Information processing device, information processing system, information output method, and information output program
The information processing device enhances nursing care certification reliability and interpretability by estimating multiple information types to calculate a comprehensive index of care required, addressing subjectivity and incompleteness in existing methods.
Patent Information
- Application Number
- JP2022550340
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Priority Date
- 2020-09-16
- Filing Date
- 2021-04-28
- Publication Date
- 2025-10-01
- Estimated Expiration
- 2041-04-28
AI Technical Summary
Existing methods for nursing care certification lack reliability and interpretability in determining the level of care required, as they cannot calculate all necessary items and are subjective.
An information processing device that estimates first and second information from acquired data, including image and audio, to calculate an index of care required, using trained models and statistical processing to enhance reliability and interpretability.
Outputs highly reliable and interpretable indices of care required, enabling objective and accurate nursing care certification.
Smart Images

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Abstract
Description
[Technical Field]
[0001] The present invention relates to an information processing device, an information processing system, an information output method, and an information output program. [Background technology]
[0002] Generally, when an elderly person applies for nursing care certification, a certification investigator will conduct an investigation into the physical and mental condition of the person, and a primary assessment will be made by computer based on the results of the investigation and the doctor's opinion.Then, a secondary assessment will be made by the nursing care certification committee based on the results of the primary assessment and the doctor's opinion, and the person will be certified as needing nursing care.
[0003] The initial assessment of nursing care certification depends to some extent on the subjective judgment of the certification investigator and the temporary condition of the person at the time of the interview, so there are cases where nursing care certification is not made correctly.
[0004] The following prior art is disclosed in Patent Document 1: Information about the user's functional status is determined by analyzing the user's behavior based on information detected by a detection device, such as image data from an imaging device, and information about the attending physician's written opinion is generated by analyzing the user's electronic medical record.The level of care required for the user is then derived based on the information about the user's functional status and the information about the attending physician's written opinion. [Prior art documents] [Patent documents]
[0005] [Patent Document 1] Japanese Patent Application Publication No. 2019-204419 Summary of the Invention [Problem to be solved by the invention]
[0006] However, the prior art disclosed in Patent Document 1 cannot calculate all of the items required for general nursing care certification, and therefore has the problem of low reliability (believability) and low interpretability of the derived level of nursing care required.
[0007] The present invention has been made to solve such problems, and aims to provide an information processing device, an information processing system, an information output method, and an information output program that can output highly reliable and interpretable information such as an index of the level of care required by estimating information that cannot be determined by prior art. [Means for solving the problem]
[0008] The above-mentioned problems of the present invention are solved by the following means.
[0009] (1) An information processing device having: a first information estimation unit that estimates first information of a subject based on information about the subject acquired by an information acquisition unit; a second information estimation unit that estimates second information of the subject other than the first information based on the information about the subject used to estimate the first information or the first information; and an output unit that outputs information regarding the level of care required or the level of support required based on the first information and the second information.
[0010] (2) An information processing device as described in (1) above, further comprising an index calculation unit that calculates an index related to the level of care required or the level of support required based on the first information and the second information, and the output unit outputs the index as the information related to the level of care required or the level of support required.
[0011] (3) The information processing device described in (1) or (2) above, wherein the second information estimation unit estimates the second information based on the relationship between the information of the subject used to estimate the first information and the second information, or the relationship between the first information and the second information.
[0012] (4) The information processing device according to (2) above, further comprising an index output unit that outputs the index in time series.
[0013] (5) The information processing device according to any one of (1) to (4) above, further comprising an information output unit that outputs the first information and the second information in a distinguished manner.
[0014] (6) The information processing device according to (2) above, wherein the indicator is the result of a first or second assessment of an application for nursing care certification.
[0015] (7) The information processing device according to any one of (1) to (6) above, wherein the information on the subject is at least one of image information, audio information, and a care record of the subject.
