Information processing device, information processing method, and information processing program
The information processing device addresses care plan inconsistencies by using sensor data and care records to standardize care staff notifications, improving care quality and reducing staff workload.
Patent Information
- Application Number
- JP2023120900
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-07-25
- Publication Date
- 2025-02-06
AI Technical Summary
Existing care plans in facilities are often based on subjective information from care staff, leading to variations in care quality, potential hindrance of care recipient independence, and increased workload, and may exacerbate conditions like dementia.
An information processing device that uses objective data from monitoring sensors and care records to determine and notify care staff of necessary actions, ensuring consistent care quality by integrating evaluation indicators for daily activities, motivation, and dementia levels.
This approach stabilizes care recipient conditions, reduces emergency responses, and decreases care staff workload by providing standardized and sufficient care based on objective data.
Smart Images
Figure 2025017718000001_ABST
Abstract
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] Typically, care for care recipients in facilities is provided based on a care plan. Care plans are created based on care records that record the daily care given to the care recipient, and on discussions held at conferences by care staff and other related parties. However, much of the information recorded in the care records and the information discussed at conferences is collected and shared subjectively by each care staff member, and may contain information that is not factual.
[0004] If a care plan is created based on false information, it will be difficult to provide sufficient care to the care recipient based on the plan. Furthermore, if care is provided to the care recipient based on such a care plan, there is a possibility that the care recipient's independence will be hindered. Furthermore, it may cause dementia-related symptoms in the care recipient. As a result, it may also be a factor that increases the workload of care staff.
[0005] Furthermore, to provide effective care, daily care should be provided based on a care plan, but in some facilities, it is common for care staff to provide care based on their own judgment. In such cases, the care content is determined and implemented based on the intuition and experience of each care staff member, so the care plan is merely a formality and does not function. As a result, there is a problem of inconsistency in the quality of care provided by each care staff member.
[0006] In relation to this, Patent Document 1 below discloses an information processing device that aims to prevent or reduce inconsistencies in care among care staff by notifying each care recipient of the support they need to respond to an event.
[0007] Meanwhile, 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. [Prior art documents] [Patent documents]
[0008] [Patent Document 1] Patent Publication No. 2021-19703 Summary of the Invention [Problem to be solved by the invention]
[0009] In the technology of the above-mentioned Patent Document 1, the notification contents can be determined mainly based on the care records. As described above, the care records can include information that is collected and shared based on the subjective judgment of the care staff.
[0010] The present invention has been made in consideration of the above-mentioned circumstances, and aims to provide an information processing device, an information processing method, and an information processing program that can prevent or reduce variations in the quality of care provided by each care staff member by determining the notification content based on objective data. [Means for solving the problem]
[0011] The above-mentioned object of the present invention is achieved by the following means.
[0012] (1) An information processing device comprising: an index acquisition unit that acquires evaluation indexes including one or more of a first evaluation index related to the daily living activities of a person requiring care, a second evaluation index related to motivation for daily living activities, and a third evaluation index related to the degree of dementia; a data acquisition unit that acquires detection data from a monitoring sensor that monitors the person requiring care and / or data from the care records of the person requiring care; a decision unit that decides what to notify a caregiver who cares for the person requiring care based on the evaluation indexes and the detection data and / or the data from the care records; and a notification unit that notifies the content decided by the decision unit.
[0013] (2) The information processing device described in (1) above, wherein the monitoring sensor is a sensor that detects the movement and / or condition of the person in need of care in a nursing care facility, with a specified area in the person's room as an observation area.
[0014] (3) The information processing device described in (1) or (2) above, wherein the decision unit determines whether or not care is needed for the person in need of care, and if it is determined that care is needed for the person in need of care, decides that the content to be notified to the caregiver is that care is needed for the person in need of care, and if it is determined that care is not needed for the person in need of care, decides that the content to be notified to the caregiver is that care is not needed for the person in need of care.
