JP7675981B2 - Information processing device, information processing method, and information processing program - Google Patents

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

When a user receives nursing care services, a care plan is created. The technology described in Patent Document 1 creates the care plan by acquiring the type of nursing care service to be applied to the user based on the user's health condition.

JP 2019-046474 A

As described above, the technology described in Patent Document 1 calculates the type of nursing care service to be applied to a user and creates a care plan. However, when providing nursing care services to a user, the user must select one from among multiple service providers. Since each service provider has its own characteristics in the services they provide to users, the user must select a service provider that can execute the care plan, but it has been difficult for the user to understand the characteristics and select an appropriate service provider.

The present invention aims to provide an information processing device, an information processing method, and an information processing program that can present service providers based on a prediction of the user's future living situation.

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

In one embodiment of the information processing device, the first acquisition unit may acquire situation information including residence information related to the user's residential area, and the second acquisition unit may acquire business establishments located within the user's residential area based on the residence information included in the situation information acquired by the first acquisition unit.

In one embodiment of the information processing device, the storage unit stores establishment information including feature information related to the characteristics of the establishment, and the second acquisition unit may acquire establishments having features 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 the feature information included in the establishment information stored in the storage unit.

In one embodiment of the information processing device, the output control unit may be configured to control the output of the selected establishment when one of the one or more establishments acquired by the second acquisition unit is selected.

In one embodiment of the information processing device, the first acquisition unit acquires, as the status information, at least one of medical information generated based on the user's visit to a medical institution, nursing care information generated based on a survey conducted for the user to receive nursing care services, and health check information generated based on the user's medical checkup at a medical institution, and the prediction unit may predict an indicator for one or more future daily living activities of the user based on a learning model that has previously learned details about the user's body and life as one or more details related to nursing care services and an indicator for one or more daily living activities as a living situation, and at least one of the medical information, nursing care information, and health check information acquired by the first acquisition unit.

In one embodiment of the information processing device, the output control unit may control the output of the user's future living situation predicted by the prediction unit and the business establishment acquired by the second acquisition unit to a user terminal used by the user.

In one aspect of the information processing method, a computer having a memory unit that stores business establishment information related to businesses that provide nursing care services executes a first acquisition step of acquiring situation information related to a user's situation, 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 those contents and the situation information acquired by the first acquisition step, a second acquisition step of acquiring a business establishment corresponding to the user's living situation predicted by the prediction step based on the business establishment information stored in the memory unit, and 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 program according to one embodiment of the present invention provides a computer with the following: a memory function that stores business establishment information related to business establishments that provide nursing care services; a first acquisition function that acquires situation information related to the user's situation; a learning model that has previously learned one or more contents related to nursing care services and life-related situations corresponding to those contents; a prediction function that predicts the user's future living situation based on the situation information acquired by the first acquisition function; a second acquisition function that acquires business establishments corresponding to the user's living situation predicted by the prediction function based on the business establishment information stored in the memory function; and an output control function that controls the output of the user's future living situation predicted by the prediction function and the business establishments acquired by the second acquisition function.

One embodiment of an information processing device predicts a user's future living situation based on a learning model that has pre-learned the content of nursing care services and the future living conditions predicted based on that content, and based on the user's situation information, obtains a business that corresponds to the user's predicted living situation based on business information, and outputs the user's future living situation and business, thereby making it possible to present businesses that provide services according to the prediction of the user's future living situation.
The information processing method and the information processing program according to one aspect can achieve the same effects as the information processing device according to the above aspect.

FIG. 1 is a diagram illustrating an information processing system according to an embodiment. FIG. 1 is a diagram illustrating an information processing device according to an embodiment. 11 is a diagram for explaining an example of a case where a prediction unit predicts a user's future living situation. FIG. FIG. 2 is a diagram illustrating an example of processing by an information processing device. 1 is a flowchart illustrating an information processing method according to an embodiment.

Hereinafter, one 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".

First, an overview of an information processing system 1 according to an embodiment will be described.
FIG. 1 is a diagram illustrating an information processing system 1 according to an embodiment.

The information processing system 1 includes a user terminal 10 and an information processing device 20.

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, or a desktop. The user terminal 10 is connected to the information processing device 20 via a communication network and is capable of communicating with the information processing device 20.

