of this embodiment are the same as those in the first embodiment.
  • the prediction information of the subject's future mental and physical condition acquired in the information acquisition procedure includes risk information of the occurrence of a specific event in the future, as described above.
  • the specific event includes the onset of a specific disease.
  • the specific disease is, for example, diabetes, alcoholic liver disease, hepatic fibrosis, liver cirrhosis, hypertension, kidney disease, etc., but is not limited to such physical diseases.
  • the disease may include, for example, mental illness.
  • the risk information is not limited to the risk of onset of a specific disease, and may include, for example, the possibility of improvement of a specific disease, the possibility of maintaining the current state, etc.
  • the subject's future living state prediction information includes event occurrence living state prediction information and non-event occurrence living state prediction information.
  • the event occurrence living state prediction information includes occurrence living state prediction information of the specific disease.
  • the occurrence living state prediction information is information regarding a prediction of the living state in the event that the specific disease develops.
  • the non-event occurrence living state prediction information includes non-occurrence living state prediction information of the specific disease.
  • the non-development living state prediction information is information regarding a prediction of the living state in the event that the specific disease does not develop. Good too.
  • the onset life prediction information may include cost information, period information, and symptom information.
  • the cost information is cost information for dealing with the onset of the specific disease, and is, for example, information on how much hospitalization costs will be required if the specific disease develops.
  • the cost information is not limited to this, and may include, for example, costs required in relation to the specific disease, such as hospital visits, medicine costs, transportation costs, and equipment costs.
  • the period information is time period information for dealing with the onset of the specific disease, and is, for example, information on how much hospitalization costs will be required if the specific disease develops.
  • the period information is not limited to this, and may broadly include, for example, the period until complete recovery, the period required for hospital visits, the frequency of hospital visits, the period spent on the treatment of the specific disease, the degree of restraint, etc.
  • the symptom information is information on the physical and mental symptoms when the specific disease develops, and is, for example, information on what kind of physical changes will occur, such as blurred vision.
  • the symptom information is not limited to this, and may broadly include, for example, information on symptoms, such as blurred vision and numbness in the hands and feet.
  • the specific disease occurrence life prediction information is, for example, a simulation of a life state assuming the onset of the specific disease, including cost information, duration information, and symptom information.
  • the non-onset life prediction information includes remuneration information.
  • the remuneration information is information that will be remunerated to the subject if the specific disease does not occur.
  • the remuneration information includes, for example, information on what will be possible if the expenses associated with the specific disease are allocated to other expenses. Therefore, the non-onset life prediction information specifically includes, for example, how many times a high-class seafood hotpot can be ordered, how many times a kabuki performance can be seen in a special seat, how many world heritage sites can be visited in Japan, and the like.
  • the non-onset life prediction information is a simulation of a life state assuming the onset of the specific disease. Note that the onset life prediction information and the non-onset life prediction information are not limited to the above examples.
  • the information predicting the future living condition of the subject is, for example, information that can compare the disadvantages of developing a disease with what would be specifically possible if the disadvantages did not exist. Therefore, the presentation of the information related to the comparison motivates the subject to proactively engage in health management.
  • the specific event is a deterioration in health, but this is not limited to this.
  • the specific event may be, for example, an event that targets recovery of health.
  • the information related to the comparison is information that can compare the disadvantages of not continuing the current lifestyle with what would be specifically possible if the disadvantages did not exist.
  • the presentation of the information related to the comparison encourages the subject to continue the previous lifestyle, and motivates the subject to proactively engage in health management.
  • the information acquisition method of the information acquisition procedure is the same as that of the first embodiment.
  • the future prediction information of the subject is generated by an external device, for example, as described above.
  • the future mental and physical condition prediction information of the subject among the future prediction information of the subject is generated based on the prediction, for example, by predicting the disease development risk based on the disease-related information such as medical record information, health check information, and subject attribute information (gender, age, etc.).
  • the disease development risk is predicted, for example, using a machine learning prediction model.
  • the disease development risk may be predicted using a rule-based prediction device.
  • future test values may be predicted for test values, etc., which are information for the prediction.
  • the disease development risk may be predicted using the predicted test values.
  • the prediction of the future mental and physical condition prediction information of the subject may be made, for example, by using either AI or a rule-based prediction device.
  • the future living condition prediction information of the subject is stored in an external database, for example, linked to the contents of the disease, but may also be generated using a generation device that generates the information according to the contents of the test values, the disease development risk, etc.
