JP7377910B2 - Information processing system, information processing device, information processing method and program - Google Patents

Description

Article 30, Paragraph 2 of the Patent Act applies ▲1▼Publication date: January 31, 2022Publication location: Nippon Care Supply Co., Ltd. (9th floor, Shiba NBF Tower, 1-1-30 Shiba Daimon, Minato-ku, Tokyo) ▲2▼ Publication date: March 4, 2022 Publication location: Sogo Security Security Co., Ltd. (1-6-6 Motoakasaka, Minato-ku, Tokyo) ▲3▼Publication date: March 31, 2022 Publication location: N.D. Software Co., Ltd. (3369 Wada, Nanyo City, Yamagata Prefecture) ▲4▼Publication date: April 15, 2022 Publication location: Sogo Security Security Co., Ltd. (1-6-6 Motoakasaka, Minato-ku, Tokyo)

The present invention relates to an information processing system, an information processing device, an information processing method, and a program related to nursing care.

As the aging of society progresses, it has become desirable to efficiently manage information on care recipients. Recently, LIFE, a scientific nursing care information system, has been introduced, and the digitization of information on care recipients is increasingly progressing.

From the perspective of automatically evaluating information related to care for a care recipient, for example, Patent Document 1 proposes a care support device specialized for excretion, which uses the detected value of a first sensor to evaluate the care recipient's excretion. a detection process that detects the cared person's sleep state using the detection value of the second sensor; and a identification process that uses the detected value of the second sensor to identify the cared person's sleeping state; It has been proposed to perform an output process of outputting output information indicating that excretion has occurred.

JP2021-124961A

With the introduction of LIFE, a scientific care information system, and with the increase in opportunities to evaluate information regarding the care status of care recipients, the present invention aims to evaluate the need for care or the mental and physical condition of care recipients. Provides automatic information processing systems, information processing devices, information processing methods, and programs.

[Concept 1]
The information processing system according to the present invention includes:
an acquisition unit that acquires information about the target person;
an evaluation unit that evaluates the need for nursing care or the mental and physical condition of the target person by applying the information regarding the target person acquired by the acquisition unit to the evaluation model;
an output unit that outputs the evaluation results from the evaluation unit;
may be provided.

[Concept 2]
In the information processing system described in concept 1,
The acquisition unit has a terminal that can identify the target person by input,
The evaluation unit evaluates the need for nursing care or the mental and physical condition of the subject by applying a video or still image captured by the terminal to an evaluation model,
A storage unit may be provided that stores the evaluation result by the evaluation unit and the target person specified by the terminal in association with each other.

[Concept 3]
In the information processing system according to concept 1 or 2,
The acquisition unit includes an imaging unit that acquires a moving image of the subject's movements,
The evaluation unit may perform an evaluation regarding the need for nursing care or the mental and physical condition of the target person by applying information regarding the target person's movements to the evaluation model.

[Concept 4]
In the information processing system according to any one of Concepts 1 to 3,
The acquisition unit has a measuring unit that acquires the amount of food eaten by the subject based on weight, or an imaging unit that acquires the amount of food eaten by the subject in a still image or video,
The evaluation unit may evaluate the need for nursing care or the mental and physical condition of the subject by applying information regarding the meals eaten by the subject to the evaluation model.

[Concept 5]
In the information processing system according to any one of Concepts 1 to 4,
comprising an identifying unit that identifies the target person of the information acquired by the acquisition unit by identifying the target person's location information from a position specifying member owned by the target person or attached to the target person,
The evaluation unit may evaluate the need for nursing care or the physical and mental state of the subject identified by the identification unit by applying the information acquired by the acquisition unit regarding the subject to the evaluation model.

[Concept 6]
In the information processing system described in Concept 5,
The target person may be formally identified by the person in charge approving the identification result by the identifying section.

[Concept 7]
In the information processing system according to any one of Concepts 1 to 6,
comprising an identifying unit that identifies the target person of the information acquired by the acquisition unit by identifying the target person's location information from a position specifying member owned by the target person or attached to the target person,
The evaluation unit may evaluate the need for nursing care or the mental and physical condition of the subject by applying the position information, travel distance, or walking speed of the subject obtained by the identification unit to the evaluation model.

[Concept 8]
In the information processing system according to any one of Concepts 1 to 7,
The acquisition unit has a scale for measuring the weight of the subject or a height scale for measuring the height of the subject,
The evaluation unit may evaluate the need for nursing care or the mental and physical condition of the subject by applying information regarding the weight or height of the subject to the evaluation model.