The information processing device 20 may be, for example, a computer (examples include a server, desktop, laptop, and tablet). The information processing device 20 acquires, for example, situation information related to the situation of a user using the user terminal 10. The situation information may be, for example, information that records the user's current and past (at multiple points in time) physical and lifestyle situations, etc., so that the user can receive nursing care services at a service provider that provides the nursing care services. The situation information may include, for example, medical information, nursing care information, and health check information, which will be described later.

The information processing device 20 predicts the user's current and future living situations based on the situation information. The information processing device 20 may predict the user's future living situations, for example, indicated by various indices. As an example, the information processing device 20 may predict the user's future Activities of Daily Living (ADL) and Instrumental Activities of Daily Living (IADL). The ADL is an evaluation index for each item such as movements around the home, movements of movement, and movements related to daily life. The IADL is an evaluation index for each item related to movements that require more judgment from the user among daily movements.
The information processing device 20 acquires, for example, a service provider that provides nursing care services that can maintain the user's future living situation, based on the user's current and future living situation predicted as described above.
The information processing device 20 presents to the user, for example, the user's future living situation predicted as described above and service providers suitable for the user.

As a specific example, the information processing device 20 predicts the ADL and IADL of a user (e.g., an elderly person) based on medical information, nursing care information, and health check information, and based on the results of the prediction, suggests nursing care insurance services and non-insurance services to prevent the deterioration of the ADL and IADL.

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

The information processing device 20 includes a memory 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 a control unit 21 (e.g., a calculation processing device, etc.) of the information processing device 20. The memory 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.

The memory unit 26 stores, for example, various information and programs. The memory unit 26 may store, for example, business establishment information related to a service establishment that provides nursing care services. The memory unit 26 may also store, for example, business establishment information including feature information related to the features of the service establishment.

That is, the storage unit 26 may store, for example, establishment information including information on basic details and special features (specialty information) of a plurality of service establishments.
The basic information may be, for example, the name, address, telephone number, and number of service staff providing care services of the service provider, which are disclosed in the care service information disclosure system provided by the Ministry of Health, Labor and Welfare.
The characteristic items are, for example, the characteristics (types of services) of the nursing care services provided by the service establishment. That is, the characteristic items are contents that indicate what points the service provider focuses on when providing nursing care services to the user, and the characteristics may be indicated by text, photos, videos, etc. As a specific example, the characteristic items may be various characteristics (types of services) such as the service provider placing emphasis on recreation for the user and on maintaining the user's motor functions (for example, strength training, etc.).

The memory unit 26 may, for example, store information about the user's future living situation predicted by the prediction unit 23 and about the service establishment acquired by the second acquisition unit 24 based on the control of the output control unit 25, as described below.

The communication unit 27 communicates with, for example, a device external to the information processing device 20. The communication unit 27 is capable of communicating with, for example, the user terminal 10.
The communication unit 27 may acquire status information on the user's status from, for example, the user terminal 10. Alternatively, the communication unit 27 may acquire status information from, for example, a device (for example, a terminal and a server) external to the information processing device 20. In this case, the communication unit 27 may acquire status information from a terminal provided in a medical institution, a terminal provided in a service provider providing a nursing care service, and a terminal provided in a medical institution and a facility providing a health checkup (health checkup facility), as a device external to the information processing device 20.
The communication unit 27 may, for example, based on the control of the output control unit 25, transmit information regarding the user's future living situation predicted by the prediction unit 23 and information regarding the service business acquired by the second acquisition unit 24 to an outside of the information processing device 20 (for example, the user terminal 10, and terminals located in medical institutions, service businesses, health checkup facilities, etc.).

The display unit 28 is capable of displaying, for example, characters, symbols, images, etc. The display unit 28 may display, for example, the user's future living situation predicted by the prediction unit 23 and characters, symbols, images, etc. related to the service establishment acquired by the second acquisition unit 24 based on the control of the output control unit 25.

The first acquisition unit 22 acquires situation information related to the user's situation. That is, the first acquisition unit 22 acquires situation information of a user whose current and future living situation is to be predicted, as described below, via the communication unit 27. The first acquisition unit 22 may acquire situation information of the same user at multiple points in time.

