JPWO2019142430A1 - Care staff selection method and selection equipment - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a method for selecting a care staff who selects an appropriate care staff who cares for a care target person. A method of selecting a care staff includes a first acquisition step, a second acquisition step, and a selection step. In the first acquisition step, the care target person characteristic data, which is the data showing the characteristics of the care target person, is acquired. In the second acquisition step, care staff characteristic data, which is data indicating the characteristics of the care staff, is acquired. In the selection step, the care staff is selected based on the care target person characteristic data acquired in the first acquisition step and the care staff characteristic data acquired in the second acquisition step.

Description

The present invention relates to a method for selecting a care staff and a selection device.

In Japan, the longevity of life has become remarkable due to the improvement of living standards, the improvement of sanitary environment, and the improvement of medical standards due to the high economic growth after the war. As a result, coupled with the decline in the birth rate, the aging rate, which is the ratio of the population aged 65 and over to the total population, has become a super-aging society exceeding 21%. In such a super-aging society, the number of nursing subjects and long-term care subjects (hereinafter referred to as "care target persons") who require nursing or long-term care due to illness, injury, old age, etc. will increase.

Persons to be cared for are admitted to care facilities such as hospitals and welfare facilities for the elderly and receive care such as nursing and long-term care. At the care facility, the care recipient may be injured due to a fall from the bed or a fall while walking. In addition, if the care recipient is left in a fall or fall state for a long period of time, even greater problems may occur. For this reason, in the care facility, nurses, caregivers, etc. (hereinafter referred to as "care staff") regularly visit the care recipients to check the condition of the care recipients.

However, in the field of care such as nursing and long-term care, the number of care staff cannot keep up with the increasing number of care recipients, and a chronic labor shortage occurs. For this reason, in the field of care, not only young people but also middle-aged and elderly women are working as care staff.

Therefore, in recent years, in order to solve such a labor shortage, the development of a technique for monitoring the condition of the care recipient and notifying the care staff has been promoted. For example, Patent Document 1 describes a technique of detecting a patient's condition from an image captured by a camera and notifying a nurse's mobile terminal or the like in a predetermined case. In the technique described in Patent Document 1, the nurse who is free among the notified nurses responds to the patient.

Japanese Unexamined Patent Publication No. 2014-90913

However, in the technique described in Patent Document 1, the care staff who is available among the notified care staff takes care of the care target person, but in the field of care, it is excessive for the body of the care staff. There are many tasks that impose a burden. The care staff must provide various care such as transfer between the bed and the wheelchair, excretion care, bathing care, etc. while supporting or lifting the body of the care recipient, for example. For this reason, the care work has a problem that middle-aged and elderly women who work as care staff are likely to develop back pain and the like. In addition, if the care staff forcibly provides care, the care staff may overturn the care recipient, cause anxiety or discomfort to the care recipient, or reduce the work efficiency of the care staff. There is also.

The present invention has been made in view of the above circumstances, and an object of the present invention is to provide a method for selecting a care staff and a selection device for selecting an appropriate care staff who cares for a care target person.

The above object of the present invention is achieved by the following means.

(1) The first acquisition step of acquiring the care target person characteristic data, which is the data indicating the characteristics of the care target person, which is a method of selecting the care staff who cares for the care target person, and the characteristics of the care staff. The second acquisition step of acquiring the care staff characteristic data, which is the data to be shown, the care target person characteristic data acquired in the first acquisition step, and the care staff characteristic data acquired in the second acquisition step. A method comprising a selection step of selecting the care staff based on.

(2) Prior to the first acquisition step and the second acquisition step, a request determination step for determining whether or not the care target person has requested care is further included, and in the selection step, in the request determination step. The method according to (1) above, in which the care staff is selected when it is determined that the care target person has requested care.

(3) The care target person characteristic data includes at least one data of the height, weight and athletic ability of the care target person as data indicating the physical characteristics of the care target person, and the care staff characteristic data is The method according to (1) or (2) above, which includes at least one data of height and back muscle strength of the care staff as data showing physical characteristics of the care staff.

(4) The method according to (3) above, wherein the athletic ability data is data based on an evaluation of activities of daily living (ADL).

(5) The care target person characteristic data is updated periodically or at a timing when at least one of the height, the weight, and the athletic ability of the care target person is confirmed to change, and the care staff characteristic. The method according to (3) or (4) above, wherein the data is updated regularly or at the timing when at least one of the height and the back muscle strength of the care staff is confirmed to change.

(6) The care staff characteristic data includes data on the deemed back muscle strength, which is the back muscle strength of the care staff corrected by the auxiliary device worn by the care staff, and in the selection step, the deemed back muscle strength. The method according to any one of (3) to (5) above, wherein the care staff is selected based on the data of.

(7) The method according to any one of (1) to (6) above, wherein the care staff characteristic data includes data indicating at least one of the care technique of the care staff and the presence or absence of low back pain.

(8) Further including a notification step for notifying the care staff to urge the care of the care target person, and in the selection step, it is confirmed whether or not the care staff is free, and the hands are free. Among the above care staff, the care staff whose load received from the care target person is equal to or less than a predetermined threshold value is selected, and the notification is given to the selected care staff in the notification step (1). ) To the method according to any one of (7).

(9) In the selection step, when there are two or more of the care staff whose hands are free and whose load is equal to or less than the predetermined threshold value, priority is given to the care staff having the smaller load. The method according to (8) above, which is selected for.

(10) In the selection step, when the care staff whose hands are free does not have the care staff whose load is equal to or less than the predetermined threshold value, at least among the other care staff who are free. The method according to (8) or (9) above, wherein the two persons are selected in combination.

(11) Further includes a third acquisition step of acquiring care performance data, which is data indicating the care performance of the care target person performed by the care staff in the past, and is acquired in the first acquisition step in the selection step. The care staff is selected based on the care target person characteristic data obtained, the care staff characteristic data acquired in the second acquisition step, and the care performance data acquired in the third acquisition step. The method according to any one of (1) to (10) above.

(12) The method according to (11) above, wherein the care performance data includes data on the average time spent by the care staff in one care for the care target person in the past.

(13) In the selection step, the care target person characteristic data acquired in the first acquisition step and the fourth acquisition step for acquiring the data of the accumulated work amount of the care staff within a predetermined period are further included. The care staff is selected based on the care staff characteristic data acquired in the second acquisition step and the data of the integrated work amount of the care staff acquired in the fourth acquisition step (1). The method according to any one of (12).

(14) A device for selecting a care staff who cares for a care target person, the care target person characteristic data which is data showing the characteristics of the care target person and the care staff characteristic which is data showing the characteristics of the care staff. An apparatus having an acquisition unit for acquiring data, and a selection unit for selecting the care staff based on the care target person characteristic data acquired by the acquisition unit and the care staff characteristic data.