[Concept 9]
In the information processing system according to any one of Concepts 1 to 8,
By applying numerical information obtained from a sensor or manually inputted information to an evaluation model, an evaluation regarding the need for nursing care or the mental and physical condition of the subject may be performed.

[Concept 10]
In the information processing system according to any one of Concepts 1 to 9,
The output unit may automatically register the results of the evaluation by the evaluation unit in the LIFE database.

[Concept 11]
The information processing method according to the present invention includes:
a step of acquiring information about the target person by the acquisition unit;
a step in which the evaluation unit applies the information regarding the target person acquired by the acquisition unit to an evaluation model to evaluate the need for nursing care or the mental and physical condition of the target person;
a step in which the output unit outputs the evaluation result by the evaluation unit;
may be provided.

[Concept 12]
The program according to the present invention is
A program installed on an information processing device,
The information processing device in which the program is installed,
an evaluation function that performs an evaluation regarding the need for nursing care or the mental and physical condition of the target person by applying the information regarding the target person acquired by the acquisition unit to an evaluation model;
an output function that outputs the evaluation results by the evaluation function;
may be realized.

According to the present invention, it is possible to provide an information processing device and the like that automatically evaluates the need for care or the mental and physical condition of a care recipient.

1 is a schematic block diagram of an information processing device according to an embodiment of the present invention. FIG. 3 is a diagram illustrating a mode in which a terminal such as a smartphone, which is an example of an imaging unit, acquires the degree of decrease in the amount of food consumed by a person to be cared for. FIG. 3 is a diagram illustrating a mode in which the weight of a pre-meal meal and the weight of a post-meal meal placed on a tray are measured by a measuring unit that constitutes an acquisition unit. FIG. 2 is a diagram illustrating a mode in which the weight of a person to be cared for is acquired by a scale built into a bed mat. FIG. 3 is a diagram illustrating a mode in which an imaging unit acquires measurement results by a height meter using still images and videos. The figure explaining the aspect which automatically registers the evaluation result in an evaluation part in the database of LIFE using nursing care software.

Embodiment Each of the information processing system and information processing device of this embodiment may be composed of one device or a plurality of devices. This embodiment also provides an information processing method using the information processing device of this embodiment, a program installed to generate the information processing device, and a storage medium such as a USB or DVD that stores the program. be done. Further, in the present application, "or" is a concept that includes "and," and the term "A or B" is a concept that includes both "A,""B," and "A and B." The information processing device is typically a server, and may be placed in a cloud environment. The information processing equipment is managed by each business operator, and when the business operator logs in using identification information and password, etc., information related to the event person linked to the event person identification information is read out. It may also be possible to check the information on the terminal 200.

As shown in FIG. 1, the information processing device includes one or more acquisition units 300 that acquire information on a plurality of subjects, and by applying information about the subjects acquired by the acquisition unit 300 to an evaluation model. It has an evaluation section 10 that performs evaluation on predetermined items related to nursing care of a subject, and an output section 70 that outputs the evaluation results of the evaluation section 10. As described later, the information regarding the subject includes the subject's movement status, the subject's height/weight, the subject's vital information, the subject's dietary intake, and the like. The evaluation unit 10 evaluates predetermined items related to nursing care and/or predetermined items related to the mental and physical condition of the target person, thereby making it possible to evaluate the need for nursing care and/or the mental and physical condition of each target person. Become.

The evaluation unit 10 has an artificial intelligence function and may generate an evaluation model. As an example of the artificial intelligence function, a classifier using a machine learning method may be used. The classifier may determine adopted variables (elements) to be used and their coefficients (weights) by, for example, machine learning technology. The artificial intelligence function may perform regression analysis, decision tree analysis, etc. Regarding machine learning techniques, various models can be employed, such as a logistics regression model, a random forest model, a tree model, etc.