In this case, the first acquisition unit 22 may acquire, as the status information, at least one of medical information generated based on the user visiting 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 undergoing a health checkup at a medical institution.
The status information may include, for example, medical information, nursing care information, and health checkup information. The medical information is information generated by the user visiting a medical institution, and may be, for example, information such as a health insurance medical examination record. The nursing care information is, for example, information generated by a service business that provides nursing care services, and may be, for example, information such as the results of a home visit survey for the user to receive nursing care certification under nursing care insurance. The health checkup information is, for example, information generated by the user undergoing a health checkup at a medical institution or a facility where a health checkup can be received, and may be, for example, information such as the results of the health checkup.
In addition to the above-mentioned examples, the situation information may also include information such as a basic checklist and secondary assessment data regarding the user's body and lifestyle.
In addition, when situation information is input based on a user operating a keyboard, a mouse, or the like arranged on the information processing device 20, the first acquisition unit 22 may acquire the input situation information.

The above-mentioned situation information may include residence information on the user's residential area. In this case, the first acquisition unit 22 may acquire situation information including residence information on the user's residential area. That is, the first acquisition unit 22 acquires, for example, information on the area in which the user, whose future living situation is to be predicted, resides (residential information), etc. The residential information may be, for example, information on the address, etc. Alternatively, the residential information may be, for example, information on the user's residential area in units of city, ward, town, or village, and information on the user's residential area in units of prefecture, etc.

Figure 3 is a diagram illustrating an example of a case in which the prediction unit 23 predicts a user's current and future living conditions.

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

That is, first, the prediction unit 23 (control unit 21) generates a learning model. The prediction unit 23 (control unit 21) acquires, for example, information related to the body and life of each of multiple people (for example, at least one of medical information, nursing care information, health check information, etc.) according to the passage of time (at multiple points in time).

The medical information, nursing care information, and health check information acquired by the prediction unit 23 (control unit 21) may be the same as the medical information, nursing care information, and health check information acquired by the first acquisition unit 22 described above. That is, the medical information is information generated by the user visiting a medical institution, and as a specific example, may be information such as a health insurance medical examination record. The nursing care information is, for example, information generated by a service business that provides nursing care services, and as a specific example, may be information such as the results of a home visit survey for the user to receive nursing care certification under nursing care insurance. The health check information is, for example, information generated by the user undergoing a health check at a medical institution or a facility where a health check can be received, and as a specific example, may be information such as the results of the health check.

The prediction unit 23 (control unit 21) generates a learning model based on, for example, associating at least one of the acquired information items with the current or subsequent (after time has passed) living situation of the same person corresponding to the information and learning the information. The prediction unit 23 (control unit 21) may learn an index related to the living situation (activities of daily living) of the person as the living situation used in the learning. As a specific example, the index related to the activities of daily living may be ADL, IADL, etc.
In addition, the prediction unit 23 may obtain and store a learning model generated outside the information processing device 20.

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 predict, for example, an index indicating a person's living situation as a prediction of the current and future living situations of the user. That is, the prediction unit 23 may predict, for example, the current and future ADL and IADL of the user.
In addition, the prediction unit 23 may predict the user's current and future living situation using, for example, machine learning and deep learning.

The second acquisition unit 24 acquires service establishments (information on service establishments) corresponding to the user's living situation predicted by the prediction unit 23, based on the establishment information stored in the memory unit 26. As an example, when the user's current and future living situation is predicted to deteriorate from the current living situation based on the user's current and future living situation predicted by the prediction unit 23 (indicators such as ADL and IADL), the second acquisition unit 24 acquires information on one or more service establishments that provide nursing care services to suppress the level of deterioration.

That is, the second acquisition unit 24 may acquire service establishments having characteristics corresponding to the user's current and future living conditions predicted by the prediction unit 23 based on the situation information acquired by the first acquisition unit 22, based on the characteristic information included in the establishment information stored in the storage unit 26. For example, when a relative deterioration of the user's motor function is predicted among the user's current and future living conditions (e.g., indicators such as ADL and IADL) predicted by the prediction unit 23, if the establishment information (characteristic information) stored in the storage unit 26 describes maintenance of motor function such as "strength training" as a characteristic of the nursing care service, the second acquisition unit 24 acquires information on service establishments that provide the nursing care service. As a specific example, when the user's walking function is predicted to deteriorate in three years based on the ADL and IADL predicted by the prediction unit 23, the second acquisition unit 24 acquires one or more service establishments having a type of service such as "preventive day service" described as characteristic information.