According to the present invention, the care staff is selected based on the care target person characteristic data and the care staff characteristic data. As a result, an appropriate care staff who cares for the care recipient is selected. Therefore, since it is not necessary to force the care staff to provide unreasonable care, the onset of low back pain of the care staff and the occurrence of accidents due to the fall of the care recipient can be suppressed. In addition, since it is not necessary to give anxiety and discomfort to the care recipient, the occurrence of complaints from the care recipient can be suppressed. Furthermore, since the appropriate care staff is selected, the work efficiency of the care staff can be improved, and the problem of labor shortage at the care site can be solved.

It is a figure which shows the structure of the care system which concerns on one Embodiment of this invention. It is a block diagram which shows the schematic structure of the detection device. It is a block diagram which shows the schematic structure of the management server apparatus. It is a block diagram which shows the schematic structure of the fixed terminal device. It is a block diagram which shows the schematic structure of the mobile terminal device. It is a block diagram which shows the functional structure of the control part of the management server apparatus. It is a figure for demonstrating the Barthel index. It is a flowchart which shows the processing procedure of the management server apparatus. It is a subroutine flowchart which shows an example of the procedure of a care staff selection process. It is a figure which shows an example of the map data of a care facility. It is a subroutine flowchart which shows another example of the procedure of a care staff selection process.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the description of the drawings, the same elements are designated by the same reference numerals, and duplicate description will be omitted. In addition, the dimensional ratios in the drawings are exaggerated for convenience of explanation and may differ from the actual ratios.

(Care system)
First, a care system (monitoring system) according to an embodiment of the present invention will be described.

FIG. 1 is a diagram showing a configuration of a care system according to an embodiment of the present invention.

As shown in FIG. 1, the care system 1 includes at least one detection device 10, a management server device 20, a fixed terminal device 30, and at least one mobile terminal device 40. These are connected to each other by wire or wirelessly via a network (network, communication line) 50 such as a LAN (Local Area Network), a telephone network, or a data communication network so as to be communicable with each other. The network 50 may include repeaters such as repeaters, bridges, routers or cross-connects that relay communication signals. In the example shown in FIG. 1, the detection device 10, the management server device 20, the fixed terminal device 30, and the mobile terminal device 40 are connected by a network 50 of a wireless LAN including an access point 60 (for example, a LAN according to the IEEE802.11 standard). , Connected to communicate with each other.

The care system 1 is arranged at an appropriate place according to the care target person. The care recipients are, for example, those who need nursing care due to illness or injury, those who need nursing care due to deterioration of physical ability due to old age, and those who live alone. In particular, from the viewpoint of enabling early detection and early coping, the care recipient is a person who needs to detect a predetermined inconvenient event such as an abnormal condition when the person occurs. Good. Therefore, the care system 1 is suitably arranged in buildings such as hospitals, welfare facilities for the elderly, and dwelling units, depending on the type of care recipient. In the example shown in FIG. 1, the care system 1 is arranged in a building of a facility having a plurality of rooms, such as a plurality of rooms in which a plurality of care recipients move in, and a care station (nurse station).

Each of the detection devices 10 is arranged in the living room of the care target person, and each of the mobile terminal devices 40 is carried by the care staff. Here, it is assumed that each of the care target person and the care staff is identified by the ID numbers (identification information) of A01 to A05 and B01 to B05, respectively. However, the arrangement and number of each configuration included in the care system 1 are not limited to the example shown in FIG. For example, the management server device 20 does not have to be located at the care station and may be an external server device connected to the network 50. Further, the fixed terminal device 30 may be omitted, and the management server device 20 or the mobile terminal device 40 may be responsible for the function.

Next, the details of each configuration will be described.

(Detection device)
FIG. 2 is a block diagram showing a schematic configuration of the detection device.

The detection device 10 includes a control unit 11, a storage unit 12, a communication unit 13, an image generation unit 14, a data processing unit 15, a care call input unit 16, and a sound input / output unit 17. Each configuration is communicably connected to each other by a bus 18. The detection device 10 takes an image of the care target person, generates an image, and determines whether or not the care target person has performed a predetermined action based on the image.

The control unit 11 is a CPU (Central Processing Unit), and executes control of each of the above units and various arithmetic processes according to a program.

The storage unit 12 includes a ROM (Read Only Memory) that stores various programs and various data in advance, a RAM (Random Access Memory) that temporarily stores programs and data as a work area, a hard disk that stores various programs and various data, and the like. Consists of.

The communication unit 13 is an interface circuit (for example, a LAN card or the like) for communicating with other devices such as the management server device 20, the fixed terminal device 30, and the mobile terminal device 40 via the network 50.

The image generation unit 14 includes an optical system such as a lens that forms an image of the light to be photographed, an image sensor that generates an image based on the light formed by the optical system, and the like, and images the care target person. A device that generates images (including still images and moving images). The image generation unit 14 is arranged above the ceiling or wall of the care target person's room, for example, and generates a bird's-eye view of the care target person's room as an image pickup target. The image generated by the image generation unit 14 is transmitted by the control unit 11 to the management server device 20 and the like via the communication unit 13 and the network 50.

The data processing unit 15 is a circuit that executes a process of determining whether or not the care target person has performed a predetermined action based on the image generated by the image generation unit 14. The data processing unit 15 determines, for example, getting up, getting out of bed, falling, falling, etc. of the care subject. Information indicating the determination result by the data processing unit 15 (hereinafter referred to as “determination result information”) is transmitted by the control unit 11 to the management server device 20 and the like via the communication unit 13 and the network 50.

The control unit 11 may function as the data processing unit 15 by reading the program and executing the processing. In this case, the data processing unit 15 may be omitted.

The care call input unit 16 is a switch circuit composed of a push button type switch or the like and accepting an input of a care call (nurse call) by a care target person. When the care call input unit 16 accepts the input of the care call, the information that the care call has been made is transmitted by the control unit 11 to the management server device 20 and the like via the communication unit 13 and the network 50.

The sound input / output unit 17 is a circuit provided with a microphone, a speaker, and the like to input / output sound. The sound input / output unit 17 enables voice input of the care target person and output of the care staff voice input to the mobile terminal device 40 or the like, thereby making a voice call between the care target person and the care staff. To enable.

The sound input / output unit 17 may function as the care call input unit 16, or may accept the input of the care call by the voice of the care target person. In this case, the care call input unit 16 may be omitted.

(Management server device)
FIG. 3 is a block diagram showing a schematic configuration of the management server device.

The management server device 20 as a care staff selection device includes a control unit 21, a storage unit 22 as a database, and a communication unit 23. Each configuration is communicably connected to each other by a bus 24. Since the control unit 21, the storage unit 22, and the communication unit 23 have the same functions as the configurations of the detection device 10, detailed description thereof will be omitted. The functional configuration of the control unit 21 will be described later. The management server device 20 can be configured by, for example, a computer having a communication function.

The management server device 20 receives determination result information, an image, information indicating that a care call has been made, and the like from the detection device 10, and notifies the fixed terminal device 30 and the mobile terminal device 40, which will be described later, in a predetermined case.

