JP2021162929A - Nursing support system, nursing support method, medical support system, medical support method, and program - Google Patents

Abstract

To reduce the burden associated with communication with care recipients on care workers compared with cases where the technique disclosed herein is not employed.SOLUTION: A nursing support system provided herein comprises: dialogue means for exchanging dialogue with care recipients via a dialogue device; analysis means configured to analyze content of dialogue with care recipients by the dialogue means; and output means configured to output information regarding dialogue to caregivers in charge of care recipients in accordance with analysis results of the analysis means.SELECTED DRAWING: Figure 4

Description

The present invention relates to a long-term care support system, a long-term care support method, a medical care support system, a medical care support method, and a program.

In Patent Document 1, when the movement of the subject is detected by the sensor, the call sound is reproduced, the movement of the target person is analyzed in consideration of the response to the call voice, and the medical worker rushes to the target person. By analyzing whether or not it is necessary, behavioral restraint such as encouraging the subject who is prohibited from walking to not walk is performed as a general report, and if necessary, a medical worker is sent to the subject. By making an emergency call to urge the medical staff to rush, it is possible to determine whether or not the medical staff should rush and minimize the treatment of the medical staff while suppressing the subject from performing prohibited actions. There is.

Japanese Unexamined Patent Publication No. 2016-32,500

In recent years, while the number of care recipients has increased significantly, the number of caregivers who provide long-term care cannot be expected to increase rapidly. Furthermore, caregivers are increasing the amount of work due to the diversifying number of caregivers for caregivers and the increase in frequent communication with caregivers, and there is a strong desire to reduce the burden on caregivers. It is rare.

Here, for example, in the communication between the care recipient at home and the caregiver using a telephone, a smartphone, or the like, a one-to-one dialogue occurs, and the caregiver has a fixed time for the care recipient. For example, if one caregiver is in charge of 26 care recipients, the caregiver will be overwhelmed by the response to the care recipient, and it will be difficult to efficiently perform general care work. Become.

In addition, as communication between the care recipient at home and the caregiver, there is also a question for grasping the care status of the caregiver who cares for the care recipient and / or the care facility. If the caregiver does this directly to the care recipient, the caregiver will be overwhelmed by the response to the care recipient, and it will be difficult to efficiently perform general care work.

In addition, similar issues exist not only in the field of long-term care but also in the field of medical care.

An object of the present invention is to reduce the burden on the caregiver or the caregiver required for communication with the care recipient or the care recipient as compared with the case where the present technology is not adopted.

For this purpose, the present invention presents a dialogue means for interacting with the care recipient via a dialogue device, an analysis means for analyzing the content of the dialogue with the care recipient by the dialogue means, and an analysis result by the analysis means. A care support system provided with an output means for outputting information on dialogue to the caregiver in charge of the care recipient is provided according to the above.

The dialogue means may be one that speaks to the care recipient via the dialogue device and conducts a dialogue based on the utterance in a predetermined situation. In that case, the predetermined situation may be a situation requested by the caregiver or a situation requested by the care recipient.

The output means may be one that adds the result of analysis by the analysis means and outputs information on the dialogue to the caregiver.

The output means may be one that outputs information about the dialogue to the caregiver when a report is required by the analysis by the analysis means.

The present invention has a storage means for storing a question for grasping the care status of a caregiver and / or a care facility that cares for the care recipient, and a dialogue with the care recipient via a dialogue device, and during the dialogue. Based on the dialogue means for dialogue including the voice information of the question read from the storage means, the answer output means for outputting the information about the answer from the care recipient to the voice information of the question, and the information about the output answer. We also provide a long-term care support system equipped with an evaluation information output means for outputting evaluation information of the long-term care situation.

The dialogue means may be one in which the dialogue includes the voice information of the question read from the storage means in the dialogue at the timing according to the condition of the care recipient.

Further, the present invention is in charge of the care recipient according to the step of having a dialogue with the care recipient by the dialogue device, the step of analyzing the content of the dialogue with the care recipient, and the result of analyzing the content of the dialogue. It also provides care support methods, including steps to output information about dialogue to the caregiver.

Further, the present invention uses a dialogue device to have a dialogue with the care recipient, and in the dialogue, voice information of a question for grasping the care status of the caregiver who cares for the care recipient and / or the care facility is provided. Nursing care support including a step of dialogue including, a step of outputting information on the answer from the care recipient to the voice information of the question, and a step of outputting evaluation information of the long-term care situation based on the information on the output answer. It also provides a method.

Further, the present invention has a function of performing a dialogue with the care recipient via a dialogue device on a computer, a function of analyzing the content of the dialogue with the care recipient, and a function of analyzing the content of the dialogue. It also provides a program to realize a function to output information about dialogue to the caregiver in charge of the caregiver.

Further, the present invention presents a question for conducting a dialogue with a care recipient via a dialogue device on a computer and grasping the care status of the caregiver and / or the care facility that cares for the care recipient during the dialogue. A function to interact with the voice information of the caregiver, a function to output information about the answer from the care recipient to the voice information of the question, and a function to output evaluation information of the care status based on the information about the output answer. We also provide a program to realize.

