Information processing device, information processing method and information processing program

Abstract

To provide an information processing device, an information processing method and an information processing program with which it is possible to present a place of service business that corresponds to the prediction of a user's future life condition.SOLUTION: An information processing device comprises: a storage unit for storing business place information regarding a place of business that provides a nursing-care service; a first acquisition unit for acquiring condition information regarding a user's condition; a prediction unit for predicting the user's future life condition on the basis of a learning model having been trained in advance using one or a plurality of contents regarding the nursing-care service and the user's condition regarding life corresponding to the contents and the condition information acquired by the first acquisition unit; a second acquisition unit for acquiring a place of business that corresponds to the user's life condition predicted by the prediction unit, on the basis of the business place information stored in the storage unit; and an output control unit for exercising control so as to output the user's future life condition predicted by the prediction unit and the place of business acquired by the second acquisition unit.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to an information processing apparatus, an information processing method, and an information processing program.

Background Art

[0002] When a user receives a care service, a care plan is created. The technique described in Patent Document 1 creates a care plan by obtaining the type of care service to be applied to the user based on the user's health condition when creating the care plan.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] As described above, the technique described in Patent Document 1 calculates the type of care service to be applied to the user and creates a care plan. However, when providing a care service to a user, the user needs to select one from a plurality of service providers. Since each service provider has its own characteristics in the services provided to the user, the user needs to select a service provider that can execute the care plan, but it has been difficult to grasp the characteristics and select an appropriate service provider.

[0005] An object of the present invention is to provide an information processing apparatus, an information processing method, and an information processing program that can present a service provider according to a prediction of a user's future living situation.

Means for Solving the Problems

[0006] An information processing apparatus according to one aspect includes a storage unit that stores business information regarding a business office that provides care services, a first acquisition unit that acquires situation information regarding the user's situation, a learning model that has learned in advance one or more contents regarding care services and a situation regarding life according to the content, a prediction unit that predicts the user's future life situation based on the situation information acquired by the first acquisition unit, a second acquisition unit that acquires a business office corresponding to the user's life situation predicted by the prediction unit based on the business information stored in the storage unit, and an output control unit that controls to output the user's future life situation predicted by the prediction unit and the business office acquired by the second acquisition unit.

[0007] In an information processing apparatus according to one aspect, the first acquisition unit may acquire situation information including residence information regarding the user's residence area, and the second acquisition unit may acquire a business office located within the user's residence area based on the residence information included in the situation information acquired by the first acquisition unit.

[0008] In an information processing apparatus according to one aspect, the storage unit stores business information including feature information regarding the features of the business office, and the second acquisition unit may acquire a business office having features corresponding to the user's future life situation predicted by the prediction unit based on the situation information acquired by the first acquisition unit and based on the feature information included in the business information stored in the storage unit.

[0009] In an information processing apparatus according to one aspect, when one of the one or more business offices acquired by the second acquisition unit is selected, the output control unit may control to output the selected business office.

[0010] In an information processing apparatus according to one aspect, a first acquisition unit acquires, as situation information, at least one of medical information generated based on a user receiving medical treatment at a medical institution, care information generated based on an investigation conducted for the user to receive care services, and health check information generated based on the user receiving a health check at a medical institution. A prediction unit predicts an index related to one or more future daily life activities of the user based on a learning model that has previously learned about the user's physical and life-related content as one or more contents related to care services and an index related to one or more daily life activities as a life-related situation, and at least one of the medical information, care information, and health check information acquired by the first acquisition unit.

[0011] In an information processing apparatus according to one aspect, an output control unit may control to output to a user terminal used by the user, the future life situation of the user predicted by the prediction unit and the business office acquired by the second acquisition unit.

[0012] In an information processing method according to one aspect, a computer including a storage unit that stores business office information related to a business office that provides care services executes a first acquisition step of acquiring situation information related to a user's situation, a prediction step of predicting the future life situation of the user based on a learning model that has previously learned one or more contents related to care services and a life-related situation corresponding to the content, and the situation information acquired in the first acquisition step, and a second acquisition step of acquiring a business office corresponding to the life situation of the user predicted in the prediction step based on the business office information stored in the storage unit, and an output control step of controlling to output the future life situation of the user predicted in the prediction step and the business office acquired in the second acquisition step.