[0016] (8) The information processing device described in any of (1) to (7) above, wherein the second information estimation unit estimates the second information from the information of the subject used to estimate the first information or the first information based on statistical information on the relationship between the information of the subject used to estimate the first information and the second information, or the relationship between the first information and the second information, or estimates the second information from the information of the subject used to estimate the first information or the first information using a trained model trained using a combination of the information of the subject used to estimate the first information and the second information, or a combination of the first information and the second information, as training data.
[0017] (9) The information processing device according to any one of (1) to (8) above, further comprising the information acquisition unit.
[0018] (10) An information processing system comprising: the information processing device according to any one of (1) to (9) above; and a display unit that displays the information relating to the level of care required or the level of support required.
[0019] (11) An information output method comprising: a step (a) of estimating first information of a subject based on information of the subject acquired by an information acquisition unit; a step (b) of estimating second information of the subject other than the first information based on the information of the subject used to estimate the first information or the first information; and a step (c) of outputting information regarding the level of care required or the level of support required based on the first information and the second information.
[0020] (12) An information output program for causing a computer to execute the steps of: (a) estimating first information about a subject based on information about the subject acquired by an information acquisition unit; (b) estimating second information about the subject other than the first information based on the information about the subject used to estimate the first information or the first information; and (c) outputting information about the level of nursing care or level of support required based on the first information and the second information. [Effects of the Invention]
[0021] It is possible to output information such as indicators of the level of care required that are highly reliable and explainable. [Brief explanation of the drawings]
[0022] [Figure 1] FIG. 1 is a diagram illustrating an index calculation system. [Figure 2] FIG. 2 is a block diagram showing a hardware configuration of the information processing device. [Figure 3] FIG. 2 is a block diagram showing a hardware configuration of a detection unit. [Figure 4] FIG. 2 is a functional block diagram showing functions of a control unit. [Figure 5] 10 is an explanatory diagram showing a calculation method when calculating the level of care required and the like as an index based on first information and second information. FIG. [Figure 6] 10 is a graph showing the calculated level of care required over time. [Figure 7] FIG. 1 is a diagram showing the data flow from application for nursing care certification to nursing care certification. [Figure 8]10 is a flowchart showing the operation of the index calculation system. DETAILED DESCRIPTION OF THE INVENTION
[0023] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. In the drawings, the same elements are denoted by the same reference numerals, and duplicate explanations will be omitted. Furthermore, the dimensional proportions in the drawings are exaggerated for the sake of explanation, and may differ from the actual proportions.
[0024] Fig. 1 is a diagram showing an index calculation system 1. Fig. 2 is a block diagram showing the hardware configuration of an information processing device 10. Fig. 3 is a block diagram showing the hardware configuration of a detection unit 20. The index calculation system constitutes an information processing system.
[0025] In this specification, when simply referred to as "indicators," it means indicators related to the level of care required or the level of support required (hereinafter also referred to as "level of care required, etc."). Indicators include the evaluation results for each evaluation item, such as level of care required, preparation period for certification of level of support required, basic actions (physical functions), daily living functions, cognitive functions, social behavior (mental and behavioral disorders), and social life application. The evaluation results for each evaluation item, such as level of care required, basic actions, daily living functions, cognitive functions, social behavior, and social life application, are included in the general primary assessment items for certification of care required based on an application. The evaluation results (assessment results) of level of care required, etc. are included in the secondary assessment items for level of care required, etc. by the nursing care certification review board.
[0026] As shown in Fig. 1, the index calculation system 1 includes an information processing device 10 and a detection unit 20. These are connected to each other so that they can communicate with each other via a network 30, such as a LAN (Local Area Network), a telephone network, or a data communication network, by wire or wirelessly. In Fig. 1, in addition to the index calculation system 1, a subject 80 for index calculation and a bed 90 are also shown. The index calculation system 1 constitutes an information processing system.
[0027] (Detection unit 20) 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 via a bus. The detection unit 20 can be placed in a room that is an observation area for the subject 80.
[0028] The control unit 200 is configured with a CPU (Central Processing Unit) and memories such as RAM (Random Access Memory) and ROM (Read Only Memory), and controls each part of the detection unit 20 and performs arithmetic processing according to a program.
