WO2022059249A1 - 情報処理装置、情報処理システム、情報出力方法、および情報出力プログラム - Google Patents

情報処理装置、情報処理システム、情報出力方法、および情報出力プログラム Download PDF

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WO2022059249A1
WO2022059249A1 PCT/JP2021/016971 JP2021016971W WO2022059249A1 WO 2022059249 A1 WO2022059249 A1 WO 2022059249A1 JP 2021016971 W JP2021016971 W JP 2021016971W WO 2022059249 A1 WO2022059249 A1 WO 2022059249A1
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information
target person
degree
care
index
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English (en)
French (fr)
Japanese (ja)
Inventor
浩 韓
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Konica Minolta Inc
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Konica Minolta Inc
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Priority to JP2022550340A priority Critical patent/JP7746996B2/ja
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G06Q50/22—Social work or social welfare, e.g. community support activities or counselling services

Definitions

  • the present invention relates to an information processing apparatus, an information processing system, an information output method, and an information output program.
  • the primary judgment, etc. in the certification for long-term care depends to some extent on the subjective judgment of the certified investigator and the temporary condition of the subject at the time of hearing, so there are cases where the certification for long-term care, etc. is not made correctly.
  • Patent Document 1 Information on the user's living function status is determined by analyzing the user's behavior based on the detection information by the detection device such as image data by the image pickup device, and the information of the attending physician's opinion is analyzed by analyzing the electronic medical record by the user's attending physician. To generate. Then, the degree of care required of the user is derived based on the information on the living function state of the user and the information of the doctor's opinion.
  • Patent Document 1 cannot calculate all the items required for general certification for long-term care, there is a problem that the reliability (credibility) and explanation of the derived degree of long-term care are low. There is.
  • the present invention has been made to solve such a problem. That is, an information processing device, an information processing system, an information output method, and an information output program that can output information such as highly reliable and explanatory indicators such as the degree of need for nursing care by estimating information that cannot be determined from the prior art.
  • the purpose is to provide.
  • a first information estimation unit that estimates the first information of the target person based on the information of the target person acquired by the information acquisition unit, and the target used for estimating the first information. It is necessary based on the second information estimation unit that estimates the second information of the target person other than the first information based on the information of the person or the first information, and the first information and the second information.
  • An information processing device having an output unit that outputs information on the degree of care or the degree of support required.
  • the output unit further has an index calculation unit for calculating an index relating to the degree of care required or the degree of support required based on the first information and the second information, and the output unit is the degree of care required or the support required.
  • the information processing apparatus which outputs the index as the information regarding the degree.
  • the second information estimation unit has a relationship between the target person's information and the second information used for estimating the first information, or a relationship between the first information and the second information.
  • the second information estimation unit has a relationship between the target person's information used for estimating the first information and the second information, or a relationship between the first information and the second information. Based on the statistical information, the information of the subject used for estimating the first information, or the second information is estimated from the first information, or is used to estimate the first information. In order to estimate the first information using a trained model trained using the combination of the target person's information and the second information or the combination of the first information and the second information as teacher data.
  • the information processing apparatus according to any one of (1) to (7) above, which estimates the second information from the information of the target person used or the first information.
  • An information processing system including the information processing apparatus according to any one of (1) to (9) above, and a display unit for displaying the information regarding the degree of care required or the degree of support required.
  • FIG. 1 is a diagram showing an index calculation system 1.
  • FIG. 2 is a block diagram showing a hardware configuration of the information processing apparatus 10.
  • FIG. 3 is a block diagram showing a hardware configuration of the detection unit 20.
  • the index calculation system constitutes an information processing system.
  • index simply means an index relating to the degree of long-term care or the degree of support (hereinafter, also referred to as "the degree of long-term care, etc.”).
  • Indicators include the certification preparation period for the degree of support required, such as the degree of long-term care, basic movement (physical function) / wake-up movement function, living function, cognitive function, social behavior (mental / behavioral disorder), and social life application.
  • the evaluation results for each evaluation item are included.
  • the evaluation results for each evaluation item such as the degree of care required, basic movement / wake-up movement function, living function, cognitive function, social behavior, and social life application are general primary judgment items for certification of need for care based on the application. include.
  • the evaluation result (judgment result) such as the degree of long-term care is included in the items of the secondary judgment by the long-term care certification examination committee such as the degree of long-term care.
  • the index calculation system 1 includes an information processing device 10 and a detection unit 20. These are connected to each other by wire or wirelessly via a network 30 such as a LAN (Local Area Network), a telephone network, or a data communication network so as to be communicable with each other.
