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

Abstract

To provide an information processing device, an information processing method, and an information processing program that can assist in delivery of information on services and products related to nursing care to elderly persons and their families.SOLUTION: An information processing device 20 comprises: an acquisition unit 211; an analysis unit 212; and an extraction unit 213; and an output unit 214. The acquisition unit 211 acquires information on nursing care facilities from devices used in the nursing care facilities. The analysis unit 212 analyzes nursing care facilities for which the value of services or products related to nursing care can be appealed on the basis of the information on the nursing care facilities. The extraction unit 213 extracts a nursing care facility candidate on the basis of the result of analysing nursing care facilities by the analysis unit 212. The output unit 214 outputs the nursing care facility candidate extracted by the extraction unit 213.SELECTED DRAWING: Figure 7

Description

[Technical field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] Japan has seen a remarkable increase in life expectancy due to improvements in living standards, sanitary conditions, and medical standards that came with the rapid economic growth after the war. This, combined with a declining birth rate, has led to an aging society with a high aging rate. In such an aging society, it is expected that there will be an increase in people who require nursing care or nursing care due to illness, injury, aging, etc. (hereinafter referred to as "care recipients"). In nursing care facilities such as hospitals and elderly welfare facilities (hereinafter simply referred to as "facilities"), care is provided to care recipients by caregivers and nurses (hereinafter referred to as "care staff").

[0003] In a facility, the care staff is expected to do their best to provide appropriate care according to the condition of the care recipient. However, it is considered that the satisfaction of the care recipient with the provided care varies depending on the extent to which the care recipient's wishes are realized. Therefore, the issue at the facility is what kind of care to provide to the care recipient according to the condition of the care recipient. In relation to this, for example, the following Patent Document 1 discloses a technology aimed at realizing an environment in which anyone can propose optimal products and services by utilizing the results of a survey on customer satisfaction in a nursing care-related business. In this technology, a survey (questionnaire) is conducted regarding customer satisfaction, and services are proposed based on the survey results. However, there is a problem that collecting the questionnaires is time-consuming and only qualitative information is obtained.

[0004] In recent years, as the demand for nursing care services expands due to the aging of society, there is a demand for nursing care that is scientifically supported for its effectiveness in supporting the independence of care recipients and preventing their condition from worsening in order to maintain the quality of nursing care services (scientific nursing care). To achieve scientific nursing care, it is necessary to accumulate evidence and information based on objective facts, and to present the basis for the nursing care services provided to care recipients by analyzing the evidence. For example, LIFE (Long-term care Information For Evidence) has been put into operation as a scientific nursing care information system that collects and accumulates evidence. LIFE is a system in which each facility inputs data for specified input items into the official website of the Ministry of Health, Labor and Welfare, and the Ministry of Health, Labor and Welfare feeds back the results of the analysis of the data entered by each facility to each facility. The specified input items are items related to the content and plan of care for the care recipient, the condition of the care recipient, etc.

[0005] LIFE data contains a lot of useful information for improving care, such as the physical condition of the elderly, the state of dementia, and medical history. Therefore, LIFE data is important data that can lead to improvements in the management of nursing care facilities, such as improving the quality of care and identifying issues at one's own facility by comparing it with other facilities. For this reason, it is hoped that the original purpose of LIFE, "data utilization," will progress. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2003-132179 A Summary of the Invention [Problem to be solved by the invention]

[0007] In recent years, with the aging of society as a backdrop, many businesses have launched services and products related to nursing care for the elderly into the market. However, there is an issue that information about the services and products is not reaching facilities, the elderly, and their families sufficiently, meaning that the elderly and their families may miss opportunities to use excellent services and products.

[0008] The present invention has been made in consideration of the above circumstances, and aims to provide an information processing device, an information processing method, and an information processing program that can assist in delivering information about nursing care related services and products to elderly people and their families. [Means for solving the problem]

[0009] The above-mentioned object of the present invention is achieved by the following means.

[0010] (1) An information processing device comprising: an acquisition unit that acquires information regarding the nursing care facility; an analysis unit that analyzes nursing care facilities that can appeal to the value of nursing care-related services or products based on the information regarding the nursing care facility; an extraction unit that extracts candidate nursing care facilities based on the results of the analysis of the nursing care facilities by the analysis unit; and an output unit that outputs the candidate nursing care facilities extracted by the extraction unit.

[0011] (2) The information processing device described in (1) above, wherein the analysis unit further analyzes targets to which the value of nursing care-related services or products can be appealed based on information about the nursing care facility, the extraction unit extracts target candidates based on the results of the target analysis by the analysis unit, and the output unit outputs the target candidates extracted by the extraction unit.

[0012] (3) The information processing device according to (1) or (2) above, wherein the analysis unit calculates an effect of introducing the service or product, and the output unit outputs the effect of introducing the service or product.

[0013] (4) The information processing device described in (3) above, wherein the analysis unit analyzes issues at the candidate nursing care facility, and the output unit outputs the analysis results of the issues by the analysis unit.

[0014] (5) The information processing device according to (4) above, wherein the analysis unit simulates an additional amount obtained by solving the problem by introducing the service or product as the introduction effect.

[0015] (6) The information processing device according to (4) above, wherein the analysis unit simulates the cost reduction achieved by solving the problem through the introduction of the service or product as the introduction effect.

[0016] (7) An information processing device as described in (1) or (2) above, wherein the analysis unit further analyzes other nursing care facilities to compare with the candidate nursing care facilities, the extraction unit extracts other nursing care facilities based on the analysis results of the other nursing care facilities by the analysis unit, and the output unit outputs the status of the candidate nursing care facilities extracted by the extraction unit in a manner that allows comparison between the status of the other nursing care facilities and the candidate nursing care facilities extracted by the extraction unit.

[0017] (8) The information processing device according to (1) or (2) above, wherein the information relating to the nursing care facility includes at least one of life logs of residents of the nursing care facility, staff information, and facility information.

[0018] (9) The information processing device described in (2) above, wherein the target person includes at least one of a resident residing in a nursing care facility and a family member of the resident.

[0019] (9) An information processing method comprising the steps of: (a) acquiring information about the nursing care facility; (b) analyzing nursing care facilities that can appeal to the value of nursing care-related services or products based on the information about the nursing care facility; (c) extracting candidate nursing care facilities based on the results of the analysis of the nursing care facility in step (b); and (d) outputting the candidate nursing care facilities extracted in step (c).

