WO2023132218A1

WO2023132218A1 - Information processing device, information processing method, and information processing program

Info

Publication number: WO2023132218A1
Application number: PCT/JP2022/046762
Authority: WO
Inventors: 真旗執行; 高史藤本; 正範勝
Original assignee: ソニーグループ株式会社
Priority date: 2022-01-04
Filing date: 2022-12-20
Publication date: 2023-07-13

Abstract

An information processing device (500) comprises a control unit (530). The control unit (530) acquires subject data regarding a care subject (30). The control unit (530) acquires provider data regarding a care provider (20) who performs care for the care subject (30). The control unit (530) acquires an estimation result of the state of the care provider (20) on the basis of the provider data. The control unit (530) estimates, on the basis of the subject data and the provider data, factors which would cause the state of the care provider (20) to worsen. The control unit (530) determines an operation by which the state would improve.

Description

Information processing device, information processing method and information processing program

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

In recent years, the number of patients receiving nursing care at home has increased due to the progress of the aging society and the enhancement of home medical equipment. Techniques have been developed to provide better care support for such patients at home.

For example, technology is known that efficiently and accurately supports medical care for patients at home. With this technology, by sensing the patient's condition and enabling communication between medical personnel such as doctors and the family who cares for the patient at home according to the patient's condition, It is designed to provide efficient and accurate medical care support.

JP 2016-91226 A

However, in the conventional technology, the target of support was the patient at home, and the family who nursed the patient was not the target of support. Nursing at home places a greater burden on the family than nursing at a hospital. For example, if a family member collapses because they cannot bear the burden, they will not be able to take care of the patient at home, and there is a risk that the patient at home will also collapse. In this way, it is desirable to provide appropriate support not only to home patients (care recipients) but also to the families (care providers) who take care of the patients.

Therefore, the present disclosure provides a mechanism that can provide more appropriate support to care providers who provide care to care recipients.

It should be noted that the above problem or object is only one of the multiple problems or objects that can be solved or achieved by the multiple embodiments disclosed herein.

The information processing device of the present disclosure includes a control unit. The control unit acquires subject data relating to the subject of care. The control unit acquires provider data regarding a care provider who cares for the care recipient. The control unit obtains an estimation result of the condition of the care provider based on the provider data. The control unit estimates a factor that worsens the condition of the care provider based on the subject data and the provider data. A controller determines an action to remedy the condition.

1 is a diagram for explaining an overview of an information processing system according to an embodiment of the present disclosure; FIG. 1 is a block diagram showing a configuration example of an information processing device according to an embodiment of the present disclosure; FIG. 1 is a block diagram showing a configuration example of an information processing device according to an embodiment of the present disclosure; FIG. 1 is a block diagram showing a configuration example of a sensor device according to an embodiment of the present disclosure; FIG. 1 is a block diagram showing a configuration example of a server device according to an embodiment of the present disclosure; FIG. 4 is a flow chart showing an example of a flow of execution processing of a family care flow according to an embodiment of the present disclosure; 4 is a flow chart showing an example of the flow of processing for creating a family care flow according to an embodiment of the present disclosure; FIG. 3 is a diagram illustrating an example of a causal graph according to an embodiment of the present disclosure; FIG. 4 is a flowchart illustrating an example family care flow according to an embodiment of the present disclosure; 4 is a flow chart showing another example family care flow according to an embodiment of the present disclosure; 4 is a flow chart showing another example family care flow according to an embodiment of the present disclosure; FIG. 10 is a diagram showing an example of a flow setting screen for setting a family care flow using a template according to an embodiment of the present disclosure; FIG. FIG. 10 is a diagram showing an example of a period setting screen for setting the application period of the family care flow according to the embodiment of the present disclosure; It is a block diagram showing an example of hardware constitutions of an information processor concerning this embodiment.

Embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. In the present specification and drawings, constituent elements having substantially the same functional configuration are denoted by the same reference numerals, thereby omitting redundant description.

Each of one or more embodiments (including examples and modifications) described below can be implemented independently. On the other hand, at least some of the embodiments described below may be implemented in combination with at least some of the other embodiments as appropriate. These multiple embodiments may include novel features that differ from each other. Therefore, these multiple embodiments can contribute to solving different purposes or problems, and can produce different effects.

<<1. First Embodiment>>
<1.1. Outline configuration example of information processing system>
FIG. 1 is a diagram for explaining an overview of an information processing system 1 according to an embodiment of the present disclosure.

Here, the care recipient is a patient 30 (hereinafter simply referred to as "patient 30") who receives medical support, and the care provider is patient 30's family 20 (hereinafter simply referred to as "family 20"). Assume that there is Also, it is assumed that the family member 20 provides care such as medical support to the patient 30 at home based on instructions from the medical staff 10 such as a doctor.

The information processing system 1 according to the embodiment of the present disclosure supports the family 20 to reduce stress (psychological burden) of the family 20 . Here, the support provided by the information processing system 1 to the family 20 is described as "family care flow".

The information processing system 1 shown in FIG. 1 includes

information processing devices

100 , 200 and 300 , a sensor device 400 and a server device 500 .

(Information processing device 100)
The information processing device 100 is, for example, a device that is placed in a hospital or the like and operated by a medical worker 10 such as a doctor. FIG. 1 shows a PC (Personal Computer) 100A and a smart phone 100B as examples of the information processing device 100 . In this manner, a plurality of information processing apparatuses 100 can be arranged. Further, the information processing apparatus 100 is not limited to the example shown in FIG. 1, and may be, for example, a device such as a tablet terminal or a notebook PC.

The information processing device 100 accepts input from the medical staff 10 . The information processing device 100 transmits information used for care of the patient 30 to the

information processing devices

200 and 300 and the server device 500 via the network 60 according to the input by the medical staff 10 . In addition, the information processing device 100 acquires information to be used for care of the patient 30 via the network 60 from the

information processing devices

200 and 300 and the server device 500 according to input by the medical staff 10 .

The information processing device 100 acquires information on the family care flow from the server device 500, for example. If there is no appropriate family care flow for the family member 20, the information processing device 100 instructs the server device 500 to create an appropriate family care flow.

The information processing device 100, for example, sets a family care flow and notifies the information processing device 200 to execute the set family care flow.

(Information processing device 200)
The information processing device 200 is, for example, a device that is placed in the homes of the family member 20 and the patient 30 (hereinafter also simply referred to as “home”) and is mainly operated by the family member 20 . FIG. 1 shows a PC 200A, a smart phone 200B, and a smartwatch 200C as examples of the information processing device 200 . In this manner, a plurality of information processing apparatuses 200 can be arranged. Further, the information processing device 200 is not limited to the example shown in FIG. 1, and may be a device such as a tablet terminal, a notebook PC, or a wearable terminal, for example.

The information processing device 200, for example, executes a family care flow according to instructions from the information processing device 100, and provides support (operation) to the family 20 to reduce the stress of the family 20.

In addition, the information processing device 200 can sense data related to the family 20 using, for example, a sensor (not shown) installed. The information processing device 200 transmits sensed data to the server device 500, for example.

(Information processing device 300)
The information processing device 300 is, for example, a device placed at home and mainly operated by the patient 30 . FIG. 1 shows a smartphone 300B and a smartwatch 300C as examples of the information processing device 300 . In this manner, a plurality of information processing apparatuses 300 can be arranged. Further, the information processing device 300 is not limited to the example shown in FIG. 1, and may be a device such as a PC, a tablet terminal, a notebook PC, or a wearable terminal, for example.

The information processing device 300 can sense data related to the patient 30 using, for example, a sensor (not shown) mounted. The information processing device 300 transmits sensed data to the server device 500, for example.

(Sensor device 400)
The sensor device 400 is placed at home, for example, and senses data regarding the family member 20 and the patient 30 . Sensor device 400 transmits sensed data to server device 500 via network 60 .

The sensor device 400 may be any device as long as it can perform sensing using a sensor and provide collected data to the server device 500 . Although the example of FIG. 1 shows an example in which the sensor device 400 is a smart speaker, it is not limited to this. For example, the sensor device 400 may be a camera, depth sensor, microphone, illuminance sensor, thermometer, or other device that acquires data about the state of the room and the environment. The sensor device 400 may be a so-called home appliance such as a television or a refrigerator. For example, the sensor device 400 may be a robot that interacts with humans (users, here family 20 and patient 30), such as smart speakers, entertainment robots, and household robots. Moreover, the sensor device 400 may be a device such as a digital signage that is arranged at a predetermined position.

A plurality of sensor devices 400 are placed at home. Thus, the home where the family member 20 and the patient 30 spend is a smart home that can sense the environment and state of the home with the sensor device 400 or the like. At home, a network (not shown) is constructed by, for example, WiFi (registered trademark) or the like. Connecting.

(Server device 500)
The server device 500 is an information processing device that collects data on the family 20 and the patient 30, data on the environment in the home, and the like. The server device 500 creates a family care flow for the family 20, for example. Server device 500 stores the created family care flow. Server device 500 is, for example, a cloud server built on network 60 .