(Fixed terminal device)
FIG. 4 is a block diagram showing a schematic configuration of a fixed terminal device.

The fixed terminal device 30 includes a control unit 31, a storage unit 32, a communication unit 33, a display unit 34, an operation input unit 35, and a sound input / output unit 36. Each configuration is communicably connected to each other by a bus 37. Since the control unit 31, the storage unit 32, the communication unit 33, and the sound input / output unit 36 have the same functions as the configurations of the detection device 10, detailed description thereof will be omitted. The fixed terminal device 30 can be configured by, for example, a computer having a communication function.

The display unit 34 is composed of a liquid crystal display, a touch panel, and the like, and displays various information to the care staff. The display unit 34 displays, for example, the determination result information and the image of the care target person received from the management server device 20.

The operation input unit 35 is composed of a keyboard, a touch panel, and the like, and receives operation input of various information by the care staff. The operation input unit 35 receives, for example, input of various instructions and various data for the determination result information and the image of the care target person displayed on the display unit 34.

(Mobile terminal device)
FIG. 5 is a block diagram showing a schematic configuration of a mobile terminal device.

The mobile terminal device 40 includes a control unit 41, a storage unit 42, a communication unit 43, a display unit 44, an operation input unit 45, and a sound input / output unit 46. Each configuration is communicably connected to each other by a bus 47. Since each configuration of the mobile terminal device 40 has the same function as each configuration of the fixed terminal device 30, detailed description thereof will be omitted. The mobile terminal device 40 is a device that functions as a user interface of the care system 1, and can be configured by a portable communication terminal device such as a tablet computer, a smartphone, or a mobile phone.

In this embodiment, the care staff inputs the care response status via the operation input unit 45 when caring for the care target person. For example, the care staff inputs that the care is started and that the care is finished via the operation input unit 45 before and after the care of the care target person is started and finished. The care response status information input by the care staff is transmitted by the control unit 41 to the management server device 20 and the like via the communication unit 43 and the network 50.

(Control unit of management server device)
Subsequently, the functional configuration of the control unit 21 of the management server device 20 will be described.

FIG. 6 is a block diagram showing a functional configuration of a control unit of the management server device.

As shown in FIG. 6, the control unit 21 functions as a request determination unit 211, an acquisition unit 212, a selection unit 213, and a notification unit 214 by reading a program and executing a process.

The request determination unit 211 determines whether or not the care target person has requested care. When, for example, the request determination unit 211 receives information from the detection device 10 that there is a care call, the request determination unit 211 determines that the care target person has requested care. Alternatively, the request determination unit 211 may determine that the care target person has requested care based on the determination result information and / or the image received from the detection device 10. That is, the request determination unit 211 may determine that the care target person has requested care when the care target person takes a predetermined action such as getting out of bed or falling.

The acquisition unit 212 acquires various data stored in the storage unit 22 of the management server device 20. The acquisition unit 212, for example, has data indicating the characteristics of the care target person stored in the storage unit 22 (hereinafter referred to as “care target person characteristic data”) and data indicating the characteristics of the care staff (hereinafter referred to as “care staff characteristic data”). ") And are obtained respectively. The acquisition unit 212 may acquire various data from an external device via the network 50 and the communication unit 23 instead of the storage unit 22. Details of the care target person characteristic data and the care staff characteristic data will be described later with reference to Tables 1 and 2.

The selection department 213 selects care staff who care for the care recipient.

The notification unit 214 notifies the mobile terminal device 40 and the like via the communication unit 23 of the management server device 20 and the network 50.

(Characteristic data of care recipients)
Next, the care target person characteristic data will be described.

Table 1 is a table showing an example of care subject characteristic data. FIG. 7 is a diagram for explaining the Barthel index.

As shown in Table 1, the care target person characteristic data includes data showing the physical characteristics (physical characteristics) of the care target person. The care subject trait data includes, for example, at least one data of the care subject's height, weight, and athletic ability as data indicating the physical characteristics of the care subject. However, the items included in the care target person characteristic data are not limited to these, and for example, the care target person characteristic data may include data showing mental characteristics such as stress of the care target person.

In addition, the athletic ability data included in the care subject characteristic data may be data based on the evaluation of ADL (Activities of Daily Living, activities of daily living or activities of daily living), and in particular, the Barthel index shown in FIG. The data may be based on (Barthel Index, functional evaluation).

In the example shown in Table 1, the data of athletic ability is obtained from three items of the Barthel index shown in FIG. 7, "2. Movement from wheelchair to bed", "4. Toilet movement" and "6. Walking". It is configured based on. As shown in FIG. 7, the Barthel index evaluates "movement from wheelchair to bed" and "walking" on a four-point scale of 0 points, 5 points, 10 points and 15 points, and 0 for "toilet operation". It is evaluated on a three-point scale of 5 points and 10 points.

However, the Barthel index items that make up the athletic performance data are not limited to these. The athletic performance data may be constructed based on other different items of the Barthel index. In addition, athletic performance data may be constructed based on two or less or four or more items of the Barthel index.

The care subject characteristic data may be updated regularly or at the timing when at least one of the care subject's height, weight and athletic ability is confirmed to change. For example, among the care target person characteristic data, the height and weight data may be updated at the timing of a health examination or the like performed on the care target person. In addition, the athletic performance data may be updated at the timing of the evaluation of ADL performed on the care subject.

(Care staff feature data)
Next, the care staff characteristic data will be described.

Table 2 is a diagram showing an example of care staff characteristic data.

As shown in Table 2, the care staff characteristic data includes data showing the physical characteristics (physical characteristics) of the care staff. The care staff characteristic data includes, for example, at least one data of the height and back strength of the care staff as data indicating the physical characteristics of the care staff. However, the items included in the care staff characteristic data are not limited to these, and for example, the care staff characteristic data may include data indicating mental characteristics such as stress of the care staff.

In addition, the care staff characteristic data may be updated regularly or at the timing when at least one of the height and back muscle strength of the care staff is confirmed to change. For example, among the care staff characteristic data, the height and back muscle strength data may be updated at the timing of a health examination or the like performed on the care staff.

<First Embodiment>
Hereinafter, the procedure for processing the management server device 20 according to the first embodiment will be described with reference to FIGS. 8 and 9. The process of the management server device 20 controls to select an appropriate care staff who cares for the care target person.

FIG. 8 is a flowchart showing a processing procedure of the management server device. The algorithm shown in the flowchart of FIG. 8 is stored as a program in the storage unit 22 of the management server device 20, and is executed by the control unit 21.

As shown in FIG. 8, first, the control unit 21, as the request determination unit 211, determines whether or not the care target person has requested care (step S101). For example, as described above, when the control unit 21 receives the information that the care call has been made from the detection device 10, the control unit 21 determines that the care target person has requested the care.

When the care target person does not request care (step S101: NO), the control unit 21 ends the process.