Alternatively, the present invention depends on the dialogue means for interacting with the patient through the dialogue device, the analysis means for analyzing the content of the dialogue with the patient by the dialogue means, and the result of the analysis by the analysis means. Provided is a medical care support system provided with an output means for outputting information on dialogue to a medical doctor in charge of a medical patient.

The present invention has a memory means for storing a question for grasping the medical condition of a medical person who cares for a medical person and / or a medical facility, and has a dialogue with the medical person via a dialogue device, and is in the dialogue. Based on the dialogue means for dialogue including the voice information of the question read from the storage means, the answer output means for outputting the information about the answer from the patient to the voice information of the question, and the information about the output answer. We also provide a medical care support system equipped with an evaluation information output means for outputting evaluation information of medical care status.

Further, in the present invention, the patient is subjected to a step of conducting a dialogue with the patient through the dialogue device, a step of analyzing the content of the dialogue with the patient, and a result of analyzing the content of the dialogue. It also provides medical care support methods, including steps to output information about dialogue to the caregiver in charge.

In addition, the present invention has a dialogue with a patient through a dialogue device, and during the dialogue, voice information of a question for grasping the medical condition of the clinician who cares for the patient and / or the medical facility. Medical treatment including a step of dialogue including It also provides support methods.

Further, the present invention has a function of performing a dialogue with a patient through a dialogue device on a computer, a function of analyzing the content of the dialogue with the patient, and a function of analyzing the content of the dialogue. We also provide a program to realize a function to output information about dialogue to the doctor in charge of the doctor.

Further, the present invention presents a question for conducting a dialogue with a patient through a dialogue device on a computer and grasping the medical condition of a doctor who cares for the patient and / or a medical facility during the dialogue. A function to interact with the voice information of the question, a function to output information about the answer from the patient to the voice information of the question, and a function to output evaluation information of the medical treatment situation based on the information about the output answer. We also provide a program to realize.

According to the present invention, the burden on the caregiver or the caregiver required for communication with the care recipient or the care recipient can be further reduced as compared with the case where the present technology is not adopted.

It is a figure which showed the whole structure example of the care support system in embodiment of this invention. It is a figure which showed the hardware configuration example of the robot in embodiment of this invention. It is a figure which showed the hardware configuration example of the care support server in embodiment of this invention. It is a block diagram which showed the functional structure example of the care support server in 1st Embodiment of this invention. It is a figure which showed an example of the generation rule stored in the generation rule storage part of the care support server in 1st Embodiment of this invention. It is a flowchart which showed the operation example of the state information generation part of the care support server in 1st Embodiment of this invention. It is a block diagram which showed the functional structure example of the care support server in the 2nd Embodiment of this invention. It is a figure which showed an example of the acquisition rule stored in the acquisition rule storage part of the care support server in the 2nd Embodiment of this invention. It is a flowchart which showed the operation example of the question acquisition part of the care support server in the 2nd Embodiment of this invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

[Overall configuration of long-term care support system]
FIG. 1 is a diagram showing an overall configuration example of the long-term care support system 1 according to the present embodiment. As shown in the figure, the nursing care support system 1 is configured by connecting sensors 10a, 10b, 10c, a robot 20, a terminal device 30, and a nursing care support server 40 to a communication line 80. Although the sensors 10a, 10b, and 10c are shown in the figure, they may be referred to as the sensor 10 when they are not distinguished. Although three sensors 10 are shown, there may be four or more sensors, even if there are only two or less. Although only one robot 20 and one terminal device 30 are shown, a plurality of robots 20 and a terminal device 30 may exist. Further, the communication line 80 may be, for example, the Internet.

The sensor 10 is installed in a facility such as a welfare facility for the elderly or a hospital where the care recipient is admitted, or at a home where the care recipient is receiving home-visit care, and senses the behavior or state of the care recipient. For example, a microphone sensor, a camera sensor, a bed sensor, a door sensor, a motion sensor, and the like fall under this category. Further, the sensor 10 may be one that senses the surrounding state of the care recipient. For example, a temperature sensor, a humidity sensor, and the like fall under this category. The sensor 10 may be installed at a plurality of places in the facility or at home. Further, among the sensors 10, a microphone sensor, a camera sensor, a temperature sensor, and the like may be installed inside the robot 20, but in the following, whether the sensor 10 is installed inside the robot 20 or outside the robot 20. Explain without limitation whether it is installed in. The sensor 10 transmits information indicating the result of sensing the behavior or state of the care recipient and the surrounding state of the care recipient (hereinafter referred to as “sensing information”) to the care support server 40 via the communication line 80. .. In the following, the case where the care support server 40 processes the sensing information by doing so will be described as an example, but the edge processing for processing the sensing information may be performed in the sensor 10.