[0029] 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, for example, a LAN card.
[0030] The camera 220 is placed, for example, on the ceiling or upper part of a wall of a room, captures an area including the bed 90 of the subject 80 as an observation area, and outputs a captured image (image data). Hereinafter, the captured image captured by the camera 220 will also be simply referred to as a "captured image." The captured image includes still images and videos. The camera 220 may be, for example, a visible light camera or a near-infrared camera.
[0031] The microphone 230 detects sounds including the voice of the target person 80 and outputs them as audio data.
[0032] (Information processing device 10) 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 configurations of the control unit 100 and the communication unit 120 are similar to those 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 via a bus.
[0033] The information processing device 10 is configured, for example, by a computer having a communication function. The information processing device 10 may be installed in the same building as the detection unit 20, or may be installed in a location away from the building where the detection unit 20 is installed. The information processing device 10 may be a PC, or may be a cloud server virtually configured by multiple servers installed on a network such as the Internet.
[0034] The storage unit 110 is configured by a hard disk drive (HDD) or a solid state drive (SSD), and stores various types of data.
[0035] FIG. 4 is a functional block diagram showing the functions of the control unit 100.
[0036] 4, the 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.
[0037] The first information estimation unit 101 estimates some of the above-mentioned indices as first information based on at least one of the photographed image, the subject's voice, and the subject's care records (electronic records such as nursing care records, nursing care receipts, and the attending physician's opinion). As will be described later, the first information is an index that can be directly estimated from at least one of the photographed image, the subject's voice, and the care records. "An index that can be directly estimated from at least one of the photographed image, the subject's voice, and the care records" means an index that can be estimated from at least one of the photographed image, the subject's voice, and the care records, even without information other than the photographed image, the subject's voice, and the care records.
[0038] The first information estimation unit 101 can estimate, from the captured image, evaluation results (indices) for evaluation items related to basic movements (physical functions), daily living functions, and daily living functions (ADLs) as first information. Evaluation items related to basic movements and daily living functions include, for example, paralysis, contracture, rolling over, getting up, maintaining a sitting position, standing on both feet, walking, standing up, standing on one foot, washing oneself, nail clipping, eyesight, and hearing. Evaluation items related to daily living functions include, for example, transferring, moving, swallowing, eating, urination, defecation, oral hygiene, face washing, hair styling, putting on and taking off tops, putting on and taking off pants, and frequency of going out.
[0039] As an evaluation result for an evaluation item related to basic movement / daily living function, the first information estimation unit 101 estimates, for example, one of "can do without holding on," "can do if holding on to something," and "cannot do" for the evaluation item "standing up." As an evaluation result for an evaluation item related to daily living function, the first information estimation unit 101 estimates, for example, one of "independent (no assistance)," "supervision, etc.", "partial assistance," and "full assistance" for the evaluation item "mobility."
[0040] The first information estimation unit 101 may estimate, from the captured image, evaluation results (indicators) for evaluation items related to basic movements (physical functions), daily living functions, and daily living functions using a known method. For example, the first information estimation unit 101 may estimate, from the captured image, evaluation results (indicators) for evaluation items related to basic movements (physical functions), daily living functions, and daily living functions using a trained model of a neural network. The trained model is trained in advance using training data that combines input of the captured image and correct labels of the indices. The first information estimation unit 101 may perform statistical processing on the data of the captured image and rule-based estimation of the indices based on the processed data.
[0041] The first information estimation unit 101 may first estimate information about the behavior of the subject 80 from the captured image (hereinafter referred to as "behavioral information"), and then, from the estimated behavioral information, estimate evaluation results (indicators) for evaluation items related to basic movements (physical functions), daily living functions, and daily living functions. The behavioral information may include information about daily living functions (ADLs). Specifically, the behavioral information may include lifestyle patterns and movements (including whether or not the subject is supervised, assisted, or using a wheelchair). The behavioral information may be data on the subject 80's specific behavior (e.g., sleeping), or data on the subject's joint points or silhouette. The behavioral information is estimated from the captured image, etc., using a known method. For example, the joint points may be estimated from the captured image, etc., using a trained model of a neural network. The trained model is trained in advance using training data that combines inputs such as the captured image, etc., with correct labels of the subject's joint points. The joint points may be estimated rule-based based on the processed data after statistical processing of the captured image, etc. The silhouette can be calculated using background subtraction or time subtraction.
