Information processing system, issue extraction method, and control program

Abstract

To provide an information processing system, an issue extraction method, and a control program which derive issues in care service of a nursing and care facility.SOLUTION: An information processing system acquires resident information on residents of a plurality of facilities, facility information on the plurality of facilities, and service information on care implemented at the plurality of facilities, and derives issues in an object facility selected from the plurality of facilities on the basis of the resident information, the facility information, and the service information related to the object facility so that the derived issues are output.SELECTED DRAWING: Figure 14

Description

[Technical field]

[0001] The present invention relates to an information processing system, a problem extraction method, and a control program. [Background technology]

[0002] In recent years, the rise in living standards, improved sanitary conditions, and improved medical standards have resulted in a notable increase in life expectancy. This, combined with a decline in the birth rate, has led to an aging society with a high aging rate. In such an aging society, it is expected that the number of people requiring care, such as those in need of nursing care or nursing care, due to illness, injury, aging, etc., will increase.

[0003] In nursing care, various types of care recipients are targeted. In addition, the staff involved in providing care have various experiences and skills. Furthermore, the policies of the facilities where nursing care is provided are not uniform, and there are differences between facilities. In other words, nursing care sites are diverse, and it is a field in which standardization of the work is difficult. The following Patent Document 1 is an example of a technology for finding ways to improve work in such an environment. In Patent Document 1, with the aim of grasping problems and issues in nursing care work and improving nursing care work, information on the presence or movement of staff is output using nurse call history information and the like based on information on the positions of nursing care staff. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] JP 2014-215683 A Summary of the Invention [Problem to be solved by the invention]

[0005] The technology disclosed in Patent Document 1 only captures one aspect of the work, i.e., the location information of staff members. In addition, regarding areas for improvement, the decision is made by a human being by looking at the data, and specific areas for improvement are not indicated by the system.

[0006] The present invention has been made in consideration of the above circumstances, and aims to provide a system that derives issues in nursing care work at nursing care facilities from a comprehensive perspective by analyzing data related to nursing care. [Means for solving the problem]

[0007] The above object of the present invention can be achieved by the following means.

[0008] (1) an acquisition unit that acquires, for a plurality of facilities, resident information regarding residents of the facilities, facility information that is information regarding the facilities, and business information regarding care performed at the facilities; a problem derivation unit that derives a problem in a target facility selected from the plurality of facilities based on the resident information, the facility information, and the business information related to the target facility; An information processing system comprising: an output unit that outputs the derived problem.

[0009] (2) The information processing system according to (1) above, wherein the resident information includes physical condition information relating to the physical condition of the resident and lifestyle information relating to the daily activities of the resident in the facility.

[0010] (3) The information processing system described in (2) above, wherein the lifestyle information includes at least one of the resident's activity level, sleep time, and number of care calls to summon staff in the facility.

[0011] (4) The information processing system described in (1) above, wherein the business information includes staff information regarding staff providing care to the resident at the facility, and care information regarding care for the resident.

[0012] (5) The information processing system described in (1) above, wherein the problem derivation unit derives the problem based on the resident information, facility information, and business information regarding the target facility using a mathematical model generated based on the resident information, facility information, and business information of multiple facilities.

[0013] (6) The information processing system according to (1) above, further comprising an improvement item derivation unit that derives improvement items for the problems derived by the problem derivation unit.

[0014] (7) Further, an improvement item progress evaluation unit is provided, the acquisition unit accepts selection of one or a plurality of improvement items from among the improvement items derived by the improvement item derivation unit; the improvement item transition evaluation unit sets the time when the selection of the improvement item is received as a reference date, evaluating an improvement effect by comparing a first index value calculated from the facility information, the resident information, and the business information for the period before the reference date with a second index value calculated from the facility information, the resident information, and the business information for the period after the reference date, for the selected improvement item; The information processing system according to (6) above, wherein the output unit outputs the evaluated improvement effect.

[0015] (8) A step (a) of acquiring, for a plurality of facilities, resident information relating to residents of the facilities, facility information relating to the facilities, and business information relating to care provided at the facilities; (b) deriving a problem in a target facility selected from the plurality of facilities based on the resident information, the facility information, and the business information regarding the target facility; and (c) outputting the issues derived in the step (b).