[0015] (4) The information processing device described in (3) above, wherein the decision unit determines whether or not care is required for the person requiring care based on the evaluation index and the movement and / or state of the person requiring care.
[0016] (5) The information processing device described in (1) or (2) above, wherein the decision unit decides that the content to be notified to the caregiver is to encourage the activity of the person requiring care when the activity amount of the person requiring care falls below a predetermined value.
[0017] (6) The information processing device described in (5) above, further comprising: a reception unit that receives information regarding whether or not the caregiver encouraged the person in need of care to be active after notification by the notification unit, and whether or not the person in need of care actually engaged in activity when the caregiver encouraged the person in need of care to be active; and a display unit that displays a change in the amount of activity of the person in need of care due to the caregiver encouraging the person in need of care to be active.
[0018] (7) The information processing device described in (1) or (2) above, wherein the decision unit determines whether the person in need of care is likely to refuse care, and if it is determined that the person in need of care is likely to refuse care, decides that the content to be notified to the caregiver is cases in the past when assistance was carried out smoothly from the data of the care records.
[0019] (8) An information processing method comprising: a step (a) of acquiring evaluation indexes including one or more of a first evaluation index related to an activity of daily living of a person requiring care, a second evaluation index related to motivation for an activity of daily living, and a third evaluation index related to the degree of dementia; a step (b) of acquiring detection data of a monitoring sensor monitoring the person requiring care and / or data of the care record of the person requiring care; a step (c) of determining content to be notified to a caregiver caring for the person requiring care based on the evaluation index and the detection data and / or the data of the care record; and a step (d) of notifying the content determined in step (c).
[0020] (9) An information processing program for causing a computer to execute a process including the steps of: (a) acquiring evaluation indexes including one or more of a first evaluation index related to the daily living activities of a person requiring care, a second evaluation index related to motivation for daily living activities, and a third evaluation index related to the degree of dementia; (b) acquiring detection data from a monitoring sensor monitoring the person requiring care and / or data from the care records of the person requiring care; (c) determining content to be notified to a caregiver caring for the person requiring care based on the evaluation indexes and the detection data and / or the data from the care records; and (d) notifying the content determined in (c). Effect of the Invention
[0021] According to the present invention, the contents of the notification to the care staff are determined based on the objective data of the care recipient, so that it is possible to prevent or suppress variation in the quality of care provided by each care staff. Therefore, it is possible to provide the care recipient with the optimal care that is necessary and sufficient. As a result, the condition of the care recipient improves and stabilizes, and the number of emergency responses and the like is reduced, thereby reducing the workload of the care staff. [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 arranged. [Diagram 3] 2 is a block diagram showing a hardware configuration of a detection unit shown in FIG. 1. [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] 4 is a flowchart illustrating an information processing method according to the first embodiment. [Figure 10] FIG. 11 is a block diagram illustrating the functions of a control unit in the second embodiment. [Figure 11] 10 is a flowchart illustrating a processing procedure of an information processing method according to a second embodiment. [Figure 12] 13 is a flowchart illustrating a processing procedure of an information processing method according to a third embodiment. 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 repeater 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.
[0025] The monitoring system 1 is suitably installed in buildings such as hospitals and elderly welfare facilities (nursing 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 plurality of rooms and a care station in which a plurality of care recipients 80 each reside. Hereinafter, the rooms in which the care recipients 80 each 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 for a care recipient 80, in which the detection unit 10 shown in Fig. 1 is arranged. Fig. 3 is a block diagram showing the hardware configuration of the detection unit 10 shown in Fig. 1. The detection unit 10 constitutes a monitoring sensor.
[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) associated with the breathing movement of the care recipient 80. Abnormal micro-body movement is detected by detecting a disruption in the period of chest body movement or an amplitude of chest body movement below a preset threshold.
[0035] The care call unit 16 includes, for example, a push button switch. When the care recipient 80 presses the switch, the care call unit 16 detects a care call. The care call unit 16 may detect a care call based on the voice of the care recipient 80 acquired by 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 can 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 set in advance as a coordinate area in the captured image.