[0020] (10) An information processing program for causing a computer to execute a process including the steps of (a) acquiring information about the nursing care facility, (b) analyzing nursing care facilities that can appeal to the value of nursing care services or products based on the information about the nursing care facility, (c) extracting candidate nursing care facilities based on the results of the analysis of the nursing care facilities in (b), and (d) outputting the candidate nursing care facilities extracted in (c). Effect of the Invention

[0021] According to the present invention, candidate facilities that can promote the value of nursing care-related services or products are presented. This allows service or product providers to effectively promote the use of their services or products to facilities. As a result, information on nursing care-related services and products is more likely to reach elderly people and their families. In addition, service or product providers can search for facilities that are suitable for their company's services or products. As a result, an improvement in the success rate of services or products is expected in sales by service or product providers to facilities. In addition, the introduction of a service or product to a facility solves or improves the problems the facility has, making it possible to provide high-quality nursing care services to elderly people who use the facility. [Brief description of the drawings]

[0022] [Figure 1] 1 is a diagram showing the overall configuration of a monitoring system according to an embodiment of the present invention; [Diagram 2] FIG. 2 is a diagram showing the inside of a room in which a care recipient is staying, in which the detection unit shown in FIG. 1 is disposed. [Diagram 3] FIG. 2 is a block diagram showing a hardware configuration of a detection unit. [Figure 4] 2 is a block diagram showing a hardware configuration of the server shown in FIG. 1. [Diagram 5] 2 is a block diagram showing a hardware configuration of the fixed terminal shown in FIG. 1. [Figure 6] 2 is a block diagram showing a hardware configuration of the mobile terminal shown in FIG. 1. [Figure 7] FIG. 5 is a functional block diagram of a control unit shown in FIG. [Figure 8] 1 is a flowchart illustrating a processing procedure of an information processing method according to an embodiment. [Figure 9] FIG. 13 is a schematic diagram for explaining generation of information related to nursing care facilities. [Figure 10] 1 is a table illustrating facility information (a part of basic information). [Figure 11] 13 is a schematic diagram illustrating an example of an output result of extracted candidate nursing care facilities. FIG. [Figure 12] 13 is a schematic diagram illustrating an example of an output result of extracting candidate nursing care facilities based on product names. FIG. [Figure 13] FIG. 13 is a schematic diagram illustrating a selection menu for selecting a detailed analysis to be performed on a target facility. [Figure 14] 13 is a graph illustrating a comparison result of fall risks (scores) between a target facility and other facilities. [Figure 15] 13 is a graph illustrating a comparison result of the amount of assistance between a target facility and other facilities. [Figure 16] 13 is a graph illustrating a comparison result of ADL between a target facility and other facilities. [Figure 17] 1 is a graph illustrating the progression of fall risk (over a 12-month period) in target facilities. [Figure 18] 1 is a graph illustrating the transition of the amount of care required (over a 12-month period) at a target facility. [Figure 19] FIG. 13 is a schematic diagram illustrating a simulation result of costs associated with the occurrence of falls among elderly people. [Figure 20] FIG. 13 is a schematic diagram illustrating a simulation result of an additional amount. [Figure 21] FIG. 13 is a schematic diagram illustrating a simulation result of the reduction in care time and labor costs. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0023] Hereinafter, an information processing device, an information processing method, and an information processing program according to an embodiment of the present invention will be described with reference to the drawings. In the drawings, the same elements are given the same reference numerals, and duplicated explanations will be omitted. Also, the dimensional ratios in the drawings are exaggerated for the convenience of explanation, and may differ from the actual ratios.

[0024] <Monitoring System 1> FIG. 1 is a diagram showing the overall configuration of a monitoring system 1 according to an embodiment. The monitoring system 1 has a plurality of detection units 10, a server 20, a fixed terminal 30, and one or more mobile terminals 40. These are connected to each other so as to be able to communicate with each other via a network 50 such as a LAN (Local Area Network), a telephone network, or a data communication network, by wire or wirelessly. The network 50 may include a relay device that relays communication signals. In the example shown in FIG. 1, the detection unit 10, the server 20, the fixed terminal 30, and the mobile terminal 40 are connected to each other so as to be able to communicate with each other via a network 50 such as a wireless LAN (for example, a LAN based on the IEEE802.11 standard) including an access point 51. The monitoring system 1 constitutes a care workload calculation system. The care workload calculation system may be constituted by only the server 20.

[0025] The monitoring system 1 is suitably installed in buildings such as hospitals and elderly care facilities. In the example shown in Fig. 1, the monitoring system 1 is installed in a building of a facility that has a plurality of rooms including a care station and a plurality of rooms in which a plurality of care recipients 80 reside. Hereinafter, the rooms in which the care recipients 80 reside will also be simply referred to as "rooms".

[0026] The detection units 10 are disposed in the rooms of each floor (floors (1) to (3)), which are the observation areas of the care recipients 80. In the example shown in FIG. 1, on floor (1), four detection units 10 are disposed in the rooms of the care recipients 80, Mr. A, Mr. B, Mr. C, and Mr. D. Although not shown, a plurality of detection units 10 are disposed in the rooms of the care recipients 80 on the other floors as well. Each of the care staff 70 carries a mobile terminal 40. The server 20 may be an external server connected to the network 50. Furthermore, the fixed terminal 30 may be omitted, and the server 20 or the mobile terminal 40 may have the function thereof.

[0027] <Detection unit 10> Fig. 2 is a diagram showing the interior of a room of a care recipient 80 in which the detection unit 10 shown in Fig. 1 is arranged. Fig. 3 is a block diagram showing a hardware configuration of the detection unit 10 shown in Fig. 1. The detection unit 10 constitutes a monitoring device.

[0028] 2, the camera 14 and the body movement sensor 15 are disposed, for example, on the ceiling of a room. The camera 14 and the body movement sensor 15 may be disposed on the upper part of a wall or attached to the bed 90. The care call unit 16 is disposed, for example, at an appropriate position on the wall.

[0029] 3, the detection unit 10 includes a control unit 11, a communication unit 12, a storage unit 13, a camera 14, a body movement sensor 15, and a care call unit 16, and these components are connected to each other via a bus. Each component may be mounted in a single housing, or may be mounted in a separate housing.

[0030] The control unit 11 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), etc. The control unit 11 controls each part of the detection unit 10 and performs calculation processing according to a program. The functions of the control unit 11 will be described in detail later.

[0031] The communication unit 12 is an interface circuit (eg, a LAN card, a wireless communication circuit, etc.) for communicating with, for example, the server 20 via a LAN.