  • the display screen information generating procedure generates a display screen as in S2 described above.
  • FIG. 4 shows an example of the display screen in the program of the present disclosure. Note that FIG. 4 is an example, and the items, configuration, arrangement, etc. of the display screen are not limited to this.
  • the selected disease name 201 and disease development risk 202 are displayed at the top of the display screen 200, and a simulation 203 of the future living condition is arranged below the disease development risk 202.
  • summary information 204 of all diseases is displayed below the simulation.
  • the summary information 204 displays the disease name and disease development risk of each disease.
  • the disease name 201 and disease development risk 202 related to the selected disease are displayed at the top.
  • the simulation 203 arranged in the center is switched to one corresponding to the selected disease.
  • the simulation 203 displays a simulation in the case where a disease develops (event occurrence living condition prediction information) on the left side, and a simulation in the case where a disease does not develop (non-event occurrence living condition prediction information) on the right side.
  • the display described above allows the subject to check at a glance which diseases may develop, the risk of developing the disease, and the difference in living conditions between when the disease develops and when it does not.
  • the subject can check the difference in living conditions between when the disease develops and when it does not develop, while comparing it with the risk of developing the disease.
  • the display screen information generation step generates, for example, a display screen as described above, based on the future prediction information for the subject acquired by the information acquisition step.
  • the configuration of the specific event-related display device in this embodiment is the same as in embodiment 1.
  • the specific event-related display device includes an information acquisition unit 11, a display screen information generation unit 12, and an information output unit 13.
  • the steps of the specific event-related display method in this embodiment are the same as in embodiment 1.
  • the specific event-related display method includes an information acquisition step, a display screen information generation step, and an information output step.
  • the information acquisition procedure (S1), display screen information generation procedure (S2), and information output procedure (S3) in the program of this embodiment are the same as those in the first embodiment.
  • the information acquisition procedure (S1) event-related information is acquired
  • the display screen information generation procedure (S2) the display screen including the event-related information is generated.
  • the event-related information is information related to a specific event, for example, information on a recommended test.
  • the event-related information is not limited to this, and may include information to be displayed in association with the event, such as lifestyle habits for improving health, trivia information, etc.
  • the method of acquiring information is the same as in the case of acquiring future prediction information for the subject in other embodiments.
  • the event-related information may be acquired from an external database, may be acquired as information generated by an external device, or may be configured to be generated by the present program. For example, if the event-related information is a recommended test, it may be generated in conjunction with a prediction of the subject's risk of developing a specific disease. In this way, the information acquisition procedure may acquire the event-related information related to the specific event.
  • the subject's future prediction information acquired in the information acquisition procedure may include one or more pieces of future mental and physical test result prediction information for the subject.
  • the event-related information may include, for example, actual values such as test values of the subject, or may acquire predicted test values based on actual values such as test values.
  • the mental and physical test result prediction information is, for example, future test values predicted based on test values obtained in a health check or the like of the subject.
  • the mental and physical test result prediction information is, for example, weight, blood pressure, cholesterol value, etc., but is not limited thereto, and may be, for example, mental test values, and the content is not limited thereto.
  • the mental and physical test result prediction information may also be mental and physical test result prediction information predicted if the subject continues living for a certain period of time.
  • the mental and physical test result prediction information is not limited, but may be, for example, a prediction assuming that the current lifestyle is continued for three years, and the duration is not limited to three years and may be set separately, and the conditions for prediction may be
  • the display screen information generating procedure (S2) generates the display screen including the event-related information.
  • Figures 5 and 6 are reference diagrams showing an example of the display of the event-related information.
  • the "relevant optional examination” in Figure 5 is information on examinations corresponding to the risk of developing a disease. This display allows the user to understand what examinations are necessary, and can be used for health management. The presence or absence of display of recommended examinations, items, display method, arrangement, etc. may be set arbitrarily according to the actual situation.
  • Figure 6 shows a display of a lifestyle history. By checking the history, the relationship between a specific disease and lifestyle habits, etc. can be understood. The display of lifestyle habits may also be set arbitrarily according to the actual situation.
  • the event-related information is not limited to the above-mentioned examples, and is not limited to information related to a specific disease, and may be set arbitrarily according to the actual situation.
  • Figure 7 shows an example of a display of mental and physical examination result prediction information. In Figure 7, the information is displayed as a line graph, but the display method, etc. is not limited to this and may be any method.