  • a network 30 such as a LAN (Local Area Network), a telephone network, or a data communication network so as to be communicable with each other.
  • the index calculation target person 80 and the bed 90 are also shown in FIG.
  • the index calculation system 1 constitutes an information processing system.
  • the detection unit 20 includes a control unit 200, a communication unit 210, a camera 220, and a microphone 230, and these components are connected to each other by a bus.
  • the detection unit 20 may be arranged in a living room which is an observation area of the subject 80.
  • the control unit 200 is composed of a memory such as a CPU (Central Processing Unit), a RAM (Random Access Memory), and a ROM (Read Only Memory), and controls and performs arithmetic processing of each unit of the detection unit 20 according to a program.
  • a memory such as a CPU (Central Processing Unit), a RAM (Random Access Memory), and a ROM (Read Only Memory), and controls and performs arithmetic processing of each unit of the detection unit 20 according to a program.
  • the communication unit 210 is an interface for communicating with other devices including the information processing device 10 via the network 30, and may be a LAN card, for example.
  • the camera 220 is arranged, for example, on the ceiling of the living room or the upper part of the wall, captures an area including the bed 90 of the subject 80 as an observation area, and outputs a captured image (image data).
  • the photographed image taken by the camera 220 is also simply referred to as a “photographed image”. Captured images include still images and moving images.
  • the camera 220 can be, for example, a visible light camera or a near infrared camera.
  • the microphone 230 detects the voice including the voice of the target person 80 and outputs it as voice data.
  • the information processing device 10 includes a control unit 100, a storage unit 110, a communication unit 120, and an operation display unit 130.
  • the basic configuration of the control unit 100 and the communication unit 120 is the same as that of the control unit 200 and the communication unit 210, which are the corresponding components of the detection unit 20.
  • the components are connected to each other by a bus.
  • the information processing device 10 is composed of, for example, a computer having a communication function.
  • the information processing device 10 may be installed in the same building as the building in which the detection unit 20 is arranged, or may be installed in a place away from the building in which the detection unit 20 is arranged.
  • the information processing device 10 may be a PC or a cloud server virtually configured by a plurality of servers arranged on a network such as the Internet.
  • the storage unit 110 is composed of an HDD (Hard Disk Drive) and an SSD (Solid State Drive), and stores various data.
  • HDD Hard Disk Drive
  • SSD Solid State Drive
  • FIG. 4 is a functional block diagram showing the functions of the control unit 100.
  • control unit 100 functions as a first information estimation unit 101, a second information estimation unit 102, an index calculation unit 103, and an output unit 104.
  • the output unit 104 constitutes an index output unit and an information output unit.
  • the control unit 100 constitutes an information acquisition unit.
  • the first information estimation unit 101 is an index described above based on at least one of a photographed image, a voice of a subject, and a care record of the subject 80 (electronic records such as a long-term care record, a long-term care receipt, and an opinion of the attending physician). Some of the indicators are estimated as the first information.
  • the first information is an index that can be directly estimated from at least one of the captured image, the voice of the subject, and the care record, as will be described later.
  • the "index that can be directly estimated from at least one of the captured image, the subject's voice and the care record" is the captured image, the subject's voice, even if there is no information other than the captured image, the subject's voice and the care record. And an index that can be inferred from at least one of the care records.
  • the first information estimation unit 101 can estimate the evaluation results (indexes) of the evaluation items related to the basic movement (physical function), the wake-up movement function, and the living function (ADL) as the first information from the captured image.
  • Evaluation items related to basic movement / standing movement functions include, for example, paralysis, contracture, turning over, getting up, holding a sitting position, standing on both feet, walking, standing up, standing on one foot, washing, nail clippers, eyesight, etc. And hearing included.
  • Evaluation items related to living functions include, for example, transfer, movement, swallowing, food intake, urination, defecation, oral cleansing, face washing, hair shaping, putting on and taking off tops, putting on and taking off pants, and frequency of going out.
  • the first information estimation unit 101 as an evaluation result of the evaluation items related to the basic motion / wake-up motion function, for the evaluation item of "rise”, for example, “can be done without grasping", “can be done by grasping something", And one of "cannot” is estimated as the evaluation result.
  • the first information estimation unit 101 as an evaluation result of the evaluation item related to the living function, for the evaluation item of "movement”, for example, “independence (without assistance)", “watching etc.”, "partial assistance”, and Estimate one of the "total caregiving” as the evaluation result.
  • the first information estimation unit 101 can estimate the evaluation results (indexes) for the evaluation items related to the basic movement (physical function), the wake-up movement function, and the living function from the captured image by using a known method. For example, the first information estimation unit 101 estimates the evaluation results (indexes) of the evaluation items related to the basic movement (physical function), the wake-up movement function, and the living function from the captured image by using the trained model of the neural network. obtain.