[0038] The detection results by the detection unit 10 (for example, the captured image, and the behavior of the care recipient 80 based on the captured image, such as entering or leaving bed) are transmitted to the server 20 and stored in the storage unit 23 (see FIG. 4). In addition, information on 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.
[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 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.
[0041] 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.
[0042] 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 accumulates detection data by a monitoring sensor for each care recipient 80 on a daily basis. The storage unit 23 also stores a calculation result calculated based on the detection data.
[0043] <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.
[0044] 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 the notification contents notified from the server 20. The input unit 35 is configured with a keyboard or a touch panel and accepts operational input of various information by an administrator or the like.
[0045] 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.
[0046] 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.
[0047] 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.
[0048] 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.
[0049] 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.
[0050] <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.
[0051] 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).
[0052] 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.
[0053] 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.
[0054] 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.
[0055] The position detection unit 46 is a GPS module or the like, and detects the position of the mobile terminal 40. 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.
[0056] <Functions of the control unit 21 and information processing method> Fig. 7 is a functional block diagram of control unit 21 shown in Fig. 4, and Fig. 8 is a flowchart for explaining the processing procedure of an information processing method according to an embodiment. As shown in Fig. 7, control unit 21 functions as index acquisition unit 211, data acquisition unit 212, calculation unit 213, determination unit 214, and notification unit 215. Each function of control unit 21 shown in Fig. 7 and each process in the flowchart shown in Fig. 8 are realized by the CPU of control unit 21 executing an information processing program.
[0057] As shown in FIG. 8, the index acquisition unit 211 acquires an evaluation index (step S101). The index acquisition unit 211 acquires evaluation indexes including at least one of a first evaluation index related to the daily living activities of the care recipient, a second evaluation index related to the willingness of daily living activities, and a third evaluation index related to the degree of dementia. For example, the ADL (Activities of Daily Living) of LIFE can be used as the first evaluation index. The ADL refers to basic actions required for daily life. Specifically, it includes activities of getting up and down, transferring, moving, eating, dressing, excretion, bathing, grooming, etc. For example, the VI (Vitality Index) of LIFE can be used as the second evaluation index. The score range of VI is 0 to 10 points, and the higher the score, the higher the willingness of the elderly person or the person requiring care. For example, the DBD (Dementia Behavior Disturbance Scale) 13 can be used as the third evaluation index. The DBD 13 expresses the characteristics of dementia in 13 items. The DBD13 evaluates the care recipient80 based on 13 items, such as whether they can communicate and whether they use abusive language or violence.
[0058] LIFE is a scientific nursing care information system promoted by the Ministry of Health, Labor and Welfare. To utilize LIFE, data (called LIFE data) must be entered into the Ministry of Health, Labor and Welfare's LIFE system. LIFE data has many input items (LIFE items) related to, for example, medical history, ADL, nutrition, etc.
[0059] In this specification, for convenience of explanation, the LIFE items are described as consisting of major items and minor items. The major items include, for example, medical history, ADL, nutrition, nutritional supplementation method, oral health condition, onset and history of aspiration pneumonia, diagnosis of dementia, DBD13, and Vitality Index. The minor items include medical history, diabetes, heart disease, hypertension, cerebrovascular disease, edema, constipation, Parkinson's disease, respiratory disease, fracture, rheumatism, and depression. The ADL items include eating, transferring between chair and bed 90, grooming, toileting, bathing, walking on flat ground, climbing stairs, dressing, bowel control, and excretion control. The nutrition items include height, weight, and risk level of malnutrition. The nutritional supplementation methods include enteral nutrition, oral inoculation, need for dysphagia-adjusted foods, food form, viscosity, food intake, nutritional requirement, serum albumin value, and bedsores. Oral health status includes "dirty teeth / dentures," "few teeth but no dentures," and "easily choking." Onset of aspiration pneumonia includes onset and history of aspiration pneumonia. Dementia diagnosis includes presence or absence of dementia and dementia diagnosis. DBD13 includes "hearing the same thing over and over again," "often losing, misplacing, or hiding things," "showing no interest in everyday things," and "getting up in the middle of the night for no special reason." DBD13 includes "sleeping all day," "walking around recklessly," "repeating the same actions over and over," "swearing foul language," "wearing inappropriate clothing that is out of place or out of season," and "refusing to be cared for." Vitality Index includes waking up, communication, eating, defecation, and rehabilitation activities.