The robot 20 has a dialogue with the care recipient at a facility such as a welfare facility for the elderly or a hospital where the care recipient is admitted, or at a home where the care recipient is receiving home-visit care. Specifically, the robot 20 speaks according to an instruction from the care recipient or the care support server 40, or autonomously speaks according to the surrounding situation, and based on this utterance, the robot 20 and the care recipient Have a dialogue. In this sense, the robot 20 is an example of a dialogue device that interacts with the care recipient. Further, the robot 20 may perform an operation of supporting the care of the care recipient according to an instruction from the care support server 40 or according to the surrounding situation. It is preferable that the robot 20 has an appearance like a stuffed animal, for example, from the viewpoint of being familiar to the care recipient.

The terminal device 30 is used by a care worker. Specifically, the terminal device 30 displays the information received from the long-term care support server 40 to the long-term care worker, and transmits the information input by the long-term care worker to the long-term care support server 40. Here, the care worker is a care manager who creates a care plan according to the situation of the care recipient, and a care worker who actually contacts the care recipient and provides a care service according to the care plan. Nursing staff are welfare facility caregivers who provide nursing care services at facilities such as welfare facilities for the elderly, and home-visit caregivers who visit the homes of care recipients and provide nursing care services. In addition, the care worker may include a family member who is engaged in the care of the care recipient. In this specification, a care worker may be referred to as a caregiver. The terminal device 30 may be, for example, a PC (Personal Computer).

The long-term care support server 40 provides various support when the long-term care worker provides a long-term care service to the long-term care person based on the sensing information received from the sensor 10. Details of the functions and operations of the long-term care support server 40 will be described later.

[Robot hardware configuration]
FIG. 2 is a diagram showing a hardware configuration example of the robot 20. As shown in the figure, the robot 20 inputs sound from a control unit 21 that controls the operation of the entire device, an external storage medium device 22 that stores data and the like, various communication interfaces 23 that conform to wireless communication standards, and sound. A sound input device 24 to be output and a sound output device 25 to output sound are provided.

The control unit 21 includes a CPU (Central Processing Unit) 211, a ROM (Read Only Memory) 212 in which firmware, a BIOS (Basic Input Output System), etc. are stored, and a RAM (Random Access Memory) 213 used as a work area. have. The CPU 211 may be multi-core. Further, the ROM 212 may be a rewritable non-volatile semiconductor memory.

The external storage medium device 22 is a device that reads and writes data to and from a non-volatile storage medium in which a magnetic material is coated on the surface of a disk-shaped substrate. The non-volatile storage medium may be a semiconductor memory or the like. The communication interface 23 is an interface used for connecting to, for example, the long-term care support server 40. The sound input device 24 is, for example, a microphone, and the sound output device 25 is, for example, a speaker.

The control unit 21, the external storage medium device 22, the communication interface 23, the sound input device 24, and the sound output device 25 are connected to each other through a bus 29 or a signal line (not shown).

[Hardware configuration of long-term care support server and terminal device]
FIG. 3 is a diagram showing a hardware configuration example of the long-term care support server 40. As shown in the figure, the care support server 40 realizes communication via a control unit 41 that controls the operation of the entire device, an external storage medium device 42 that stores data and the like, and a LAN (Local Area Network) cable and the like. It includes a communication interface 43, an input device 44 for inputting information, and a display device 45 for displaying information.

The control unit 41 has a CPU 411, a ROM 412 in which basic software, a BIOS, and the like are stored, and a RAM 413 used as a work area. The CPU 411 may be multi-core. Further, the ROM 412 may be a rewritable non-volatile semiconductor memory. The control unit 41 is a so-called computer.

The external storage medium device 42 is a device that reads and writes data to and from a non-volatile storage medium in which a magnetic material is coated on the surface of a disk-shaped substrate. The non-volatile storage medium may be a semiconductor memory or the like. The communication interface 43 is an interface used for connecting to another device. The input device 44 is, for example, a keyboard, a mouse, and a touch panel, and the display device 45 is, for example, a liquid crystal display or an organic EL (Electro Luminescence) display.

The control unit 41, the external storage medium device 42, the communication interface 43, the input device 44, and the display device 45 are connected to each other through a bus 49 or a signal line (not shown).

Further, the hardware configuration example shown in FIG. 3 can be regarded as a hardware configuration example of the terminal device 30. However, when the terminal device 30 is described, the control unit 41, the CPU 411, the ROM 412, the ROM 413, the external storage medium device 42, the communication interface 43, the input device 44, and the display device 45 are referred to as the control unit 31, the CPU 311 and the ROM 312, respectively. , ROM 313, external storage medium device 32, communication interface 33, input device 34, and display device 35.

[First Embodiment]
(Functional configuration of long-term care support server)
FIG. 4 is a block diagram showing a functional configuration example of the long-term care support server 40 as an example of the long-term care support system according to the first embodiment. As shown in the figure, the care support server 40 according to the first embodiment includes a sensing information acquisition unit 51, a sensing information storage unit 52, a generation rule storage unit 53, a state information generation unit 54, and a reception unit 55. , The transmission unit 56 is provided.

The sensing information acquisition unit 51 acquires the sensing information and the time when the sensing information is acquired from each sensor 10. In particular, when the robot 20 makes an utterance to the care recipient to confirm the physical condition and the care recipient responds to this, the microphone sensor, which is one of the sensors 10, detects the voice of this response, so that the sensing information is acquired. The unit 51 acquires the voice and the time from the microphone sensor. In the present embodiment, the sensing information acquisition unit 51 is provided as an example of the function of receiving the response of the dialogue means for interacting with the care recipient via the dialogue device.