[0013] An information processing program according to one aspect causes a computer to implement a storage function for storing business information regarding a business office that provides care services, a first acquisition function for acquiring situation information regarding a user's situation, a learning model that has learned in advance one or more details regarding care services and a situation regarding life according to the details, a prediction function for predicting a user's future life situation based on the situation information acquired by the first acquisition function, a second acquisition function for acquiring a business office corresponding to the user's life situation predicted by the prediction function based on the business information stored in the storage function, and an output control function for controlling output of the user's future life situation predicted by the prediction function and the business office acquired by the second acquisition function.

Effect of the Invention

[0014] An information processing apparatus according to one aspect predicts a user's future life situation based on a learning model that has learned in advance details regarding care services and a situation regarding life predicted in the future according to the details, and the user's situation information, acquires a business office corresponding to the predicted user's life situation based on the business information, and outputs the user's future life situation and the business office. Therefore, it is possible to present a business office that provides a service corresponding to the prediction of the user's future life situation. An information processing method and an information processing program according to one aspect can achieve the same effects as the information processing apparatus according to one aspect described above.

Brief Description of the Drawings

[0015]

Figure 1

Figure 2

Figure 3

Figure 4

Figure 5

Embodiments for Carrying Out the Invention

[0016] Hereinafter, an embodiment of the present invention will be described. In this specification, the term "information" is used, but the term "information" can be replaced with "data", and the term "data" can be replaced with "information".

[0017] First, an overview of the information processing system 1 according to an embodiment will be described. FIG. 1 is a diagram for explaining the information processing system 1 according to an embodiment.

[0018] The information processing system 1 includes a user terminal 10 and an information processing apparatus 20.

[0019] The user terminal 10 is a terminal used by a user. The user terminal 10 may be, for example, a smartphone, a tablet, a laptop, a desktop, or the like. The user terminal 10 is connected to the information processing apparatus 20 via a communication network and can communicate with the information processing apparatus 20.

[0020] The information processing apparatus 20 may be, for example, a computer (as an example, a server, a desktop, a laptop, a tablet, etc.). The information processing apparatus 20 acquires, for example, situation information regarding the situation of a user who uses the user terminal 10. The situation information may be, for example, information in which the current and past (at a plurality of time points in terms of time) physical and living situations of the user are recorded in order for the user to receive the care service at a service establishment that provides the care service. The situation information may include, for example, medical information, care information, and health examination information described later.

[0021] The information processing apparatus 20 predicts the current and future living situations of the user based on the situation information. The information processing apparatus 20 may predict, for example, the future living situation of the user indicated by various indicators. As an example, the information processing apparatus 20 may predict the user's future activities of daily living (ADL) and instrumental activities of daily living (IADL). ADL is an evaluation index for each item such as movements around the body, movement operations, and life-related operations. IADL is an evaluation index for each item related to operations that require more user judgment among daily operations. The information processing apparatus 20 acquires, for example, a service provider that provides a care service capable of maintaining the future living situation of the user according to the current and future living situations of the user predicted as described above. The information processing apparatus 20 presents, for example, the predicted future living situation of the user and the service provider suitable for the user to the user as described above.

[0022] As a specific example, the information processing apparatus 20 predicts ADL and IADL based on the medical information, care information, and health examination information of the user (for example, the elderly, etc.), and proposes a long-term care insurance service and a non-long-term care insurance service for preventing the deterioration of ADL and IADL based on the prediction results.

[0023] Next, the information processing apparatus 20 will be described in detail. FIG. 2 is a diagram for explaining the information processing apparatus 20 according to an embodiment.

[0024] The information processing apparatus 20 includes a storage unit 26, a communication unit 27, a display unit 28, a first acquisition unit 22, a prediction unit 23, a second acquisition unit 24, and an output control unit 25. The first acquisition unit 22, the prediction unit 23, the second acquisition unit 24, and the output control unit 25 may be realized as a function of the control unit 21 (for example, an arithmetic processing unit, etc.) of the information processing apparatus 20. The storage unit 26, the communication unit 27, and the display unit 28 may be an embodiment of an "output unit" controlled by the output control unit 25.

[0025] The storage unit 26 stores, for example, various kinds of information and programs. The storage unit 26 may store, for example, establishment information regarding an establishment that provides care services. Further, the storage unit 26 may store, for example, establishment information including feature information regarding the features of the establishment.

[0026] That is, the storage unit 26 may store, for example, establishment information including information regarding basic items and feature items (feature information) of a plurality of service establishments. The basic items may be, for example, the content published in the care service information disclosure system provided by the Ministry of Health, Labour and Welfare, such as the name, address, telephone number of the service establishment, and the number of service providers who provide care services. The feature items are, for example, the features (types of services) of the care services provided by the service establishment. That is, the feature items are the content indicating what points the service provider emphasizes when providing care services to users, and the features may be shown in texts, photos, videos, etc. As a specific example, the feature items may be various features (types of services) such as the service provider placing emphasis on the recreation of the user and placing emphasis on the maintenance of the user's motor function (for example, muscle strength training, etc.).