  • the configuration of the specific event-related display device in this embodiment is the same as in embodiment 1.
  • the specific event-related display device includes an information acquisition unit 11, a display screen information generation unit 12, and an information output unit 13.
  • the steps of the specific event-related display method in this embodiment are the same as in embodiment 1.
  • the specific event-related display method includes an information acquisition step, a display screen information generation step, and an information output step.
  • the program of the present disclosure may be recorded, for example, in a computer-readable recording medium.
  • the recording medium is, for example, a non-transitory computer-readable storage medium.
  • the recording medium is not particularly limited, and may be, for example, a random access memory (RAM), a read-only memory (ROM), a hard disk (HD), a flash memory (for example, a USB flash memory, an SD/SDHC card, etc.), an optical disk (for example, a CD-R/CD-RW, a DVD-R/DVD-RW, a BD-R/BD-RE, etc.), a magneto-optical disk (MO), a floppy (registered trademark) disk (FD), etc.
  • RAM random access memory
  • ROM read-only memory
  • HD hard disk
  • flash memory for example, a USB flash memory, an SD/SDHC card, etc.
  • an optical disk for example, a CD-R/CD-RW, a DVD-R/DVD-RW,
  • the program of this embodiment may be, for example, distributed from an external computer.
  • the "distribution" may be, for example, distribution via a communication line network or distribution via a device connected by wire.
  • the program of this embodiment may be installed and executed in the device to which it is distributed, or may be executed without being installed.
  • the method includes an information acquisition step, a display screen information generation step, and an information output step,
  • the information acquisition step acquires future prediction information for the subject
  • the subject's future prediction information includes the subject's future mental and physical state prediction information and the subject's future living condition prediction information
  • the subject's future mental and physical condition prediction information includes risk information of a specific event occurring in the future
  • the future life state prediction information of the subject includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur
  • the display screen information generating step generates a display screen including occurrence risk information of the specific event, the event occurrence life state prediction information, and the non-event occurrence life state prediction information for the subject
  • the information output step outputs the display screen to a display device;
  • the specific event includes the onset of a specific disease;
  • the event occurrence life state prediction information includes the specific disease onset life state prediction information,
  • the non-event occurrence life state prediction information includes non-onset life prediction information of the specific disease, 2.
  • the specific disease onset life expectancy prediction information includes cost information, period information, and symptom information,
  • the cost information is cost information for responding to the onset of the specific disease
  • the period information is period information for responding to the onset of the specific disease
  • the symptom information is information on mental and physical symptoms when the specific disease develops
  • the specific disease-free life prediction information includes remuneration information,
  • the remuneration information is information that will be a remuneration for the subject if the specific disease does not occur.
  • the subject's future prediction information includes prediction information of one or more future psychophysical test results of the subject; the display screen information generating step generates the display screen including the mental and physical examination result prediction information.
  • the program according to claim 1. (Appendix 6)
  • the mental and physical examination result prediction information is mental and physical examination result prediction information that is expected if the subject continues living in the subject's life for a certain period of time. 6.
  • the information acquisition unit acquires future prediction information of the subject,
  • the subject's future prediction information includes the subject's future mental and physical state prediction information and the subject's future living condition prediction information,
  • the subject's future mental and physical condition prediction information includes risk information of a specific event occurring in the future,
  • the future life state prediction information of the subject includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur
  • the display screen information generation unit generates a display screen including occurrence risk information of the specific event, the event occurrence life state prediction information, and the non-event occurrence life state prediction information of the subject;
  • the information output unit outputs the display screen to a display device.
  • the subject's future prediction information includes prediction information of one or more future psychophysical test results of the subject; the display screen information generating unit generates the display screen including the mental and physical examination result prediction information.
  • the event-related display device of claim 7. The mental and physical examination result prediction information is mental and physical examination result prediction information that is expected if the subject continues living in the subject's life for a certain period of time. 12. The event-related display device of claim 11.
  • the method includes an information acquisition step, a display screen information generation step, and an information output step,
  • the information acquiring step acquires future prediction information for the subject
  • the subject's future prediction information includes the subject's future mental and physical state prediction information and the subject's future living condition prediction information
  • the subject's future mental and physical condition prediction information includes risk information of a specific event occurring in the future
  • the future life state prediction information of the subject includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur
  • the display screen information generating step generates a display screen including the specific event occurrence risk information, the event occurrence life state prediction information, and the non-event occurrence life state prediction information for the subject;
  • the information output step outputs the display screen to a display device, Each of the steps is executed by a computer.