[0042] The first information estimation unit 101 receives voice data detected by the microphone 230 of the detection unit 20 from the detection unit 20 via the communication unit 120, and may estimate evaluation results (indicators) for evaluation items related to basic movements (physical functions), daily living functions, and daily living functions based on the voice data using a known method. For example, the first information estimation unit 101 may estimate evaluation results (indicators) for evaluation items related to basic movements (physical functions), daily living functions, and daily living functions from the voice data using a trained model of a neural network. The trained model is trained in advance using training data that combines input voice data and correct labels of indicators. The first information estimation unit 101 may perform statistical processing on the voice data and rule-based estimate the indicators based on the processed data.
[0043] The evaluation results (indices) of the evaluation items related to daily living functions may be estimated from the care records. In this case, the first information estimation unit 101 may estimate the indices from the care record data using a trained model of a neural network. The trained model is trained in advance using training data that is a combination of the care record input and the correct labels of the indices. The first information estimation unit 101 may perform statistical processing on the care record data and estimate the indices rule-based based on the processed data.
[0044] The first information estimation unit 101 may estimate, from the care records, evaluation results (indicators) for evaluation items related to cognitive function and social behavior (mental and behavioral disorders) as first information. Evaluation items related to cognitive function include, for example, communication, understanding daily routines, saying date of birth, short-term memory, saying one's own name, understanding the current season, understanding one's location, constant wandering, and being unable to return after going out. Evaluation items related to social behavior include victimization, confabulation, emotional instability, day-night reversal, repeating the same story, shouting, resistance to caregiving, restlessness, wanting to go out alone, collecting habits, damaging objects or clothing, severe forgetfulness, talking or laughing to oneself, acting selfishly, and incoherence in conversation.
[0045] As an evaluation result for the evaluation item related to cognitive function, the first information estimation unit 101 estimates, for example, for the evaluation item "communication of intentions," one of "the survey subject can communicate their intentions to others," "can sometimes communicate," "can hardly communicate," and "cannot communicate." As an evaluation result for the evaluation item related to social behavior, the first information estimation unit 101 estimates, for example, for the evaluation item "victimization," one of "not," "sometimes," and "yes."
[0046] The first information estimation unit 101 may estimate, from the care records, evaluation results (indices) for evaluation items related to cognitive function and social behavior using a known method. For example, the first information estimation unit 101 may estimate, from the care records, evaluation results (indices) for evaluation items related to cognitive function and social behavior using a trained model of a neural network. The trained model is trained in advance using training data that combines inputs of the care records and correct labels of the indices. The first information estimation unit 101 may perform statistical processing on the data of the care records and rule-based estimate the indices based on the processed data.
[0047] The second information estimation unit 102 estimates, as second information, an index that cannot be directly estimated from at least one of the captured image, audio, and care record from the information of the subject used to estimate the first information or the first information. The first information is an index that can be directly estimated from at least one of the captured image, audio, and care record. Therefore, the second information estimation unit 102 estimates information (index) of the subject 80 other than the first information as second information. "Cannot be directly estimated from any of the captured image, audio, and care record" means that information other than at least one of the captured image, audio, and care record is required to estimate the index. Furthermore, "cannot be directly estimated" includes cases where estimation is impossible as well as cases where estimation accuracy is relatively low.
[0048] The second information estimation unit 102 estimates the second information from the information of the subject used to estimate the first information or from the first information. The second information includes some of the evaluation results (indices) for evaluation items related to social life adaptation. The evaluation items related to social life adaptation included in the second information include, for example, taking medication, managing money, daily decision-making, inability to participate in groups, shopping, and simple cooking.