In this case, the second acquisition unit 24 may identify the features of the nursing care service estimated to be required by the user by using a learning model generated by learning in advance the living conditions of multiple people (e.g., indicators such as ADL and IADL) and the features (types of services) of the nursing care service required in that living condition. That is, the second acquisition unit 24 may identify the features (types of services) of the nursing care service required by the user based on the learning model and the living conditions of the user predicted by the prediction unit 23 (e.g., indicators such as ADL and IADL). The second acquisition unit 24 may acquire one or more service businesses that provide the nursing care service required by the user based on the features (types of services) of the nursing care service identified as described above and the business information (feature information) stored in the memory unit 26.

The second acquisition unit 24 may acquire service establishments located in the user's residential area based on the residence 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 one or more service establishments based on the user's residential information from among service establishments within a predetermined distance from the user's address, service establishments in the same city, ward, town, or village as the user's address (the city, ward, 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).

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

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, for example, control the memory unit 26 to store information regarding the user's current and future living conditions predicted by the prediction unit 23 and information regarding the service business acquired by the second acquisition unit 24.
The output control unit 25 may, for example, control the communication unit 27 to transmit the user's current and future living situation predicted by the prediction unit 23 and information on 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 provided in medical institutions, service establishments, health checkup facilities, etc.). That is, the output control unit 25 may, for example, control the user's current and future living situation predicted by the prediction unit 23 and information on the service establishments acquired by the second acquisition unit 24 to be output to the user terminal 10 used by the user.
The output control unit 25 may, for example, cause the display unit 28 to display the user's current and future living situation predicted by the prediction unit 23, and letters, symbols, images, etc. related to the service provider acquired by the second acquisition unit 24.

In addition, when one of the one or more service establishments acquired by the second acquisition unit 24 is selected, the output control unit 25 may perform control so as to output the selected service establishment.
As an example, first, the output control unit 25 may output all of the acquired service establishments to be presented to the user based on one or more service establishments being acquired by the second acquisition unit 24. Next, for example, when one or more service establishments are selected from the presented service establishments based on an operation by the user or the like, the output control unit 25 may output all of the selected service establishments to be presented to the user.

In this case, when one or more service establishments are acquired by the second acquisition unit 24, the output control unit 25 may output to present to the user the preset general details of the acquired service establishment (e.g., the name, address, and type of service of the service establishment) based on the establishment information. Next, when one or more service establishments are selected based on an operation by the user, for example, the output control unit 25 may output to present to the user the preset detailed details of the selected service establishment (e.g., all the basic and special features recorded in the establishment information) based on the establishment information.

The output control unit 25 may also control the communication unit 27 to present one or more service establishments on the user terminal 10 when the second acquisition unit 24 acquires the service establishments. Next, when one or more service establishments are selected based on the user's operation from among one or more service establishments presented to the user by the user terminal 10, the output control unit 25 may control the communication unit 27 to present the selection contents (the service establishments selected by the user) indicated in the selection information (selection information) sent from the user terminal 10 on a terminal (not shown) used by the system user when the communication unit 27 receives the selection contents.

Figure 4 is a diagram illustrating an example of processing by the information processing device 20.

As described above, the information processing device 20 predicts ADL and IADL based on the medical information, nursing care information, and health check information of a user (e.g., an elderly person, etc.), and based on the results of the prediction, proposes nursing care insurance services and non-nursing care insurance services to prevent the deterioration of ADL and IADL.
In this case, the information processing device 20 acquires the medical information (e.g., health insurance medical records, etc.), nursing care information (e.g., visit investigation results for nursing care certification under nursing care insurance, etc.), and health check information (e.g., health check records, etc.) of the same user at multiple points in time (see symbol A in FIG. 4). The information processing device 20 predicts ADL and IADL based on the medical information, nursing care information, and health check information using AI technology such as machine learning and deep learning (see symbol B in FIG. 4). The information processing device 20 estimates the types of nursing care insurance services and non-nursing care insurance services to improve the predicted ADL and IADL.

To make this estimation, the information processing device 20 constructs in advance a database (storage unit 26) in which nursing care insurance service providers and non-nursing care insurance service providers are registered by type of nursing care insurance service and non-nursing care insurance service. For example, the information processing device 20 registers information on the characteristics of the business and characteristics such as photos published by each business as well as open data (basic information) from the Ministry of Health, Labor and Welfare and local governments as information to be registered in the database (storage unit 26). The information processing device 20 may, for example, publish the constructed database on the Web. Furthermore, the information processing device 20 may enable users to whom user accounts have been issued to search and view the constructed database on the Web.