Next, the support processing executed by the information processing system 1 will be described using FIG. Here, for example, the patient 30 has hypertension, and the medical staff 10 determines that the family 20 needs support for daily life. In particular, medical staff 10 advises family members 20 to be careful not to get heat shock when bathing in winter.

Also, the medical staff 10 determines that support for the family 20 is necessary, and instructs the information processing system 1 to support the family 20 via the PC 100A. At this time, the medical staff 10 instructs the information processing system 1 to create a family care flow, assuming that there is no appropriate family care flow for the family 20 . The information processing system 1 creates a family care flow over a period of time (for example, one to several weeks) specified by the medical staff 10 .

First, as shown in FIG. 1, the information processing device 300 or the sensor device 400 of the information processing system 1 detects data of the patient 30 (step S1). Also, the information processing device 300 or the sensor device 400 detects data of the family 20 (step S2).

The server device 500 acquires data of the patient 30 detected by the information processing device 300 or the sensor device 400 (step S3). The server device 500 acquires the data of the family 20 detected by the information processing device 300 or the sensor device 400 (step S4).

The server device 500 creates a family care flow based on the acquired data (step S5). For example, the server device 500 estimates the state of the family 20 (for example, the degree of stress) based on the acquired data of the family 20 . The server device 500 estimates the stress level of the family member 20 by, for example, analyzing heart rate variability (HRV).

The server device 500 estimates factors that worsen the condition of the family member 20 based on the data of the family member 20 and the patient 30 . The server device 500 estimates the factors that worsen the condition of the family 20 using, for example, causal estimation. The server device 500 determines an action that improves the state (for example, stress level) of the family member 20 . Server device 500 determines conditions for performing an action, and creates a flow (process) for performing the action when the condition is met as a family care flow.

In the example of FIG. 1, the server device 500 estimates that the patient's 30 bathing for a long time causes stress to the family 20, based on the data of the family 20 and the patient 30.

The server device 500 uses machine learning, for example, to determine that the stress of the family 20 is reduced when the family 20 is notified of the condition of the patient 30 (information about the patient 30) when the bathing time of the patient 30 has passed for one hour. do.

The server device 500 determines, for example, the action of "notifying the condition of the patient 30 who is taking a bath" as an action that improves the condition of the family member 20. The server device 500 creates a flow of "notifying the family 20 of the condition of the patient 30" as a family care flow, under the condition that the bathing time of the patient 30 has passed one hour.

The server device 500 saves the created family care flow (step S6). At this time, the server device 500 may convert the family care flow into a template and store the family care flow template in a storage unit (not shown).

Next, the information processing device 100 (PC 100A in FIG. 1) sets the family care flow created by the server device 500 (step S7), and instructs the information processing device 200 to execute the set family care flow.

The information processing device 200 (smartphone 200B in FIG. 1) that has received the instruction executes the family care flow (step S8).

Here, an example of a family care flow executed by smartphone 200B will be described. As shown in FIG. 1, the smart phone 200B detects bathing of the patient 30 (step S11). For example, the smartphone 200B detects the bathing of the patient 30 according to the sensing result of a motion sensor provided in a dressing room or the like at home, the usage state of the water heater, and the like.

The smart phone 200B records the bathing state of the patient 30 (step S12). For example, the smart phone 200B records the biological information (vital signs) of the patient 30 as a bathing state via the smart watch 200C. Further, the smartphone 200B measures the elapsed time (bathing time) after the patient 30 starts bathing.

The smart phone 200B determines whether or not the bathing time has exceeded one hour (step S13). If the bathing time has not exceeded one hour (step S13; No), the smartphone 200B returns to step S12.

On the other hand, if the bathing time exceeds one hour (step S13; Yes), the smartphone 200B notifies the family 20 of the state of the patient 30 (step S14).

In this way, the smart phone 200B executes the family care flow regarding bathing of the patient 30, so that the family 20 does not need to pay high attention to bathing of the patient 30. In addition, when the smartphone 200B detects that the patient 30 has bathed for a long time, the smartphone 200B notifies the family 20 of the state of the patient 30, so that the family 20 can check the state of the patient 30 who has been bathing for a long time, for example, to the bathroom. no need to check. Thereby, the information processing system 1 can reduce the burden on the family 20 by executing the family care flow. The information processing system 1 can improve the worsening condition (for example, stress) of the family 20 .

Note that although the smartphone 200B executes the family care flow in FIG. 1, the present invention is not limited to this. For example, PC 200A may execute the family care flow. Thus, the information processing device 200 can execute the family care flow. Alternatively, server device 500 may execute the family care flow. In this case, the server device 500 notifies the family 20 of information (for example, the state of the patient 30 in the example of FIG. 1) via the information processing device 200 . The family care flow may be executed by the information processing system 1, and the device that actually executes it is not particularly limited.

Also, the family care flow shown in Fig. 1 is an example and is not limited to this. Another example of another family care flow will be described later using FIG. 10 and the like.

<<2. Configuration example of information processing system>>
Next, a configuration example of each device of the information processing system 1 according to the embodiment of the present disclosure will be described.

[Information processing device 100]
First, an information processing apparatus 100 that is placed in a hospital or the like and mainly used by medical staff 10 will be described with reference to FIG. FIG. 2 is a block diagram showing a configuration example of the information processing device 100 according to the embodiment of the present disclosure. Information processing apparatus 100 shown in FIG. 2 includes communication unit 110 , storage unit 120 , control unit 130 , and input/output unit 140 .

(Communication unit 110)
The communication unit 110 is a communication interface that communicates with an external device via a network by wire or wirelessly. The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 110 functions as communication means of the information processing device 100 .

(storage unit 120)
The storage unit 120 is a data readable/writable storage device such as a DRAM, an SRAM, a flash memory, or a hard disk. The storage unit 120 functions as storage means of the information processing apparatus 100 .

(Input/output unit 140)
The input/output unit 140 is a user interface for exchanging information with the user. For example, the input/output unit 140 is an operation device such as a keyboard, mouse, operation keys, touch panel, etc. for the user to perform various operations. The input/output unit 140 is a display device such as a liquid crystal display (Liquid Crystal Display) or an organic EL display (Organic Electroluminescence Display). The input/output unit 140 may be an audio device such as a speaker or buzzer. The input/output unit 140 may be a lighting device such as an LED (Light Emitting Diode) lamp. The input/output unit 140 functions as input/output means (input means, output means, operation means, or notification means) of the information processing apparatus 100 .

(control unit 130)
The control unit 130 controls each unit of the information processing device 100 . The control unit 130 stores programs stored inside the information processing apparatus 100 by, for example, a CPU (Central Processing Unit), MPU (Micro Processing Unit), GPU (Graphics Processing Unit), etc., and stores them in a RAM (Random Access Memory) or the like as a work area. It is realized by executing as Also, the control unit 130 is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The control unit 130 includes an input/output control unit 131, a flow acquisition unit 132, and a flow setting unit 133. Each block (input/output control unit 131 to flow setting unit 133) constituting the control unit 130 is a functional block indicating the function of the control unit 130, respectively. These functional blocks may be software blocks or hardware blocks. For example, each of the functional blocks described above may be one software module realized by software (including microprograms), or may be one circuit block on a semiconductor chip (die). Of course, each functional block may be one processor or one integrated circuit. The control unit 130 may be configured in functional units different from the functional blocks described above. The configuration method of the functional blocks is arbitrary.

It should be noted that the control unit 130 may be configured in functional units different from the functional blocks described above. Also, some or all of the blocks (input/output control unit 131 to flow setting unit 133) that make up the control unit 130 may be operated by another device. For example, some or all of the blocks that make up the control unit 130 may be operated by a control device realized by cloud computing.

(Input/output control unit 131)
The input/output control unit 131 controls the input/output unit 140 and presents information to the medical staff 10 . The input/output control unit 131 also controls the input/output unit 140 and receives input from the medical staff 10 . The input/output control unit 131 presents the medical staff 10 with, for example, information on a family care flow, which will be described later.

(Flow acquisition unit 132)
The flow acquisition unit 132 accesses the server device 500 according to instructions from the medical staff 10 and acquires information on the family care flow. The flow acquisition unit 132 acquires, for example, information on a templated family care flow (hereinafter also referred to as “family care flow template”). Also, the flow acquisition unit 132 acquires information on the family care flow created by the server device 500, for example.

(Flow setting unit 133)
The flow setting unit 133 sets a family care flow to be executed by the information processing device 200 according to instructions from the medical staff 10 . The flow setting unit 133 can change the family care flow template and set a new family care flow, for example, according to instructions from the medical staff 10 . The flow setting unit 133 notifies the information processing device 200 to execute the set family care flow.

[Information processing device 200]
The information processing apparatus 200 that is placed at home or the like and mainly used by the family 20 will be described with reference to FIG. Note that the information processing apparatus 300, which is placed at home or the like and is mainly used by the patient 30, can be configured in the same manner as the information processing apparatus 200, and thus description thereof will be omitted here.

FIG. 3 is a block diagram showing a configuration example of the information processing device 200 according to the embodiment of the present disclosure. Information processing apparatus 200 shown in FIG.