The sensing information storage unit 52 stores the sensing information and the time acquired by the sensing information acquisition unit 51. This sensing information includes the voice acquired by the sensing information acquisition unit 51 from the microphone sensor.

The generation rule storage unit 53 stores a generation rule for generating information indicating the physical condition of the care recipient (hereinafter, referred to as “state information”) using the voice stored in the sensing information storage unit 52.

The state information generation unit 54 generates a state text, which is a text indicating the physical condition of the care recipient, by recognizing the voice stored in the sensing information storage unit 52. Further, the sound stored in the sensing information storage unit 52 is converted into an abnormal level indicating the abnormal level of the physical condition of the care recipient based on the generation rule stored in the generation rule storage unit 53. Then, the state information is generated by associating the state text with the abnormality level. In the present embodiment, the state information generation unit 54 is provided as an example of the analysis means for analyzing the content of the dialogue with the care recipient. Moreover, the abnormality level is used as an example of the analysis result by the analysis means.

The receiving unit 55 receives the state information transmission request from the care manager terminal device 30. Here, the state information transmission request may be data that the robot 20 can understand that the care manager is requesting the transmission of the state information, or the care manager is requesting the transmission of the state information. This may be data such as a human-readable email. The receiving unit 55 may receive the state information transmission request from the terminal device 30 used by the care staff other than the care manager, but in the following, it is assumed that the request is received from the terminal device 30 used by the care manager. explain.

When the receiving unit 55 receives the state information transmission request, the transmitting unit 56 transmits the state confirmation request to the robot 20. Here, if the state information transmission request is the former data, the transmission unit 56 may transmit this data to the robot 20 as it is, and if the state information transmission request is the latter data, the transmission unit 56 may transmit this data as it is. The data may be converted into the former data and transmitted to the robot 20. Then, the robot 20 that has received this status confirmation request utters, for example, "How are you feeling?" In the present embodiment, the transmission unit 56 is provided as an example of the function of outputting the utterance content of the dialogue means for interacting with the care recipient via the dialogue device.

Further, when the transmission unit 56 generates state information for the care recipient having the state information generation unit 54, the transmission unit 56 transmits the state information to the terminal device 30 used by the care manager in charge of the care recipient. The transmission unit 56 may transmit the state information to the terminal device 30 used by the care worker who actually cares for the care recipient, but in the following, the state information is transmitted to the terminal device 30 used by the care manager. Described as being transmitted. Further, the transmission unit 56 may transmit any information obtained from the voice stored in the sensing information storage unit 52 to the terminal device 30, but will be described below assuming that the state information is transmitted to the terminal device 30. do. In the present embodiment, state information is used as an example of information related to dialogue, and a transmission unit 56 is provided as an example of output means for outputting information related to dialogue to the caregiver in charge of the care recipient. ..

FIG. 5 is a diagram showing an example of a generation rule stored in the generation rule storage unit 53. As shown in the figure, the generation rule associates the generation rule ID, the voice feature information, and the abnormality level.

The production rule ID is information that uniquely identifies the production rule. In the figure, the generation rule ID is a number, but characters such as an alphabet may be included.

The voice feature information is feature information related to voice obtained from a microphone sensor which is one of the sensors 10. Then, whether or not the voice satisfies the voice feature information is determined by whether or not the voice is similar to the voice feature information.

The abnormality level indicates the level of abnormality in the physical condition of the care recipient to be notified to the care manager when the voice obtained from the microphone sensor, which is one of the sensors 10, satisfies the corresponding voice feature information.

Here, the meaning of the individual production rules shown in FIG. 5 will be described.

The generation rule of the generation rule ID "1" indicates that the abnormality level should be L1 when the voice obtained from the microphone sensor is similar to the voice feature information A1.

The generation rule of the generation rule ID "2" indicates that the abnormality level should be L2 when the voice obtained from the microphone sensor is similar to the voice feature information A2.

(Operation of long-term care support server)
In the nursing care support server 40 according to the first embodiment, first, the receiving unit 55 receives a status information transmission request from the terminal device 30 used by the care manager. Here, the care manager who uses the terminal device 30 may be identified by, for example, a login ID to the terminal device 30 or the like.

Then, the transmission unit 56 transmits a status confirmation request to the robot 20 that has a dialogue with the care recipient in charge of the care manager. Here, as the destination robot 20, for example, all the robots 20 registered to have a dialogue with the care recipient associated with the care manager in advance may be selected.

As a result, the robot 20 interacts with the care recipient. Specifically, when the robot 20 speaks in response to the state confirmation request and the care recipient responds to the robot 20 by voice, the microphone sensor senses the voice. Then, the sensing information acquisition unit 51 acquires the voice from the microphone sensor, and stores the voice and the time when the voice is acquired in the sensing information storage unit 52.

Next, the state information generation unit 54 generates state information using the voice stored in the sensing information storage unit 52.