[0060] Next, the data acquiring unit 212 acquires data (step S102). The data acquiring unit 212 acquires detection data of a monitoring sensor that monitors the care recipient 80, and / or care record data of the care recipient 80. The monitoring sensor is a sensor that detects the movement and / or state of the care recipient 80 in an observation area, which is a predetermined area in the room of the care recipient 80 in the facility. The care record is a record of daily care for each care recipient (nursing record).
[0061] Next, the determination unit 214 determines the notification content to be notified to the caregiver (step S103). The determination unit 214 determines the notification content to be notified to the mobile terminal 40 of the care staff 70 who is caring for the care recipient 80 based on at least one of the evaluation index, the detection data of the monitoring sensor, and the care record of the care recipient 80.
[0062] For example, the decision unit 214 determines whether or not care is required for the care recipient 80, and when it is determined that care is required for the care recipient 80, it decides that the notification content is that care is required for the care recipient 80. On the other hand, when it is determined that care is not required for the care recipient 80, it decides that the notification content is that care is not required for the care recipient 80.
[0063] For example, the determination unit 214 may determine whether or not care is required for the care recipient 80 based on the evaluation index and the movement and / or state of the care recipient. A specific method for determining the notification content will be described later.
[0064] The notification unit 215 notifies the notification content determined by the determination unit 214 (step S104). The notification unit 215 notifies, for example, the mobile terminal 40 of the care staff 70 of the notification content. The control unit 41 causes the display of the input display unit 44 to display the notification content. The notification unit 215 may also be configured to notify the fixed terminal 30 of the notification content.
[0065] In this way, in the process of the flowchart shown in Fig. 8, the control unit 21 acquires the evaluation index and the detection data of the monitoring sensor, and determines the notification content to be notified to the mobile terminal 40 of the care staff 70. Then, the control unit 21 notifies the determined notification content. Hereinafter, an embodiment in which the information processing method shown in Fig. 8 is applied will be described.
[0066] Example 1 In the first embodiment, a notification is given in consideration of the possibility that lack of sleep of the care recipient 80 may lead to the risk of the care recipient 80 tripping or falling. In this embodiment, for example, if the sleep time of the care recipient 80 on the previous night falls below the average sleep time of the care recipient 80 in a predetermined period, a notification is sent to the mobile terminal 40 of the care staff 70 that the care recipient 80 needs to avoid the risk of tripping or falling because the level of wakefulness is low. The predetermined period may be, for example, two weeks. In addition to the notification of risk avoidance, a notification of the need for assistance in standing up may also be sent.
[0067] Hereinafter, an information processing method in the first embodiment will be described with reference to Fig. 9. Fig. 9 is a flowchart for explaining the information processing method in the first embodiment. First, the index acquiring unit 211 acquires an ADL, a VI, and a DBD13 (step S201). The index acquiring unit 211 acquires an ADL as a first evaluation index, acquires a VI as a second evaluation index, and acquires a DBD13 as a third evaluation index.
[0068] Next, the data acquisition unit 212 acquires detection data from the monitoring sensor (step S202). The detection data is stored in the memory unit 23. The sleeping hours of the care recipient 80 can be calculated based on the detection data from the monitoring sensor. The calculation unit 213 can calculate the sleeping hours of the care recipient 80 based on the time the care recipient 80 is in bed 90, for example. In addition, the calculation unit 213 calculates the average value of the sleeping hours of the care recipient 80 over two weeks based on the detection data for the care recipient 80 stored in the memory unit 23 for two weeks. The calculated average value is stored in the memory unit 23.