When the care target person requests care (step S101: YES), the control unit 21 acquires the care target person characteristic data from the storage unit 22 or the like as the acquisition unit 212 (step S102). In this case, the control unit 21 may acquire only the care target person characteristic data of the care target person who requested the care in step S101.

Subsequently, the control unit 21 acquires the care staff feature data from the storage unit 22 and the like as the acquisition unit 212 (step S103). The order of steps S102 and S103 may be changed.

Subsequently, the control unit 21, as the selection unit 213, executes a care staff selection process for selecting a care staff who cares for the care target person who requested the care in step S101 (step S104). The control unit 21 selects the care staff based on the care target person characteristic data acquired in step S102 and the care staff characteristic data acquired in step S103. The details of the care staff selection process will be described later.

Subsequently, the control unit 21 notifies the care staff selected in step S104 to the care staff selected in step S104 as the notification unit 214 (step S105). The control unit 21 notifies, for example, the mobile terminal device 40 carried by the selected care staff. The control unit 21 allocates the care of the care target person to the selected care staff by the notification. Then, the control unit 21 ends the process.

In addition, the control unit 21 notifies the mobile terminal device 40 of the selected care staff to the effect that the care of the care target person is urged, and also receives the determination result information and the image of the care target person received from the detection device 10. You may send it. As a result, the control unit 21 can have the selected care staff confirm the status of the care target person. In addition, when two or more care staff are selected in step S104, the control unit 21 may notify all the selected care staff at the same time, and the care staff who responds to the notification earliest is targeted for care. Person's care may be allocated.

Subsequently, the details of the care staff selection process in step S104 will be described. In the following, the data shown in Table 1 will be referred to as the care target person characteristic data, and the data shown in Table 2 will be referred to as the care staff characteristic data.

FIG. 9 is a subroutine flowchart showing an example of the procedure of the care staff selection process.

As shown in FIG. 9, the control unit 21 first confirms the situation of each care staff, that is, whether or not each care staff is free (step S201). The control unit 21 confirms whether or not each care staff is free, for example, based on the care response status of each care staff received from the mobile terminal device 40.

Subsequently, in steps S202 to S207, the control unit 21 calculates height points, weight / back muscle strength points, and ADL points according to the combination of the care target person who requested care and the care staff who have free hands. To do. In addition, the control unit 21 may calculate each point only for the combination of the care target person who requested the care and the care staff who is free. However, for the sake of explanation below, the control unit 21 has calculated points for each combination of all the care target persons A01 to A05 shown in Table 1 and all the care staffs B01 to B05 shown in Table 2. The result is shown.

(Calculation of height points)
The control unit 21 is a combination of the care target person and the care staff based on the height data of the care target person included in the care target person characteristic data and the height data of the care staff included in the care staff characteristic data. The height difference according to the above is calculated (step S202). For example, the control unit 21 subtracts the height of the care staff shown in Table 2 from the height of the care target person shown in Table 1 to calculate the height difference. The calculation result of the height difference by the control unit 21 is shown in Table 3 below.

Subsequently, the control unit 21 calculates height points according to each combination of the care target person and the care staff based on the height difference calculated in step S202 (step S203). For example, the control unit 21 calculates the height points shown in Table 5 below from the height difference shown in Table 3 with reference to the correspondence table of the height difference and the height points shown in Table 4 below. The control unit 21 may refer to a correspondence table of height difference and height points stored in advance in the storage unit 22 or the like of the management server device 20. The correspondence between the height difference and the height points is not limited to the examples shown in Table 4.

The height point is a point indicating the magnitude of the load generated on the care staff due to the height difference, and the larger the height point, the heavier the load on the care staff. As shown in Table 4, when the height difference is +10 cm or more, the height point is a positive value. This indicates that when the care staff cares for a care recipient who is taller than himself / herself, the burden on the care staff is heavy. Also, when the height difference is less than -20 cm, the height points are positive values. This indicates that the burden on the care staff is heavy when the care staff takes care of the care recipient who is considerably shorter than himself / herself in a bent position.

Therefore, as shown in Table 5, for example, the control unit 21 calculates a high height point for the combination of the tall care target person A03 or the care target person A05 and the short care staff B04.

(Calculation of weight / back strength points)
Subsequently, the control unit 21 determines the weight of the care target person and the weight of the care target person based on the weight data of the care target person included in the care target person characteristic data and the back muscle strength data of the care staff included in the care staff characteristic data. The ratio of the back muscle strength of the care staff is calculated (step S204). Hereinafter, the ratio of the weight of the care subject and the back muscle strength of the care staff is referred to as "body weight / back muscle strength ratio". The control unit 21 calculates the body weight / back muscle strength ratio by dividing the weight of the care subject shown in Table 1 by the back muscle strength of the care staff shown in Table 2. The calculation result of the body weight / back muscle strength ratio by the control unit 21 is shown in Table 6 below.

Subsequently, the control unit 21 calculates the weight / back strength points according to each combination of the care target person and the care staff based on the weight / back strength ratio calculated in step S204 (step S205). The control unit 21 is shown in Table 8 below from the weight / back strength ratio shown in Table 6, for example, with reference to the correspondence table between the weight / back strength ratio and the weight / back strength point shown in Table 7 below. Calculate weight / back strength points. The control unit 21 may refer to a correspondence table between the body weight / back muscle strength ratio and the body weight / back muscle strength points stored in advance in the storage unit 22 or the like of the management server device 20. The correspondence between the body weight / back muscle strength ratio and the body weight / back muscle strength points is not limited to the examples shown in Table 7.

The body weight / back strength point is a point indicating the magnitude of the load generated on the care staff by the weight / back strength ratio, and the larger the weight / back strength point, the heavier the load on the care staff. As shown in Table 7, when the body weight / back muscle strength ratio is 1.0 or more, the body weight / back muscle strength points have a positive value. This indicates that when the care staff cares for a care subject who is heavy against his / her back muscle strength, the burden on the care staff is heavy. On the other hand, when the body weight / back muscle strength ratio is less than 0.9, the weight / back muscle strength point becomes a negative value. This indicates that the load on the care staff is small when the care staff supports or lifts the body of the care subject who is light in weight to some extent with respect to his / her back muscle strength.

Therefore, as shown in Table 8, for example, the control unit 21 calculates a high body weight / back muscle strength point for the combination of the heavy care subject A05 and the care staff B02 or B05 having no back muscle strength.

(Calculation of ADL points)
Subsequently, the control unit 21 refers to the total score of each item of the ADL evaluation (hereinafter referred to as "ADL total score") based on the data of the ADL evaluation (Barthel index) of the care subject included in the care subject characteristic data. To be called) is calculated (step S206). The calculation result of the total ADL score by the control unit 21 is shown in Table 9 below.