FIG. 6 is a flowchart showing an operation example of the state information generation unit 54 at this time.

As shown in the figure, the state information generation unit 54 first reads the voice from the sensing information storage unit 52 (step 501). For example, the state information generation unit 54 may read out the voice acquired within a certain period of time after the transmission unit 56 transmits the state confirmation request to the robot 20 based on the time associated with the voice.

Next, the state information generation unit 54 generates a state text by recognizing the voice read in step 501 (step 502).

Next, the state information generation unit 54 determines whether or not the voice feature information in the generation rule stored in the generation rule storage unit 53 includes the voice feature information that the voice read in step 501 is satisfied (step 503). ).

If it is determined in step 503 that there is voice feature information that the voice is satisfied with, the state information generation unit 54 acquires the abnormality level set for the voice feature information (step 504). Then, the state text generated in step 502 is associated with this abnormality level to obtain state information (step 505), and the process proceeds to step 507.

On the other hand, if it is not determined in step 503 that there is voice feature information that the voice is satisfied with, the state information generation unit 54 uses the state text generated in step 502 as the state information without acquiring the abnormality level (step 506). ), The process proceeds to step 507.

As a result, the state information generation unit 54 outputs the state information generated in step 505 or step 506 to the transmission unit 56 (step 507).

After that, the state information generation unit 54 determines whether or not the condition for ending the process is satisfied (step 508). Here, as a condition for ending the process, for example, there is a condition that voice is received as sensing information from the robots 20 of all the care recipients. As a result, if it is not determined that the condition for ending the process is satisfied, the state information generation unit 54 returns the process to step 501. On the other hand, if it is determined that the condition for ending the process is satisfied, the state information generation unit 54 ends the process.

Next, the transmission unit 56 transmits the state information output by the operation example shown in the flowchart of FIG. 6 to the terminal device 30 used by the care manager.

(Modification example)
In the above, when the caregiver transmits the state information transmission request from the terminal device 30, the state confirmation request is transmitted to the robot 20, and the robot 20 starts a dialogue with the care recipient, but the present invention is not limited to this. .. When the care recipient talks to the robot 20, the robot 20 may start a dialogue with the care recipient. Alternatively, the robot 20 may start a dialogue when some predetermined situation is reached, including when requested by the caregiver and when requested by the care recipient.

Further, in the above, the care support server 40 is premised on transmitting the state information of all the care recipients to the terminal device 30 of the caregiver, and associates the abnormal level with the state information that requires special attention. However, it is not limited to this. Only the state information for which the report to the caregiver is required may be transmitted to the caregiver's terminal device 30.

Further, in the above, the care support server 40 generates the state information using only the voice of the care recipient input from the microphone sensor, but the present invention is not limited to this. The state information may be generated by further using the sensing information input from the other sensor 10.

(Effect of the first embodiment)
As described above, in the first embodiment, the state information of the care recipient is generated from the content of communication with the care recipient through the robot and output to the caregiver. As a result, when the care recipient cannot use a smartphone or the like, the care recipient's house can be grasped without visiting the care recipient's house, and the burden on the caregiver can be reduced.

Further, in the first embodiment, by communicating with the care recipient through the robot, it is possible to hear from the care recipient the content and the true intention that are difficult to talk to the family.

[Second Embodiment]
(Functional configuration of long-term care support server)
FIG. 7 is a block diagram showing a functional configuration example of the long-term care support server 40 as an example of the long-term care support system according to the second embodiment. As shown in the figure, the long-term care support server 40 according to the second embodiment includes a sensing information acquisition unit 61, a sensing information storage unit 62, an acquisition rule storage unit 63, a daily conversation question storage unit 64, and a question acquisition. A unit 65, a response extraction unit 66, an evaluation information generation unit 67, and a transmission unit 68 are provided.

The sensing information acquisition unit 61 acquires the sensing information and the time when the sensing information is acquired from each sensor 10. In particular, when the robot 20 makes a voice to ask the care recipient a question for a questionnaire (hereinafter referred to as "questionnaire question") and the care recipient responds to the question, the microphone sensor, which is one of the sensors 10, is used. Since the response voice is detected, the sensing information acquisition unit 61 acquires the voice and the time from the microphone sensor. Here, as the question for the questionnaire, a question for grasping the care status of the care staff and the care facility who care for the care recipient is exemplified. In this embodiment, a questionnaire question is used as an example of a question for grasping the care status of the caregiver who cares for the care recipient and / or the care facility.

The sensing information storage unit 62 stores the sensing information and the time acquired by the sensing information acquisition unit 61. This sensing information includes the voice acquired by the sensing information acquisition unit 61 from the microphone sensor.

The acquisition rule storage unit 63 stores the acquisition rules for acquiring the questionnaire question using the voice stored in the sensing information storage unit 62. In the present embodiment, the acquisition rule storage unit 63 is provided as an example of the storage means for storing the question for grasping the care status.

The daily conversation question storage unit 64 stores questions (hereinafter referred to as "daily conversation questions") that are asked in daily conversation.