(Communication unit 210)
The communication unit 210 is a communication interface that communicates with an external device via a network by wire or wirelessly. The communication unit 210 is implemented by, for example, a NIC (Network Interface Card) or the like. The communication unit 210 functions as communication means of the information processing device 200 .

(storage unit 220)
The storage unit 220 is a data readable/writable storage device such as a DRAM, an SRAM, a flash memory, or a hard disk. The storage unit 220 functions as storage means of the information processing device 200 .

(Input/output unit 240)
The input/output unit 240 is a user interface for exchanging information with the user. For example, the input/output unit 240 is an operation device such as a keyboard, mouse, operation keys, touch panel, etc. for the user to perform various operations. The input/output unit 240 is a display device such as a liquid crystal display (Liquid Crystal Display) or an organic EL display (Organic Electroluminescence Display). The input/output unit 240 may be an audio device such as a speaker or buzzer. The input/output unit 240 may be a lighting device such as an LED (Light Emitting Diode) lamp. The input/output unit 240 functions as input/output means (input means, output means, operation means, or notification means) of the information processing apparatus 200 .

(Detector 250)
The detection unit 250 detects a state of a user (for example, the family member 20) using the information processing device 200. FIG. The detection unit 250 is, for example, a sensor that detects the surrounding situation of the information processing device 200, the state of the family member 20, and the like. The detection unit 250 is a device that detects the surrounding situation of the information processing device 200, the state of the user, and the like. For example, the detection unit 250 includes an RGB camera (image sensor), depth sensor, microphone, acceleration sensor, gyroscope, direction sensor, GPS (Global Positioning System), and biosensors (heartbeat sensor, pulse sensor, perspiration sensor, body temperature sensor, blood pressure sensor, or electroencephalogram sensor). The detection unit 250 may include an environment sensor (temperature sensor, atmospheric pressure sensor, etc.). Also, the detection unit 250 may be a sensor group including a plurality of sensors.

(control unit 230)
The control unit 230 controls each unit of the information processing device 200 . The control unit 230 stores a program stored inside the information processing apparatus 200 by a CPU (Central Processing Unit), MPU (Micro Processing Unit), GPU (Graphics Processing Unit), etc., in a RAM (Random Access Memory) or the like as a work area. It is realized by executing as Also, the control unit 230 is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The control unit 230 includes an input/output control unit 231, a flow acquisition unit 232, a flow execution unit 233, and a state detection unit 234. Each block (input/output control unit 231 to state detection unit 234) constituting control unit 230 is a functional block indicating the function of control unit 230. FIG. These functional blocks may be software blocks or hardware blocks. For example, each of the functional blocks described above may be one software module realized by software (including microprograms), or may be one circuit block on a semiconductor chip (die). Of course, each functional block may be one processor or one integrated circuit. The control unit 230 may be configured by functional units different from the functional blocks described above. The configuration method of the functional blocks is arbitrary.

It should be noted that the control unit 230 may be configured in functional units different from the functional blocks described above. Also, some or all of the blocks (input/output control unit 231 to state detection unit 234) that make up the control unit 230 may be operated by another device. For example, some or all of the blocks that make up the control unit 230 may be operated by a control device realized by cloud computing.

(Input/output control unit 231)
Input/output control unit 231 controls input/output unit 240 and presents information to family 20 . The input/output control unit 231 also controls the input/output unit 240 and receives input from the family member 20 . The input/output control unit 231 presents, for example, information about the state of the patient 30 to the family 20, which will be described later.

(Flow acquisition unit 232)
The flow acquisition unit 232 accesses the server device 500 according to an instruction from the information processing device 100 and acquires information on the family care flow. The flow acquisition unit 232 acquires, for example, information on the family care flow set by the medical staff 10 via the information processing device 100 .

(Flow execution unit 233)
The flow execution unit 233 executes the family care flow acquired by the flow acquisition unit 232 . The flow execution unit 233 executes the family care flow for a period set by the medical staff 10 according to instructions from the information processing device 100, for example.

(State detector 234)
The state detection unit 234 detects the state of the family member 20 based on the result of sensing by the detection unit 250, for example. The state detection unit 234, for example, controls the detection unit 250 and acquires the state of the family member 20. FIG. The state detection unit 234 transmits the obtained state of the family member 20 to the server device 500, for example.

It should be noted that, for example, when the information processing device 300 does not execute the family care flow, the flow acquisition unit 232 and the flow execution unit 233 may be omitted from the information processing device 300 . In this case, the information processing device 300 has, for example, an input/output control unit 231 and a state detection unit 234, and performs detection of the state of the patient 30, transmission of the state of the family member 20, and the like.

Although the information processing device 200 detects the state of the family member 20 and the information processing device 300 detects the state of the patient 30, the present invention is not limited to this. For example, the information processing device 200 may detect the state of the family 20 , and the information processing device 300 may detect the state of the family 20 . Thus, for example, an

information processing device

200, 300 installed in a smart home can detect the status of a family member 20 and a patient 30 living in the smart home.

[Sensor device 400]
A sensor device 400 arranged at home or the like will be described with reference to FIG. FIG. 4 is a block diagram showing a configuration example of the sensor device 400 according to the embodiment of the present disclosure. For example, the sensor device 400 shown in FIG. 4 includes a communication unit 410, a storage unit 420, a control unit 430, and a detection unit 440.

(Communication unit 410)
The communication unit 410 is a communication interface that communicates with an external device via a network by wire or wirelessly. The communication unit 410 is implemented by, for example, a NIC (Network Interface Card) or the like. The communication unit 410 functions as communication means for the sensor device 400 .

(storage unit 420)
The storage unit 420 is a data readable/writable storage device such as a DRAM, an SRAM, a flash memory, or a hard disk. The storage unit 420 functions as storage means for the sensor device 400 .

(Detector 440)
The detector 440 detects the status of a user (eg, family member 20 or patient 30) in the smart home. The detection unit 440 is a sensor that detects, for example, the circumstances around the sensor device 400, the conditions of the family 20 and the patient 30, and the like. The detection unit 440 is a device that detects the surrounding conditions of the sensor device 400, the state of the user, and the like. For example, the detection unit 440 includes at least one of an RGB camera (image sensor), depth sensor, microphone, acceleration sensor, gyroscope, direction sensor, GPS (Global Positioning System), and environmental sensor (temperature sensor, atmospheric pressure sensor, etc.). can contain one. The detection unit 440 may include a biosensor (heartbeat sensor, pulse sensor, perspiration sensor, body temperature sensor, blood pressure sensor, electroencephalogram sensor, or the like). Also, the detection unit 440 may be a sensor group including a plurality of sensors.

(control unit 430)
The controller 430 controls each part of the sensor device 400 . The control unit 430 uses, for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), a GPU (Graphics Processing Unit), or the like to store programs stored inside the sensor device 400 using a RAM (Random Access Memory) or the like as a work area. It is realized by being executed. Also, the control unit 430 is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The control unit 430 includes a state detection unit 431. A block (state detection unit 431 ) configuring the control unit 430 is a functional block indicating the function of the control unit 430 . This functional block may be a software block or a hardware block. For example, the functional blocks described above may be one software module realized by software (including microprograms), or one circuit block on a semiconductor chip (die). Of course, the functional block may be one processor or one integrated circuit. The control unit 430 may be configured by functional units different from the functional blocks described above. The configuration method of the functional blocks is arbitrary.

It should be noted that the control unit 430 may be configured in functional units different from the functional blocks described above. Further, a part or all of the block (state detection unit 431) constituting the control unit 430 may be operated by another device. For example, some or all of the blocks that make up the control unit 430 may be operated by a control device realized by cloud computing.

(State detector 431)
The state detection unit 431 detects the states of the family member 20 and the patient 30 based on the result of sensing by the detection unit 440, for example. The state detection unit 431 , for example, controls the detection unit 440 and acquires the states of the family member 20 and the patient 30 . The state detection unit 431 , for example, transmits the acquired states of the family member 20 and the patient 30 to the server device 500 .

Note that the sensor device 400 may include an input/output unit in addition to the configuration shown in FIG. For example, if the sensor device 400 is a smart speaker, the sensor device 400 may have a speaker and a microphone as input/output units.

[Server device 500]
The server device 500 will be described with reference to FIG. FIG. 5 is a block diagram showing a configuration example of the server device 500 according to the embodiment of the present disclosure. For example, server device 500 shown in FIG. 5 includes communication unit 510 , storage unit 520 , and control unit 530 .

(Communication unit 510)
The communication unit 510 is a communication interface that communicates with an external device via a network by wire or wirelessly. The communication unit 510 is realized by, for example, a NIC (Network Interface Card) or the like. Communication unit 510 functions as communication means for server device 500 .

(storage unit 520)
The storage unit 520 is a data readable/writable storage device such as a DRAM, an SRAM, a flash memory, or a hard disk. Storage unit 520 functions as storage means of server device 500 .