Subsequently, the control unit 21 calculates ADL points based on the ADL total points calculated in step S206 (step S207). For example, the control unit 21 calculates the ADL points shown in Table 11 below from the ADL total points shown in Table 9 with reference to the correspondence table of the ADL total points and the ADL points shown in Table 10 below. The ADL total points and the correspondence table of ADL points may be stored in advance in the storage unit 22 or the like of the management server device 20. The control unit 21 may refer to a correspondence table of ADL total points and ADL points stored in advance in the storage unit 22 or the like of the management server device 20. The correspondence between the total ADL points and the ADL points is not limited to the examples shown in Table 10.

The ADL point is a point indicating the magnitude of the load of the care staff affected by the ADL evaluation of the care subject, and the larger the ADL point, the greater the load of the care staff. As shown in Table 10, when the total ADL points are less than 15, the ADL points are positive values. This indicates that the burden on the care staff is heavy when the care staff takes care of the care recipient who has an obstacle in daily life.

Therefore, as shown in Table 11, for example, the control unit 21 calculates a high ADL point for the care subject A03 having a low total ADL score.

Subsequently, the control unit 21 calculates the total value of the height points calculated in step S202, the weight / back muscle strength points calculated in step S204, and the ADL points calculated in step S206 as load degree points (step S208). .. That is, the load degree point is a point indicating the overall magnitude of the load of the care staff received from the care target person, and the larger the load degree point, the heavier the load of the care staff. The calculation results of the load degree points by the control unit 21 are shown in Table 12 below.

Subsequently, the control unit 21 selects a care staff who cares for the care target person based on the load degree point calculated in step S208 (step S209). For example, among the care staff confirmed to be free in step S201, the control unit 21 has a load degree point (that is, a load received from the care target person) for the care target person who requested care is equal to or less than a predetermined threshold value. Select a care staff who is. Then, the control unit 21 returns to the process of FIG.

For example, when all the care staffs B01 to B05 are free and the threshold value of the load degree point is 0, the control unit 21 selects the care staff as shown in Table 13 below. In Table 13, the selected care staff is indicated by ◯, and the unselected care staff is indicated by ×. For example, when the care target person A02 requests care in step S101 and it is confirmed in step S201 that the care staffs B03 to B05 are free, the control unit 21 selects the care staffs B03 and B04.

As described above, the management server device 20 selects the care staff based on the care target person characteristic data and the care staff characteristic data. As a result, the management server device 20 can select an appropriate care staff who cares for the care target person. Therefore, since the management server device 20 does not require the care staff to perform unreasonable care, it is possible to suppress the onset of back pain of the care staff and the occurrence of an accident due to the fall of the care target person. Further, since the management server device 20 does not give anxiety or discomfort to the care target person, it is possible to suppress the occurrence of complaints from the care target person. Further, since the management server device 20 can select an appropriate care staff, the work efficiency of the care staff can be improved, and the problem of labor shortage at the care site can be solved.

In addition, the management server device 20 selects a care staff when it is determined that the care target person has requested care. As a result, the management server device 20 can select an appropriate care staff at the time when the care target person requests care.

In addition, the care target person characteristic data includes at least one data of the height, weight, and athletic ability of the care target person as data showing the physical characteristics of the care target person. In addition, the care staff characteristic data includes at least one data of the height and back muscle strength of the care staff as data showing the physical characteristics of the care staff. The management server device 20 has a high physical load of supporting or lifting the body of the care target person such as transfer, excretion care, bathing care, etc. by considering the physical characteristics of the care target person and the care staff. Care staff can be selected who can provide care without difficulty.

The athletic ability data is data based on the evaluation of activities of daily living (ADL). As a result, the management server device 20 can use the evaluation data generally performed in the field of care as it is, and can acquire the data of athletic ability without incurring the trouble of performing a special evaluation. In addition, the management server device 20 can minimize the variation in the athletic ability data by acquiring the athletic ability data based on the evaluation of activities of daily living with clear evaluation criteria, and improve the accuracy of the athletic ability data. it can.

In addition, care subject trait data and care staff trait data are updated periodically or when at least one of the items is confirmed to change. As a result, the management server device 20 can select an appropriate care staff in consideration of the care target person characteristic data and the care staff characteristic data that change depending on the situation.

Further, the management server device 20 selects a care staff whose load received from the care target person is equal to or less than a predetermined threshold value among the care staff who are free, and notifies the selected care staff. As a result, the management server device 20 can notify only the care staff who are free and can provide care without difficulty. Therefore, the management server device 20 does not interfere with the care work of the care staff who are responding to the care, and does not cause the care staff to develop back pain or the like.

Although an example of the processing of the management server device 20 according to the first embodiment has been described, the first embodiment is not limited to this. The following various changes and improvements are possible.

It has been explained that the management server device 20 executes the care staff selection process in step S104 when the care target person requests care in step S101. However, the timing at which the management server device 20 executes the care selection process is not limited to this. For example, the management server device 20 executes the care selection process even when the care target person does not request the care because the care staff who provides the care when the care target person requests the care is selected in advance. You may. In this case, the management server device 20 can omit the process of step S101. As a result, the processing of the management server device 20 can be effectively applied to the creation of the work shift table of the care staff.

He also explained that the care subject trait data and the care staff trait data may include data showing the mental traits of the care subject and the care staff. Therefore, the management server device 20 may execute the care staff selection process of step S104 based on the data indicating the mental characteristics of the care target person and the care staff acquired in steps S102 and S103.

Further, it was explained that the management server device 20 confirms the status of each care staff in step S201. However, the present embodiment is not limited to this, and the management server device 20 may omit the process of step S201. By selecting the care staff without considering the situation of each care staff, the management server device 20 can notify the care staff who are not available in step S105 just in case.

Further, it was explained that the management server device 20 calculates the total ADL score in step S206. However, this embodiment is not limited to this. The management server device 20 does not have to calculate the ADL total score when the content of the care requested by the care target person can be determined in advance. Then, the management server device 20 may calculate the ADL points based on the points of the items of the ADL evaluation (Barthel index) corresponding to the content of the care, instead of the total points of ADL. That is, when the management server device 20 can determine that the care recipient has requested the transfer based on the determination result information and / or the image received from the detection device 10, for example, the item of "movement from wheelchair to bed". The ADL point may be calculated based on the score of. As a result, the management server device 20 can select the care staff according to the content of the care requested by the care target person, and can further improve the accuracy of the selection of the care staff.

Further, it was explained that the management server device 20 calculates the ADL points in step S207 with reference to the correspondence table of the ADL total points and the ADL points. However, this embodiment is not limited to this. The management server device 20 may calculate the ADL points based on the threshold value of the ADL total points, instead of referring to the correspondence table of the ADL total points and the ADL points. That is, the control unit 21 may calculate the ADL points based on whether or not the total ADL points are less than a predetermined threshold value.

Further, the management server device 20 may calculate the ADL point by a further different method. The management server device 20 may calculate a positive ADL point when, for example, the score of at least one of the three items of the ADL evaluation is 0. Alternatively, the control unit 21 may calculate a positive ADL point when the scores of all three items of the ADL evaluation are 0 points.