The evaluation unit 10 acquires information about the situation of the care recipient from the acquisition unit 300, and performs machine learning using actual evaluation results of the nursing staff, care staff, rehabilitation specialist staff, etc. for the care recipient as learning data. You can do it like this. Machine learning may be performed by dividing the information about the situation of the care recipient acquired from the acquisition unit 300 and the actual evaluation results of the care recipient by the person in charge into learning data and test data. As an example, the information acquired by the acquisition unit 300 regarding a plurality of care recipients, and items related to the care provided by persons in charge such as nursing staff, care staff, rehabilitation specialist staff, etc., or items regarding mental and physical conditions for the plurality of care recipients are included. The evaluation unit 10 may perform machine learning using the evaluation results as learning data. Then, for the evaluation model generated by the machine learning, information acquired by the acquisition unit 300 regarding another plurality of care recipients, nursing staff, care staff, rehabilitation specialist staff, etc. for the plurality of care recipients, etc. Evaluation results of items related to nursing care or items related to mental and physical condition by the person in charge may be used as test data for verification. Then, a model with a certain degree of certainty may be used as an evaluation model, and thereafter, the evaluation model may be updated at an appropriate timing, such as once every month or every three months.

The evaluation model does not need to be generated by the evaluation unit 10, and may be prepared in advance and stored in the storage unit 60, or a model updated at an appropriate timing such as once a week, every month, or every three months. may be stored as an evaluation model in the storage unit 60.

According to the present embodiment, the evaluation unit 10 makes an objective judgment and uses information that is more reliable than the current subjective judgment to determine whether the evaluation unit is completely independent, partially independent, mostly assisted, or completely independent. It becomes possible to evaluate the need for nursing care such as assistance (see FIG. 6) for the person receiving care, and the mental and physical condition such as the state of cognitive function.

The evaluation results from the evaluation section 10 may be output from the output section 70 and displayed on the display section 210 such as the display screen of the terminal 200. Then, the evaluation result by the evaluation section 10 may be stored in the storage section 60 upon approval by the person in charge. By adopting such an aspect, the accuracy of the information can be improved because the information is recorded after being confirmed by the person in charge. The terminal 200 may include a smartphone, a tablet, a personal computer, etc., and may include a display section 210 and an input section 220. Smartphones and tablets have touch panels, and the touch panels perform the functions of the display section 210 and the input section 220.

For example, the Barthel index may be used for the evaluation by the evaluation unit 10. In this case, for example, 10 items related to nursing care include eating, transfers, grooming, toileting, bathing, walking (moving), climbing stairs, changing clothes, defecating, and urinating, and the evaluation unit 10 evaluates these items. will be done automatically. In this case, each item is evaluated with 15 points, 10 points, 5 points, and 0 points depending on the degree of independence, with 100 points being full independence, less than 100 points being 60 points or more being partially independent, and less than 60 points being 40 points. The evaluation unit 10 may evaluate the above as mostly assisting, and 0 points as all assisting. The items related to nursing care are not limited to the above ten items, and the item contents may be set or changed as appropriate. Further, the above ten items may be large items, and each item may have medium items and/or small items.

Information on the care recipient may be input via a terminal 200 such as a smartphone, tablet, or personal computer owned by a person in charge such as a care worker, rehabilitation worker, doctor, dentist, or dental hygienist. The terminal 200 may become a part of the acquisition unit 300. At that time, a meal intake chart, vital check chart, excretion check chart, nutrition record, etc. may be input from the terminal 200, and this information may be recorded in the storage unit 60.

Further, an imaging unit 310 that captures the motion of the subject as a moving image or a still image may be provided, and the imaging unit 310 may be a part of the acquisition unit 300. In this case, videos should be taken to check whether the person being cared for can wake up and get up on their own, whether they are able to walk by themselves, and how the person being cared for is cooking or cleaning up after cooking (see Figure 6). The image capturing unit 310 may acquire the image as a. By applying information regarding the behavior of the subject acquired by the imaging unit 310 to the evaluation model, the evaluation unit 10 evaluates items related to care or the mental and physical condition of the care subject. When such a mode is adopted, the evaluation unit 10 uses the daily movements of each care recipient, cooking operations performed on a trial basis, etc. to evaluate items related to care or mental and physical condition of each care recipient. can be evaluated automatically.

Furthermore, when the meal is stopped, the imaging unit 310 may obtain a still image or a moving image of the state after the meal, such as whether the care recipient has eaten all the food or has leftover food (see FIG. 2). Furthermore, the weight of the meal before the meal and the weight after the meal placed on the tray can be measured by the weighing section 320 that constitutes the acquisition section 300, and the result can be used to acquire the amount of the meal. Good (see Figure 3). In this case, the evaluation unit 10 applies information regarding the meals eaten by the person to be cared for to the evaluation model to evaluate items related to care or mental and physical condition of the person to be cared for. When such an aspect is adopted, the evaluation unit 10 can automatically evaluate items related to care or mental and physical condition of each care recipient based on the amount of food each care recipient eats. .