[0069] Next, the determination unit 214 determines the notification content to be notified to the mobile terminal 40 of the care staff 70 (step S203). The calculation unit 213 compares the sleep time of the care recipient 80 on the previous night with the above average value, and calculates the total value of the evaluation index when the sleep time of the previous night is below the average value. The total value of the evaluation index is specifically a score obtained by adding up the scores of ADL, VI, and DBD13. The determination unit 214 judges whether the total value of the evaluation index meets a predetermined score. When the total value does not meet the predetermined score, the determination unit 214 judges that the care recipient 80 is at risk of falling or dropping, and determines that care is required for the care recipient 80. The determination unit 214 determines that the notification content to be notified to the mobile terminal 40 of the care staff 70 that care is required for the care recipient 80. For example, the determination unit 214 determines that the notification content including the fact that the care recipient 80 is at risk of falling or dropping is to be notified to the mobile terminal 40 of the care staff 70.
[0070] On the other hand, when the predetermined score is satisfied, the decision unit 214 determines that the care recipient 80 is not at risk of falling or tripping, and determines that care is not required for the care recipient 80. The decision unit 214 determines the notification content including the fact that care is not required for the care recipient 80 as the content to be notified to the mobile terminal 40 of the care staff 70.
[0071] On the other hand, it is not necessarily a bad thing for the care recipient 80's sleep hours to fall below the average. For example, if the care recipient 80 is bedridden, the average sleep hours are usually high. If the care recipient 80 recovers and is no longer bedridden, the sleep hours may fall below the previous average. In such a case, although the sleep hours have decreased, there is no risk of falling or tripping, but rather the amount of activity has increased and the care recipient 80 is showing signs of recovery. For a care recipient 80 who is motivated to be active, it is preferable to inform the care staff 70 of the assistance content that does not deprive them of what they can do (promoting independence).
[0072] The calculation unit 213 calculates the activity time of the care recipient 80 over a predetermined period based on the detection data of the monitoring sensor for a predetermined period (e.g., two weeks) stored in the storage unit 23. The calculation unit 213 may determine, for example, the time that the care recipient 80 is out of bed 90 (time out of bed) as the activity time. The decision unit 214 judges whether or not the activity time of the care recipient 80 over a predetermined period calculated by the calculation unit 213 is on the rise. If the activity time is on the rise, the decision unit 214 decides that the notification content to be sent to the mobile terminal 40 of the care staff 70 includes information that the condition of the care recipient 80 is improving and that excessive care is not required (information to encourage the care recipient 80 to become independent).
[0073] Next, the notification unit 215 notifies the determined notification content (step 204). The notification unit 215 notifies the mobile terminal 40 of the care staff 70 of the notification content determined by the determination unit 214, for example.
[0074] Example 2 In the second embodiment, a notification is given in consideration of a lack of the amount of activity (activity time) of the care recipient 80. In this embodiment, for example, for the activity items in the LIFE data, the number of activities per week is determined to be less than a predetermined number, thereby determining the lack of activity time of the care recipient 80. Examples of activity items in the LIFE data include hobbies, activities, and role activities. When the activity time of the care recipient 80 is insufficient, the determination unit 214 determines the content of the notification to be notified to the mobile terminal 40 of the care staff 70 to encourage the activity of the care recipient 80 in order to increase the activity time. The notification unit 215 notifies the care staff 70 when the daytime wakefulness level is high or at the beginning of the day. The content of the notification to encourage the activity of the care recipient 80 can be, for example, calendar information describing the date and time of an event and the content of the event.
[0075] The system may also be configured to notify the care recipient 80 of what events he or she has frequently participated in in the past (i.e., the preferences of the care recipient 80). Furthermore, information on the presence or absence of a care staff member 70 action that encourages an increase in the amount of activity is acquired, and a monitoring sensor is used to measure whether the amount of activity of the care recipient 80 (e.g., time spent out of bed) has actually increased. This allows the care staff member 70 to know whether the amount of activity has increased as a result of the action.