In addition, the management server device 20 has a lower load point (less load) when there are two or more care staff whose load points (load received from the care target) for the care target person are equal to or less than a predetermined threshold value. ) You may preferentially select from the care staff. In the management server device 20, for example, when the care target person A01 requests care in step S101 and it is confirmed in step S201 that the care staffs B01 and B02 are free, the care staff may refer to Table 12. B02 may be preferentially selected. As a result, the management server device 20 can preferentially allocate the care of the care target person to the care staff whose load received from the care target person is smaller. In addition, the care staff who are not selected can perform other care work without difficulty, and as a result, the load on the entire care staff can be reduced.

<Second Embodiment>
Subsequently, the management server device 20 according to the second embodiment will be described. In the management server device 20 according to the second embodiment, the care staff is selected in consideration of the care staff wearing the auxiliary device.

Table 14 is a diagram showing an example of care staff characteristic data according to the second embodiment.

As shown in Table 14, the care staff characteristic data according to the second embodiment is different from the data according to the first embodiment, and the back muscle strength of the care staff corrected by the auxiliary device (hereinafter referred to as “deemed back muscle strength”). Includes data (called). Examples of the auxiliary device include a power suit (power assist suit) and the like. The auxiliary device reinforces the back muscle strength of the care staff and reduces the physical load. The deemed back muscle strength of the care staff illustrated in Table 14 is corrected by + 25 kg with respect to the normal back muscle strength of the care staff illustrated in Table 2.

In step S103 of FIG. 8, the management server device 20 acquires the care staff characteristic data including the data of the deemed back muscle strength instead of the data of the normal back muscle strength of the care staff. Then, the management server device 20 executes the care staff selection process in step S104 based on the data of the deemed back muscle strength. That is, the management server device 20 calculates the body weight / deemed back muscle strength ratio in step S204 of FIG. 9, and calculates the weight / deemed back muscle strength point in step S205. Then, in step S208, the management server device 20 calculates the total value of the height point, the weight / deemed back muscle strength point, and the ADL point as the load degree point.

The management server device 20 may confirm with each care staff in advance that the auxiliary device will be worn. Then, the management server device 20 may confirm the wear schedule of the auxiliary device of each care staff before the step S103. Then, for the care staff who do not wear the auxiliary device, the care staff characteristic data including the data of the normal back muscle strength is acquired, and for the care staff who wears the auxiliary device, the care staff characteristic data including the data of the deemed back muscle strength is acquired. You may get it.

As described above, the management server device 20 according to the second embodiment selects the care staff based on the data of the deemed back muscle strength of the care staff. As a result, the management server device 20 can more accurately grasp the allowable load of the care staff and select the care staff.

<Third Embodiment>
Subsequently, the management server device 20 according to the third embodiment will be described. The management server device 20 according to the third embodiment selects care staff in consideration of the care record data.

In addition to the processing according to the first embodiment, the management server device 20 further acquires the care performance data of each care staff at an arbitrary timing. The management server device 20 may acquire care performance data immediately after, for example, step S103.

The care performance data is data showing the performance of care for the care target person performed by the care staff in the past (for example, within a predetermined period). For example, every time the care staff cares for the care target person, the management server It is stored in the storage unit 22 or the like of the device 20. The care performance data may include, for example, data on the average time spent by the care staff on one care for the care recipient in the past.

In step S209 of FIG. 9, the management server device 20 selects the care staff based on the load degree points calculated based on the care target person characteristic data and the care staff characteristic data, and the care performance data. The management server device 20 refers to, for example, when there are two or more care staff members whose load points for the care target person are equal to or less than a predetermined threshold value, the average time of care for the care target person performed by each care staff member in the past. To do. Then, the management server device 20 selects the care staff who cares for the care target person in the shortest average time as the care staff who cares for the care target person.

In addition, the care performance data may include data showing compatibility between the care recipient and the care staff. The data showing compatibility may include, for example, data showing the results of an evaluation questionnaire for care staff, which is regularly conducted for care recipients. In addition, the compatibility data may include data on the history of troubles that have occurred in the past between the care recipient and the care staff.

Table 15 is a table showing the results of selecting care staff reflecting the results of the evaluation questionnaire. The control unit 21 refers to the result of the evaluation questionnaire, for example, for the care staff whose load degree points are equal to or less than a predetermined threshold value. The result of the evaluation questionnaire may be the result of a 10-grade evaluation showing a better evaluation as the number is larger.

Then, the management server device 20 selects the care staff who has performed the best evaluation by the care target person as the care staff who cares for the care target person. For example, when the management server device 20 refers to Table 15, the management server device 20 selects the care staff B01 as the care staff who cares for the care target person A05.

As described above, the management server device 20 according to the third embodiment selects the care staff based on the care target person characteristic data, the care staff characteristic data, and the care performance data. As a result, the management server device 20 can select the care staff having the best performance of care for the care target person who requested the care from the care staff selected based on the care target person characteristic data and the care staff characteristic data. , Can provide high quality care to the person concerned.

In addition, the care performance data includes data on the average time spent by the care staff on one care for the care recipient in the past. As a result, the management server device 20 can select the care staff who cares for the care target person in the shortest average time as the care staff who cares for the care target person. Therefore, the management server device 20 can select a care staff having high skills in the care of the care target person who requested the care, and can provide the care target person with efficient care in a short time.

In addition, the care performance data includes data showing the results of the evaluation questionnaire for the care staff. As a result, the management server device 20 can select the care staff who has performed the best evaluation by the care target person as the care staff who cares for the care target person. Therefore, the management server device 20 can select a care staff who is compatible with the care target person who requested the care, and can provide comfortable care to the care target person.

In addition, the management server device 20 can select an appropriate care staff even in a busy care site where the care staff does not have time to conduct an evaluation questionnaire by acquiring data on the time spent on care as care performance data. .. In addition, the care staff can devote the time for conducting the evaluation questionnaire to other effective care tasks for the care recipient (for example, conversation with the care recipient, support for the care recipient's independence, etc.). As a result, high quality care can be provided to the care recipient.

<Fourth Embodiment>
Subsequently, the management server device 20 according to the fourth embodiment will be described. The management server device 20 according to the fourth embodiment selects the care staff in consideration of the integrated work amount of the care staff.

In addition to the processing according to the first embodiment, the management server device 20 further acquires data on the accumulated work amount of each care staff within a predetermined period at an arbitrary timing. The management server device 20 may acquire the data of the integrated work amount immediately after, for example, step S103.

The data of the accumulated work amount of the care staff is stored in, for example, the storage unit 22 of the management server device 20, and the accumulated work amount in the data is added every time the care staff takes care of the care target person. .. The data of the accumulated work amount may include, for example, the data of the integrated number of cares performed by the care staff within a predetermined period. In addition, the data of the integrated work amount may include the data of the integrated time of the care performed by the care staff within a predetermined period. The data of the accumulated work amount indicates the accumulated amount of the care work performed by the care staff for all the care target persons within a predetermined period.