  • the trained model is pre-trained using the teacher data of the combination of the input of the captured image and the correct label of the index.
  • the first information estimation unit 101 may perform statistical processing on the captured image data and estimate the index on a rule basis based on the processed data.
  • the first information estimation unit 101 first estimates the behavior information of the subject 80 (hereinafter referred to as "behavior information") from the captured image, and from the estimated behavior information, the basic movement (physical function) and the wake-up movement. Evaluation results (indexes) for evaluation items related to function and living function may be estimated. Behavioral information may include information about activities of daily living (ADL). Specifically, the behavioral information may include life patterns and movements (including watching, caregiving, use of wheelchairs, etc.). The behavior information may be data on specific behaviors of the subject 80 (for example, sleep), or may be data on joint points or silhouettes of the subject 80. Behavioral information is estimated from captured images and the like using a known method.
  • the joint point can be estimated from a captured image or the like using a trained model of a neural network.
  • the trained model is pre-learned using the teacher data of the combination of the input of the captured image and the like and the correct label of the joint point of the subject 80.
  • the joint point may be estimated on a rule basis based on the processed data by performing statistical processing on the captured image or the like.
  • the silhouette can be calculated using the background subtraction method or the time difference method.
  • the first information estimation unit 101 receives the voice data detected by the microphone 230 of the detection unit 20 from the detection unit 20 via the communication unit 120, and uses a known method to perform a basic operation (based on the voice data). It is possible to estimate the evaluation results (indexes) for the evaluation items related to physical function), wake-up movement function, and living function. For example, the first information estimation unit 101 estimates the evaluation results (indexes) of the evaluation items related to the basic movement (physical function), the wake-up movement function, and the living function from the voice data by using the trained model of the neural network. obtain.
  • the trained model is pre-trained using the teacher data of the combination of the input of voice data and the correct label of the index.
  • the first information estimation unit 101 may perform statistical processing on the voice data and estimate the index on a rule basis based on the processed data.
  • the evaluation result (index) of the evaluation item related to living function may be estimated from the care record.
  • the first information estimation unit 101 can estimate the index from the data of the care record by using the trained model of the neural network.
  • the trained model is pre-trained using the teacher data in combination with the input of the care record and the correct label of the index.
  • the first information estimation unit 101 may perform statistical processing on the data of the care record and estimate the index on a rule basis based on the processed data.
  • the first information estimation unit 101 can estimate the evaluation results (indexes) for the evaluation items related to cognitive function and social behavior (mental / behavioral disorders) as the first information from the care record.
  • Evaluation items related to cognitive function include, for example, communication of intention, understanding of daily routine, date of birth, short-term memory, saying one's name, understanding of the current season, understanding of place, constant wandering, and Includes being unable to go out and return.
  • Evaluation items related to social behavior include damaging, confabulation, emotional instability, day and night reversal, telling the same story, making a loud voice, resisting long-term care, restlessness, wanting to go out alone, collecting habits, and things. Includes breaking clothes, terrible forgetfulness, soliloquy and laughter, selfish behavior, and disorganized talk.
  • the first information estimation unit 101 may, for example, “can convey the intention to other companies” and “sometimes” about the evaluation item “communication of intention”. , One of “almost impossible” and “impossible” is estimated as an evaluation result.
  • the first information estimation unit 101 has, for example, one of “not”, “sometimes", and “yes” for the evaluation item "damaging”. Estimate one as an evaluation result.
  • the first information estimation unit 101 can estimate the evaluation result (index) for the evaluation items related to cognitive function and social behavior from the care record by using a known method. For example, the first information estimation unit 101 can estimate the evaluation results (indexes) for the evaluation items related to cognitive function and social behavior from the care record by using the trained model of the neural network.
  • the trained model is pre-trained using the teacher data in combination with the input of the care record and the correct label of the index.
  • the first information estimation unit 101 may perform statistical processing on the data of the care record and estimate the index on a rule basis based on the processed data.
  • the second information estimation unit 102 uses the index that cannot be directly estimated from at least one of the captured image, the sound, and the care record as the second information from the subject's information or the first information used for estimating the first information.
  • the first information is an index that can be directly estimated from at least one of the captured image, sound, and care record. Therefore, the second information estimation unit 102 estimates the information (index) of the target person 80 other than the first information as the second information.
  • “Cannot be estimated directly from any of the captured image, audio and care record” means that the estimation of the indicator requires information other than at least one of the captured image, audio and care record.