[0032] The storage unit 13 includes a hard disk drive (HDD), a solid state drive (SSD), etc. The storage unit 13 stores various programs and various data.

[0033] Camera 14 may capture an image of an imaging area including, for example, bed 90, and output a captured image (image data). Camera 14 may be configured to include an imaging optical system and a two-dimensional imaging element. The captured image includes a still image and a video. Camera 14 may be, for example, a visible light camera or a near-infrared camera. Hereinafter, the captured image captured by camera 14 may also be simply referred to as a "captured image."

[0034] The body movement sensor 15 transmits microwaves to a predetermined irradiation area and receives reflected waves, thereby detecting the Doppler shift of the microwaves caused by the body movement (e.g., breathing) of the care recipient 80 as body movement. The predetermined irradiation area is an area where microwaves can be irradiated to the care recipient 80, and may be, for example, an area including a part or all of the bed 90. The body movement sensor 15 detects chest body movement (up and down movement of the chest) accompanying the breathing movement of the care recipient 80, and detects abnormal micro-body movement by detecting a disruption in the period of the chest body movement or an amplitude of the chest body movement below a preset threshold.

[0035] The care call unit 16 includes a push button switch, and detects a care call when the switch is pressed by the care recipient 80. Instead of the push button switch, a care call may be detected based on the voice of the care recipient 80 using an audio microphone. The care call unit 16 may include a microphone and a speaker for voice communication with the mobile terminal 40.

[0036] The control unit 11 recognizes the behavior of the care recipient 80 from the captured image. The recognized behaviors include, for example, getting up, getting out of bed, getting out of a seat, falling, dropping, walking, and going outside.

[0037] The control unit 11 detects an image silhouette (hereinafter, referred to as a "human silhouette") from a plurality of captured images (e.g., moving images). The human silhouette can be detected, for example, by extracting a range of pixels with a relatively large difference by time difference that subtracts images captured before and after. The human silhouette may be detected by a background subtraction method that subtracts a background image from a captured image. The human silhouette may be replaced by a joint point detected from a captured image using a trained neural network model. The behavior of the care recipient 80 may be detected from a temporal change in the posture (e.g., standing, sitting, and lying) of the care recipient 80 recognized based on the human silhouette. The behavior of the care recipient 80 may be detected from the relative positional relationship between the human silhouette and an object installed in the room, such as a bed 90. For example, "getting up" may be detected as an action (state) in which the human silhouette crosses the area of ​​the bed 90 that is preset as a coordinate area in the captured image.

[0038] The detection result by the detection unit 10 is transmitted to the server 20 and can be used to generate information about the nursing care facility, which will be described later. For example, information about the behavior of the care recipient 80 detected by the detection unit 10 can be reflected in the care record of the care recipient 80. In addition, the captured image taken by the camera 14 is stored in the storage unit 23 as a video record, which will be described later.

[0039] <Server 20> 4 is a block diagram showing a hardware configuration of the server 20. The server 20 includes a control unit 21, a communication unit 22, and a storage unit 23, which are interconnected by a bus. The server 20 functions as an information processing device.

[0040] The information processing device of this embodiment presents facilities or subjects to which the value of a nursing care service or product can be promoted to a business operator, which is a service provider. In this specification, being able to promote value means that the service or product can be expected to be used, or that the service or product can generate interest. Business operators can be, for example, manufacturers, financial institutions, facilities, etc., and subjects can be, for example, elderly people (care recipients 80) residing in the facility and their families, etc.

[0041] The information processing device analyzes the facility from various viewpoints, such as the use of diapers by the care recipient 80, the risk of falling, the amount of assistance, etc. Then, the information processing device extracts facility candidates that can appeal to the value of the service or product, and presents them to the business operator. The information processing device can also compare the extracted facility candidates with other facilities from the above viewpoints, and present the comparison results to the business operator or facility. The information processing device can also analyze issues in the facility candidates and present them to the facility candidates. Furthermore, the information processing device can present to the business operator or facility the results of a simulation of additional charges and labor costs as the introduction effect of the service or product. The analysis of issues and the presentation of the introduction effect will be described in detail later.

[0042] The control unit 21 includes a CPU, RAM, ROM, etc. (not shown). The control unit 21 controls each part of the server 20 and performs calculation processing according to an information processing program. The functions of the control unit 21 will be described in detail later.

[0043] The communication unit 22 is configured with an interface circuit for communicating with, for example, the detection unit 10, the fixed terminal 30, and the mobile terminal 40, etc., via a LAN.

[0044] The storage unit 23 is configured with a HDD, an SSD, etc., and stores an OS (Operating System), various programs such as an information processing program, and various data. In the present embodiment, the storage unit 23 also stores facility information (described later) for a plurality of facilities.

[0045] <Fixed terminal 30> 5 is a block diagram showing the hardware configuration of fixed terminal 30. Fixed terminal 30 is a PC (Personal Computer) and includes a control unit 31, a communication unit 32, a storage unit 33, a display unit 34, and an input unit 35. The basic configurations of control unit 31, communication unit 32, and storage unit 33 are similar to the configurations of the corresponding elements of server 20, so duplicated explanations will be omitted.

[0046] The display unit 34 is configured with a display (e.g., a liquid crystal display) and displays various information. For example, the display unit 34 displays extracted facility candidates, a selection menu for detailed analysis of the target facility, and the like. The input unit 35 is configured with a keyboard or touch panel and accepts operational input of various information by the business operator, manager, and the like. The input unit 35 accepts input of, for example, items that are central when the information processing device analyzes a facility (e.g., diaper use, fall risk, amount of assistance, etc.). The input unit 35 also allows the business operator to input the target facility for detailed analysis, for example. The control unit 31 can accept input from the input unit 35 of a table in which the correspondence between a unique ID that identifies the detection unit 10 and the care recipient 80 is registered, transmit the table to the server 20, and store the table in the memory unit 23.

[0047] Furthermore, the control unit 31 may receive, via the input unit 35, a table in which the correspondence between the unique ID for identifying the mobile terminal 40 and the care staff 70 is registered, and transmit the table to the server 20, which may then be stored in the storage unit 23.

[0048] Furthermore, the control unit 31 can receive, via the input unit 35, a table in which the correspondence between the care staff 70 and the care recipients 80 for which the care staff 70 are in charge is registered, transmit the table to the server 20, and store the table in the memory unit 23.

[0049] Furthermore, the control unit 31 can receive a shift schedule of the care staff 70 and the like via the input unit 35, transmit it to the server 20, and store it in the storage unit 23.