[0076] Fig. 10 is a block diagram illustrating functions of the control unit 21 in the second embodiment. In the second embodiment, the control unit 21 functions as a determination unit 216, a reception unit 217, and a display unit 218 in addition to the above-mentioned functions. Fig. 11 is a flowchart for explaining a processing procedure of the information processing method in the second embodiment.
[0077] First, the index acquisition unit 211 acquires information on the activity of the LIFE data (hereinafter, simply referred to as "information on the activity") as the second evaluation index (step S301). The information on the activity may be, for example, a hobby, an activity, a role activity, etc.
[0078] Next, the determination unit 216 determines whether the amount of activity of the care recipient 80 is insufficient (step S302). The calculation unit 213 calculates the number of times of activity of the care recipient 80 based on the information on the activity acquired by the index acquisition unit 211. The number of times of activity may be, for example, the number of times of activity per week. If the number of times of activity is less than a predetermined number set in advance, the determination unit 216 determines that the amount of activity of the care recipient 80 is insufficient, and if the number of times of activity is equal to or greater than a predetermined value, the determination unit 216 determines that the amount of activity of the care recipient 80 is not insufficient.
[0079] When the determination unit 216 determines that the amount of activity of the care recipient 80 is not insufficient (step S302: NO), the process ends (END). On the other hand, when the determination unit 216 determines that the amount of activity of the care recipient 80 is insufficient (step S302: YES), the data acquisition unit 212 acquires the detection data of the monitoring sensor from the storage unit 23 (step S303).
[0080] Next, the calculation unit 213 calculates the time periods during the day when the care recipient 80 is highly awake (hereinafter referred to as "awake time periods") (step S304). The calculation unit 213 obtains the time periods during the day when the care recipient 80 gets out of bed (hereinafter referred to as "bed getting out time periods") from the detection data of the monitoring sensor, and calculates the wakefulness time periods based on the bed getting out time periods. The calculated wakefulness time periods are stored in the storage unit 23. The wakefulness time periods can be time periods that are obtained by excluding from the bed getting out time periods a time period when the care recipient 80 is unlikely to participate in an event, such as lunch time or a time period immediately after lunch.
[0081] Next, the determination unit 214 determines the notification content to be notified to the mobile terminal 40 of the care staff 70 (step S305). The determination unit 214 determines the notification content encouraging participation in an event as the notification content to be notified to the mobile terminal 40 of the care staff 70. For example, the determination unit 214 may use pre-registered event information to select an event taking place during the waking hours, and determine information about the event as the notification content. The time periods during which events are held are pre-registered in the storage unit 23.
[0082] Next, the notification unit 215 notifies the determined notification content (step 306). The notification unit 215 notifies the mobile terminal 40 of the care staff 70 of the notification content, for example.
[0083] 11, the control unit 21 acquires information about activity from the LIFE data and determines whether the amount of activity of the care recipient 80 is insufficient. If the amount of activity of the care recipient 80 is insufficient, the control unit 21 then acquires detection data from the monitoring sensor and calculates the wakefulness time period of the care recipient 80. Next, the control unit 21 determines the notification content to be notified to the mobile terminal 40 of the care staff 70 based on the wakefulness time period, and notifies the determined notification content.
[0084] The control unit 21 may also be configured to receive information on whether the care staff 70 has encouraged the care recipient 80 to be active, and whether the care recipient 80 has actually been active when the care staff 70 has encouraged the care recipient 80 to be active. For example, the control unit 21 functions as a reception unit 217, displays a message asking whether the care staff 70 has encouraged the care recipient 80 to be active on the display of the input display unit 44 of the mobile terminal 40, and receives a response from the care staff 70. Furthermore, the reception unit 217 displays a message asking whether the care recipient 80 has actually been active when the care staff 70 has encouraged the care recipient 80 to be active on the display, and receives a response from the care staff 70. The information received by the reception unit 217 is stored in the storage unit 23. The control unit 21 functions as a display unit 218, and displays the above information stored in the storage unit 23 on the display of the input display unit 44 or the display of the display unit 34 of the fixed terminal 30, in response to an instruction from the administrator or the care staff 70. By visualizing the above information, it is possible to verify whether the amount of activity of the care recipient 80 has increased as a result of the care staff 70 encouraging activity.