In step S209 of FIG. 9, the management server device 20 selects the care staff based on the load degree points calculated based on the care target person characteristic data and the care staff characteristic data and the data of the integrated work amount. For example, when there are two or more care staff whose load degree points for the care target person are equal to or less than a predetermined threshold value, the management server device 20 refers to the cumulative number of cares performed by each care staff within a predetermined period. Then, the management server device 20 selects the care staff with the smallest total number of cares performed within the predetermined period.

Table 16 is a table showing an example of the cumulative number of cares performed by the care staff within the last hour. For example, when the threshold value of the load degree point is 0 and Table 12 and Table 16 are referred to, the management server device 20 selects the care staff B03 as the care staff who cares for the care target person A05.

As described above, the management server device 20 according to the fourth embodiment selects the care staff based on the care target person characteristic data, the care staff characteristic data, and the data of the integrated work amount of the care staff. As a result, the management server device 20 can select the care staff who has the least integrated work amount within a predetermined time among the care staff selected based on the care target person characteristic data and the care staff characteristic data. Therefore, the management server device 20 can suppress the occurrence of variation in the amount of work among the care staff.

<Fifth Embodiment>
Subsequently, the management server device 20 according to the fifth embodiment will be described. The management server device 20 according to the fifth embodiment selects the care staff in consideration of the position of the care staff in the care facility.

The management server device 20 confirms the position of the care staff at an arbitrary timing in addition to the processing according to the first embodiment. The management server device 20 may also confirm the position of the care staff when confirming the status of the care staff in step S201 of FIG. 8, for example.

FIG. 10 is a diagram showing an example of map data of a care facility.

The management server device 20 receives, for example, a notification from the mobile terminal device 40 that it has received a beacon signal arranged at predetermined intervals in the care facility, so that the care staff carrying the mobile terminal device 40 Check the position. Alternatively, the management server device 20 may confirm the position of the care staff by an arbitrary sensor, camera, or the like arranged at predetermined intervals in the care facility. The management server device 20 creates map data as shown in FIG. 10 based on the confirmed positions of the care staff.

Then, the management server device 20 selects the care staff based on the load degree points calculated based on the care target person characteristic data and the care staff characteristic data and the position of the care staff in step S209 of FIG. .. The management server device 20 refers to the position of each care staff when, for example, there are two or more care staff whose load degree points for the care target person are equal to or less than a predetermined threshold value. Then, the management server device 20 selects the care staff who is closest to the care target person as the care staff who cares for the care target person. For example, when the threshold value of the load degree point is 0 and the management server device 20 refers to Table 12 and FIG. 10, the management server device 20 selects the care staff B01 as the care staff who cares for the care target person A02.

As described above, the management server device 20 according to the fifth embodiment selects the care staff in consideration of the position of the care staff. As a result, the management server device 20 can select the care staff who can start the care of the care target person promptly, and can provide the care target person with high quality care.

<Sixth Embodiment>
Subsequently, the management server device 20 according to the sixth embodiment will be described. The management server device 20 according to the sixth embodiment is selected by combining the care staff when there is no care staff whose load degree point (load received from the care target person) for the care target person is equal to or less than a predetermined threshold value.

In step S209 of FIG. 9, the management server device 20 combines at least two of the other care staff who are free when there is no care staff whose load degree point for the care target person is equal to or less than a predetermined threshold value. Select. In the management server device 20, for example, when the care target person A03 requests care, the care staffs B01 and B02 are not available, and the threshold value of the load degree point is 0, the load is loaded with reference to Table 12. It is determined that there is no care staff whose degree points are below a predetermined threshold. In this case, the management server device 20 has at least two of the other care staff B03 to B05 whose load degree points are equal to or higher than a predetermined threshold value as care staffs who care for the care target person A03. Are combined and selected.

For example, the management server device 20 selects care staffs B03 and B04 having a lower load degree point from the care staffs B03 to B05 as the care staffs who care for the care target person A03. Further, in the management server device 20, for example, since the tall care target person A03 requests care, the taller care staffs B03 and B05 may be selected from the care staffs B03 to B05.

In addition, the management server device 20 may collectively select all of the care staff who are free, that is, three care staffs B03 to B05. Then, the management server device 20 may notify the three selected care staffs B03 to B05 at the same time, and the care staff who responded to the notification earliest and the care staff who responded second earliest may be notified. Care may be allocated to the care recipient. Further, the management server device 20 may allocate the care of the care target person to all the care staffs B03 to B05 who are free.

As described above, the management server device 20 according to the sixth embodiment has at least two of the other care staff who are free when there is no care staff whose load received from the care target person is equal to or less than a predetermined threshold value. Are combined and selected. As a result, the management server device 20 does not have to wait for the care target person even when the care staff who can perform the care of the care target person by himself / herself is not available at the busy care site. Further, the management server device 20 allocates the care of the care target person to two or more care staffs, so that each care staff does not have to perform unreasonable care beyond his / her own ability.

<7th Embodiment>
Subsequently, the management server device 20 according to the seventh embodiment will be described. The management server device 20 according to the seventh embodiment selects the care staff in consideration of the care technique of the care staff and the presence or absence of back pain.

Table 17 is a diagram showing an example of care staff characteristic data according to the seventh embodiment. FIG. 11 is a subroutine flowchart showing another example of the procedure of the care staff selection process.

As shown in Table 17, the care staff characteristic data according to the seventh embodiment includes, in addition to the data according to the first embodiment, data indicating the care technique of the care staff and at least one of the presence or absence of back pain. The care technique and data indicating the presence or absence of low back pain may be updated regularly or at the timing when changes are confirmed.

As shown in FIG. 11, the management server device 20 executes the processes of steps S301 and S302 in addition to the processes shown in FIG.

The management server device 20 calculates the care points based on the data indicating the care technique of the care staff included in the care staff characteristic data (step S301). Further, the management server device 20 calculates the back pain points based on the data indicating the presence or absence of back pain of the care staff included in the care staff characteristic data (step S302). Then, in step S208, the management server device 20 also adds the care points and the back pain points to the total value. The care point is a point indicating the magnitude of the load of the care staff affected by the care technique of the care staff, and the larger the care point, the greater the load of the care staff. In addition, the back pain point is a point indicating the magnitude of the load of the care staff affected by the presence or absence of the back pain of the care staff, and the larger the back pain point, the greater the load of the care staff.

Tables 18 to 21 show a correspondence table of care techniques and care points, a calculation result of care points of care staff, a correspondence table of presence / absence of back pain and back pain points, and an example of calculation results of back pain points of care staff. In addition, Table 22 shows an example of the calculation result of the load degree point considering the care point and the back pain point. As shown in Table 22, the management server device 20 calculates a load degree point having a value different from the load degree point illustrated in the first embodiment (Table 12).