For example, when an estimation is made regarding the types of nursing care insurance services and non-nursing care insurance services, the information processing device 20 presents the user (or system user) with information on nursing care insurance service providers or nursing care insurance service providers that are within a distance that the user can use as options (see symbol B in Figure 4). When the user (or system user) selects a service provider that the user considers to be most suitable for the user from the options, the information processing device 20 accepts the selection.

The information processing device 20 displays a plan for improving the ADL and IADL as a result of the selection on the display unit 28 or on a display unit external to the information processing device 20 (e.g., a display unit of a terminal, etc.). Based on the operation of the system user, the information processing device 20 accepts the creation of a plan for improving the ADL and IADL while viewing the selection results and plan displayed on the display unit 28, etc. (see symbol C shown in FIG. 4), and enables the system user to explain the plan to the user (see symbol D shown in FIG. 4). The information processing device 20 may use the services of the above-mentioned system as cloud services on a browser.

Next, an information processing method according to an embodiment will be described.
FIG. 5 is a flowchart illustrating an information processing method according to an embodiment.

In step ST101, the first acquisition unit 22 acquires situation information related to 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 check information as the situation information. The situation information may include residential information related to the user's residential area.

In step ST102, the prediction unit 23 predicts the user's current and future living conditions based on the learning model and the situation information (at least one of medical information, nursing care information, and health check information) acquired in step ST101. In this case, the prediction unit 23 may predict indicators related to one or more future daily living activities of the user (e.g., ADL and IADL, etc.). The above-mentioned learning model may be a model that has previously learned one or more contents related to nursing care services and a living situation corresponding to the contents. In other words, the learning model may be a model that has previously learned contents related to the user's body and living as one or more contents related to nursing care services, and one or more indicators related to daily living activities as a living situation.

In step ST103, the second acquisition unit 24 acquires service establishments corresponding to the user's living situation predicted in step ST102, based on the establishment information stored in the memory unit 26. In this case, the second acquisition unit 24 may acquire service establishments located in the user's residential area, based on the residence information included in the situation information acquired in step ST101. The control unit 21 (e.g., the output control unit 25) presents the service establishments acquired by the second acquisition unit 24 to the user (or the system user).

In step ST104, if one of the one or more service providers presented in step ST103 is selected, the output control unit 25 accepts selection information indicating that selection (selected service provider).

In step ST105, the output control unit 25 controls the output to output the user's future living situation predicted in step ST102. The output control unit 25 also controls the output to output the service establishment selected in step ST104.

Next, the effects of this embodiment will be described.
The information processing device 20 includes a memory unit 26 that stores business establishment information, a first acquisition unit 22 that acquires situation information of the user, a learning model that has previously learned one or more contents related to nursing care services and current and future predicted living situations according to those contents, a prediction unit 23 that predicts the user's current and future living situations based on the situation information acquired by the first acquisition unit 22, a second acquisition unit 24 that acquires service business establishments corresponding to the user's living situation predicted by the prediction unit 23 based on the business establishment information stored in the memory unit 26, and an output control unit 25 that controls the output of the user's current and future living situations predicted by the prediction unit 23 and the service business establishments acquired by the second acquisition unit 24.
This allows the information processing device 20 to predict the user's current and future living conditions and present service establishments according to the prediction. In this case, the information processing device 20 predicts the current and future living conditions of the target user based on a learning model learned in advance, for example, based on past cases of multiple people, so that the accuracy of the prediction can be improved. In addition, since the information processing device 20 obtains service establishments according to the predicted current and future living conditions, it is possible to present the target user with service establishments suitable for the user, and it is possible to prevent the user's future living conditions from becoming worse than they are now.

In the information processing device 20, the first acquisition unit 22 may acquire situation information including residence information of the user. In this case, the second acquisition unit 24 may acquire service establishments located in the residential area of the user based on the residence information included in the situation information acquired by the first acquisition unit 22.
This allows the information processing device 20 to suggest service offices close to the user's address, thereby improving user convenience.

In the information processing device 20, the storage unit 26 may store establishment information including feature information. In this case, the second acquisition unit 24 may acquire service establishments having features corresponding to the user's future living situation 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 establishment information stored in the storage unit 26.
This enables the information processing device 20 to suggest service providers that can improve the user's current and future living conditions.