[0085] Example 3 In the third embodiment, notification is given on the assumption that the care recipient 80 will refuse care due to cognitive symptoms. In this embodiment, when the care recipient 80 has difficulty communicating due to cognitive symptoms and will refuse care, similar conditions or situations are notified to the mobile terminal 40 of the care staff 70 based on past cases in which care was provided relatively smoothly. The similar conditions or situations can be, for example, the time of day, frequency, or method of calling out to the care recipient 80, the gender of the care staff, etc.
[0086] Symptoms of dementia may appear or suddenly worsen depending on physical condition. In addition, when moving into a new facility or being admitted or discharged from a hospital, the symptoms of dementia may change if the patient is unable to adapt to changes in environment or if the patient's physical condition deteriorates. In the third embodiment, for example, it is assumed that a notification is sent to the mobile terminal 40 of the care staff 70 when the patient becomes confused in the dark and refuses care during nighttime excretion assistance.
[0087] FIG. 12 is a flowchart illustrating a processing procedure of the information processing method according to the third embodiment.
[0088] First, the index acquiring unit 211 acquires the DBD13 as the third evaluation index (step S401).
[0089] Next, the determination unit 216 determines whether the care recipient 80 is a person who is likely to cause care refusal (step S402). If the value of the third evaluation index is equal to or greater than a predetermined threshold, the determination unit 216 determines that the care recipient 80 is a person who is likely to cause care refusal, and if the value is less than the threshold, the determination unit 216 determines that the care recipient 80 is not a person who is likely to cause care refusal. If the care recipient 80 is determined to be not a person who is likely to cause care refusal (step S402: NO), the determination unit 216 ends the process (END).
[0090] On the other hand, if the care recipient 80 is determined to be a person who is likely to cause care refusal (step S402: YES), the data acquisition unit 212 acquires a time period in which care refusal occurred in the past (step S403). The data acquisition unit 212 acquires, for example, a time period in which care refusal occurred in the past from the care record.
[0091] Next, the determination unit 216 estimates a time period in which care refusal is likely to occur (step S404). The determination unit 216 determines a time period in which care refusal has occurred in the past as a time period in which care refusal is likely to occur.
[0092] Next, the determination unit 214 determines the content to be notified to the mobile terminal 40 of the care staff 70 (step S405). The determination unit 214 determines the method of responding to care approval / disapproval as the notification content to be notified to the mobile terminal 40 of the care staff 70. The method of responding to care approval / disapproval can be determined, for example, by acquiring from the care records a case in which assistance was provided relatively smoothly in the past for the same care recipient 80. The method of responding to care approval / disapproval may also be determined by acquiring from the care records a case for another care recipient of the same type as the care recipient 80. A care recipient of the same type is, for example, a care recipient who has received the same type of evaluation in DBD13.
[0093] Next, the notification unit 215 notifies the determined notification content (step 406). The notification unit 215 notifies the mobile terminal 40 of the care staff 70 of the notification content, for example.
[0094] 12, the control unit 21 acquires the DBD 13 of the care recipient 80 as an evaluation index, and judges whether or not the care recipient 80 is prone to care refusal. If the care recipient 80 is prone to care refusal, the control unit 21 estimates time periods when care refusal occurred in the past as time periods when care refusal is likely to occur, and determines cases in the past when assistance was provided relatively smoothly as notification content to be notified to the care staff 70. The control unit 21 then notifies the mobile terminal 40 of the care staff 70 of the determined notification content.
[0095] 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.