[0049] As an evaluation result for an evaluation item related to adaptation to social life, for example, for the evaluation item "simple cooking", the second information estimation unit 102 estimates one of the following as the evaluation result: "Can do (no assistance)", "Supervision, etc.", "Partial assistance", and "Full assistance".
[0050] The second information estimation unit 102 estimates the information of the subject used to estimate the first information or the second information having a certain relationship with the first information, using the relationship. Specifically, the second information estimation unit 102 estimates the second information based on the relationship between the information of the subject used to estimate the first information and the second information, or the relationship between the first information and the second information. For example, if the first information is an evaluation result of "Can do it without holding on" for the evaluation item "walking" or a captured image of the subject walking without holding on, there is a high possibility that the second information is an evaluation result of "Can do it (without assistance)" for the evaluation item "easy cooking." In other words, there is considered to be a certain relationship between the first information, which is an evaluation result of "Can do it without holding on" or the captured image of the subject walking without holding on, and the second information, which is an evaluation result for the evaluation item "easy cooking." The evaluation result of the evaluation item "easy cooking" can be estimated by utilizing information that there is a certain correlation between "easy cooking" and "can be done without holding on" or captured images of a subject walking without holding on.
[0051] The second information estimation unit 102 may estimate the second information from the subject information or the first information used to estimate the first information using a known method. For example, the second information estimation unit 102 may estimate the second information from the subject information or the first information used to estimate the first information using a trained model of a neural network. The trained model is trained in advance using training data that combines the subject information or the first information used to estimate the first information with the correct label of the second information. The subject information or the first information used to estimate the first information used in the training data is the subject information or the first information used to estimate the first information that has a certain relationship with the second information to be estimated. The second information estimation unit 102 may perform statistical processing on the subject information or the first information data used to estimate the first information and rule-based estimate the second information based on the processed data. Alternatively, the second information may be estimated using information from databases (such as medical databases or nursing care databases) accumulated by local governments.
[0052] The index calculation unit 103 calculates an index based on the first information and the second information. For example, the index calculation unit 103 calculates the certification preparation period for the level of care required, etc. and the level of support required, etc. from the first information and the second information. The index calculation unit 103 can calculate (output) information obtained by merging the first information and the second information (all of the first information and the second information) as an index.
[0053] FIG. 5 is an explanatory diagram showing a calculation method when the level of care required and the like are calculated as an index based on the first information and the second information.
[0054] In the example of FIG. 5, categories of indices of motor ability evaluation results and indices of risky behavior evaluation results are shown as examples of indices included in the first information. The categories of indices of motor ability evaluation results may include, for example, rolling over, sitting up, maintaining a sitting position, standing on both feet, walking, standing up, standing on one foot, transferring, and moving. The categories of indices of risky behavior evaluation results may include shouting, resisting care, and destroying objects or clothing. The index calculation unit 103 scores the first information of the motor ability evaluation results as one of 1 to 5 points. The worse the motor ability evaluation results, the higher the score assigned. The index calculation unit 103 scores the first information of the risky behavior evaluation results as one of 1 to 4 points. The worse the evaluation results, the higher the score assigned. The first information and second information not included in the categories of indices of motor ability evaluation results and indices of risky behavior evaluation results are also scored in the same manner.
[0055] The index calculation unit 103 adds up the scored values of the first information and the second information and compares the sum with a predetermined reference score to estimate (calculate) the level of care required, etc., as an index. The predetermined reference score can be appropriately set through experiments from the viewpoint of the accuracy of estimating the level of care required.
[0056] The output unit 104 outputs the level of care required and the like (index) calculated by the index calculation unit 103 in chronological order. The output includes a case where the index is transmitted as data and a case where the index is displayed on the operation display unit 130 as an image.
[0057] The output unit 104 may output information obtained by merging the first information and the second information as an index, distinguishing between the first information and the second information. That is, the output unit 104 may output an index directly estimated from at least one of the captured image, the audio, and the care record in a manner that distinguishes between an index that is not directly estimated from at least one of the captured image, the audio, and the care record. For example, the index directly estimated from at least one of the captured image, the audio, and the care record and an index that is not directly estimated from at least one of the captured image, the audio, and the care record are displayed in different colors, thereby allowing these indices to be displayed in a distinguishable manner.