In the information processing device 20, the output control unit 25 may be configured to control the output of the selected service establishment when one of the one or more service establishments acquired by the second acquisition unit 24 is selected.
As a result, the information processing device 20 can propose to the user one or more service establishments acquired by the second acquisition unit 24, and when the user selects a service establishment preferred by the user from among the service establishments, present the selected service establishment to the user.
In this case, the information processing device 20 may, for example, change the content of the service establishments presented to the user the first time from the content of the service establishments presented to the user the second time.
That is, the information processing device 20 may present, for example, an outline of the service establishment the first time and present the detailed information of the service establishment the second time.
Also, the information processing device 20 may present a service business to the user terminal 10 the first time, and present the service business to the terminal used by the system user the second time. That is, the information processing device 20 may present different service businesses the first time and the second time. This allows the information processing device 20 to allow the user to select a service business that he or she prefers the first time, and the system user to explain in detail to the user the service business selected by the user the second time.

In the information processing device 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 may predict an index related to one or more future daily living activities of the user based on a 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 one or more indexes related to daily living activities as current and future predicted life situations, and at least one of the medical information, nursing care information, and health check information acquired by the first acquisition unit 22.
As a result, the information processing device 20 can obtain status information of the user based on the knowledge of experts such as doctors at medical institutions and health checkup facilities, and system users, and can more accurately predict the user's current and future living conditions. In addition, the information processing device 20 predicts indicators related to activities of daily living (e.g., ADL and IADL) as the user's current and future living conditions, so that experts who come into contact with the predicted indicators can easily understand the user's future living conditions.

In the information processing device 20, the output control unit 25 may control the output of the user's current and future living conditions predicted by the prediction unit 23 and the service business establishments acquired by the second acquisition unit 24 to the user terminal 10 used by the user.
This enables the information processing device 20 to make it easier for the user to understand his or her own situation.

In the information processing method, a computer having a memory unit 26 that stores business establishment information executes a first acquisition step of acquiring situation information of a user, a learning model that has previously learned one or more contents related to nursing care services and current and future predicted living situations according to those contents, a prediction step of predicting the user's current and future living situations based on the situation information acquired by the first acquisition step, a second acquisition step of acquiring a service business corresponding to the user's living situation predicted by the prediction step based on the business establishment information stored in the memory unit 26, and an output control step of controlling the output of the user's current and future living situations predicted by the prediction step and the service business acquired by the second acquisition step.
As a result, the information processing method can predict the current and future living conditions of the user and present service establishments according to the prediction. In this case, the information processing method predicts the current and future living conditions of the target user based on a pre-trained learning model, for example, based on past cases of multiple people, so that the accuracy of the prediction can be improved. In addition, since the information processing method obtains service establishments according to the predicted current and future living conditions, it is possible to present the target user with service establishments suitable for the user, and it is possible to prevent the user's future living conditions from becoming worse than they are now.

The information processing program causes a computer to realize a memory function that stores business establishment information, a first acquisition function that acquires situation information of a user, a learning model that has pre-learned one or more contents related to nursing care services and current and future predicted living situations according to those contents, a prediction function that predicts the user's current and future living situations based on the situation information acquired by the first acquisition function, a second acquisition function that acquires service business establishments corresponding to the user's living situation predicted by the prediction function based on the business establishment information stored in the memory function, and an output control function that controls the output of the user's current and future living situations predicted by the prediction function and the service business establishments acquired by the second acquisition function.
This allows the information processing program to predict the user's current and future living conditions and present service establishments according to the prediction. In this case, the information processing program predicts the current and future living conditions of the target user based on a learning model that has been learned in advance, for example, based on past cases of multiple people, so that the accuracy of the prediction can be improved. In addition, since the information processing program obtains service establishments according to the predicted current and future living conditions, it is possible to present the target user with service establishments suitable for the user, and it is possible to prevent the user's future living conditions from becoming worse than they are now.