The question acquisition unit 65 acquires the questionnaire question when the questionnaire question is determined from the voice stored in the sensing information storage unit 62 based on the acquisition rule stored in the acquisition rule storage unit 63. Further, when the questionnaire question is not determined based on the acquisition rule stored in the acquisition rule storage unit 63 from the voice stored in the sensing information storage unit 62, the question storage unit 64 for daily conversation is used for daily conversation. Get the question. Then, the acquired daily conversation question or questionnaire question is output to the transmission unit 68. As a result, the robot 20 will have a dialogue including a questionnaire question in the daily conversation. In the present embodiment, a question acquisition unit 65 is provided as an example of a dialogue means in which a dialogue is performed with a care recipient via a dialogue device and the dialogue includes voice information of a question read from a storage means in the dialogue. ing. Alternatively, when the question acquisition unit 65 determines the questionnaire question in advance from the voice stored in the sensing information storage unit 62 based on the acquisition rule stored in the acquisition rule storage unit 63, the state of the care recipient is determined in advance. If it is in the specified state, the questionnaire question may be obtained. Here, as a predetermined condition, for example, a condition that the care recipient has a comfortable facial expression can be considered. This is because the questionnaire is not urgent and should be conducted when the care recipient can afford it. In the following, whether or not the care recipient's state is in a predetermined state is determined by whether or not the sensing information other than the voice stored in the sensing information storage unit 62 satisfies the predetermined condition. And. In this case, the question acquisition unit 65 is an example of the dialogue means for dialogue including the voice information of the question read from the storage means in the dialogue at the timing according to the state of the care recipient.

The answer extraction unit 66 extracts the answer to the questionnaire question from the voice stored in the sensing information storage unit 62. For example, it is preferable that the transmission unit 68 extracts the answer by reading out the sensed voice within a certain period of time after transmitting the questionnaire question to the robot 20 and recognizing the voice. Then, the answer extraction unit 66 outputs the information of the care staff and the care facility that is the target of the questionnaire question and the answer to the questionnaire question to the evaluation information generation unit 67. In the present embodiment, the answer extraction unit 66 is provided as an example of the answer output means for outputting the information regarding the answer from the care recipient to the voice information of the question.

The evaluation information generation unit 67 generates evaluation information regarding the care status of the long-term care staff and the long-term care facility based on the information of the long-term care staff and the long-term care facility output by the answer extraction unit 66 and the answers to the questions for the questionnaire. For example, a predetermined keyword indicating good or bad correspondence is extracted from the answer, and a plus point is given to the keyword indicating good correspondence and a minus point is given to the keyword indicating bad correspondence. It is advisable to generate evaluation information by adding up. Then, the evaluation information generation unit 67 outputs the generated evaluation information to the transmission unit 68. In the present embodiment, the evaluation information generation unit 67 is provided as an example of the evaluation information output means for outputting the evaluation information of the nursing care situation.

The transmission unit 68 transmits the daily conversation question or the questionnaire question output by the question acquisition unit 65 to the robot 20. Further, the evaluation information output by the evaluation information generation unit 67 is transmitted to the terminal device 30.

FIG. 8 is a diagram showing an example of acquisition rules stored in the acquisition rule storage unit 63. As shown in the figure, the acquisition rule is associated with the acquisition rule ID, the trigger keyword, and the questionnaire question.

The acquisition rule ID is information that uniquely identifies the acquisition rule. In the figure, the acquisition rule ID is a number, but characters such as alphabets may be included.

The trigger keyword is a keyword that triggers a question for a questionnaire among the keywords obtained by voice recognition of the voice obtained from the microphone sensor, which is one of the sensors 10.

The questionnaire question is a questionnaire question to be asked next when the result of voice recognition of the voice obtained from the microphone sensor, which is one of the sensors 10, includes the corresponding trigger keyword.

Here, the meaning of the acquisition rule shown in FIG. 8 will be described.

Acquisition rule The acquisition rule for ID "1" asks a questionnaire question "How was X's response?" When the result of voice recognition of the voice obtained from the microphone sensor includes "yesterday" as a trigger keyword. It shows what to do. This is based on the assumption that when the care worker who cared for the target care recipient yesterday is Mr. X, the care recipient is asked how Mr. X's response was. In this example, the caregiver who cared for the target caregiver yesterday differs depending on the day when the system operates. Therefore, when the care support server 40 starts up, the caregiver refers to the latest schedule information of the caregiver and the target caregiver. It will be necessary to renew the caregivers who took care of yesterday.

Here, the keyword related to the day "yesterday" is illustrated as a trigger keyword, but the present invention is not limited to this. For example, a keyword related to the care content may be used as a trigger keyword.

(Operation of long-term care support server)
In the long-term care support server 40 according to the second embodiment, first, the question acquisition unit 65 acquires the daily conversation question from the daily conversation question storage unit 64.

Then, the transmission unit 68 transmits this daily conversation question to the robot 20 that has a dialogue with the care recipient.

As a result, when the robot 20 utters the question for daily conversation to the care recipient and the care recipient answers the robot 20 by voice, the microphone sensor senses the voice. Then, the sensing information acquisition unit 61 acquires the voice from the microphone sensor, and stores the voice and the time when the voice is acquired in the sensing information storage unit 62.