[0016] (9) A step (a) of acquiring, for a plurality of facilities, resident information relating to residents of the facilities, facility information relating to the facilities, and business information relating to care provided at the facilities; (b) deriving a problem in a target facility selected from the plurality of facilities based on the resident information, the facility information, and the business information regarding the target facility; and (c) outputting the problem derived in step (b). Effect of the Invention

[0017] The information processing system according to the present invention includes an acquisition unit that acquires, for a plurality of facilities, resident information on facility residents, facility information that is information on the facility, and care work information performed at the facility, a problem derivation unit that derives a problem at a target facility selected from the plurality of facilities based on the resident information, the facility information, and the work information, and an output unit that outputs the derived problem. This makes it possible to derive problems in care work at a care facility. [Brief description of the drawings]

[0018] [Figure 1] 1 is a schematic diagram showing an information processing system according to an embodiment of the present invention; [Diagram 2] 1 is a schematic diagram showing the overall configuration of a monitoring support system used in a nursing care facility. [Diagram 3] FIG. 1 is a block diagram showing a configuration of an information processing device. [Figure 4A] 13 is an example of data b1 and b2 stored in the second storage unit. [Figure 4B] 13 is an example of data b3 stored in the second storage unit. [Figure 4C] 13 is an example of data b4 stored in the second storage unit. [Figure 4D] 13 is an example of data b5 stored in the second storage unit. [Figure 4E]13 is an example of data b6 stored in the second storage unit. [Figure 4F] 13 is an example of data b7 stored in the second storage unit. [Diagram 5] FIG. 13 is a diagram showing an example of a detection unit installed in a resident's room. [Figure 6] FIG. 2 is a block diagram showing a schematic configuration of a detection unit. [Figure 7] FIG. 13 is a schematic diagram showing a silhouette determined from a captured image. [Figure 8] FIG. 1 is a block diagram showing a schematic configuration of a monitoring device. [Figure 9] 10 is a flowchart showing a process for responding to an event related to a watching support service executed by the watching support system. [Figure 10] 13 is an example of an operation screen displayed on a staff terminal for responding to an event notification. [Figure 11] 13 is an example of an operation screen displayed on a staff terminal for inputting a care record. [Figure 12] 13 is a flowchart showing a process of collecting and storing transaction information. [Figure 13] 13 is a subroutine flowchart showing the process of step S01 in FIG. 12. [Figure 14] 4 is a flowchart showing a problem derivation process in the first embodiment. [Figure 15] FIG. 1 is a diagram illustrating an example of a mathematical model. [Figure 16] 13 is a flowchart showing a process for generating a mathematical model. [Figure 17] 13 is a flowchart showing a process of deriving improvement items in the second embodiment. [Figure 18] FIG. 13 is a diagram illustrating an example of a facility issue improvement simulator. [Figure 19] FIG. 13 is a diagram illustrating an example of input and output of a simulator. [Figure 20] 13 is a flowchart showing monitoring of improvement items in the third embodiment. [Figure 21]FIG. 13 is a diagram illustrating an example of input and output of a simulator. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0019] Hereinafter, an embodiment of the present invention will be described with reference to the attached drawings. However, the scope of the present invention is not limited to the disclosed embodiment. In the description of the drawings, the same elements are given the same reference numerals, and duplicated descriptions are omitted. In addition, the dimensional ratios of the drawings are exaggerated for the convenience of explanation, and may differ from the actual ratios.

[0020] FIG. 1 is a schematic diagram showing an information processing system 1 and a number of nursing care facilities 900 connected thereto. FIG. 2 is a schematic diagram showing the overall configuration of a monitoring support system 30 used in a nursing care facility 900 (hereinafter also simply referred to as a facility). The information processing system 1 is composed of an information processing device 10. The information processing system 1 may further include at least one of a monitoring support system 30 for the nursing care facility 900 and a terminal device 20 in addition to the information processing device 10. The terminal device 20 is, for example, a PC. An employee 76 of a service provider that provides the monitoring support system service (or a manager, etc. 74 described later) recognizes issues in the nursing care facility 900 by referring to the extracted issue results (described later) displayed and output on the terminal device 20. The information processing device 10 is a server for service management operated by the service provider. The monitoring support system 30 is an on-premise server installed in the premises of the service provider, or a cloud server using a commercial cloud service. The monitoring support system 30 is also equipped with a monitoring device 32, which functions as an edge server installed in each nursing care facility 900.