[0050] Furthermore, when the care staff 70 or technical staff installs the detection unit 10 in each room (residential room), the care staff 70 or technical staff or the like associates the room number with the detection unit 10 through the fixed terminal 30. Furthermore, the care staff 70 or technical staff or the like calibrates and specifies the position information of the objects installed in the room, such as the bed 90, i.e., the contour information of the upward view taken by the camera 14 on the ceiling. Furthermore, the care staff 70 or technical staff or the like also associates the personal IDs (name, identification number, etc.) of the care recipients 80 residing there with each room number. The fixed terminal 30 manages a list of care recipients including the personal IDs, room numbers, names of the staff members in charge, units to which the care recipients belong, etc. of the care recipients. The list of care recipients can be shared within the monitoring system 1.

[0051] <Mobile terminal 40> 6 is a block diagram showing the hardware configuration of the mobile terminal 40. The mobile terminal 40 includes a control unit 41, a wireless communication unit 42, a storage unit 43, an input display unit 44, a voice input / output unit 45, and a position detection unit 46, which are connected to each other via a bus. The mobile terminal 40 may be configured by a portable communication terminal device such as a tablet computer, a smartphone, or a mobile phone. The basic configuration of the control unit 41 is similar to that of the control unit 21 of the server 20, so a duplicated description will be omitted. The details of the functions of the control unit 41 will be described later.

[0052] The wireless communication unit 42 wirelessly communicates with each device directly or via an access point 51 using wireless communication standards such as Wi-Fi and Bluetooth (registered trademark).

[0053] The storage unit 43 is configured with an SSD or an SD card, and stores mobile applications compatible with the monitoring system 1, various programs, and various data.

[0054] The input display unit 44 is configured, for example, with a touch panel in which a touch sensor is superimposed on a display surface of a liquid crystal, etc. The input display unit 44 displays various information and accepts various inputs.

[0055] The voice input / output unit 45 is, for example, a speaker and a microphone, and enables the care staff 70 to make a voice call with another mobile terminal 40 via the wireless communication unit 42. The voice input / output unit 45 enables the care staff 70 to make a voice call with the care recipient 80 via the detection unit 10 via the server 20 via the wireless communication unit 42.

[0056] The position detection unit 46 is a GPS module or the like, and detects the position of the mobile terminal 40. As will be described later, the position of the mobile terminal 40 may be detected by the control unit 41 using signals transmitted from beacons installed at predetermined installation positions.

[0057] (Extraction of facility candidates) FIG. 7 is a functional block diagram of the control unit 21 shown in FIG. 4. The control unit 21 functions as an acquisition unit 211, an analysis unit 212, an extraction unit 213, and an output unit 214. These functions are realized by a CPU executing an information processing program. FIG. 8 is a flowchart for explaining the processing procedure of the information processing method of this embodiment. The processing of the flowchart shown in the figure is also realized by a CPU executing an information processing program. FIG. 9 is a schematic diagram for explaining the generation of information about nursing care facilities, and FIG. 10 is a table illustrating facility information (part of basic information). FIG. 11 is a schematic diagram illustrating the output result of extracted facility candidates.

[0058] As shown in FIG. 8, first, the acquisition unit 211 acquires information about the nursing care facility (step S101). More specifically, the acquisition unit 211 acquires information about the nursing care facility from devices used in the facility. The devices used in the facility may be, for example, a monitoring device (detection unit 10), a server 20, a fixed terminal 30, a mobile terminal 40, a device worn by an elderly person, a personal computer installed in the facility, and the like. The acquisition unit 211 may also acquire information about the nursing care facility stored in an external storage device or the like online through the network 50, for example. Alternatively, the acquisition unit 211 may acquire information about the nursing care facility stored in an external storage device or the like offline through, for example, a Universal Serial Bus (USB) memory, a Digital Versatile Disc (DVD)-ROM, and the like.

[0059] The monitoring equipment includes sensors such as a camera 14, a body movement sensor 15, an infrared sensor, a vital sensor, and a mat sensor, which are installed in the room of the care recipient. The vital sensor acquires vital data such as the elderly person's pulse and breathing. The mat sensor is installed around the bed and detects when the elderly person gets out of bed, etc. The equipment worn by the elderly person includes a urination prediction device (not shown), etc. The urination prediction device is a device that detects the amount of urine stored in the elderly person's bladder using an ultrasonic sensor or the like and issues an alert according to the amount of urine.

[0060] [Information about nursing care facilities] As shown in FIG. 9, information related to the nursing care facility includes, for example, a life log of the elderly person (hereinafter referred to as "elderly life log"), staff information, and facility information. The staff information and facility information are stored, for example, in a nursing care facility database (hereinafter referred to as "nursing care facility DB") 230. The nursing care facility DB is created, for example, in the memory unit 23. Alternatively, the nursing care facility DB is created in an external storage device, cloud, etc. connected to the server 20 via a network. The control unit 21 is configured to be able to access the nursing care facility DB via the communication unit 22.

[0061] The elderly life log 231 is a life log created for each elderly person based on LIFE data 232, care record 233, life rhythm record 234, and video record 235. LIFE is a scientific care information system promoted by the Ministry of Health, Labor and Welfare. In order to utilize this LIFE, data input to the Ministry of Health, Labor and Welfare's LIFE system is required. The LIFE data has many input items, such as medical history, ADL (Activities of Daily Living), and nutrition. The care record is a record of the care service provided to the elderly by the care staff 70, the elderly's health condition, progress observation, activity status, etc., and is managed by each facility. The life rhythm record is, for example, a record of the elderly person's going out, getting out of bed indoors, waking up (in bed), and sleeping (in bed) in a day, and is managed by each facility. The video record is data of a video taken of the care recipient by a camera 14 installed in the elderly person's room, and is managed by each facility.

[0062] [Elderly Life Log] The elderly life log includes four types of information: basic information, assessment information, intervention information, and behavioral information.

[0063] The basic information includes the name of the nursing care facility where the person lives, a face sheet, and an interest item. The face sheet includes example items such as name, address, sex, address, phone number, emergency contact, consultation, consultation content, level of care required, level of independence in daily life, level of independence in daily life for elderly people with dementia, medical history, and medication information. The interests include example items such as going to the toilet by oneself, lifelong learning / history, taking a bath by oneself, reading, dressing by oneself, haiku, eating by oneself, calligraphy / penmanship, brushing teeth, drawing / picture letters, etc.