(control unit 530)
The control unit 530 controls each unit of the server device 500 . The control unit 530 uses, for example, a CPU (Central Processing Unit), MPU (Micro Processing Unit), GPU (Graphics Processing Unit) or the like to store programs stored inside the server device 500 using RAM (Random Access Memory) or the like as a work area. It is realized by being executed. Also, the control unit 530 is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

The control unit 530 includes a state acquisition unit 531, a flow generation unit 532, and a template generation unit 533. Each block (state acquisition unit 531 to template generation unit 533) constituting control unit 530 is a functional block indicating the function of control unit 530. FIG. These functional blocks may be software blocks or hardware blocks. For example, each of the functional blocks described above may be one software module realized by software (including microprograms), or may be one circuit block on a semiconductor chip (die). Of course, each functional block may be one processor or one integrated circuit. The control unit 530 may be configured by functional units different from the functional blocks described above. The configuration method of the functional blocks is arbitrary.

It should be noted that the control unit 530 may be configured in functional units different from the functional blocks described above. Also, some or all of the blocks (state acquisition unit 531 to template generation unit 533) constituting control unit 530 may be performed by another device. For example, some or all of the blocks that make up the control unit 530 may be operated by a control device realized by cloud computing.

(State acquisition unit 531)
The state acquisition unit 531 acquires the states of the family member 20 and the patient 30 acquired by the

information processing devices

200 and 300 and the sensor device 400, for example. The state acquisition unit 531 stores the acquired state in the storage unit 520, for example. The state acquisition unit 531 outputs the acquired state to the flow generation unit 532, for example.

(Flow generator 532)
Flow generator 532 generates a family care flow based on instructions from information processing apparatus 100 . The flow generation unit 532 generates a family care flow by executing flow generation processing, which will be described later.

(Template generator 533)
The template generation unit 533 converts the family care flow generated by the flow generation unit 532 into a template to generate a family care flow template. Template generation unit 533 stores the generated template in storage unit 520 .

<<3. Execution processing of family care flow >>
Next, the execution processing of the family care flow executed by the information processing system 1 according to the embodiment of the present disclosure will be described.

[Execution processing of family care flow]
FIG. 6 is a flow chart showing an example of the flow of execution processing of the family care flow according to the embodiment of the present disclosure. The execution process shown in FIG. 6 is executed by the information processing apparatus 100, for example. The execution process shown in FIG. 6 is executed by the information processing device 100 by the operation of the information processing device 100 by a doctor (an example of the medical staff 10) who diagnosed the patient 30, for example.

As shown in FIG. 6, the information processing device 100 first determines whether patient care by the family member 20 is necessary (step S101). The information processing apparatus 100 determines whether or not the care of the patient 30 by the family member 20 is necessary, for example, based on an instruction (input) from the medical staff 10 .

If care for the patient 30 is unnecessary (step S101; No), the information processing device 100 terminates the execution process. On the other hand, if the patient 30 needs care (step S101; Yes), the information processing apparatus 100 determines whether or not there is a family care flow template (step S102).

The information processing device 100 presents the medical staff 10 with a list of family care flow templates, for example. When the medical staff 10 selects a template from the list, the information processing apparatus 100 determines that there is a family care flow template. On the other hand, when the medical staff 10 makes an input indicating that there is no template to select, the information processing apparatus 100 determines that there is no template for the family care flow. The input indicating that there is no template to select is, for example, an input instructing creation of a new family care flow (for example, clicking a family care flow creation button displayed on the screen).

When it is determined that there is no family care flow template (step S102; Yes), the information processing device 100 executes a family care flow creation process (step S103). The information processing device 100, for example, instructs the server device 500 to execute the process of creating a family care flow.

[Family care flow creation process]
Here, an example of processing for creating a family care flow will be described with reference to FIG. FIG. 7 is a flowchart showing an example of the flow of family care flow creation processing according to the embodiment of the present disclosure. The creation process shown in FIG. 7 is executed by the server device 500 . Server device 500 executes the creation process shown in FIG. 7 according to instructions from information processing device 100 .

As shown in FIG. 7, the server device 500 acquires sensing data of the patient 30 (step S201). For example, the server device 500 acquires information regarding the state of the patient 30 detected by the information processing device 300 and the sensor device 400 as sensing data.

The server device 500 estimates the behavior/stress of the patient 30 based on the sensing data of the patient 30 (step S202).

The server device 500 estimates the behavior of the patient 30 (bath, walk, restroom, meal, etc.) based on the location information (eg, indoor/outdoor, etc.) and movement information (eg, acceleration, etc.) of the patient 30, for example.

For example, when the sensor device 400 senses that the patient 30 has entered the bathroom, the server device 500 estimates that the patient 30 is taking a bath. Here, the sensor device 400 senses the entry of the patient 30 into the bathroom by indoor positioning using a beacon transmitted by the smart watch 300C (see FIG. 1) worn by the patient 30, for example.

For example, the server device 500 estimates the movement state (walking, running, stopping, etc.) of the patient 30 from the acceleration signal pattern detected by the smart watch 300C (see FIG. 1). Known techniques disclosed in Japanese Patent No. 5028751 and Japanese Patent Application Laid-Open No. 2010-198595 can be used as such a technique for recognizing the behavior of the user (here, the patient 30).

The server device 500 also estimates the stress of the patient 30 using heart rate variability (HRV) analysis. A variety of existing techniques can be adopted as a method of estimating stress using heart rate variability. Note that it is only necessary to estimate the stress level of the patient 30, and the server device 500 may estimate the stress level using data (indices) other than heart rate variability.

Subsequently, as shown in FIG. 7, the server device 500 acquires the sensing data of the family 20 (step S203). For example, the server device 500 acquires information regarding the state of the family member 20 detected by the information processing device 200 and the sensor device 400 as sensing data.

The server device 500 estimates the behavior/stress of the family 20 based on the sensing data of the family 20 (step S204). The method of estimating the behavior/stress of the family member 20 by the server device 500 is the same as the method of estimating the behavior/stress of the patient 30 performed by the server device 500 in step S202.

Next, the server device 500 synchronizes patient data and family data (step S205). For example, the server device 500 synchronizes the behavior/stress of the patient 30 as patient data and the behavior/stress of the family 20 as family data. For example, the server device 500 synchronizes the behavior of the patient 30 and the behavior of the family member 20 at the same time. It is assumed that the server device 500 holds time information of behavior/stress of the patient 30 or the family member 20 as a time stamp, for example.

The server device 500 uses the synchronized patient data and family data to identify the cause of stress in the family 20 (step S206). For example, server device 500 uses causal inference to estimate the cause of stress for family member 20 .

For example, the server device 500 routinely collects and analyzes data on the family 20 and the patient 30, and creates a relational graph of each data. For example, the server device 500 uses the stress level of the family member 20 as an objective variable, and creates a relationship graph (causal graph) of factor variables caused by the objective variable. The server device 500 can use, for example, CALC (registered trademark), which is a causal analysis algorithm provided by Sony Computer Science Laboratories, Inc., to create and analyze the relationship graph. This enables server device 500 to analyze complex causal relationships between multiple variables. Algorithms other than CALC may be used as causal analysis algorithms. The causal analysis algorithm used by server device 500 is not particularly limited.

FIG. 8 is a diagram showing an example of a causal graph according to the embodiment of the present disclosure. Suppose that the server device 500 sets the objective variable 2001 to "family stress level" and performs causal analysis. In this case, in the example of FIG. 8, the server device 500 generates a causal graph including the causal variable 2002 "patient's going out time", the causal variable 2003 "patient's bathing time", the causal variable 2004 "family sleeping time", etc. do. Note that the causal graph shown in FIG. 8 may be a part of the causal graph generated by server device 500 . That is, server device 500 can generate a causal graph including causal variables other than the causal variables shown in FIG.

The server device 500, for example, identifies the factor variable that causes the stress level of the family 20 based on the causal graph. Based on the causal graph, the server device 500 estimates, for example, the causal variable having the strongest causal relationship with the stress level of the family 20 as the cause of the deterioration of the stress level of the family 20 .

The server device 500, for example, inputs the behavior of the patient 30 and the family 20 and the time (time stamp) at which the behavior was performed, and generates a model that outputs the causal variable that most affects the stress level of the family 20. can be The server device 500 uses the model to identify behaviors (factor variables) of the family 20 and the patient 30 that cause the stress of the family 20 to worsen.

For example, here, it is assumed that the server device 500 has identified "the patient's 30 bathing for a long time" (the patient's 30 bathing time) as a causal variable that exacerbates the stress level of the family member 20 .

Return to Figure 7. The server device 500 determines whether or not the cause of stress identified in step S206 is the behavior of the patient 30 (step S207). For example, if the causal variable identified in step S206 is the patient's 30 behavior, the server device 500 determines that the patient's 30 behavior is the cause of stress for the family 20 .

When determining that the cause of stress for the family 20 is the behavior of the patient 30 (step S207; Yes), the server device 500 executes first reinforcement learning (step S208).

Here, reinforcement learning is learning performed by trial and error using three elements (state, action, and reward). When the information processing device 200 performs a certain "action" in a certain "state", the server device 500 repeats a process of giving a "reward" if the action is correct. In this way, the server device 500 repeats trial and error so as to increase the amount of reward given, thereby determining appropriate “actions” in various “states”.