[0021] (Tenant information, facility information, business information) The monitoring device 32 generates or collects resident information on the residents of the facility, facility information that is information on the facility, and business information on care provided at the facility, and periodically transfers all or part of the collected information to the information processing device 10. The "resident information" can be further classified into physical condition information and information on life. The physical condition information may be, for example, the level of care required of the care recipient (resident) (a resident list described later). The physical condition information may include the dementia level of the resident. The dementia level may be input by the facility staff 72, the unit staff leader (hereinafter simply referred to as the leader), the facility manager (hereinafter collectively referred to as the manager, etc. 74), etc. Alternatively, the monitoring device 32 may determine the resident's unsteadiness level when moving from an image captured by a camera 313 (described later), and evaluate and determine the dementia level based on the determined level. The information about the resident's life includes the resident's activity level (travel time, travel distance), sleep time (life rhythm), number of care calls, etc. (data b1 to b4 described below).

[0022] "Facility information" includes information on facility attributes, facility staff composition, and facility resident attributes (data b5 to b7 described below). There are eight general facility classifications (facility types) listed below, each with its own characteristics and varying trends in resident profile or facility management characteristics. There are four types of private facilities: nursing homes for the elderly, residential nursing homes, serviced housing for the elderly, and group homes, while there are four types of public facilities: care houses, special nursing homes for the elderly, nursing care facilities for the elderly, and nursing care hospitals.

[0023] "Work information" can be further classified into staff information and care work information. Staff 72 are caregivers, nurses, etc. who provide care services to residents 70 at the facility. Staff information includes the years of experience and age of staff 72, which are described in a staff list described below. Care work information includes event detection by the monitoring support system 30, alert information, operation logs of staff 72 in response to alerts on the staff terminal 34, and operation logs related to care records (data b1, b2, b4 described below).

[0024] Hereinafter, the resident information, facility information, and business information are collectively referred to as transaction information (or transaction data, log data). The information processing device 10 may be installed in any of the buildings of the nursing care facility 900, that is, any of the monitoring devices 32 may function as the information processing device 10.

[0025] A monitoring support system 30 is installed in each of the multiple nursing care facilities 900. The monitoring support systems 30 installed in each nursing care facility 900 have the same configuration. The monitoring support system 30 is connected to an information processing device 10 operated by a service provider via the Internet. The nursing care facility 900 is a facility that provides nursing care services to residents of the facility (also called care recipients), and is, for example, a special nursing home for the elderly, a residential type nursing home, or a group home.

[0026] (Overall configuration of monitoring support system 30) Referring to FIG. 2, a monitoring support system 30 used in a nursing care facility 900 includes a detection unit 31, a monitoring device 32, a staff terminal 34, a wireless AP (access point) 35, and a terminal device 20. The terminal device 20, the detection unit 31, the monitoring device 32, and other devices are They are connected to each other by a LAN. The staff terminal 34 connects to other devices via a wireless access point 35. Each device in the nursing care facility 900 connects to an external network via a router (RT). The detection unit 31 is disposed in each room (hereinafter also referred to as a living room) of the resident 70, and detects the behavior and state of the resident 70 in the room. The staff terminal 34 is a portable terminal such as a smartphone, and is used by the staff 72 during work hours. Although the configuration of the staff terminal 34 is omitted, it includes a control unit, a storage unit, a communication unit, an operation display unit, etc. The control unit executes various programs, the communication unit communicates wirelessly, and the operation display unit displays an operation screen by a touch panel and accepts operations. The detection unit 31 and the monitoring device 32 will be described in detail later.