[0064] Assessment information includes items such as ADL (level of assistance), daily living activities (level of assistance), motivation, degree of peripheral symptoms, nutritional status, oral condition, and excretory status. ADL (level of assistance) includes items such as eating, transferring between chair and bed, grooming, toileting, bathing, walking on flat ground, climbing stairs, dressing, and bowel control. Daily living activities (level of assistance) include items such as turning over in bed, getting up, sitting, standing, and standing. Motivation includes items such as getting up, communicating, eating, excretion, and rehabilitation activities. The degree of peripheral symptoms includes items such as asking the same thing over and over again, often losing or misplacing or hiding things, not showing interest in everyday things, and getting up in the middle of the night for no special reason. Examples of nutritional status include risk level of malnutrition, whether or not enteral nutrition is used, whether or not intravenous nutrition is used, oral intake, need for dysphagia-adjusted foods, food type, whether or not thickened food is used, food intake, required nutrition, and amount of nutrition provided. Examples of oral status include dirty teeth / dentures, few teeth but no dentures used, choking easily, spilling food, poor tongue movement, phlegm buildup, and dry mouth. Examples of excretion status include urination status, bowel status, use of diapers, and use of portable toilets.

[0065] The intervention information includes items for care records and functional training. The care records include example items for meals, snacks, hydration, excretion, regular medication, ad-hoc medication, vital signs, oral care, individual training, bathing, wake-up care, bedtime care, rounds, recreation, position changes, poor physical condition, incidents (falls), BPSD, near misses, and accident reports. The functional training includes example items for rehabilitation and recreation.

[0066] Behavioral information includes items about behavior and daily activities. Examples of behavior include walking speed, number of repetitions, degree of unsteadiness, and number of stops. Examples of daily activities include time spent sleeping, time out of bed, time spent sitting, time outside, and time spent on hobbies, activities, and role activities.

[0067] From the elderly life log, information about each elderly person and about all elderly people (the entire facility) can be obtained. Information about elderly people includes, for example, the amount of assistance, the burden of care, the amount of diapers used, the prescription and usage of medicines, living alone / living with others, meals (provided by the facility / delivery / self-cooking, etc.), use of nursing care taxis, etc. Regarding the use of nursing care taxis, information such as whether the elderly person can transfer by themselves and go out is included.

[0068] [Staff information] Staff information includes basic information and work shift items. Basic information includes the staff member's name, the name of the nursing care facility where the staff member works, address, date of joining the company, qualifications, employment category (full-time, part-time, dispatched), and example items of job type. Work shifts include information on day shift, early shift, late shift, night shift, morning shift, holidays, night duty, and staffing.

[0069] From the staff information, for example, information such as shifts, amount of overtime, etc., can be obtained for each care staff member 70 and for all care staff members 70.

[0070] [Facility information] The facility information includes individual information about the nursing care facility, such as basic facility information, management information, and the outbreak status of infectious diseases. The basic facility information includes, for example, the facility name, address, telephone number, representative name, number of beds, nursing care style, total number of staff, staff overtime hours, and visiting reservation method (telephone / web). FIG. 10 shows an example of some of the basic facility information. Management information includes, for example, nursing care fee amount, acquisition surcharge, facility occupancy rate, and other information.

[0071] 8, the analysis unit 212 analyzes nursing care facilities (step S102). Based on the information on nursing care facilities acquired by the acquisition unit 211, the analysis unit 212 analyzes facilities that can promote the value of services or products related to nursing care.

[0072] Nursing care-related services are services such as insurance products, financial products, and nursing care services provided by businesses (service providers). Nursing care-related products are products such as urination prediction devices, monitoring devices, nursing care robots, medicines, and nursing care supplies manufactured by businesses (manufacturers of the products). The analysis unit 212 analyzes facilities where the value of the businesses' services or products can be promoted from various axes (perspectives), such as the elderly's use of diapers, risk of falling, and amount of assistance. For example, a case will be described where a nursing care facility where the value of the businesses' services or products can be promoted from the perspective of diaper use is analyzed.

[0073] In order for an elderly person who wears diapers to remove the diaper (to be able to urinate in the toilet), the care staff 70 needs to decide the timing for the elderly person to move to the toilet in time for urination. As described above, the urination prediction device measures the elderly person's urine volume and issues an alert according to the amount of urine stored in the elderly person's bladder. For example, when the amount of urine measured by the urination prediction device reaches a predetermined amount, the care staff 70 guides the elderly person to the toilet. This enables the elderly person to urinate in the toilet.

[0074] In addition, since the cost of diapers is usually borne by the facility, the cost of diapers borne by the facility increases if there are many diaper users. The analysis unit 212 can analyze a facility where the value of the urination prediction device can be promoted from the viewpoint of reducing the use of diapers in the facility. For example, a facility with many diaper users or a facility with many elderly people who can be potty trained has a large absolute amount of diapers used in the facility. Therefore, if the introduction of a service or product enables many elderly people to be potty trained, the cost of diapers borne by the facility may be significantly reduced. That is, the analysis unit 212 determines that the urination prediction device can be expected to be used by facilities with many diaper users or facilities with many elderly people who can be potty trained. In other words, the analysis unit 212 determines that a facility with many diaper users or facilities with many elderly people who can be potty trained are interested or will be interested in the urination prediction device. Therefore, the analysis unit 212 analyzes that facilities with many diaper users and facilities with many elderly people who are potty trained can be facilities where the value of the urination prediction device can be promoted.

[0075] Thus, the main benefit for the facility when elderly people are potty trained is the reduction in diaper costs, while the benefit for the elderly is that they can use the toilet to relieve themselves, improving their quality of life and giving them a chance to regain confidence in using the toilet.

[0076] Next, the extraction unit 213 extracts candidate nursing care facilities (step S103). The extraction unit 213 extracts the candidate facilities based on the analysis results of the facilities by the analysis unit 212. The candidate facilities are candidates for target facilities for performing detailed analysis, which will be described later. The extraction unit 213 extracts the candidate facilities by searching the nursing care facility DB for facilities with many diaper users and facilities with many elderly people who can be potty trained. Whether or not potty training is possible can be determined by taking into consideration, for example, the elderly person's bowel / urination status, willingness to defecate, bowel / urination control, and other items.

[0077] The extraction unit 213 can extract one or more facility candidates as the facility candidates. When extracting multiple facility candidates, the facility candidates are extracted in an order according to the analysis axis. For example, the facility candidates may be extracted in order of the number of diaper users or elderly people who can be potty trained. Also, if no suitable facility is found as the facility candidate, no facility candidate may be extracted. For example, assume that the extraction unit 213 extracts four facilities, "Care Facility A," "Care Facility D," "Care Facility H," and "Care Facility J," as the facility candidates.