The server device 500 performs the first reinforcement learning and determines the "behavior" that improves the stress level of the family member 20. That is, the server device 500 performs the first reinforcement learning with the "reward" as the reduction in the stress level of the family member 20, the "state" as the current behavior of the family member 20, and the elapsed time from the stress-causing behavior of the patient 30. I do. At this time, the server device 500 selects the “behavior” (movement) corresponding to the stress-causing behavior of the patient 30 and performs the first reinforcement learning.

For example, as described above, when the server device 500 estimates that the patient's 30 bathing behavior for a long time is a factor that exacerbates the stress level of the family 20, the server device 500 outputs "state of the patient 30 to the family 20. "notification" is set to "behavior" of the first reinforcement learning. In this way, it is assumed that behaviors of the patient 30 that cause stress (hereinafter also referred to as stress behaviors) are associated in advance with "behaviors" that are selected during reinforcement learning. In other words, it is assumed that an intervention method is determined in advance for each factor variable specified as stress behavior.

The server device 500 executes what kind of 'action' in which 'state' according to how much the 'reward' changes when the 'action' is performed while changing the 'state'.

For example, assume that the server device 500 estimates that the long-time bathing behavior of the patient 30 is a factor that exacerbates the stress level of the family member 20 . In this case, the server device 500 notifies (acts) the condition of the patient 30 to the family 20 while changing the time (condition) after the bathing of the patient 30, and how much the stress level of the family 20 is reduced. learn what

Specifically, the server device 500 first instructs the information processing device 200 to notify the family 20 of the condition of the patient 30 after two hours have passed since the bathing of the patient 30 was detected. Server device 500 estimates the stress level of family member 20 who has received the notification. At this time, it is assumed that the improvement in the stress level of the family 20 was small.

Next, the server device 500 instructs the information processing device 200 to change the time until the status of the patient 30 is notified to one hour. The information processing device 200 notifies the family 20 of the condition of the patient 30, for example, one hour after the information processing device 300 detects that the patient 30 has taken a bath. Server device 500 estimates the stress level of family member 20 who has received the notification. At this time, it is assumed that the stress level of the family member 20 has improved more than when the notification is given after two hours have elapsed.

The server device 500 instructs the information processing device 200 to change the time until notification of the state of the patient 30 to 30 minutes. The information processing device 200 notifies the family 20 of the condition of the patient 30, for example, 30 minutes after the information processing device 300 detects that the patient 30 has taken a bath. Server device 500 estimates the stress level of family member 20 who has received the notification. It is assumed that the stress level of the family member 20 at this time has not improved as much as in the case where the notification is made after one hour has passed.

The server device 500 changes the "state" (e.g., the elapsed time after bathing) while performing the "action" (e.g., notification of the patient's state), so that the "reward" (e.g., improvement of the stress level). Determine the highest 'state' 'behavior' (eg, notification 1 hour after bathing).

The server device 500 executes the first reinforcement learning as step S208 for a certain period of time or until a predetermined "reward" is obtained (for example, the stress degree is improved by a predetermined value or more).

As shown in FIG. 7, when it is determined that the cause of stress for the family member 20 is not the behavior of the patient 30 (step S207; No), the server device 500 executes second reinforcement learning (step S209).

If the cause of stress in the family 20 is not the behavior of the patient 30, it is considered that the family 20 itself is under stress. Therefore, the server device 500 performs the second reinforcement learning with the “reward” as the improvement of the stress level of the family 20 and the “condition” as, for example, the number of times the family 20 eats or speaks.

At this time, the server device 500, for example, notifies a predetermined person (third party) of information about the family 20, or notifies the family 20 of predetermined information that allows them to relax. choose action. Specifically, the server device 500 selects "request a third party to contact the family member 20", "present recommended information to the family member 20", or the like as the "behavior". Also in this case, it is assumed that the "behavior" selected by server device 500 is predetermined.

The third party here includes, for example, relatives of the family 20. For example, the family 20 may register third parties in the server device 500 in advance via the medical staff 10 or the like.

The server device 500 executes the second reinforcement learning as step S209 for a certain period of time or until a predetermined "reward" is obtained (for example, the stress degree is improved by a predetermined value or more).

Here, it is determined that server device 500 executes the second reinforcement learning to perform an action of requesting a third person who is a registrant to contact family member 20 when a predetermined condition is satisfied. shall be Note that the predetermined condition is, for example, that at least one of "the amount of communication is zero", "the number of meals is 0", and "the number of times of going out is 0" is satisfied in a certain period of time.

Here, by performing reinforcement learning (first and second reinforcement learning) by the server device 500, the action to improve the stress level of the family 20 and the condition (state) for executing the action are determined. but not limited to this. Server device 500 may determine these actions and conditions using general machine learning, such as unsupervised learning and supervised learning, for example. That is, the server device 500 only needs to determine an action to improve the stress level of the family member 20 and a condition (state) for executing the action, and the method used for the determination is not particularly limited.

As shown in FIG. 7, the server device 500 performs the first reinforcement learning or the second reinforcement learning to determine the "behavior" in the predetermined "state", and the "state" (condition) and the "behavior" Based on (action), a family care flow is created (step S210).

(Example of family care flow)
(Example of long bathing)
Here, an example of a family care flow created by server device 500 will be described with reference to FIGS. 9 to 11. FIG.

FIG. 9 is a flow chart showing an example of a family care flow according to an embodiment of the present disclosure. In FIG. 9 , for example, when the stress behavior is “patient 30 bathing for a long time”, the server device 500 performs the first reinforcement learning to perform “patient 30 It shows an example of a family care flow when it is decided to notify the state (action). The family care flow shown in FIG. 9 is executed by the information processing device 200, for example.

The information processing device 200 detects bathing of the patient 30 (step S11). The information processing device 200 detects bathing of the patient 30 based on sensing data of the information processing device 300 and/or the sensor device 400, for example.

The information processing device 200 may acquire the sensing data directly from the information processing device 300 and/or the sensor device 400 or through the server device 500 . Alternatively, at least one of the information processing device 300, the sensor device 400, and the server device 500 may detect bathing of the patient 30 and notify the information processing device 200 of the detection result.

The information processing device 200 records the bathing state of the patient 30 (step S12). For example, the information processing device 200 records biological information of the patient 30 . Alternatively, the information processing device 200 may estimate and record the bathing behavior of the patient 30, such as "use a shower" and "bath in a bathtub". The information processing device 200 can acquire the bathing state of the patient 30 from at least one of the information processing device 300 , the sensor device 400 and the server device 500 .

Alternatively, instead of the information processing device 200, the server device 500 or the information processing device 300 may record the patient's 30 bathing state.

Next, the information processing device 200 determines whether or not the bathing time has exceeded one hour (step S13). If the bathing time of the patient 30 has not exceeded one hour (step S13; No), the information processing device 200 returns to step S13.

If the bathing time of the patient 30 exceeds one hour (step S13; Yes), the information processing device 200 notifies the family 20 of the state of the patient 30 (step S14). For example, the information processing device 200 notifies the family 20 of the patient's 30 biometric information and bathing behavior information using e-mail or the like.

In this way, the information processing system 1 determines behavior that improves the stress level of the family member 20 through the first reinforcement learning, and creates a family care flow including the behavior. As a result, the information processing system 1 can provide appropriate support to the family 20 by executing the family care flow, thereby improving the stress level of the family 20 .

(Example of going out alone)
Next, another example of family care flow will be described with reference to FIG. FIG. 10 is a flow chart showing another example family care flow according to an embodiment of the present disclosure. Here, it is assumed that the server device 500 specifies, for example, that the stress behavior is "patient 30 going out alone". Further, in this case, the server device 500, through the first reinforcement learning, “notifies the current position of the patient 30” (behavior) when “three hours have passed since going out” or “the distance from home is 2 km” (status) A family care flow shall be created when it is decided to do so. The family care flow shown in FIG. 10 is executed by the information processing device 200, for example.

The information processing device 200 detects that the patient 30 has gone out alone (step S21). The information processing device 200 detects going out of the patient 30 alone based on sensing data of the information processing device 300 and/or the sensor device 400, for example. The information processing device 200 detects that the patient 30 has gone out alone, for example, based on an image captured by a camera (an example of the sensor device 400) installed at the entrance.

The information processing device 200 may acquire sensing data (for example, a captured image) directly from the information processing device 300 and/or the sensor device 400 or through the server device 500 . Alternatively, at least one of the information processing device 300, the sensor device 400, and the server device 500 may detect that the patient 30 goes out alone, and notify the information processing device 200 of the detection result.

The information processing device 200 notifies the family 20 that the patient 30 is going out alone (step S22), and records the time and route of the patient 30 (step S23). For example, the information processing device 200 records position information of the patient 30 . The information processing device 200 can acquire the position information of the patient 30 from at least one of the information processing device 300 and the server device 500 .

Alternatively, the position information of the patient 30 may be recorded by the server device 500 or the information processing device 300 instead of the information processing device 200 .

Next, the information processing device 200 determines whether or not the outing time has exceeded 3 hours (step S24). If the patient 30 alone has gone out for more than three hours (step S24; Yes), the information processing apparatus 200 proceeds to step S26.