[0027] The storage unit 26 may store, for example, as will be described later, the future living situation of the user predicted by the prediction unit 23 and the information regarding the service establishment acquired by the second acquisition unit 24 based on the control of the output control unit 25.

[0028] The communication unit 27 communicates with, for example, a device external to the information processing device 20. The communication unit 27 can communicate with, for example, the user terminal 10. The communication unit 27 may acquire situation information regarding the user's situation, for example, from the user terminal 10. Alternatively, the communication unit 27 may acquire situation information, for example, from a device outside the information processing apparatus 20 (such as a terminal and a server, etc.). In this case, as a device outside the information processing apparatus 20, the communication unit 27 may acquire situation information from a terminal arranged in a medical institution or the like, a terminal arranged in a service provider that provides care services, and a terminal arranged in a medical institution and a facility that provides health checkups (health check facilities). The communication unit 27 may transmit, for example, the future living situation of the user predicted by the prediction unit 23 and the information regarding the service business office acquired by the second acquisition unit 24 to the outside of the information processing apparatus 20 (for example, the user terminal 10, and terminals arranged in medical institutions, service business offices, health check facilities, etc.) based on the control of the output control unit 25.

[0029] The display unit 28 can display, for example, characters, symbols, images, etc. The display unit 28 may display, for example, the future living situation of the user predicted by the prediction unit 23 and characters, symbols, images, etc. regarding the service business office acquired by the second acquisition unit 24 based on the control of the output control unit 25.

[0030] The first acquisition unit 22 acquires situation information regarding the user's situation. That is, the first acquisition unit 22 acquires the situation information of the user who is the prediction target of the current and future living situations as described later via the communication unit 27. The first acquisition unit 22 may acquire the situation information of the same user at a plurality of time points.

[0031] In this case, as the situation information, the first acquisition unit 22 may acquire at least one of medical information generated based on the user's visit to a medical institution, care information generated based on an investigation conducted for the user to receive care services, and health check information generated based on the user's health check at a medical institution. The situation information may include, for example, medical information, nursing care information, and health check information. The medical information is information generated when the user visits a medical institution. As a specific example, it may be information such as the medical record of health insurance. The nursing care information is information generated, for example, at a service establishment that provides nursing care services. As a specific example, it may be information such as the result of a home visit survey for the user to receive a certified nursing care need in nursing care insurance. The health check information is information generated when the user undergoes a health check at a medical institution or a facility where a health check can be performed. As a specific example, it may be information such as the result of a health check. In addition to the above examples, the situation information may include information such as a basic checklist regarding the user's body and life and secondary assessment data. Note that when the situation information is input based on the operation of a keyboard, a mouse, etc. arranged in the information processing apparatus 20 by the user or the like, the first acquisition unit 22 may acquire the input situation information.

[0032] The above-described situation information may include residence information regarding the user's residence area. In this case, the first acquisition unit 22 may acquire situation information including residence information regarding the user's residence area. That is, the first acquisition unit 22 may acquire, for example, information (residence information) such as the area where the user who is the target of predicting the future living situation resides. The residence information may be, for example, information regarding an address or the like. Or, the residence information may be, for example, information on the user's residence area in units of municipalities, and information on the user's residence area in units of prefectures.

[0033] FIG. 3 is a diagram for explaining an example when the prediction unit 23 predicts the current and future living situations of the user.

[0034] The prediction unit 23 predicts the current and future living situations of the user based on a learning model that has previously learned one or more contents related to care services and the situations related to life corresponding to those contents, and the situation information acquired by the first acquisition unit 22. In this case, the prediction unit 23 may predict the indicators related to one or more daily living activities of the user's current and future based on a learning model that has previously learned the contents related to the user's body and life as one or more contents related to care services, and the indicators related to one or more daily living activities as the situations related to life, and at least one of the medical information, care information, and health check information acquired by the first acquisition unit 22.

[0035] That is, first, the prediction unit 23 (control unit 21) generates a learning model. The prediction unit 23 (control unit 21) acquires, for example, the contents related to the body and life of each of a plurality of persons (at a plurality of time points) according to the passage of time (for example, at least one piece of information among medical information, care information, health check information, etc.).