[0078] Next, the output unit 214 outputs the nursing care facility candidates (step S104). The output unit 214 outputs the names of the facility candidates extracted by the extraction unit 213 to the display unit 34 of the fixed terminal 30 and controls to display them on the display. As shown in FIG. 11, the output unit 214 displays, for example, the items (hereinafter referred to as "analysis axes") that are used as axes in the analysis of the facilities along with the names of the extracted facility candidates on the display. The figure illustrates a case in which the names of the four facility candidates "Nursing care facility A", "Nursing care facility D", "Nursing care facility H", and "Nursing care facility J" and the analysis axis "diaper user" are displayed on the output screen 300. The display of the analysis axis "diaper user" may have a background of a different color (gray in the figure) so that it is visually distinguishable from the other unused analysis axes "fall risk" and "amount of assistance". Note that other analysis axes ("Risk of falling" and "Amount of assistance") are displayed on the output screen 300 because the system is configured to allow the business operator to select these analysis axes when reanalyzing, as will be described later.

[0079] Although the figure illustrates an example in which four facility candidates are displayed, the number of facility candidates displayed may be more or less than four.

[0080] 8, the control unit 21 acquires information about the nursing care facility from the device used in the facility, and analyzes the facility that can promote the value of the nursing care related service or product based on the information about the nursing care facility. Then, the control unit 21 extracts facility candidates based on the facility analysis result, and outputs the extracted facility candidates.

[0081] [Change analysis axis] The business operator can change the analysis axis using the input unit 35 of the fixed terminal 30 and have the information processing device reanalyze the nursing care facility. The business operator can select the analysis axis from "diaper user," "risk of falling," and "amount of assistance." For example, the business operator can change the analysis axis to "risk of falling" by clicking the selection button 301 for "risk of falling" with the mouse on the output screen 300 shown in FIG. 11.

[0082] When the analysis axis is changed to "fall risk", the analysis unit 212 analyzes the facility again with the analysis axis set to "fall risk". More specifically, the analysis unit 212 analyzes the facility where the value of the monitoring device can be promoted from the viewpoint of reducing the fall risk. The analysis unit 212 determines that the use of the monitoring device is expected in the facility where the fall risk is high. In other words, the analysis unit 212 determines that the facility where the fall risk is high is interested or will be interested in the monitoring device. Therefore, the analysis unit 212 analyzes that the facility where the fall risk is high can be a facility where the value of the monitoring device can be promoted. Note that the level of the fall risk in the facility can be determined, for example, by calculating a fall risk score for each facility and determining the level of the fall risk score.

[0083] The analysis axes are not limited to "diaper user," "fall risk," and "amount of assistance." The analysis unit 212 may be configured to analyze the facility with respect to other analysis axes.

[0084] [Extracting nursing care facilities based on product name] FIG. 12 is a schematic diagram illustrating an example of an output result in which candidate nursing care facilities are extracted based on product name. Instead of the above-mentioned analysis using diaper users, fall risk, or amount of assistance as the analysis axis, facilities can also be analyzed based on product name (using product name as the analysis axis). The figure illustrates an output screen 310 in which a urination prediction device is analyzed based on the product name "ABC001" and candidate facilities are output. The business operator can select the product name from a pull-down menu 311.

[0085] As described above, since there is a relationship between diaper use and urination prediction devices, the urination prediction device as an analysis axis is considered to correspond to diaper users. Therefore, when the urination prediction device is set as the analysis axis, for example, the facility can be analyzed in the same way as when the analysis axis is "diaper users."

[0086] (Setting target facilities for detailed analysis) The business operator can set any one of the facility candidates extracted by the information processing device (e.g., nursing care facilities A, D, H, and J in FIG. 11 or FIG. 12) as the target facility. Alternatively, the business operator can set any one of the facilities selected from a list of facilities (not shown) stored in the storage unit 23 as the target facility.

[0087] FIG. 13 is a schematic diagram illustrating a selection menu for selecting a detailed analysis to be performed on a target facility. In the example shown in the figure, the analysis unit 212 is configured to perform an analysis of "comparison with other facilities," "analysis of issues," or "introduction effect" on the target facility. The selection menu 400 includes a facility name setting unit 401 and a selection button group 410. The facility name setting unit 401 displays the facility name of the target facility set (input) by the business operator. The selection button group 410 includes selection buttons 411 to 413 for selecting the content of the detailed analysis to be performed on the target facility. The selection button 411 is a selection button for comparing the target facility with other facilities. The selection button 412 is a selection button for analyzing issues of the target facility. The selection button 413 is a selection button for calculating the introduction effect of a service or product on the target facility.

[0088] (Comparing the target facility to other facilities) When the business operator selects the selection button 411, the target facility is compared with other facilities. The analysis unit 212 further analyzes the other facilities for comparison with the target facility. The reason for comparing the target facility with other facilities is to make the care staff of the target facility aware of issues that the target facility has.

[0089] The analysis unit 212 analyzes other facilities along analytical axes such as "diaper users," "risk of falling," and "amount of assistance," in the same manner as the target facility.

[0090] The extraction unit 213 extracts other facilities based on the analysis results of the other facilities by the analysis unit 212. For example, when "diaper users" is analyzed as an analysis axis, the extraction unit 213 extracts the other facilities by searching the nursing care facility DB for facilities with many diaper users or facilities with many elderly people who can be potty trained.

[0091] The output unit 214 outputs, for example, "diaper users," the situation of the target facility and the situation of other facilities extracted by the extraction unit 213 in a comparable manner. The business operator (for example, a manufacturer of urination prediction devices) presents the results of comparing the target facility with the other facilities to the target facility. For example, the number of diaper users at the target facility and the average number of diaper users at the other facilities are displayed on a display in a comparable manner. This allows the business operator to make the target facility aware of issues related to diaper use and to propose the introduction of their own products to the target facility with the aim of solving these issues.

[0092] FIG. 14 is a graph illustrating the comparison result of the fall risk (score) between the target facility and other facilities. In the figure, the scores (total values) of the fall risk in the target facility (hereinafter also referred to as the "own facility"), the special nursing home for the elderly, the paid nursing home, and the long-term care facility for the elderly are "22", "28", "20", and "19", respectively. Falls of the elderly are mainly divided into those caused by peripheral symptoms of dementia and those caused by motivation. Falls caused by peripheral symptoms are, for example, when wandering, impatience, delusions, hallucinations, etc. occur, and the person cannot recognize the terrain or steps, and stumbles and falls. Falls caused by motivation are when the person has a strong desire to act, but cannot recognize steps due to the decline in physical function caused by aging, and stumbles and falls. For example, the score caused by peripheral symptoms in the own facility is 14, and the score caused by motivation is 7.5.