  • “cannot be estimated directly” includes cases where estimation is impossible and cases where the estimation accuracy is relatively low.
  • the second information estimation unit 102 estimates the second information from the target person's information or the first information used for estimating the first information.
  • the second information includes a part of the evaluation results (indexes) for the evaluation items related to social life adaptation.
  • the assessment items for social life adaptation included in the second information include, for example, taking medicines, managing money, daily decision making, inability to participate in groups, shopping, and simple cooking.
  • the second information estimation unit 102 as an evaluation result for the evaluation items related to social life adaptation, for example, for the evaluation item "simple cooking”, for example, “can (without assistance)", “watching, etc.”, “partially”. Estimate one of "caregiving” and “total caregiving” as the evaluation result.
  • the second information estimation unit 102 estimates the information of the target person used for estimating the first information or the second information having a certain relationship with the first information by using the relationship. Specifically, the second information estimation unit 102 is based on the relationship between the target person's information and the second information used for estimating the first information, or the relationship between the first information and the second information. Estimate the second information. For example, for the evaluation item "walking", the evaluation result of "can be done without grasping" is the first information, or the captured image of the subject walking without grasping is the subject used to estimate the first information. In the case of the information of, it is assumed that there is a high possibility that the evaluation item "simple cooking" will be the second information of the evaluation result "can be done (without assistance)".
  • the first information which is the evaluation result of "can be done without grasping", or the captured image of the subject walking without grasping
  • the second information which is the evaluation result of the evaluation item of "simple cooking”
  • the evaluation result of the evaluation item "simple cooking” can be estimated.
  • the second information estimation unit 102 can estimate the second information from the target person's information or the first information used for estimating the first information by using a known method. For example, the second information estimation unit 102 can estimate the second information from the target person's information or the first information used for estimating the first information by using the trained model of the neural network.
  • the trained model is pre-learned using the teacher data of the combination of the subject's information or the input of the first information used for estimating the first information and the correct label of the second information.
  • the subject information or the first information used to estimate the first information used for the teacher data is the object used to estimate the first information having a certain relationship with the second information to be estimated. Person's information or first information.
  • the second information estimation unit 102 statistically processes the target person's information or the data of the first information used for estimating the first information, and based on the processed data, the second information is rule-based. May be estimated.
  • the second information may be estimated using the information in the database (medical database, long-term care database, etc.) accumulated by the local government.
  • the index calculation unit 103 calculates an index based on the first information and the second information.
  • the index calculation unit 103 calculates, for example, from the first information and the second information using the certification preparation period such as the degree of care required and the degree of support required as an index.
  • the index calculation unit 103 can calculate (output) using the information obtained by merging the first information and the second information (all the information of the first information and the second information) as an index.
  • FIG. 5 is an explanatory diagram showing a calculation method in the case of calculating the degree of need for nursing care as an index based on the first information and the second information.
  • the categories of indicators of athletic performance assessment results may include, for example, turning over, getting up, sitting, standing on both feet, walking, standing up, standing on one foot, transferring, and moving.
  • the categories of indicators of risky behavior assessment results may include yelling, resistance to long-term care, and breaking objects and clothing.
  • the index calculation unit 103 scores the first information of the athletic ability evaluation result into any of 1 to 5 points. The worse the evaluation result, the higher the score of the athletic ability evaluation result.
  • the index calculation unit 103 scores the first information of the risky behavior evaluation result into any of 1 to 4 points.
  • the risky behavior evaluation results are scored higher as the evaluation results are worse.
  • the first information and the second information that are not included in the categories of the index of the exercise ability evaluation result and the index of the risk behavior evaluation result are also scored in the same manner.
  • the index calculation unit 103 estimates (calculates) the degree of care required as an index by adding up the scored values of the first information and the second information and comparing with a predetermined reference score.
  • the predetermined reference point can be appropriately set by an experiment from the viewpoint of the estimation accuracy of the degree of care required.
  • the output unit 104 outputs the degree of care required (index) calculated by the index calculation unit 103 in chronological order.
  • the output includes a case of transmitting as data and a case of displaying as an image on the operation display unit 130.
  • the output unit 104 can output the information obtained by merging the first information and the second information as an index by distinguishing between the first information and the second information. That is, the output unit 104 can distinguish between an index directly estimated from at least one of the captured image, audio, and care record and an index not directly estimated from at least one of the captured image, audio, and care record. Can be.
  • these indicators may be color-coded to display indicators that are directly estimated from at least one of the captured image, audio, and care record and indicators that are not directly estimated from at least one of the captured image, audio, and care record. Is displayed distinguishably.