[0036] The medical information, care information, and health check information acquired by the prediction unit 23 (control unit 21) may be the same information as the medical information, care information, and health check information acquired by the above-described first acquisition unit 22. That is, the medical information is information generated when the user visits a medical institution, and as a specific example, it may be information such as a medical insurance visit record. The care information is, for example, information generated at a service establishment that provides care services, and as a specific example, it may be information such as the result of a home visit survey for the user to receive a care needs certification in long-term care insurance. The health check information is, for example, information generated when the user undergoes a health check at a medical institution or a facility where a health check can be received, and as a specific example, it may be information such as the result of a health check.

[0037] The prediction unit 23 (control unit 21) generates a learning model based on, for example, associating and learning at least one of the above-described acquired information with the current or subsequent (after time has passed) living situation of the same person corresponding to the information. The prediction unit 23 (control unit 21) may learn an index related to a person's living situation (daily living activities) as the living situation used in the above-described learning. As a specific example, the index related to daily living activities may be ADL, IADL, etc. Note that the prediction unit 23 may acquire and store a learning model generated outside the information processing apparatus 20.

[0038] The prediction unit 23 predicts the current and future living situations of the user based on the learning model generated as described above and the situation information acquired by the first acquisition unit 22. The prediction unit 23 may, for example, predict an index indicating the living situation of the person as the prediction of the current and future living situations of the user. That is, the prediction unit 23 may, for example, predict the current and future ADL, IADL, etc. of the user. Note that the prediction unit 23 may predict the current and future living situations of the user using, for example, machine learning, deep learning, etc.

[0039] The second acquisition unit 24 acquires service business offices (information on service business offices) corresponding to the living situation of the user predicted by the prediction unit 23 based on the business office information stored in the storage unit 26. As an example, when it is predicted that the current and future living situations of the user (indices such as ADL and IADL) predicted by the prediction unit 23 will deteriorate compared to the current living situation, the second acquisition unit 24 acquires one or more pieces of information on service business offices that provide care services to suppress the level of such deterioration.

[0040] That is, the second acquisition unit 24 may acquire a service business office having features corresponding to the current and future living conditions of the user predicted by the prediction unit 23 based on the situation information acquired by the first acquisition unit 22 based on the feature information included in the business office information stored in the storage unit 26. For example, when a relative deterioration of the user's motor function is predicted among the current and future living conditions (for example, indicators such as ADL and IADL) of the user predicted by the prediction unit 23, and the business office information (feature information) stored in the storage unit 26 describes the maintenance of motor functions such as "muscle strength training" as a feature of the nursing service, the second acquisition unit 24 acquires information on the service business office that provides the nursing service. As a specific example, when it is predicted that the user's walking function will decline three years later based on the ADL and IADL predicted by the prediction unit 23, the second acquisition unit 24 acquires one or more service business offices in which the type of service such as "preventive day service" is described as the feature information.

[0041] In this case, the second acquisition unit 24 may identify the features of the nursing service estimated to be required by the user by using a learning model generated by preliminarily learning the living conditions (for example, indicators such as ADL and IADL) of a plurality of persons and the features (types of services) of the nursing services required at that time. That is, the second acquisition unit 24 may identify the features (types of services) of the nursing service required by the user based on the learning model and the living conditions (for example, indicators such as ADL and IADL) of the user predicted by the prediction unit 23. The second acquisition unit 24 may acquire one or more service business offices that provide the nursing service required by the user based on the features (types of services) of the nursing service identified as described above and the business office information (feature information) stored in the storage unit 26.

[0042] The second acquisition unit 24 may acquire service establishments located within the user's residential area based on the residential information included in the situation information acquired by the first acquisition unit 22. That is, the second acquisition unit 24 acquires service establishments located in the area where the user resides. In this case, the second acquisition unit 24 acquires, for example, based on the user's residential information, service establishments within a predetermined distance from the user's address, service establishments in the same city, town, or village as the user's address (the city, town, or village where the user resides), and service establishments in the same prefecture as the user's address (the prefecture where the user resides), and acquires one or more service establishments from among these.

[0043] The output control unit 25 controls the output unit to output the current and future living situations of the user predicted by the prediction unit 23 and the service establishments acquired by the second acquisition unit 24. In this case, the output control unit 25 may read out the establishment information corresponding to the service establishments acquired by the second acquisition unit 24 from the storage unit 26 and control the output unit to output some or all of the items described in the establishment information.