[0027] (Information processing device 10) FIG. 3 is a block diagram showing a schematic configuration of the information processing device 10. The information processing device 10 includes a control unit 110, a first storage unit 120a, a second storage unit 120b, and a communication unit 130. The first storage unit 120a and the second storage unit 120b are configured as separate units in FIG. 3, but may be configured as one storage device such as a file server by logically dividing the storage area. The second storage unit 120b may be distributed and arranged in the monitoring devices 32 of multiple nursing care facilities 900. The data stored in the second storage unit 120b is transaction information, which is collected and aggregated from transaction information generated at each facility and stored in the storage unit 323 (see FIG. 8 described later) of the monitoring device 32 of each nursing care facility 900.

[0028] (Control unit 110) The control unit 110 includes a CPU, a GPU, a RAM, a ROM, etc. The control unit 110 functions as an acquisition unit 111, a problem derivation unit 112, a model generation unit 113, a simulation execution unit 114, an improvement item progress evaluation unit 115, and an output unit 119, either alone or in cooperation with a communication unit 130.

[0029] The acquisition unit 111 acquires transaction information from the monitoring support system 30 of each care facility 900.

[0030] The problem derivation unit 112 derives a problem for a target nursing care facility 900 selected by a user such as an employee 76 from a plurality of nursing care facilities 900 based on resident information and business information.

[0031] The model generation unit 113 generates a mathematical model that indicates the causal relationship between the factors and the problem indexes (see FIG. 15 described later). As a method of the mathematical model, covariance structure analysis, multiple regression analysis, etc. are used. The generation of the mathematical model will be described later (FIG. 16 described later).

[0032] The factors include the ratio of bedridden residents to the total number of residents in each facility, the average number of staff 72 engaged in evening care (EC), the location (prefecture) of the facility, the number of night shifts per month by staff 72 or their distribution, the number of staff 72, etc. For example, whether a resident is bedridden can be determined from the physical condition information in the resident list or by determining by the detection unit 31 whether the resident's actions of walking, getting up, and maintaining a sitting position were performed with the full assistance of the staff 72.

[0033] Issues that are the subject of problem indicators include overtime hours, turnover rate, and staffing (or the appropriateness of it).

[0034] The simulation execution unit 114 functions as an improvement item derivation unit that derives improvement items for the problem derived by the problem derivation unit 112. Using one or more mathematical models generated by the generation unit 113, a task and a target value for the task are input, improvement items (also called action items) for the task are derived, and the target values ​​for the improvement items are output.

[0035] The improvement item progress evaluation unit 115 calculates the index values ​​of the improvement items before and after the reference date when efforts at improvement were started, and evaluates the level of improvement achieved by efforts at the improvement items by comparing the index values ​​before and after (the first and second index values ​​described below).

[0036] The output unit 119 outputs the problem derived by the problem derivation unit 112 and improvement items for the problem derived by the simulation execution unit 114. As the output, the problem and / or the improvement items are transmitted to the terminal device 20.

[0037] The first storage unit 120a stores (a1) a task master, (a2) a facility cluster-specific operation task factor visualization mathematical model, (a3) ​​facility cluster-specific statistical data, and the like.

[0038] (a1) The task master includes a plurality of preset tasks 1, 2, and n. For example, tasks 1 to n are overtime hours, turnover rate, (the appropriateness of) personnel allocation, the workload of the entire staff, etc.

[0039] (a2) The mathematical models for visualizing operation issue factors by facility cluster are multiple mathematical models generated by the model generation unit 113. The facility clusters are obtained by clustering the nursing care facilities 900 based on facility information. More specifically, the facility clusters are obtained by determining the similarity in terms of facility attributes, staff composition, and resident attributes (b5 to b7 below) and clustering similar facilities. The mathematical models for visualizing operation issue factors by facility cluster are obtained by generating a mathematical model based on various transaction information for each clustered group of facilities (hereinafter also simply referred to as a cluster).

[0040] (a3) Facility cluster-specific statistical data is statistical data generated based on various transaction information for each cluster obtained by clustering. The facility cluster-specific statistical data is generated by the control unit 110. The statistical data includes (a31) the ratio of residents wandering at night by cluster (relative to the total number of residents), (a32) the variation in nighttime work, (a33) the average time required for morning care (MC) (minutes), and (a34) the average time required for EC (minutes). For example, the statistical data a31 to a35 are average values ​​by cluster, average values ​​of excellent facilities (for example, the average value of the top 5), etc. In the following, the average value of the top 5 by cluster is used as a benchmark (FIG. 19 described later).