If the patient's 30 single outing time has not exceeded 3 hours (step S24; No), the information processing device 200 determines whether the distance from home has exceeded 2 km (step S25). If the distance between the current position of the patient 30 and his/her home does not exceed 2 km (step S25; No), the information processing device 200 returns to step S24.

If the distance between the current position of the patient 30 and the home exceeds 2 km (step S25; Yes), the information processing device 200 notifies the family 20 of the current position of the patient 30 (step S26). . For example, the information processing device 200 notifies the family 20 of information regarding the current position of the patient 30 using e-mail or the like.

(Example when the behavior of the patient 30 is not the cause of stress)
FIG. 11 is a flow chart showing another example family care flow according to an embodiment of the present disclosure. FIG. 11 shows an example of a family care flow created by the server device 500 when the cause of stress for the family 20 is not the behavior of the patient 30, for example.

Server device 500, for example, when at least one of “the amount of communication is zero”, “the number of meals is 0”, and “the number of times of going out is 0” is satisfied (state), “a third party Suppose you decide to "(action) request to contact your family. Server device 500, for example, executes the second reinforcement learning to create the family care flow shown in FIG. The family care flow shown in FIG. 11 is executed by the information processing device 200, for example.

The information processing device 200 records the communication amount of the family 20 (step S31). The information processing device 200 records, for example, conversation time of the family 20 as communication amount based on sensing data of the information processing device 200 and/or the sensor device 400, for example.

The information processing device 200 detects the number of meals the family 20 has (step S32). The information processing device 200 detects, for example, the number of times the family 20 eats based on sensing data from the information processing device 200 and/or the sensor device 400 .

The information processing device 200 detects the number of times the family member 20 goes out (step S33). The information processing device 200 detects, for example, the number of times the family member 20 goes out, based on the sensing data of the information processing device 200 and/or the sensor device 400, for example.

The information processing device 200 may acquire the sensing data directly from the sensor device 400 or through the server device 500 . Alternatively, at least one of the sensor device 400 and the server device 500 may perform at least one of recording the communication amount of the family 20, detecting the number of meals, and detecting the number of going out. In this case, the information processing device 200 acquires these execution results from at least one of the sensor device 400 and the server device 500 .

Next, the information processing device 200 determines whether or not the amount of communication for a certain period of time is zero (step S34). If the amount of communication (for example, the amount of conversation) of the family 20 during the fixed period is zero (step S34; Yes), the information processing device 200 proceeds to step S37.

When the amount of communication (for example, the amount of conversation) of the family 20 during the fixed period is not zero (step S34; No), the information processing device 200 determines whether or not the number of meals during the fixed period is zero (step S35). If the number of times the family member 20 eats for a certain period of time is zero (step S35; Yes), the information processing device 200 proceeds to step S37.

If the number of meals of the family 20 during the fixed period is not zero (step S35; No), the information processing device 200 determines whether or not the number of times of going out during the fixed period is zero (step S36). If the number of times the family member 20 goes out during the fixed period is not zero (step S36; No), the information processing device 200 returns to step S31.

If the number of times the family member 20 goes out for a certain period of time is zero (step S36; Yes), the information processing device 200 requests the registrant to contact the family member 20 (step S37). For example, when the family 20 has relatives as registrants, the information processing apparatus 200 notifies the relatives to contact the family 20 .

In this way, the information processing system 1 determines behavior that improves the stress level of the family member 20 through the second reinforcement learning, and creates a family care flow including the behavior. As a result, the information processing system 1 can provide appropriate support to the family 20 by executing the family care flow, and can improve the stress level of the family 20 .

Returning to FIG. 7, the server device 500 that created the family care flow in step S210 next registers the family care flow template (step S211). For example, server device 500 registers the template by converting the created family care flow into a template and recording the templated family care flow in storage unit 520 (see FIG. 5).

The server device 500 can create, as a template, a flow that accepts changes in conditions (states) and actions of the created family care flow, for example. For example, assume that server device 500 has created the family care flow shown in FIG. In this case, the server device 500 can create, as a template, a flow in which, for example, the time until notification (one hour in FIG. 9) and the content of notification to the family 20 (patient status in FIG. 9) can be changed.

By registering the family care flow template in the server device 500, the information processing system 1 can use the template to create a family care flow suitable for the family 20 without creating a new family care flow. . Thereby, the information processing system 1 can provide appropriate support to the family 20 more quickly.

After creating the family care flow and registering the template, the server device 500 ends the family care flow creation process and returns to the family care flow execution process in FIG.

Returning to step S102 in FIG. 6, if it is determined that there is no family care flow template (step S102; Yes), the information processing apparatus 100 sends the server device 500 the family care flow template described with reference to FIGS. An instruction is given to execute care flow creation processing (step S103).

As shown in FIG. 6, when it is determined that there is a family care flow template (step S102; No), the information processing apparatus 100 selects a family care flow to be executed from the template (step S104).

For example, the information processing device 100 presents the medical staff 10 with a list of templates registered in the server device 500 . The information processing device 100 selects a template from the list according to the input from the medical staff 10 and acquires information on the selected template from the server device 500 .

(Flow setting screen)
The information processing device 100 presents the acquired information regarding the template to the medical staff 10 . Here, with reference to FIG. 12, the information regarding the template presented by the information processing apparatus 100 to the medical staff 10 will be described.

FIG. 12 is a diagram showing an example of a flow setting screen for setting a family care flow using templates according to the embodiment of the present disclosure. FIG. 12 shows an example of a flow setting screen using a template created from the family care flow shown in FIG.

As shown in FIG. 12, the flow setting screen presents information about the conditions for starting the family care flow (A1: when bathing is detected) and the action after the start (A2: record the condition of the patient 30). . Further, on the flow setting screen, information regarding an action (A5: send mail) for improving the stress level of the family member 20 and a condition for executing the action (A4: condition) are presented. As shown in FIG. 12, on the flow setting screen, the conditions (for example, the threshold for execution (one hour in FIG. 12) and the conditions for execution (“exceeding” or “below” the threshold)) can be changed. It has become.

In addition, on the flow setting screen, the details of actions for improving the stress level of family members 20 (hereinafter referred to as improvement actions) can be changed. For example, on the flow setting screen, information including the content to be notified by e-mail (A4: patient's biological information) is presented in a changeable state.

The medical staff 10 can create a family care flow suitable for the family 20 by changing the template on the flow setting screen shown in FIG.

Return to Figure 6. The information processing apparatus 100 that created the family care flow in step S103 or step S104 sets the application period of the created family care flow (step S105). For example, the information processing device 100 sets the application period according to the input from the medical staff 10 .

(Period setting screen)
FIG. 13 is a diagram illustrating an example of a period setting screen for setting the application period of the family care flow according to the embodiment of the present disclosure.

As shown in FIG. 13, the information processing device 100 presents the medical staff 10 with a period setting screen on which the start date and end date of the family care flow can be set. Note that the period setting screen shown in FIG. 13 is an example, and the present invention is not limited to this. For example, the period setting screen may be a screen for designating a start date and a period (eg, week, month, year, etc.).

In addition to the period, the period setting screen may accept the designation of the time zone and day of the week to be executed. For example, when the patient 30 bathes in the evening, the information processing apparatus 100 can set a period so that the family care flow is limited to a time zone including the evening (for example, from 15:00 to 20:00). .

Return to Figure 6. The information processing apparatus 100 that has set the application period of the family care flow in step S105 executes the family care flow (step S106). For example, the information processing device 100 instructs the information processing device 200 to execute the family care flow.

Next, the information processing apparatus 100 determines whether or not the applicable period of the family care flow has ended (step S107). If the application period has not ended (step S107; No), the information processing apparatus 100 returns to step S106 and continues execution of the family care flow. On the other hand, when the application period has ended (step S107; Yes), the information processing apparatus 100 ends the family care flow execution process.

As described above, the information processing system 1 according to the embodiment of the present disclosure creates and executes a family care flow for the family 20 who cares for the patient 30. This makes it difficult for the family 20 and the medical staff 10 to have a discrepancy, and allows the family 20 and the medical staff 10 to provide more ideal care to the patient 30 .

In addition, the information processing system 1 can thereby provide more appropriate support to the family 20, and the family 20 can further reduce anxiety about patient 30's care. In addition, the information processing system 1 can prevent care fatigue of the family 20 by providing more appropriate support to the family 20, and can suppress collapsing of the family 20 and the patient 30 due to care fatigue. .

The information processing system 1 also acquires data on the family member 20 and the patient 30 based on the detection results of the sensor device 400 and the

information processing devices

200 and 300, for example. The information processing system 1 can select non-wearable devices as the sensor device 400 and the

information processing devices

200 and 300 . That is, the information processing system 1 does not necessarily require a wearable device to acquire data regarding the family member 20 or the patient 30 . Therefore, the information processing system 1 can reduce the burden (stress) felt by the family 20 and the patient 30 by wearing the device.

In this way, the information processing system 1 can support the family 20 and provide more comprehensive patient care. Also, the family care flow can set thresholds and the like according to the life of the family 20 and the patient 30 . Therefore, the information processing system 1 can provide more suitable support for the life of the family 20 and the patient 30 . In addition, by supporting the family 20, it is possible to provide appropriate support to the family 20 before something happens, and the patient 30 and the family 20 can reduce the frequency of worrying about care. can.