[0093] Comparing the facility itself with other facilities, the score of 7.5 attributable to motivation at the facility itself is higher than the scores attributable to motivation at other facilities (special nursing home for the elderly, fee-paying nursing home, and long-term care facility for the elderly) (4, 6.4, and 6.4, respectively). In other words, the facility itself has a problem in that the risk of falls attributable to motivation is higher than at other facilities. Therefore, the operator can propose to the target facility that they introduce their own product (e.g., monitoring device) with the aim of solving this problem.

[0094] FIG. 15 is a graph illustrating the comparison result of the amount of assistance between the target facility (own facility) and other facilities. When the issue at the own facility is an issue related to the amount of assistance, the amount of assistance at the own facility and the average amount of assistance at other facilities are displayed on the display so that they can be compared. The amount of assistance is mainly divided into the amount of assistance for ADL and the amount of assistance for peripheral symptoms.

[0095] It is also possible to compare the ADL of the target facility (your facility) with other facilities. Figure 16 is a graph illustrating the results of comparing the ADL of the target facility with other facilities. In this case, the average ADL of the facility is displayed on the display so that it can be compared with the average ADL of the other facilities. The ADL is mainly divided into toileting, bathing, walking on flat ground, bowel control, bladder control, grooming, dressing, transferring between chair and bed, going up and down stairs, and eating.

[0096] (Analysis of issues at target facilities) The analysis unit 212 further analyzes the causes of the problem at the target facility. For example, the analysis unit 212 can identify that the problem at the target facility is caused by the residents (elderly people) of the facility. For example, if the problem at the target facility is an increase in diaper costs, and the number of diaper users is increasing while the unit price of diapers and other conditions remain unchanged, the analysis unit 212 identifies that the increase in diaper costs is caused by the increase in diaper users.

[0097] Then, the analysis unit 212 further analyzes targets to which the value of a service or product related to nursing care can be promoted based on the information on the nursing care facility. For example, the analysis unit 212 analyzes that, among diaper users, elderly people who can be potty trained can be targets to which the value of the urination prediction device can be promoted. An elderly person who can be potty trained is, for example, an elderly person who uses diapers and can move to the toilet by himself and excrete by himself. That is, the analysis unit 212 determines that an elderly person who can be potty trained is expected to use the urination prediction device. In other words, the analysis unit 212 determines that an elderly person who can be potty trained is interested or will be interested in the urination prediction device.

[0098] The extraction unit 213 extracts candidate subjects based on the analysis result of the subjects by the analysis unit 212. The output unit 214 outputs the candidate subjects extracted by the extraction unit 213 as the analysis result. The output unit 214 outputs the IDs of the candidate subjects extracted by the extraction unit 213 to the display unit 34 of the fixed terminal 30, and controls so as to display a list on the display.

[0099] Although the above has been described by taking an example of an issue related to diaper use, the same applies to the analysis of issues related to the risk of falling and issues related to the amount of care. For example, when analyzing an issue related to the risk of falling, elderly people who are at high risk of falling and for whom monitoring devices are effective are extracted and displayed in a list. An elderly person at high risk of falling is, for example, an elderly person with low ADL but with peripheral symptoms of dementia who is highly motivated to walk around or act on their own. Also, when analyzing an issue related to the amount of care, elderly people who require a large amount of care are extracted and displayed in a list.

[0100] On the other hand, there may be cases where the cause of the issues at the target facility is something other than the elderly. For example, assume that the risk of falling changes over time. FIG. 17 is a graph illustrating the transition (over 12 months) of the risk of falling at the target facility. The analysis unit 212 analyzes the change over time of the risk of falling at the target facility. Furthermore, the extraction unit 213 extracts, for example, the risk of falling over a 12-month period based on the analysis results of the analysis unit 212. The output unit 214 outputs the transition (over 12 months) of the risk of falling extracted by the extraction unit 213. This allows the business operator to grasp the change in the risk of falling from month to month and the months with high and low risk of falling.

[0101] Also, assume that the amount of assistance changes over time. Fig. 18 is a graph illustrating the change over time (over 12 months) in the amount of assistance in a target facility. The analysis unit 212 analyzes the change over time in the amount of assistance. Furthermore, the extraction unit 213 extracts, for example, the amount of assistance over a 12-month period based on the analysis results of the analysis unit 212. The output unit 214 outputs the change over time (over 12 months) in the amount of assistance extracted by the extraction unit 213. This allows the business operator to grasp the change in the amount of assistance from month to month and months with a large or small amount of assistance.

[0102] (Prediction of the effect of introducing a service or product) In order to have a service or product used at a target facility, it is considered effective to present the effect of introducing the service or product to the target facility. The information processing device of this embodiment has a function of predicting the effect of introducing the service or product and presenting the prediction result to the target facility.

[0103] More specifically, the analysis unit 212 predicts (simulates) the extent to which the problem of the target facility is likely to be improved by the introduction of the service or product as the effect of the introduction of the service or product. The output unit 214 outputs the prediction result (simulation result) by the analysis unit 212. The output unit 214 outputs the prediction result to the display unit 34 and controls so that the prediction result is displayed on the display. This allows the business operator and the target facility to know how much effect can be obtained by introducing the service or product, or how much the problem is likely to be improved.

[0104] For example, the analysis unit 212 calculates the additional payment that can be obtained by an elderly person being able to stop wearing diapers at the facility and the amount of diaper expenses that can be reduced, and outputs the calculation results as prediction results. The output unit 214 outputs the prediction results to the display unit .

[0105] FIG. 19 is a schematic diagram illustrating a simulation result of the cost associated with an elderly person's fall. The figure illustrates an example of calculating the cost (yen) associated with a fall from the number of days of hospitalization due to a fracture and the nursing care fee (days / person). The analysis unit 212 obtains the number of days of hospitalization due to a fracture hd and the nursing care fee cf by having the business operator input them through the input unit 35. The analysis unit 212 calculates and outputs the cost c1 associated with the fall by hd×cf. In the example shown in the figure, the cost c1 associated with the fall is calculated as c1=51×9,000=459,000 (yen). In addition to the amount of nursing care fee, the cost effect of avoiding litigation, etc. can also be calculated.