  • the output unit 104 may output information regarding the degree of care required or the degree of support required, which is calculated by the control unit 100 based on the first information and the second information, other than the index described above.
  • FIG. 6 is a graph showing the calculated degree of need for nursing care in chronological order.
  • the degree of long-term care required is calculated monthly, and the degree of long-term care required for the past July period is shown in chronological order.
  • FIG. 7 is a diagram showing a data flow from application for certification for long-term care to certification for long-term care.
  • the index calculation system 1 can be used as a system for executing from application for certification for long-term care to certification for long-term care.
  • the control unit 100 acquires a photographed image, voice, and a care record.
  • the control unit 100 estimates the first information based on the captured image, sound, and care record.
  • the control unit 100 estimates the second information that cannot be directly estimated from the captured image, the sound, or the care record, based on the first information.
  • the evaluation results of all the evaluation items of the primary determination of the need for long-term care can be estimated as the first information and the second information.
  • the control unit 100 executes the secondary determination of the need for long-term care based on the first information and the second information, and outputs the result of the secondary determination as the result of the certification for long-term care.
  • FIG. 8 is a flowchart showing the operation of the index calculation system 1. This flowchart can be executed according to a program by the control unit 100 of the information processing apparatus 10.
  • the control unit 100 acquires a captured image by receiving it from the detection unit 20 via the communication unit 120 (S101).
  • the control unit 100 acquires voice by receiving voice from the detection unit 20 via the communication unit 120 (S102).
  • the control unit 100 acquires the care record of the subject 80 by reading from the storage unit 110 or receiving from the mobile terminal of the care staff via the communication unit 120 (S103).
  • the care record can be stored in the storage unit 110 by being input to the mobile terminal by the care staff and transmitted from each mobile terminal to the information processing device 10.
  • the control unit 100 estimates the first information based on at least one of the captured image, the sound, and the care record (S104).
  • the control unit 100 estimates the second information that cannot be directly estimated from the captured image, voice, or care record, based on the subject's information or the first information used for estimating the first information (S105).
  • the control unit 100 calculates the degree of care required as an index based on the first information and the second information (S106).
  • the control unit 100 can output the calculated degree of need for nursing care and the like in time series.
  • the embodiment has the following effects.
  • the second information is estimated based on the relationship between the target person's information and the second information used for estimating the first information, or the relationship between the first information and the second information. As a result, it is possible to more easily calculate an index such as the degree of need for nursing care, which is highly reliable and explainable.
  • the index is output in chronological order.
  • the estimated index such as the degree of need for care deteriorates, it is possible to easily grasp the necessity of reapplying for certification of need for care.
  • the estimated index such as the degree of long-term care is improved, the motivation of the work of the long-term care facility or the like can be improved.
  • the first information and the second information are output separately. This makes it easy to distinguish between an index having a relatively high reliability (credibility) and an index having a possibility of having a slightly low reliability.
  • the result of the primary judgment or the secondary judgment for the application for certification of long-term care is calculated as an index. As a result, highly explanatory, objective and accurate certification for long-term care can be achieved.
  • the acquired information of the subject is at least one of image information, audio information, and the care record of the subject.
  • an index such as the degree of need for nursing care with high reliability and explanation.
  • the second information is estimated from the first information based on the information of the subject used for estimating the first information or the statistical information of the relationship between the first information and the second information, or the first information is obtained.
  • the second information is estimated from the information or the first information.
  • the configuration of the index calculation system 1 described above is the main configuration described in explaining the features of the above-described embodiment, and is not limited to the above-mentioned configuration and may be variously modified within the scope of the claims. can. Moreover, it does not exclude the configuration provided in the general index calculation system.
  • the means and method for performing various processes in the index calculation system 1 described above can be realized by either a dedicated hardware circuit or a programmed computer.
  • the program may be provided by a computer-readable recording medium such as a USB memory or a DVD (Digital Versaille Disc) -ROM, or may be provided online via a network such as the Internet.
  • the program recorded on the computer-readable recording medium is usually transferred to and stored in a storage unit such as a hard disk.
  • the above program may be provided as a single application software, or may be incorporated into the software of the device as one function.
  • Index calculation system 10 Information processing equipment, 100 control unit, 101 First Information Estimator, 102 Second Information Estimator, 103 Index calculation unit, 104 Output section, 110 storage, 120 communication unit, 130 operation display unit, 20 detector, 200 Control unit, 210 Communication Department, 220 camera, 230 microphone.

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PCT/JP2021/016971 2020-09-16 2021-04-28 情報処理装置、情報処理システム、情報出力方法、および情報出力プログラム Ceased WO2022059249A1 (ja)

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