[0041] The second memory unit 120b stores (b1) staff terminal operation log, (b2) system detection and alert log, (b3) resident's daily rhythm, (b4) nursing care performance (care record), (b5) attributes of the nursing care facility, (b6) staff composition of the nursing care facility, (b7) attributes of residents of the nursing care facility, etc. b1 to b4 are generated or acquired by the monitoring support system 30. These data b1 to b7 are examples of transaction information. In particular, data b1, b2, and b4 belong to business information, and data b3 belongs to information related to daily life among resident information. Data b5 to b7 belong to facility information.

[0042] 4A to 4F are examples of data b1 to b7 stored in the second storage unit 120b. FIG. 4A is an example of (b1) a staff terminal operation log and (b2) a system detection and alert log. In a facility, the monitoring support system 30 detects a specific behavior of a care recipient (called a behavior detection log or an event) and alerts the staff 72 via the staff terminal 34, and records the response log. The procedure for determining an event as in FIG. 4A and acquiring the corresponding response log will be described later (FIG. 10, etc.).

[0043] Fig. 4B is an example of the life rhythm of a resident (b3) recorded by the monitoring support system 30. Recording of life rhythms such as that in Fig. 4B will be described later.

[0044] Fig. 4C is an example of care performance data (b4) recorded by operation of staff member 72 of staff terminal 34. The procedure for generating care performance data such as that shown in Fig. 4C will be described later (Fig. 11, etc.).

[0045] Fig. 4D shows an example of (b5) attributes of a nursing care facility. The attributes of the facility include the facility type, capacity, location (prefecture), and occupancy rate (number of residents / capacity). This facility attribute information is input via the terminal device 20 by the manager 74 or an employee 76 who collects information from the facility.

[0046] Fig. 4E is an example of (b6) staff composition of a nursing care facility, and Fig. 4F is an example of (b7) resident attributes of a nursing care facility. These data can be collected by referring to the resident list and staff list (both of which will be described later) recorded in the memory unit 323 of the monitoring device 32 of each facility.

[0047] (Monitoring Support System 30) The watching support system 30 and a procedure for generating transaction information by the watching support system 30 will be described below with reference to FIGS.

[0048] (Detection unit 31) FIG. 5 is a diagram showing an example of a detection unit 31 installed in a room of a resident of the facility, and FIG. 6 is a block diagram showing a schematic configuration of the detection unit 31. As shown in FIG.

[0049] The detection unit 31 is also called a sensor box or a monitoring support sensor, and is disposed in each room so as to observe or monitor the room of the resident 70, which is the observation area. The detection unit 31 includes various sensors as described later, and generates sensing information from the output of the sensors. The sensing information includes not only the signals of each sensor, but also, for example, the determination result of the movement of a person determined by image processing from a video signal (an event described later), and a care call signal from the care call unit 315 (described later).

[0050] As shown in FIG. 6, the detection unit 31 includes a control unit 311, a communication unit 312, a camera 313, a body movement sensor 314, and a care call unit 315, which are connected to each other via a bus or short-range wireless communication.

[0051] The control unit 311 has a CPU, RAM, ROM, etc., as a configuration similar to that of the control unit 110. The control unit 311 may also have a HDD. The control unit 311 controls each unit of the detection unit 31 and performs calculation processing according to a program. The control unit 311 functions as an event determination unit 31a.

[0052] The communication unit 312 is an interface circuit (eg, a LAN card, a wireless communication circuit, etc.) for communicating with other devices such as the monitoring device 32 via a LAN.

[0053] The camera 313 is placed, for example, on the ceiling or upper part of a wall of the room, captures the bed 60 of the resident 70 directly below as an observation area, and outputs the captured image (image data). This captured image includes still images and videos. The camera 313 is a near-infrared camera, but a visible light camera may be used instead, or both may be used in combination. The camera 313 outputs an image signal as sensing information acquired by the imaging sensor.