<<4. Application example >>
In the above-described embodiment, the case where the information processing system 1 is applied to support the family 20 who takes care of the patient 30 has been described, but the application of the information processing system 1 is not limited to this. The information processing system 1 can be applied, for example, to support caregivers who provide nursing care and caregivers who raise children (for example, guardians such as parents).

<4.1. Application to nursing care>
For example, a case where the information processing system 1 is applied to support a caregiver who provides nursing care will be described. In this case, the care recipient corresponds to a cared person who receives care, and the care provider corresponds to a caregiver who provides care. In addition, in order to alleviate the caregiver's stress when the nursing care flow is executed, a third party requesting contact with the caregiver includes, for example, the caregiver's relatives. Alternatively, when the caregiver works at a care facility or the like, the third party may be the caregiver's boss or colleague at work. The information processing system 1 creates and executes a nursing care flow instead of a family care flow so that the caregiver's stress is alleviated.

For example, the information processing system 1 executes first reinforcement learning and creates a nursing care flow when the care recipient's behavior (hereinafter also referred to as stress behavior) is a factor that exacerbates the caregiver's stress. . The information processing system 1 sets, for example, "decrease in caregiver's stress level" as the "reward". For example, the information processing system 1 changes the "state" such as "current behavior of the caregiver" and "elapsed time from the stress behavior of the caregiver" while "notifying the caregiver of the state of the caregiver". perform “behavior” and detect changes in “reward”. The information processing system 1 creates and executes a nursing care flow including "behavior" with a large "decrease in caregiver's stress level".

For example, assume that the information processing system 1 has identified "abusive language and violence of the care recipient" as a factor variable that worsens the caregiver's stress level. In this case, the information processing system 1 executes the first reinforcement learning and creates a nursing care flow for notifying the caregiver of the timing at which the cared person's emotions are calm. By executing the care flow created by the information processing system 1, the caregiver can recognize the timing when the cared person's emotions are calm, and can contact the cared person at that timing. become. As a result, it can be expected that the cared person's abusive language and violence can be reduced, and the information processing system 1 can provide support for relieving the caregiver's stress.

For example, if the factor that worsens the caregiver's stress level is not the care-receiver's stressful behavior, the information processing system 1 executes second reinforcement learning to create a nursing care flow. The information processing system 1 sets, for example, "decrease in caregiver's stress level" as the "reward". The information processing system 1, for example, while changing the "status" such as "the number of times the caregiver eats" and "the number of times the caregiver speaks (time)", "requests to contact a third party" and "presents recommended information ” and other “actions” to detect changes in “reward”. The information processing system 1 creates and executes a nursing care flow including "behavior" with a large "decrease in caregiver's stress level".

For example, the information processing system 1 executes the second reinforcement learning, detects the number of utterances and the number of meals of the caregiver who is a caregiver, and third parties (for example, colleagues and Create a nursing care flow that notifies the nursing staff's status to the supervisor). By executing the nursing care flow, the information processing system 1 detects that the stress of the nursing staff has accumulated in daily work, and the number of times of speaking and the number of meals have decreased. The information processing system 1 that has detected a decrease in the number of times of speaking or the number of times of eating notifies the caregiver's condition (stress level, etc.) to the superior.

The boss who receives the notification can take paid leave and improve the work content of the nursing staff, which can reduce the stress of the nursing staff. Thus, the information processing system 1 can be applied to support caregivers.

<4.2. Application to childcare>
For example, a case where the information processing system 1 is applied to support a caregiver who takes care of a child will be described. In this case, the care recipient corresponds to a child to be cared for, and the care provider corresponds to the caregiver who takes care of the child. In addition, in order to alleviate the stress of the caregiver during childcare care flow execution, third parties who request contact with the caregiver include, for example, the caregiver's spouse and relatives. The information processing system 1 creates and executes a childcare care flow instead of a family care flow so that the stress of the caregiver is alleviated.

For example, when the child's behavior (hereinafter also referred to as stress behavior) is a factor that exacerbates the stress of the caregiver, the information processing system 1 executes first reinforcement learning and creates a childcare care flow. The information processing system 1, for example, sets "reduction of the stress level of the caregiver" as the "reward". The information processing system 1, for example, changes the "state" such as "current behavior of the caregiver" and "elapsed time from the child's stressful behavior", while changing the "action" of "notifying the caregiver of the child's state". to detect changes in “reward”. The information processing system 1 creates and executes a nursing care flow including "behavior" with a large "decrease in the stress level of the caregiver".

For example, let's say that it is stressful for a caregiver to ask when a child who is taking a nap wakes up from time to time, which hinders routine housework. In this case, the information processing system 1 specifies, for example, "child's awakening from a nap" as a factor variable that increases the stress level of the caregiver.

In this case, the information processing system 1 executes the first reinforcement learning and, for example, creates a childcare care flow that notifies the child's sleeping state at the timing when the caregiver finishes housework. When the information processing system 1 executes the created childcare care flow, the caregiver does not need to check the sleep state of the child when the housework is finished, and can proceed with the housework without asking how the child is doing. become able to. In this way, the information processing system 1 can provide support for alleviating the stress of the caregiver.

For example, if the stress behavior of the child is not the factor that exacerbates the stress level of the caregiver, the information processing system 1 executes the second reinforcement learning and creates a childcare care flow. The information processing system 1, for example, sets "reduction of the stress level of the caregiver" as the "reward". The information processing system 1, for example, changes the "status" such as "number of times the caregiver eats" and "number of times the caregiver speaks (hours)", while changing "request to contact a third party" and "presentation of recommended information". ” and other “actions” to detect changes in “reward”. The information processing system 1 creates and executes a nurturing care flow including 'behavior' with a large 'decrease in the stress level of the caregiver'.

For example, the information processing system 1 executes the second reinforcement learning, detects the number of times the caregiver speaks, the number of meals, etc., and according to the number of times the caregiver speaks, the number of meals, etc. (e.g.) to create a child care flow that requests contact with the caregiver. By executing the childcare care flow, the information processing system 1 detects that the caregiver's stress builds up due to daily childcare, etc., and the number of utterances, the number of meals, and the like decrease. When the information processing system 1 detects a decrease in the number of times of speaking or the number of times of eating, for example, the spouse is requested to communicate with the caregiver.

The spouse who receives the request can communicate with the caregiver and take turns childcare, which can alleviate the caregiver's stress. Thus, the information processing system 1 can be applied to support a caregiver who raises a child.

Thus, the information processing system 1 according to the embodiment of the present disclosure can be applied to various fields without being limited to nursing.

Also, the application of the information processing system 1 is not limited to homes such as smart homes, but can also be applied to various facilities such as nursing homes, hospitals, nursery schools, and offices.

<<5. Other embodiments >>
The processes according to the above-described embodiments may be implemented in various different forms other than the above-described embodiments.

In the above embodiment, at least one of the

information processing devices

200 and 300 and the server device 500 executes the family care flow, but the present invention is not limited to this. For example, an information processing device that executes a family care flow may be placed in a smart home. In this case, the information processing device may control and manage the

information processing devices

200 and 300 and the sensor device 400 .

Also, in the above embodiment, the family care flow is executed until the application period ends, but it is not limited to this. For example, the family care flow may be updated and the updated family care flow may be executed before the application period ends. Updates to the family care flow may occur periodically, for example. Alternatively, updating the family care flow may occur when the improvement in the stress level of the family member 20 becomes small. For example, even if the family care flow is executed, the information processing system 1 updates the family care flow if the stress level of the family member 20 is higher (worse) than a predetermined threshold.

The information processing system 1, for example, executes the process of creating the family care flow shown in FIG. 7 as updating the family care flow. Alternatively, the information processing system 1 may perform the first reinforcement learning or the second reinforcement learning to update the family care flow.

In this way, by updating the family care flow, the information processing system 1 can provide more suitable support for the family 20.

Further, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the illustrated one, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured. Note that this distribution/integration configuration may be performed dynamically.

In addition, the above-described embodiments can be appropriately combined in areas where the processing contents are not inconsistent. Also, the order of the steps shown in the flowcharts and sequence diagrams of the above embodiments can be changed as appropriate.

Also, for example, the present embodiment can be applied to any configuration that constitutes a device or system, such as a processor as a system LSI (Large Scale Integration), a module using a plurality of processors, a unit using a plurality of modules, etc. Furthermore, it can also be implemented as a set or the like (that is, a configuration of a part of the device) to which other functions are added.

In addition, in this embodiment, the system means a set of a plurality of components (devices, modules (parts), etc.), and it does not matter whether all the components are in the same housing. Therefore, a plurality of devices housed in separate housings and connected via a network, and a single device housing a plurality of modules in one housing, are both systems. .

Also, for example, this embodiment can take a configuration of cloud computing in which one function is shared by a plurality of devices via a network and processed jointly.