In addition, the evaluation unit 10 applies numerical information obtained by various sensors, such as vital information (body temperature, pulse, respiration, consciousness, blood pressure), breathing rate and heart rate obtained from the mat sensor, to the evaluation model. Evaluations may be made on items related to the care of the subject or items related to the mental and physical condition of the subject. In addition, daily life information such as meal form, amount of food, existence and amount of excretion/defecation, and medical information such as medical history are manually input from the terminal 200, and the evaluation unit 10 applies this information to the evaluation model. In this way, items related to the care of the subject or items related to the mental and physical condition may be evaluated.

Activities of daily living (ADL) may be acquired and evaluated as the movements of the person to be cared for. Activities of Daily Living (ADL) refers to Activities of Daily Living, and is the minimum daily living activities such as moving, excreting, and eating, and is an action that the care recipient must perform himself/herself. Based on the input information, the evaluation unit 10 evaluates independence and control for each of the following items: eating, transferring between chairs and beds, grooming, toilet movements, bathing, walking on level ground, going up and down stairs, changing clothes, defecation control, and urinary control. Evaluations such as partial assistance and total assistance (evaluation of 0 points, 5 points, 10 points, 15 points, etc.) may be performed.

The information on the person to be cared for and a moving image or a still image may be linked using positional information of the person to be cared for or facial recognition of the person to be cared for. The person being cared for has a position identifying member such as an RF tag or a GPS terminal, or the position identifying member is attached as a band. It is also possible to identify and link the post-meal state photographed by the imaging unit 310 to which care recipient. A position specifying member such as an RF tag may be attached to clothing or shoes, and may be attached to any location as long as the location of the care recipient can be specified. In this way, when identifying the person to be cared for in the information obtained by the acquisition unit 300 by specifying the location information of the person from the position specifying member owned by the person or attached to the person, evaluation is performed. The unit 10 may apply the information acquired by the acquisition unit 300 regarding each specified nursing care recipient to an evaluation model to evaluate items related to caregiving or mental and physical condition of each identified nursing care recipient. good. When such an aspect is adopted, it is possible to automatically determine whose information is being evaluated, which is advantageous in that it is possible to further reduce the effort required by the person in charge to collect information.

Furthermore, when receiving a meal or returning tableware after a meal, an authentication medium such as an ID card may be held over the reading unit 330 (see FIG. 3). In that case, the authentication medium such as an ID card may be The person to be cared for will be identified based on the information.

The identification of the target person's position information using the position identification member, identification by face recognition, identification using the reading unit 330, etc. will be performed by the identification unit 50 (see FIG. 1) of the information processing device.

The acquisition unit 300 including the imaging unit 310 and the like of this embodiment may be a terminal 200 such as a smartphone or a tablet installed in an elderly care facility or a nursing care facility or carried by a person in charge such as a care worker. Although this is typical, the present embodiment is not limited to such an aspect, and can also be applied to nursing care at home.

Further, information about the functions of the oral cavity, such as whether the patient can swallow saliva or swallow food without any problem, and whether the patient can turn over on his or her own, may also be obtained from the image capturing unit 310.

Further, a person in charge, such as a care worker, may specify who is to be imaged by the image capturing unit 310, and in that case, based on information specified by the person in charge, whose information is to be captured is determined by the person in charge. will be acquired by the acquisition unit 300. The information specified by the person in charge may be stored in the storage unit 60 and used when specifying the person to be cared for next time. Further, the formal identification of the person to be cared for may be performed by the person in charge approving the identification result by the identification unit 50. For example, a display such as "Mr. XX" may be displayed on the display unit 210 of the terminal 200, and the person in charge may tap the screen to select approval, thereby officially identifying the care recipient. . When such an aspect is adopted, it is advantageous in that the care recipient and the evaluation target can be linked more reliably. Note that if the display content of "Mr. XX" is incorrect, the user may input the person's name after tapping the screen. The identifying unit 50 also has an artificial intelligence function, and when information is modified in this way, the specific model used to identify a person may be modified. The specific model will also be stored in the storage unit 60.