[0044] The output unit may be, for example, the storage unit 26, the communication unit 27, the display unit 28, etc. as described above. The output control unit 25 may control the storage unit 26 to store information regarding the current and future living situations of the user predicted by the prediction unit 23 and the service establishments acquired by the second acquisition unit 24. The output control unit 25 may control the communication unit 27 to transmit information regarding the current and future living situations of the user predicted by the prediction unit 23 and the service establishments acquired by the second acquisition unit 24 to the outside of the information processing device 20 (for example, the user terminal 10, and terminals arranged in medical institutions, service establishments, health examination facilities, etc.). That is, the output control unit 25 may control to output the current and future living situations of the user predicted by the prediction unit 23 and the service establishments acquired by the second acquisition unit 24 to the user terminal 10 used by the user. The output control unit 25 may cause the display unit 28 to display, for example, the current and future living situations of the user predicted by the prediction unit 23, and characters, symbols, images, etc. related to the service business office acquired by the second acquisition unit 24.

[0045] In addition, when one of the one or more service business offices acquired by the second acquisition unit 24 is selected, the output control unit 25 may be controlled to output the selected service business office. As an example, first, the output control unit 25 may output so as to present all the acquired service business offices to the user based on the acquisition of the one or more service business offices by the second acquisition unit 24. Next, for example, when one or more service business offices are selected from the presented service business offices based on an operation by the user or the like, the output control unit 25 may output so as to present all the selected service business offices to the user.

[0046] In this case, when the second acquisition unit 24 acquires one or more service business offices, the output control unit 25 may output so as to present to the user the preset general content (for example, the name, address, type of service, etc. of the service business office) of the acquired service business office based on the business office information. Next, for example, when one or more service business offices are selected based on an operation by the user or the like, the output control unit 25 may output so as to present to the user the preset detailed content (for example, all the content of the basic items and characteristic items recorded in the business office information) of the selected service business office based on the business office information.

[0047] In addition, when one or more service offices are acquired by the second acquisition unit 24, the output control unit 25 may control the communication unit 27 to present the service office to the user terminal 10. Next, when one or more service offices are selected based on the user's operation from among the one or more service offices presented to the user by the user terminal 10, and the output control unit 25 receives, via the communication unit 27, information (selection information) indicating the content of the selection transmitted from the user terminal 10, the output control unit 25 may control the communication unit 27 to present the content of the selection indicated by the selection information (the service office selected by the user) to a terminal (not shown) used by the system user.

[0048] FIG. 4 is a diagram for explaining an example of the processing of the information processing apparatus 20.

[0049] As described above, the information processing apparatus 20 predicts ADL and IADL based on medical information, nursing care information, and health check information of a user (for example, an elderly person, etc.), and proposes a long-term care insurance service and a non-long-term care insurance service for preventing deterioration of ADL and IADL based on the prediction result. In this case, the information processing apparatus 20 acquires medical information (for example, medical records of health insurance, etc.), nursing care information (for example, results of home visits for certification of need for long-term care insurance, etc.), and health check information (for example, medical records of health checks, etc.) of the same user at a plurality of time points (see reference numeral A shown in FIG. 4). The information processing apparatus 20 predicts ADL and IADL based on medical information, nursing care information, and health check information by using AI technologies such as machine learning and deep learning (see reference numeral B shown in FIG. 4). The information processing apparatus 20 estimates the types of long-term care insurance services and non-long-term care insurance services for improving the predicted ADL and IADL.

[0050] The information processing apparatus 20 constructs in advance a database (storage unit 26) that registers care insurance service providers and non-care insurance service providers for each type of care insurance service and non-care insurance service in order to perform the estimation. The information processing apparatus 20 registers, as information to be registered in the database (storage unit 26), for example, in addition to open data (basic information) of the Ministry of Health, Labour and Welfare and local governments, etc., information regarding characteristic items such as the characteristics of the business offices and photos publicly disclosed by each business office. The information processing apparatus 20 may, for example, publicly disclose the constructed database on the Web. Further, the information processing apparatus 20 may enable a user with a issued user account to search for and view the constructed database on the Web.

[0051] For example, when an estimation is made regarding the types of care insurance services and non-care insurance services, the information processing apparatus 20 presents information on care insurance service providers or care insurance service providers within a distance that can be used by the user as options to the user (or, system user) (see reference sign B shown in FIG. 4). When the information processing apparatus 20 selects a service provider that the user considers to be optimal from among the options by the user (or, system user), it accepts the selection.

[0052] As a result of the selection, the information processing apparatus 20 causes a plan for improving ADL and IADL to be displayed on the display unit 28 or a display unit outside the information processing apparatus 20 (for example, the display unit of a terminal, etc.). Based on the operation of the system user, the information processing apparatus 20 accepts the creation of a plan document for improving ADL and IADL while viewing the selection result and plan displayed on the display unit 28, etc. (see reference sign C shown in FIG. 4), and enables the system user to explain the plan document to the user (see reference sign D shown in FIG. 4). The information processing apparatus 20 may use the above-described system service as a cloud service using a browser.