[0106] Moreover, Fig. 20 is a schematic diagram illustrating the simulation result of the additional amount. The analysis unit 212 acquires the additional amount by having the business operator input it through the input unit 35. The analysis unit 212 calculates the ADL maintenance etc. additional amount (II) based on the additional amount. The figure illustrates an example in which the ADL maintenance etc. additional amount (II) is calculated as 115,200. Note that the specific calculation method of the ADL maintenance etc. additional amount (II) is generally known, so a detailed explanation will be omitted.

[0107] Fig. 21 is a schematic diagram illustrating the simulation results of the reducible nursing care time and labor costs. The analysis unit 212 acquires the reducible nursing care time (person-months) by having the business operator input it via the input unit 35. The analysis unit 212 calculates the reducible annual labor costs based on the reducible nursing care time. The figure illustrates an example in which the reducible annual labor costs are calculated to be 5,376,000 (yen).

[0108] According to the information processing device, the information processing method, and the information processing program of the present embodiment described above, the following effects are achieved.

[0109] Candidates for facilities where the value of nursing care services or products can be promoted are presented. This allows service or product providers to effectively promote the use of their services or products to facilities. As a result, information about nursing care services and products is more easily delivered to elderly people and their families. In addition, service or product providers can search for facilities that are suitable for their company's services or products. As a result, service or product providers can expect to see an increase in the success rate of their services or products when selling to facilities. In addition, by introducing the service or product to a facility, issues that the facility has are resolved or improved, making it possible to provide high-quality nursing care services to elderly people who use the facility.

[0110] In addition, in this embodiment, by utilizing LIFE data (elderly life log), the characteristics of each facility and its residents (elderly) can be visualized. For example, when facilities are analyzed using diaper users as the analysis axis, facilities with a high amount of diaper use can be extracted. When facilities are analyzed using fall risk as the analysis axis, facilities with a high fall risk can be extracted. Furthermore, when facilities are analyzed using the amount of assistance as the analysis axis, facilities with a high amount of assistance and a heavy burden on staff can be extracted. In this way, by analyzing facilities using various analysis axes, the characteristics of the facility and its residents can be grasped.

[0111] The system configuration 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.

[0112] For example, in the above example, the server 20 of the monitoring system 1 functions as an information processing device, but the present invention is not limited to such a case. The information processing device may be implemented in a personal computer, server, cloud, or the like independent of the monitoring system 1, and may be configured to acquire information about the nursing care facility from devices used in the nursing care facility via a network.

[0113] In addition, the above-mentioned flowchart may include steps other than those shown in the flowchart, or may not include some steps. The order of the steps is not limited to the above-mentioned embodiment. Furthermore, each step may be combined with other steps and executed as one step, may be included in other steps and executed, or may be divided into multiple steps and executed.

[0114] In addition, the means and methods for performing various processes in the above-mentioned embodiments can be realized by either a dedicated hardware circuit or a programmed computer. The above-mentioned program may be provided by a computer-readable recording medium such as a USB memory or a DVD-ROM, or may be provided online via a network such as the Internet. In this case, the program recorded in the computer-readable recording medium is usually transferred to and stored in a storage device such as a hard disk. The above-mentioned program may be provided as a standalone application software, or may be incorporated into the software of the device as a function. [Explanation of symbols]

[0115] 1. Monitoring system, 10 detection unit, 11 Control section, 12 Communications Department, 13 storage section, 14 cameras, 15 Body movement sensor, 16 Care Call Department, 20 servers, 21 Control section, 211 Acquisition Department; 212 Analysis Department, 213 Extraction part, 214 output section, 22 Communications Department, 23 storage section, 30 fixed terminals, 31 Control section, 32 Communications Department, 33 Memory section, 34 Display section, 35 Input section, 40 mobile terminals, 41 control section, 42 Radio communication section, 43 Memory section, 44 Input display unit, 45 Audio input / output unit, 46 Position detection unit, 70 care staff, 80 Care recipients, 90 beds.

Claims

1. An acquisition unit that acquires information about nursing care facilities; an analysis unit that analyzes nursing care facilities that can promote the value of nursing care-related services or products based on the information about the nursing care facilities; An extraction unit that extracts candidates for nursing care facilities based on the analysis result of the nursing care facilities by the analysis unit; An information processing device comprising: an output unit that outputs the candidate nursing care facilities extracted by the extraction unit.

2. The analysis unit further analyzes targets to which the value of a service or product related to nursing care can be promoted based on the information about the nursing care facility, The extraction unit extracts candidate subjects based on a result of the analysis of the subjects by the analysis unit, The information processing device according to claim 1 , wherein the output unit outputs the candidate subjects extracted by the extraction unit.

3. The analysis unit calculates an introduction effect of the service or product, The information processing device according to claim 1 , wherein the output unit outputs the introduction effect.

4. The analysis unit analyzes issues at the candidate nursing care facilities, The information processing device according to claim 3 , wherein the output unit outputs a result of the analysis of the assignment performed by the analysis unit.

5. The information processing device according to claim 4 , wherein the analysis unit simulates, as the introduction effect, an additional amount obtained by solving the problem through the introduction of the service or product.

6. The information processing device according to claim 4 , wherein the analysis unit simulates, as the introduction effect, a cost reduction due to the solution of the problem by introducing the service or product.

7. The analysis unit further analyzes other nursing care facilities for comparison with the nursing care facility candidate, The extraction unit extracts other nursing care facilities based on an analysis result of the other nursing care facilities by the analysis unit, The information processing device according to claim 1 , wherein the output unit outputs a situation of the candidate nursing care facility extracted by the extraction unit in a manner that allows comparison between the situation of the other nursing care facilities and the candidate nursing care facility.

8. The information processing device according to claim 1 , wherein the information about the nursing care facility includes at least one of a life log of a resident of the nursing care facility, staff information, and facility information.

9. The information processing device according to claim 2 , wherein the target person includes at least one of a resident of a nursing care facility and a family member of the resident.

10. (a) acquiring information about a nursing care facility; (b) analyzing a nursing facility for which a value of a nursing service or product can be promoted based on the information about the nursing facility; A step (c) of extracting a candidate nursing care facility based on the analysis result of the nursing care facility in the step (b); An information processing method comprising: a step (d) of outputting the candidate nursing care facilities extracted in the step (c).

11. (a) obtaining information about a nursing care facility; (b) analyzing nursing care facilities that can provide value promotion for nursing care services or products based on the information about the nursing care facilities; A step (c) of extracting candidates for nursing care facilities based on the analysis results of the nursing care facilities in the step (b); and (d) outputting the candidate nursing care facilities extracted in the step (c).

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