Next, the question acquisition unit 65 acquires a question to be asked next via the robot 20 using the voice stored in the sensing information storage unit 62.

FIG. 9 is a flowchart showing an operation example of the question acquisition unit 65 at this time.

As shown in the figure, the question acquisition unit 65 first reads the voice from the sensing information storage unit 62 (step 601). For example, the question acquisition unit 65 may read out the voice acquired within a certain period of time after the transmission unit 68 transmits the daily conversation question based on the time associated with the voice.

Next, the question acquisition unit 65 recognizes the voice read in step 601 (step 602).

Next, the question acquisition unit 65 determines whether or not the trigger keyword in the acquisition rule stored in the acquisition rule storage unit 63 includes the trigger keyword included in the result of the voice recognition in step 602 (step 603).

If it is determined in step 603 that there is a trigger keyword included in the voice recognition result, the question acquisition unit 65 determines whether or not the sensing information other than the voice stored in the sensing information storage unit 62 satisfies a predetermined condition. Determine (step 604).

If it is determined in step 604 that the sensing information other than the voice satisfies the predetermined condition, the question acquisition unit 65 asks the questionnaire question set from the acquisition rule storage unit 63 for the trigger keyword specified in step 603. (Step 605).

On the other hand, if it is not determined in step 603 that there is a trigger keyword included in the voice recognition result, or if it is not determined in step 604 that the sensing information other than the voice satisfies a predetermined condition, a question is acquired. The unit 65 acquires a question for daily conversation from the question storage unit 64 for daily conversation (step 606).

Then, the question acquisition unit 65 outputs the questionnaire question acquired in step 605 or the daily conversation question acquired in step 606 to the transmission unit 68 (step 607).

Then, the transmission unit 68 transmits the questionnaire question or the daily conversation question output in step 607 to the robot 20 that has a dialogue with the care recipient.

As a result, when the robot 20 utters a questionnaire question or a daily conversation question to the care recipient and the care recipient answers the robot 20 by voice, the microphone sensor senses the voice. Then, the sensing information acquisition unit 61 acquires the voice from the microphone sensor, and stores the voice and the time when the voice is acquired in the sensing information storage unit 62.

Therefore, the question acquisition unit 65 determines whether or not the condition for ending the process is satisfied (step 608). Here, as a condition for ending the process, for example, there is a condition that the voice stored in the sensing information storage unit 62 is the voice input in response to the questionnaire question. As a result, if it is not determined that the condition for ending the process is satisfied, the question acquisition unit 65 returns the process to step 601. On the other hand, if it is determined that the condition for ending the process is satisfied, the question acquisition unit 65 ends the process.

Next, the answer extraction unit 66 extracts the answer to the questionnaire question from the voice stored in the sensing information storage unit 62 according to the operation example shown in the flowchart of FIG.

As a result, the evaluation information generation unit 67 generates evaluation information regarding the care status of the care staff and the care facility based on the answers to the questionnaire questions extracted by the answer extraction unit 66.

After that, the transmission unit 68 transmits the evaluation information generated by the evaluation information generation unit 67 to the terminal device 30.

(Modification example)
In the above, the question acquisition unit 65 acquires the questionnaire question when the voice stored in the sensing information storage unit 62 includes the trigger keyword, but the question is not limited to this. Even when the voice stored in the sensing information storage unit 62 does not include the trigger keyword, the questionnaire question may be randomly acquired.

In the above, the care support server 40 has decided to transmit the evaluation information regarding the care status of the care staff to the terminal device 30, but the present invention is not limited to this. For example, evaluation information regarding the care status of the care staff may be written in a shared area that can be shared among the care staff. Specifically, when the evaluation information regarding the care status of a certain care worker exceeds a certain standard, it is preferable to automatically write the care content that is considered to be good in the evaluation information in the shared area. By performing such processing, the quality of the entire long-term care facility can be improved.

Further, in the above, the process for generating the evaluation information about the long-term care facility was not described in detail, but when generating the evaluation information about the long-term care facility, for example, the evaluation index for generating the evaluation information is standardized. , It would be good to be able to compare evaluation information between nursing care facilities.

(Effect of the second embodiment)
As described above, in the second embodiment, a mechanism for taking a questionnaire from the robot to the care recipient is constructed, and the results are used to evaluate the care staff and the care facility. As a result, it became possible to grasp the live voice of the long-term care recipient and to collect the complaints of the long-term care recipient, which led to the improvement of the long-term care staff and the long-term care facility.

[Third Embodiment]
In the third embodiment, when a foreign care worker speaks to the robot 20 in a foreign language, the robot 20 translates the foreign language into Japanese and conveys it to the care recipient. For that purpose, for example, the robot 20 may have a dictionary of terms related to long-term care, and the robot 20 may refer to this dictionary for translation.

[Other application examples]
The present invention is also applicable to the medical field. In this case, in the above embodiment, the caregiver is a medical caregiver (doctor, etc.), the care recipient is a medical care recipient (patient, etc.), the long-term care record is a medical care record, and the long-term care support is medical care support. You can read it as it is.