Each of the above-described units of the information processing device 20 may be realized as a function of a processing unit of a computer, etc. 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 device 20 may be realized as a first acquisition function, a prediction function, a second acquisition function, and an output control function, respectively, by the processing unit of a computer, etc.
The information processing program can cause a computer to realize each of the above-mentioned functions. The information processing program may be recorded in a non-transitory computer-readable recording medium, such as an external memory or an optical disk.
As described above, each unit of the information processing device 20 may be realized by an arithmetic processing device of a computer or the like. The arithmetic processing device or the like is configured by, for example, an integrated circuit or the like. Therefore, each unit of the information processing device 20 may be realized as a circuit that constitutes the arithmetic processing device 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 device 20 may be realized as a first acquisition circuit, a prediction circuit, a second acquisition circuit, and an output control circuit that constitute the arithmetic processing device of a computer or the like.
The storage unit 26, the communication unit 27, and the display unit 28 (output unit) of the information processing device 20 may be realized as a storage function, a communication function, and a display function (output function) including the functions of an arithmetic processing device, etc. The storage unit 26, the communication unit 27, and the display unit 28 (output unit) of the information processing device 20 may be realized as a storage circuit, a communication circuit, and a display circuit (output circuit) by being configured, for example, by an integrated circuit, etc. The storage unit 26, the communication unit 27, and the display unit 28 (output unit) of the information processing device 20 may be realized as a storage device, a communication device, and a display device (output device) by being configured, for example, by being configured by a plurality of devices.

Reference Signs List 1 Information processing system 10 User terminal 20 Information processing device 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 (7)

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 place of business acquired by the second acquisition unit;
Equipped with
The storage unit stores establishment information including feature information related to features of the establishment,
The second acquisition unit acquires an establishment having a characteristic 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 characteristic information included in the establishment information stored in the storage unit;
The first acquisition unit acquires, as status information, medical information generated based on the user's examination at a medical institution, nursing care information generated based on a survey conducted for the user to receive nursing care services, and health checkup information generated based on the user's medical checkup at a medical institution at multiple points in time;
The prediction unit predicts an index related to one or more future activities of daily living 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 activities of daily living as a living situation, and based on medical information, nursing care information, and health checkup information at multiple points in time acquired by the first acquisition unit.
Information processing device. The first acquisition unit acquires situation information including residence information related to a residential area of the user,
The information processing device according to claim 1 , wherein the second acquisition unit acquires establishments located in a residential area of the user based on residence information included in the situation information acquired by the first acquisition unit. The information processing device according to claim 1 , wherein the output control unit is configured to control, when one of the one or more establishments acquired by the second acquisition unit is selected, the selected establishment is output. 3. The information processing device according to claim 1, wherein the output control unit controls the user's future living situation predicted by the prediction unit and the business establishments acquired by the second acquisition unit to be output to a user terminal used by the user. The second acquisition unit acquires information about a business establishment whose characteristic information includes maintenance of motor function when a relative deterioration of the user's motor function is predicted based on the index related to one or more future daily living activities of the user predicted by the prediction unit, and
When it is predicted that the user's walking function will deteriorate in the future based on the indexes related to one or more future daily living activities of the user predicted by the prediction unit, information on a business establishment whose characteristic information includes preventive services is acquired in the business establishment information stored in the storage unit.
The information processing device according to claim 1 . 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;
Run
The storage unit stores establishment information including feature information related to features of the establishment,
The second acquisition step acquires an establishment having a feature corresponding to the user's future living situation predicted by the prediction step based on the situation information acquired by the first acquisition step, based on feature information included in the establishment information stored in the storage unit;
The first acquisition step acquires, as status information, medical information generated based on the user's examination at a medical institution, nursing care information generated based on a survey conducted for the user to receive nursing care services, and health checkup information generated based on the user's medical checkup at a medical institution at multiple points in time;
The prediction step predicts an index related to one or more future activities of daily living of the user based on the 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 index related to one or more activities of daily living as a life situation, and based on the medical information, care information, and health check information at multiple points in time acquired by the first acquisition step.
Information processing methods. 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;
Realize this ,
The storage function stores establishment information including feature information related to the characteristics of the establishment;
The second acquisition function acquires an establishment having a characteristic corresponding to the user's future living situation predicted by the prediction function based on the situation information acquired by the first acquisition function, based on characteristic information included in the establishment information stored in the storage function;
The first acquisition function acquires, as status information, medical information generated based on the user's examination at a medical institution, nursing care information generated based on a survey conducted for the user to receive nursing care services, and health checkup information generated based on the user's medical checkup at a medical institution at multiple points in time;
The prediction function predicts an index related to one or more future daily living activities of the user based on the 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 index related to one or more daily living activities as a life situation, and based on medical information, care information, and health check information at multiple points in time acquired by the first acquisition function.
Information processing program.

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