  • the specific event includes the onset of a specific disease;
  • the event occurrence life state prediction information includes the specific disease onset life state prediction information,
  • the non-event occurrence life state prediction information includes non-onset life prediction information of the specific disease, 14.
  • the specific disease onset life expectancy prediction information includes cost information, period information, and symptom information
  • the cost information is cost information for responding to the onset of the specific disease
  • the period information is period information for responding to the onset of the specific disease
  • the symptom information is information on mental and physical symptoms when the specific disease develops
  • the specific disease-free life prediction information includes remuneration information
  • the remuneration information is information that will be a remuneration for the subject if the specific disease does not occur.
  • the information acquiring step acquires event-related information related to the specific event
  • the display screen information generating step generates the display screen including the event-related information. 14.
  • the method for displaying specific event-related information as described in claim 13. The subject's future prediction information includes prediction information of one or more future psychophysical test results of the subject; the display screen information generating step generates the display screen including the mental and physical examination result prediction information. 14. The method for displaying specific event-related information as described in claim 13. (Appendix 18) The mental and physical examination result prediction information is mental and physical examination result prediction information that is expected if the subject continues living in the subject's life for a certain period of time. 18. The method for displaying specific event-related information as described in claim 17.
  • the method includes an information acquisition step, a display screen information generation step, and an information output step,
  • the information acquisition step acquires future prediction information for the subject
  • the subject's future prediction information includes the subject's future mental and physical state prediction information and the subject's future living condition prediction information
  • the subject's future mental and physical condition prediction information includes risk information of a specific event occurring in the future
  • the future life state prediction information of the subject includes, in the mental and physical state prediction information, event occurrence life state prediction information when the specific event occurs, and non-event occurrence life state prediction information when the specific event does not occur
  • the display screen information generating step generates a display screen including occurrence risk information of the specific event, the event occurrence life state prediction information, and the non-event occurrence life state prediction information of the subject;
  • a computer-readable recording medium having recorded thereon a program for causing a computer to execute each of the above procedures.
  • the specific event includes the onset of a specific disease;
  • the event occurrence life state prediction information includes the specific disease onset life state prediction information,
  • the non-event occurrence life state prediction information includes non-onset life prediction information of the specific disease, 20.
  • the subject's future prediction information includes prediction information of one or more future psychophysical test results of the subject; the display screen information generating step generates the display screen including the mental and physical examination result prediction information.
  • the recording medium according to claim 19. (Appendix 24)
  • the mental and physical examination result prediction information is mental and physical examination result prediction information that is expected if the subject continues living in the subject's life for a certain period of time. 24. The recording medium according to claim 23.
  • disease prediction information for multiple body parts of a subject of disease prediction can be obtained from disease-related information obtained from health checkups, etc.
  • This allows the subject of disease prediction to have a comprehensive understanding of their health condition, and the present invention is useful for appropriate health management of the subject of disease prediction.

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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006163932A (ja) * 2004-12-08 2006-06-22 Ntt Data Corp 医療情報処理装置、および、プログラム
JP2011051276A (ja) * 2009-09-03 2011-03-17 Seiko Epson Corp 液体吐出装置、及び、その制御方法
JP2022094751A (ja) * 2020-12-15 2022-06-27 Kddi株式会社 介入効果推定装置及び介入効果推定方法
JP2022184475A (ja) 2021-06-01 2022-12-13 京都府公立大学法人 予測装置、予測方法、予測プログラム、予測システム
JP2023115108A (ja) 2012-05-24 2023-08-18 マサチューセッツ インスティテュート オブ テクノロジー 液体含浸表面を有する装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006163932A (ja) * 2004-12-08 2006-06-22 Ntt Data Corp 医療情報処理装置、および、プログラム
JP2011051276A (ja) * 2009-09-03 2011-03-17 Seiko Epson Corp 液体吐出装置、及び、その制御方法
JP2023115108A (ja) 2012-05-24 2023-08-18 マサチューセッツ インスティテュート オブ テクノロジー 液体含浸表面を有する装置
JP2022094751A (ja) * 2020-12-15 2022-06-27 Kddi株式会社 介入効果推定装置及び介入効果推定方法
JP2022184475A (ja) 2021-06-01 2022-12-13 京都府公立大学法人 予測装置、予測方法、予測プログラム、予測システム

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