<<6. Hardware configuration >>
Finally, with reference to FIG. 14, the hardware configuration of the information processing apparatus according to this embodiment will be described. FIG. 14 is a block diagram showing an example of the hardware configuration of the information processing device 800 according to this embodiment. Note that the information processing device 800 shown in FIG. 14 can implement the

information processing devices

100, 200, 300, the sensor device 400, or the server device 500, for example. Information processing by the

information processing apparatuses

100, 200, and 300, the sensor apparatus 400, or the server apparatus 500 according to the present embodiment is realized by cooperation between software and hardware described below.

As shown in FIG. 14, the information processing device 800 includes, for example, a CPU 871, a ROM 872, a RAM 873, a host bus 874, a bridge 875, an external bus 876, an interface 877, an input device 878, and an output device 879. , a storage 880 , a drive 881 , a connection port 882 and a communication device 883 . Note that the hardware configuration shown here is an example, and some of the components may be omitted. Moreover, it may further include components other than the components shown here.

(CPU871)
The CPU 871 functions, for example, as an arithmetic processing device or a control device, and controls all or part of the operation of each component based on various programs recorded in the ROM 872 , RAM 873 , storage 880 , or removable recording medium 901 .

Specifically, the CPU 871 implements operation processing within the 100, 200, 300, the sensor device 400, or the server device 500.

(ROM872, RAM873)
The ROM 872 is means for storing programs read by the CPU 871, data used for calculation, and the like. The RAM 873 temporarily or permanently stores, for example, a program read by the CPU 871 and various parameters that appropriately change when the program is executed.

(Host Bus 874, Bridge 875, External Bus 876, Interface 877)
The CPU 871, ROM 872, and RAM 873 are interconnected via, for example, a host bus 874 capable of high-speed data transmission. On the other hand, the host bus 874 is connected, for example, via a bridge 875 to an external bus 876 with a relatively low data transmission speed. External bus 876 is also connected to various components via interface 877 .

(input device 878)
For the input device 878, for example, a mouse, keyboard, touch panel, button, switch, lever, or the like is used. Furthermore, as the input device 878, a remote controller (hereinafter referred to as a remote controller) capable of transmitting control signals using infrared rays or other radio waves may be used. The input device 878 also includes a voice input device such as a microphone.

(output device 879)
The output device 879 is, for example, a display device such as a CRT (Cathode Ray Tube), an LCD, or an organic EL, an audio output device such as a speaker, headphones, a printer, a mobile phone, a facsimile, or the like, and outputs the acquired information to the user. It is a device capable of visually or audibly notifying Output devices 879 according to the present disclosure also include various vibration devices capable of outputting tactile stimuli.

(storage 880)
Storage 880 is a device for storing various data. As the storage 880, for example, a magnetic storage device such as a hard disk drive (HDD), a semiconductor storage device, an optical storage device, a magneto-optical storage device, or the like is used.

(Drive 881)
The drive 881 is, for example, a device that reads information recorded on a removable recording medium 901 such as a magnetic disk, optical disk, magneto-optical disk, or semiconductor memory, or writes information to the removable recording medium 901 .

(Removable recording medium 901)
The removable recording medium 901 is, for example, DVD media, Blu-ray (registered trademark) media, HD DVD media, various semiconductor storage media, and the like. Of course, the removable recording medium 901 may be, for example, an IC card equipped with a contactless IC chip, an electronic device, or the like.

(Connection port 882)
The connection port 882 is, for example, a USB (Universal Serial Bus) port, an IEEE1394 port, a SCSI (Small Computer System Interface), an RS-232C port, or a port for connecting an external connection device 902 such as an optical audio terminal. be.

(External connection device 902)
The external connection device 902 is, for example, a printer, a portable music player, a digital camera, a digital video camera, an IC recorder, or the like.

(Communication device 883)
The communication device 883 is a communication device for connecting to a network. , a router for ADSL (Asymmetric Digital Subscriber Line), or a modem for various communications.

<<7. Summary>>
Although the preferred embodiments of the present disclosure have been described in detail above with reference to the accompanying drawings, the present technology is not limited to such examples. It is obvious that a person having ordinary knowledge in the technical field of the present disclosure can conceive of various modifications or modifications within the scope of the technical idea described in the claims. are naturally within the technical scope of the present disclosure.

For example, 100, 200, 300, the sensor device 400, or the server device 500 may be installed in hardware such as the CPU, ROM, and RAM incorporated in the above-described 100, 200, 300, the sensor device 400, or the server device 500. It is also possible to create a computer program for exhibiting the function of A computer-readable storage medium storing the computer program is also provided.

Also, the effects described in this specification are merely descriptive or exemplary, and are not limiting. In other words, the technology according to the present disclosure can produce other effects that are obvious to those skilled in the art from the description of this specification in addition to or instead of the above effects.

Note that the present technology can also take the following configuration.
(1)
Get subject data about the subject of care,
obtaining provider data about a care provider who cares for the subject of care;
obtaining an estimated result of the care provider's condition based on the provider data;
Based on the subject data and the provider data, estimating factors that worsen the condition of the care provider,
An information processing apparatus comprising: a control unit that determines an action to improve the condition.
(2)
The information processing apparatus according to (1), wherein, as the operation, the control unit notifies the care provider of information regarding the care recipient.
(3)
The information processing apparatus according to (1) or (2), wherein, as the operation, the control unit notifies a predetermined person of information about the care provider.
(4)
The information processing apparatus according to any one of (1) to (3), wherein the control unit notifies the care provider of predetermined information as the operation.
(5)
The information processing apparatus according to any one of (1) to (4), wherein the control unit executes the operation when the behavior of the care recipient satisfies a predetermined condition.
(6)
The information processing apparatus according to any one of (1) to (5), wherein the control unit executes the operation when the behavior of the care provider satisfies a predetermined condition.
(7)
The information processing apparatus according to any one of (1) to (6), wherein the control unit estimates the factor of deterioration of the condition of the care provider using causal estimation.
(8)
The information processing apparatus according to any one of (1) to (7), wherein the control unit selects the action depending on whether or not the factor is the behavior of the care recipient.
(9)
The information processing apparatus according to any one of (1) to (8), wherein the control unit sets conditions for executing the determined action according to changes in the state of the care provider.
(10)
The information processing device according to any one of (1) to (9), wherein the control unit uses machine learning to set conditions for executing the operation.
(11)
The information processing apparatus according to (10), wherein the machine learning is reinforcement learning in which improvement of the condition of the care provider is rewarded.
(12)
obtaining subject data about the subject of care;
obtaining provider data about a care provider who cares for the subject of care;
obtaining an estimate of the care provider's condition based on the provider data;
estimating factors that worsen the condition of the care provider based on the subject data and the provider data;
determining an action by which the condition improves;
Information processing method including.
(13)
the computer,
Get subject data about the subject of care,
obtaining provider data about a care provider who cares for the subject of care;
obtaining an estimated result of the care provider's condition based on the provider data;
Based on the subject data and the provider data, estimating factors that worsen the condition of the care provider,
An information processing program for functioning as a control unit that determines an operation for improving the state.

1 information processing system 60

network

100, 200, 300

information processing device

110, 210, 410, 510

communication section

120, 220, 420, 520

storage section

130, 230, 430, 530

control section

140, 240 input/output section 250, 440 Detection unit 400 sensor device 500 server device

Claims

Get subject data about the subject of care,
obtaining provider data about a care provider who cares for the subject of care;
obtaining an estimated result of the care provider's condition based on the provider data;
Based on the subject data and the provider data, estimating factors that worsen the condition of the care provider,
An information processing apparatus comprising: a control unit that determines an action to improve the condition.
The information processing apparatus according to claim 1, wherein, as the operation, the control unit notifies the care provider of information regarding the care recipient.
The information processing apparatus according to claim 1, wherein, as the operation, the control unit notifies a predetermined person of information about the care provider.
The information processing apparatus according to claim 1, wherein the control unit notifies the care provider of predetermined information as the operation.
The information processing apparatus according to claim 1, wherein the control unit executes the operation when the behavior of the care recipient satisfies a predetermined condition.
The information processing apparatus according to claim 1, wherein the control unit executes the operation when the behavior of the care provider satisfies a predetermined condition.
The information processing apparatus according to claim 1, wherein the control unit estimates the factor of deterioration of the condition of the care provider using causal estimation.
The information processing apparatus according to claim 1, wherein the control unit selects the action depending on whether or not the factor is the behavior of the care recipient.
The information processing apparatus according to claim 1, wherein the control unit sets conditions for executing the determined operation according to changes in the state of the care provider.
The information processing apparatus according to claim 1, wherein the control unit uses machine learning to set conditions for executing the operation.
The information processing apparatus according to claim 10, wherein the machine learning is reinforcement learning in which improvement of the condition of the care provider is rewarded.
obtaining subject data about the subject of care;
obtaining provider data about a care provider who cares for the subject of care;
obtaining an estimate of the care provider's condition based on the provider data;
estimating factors that worsen the condition of the care provider based on the subject data and the provider data;
determining an action by which the condition improves;
Information processing method including.
the computer,
Get subject data about the subject of care,
obtaining provider data about a care provider who cares for the subject of care;
obtaining an estimated result of the care provider's condition based on the provider data;
Based on the subject data and the provider data, estimating factors that worsen the condition of the care provider,
An information processing program for functioning as a control unit that determines an operation for improving the state.