[0053] Next, an information processing method according to an embodiment will be described. FIG. 5 is a flowchart for explaining an information processing method according to an embodiment.

[0054] In step ST101, the first acquisition unit 22 acquires situation information regarding the user's situation. In this case, the first acquisition unit 22 may acquire at least one of medical information, nursing care information, and health examination information as the situation information. The situation information may include residence information regarding the user's residence area.

[0055] In step ST102, the prediction unit 23 predicts the user's current and future living situations based on the learning model and the situation information (at least one piece of information among medical information, nursing care information, and health examination information) acquired in step ST101. In this case, the prediction unit 23 may predict an index (for example, ADL and IADL, etc.) regarding one or more future daily living activities of the user. The above-described learning model may be a model that has previously learned one or more contents regarding nursing care services and the situations regarding life corresponding to those contents. That is, the learning model may be a model that has previously learned the contents regarding the user's body and life as one or more contents regarding nursing care services and the index regarding one or more daily living activities as the situation regarding life.

[0056] In step ST103, the second acquisition unit 24 acquires a service business establishment corresponding to the user's living situation predicted in step ST102 based on the business establishment information stored in the storage unit 26. In this case, the second acquisition unit 24 may acquire a service business establishment located within the user's residence area based on the residence information included in the situation information acquired in step ST101. The control unit 21 (for example, the output control unit 25) presents the service business establishment acquired by the second acquisition unit 24 to the user (or the system user).

[0057] In step ST104, when one of the one or more service business establishments presented in step ST103 is selected, the output control unit 25 receives selection information indicating the selection (the selected service business establishment).

[0058] In step ST105, the output control unit 25 controls to output the future living situation of the user predicted in step ST102. Further, the output control unit 25 controls to output the service establishment that received the selection in step ST104.

[0059] Next, the effects of the present embodiment will be described. The information processing apparatus 20 includes a storage unit 26 that stores establishment information, a first acquisition unit 22 that acquires the situation information of the user, a learning model that has learned in advance one or more contents related to the care service and the situations related to the current and future life according to the contents, a prediction unit 23 that predicts the current and future living situations of the user based on the situation information acquired by the first acquisition unit 22, a second acquisition unit 24 that acquires a service establishment corresponding to the living situation of the user predicted by the prediction unit 23 based on the establishment information stored in the storage unit 26, and an output control unit 25 that controls to output the current and future living situations of the user predicted by the prediction unit 23 and the service establishment acquired by the second acquisition unit 24. Thereby, the information processing apparatus 20 can predict the current and future living situations of the user and present a service establishment corresponding to the prediction. In this case, the information processing apparatus 20 predicts the current and future living situations of the target user based on a pre-learned learning model, for example, that is, based on past cases of a plurality of persons, so that the accuracy of the prediction can be improved. Further, since the information processing apparatus 20 acquires a service establishment corresponding to the predicted current and future living situations, it can present to the user a service establishment suitable for the target user, and can suppress the future living situation of the user from becoming worse than the current situation.

[0060] In the information processing apparatus 20, the first acquisition unit 22 may acquire situation information including the user's residence information. In this case, the second acquisition unit 24 may acquire a service establishment located within the user's residence area based on the residence information included in the situation information acquired by the first acquisition unit 22. As a result, the information processing apparatus 20 can propose a service business office close to the user's address, thereby improving the convenience for the user.

[0061] In the information processing apparatus 20, the storage unit 26 may store business office information including characteristic information. In this case, the second acquisition unit 24 may acquire a service business office having characteristics corresponding to the future living situation of the user predicted by the prediction unit 23 based on the situation information acquired by the first acquisition unit 22 and based on the characteristic information included in the business office information stored in the storage unit 26. As a result, the information processing apparatus 20 can propose a service business office that can improve the user's current and future living situations.