[0058] The output unit 104 may output information on the level of care required or the level of support required, other than the above-mentioned indexes, calculated by the control unit 100 based on the first information and the second information.
[0059] FIG. 6 is a graph showing the calculated level of care required over time.
[0060] In the example of FIG. 6, the level of care required is calculated for each month, and the level of care required for the past seven months is shown in chronological order.
[0061] FIG. 7 is a diagram showing the flow of data from application for nursing care certification to the nursing care certification.
[0062] As shown in FIG. 7, the index calculation system 1 can be used as a system for carrying out processes from application for nursing care certification to nursing care certification.
[0063] When an application for nursing care certification is received by the communication unit 120, the control unit 100 acquires captured images, audio, and care records. The control unit 100 estimates first information based on the captured images, audio, and care records. The control unit 100 estimates second information that cannot be directly estimated from the captured images, audio, or care records, based on the first information. As a result, the evaluation results of all evaluation items in the primary assessment of nursing care certification can be estimated as the first information and the second information. The control unit 100 performs a secondary assessment of nursing care certification based on the first information and the second information, and outputs the result of the secondary assessment as the result of nursing care certification.
[0064] 8 is a flowchart showing the operation of the index calculation system 1. This flowchart can be executed by the control unit 100 of the information processing device 10 in accordance with a program.
[0065] The control unit 100 acquires a captured image by receiving it from the detection unit 20 via the communication unit 120 (S101).
[0066] The control unit 100 acquires the sound by receiving it from the detection unit 20 via the communication unit 120 (S102).
[0067] The control unit 100 acquires the care record of the subject 80 by reading it from the storage unit 110 or by receiving it from the mobile terminal of the care staff via the communication unit 120 (S103). The care record is input into each mobile terminal by the care staff, and is transmitted from each mobile terminal to the information processing device 10, whereby it can be stored in the storage unit 110.
[0068] The control unit 100 estimates the first information based on at least one of the captured image, the sound, and the care record (S104).
[0069] The control unit 100 estimates the second information that cannot be directly estimated from the captured image, the voice, or the care record based on the first information or the information of the subject used to estimate the first information (S105).
[0070] The control unit 100 calculates the level of care required and the like as an index based on the first information and the second information (S106). The control unit 100 can output the calculated level of care required and the like in chronological order.
[0071] The embodiment has the following advantages.
[0072] By estimating information that cannot be obtained directly from a detection device, etc., based on information detected by the detection device, etc., it is possible to output information such as an index of the level of care required, etc., that is highly reliable and explainable.
[0073] Furthermore, the second information is estimated based on the relationship between the information on the subject used to estimate the first information and the second information, or the relationship between the first information and the second information, thereby making it possible to more easily calculate an index of the level of care required, etc., that is highly reliable and interpretable.
[0074] Furthermore, the indicators are output in chronological order. This makes it easy to understand the need to reapply for nursing care certification if the estimated level of care required or other indicators worsen. Also, if the estimated level of care required or other indicators improve, it can increase the motivation of nursing care facilities and other facilities working.
[0075] Furthermore, the first information and the second information are output separately, which makes it easy to distinguish between indicators with relatively high reliability (credibility) and indicators that may be slightly less reliable.
[0076] Furthermore, the results of the primary or secondary assessment for an application for nursing care certification are used as indicators for calculation, allowing for highly interpretable, objective, and accurate nursing care certification.
[0077] Furthermore, the information on the subject to be acquired is at least one of image information, audio information, and the subject's care record, which allows for more flexible calculation of indicators such as the level of care required, which are more reliable and more interpretable.
[0078] Furthermore, the second information is estimated from the first information based on the information of the subject used to estimate the first information or statistical information on the relationship between the first information and the second information, or the second information is estimated from the information of the subject used to estimate the first information or the first information using a trained model trained using the information of the subject used to estimate the first information or a combination of the first information and the second information as training data. This makes it possible to more easily calculate an index such as the level of care required that is highly reliable and interpretable.