The imaging unit 310 may be a terminal 200 such as a smartphone owned by a person in charge such as a nursing care worker or a rehabilitation worker, or the person in charge may designate a person to be photographed and then shoot a video or a still image. good. In this case, the video and still image information will be acquired after the person in charge specifies the care recipient, so the evaluation unit 10 using video and still image information can reduce the introduction cost. This is extremely useful in that it allows evaluation of For example, it is possible to input a person's name by using a dedicated application installed on the terminal 200 such as a smartphone, and after inputting the person's name and identification information by hand (manually) or voice through the input unit 220, Information regarding the person may be acquired using still images or videos from the terminal 200 such as a smartphone. In this case, the specific information of the person to be cared for is stored in the storage unit 60 in association with a video or still image taken by the terminal 200, and benefits can be obtained by applying the video or still image to the evaluation model. The evaluation results obtained by the evaluation unit 10 may be stored in the storage unit 60 in association with the specific information of the person to be cared for. The subject to be photographed may be, for example, the movement of the person to be cared for, or the state after eating (see FIG. 2).

The input from the terminal 200 may be directly input into the storage unit 60 of the information processing device, or the information may be sent from the terminal 200 and stored in the storage unit 60 of the information processing device. You can also do this.

The evaluation of each person to be cared for by the evaluation unit 10 is performed at a predetermined timing such as once in a predetermined period such as one day, one week, or one month, and the evaluation is stored in the storage unit 60 every time the evaluation is performed. good. Changes in the evaluation in the storage unit 60 may be checked on the terminal 200 as historical information. In this case, by entering the identification information (identification ID, name, age, etc.) of the person to be cared for, you can check the latest evaluation results of the person to be cared for by the evaluation unit 10 and changes in the evaluation results. It may be possible to do so.

It is not necessary that all the results are automatically acquired, and the results determined by the doctor or the care recipient may be input from the terminal 200 such as a tablet or a personal computer, and used for evaluation by the evaluation unit 10. For example, some information, such as whether or not you can swallow saliva, whether you have symptoms of dementia, whether you are excreting properly, etc., is determined by a person in charge such as a doctor or care recipient, and is input into the terminal 200. You may also do so. When such an aspect is adopted, the evaluation unit 10 can automatically evaluate necessary parts, and can also appropriately evaluate content that is difficult to evaluate automatically. It is possible to reduce costs and reduce the burden on the person in charge at the nursing care site.

By acquiring location information from a location specifying member such as an RF tag of the person being cared for, the evaluation unit 10 checks whether there are any problems with haiku, and acquires the distance traveled during the day and the walking speed, and also uses such information to perform the evaluation. You may also do so. When such an aspect is adopted, various information such as position information, travel distance, walking speed, etc. can be used to evaluate items related to care or mental and physical condition of each care recipient.

Further, the weight of the person to be cared for may be acquired by a scale 340 built into the mat of the bed 420 (see FIG. 4). In this case, the weight scale 340 becomes part of the acquisition unit 300. Further, when the care recipient steps on the height meter 410, the imaging unit 310 identifies the person to be cared for from the information of the position specifying member, and then acquires the measurement result by the height meter 410 as a still image or a video. (See Figure 5). In this case, the evaluation unit 10 may apply information regarding the weight or height of the person to be cared for to the evaluation model to evaluate items related to care or the mental and physical condition of the person to be cared for. When such an aspect is adopted, it is possible to automatically evaluate items related to care or mental and physical condition of each care recipient using changes in weight and height.

The acquisition unit 300 may acquire vital data of the person to be cared for, including pulse or heart rate, respiration, blood pressure, body temperature, and the like. In this case, the evaluation unit 10 may perform the evaluation by applying the vital data to the evaluation model.

The output unit 70 may automatically register the evaluation results from the evaluation unit 10 in the database 150 of LIFE (Scientific Nursing Care Information System) using nursing care software (dedicated software) (see FIG. 6). The LIFE database 150 accumulates information provided by nursing care providers nationwide, and according to this embodiment, registration in the LIFE database 150 can be performed automatically. The information used for registration with LIFE is anonymous information.

The evaluation section 10, the identification section 50, the storage section 60, the output section 70, etc. may be realized by one unit (control unit), or may be realized by different units. The functions of a plurality of "departments" may be integrated; for example, the functions of the evaluation section 10 and the identification section 50 may be realized by one unit. Further, the evaluation section 10, the identification section 50, the storage section 60, the output section 70, etc. may be realized by a circuit configuration.

The description of the embodiments described above and the disclosure of the drawings are merely examples for explaining the invention described in the claims, and the description of the embodiments and the disclosure of the drawings described above are only examples for explaining the invention described in the claims. The invented invention is not limited. In addition, the original claims may be expanded as appropriate.