1 ... Nursing support system, 10 ... Sensor, 20 ... Robot, 30 ... Terminal device, 40 ... Nursing support server, 51, 61 ... Sensing information acquisition unit, 52, 62 ... Sensing information storage unit, 53 ... Generation rule storage unit, 54 ... state information generation unit, 55 ... reception unit, 56, 68 ... transmission unit, 63 ... acquisition rule storage unit, 64 ... daily conversation question storage unit, 65 ... question acquisition unit, 66 ... answer extraction unit, 67 ... evaluation Information generator

Claims (17)

Dialogue means for dialogue with the care recipient via the dialogue device,
An analysis means for analyzing the content of the dialogue with the care recipient by the dialogue means, and
A care support system including an output means for outputting information on the dialogue to a caregiver in charge of the care recipient according to the result of analysis by the analysis means. The care support system according to claim 1, wherein the dialogue means speaks to the care recipient via the dialogue device in a predetermined situation, and performs a dialogue based on the utterance. The care support system according to claim 2, wherein the predetermined situation is a situation in which the caregiver has requested or a situation in which the care recipient has requested. The care support system according to claim 1, wherein the output means adds the result of analysis by the analysis means and outputs information on the dialogue to the caregiver. The care support system according to claim 1, wherein the output means outputs information regarding the dialogue to the caregiver when a report is required by analysis by the analysis means. A memory means for memorizing questions for grasping the care status of the caregiver and / or the care facility that cares for the care recipient, and
A dialogue means for interacting with the care recipient through the dialogue device and including the voice information of the question read from the storage means in the dialogue, and a dialogue means for the dialogue.
An answer output means for outputting information regarding an answer from the care recipient to the voice information of the question, and an answer output means.
A nursing care support system including an evaluation information output means for outputting evaluation information of the nursing care situation based on the output information regarding the answer. The care according to claim 6, wherein the dialogue means includes the voice information of the question read from the storage means in the dialogue at a timing according to the state of the care recipient. Support system. Steps to interact with the care recipient using the dialogue device,
Steps to analyze the content of the dialogue with the care recipient and
A care support method comprising a step of outputting information about the dialogue to a caregiver in charge of the care recipient according to the result of analysis of the contents of the dialogue. A dialogue device is used to have a dialogue with the care recipient, and the dialogue includes voice information of a question for grasping the care status of the caregiver and / or the care facility that cares for the care recipient. Steps and
A step of outputting information regarding an answer from the care recipient to the voice information of the question, and
A nursing care support method comprising a step of outputting evaluation information of the nursing care situation based on the output information regarding the answer. On the computer
The function to interact with the care recipient via the dialogue device,
The function to analyze the contents of the dialogue with the care recipient and
A program for realizing a function of outputting information on the dialogue to the caregiver in charge of the care recipient according to the result of analysis of the contents of the dialogue. On the computer
A dialogue is conducted with the care recipient via the dialogue device, and the dialogue includes voice information of a question for grasping the care status of the caregiver and / or the care facility that cares for the care recipient. Function to do and
A function to output information regarding an answer from the care recipient to the voice information of the question, and
A program for realizing a function of outputting evaluation information of the nursing care situation based on the output information regarding the answer. Dialogue means for dialogue with the patient via the dialogue device,
An analysis means for analyzing the content of the dialogue with the patient by the dialogue means, and
A medical care support system including an output means for outputting information on the dialogue to a medical doctor in charge of the patient in charge according to the result of analysis by the analysis means. A memory means for storing questions for grasping the medical condition of a medical person who cares for a patient and / or a medical facility, and
A dialogue means for interacting with the patient through the dialogue device and including the voice information of the question read from the storage means in the dialogue, and a dialogue means for the dialogue.
An answer output means for outputting information regarding an answer from the patient to the voice information of the question, and an answer output means.
A medical care support system including an evaluation information output means for outputting evaluation information of the medical care situation based on the output information regarding the answer. Steps to interact with the patient via the dialogue device,
Steps to analyze the content of the dialogue with the patient and
A medical treatment support method comprising a step of outputting information on the dialogue to a medical doctor in charge of the medical patient according to the result of analysis of the contents of the dialogue. A dialogue is conducted with the patient through the dialogue device, and the dialogue includes voice information of a question for grasping the medical condition of the medical doctor who cares for the patient and / or the medical facility. Steps to do and
A step of outputting information regarding an answer from the patient to the voice information of the question, and
A medical treatment support method including a step of outputting evaluation information of the medical treatment situation based on the output information regarding the answer. On the computer
The function to interact with the patient via the dialogue device,
The function to analyze the contents of the dialogue with the patient and
A program for realizing a function of outputting information on the dialogue to the medical doctor in charge of the patient according to the result of analysis of the contents of the dialogue. On the computer
A dialogue is conducted with the patient through the dialogue device, and the dialogue includes voice information of a question for grasping the medical condition of the medical doctor who cares for the patient and / or the medical facility. Function to do and
A function of outputting information regarding an answer from the patient to the voice information of the question, and
A program for realizing a function of outputting evaluation information of the medical treatment situation based on the output information regarding the answer.

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