[0062] In the information processing apparatus 20, when one of the one or more service business offices acquired by the second acquisition unit 24 is selected, the output control unit 25 may control to output the selected service business office. As a result, the information processing apparatus 20 can propose the one or more service business offices acquired by the second acquisition unit 24 to the user, and when the user-preferred service business office is selected from among the service business offices, the selected service business office can be presented to the user. In this case, the information processing apparatus 20 may, for example, change the content of the service business office presented to the user for the first time and the content of the service business office presented to the user for the second time. That is, the information processing apparatus 20 may, for example, present the general content of the service business office for the first time and present the detailed content of the service business office for the second time. In addition, the information processing apparatus 20 may present a service business office to the user terminal 10 for the first time and present a service business office to the terminal used by the system user for the second time. That is, the information processing apparatus 20 may change the presentation destination between the first presentation of the service business office and the second presentation of the service business office. Thereby, the information processing apparatus 20 can allow the user himself / herself to select a service business office that the user prefers for the first time, and the system user can explain in detail to the user the service business office selected by the user for the second time.

[0063] In the information processing apparatus 20, the first acquisition unit 22 may acquire at least one of medical information, nursing care information, and health check information as the situation information. In this case, the prediction unit 23 learns in advance a learning model of one or more contents related to the user's body and life as one or more contents related to the nursing care service, and one or more indicators related to daily life actions as the situation related to the current and future predicted life, and based on at least one of the medical information, nursing care information, and health check information acquired by the first acquisition unit 22, it may be configured to predict one or more indicators related to the user's future daily life actions. Thereby, since the information processing apparatus 20 can acquire the user's situation information based on the knowledge of doctors in medical institutions and health check facilities, and experts such as system users, it can predict the user's current and future living situations more accurately. In addition, since the information processing apparatus 20 predicts indicators related to daily life actions (for example, ADL and IADL, etc.) as the user's current and future living situations, it can easily enable experts who come into contact with the predicted indicators to understand the user's future living situation.

[0064] In the information processing apparatus 20, the output control unit 25 may be configured to control the user's current and future living situations predicted by the prediction unit 23 and the service business office acquired by the second acquisition unit 24 to be output to the user terminal 10 used by the user. Thereby, the information processing apparatus 20 can make it easier for the user to grasp his / her own situation.

[0065] In the information processing method, a computer having a storage unit 26 for storing business office information executes a first acquisition step of acquiring user situation information, a learning model that has previously learned one or more contents related to care services and situations related to life predicted currently and in the future according to the contents, a prediction step of predicting the current and future living situations of the user based on the situation information acquired in the first acquisition step, a second acquisition step of acquiring a service business office corresponding to the living situation of the user predicted in the prediction step based on the business office information stored in the storage unit 26, and an output control step of controlling to output the current and future living situations of the user predicted in the prediction step and the service business office acquired in the second acquisition step. Thereby, the information processing method can predict the current and future living situations of the user and present a service business office corresponding to the prediction. In this case, the information processing method predicts the current and future living situations of the target user based on a previously learned learning model, for example, that is, based on past cases of a plurality of persons, so that the accuracy of the prediction can be improved. Further, since the information processing method acquires a service business office corresponding to the predicted current and future living situations, it can present the user with a service business office suitable for the target user, and can suppress the future living situation of the user from becoming worse than the current situation.

[0066] The information processing program causes a computer to realize a storage function of storing business office information, a first acquisition function of acquiring user situation information, a learning model that has previously learned one or more contents related to care services and situations related to life predicted currently and in the future according to the contents, a prediction function of predicting the current and future living situations of the user based on the situation information acquired by the first acquisition function, a second acquisition function of acquiring a service business office corresponding to the living situation of the user predicted by the prediction function based on the business office information stored in the storage function, and an output control function of controlling to output the current and future living situations of the user predicted by the prediction function and the service business office acquired by the second acquisition function. As a result, the information processing program can predict the current and future living situations of the user and present service business offices according to the prediction. In this case, the information processing program predicts the current and future living situations of the target user based on a pre-trained learning model, for example, that is, based on past cases of a plurality of people, so that the accuracy of the prediction can be improved. In addition, since the information processing program acquires service business offices according to the predicted current and future living situations, it can present to the user service business offices suitable for the target user, and can suppress the future living situation of the user from becoming worse than the current situation.