10 Evaluation section 70 Output section 200 Terminal 300 Acquisition section 340 Weight scale 410 Height scale

Claims (11)

an acquisition unit having a measuring unit that acquires the amount of food eaten by the subject based on weight, or a first imaging unit that acquires the amount of food eaten by the subject as a still image or a video;
The measuring unit or an evaluation unit that performs an evaluation regarding the need for nursing care or the mental and physical condition of the subject by applying information regarding the amount of food eaten by the subject acquired by the first imaging unit ;
an output unit that outputs the evaluation results from the evaluation unit;
An information processing system comprising: The acquisition unit has a terminal that can identify the target person by input,
The information processing system according to claim 1, further comprising a storage unit that associates and stores the evaluation result by the evaluation unit and the target person specified by the terminal. The acquisition unit includes a second imaging unit that acquires the motion of the subject in a moving image,
The evaluation unit uses, as learning data, information regarding the amount of food eaten by the plurality of test subjects and the movements of the plurality of test subjects, and evaluation results regarding the need for nursing care or the mental and physical condition of the plurality of test subjects. By applying information on the subject's movements acquired by the second imaging unit in addition to information on the amount of food eaten by the subject to the evaluation model generated by machine learning, the need for nursing care for the subject can be determined. The information processing system according to claim 1 or 2, wherein the information processing system performs an evaluation regarding sexual or mental and physical conditions. The acquisition unit includes a second imaging unit that acquires the motion of the subject in a moving image,
Claim comprising: a specifying unit that specifies the subject being imaged by the second imaging unit by specifying location information of the subject from a position specifying member owned by the subject or attached to the subject. 2. The information processing system according to 1 or 2. 5. The information processing system according to claim 4, wherein the target person is formally identified by the person in charge approving the identification result by the identifying unit. The evaluation unit evaluates the amount of food eaten by the plurality of test subjects, the location information, moving distance or walking speed of the plurality of test subjects, and the evaluation results regarding the need for nursing care or mental and physical condition of the plurality of test subjects. In addition to information about the amount of food eaten by the subject, the subject's location information, movement distance, or movement distance obtained by the identification unit using the location identification member is added to the evaluation model generated by machine learning using learning data. 5. The information processing system according to claim 4 , which evaluates the need for nursing care or the mental and physical condition of the subject by applying walking speed. The acquisition unit has a weight scale for measuring the weight of the subject or a height scale for measuring the height of the subject,
The evaluation unit uses, as learning data, the amount of food eaten by the plurality of test subjects, the weight or height of the plurality of test subjects, and the evaluation results regarding the need for nursing care or the mental and physical condition of the plurality of test subjects. By applying information on the subject's weight or height in addition to information on the amount of food eaten by the subject to an evaluation model generated by machine learning, it is possible to evaluate the subject's need for care or their mental and physical condition. The information processing system according to claim 1 or 2, wherein the information processing system performs the following. The method according to claim 1 or 2, wherein the evaluation unit evaluates the need for nursing care or the mental and physical condition of the subject by applying numerical information obtained from a sensor or manually input information to the evaluation model. The information processing system described. 3. The information processing system according to claim 1, wherein the output unit automatically registers the results of the evaluation by the evaluation unit into a database of LIFE , which is a scientific nursing care information system . A step of obtaining the amount of food eaten by the subject by weight using a measuring unit, or obtaining the amount of food eaten by the subject in a still image or video using a first imaging unit;
The measuring unit or A step of evaluating the need for nursing care or the mental and physical condition of the subject by applying information regarding the amount of food eaten by the subject acquired by the first imaging unit ;
a step in which the output unit outputs the evaluation result by the evaluation unit;
An information processing method comprising: A program installed on an information processing device,
The information processing device in which the program is installed,
The amount of food eaten by the plurality of test subjects and the evaluation results regarding the need for nursing care or the mental and physical condition of the plurality of test subjects are used as learning data to create an evaluation model generated by machine learning, and are acquired by the measuring unit. By applying information about the amount of food eaten by the subject, or information about the amount of food eaten by the subject captured in still images or videos by the first imaging unit, it is possible to determine the need for nursing care or the physical and mental health of the subject. An evaluation function that performs evaluation regarding the condition,
an output function that outputs the evaluation results by the evaluation function;
A program that makes this possible.