[0096] Since the contents of the notification to the care staff 70 are determined based on objective data of the care recipient 80, it is possible to prevent or suppress variation in the quality of care provided by each care staff 70. Therefore, it is possible to provide the care recipient with the optimal care that is sufficient and necessary. As a result, the condition of the care recipient improves and stabilizes, and the number of emergency responses and the like is reduced, thereby reducing the workload of the care staff.
[0097] 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.
[0098] 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 configured to obtain evaluation indexes and care record data via a network, and to obtain detection data from the monitoring system 1.
[0099] 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.
[0100] 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]
[0101] 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 Evaluation Index Acquisition Department, 212 Data acquisition section, 213 Calculation unit, 214 Decision Section, 215 Notification Department; 216 Judgment Department, 217 Reception Department, 218 Display 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 index acquisition unit that acquires evaluation indexes including at least one of a first evaluation index related to the activities of daily living of the care recipient, a second evaluation index related to the willingness of the activities of daily living, and a third evaluation index related to the degree of dementia; a data acquisition unit that acquires detection data of a monitoring sensor that monitors the care-requiring person and / or data of a care record of the care-requiring person; A decision unit that decides the content to be notified to a caregiver who cares for the care recipient based on the evaluation index and the detection data and / or the care record data; a notification unit that notifies the content determined by the determination unit; An information processing device comprising:
2. The information processing device according to claim 1 , wherein the monitoring sensor is a sensor that detects the movement and / or state of the person in need of care in a nursing care facility, with a predetermined area in the person's room as an observation area.
3. The information processing device of claim 1 or 2, wherein the decision unit determines whether or not care is needed for the person requiring care, and if it is determined that care is needed for the person requiring care, decides that the content to be notified to the caregiver is that care is needed for the person requiring care, and if it is determined that care is not needed for the person requiring care, decides that the content to be notified to the caregiver is that care is not needed for the person requiring care.
4. The information processing device according to claim 3 , wherein the decision unit determines whether or not the care-requiring person requires care based on the evaluation index and a movement and / or a state of the care-requiring person.
5. The information processing device according to claim 1 , wherein the decision unit decides that the content to be notified to the caregiver is to encourage the care recipient to be active when an activity amount of the care recipient falls below a predetermined value.
6. a reception unit that receives information regarding whether or not the caregiver has encouraged the care-requiring person to be active after the notification by the notification unit, and whether or not the care-requiring person has actually engaged in an activity when the caregiver has encouraged the care-requiring person to be active; The information processing device according to claim 5 , further comprising: a display unit that displays a change in an amount of activity of the care-requiring person caused by the caregiver encouraging the care-requiring person to be active.
7. The information processing device described in claim 1 or 2, wherein the decision unit determines whether the person in need of care is likely to refuse care, and if it is determined that the person in need of care is likely to refuse care, decides that the content to be notified to the caregiver is examples of past cases where assistance was carried out smoothly from the data of the care record.
8. A step (a) of acquiring evaluation indexes including at least one of a first evaluation index related to the daily living activities of the care recipient, a second evaluation index related to the willingness to perform daily living activities, and a third evaluation index related to the degree of dementia; (b) acquiring detection data of a monitoring sensor that monitors the care recipient and / or data of a care record of the care recipient; (c) determining the content of a notification to be sent to a caregiver who cares for the person requiring care based on the evaluation index and the detection data and / or the care record data; a step (d) of notifying the content determined in the step (c); An information processing method comprising:
9. A step (a) of acquiring evaluation indexes including at least one of a first evaluation index related to the daily living activities of the care recipient, a second evaluation index related to the willingness to perform daily living activities, and a third evaluation index related to the degree of dementia; A step (b) of acquiring detection data of a monitoring sensor that monitors the care-requiring person and / or data of a care record of the care-requiring person; A step (c) of determining the content to be notified to a caregiver who cares for the care recipient based on the evaluation index and the detection data and / or the care record data; a step (d) of notifying the content determined in the step (c); An information processing program for causing a computer to execute processing including the above.
Citation Information
Patent Citations
Ultrasonic image diagnostic apparatus, fetal age setting method, and fetal age setting program
JP2021019703A