[0067] Each part of the above-described information processing apparatus 20 may be realized as functions such as a computing processing apparatus of a computer. That is, the first acquisition unit 22, the prediction unit 23, the second acquisition unit 24, and the output control unit 25 of the information processing apparatus 20 may be realized as a first acquisition function, a prediction function, a second acquisition function, and an output control function by a computing processing apparatus of a computer, respectively. The information processing program can cause a computer to realize each of the above-described functions. The information processing program may be recorded on a non-transitory computer-readable recording medium such as an external memory or an optical disk. Also, as described above, each part of the information processing apparatus 20 may be realized by a computing processing apparatus of a computer or the like. The computing processing apparatus or the like is constituted by, for example, an integrated circuit or the like. For this reason, each part of the information processing apparatus 20 may be realized as a circuit constituting the computing processing apparatus or the like. That is, the first acquisition unit 22, the prediction unit 23, the second acquisition unit 24, and the output control unit 25 of the information processing apparatus 20 may be realized as a first acquisition circuit, a prediction circuit, a second acquisition circuit, and an output control circuit constituting a computing processing apparatus of a computer, respectively. In addition, the storage unit 26, communication unit 27, and display unit 28 (output unit) of the information processing apparatus 20 may be realized as, for example, a storage function, communication function, and display function (output function) including functions such as an arithmetic processing unit. Further, the storage unit 26, communication unit 27, and display unit 28 (output unit) of the information processing apparatus 20 may be realized as a storage circuit, communication circuit, and display circuit (output circuit) by being configured by, for example, an integrated circuit or the like. Further, the storage unit 26, communication unit 27, and display unit 28 (output unit) of the information processing apparatus 20 may be configured as a storage device, communication device, and display device (output device) by being configured by, for example, a plurality of devices.

Explanation of Signs

[0068] 1 Information processing system 10 User terminal 20 Information processing apparatus 21 Control unit 22 First acquisition unit 23 Prediction unit 24 Second acquisition unit 25 Output control unit 26 Storage unit 27 Communication unit 28 Display unit

Claims

1. A storage unit that stores establishment information regarding establishments that provide nursing care services; A first acquisition unit that acquires situation information related to a situation of a user; A prediction unit that predicts the user's future living situation based on a learning model that has previously learned one or more contents related to nursing care services and living situations corresponding to the contents, and the situation information acquired by the first acquisition unit; A second acquisition unit that acquires an establishment corresponding to the user's living situation predicted by the prediction unit based on the establishment information stored in the storage unit; an output control unit that controls to output the user's future living situation predicted by the prediction unit and the business establishment acquired by the second acquisition unit; An information processing device comprising:

2. The first acquisition unit acquires situation information including residence information related to a residential area of ​​the user, The second acquisition unit acquires establishments located in the user's residential area based on residence information included in the situation information acquired by the first acquisition unit. The information processing device according to claim 1 .

3. The storage unit stores establishment information including feature information related to features of the establishment, The second acquisition unit acquires an establishment having a feature corresponding to the user's future living situation predicted by the prediction unit based on the situation information acquired by the first acquisition unit, based on feature information included in the establishment information stored in the storage unit. The information processing device according to claim 1 .

4. The output control unit controls so that, when one of the one or more establishments acquired by the second acquisition unit is selected, the selected establishment is output.

4. The information processing device according to claim 1.

5. The first acquisition unit acquires, as the status information, at least one of medical information generated based on the user's examination at a medical institution, nursing care information generated based on a survey conducted in order for the user to receive nursing care services, and health checkup information generated based on the user's medical examination at a medical institution; The prediction unit predicts an index related to one or more future daily living activities of the user based on the learning model that has previously learned contents related to the user's body and life as one or more contents related to nursing care services and an index related to one or more daily living activities as a living situation, and at least one of medical information, nursing care information, and health check information acquired by the first acquisition unit. The information processing device according to any one of claims 1 to 4.

6. The output control unit controls to output the user's future living situation predicted by the prediction unit and the establishment acquired by the second acquisition unit to a user terminal used by the user. The information processing device according to any one of claims 1 to 5.

7. A computer having a storage unit for storing establishment information relating to establishments that provide nursing care services, A first acquisition step of acquiring situation information related to a situation of a user; A prediction step of predicting the user's future living situation based on a learning model that has previously learned one or more contents related to nursing care services and living situations corresponding to the contents, and the situation information acquired by the first acquisition step; A second acquisition step of acquiring an establishment corresponding to the user's living situation predicted by the prediction step based on the establishment information stored in the storage unit; an output control step of controlling to output the user's future living situation predicted by the prediction step and the business establishment acquired by the second acquisition step; An information processing method for performing the above.

8. On the computer, A storage function for storing establishment information regarding establishments that provide nursing care services; A first acquisition function for acquiring situation information related to a situation of a user; A prediction function that predicts the user's future living situation based on a learning model that has previously learned one or more contents related to nursing care services and living situations corresponding to the contents, and the situation information acquired by the first acquisition function; A second acquisition function that acquires an establishment corresponding to the user's living situation predicted by the prediction function based on the establishment information stored in the storage function; an output control function that controls to output the user's future living situation predicted by the prediction function and the business establishment acquired by the second acquisition function; An information processing program that realizes this.

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