As described above, the management server device 20 according to the seventh embodiment selects the care staff based on the care technique of the care staff and the care staff characteristic data including data indicating at least one of the presence or absence of back pain. As a result, the management server device 20 can select the care staff more accurately considering the allowable load of the care staff.

<8th Embodiment>
Subsequently, the management server device 20 according to the eighth embodiment will be described. The management server device 20 according to the eighth embodiment selects care staff by a method different from that of the above embodiment.

Table 23 is a diagram showing an example of care target person characteristic data according to the eighth embodiment. Table 24 is a diagram showing an example of care staff characteristic data according to the eighth embodiment.

The management server device 20 calculates the care necessary points of the care target person based on each item included in the care target person characteristic data. In addition, the management server device 20 calculates the care ability points of the care staff based on each item included in the care staff characteristic data. Then, the management server device 20 compares the care necessary points and the care ability points, and selects a care staff having the care ability points equal to or higher than the care necessary points of the care target person who requested the care.

In addition, the management server device 20 compares the care points of one care target person with the total value of the care ability points of two or more care staffs, and two or more care staffs who care for the care target person. May be selected. For example, the management server device 20 may select care staffs B03 and B04 as care staffs who care for the care target person A03.

As described above, the management server device 20 according to the eighth embodiment selects the care staff by a method different from that of the above embodiment. The management server device 20 can select the care staff by various methods based on the care target person characteristic data and the care staff characteristic data.

The processes according to each of the above embodiments may be executed in combination. For example, the management server device 20 provides the care staff based on the care staff characteristic data including the data of the deemed back muscle strength according to the second embodiment, the care technique according to the seventh embodiment, and the data indicating the presence or absence of low back pain. You may choose.

The process in the management server device 20 according to the above-described embodiment may include steps other than the steps in the above flowchart, or may not include a part of the above-mentioned steps. Moreover, the order of steps is not limited to the above-described embodiment. Further, each step may be executed as one step in combination with other steps, may be executed by being included in other steps, or may be executed by being divided into a plurality of steps.

Further, the means and methods for performing various processes in the management server device 20 according to the above-described embodiment can be realized by either a dedicated hardware circuit or a programmed computer. The program may be provided by a computer-readable recording medium such as a CD-ROM (Compact Disc Read Only Memory), or may be provided online via a network such as the Internet. In this case, the program recorded on the computer-readable recording medium is usually transferred to and stored in a storage unit such as a hard disk. Further, the above program may be provided as a single application software, or may be incorporated into the software of the management server device 20 as a function of the device.

This application is based on a Japanese patent application (Japanese Patent Application No. 2018-005802) filed on January 17, 2018, the disclosure of which is referenced and incorporated as a whole.

1 Care system,
10 Detection device,
11, 21, 31, 41 Control unit,
12, 22, 32, 42 storage units,
13, 23, 33, 43 communication unit,
14 Image generator,
15 Data processing unit,
16 Care call input section,
17, 36, 46 sound input / output section,
18, 24, 37, 47 buses,
20 management server device,
211 Request Judgment Unit,
212 Acquisition Department,
213 Selection Department,
214 Notification section,
30 Fixed terminal device,
34, 44 display unit,
35, 45 operation input unit,
40 mobile terminal device,
50 networks,
60 access points.

Claims (14)

It is a method of selecting a care staff who cares for the person to be cared for.
The first acquisition step of acquiring the care target person characteristic data, which is the data indicating the characteristics of the care target person, and
The second acquisition step of acquiring the care staff characteristic data, which is the data indicating the characteristics of the care staff, and
A selection step for selecting the care staff based on the care target person characteristic data acquired in the first acquisition step and the care staff characteristic data acquired in the second acquisition step.
How to include. Prior to the first acquisition step and the second acquisition step, a request determination step for determining whether or not the care subject has requested care is further included.
The method according to claim 1, wherein when it is determined in the selection step that the care target person has requested care in the request determination step, the care staff is selected. The care subject characteristic data includes at least one data of height, weight, and athletic ability of the care subject as data indicating the physical characteristics of the care subject.
The method according to claim 1 or 2, wherein the care staff characteristic data includes at least one data of the height and back muscle strength of the care staff as data indicating the physical characteristics of the care staff. The method according to claim 3, wherein the athletic ability data is data based on an evaluation of activities of daily living (ADL). The care subject characteristic data is updated periodically or at the timing when at least one of the height, the weight and the athletic ability of the care subject is confirmed to be changed.
The method according to claim 3 or 4, wherein the care staff characteristic data is updated periodically or at a timing when at least one of the height and the back muscle strength of the care staff is confirmed to change. The care staff feature data includes data on deemed back strength, which is the back strength of the care staff corrected by an auxiliary device worn by the care staff.
The method according to any one of claims 3 to 5, wherein the care staff is selected based on the data of the deemed back muscle strength in the selection step. The method according to any one of claims 1 to 6, wherein the care staff characteristic data includes data indicating at least one of the care skills of the care staff and the presence or absence of low back pain. It further includes a notification step that notifies the care staff to encourage the care of the care recipient.
In the selection step, it is confirmed whether or not the care staff is free, and among the free care staff, the care staff whose load received from the care target person is equal to or less than a predetermined threshold is selected. Being done
The method according to any one of claims 1 to 7, wherein the notification is given to the selected care staff in the notification step. In the selection step, when there are two or more of the care staff whose load is equal to or less than the predetermined threshold value among the care staff who are free, the care staff having the smaller load is preferentially selected. The method according to claim 8. In the selection step, if none of the free care staff has the load below the predetermined threshold, then at least two of the other free care staff The method according to claim 8 or 9, which is selected in combination. It further includes a third acquisition step of acquiring care performance data, which is data indicating the care performance of the care target person performed by the care staff in the past.
In the selection step, the care target person characteristic data acquired in the first acquisition step, the care staff characteristic data acquired in the second acquisition step, and the care performance acquired in the third acquisition step. The method according to any one of claims 1 to 10, wherein the care staff is selected based on the data. The method according to claim 11, wherein the care performance data includes data on the average time spent by the care staff in one care for the care subject in the past. Further including the fourth acquisition step of acquiring the data of the accumulated work amount of the care staff within the predetermined period.
In the selection step, the care target person characteristic data acquired in the first acquisition step, the care staff characteristic data acquired in the second acquisition step, and the care staff acquired in the fourth acquisition step. The method according to any one of claims 1 to 12, wherein the care staff is selected based on the data of the accumulated work amount of the above. It is a device for selecting care staff who cares for the person to be cared for.
An acquisition unit that acquires care target person characteristic data, which is data indicating the characteristics of the care target person, and care staff characteristic data, which is data indicating the characteristics of the care staff.
A selection unit that selects the care staff based on the care target person characteristic data and the care staff characteristic data acquired by the acquisition unit.
A device having.