[0079] Furthermore, an information acquisition unit for acquiring information about the subject is provided, which makes it possible to calculate indices such as the level of care required with greater reliability and interpretability.
[0080] The configuration of the index calculation system 1 described above is a main configuration for explaining the features of the above embodiment, but is not limited to the above configuration and can be modified in various ways within the scope of the claims. Furthermore, configurations that are included in general index calculation systems are not excluded.
[0081] The means and methods for performing the 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 Versatile Disc)-ROM, or may be provided online via a network such as the Internet. In this case, the program recorded on the computer-readable recording medium is typically transferred to and stored in a storage unit such as a hard disk. The program may also be provided as standalone application software, or may be incorporated into the software of the device as a function.
[0082] This application is based on a Japanese patent application (Patent Application No. 2020-155459) filed on September 16, 2020, the disclosure of which is incorporated herein by reference in its entirety. [Explanation of symbols]
[0083] 1. Index calculation system, 10 Information processing device, 100 control section, 101 1st Information Estimation Department, 102 2nd Information Estimation Department, 103 Indicator calculation section, 104 output section, 110 storage section, 120 Communications Department, 130 Operation display section, 20 detection unit, 200 control section, 210 Communications Department, 220 cameras, 230 Mike.
Claims
1. a first information estimation unit that estimates first information of the subject based on the information of the subject acquired by the information acquisition unit; a second information estimation unit that estimates second information of the subject other than the first information based on the information of the subject used to estimate the first information or the first information; an output unit that outputs information regarding a level of care need or a level of support need based on the first information and the second information, The second information estimation unit estimates the second information based on a relationship between the information of the subject used to estimate the first information and the second information, or a relationship between the first information and the second information.
2. further comprising an index calculation unit that calculates an index related to a level of care need or a level of support need based on the first information and the second information; The information processing device according to claim 1 , wherein the output unit outputs the index as the information relating to the level of care required or the level of support required.
3. The information processing device according to claim 2 , further comprising an index output unit that outputs the index in time series.
4. 4. The information processing device according to claim 1, further comprising an information output unit that outputs the first information and the second information in a distinguished manner.
5. The information processing device according to claim 2 , wherein the indicator is a result of a primary or secondary assessment of an application for nursing care certification.
6. 6. The information processing device according to claim 1, wherein the information about the subject is at least one of image information, audio information, and care records.
7. The information processing device according to any one of claims 1 to 6, wherein the second information estimation unit estimates the second information from the information of the subject used to estimate the first information or the first information based on statistical information on the relationship between the information of the subject used to estimate the first information and the second information, or the relationship between the first information and the second information, or estimates the second information from the information of the subject used to estimate the first information or the first information using a trained model trained using a combination of the information of the subject used to estimate the first information and the second information, or a combination of the first information and the second information, as training data.
8. The information processing device according to claim 1 , further comprising the information acquisition unit.
9. An information processing device according to any one of claims 1 to 8; a display unit that displays the information related to the level of care need or the level of support need; An information processing system having the above.
10. A method executed by an information processing device, comprising: A step (a) of estimating, by the information processing device, first information of the subject based on information of the subject acquired by an information acquisition unit; (b) estimating, by the information processing device, second information of the subject other than the first information based on the information of the subject used to estimate the first information or the first information; and (c) outputting, by the information processing device, information regarding the level of care required or the level of support required based on the first information and the second information; In step (b), the second information is estimated based on the relationship between the information of the subject used to estimate the first information and the second information, or the relationship between the first information and the second information.
11. a step (a) of estimating first information of the subject based on information of the subject acquired by an information acquisition unit; (b) a step of estimating second information of the subject other than the first information based on information of the subject used to estimate the first information or the first information; and (c) a step of outputting information relating to a level of care need or a level of support need based on the first information and the second information, In step (b), an information output program is provided for causing a computer to execute a process of estimating the second information based on the relationship between the information of the subject used to estimate the first information and the second information, or the relationship between the first information and the second information.
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