[0054] The body movement sensor 314 is a Doppler shift type sensor that transmits and receives microwaves to and from the bed 60 and detects a Doppler shift of the microwaves caused by the body movement (eg, breathing movement) of the occupant 70 .

[0055] The care call unit 315 includes a push button switch, and detects a care call (also called a nurse call) when the resident 70 operates this switch. Instead of a push button switch, a care call may be detected by an audio microphone. When the switch of the care call unit 315 is pressed, that is, when a care call is detected, the control unit 311 transmits a notification that a care call has been made to the watching device 32, etc., via the communication unit 312 and the LAN.

[0056] FIG. 7 is a schematic diagram showing a silhouette determined from a captured image. FIG. 7 shows a part of a captured image i1 captured by a camera 313. The event determination unit 31a of the control unit 311 detects a whole-body silhouette 1A of a resident 70 (hereinafter referred to as a "human silhouette") from a plurality of captured images (moving images). A head silhouette (not shown) may be used together with or instead of the human silhouette 1A. The human silhouette 1A may be detected, for example, by extracting a range of pixels with a relatively large difference by a time difference that subtracts images captured before and after. The human silhouette 1A may also be detected by a background difference method that subtracts a background image from a captured image.

[0057] Whether the event is getting up, getting out of bed, falling or falling down is determined by the event determination unit 31a based on the posture of the resident 70 (e.g., standing, sitting, lying, etc.) from the detected human silhouette 1A and the relative position to objects in the room such as the bed 60. For example, getting up can be recognized when the width of the human silhouette 1A crossing any side of a preset rectangle viewed from above, with vertices at the four corners of the bed 60, increases to 20 cm or more. Also, getting out of bed can be recognized when the ratio of the area of ​​the human silhouette 1A outside the rectangle to the area inside the rectangle increases to 80% or more.

[0058] The sleep state should at least include the state of "asleep" in which the person is asleep in bed, but preferably also includes, in addition to "asleep," "absent" in which the person is in the room but out of bed 60, and "awake" in which the person is in bed 60 (present) but not asleep. Sleep is determined by detecting the human silhouette 1A and / or the head silhouette from the captured image and determining whether the person is asleep based on changes in position or the frequency of changes. If there is almost no change in position in bed 60, the person is determined to be asleep, and if there are many changes in position due to turning over, etc., the person is determined to be awake.

[0059] These recognitions may be performed by a program processed by the CPU of the control unit 311, or may be performed by a built-in processing circuit. In addition, without being limited to this, all or most of the recognition processes may be performed on the monitoring device 32 side, and the control unit 311 may only transmit the captured image to the monitoring device 32.

[0060] Incidentally, the control unit 311 may further determine the sleeping state based on detection data from the body movement sensor 314, as described below.

[0061] When sleeping, the movements of the resident 70 are small and slight. For this reason, when detecting a sleeping state using this body movement sensor 314, the control unit 311 sets, for example, two thresholds, large and small, regarding the magnitude of the movement. Then, the control unit 311 determines that the resident 70 is "awake" when the movement exceeds a first threshold, that the resident is "not present" when the movement falls below a second threshold, that the resident is "asleep" when the movement is below the first threshold and above the second threshold. This body movement sensor 314 detects abnormal It can also be used for detecting abnormalities. For example, it detects chest movement (up and down movement of the chest) accompanying breathing of the resident 70, and recognizes abnormal micro-movements when it detects a disturbance in the period of the chest movement or an amplitude of the chest movement below a preset threshold. By using this body movement sensor 314 in combination with the camera 313, it is possible to determine each sleep state (absent, asleep, awake) of the resident 70 (see FIG. 4B above).

[0062] (Monitoring device 32) Fig. 8 is a block diagram showing a schematic configuration of the watching device 32. The watching device 32 includes a control unit 321, a communication unit 322, and a storage unit 323. The watching device 32 is a server (edge ​​server) and collects transaction information by working together with the information processing device 10. Note that the device configuration shown in Fig. 8 and other figures is merely an example, and some of the functions of the watching device 32 may be performed by the information processing device 10, or conversely, some of the functions of the information processing device 10 may be performed by the watching device 32.

[0063] (Control unit 321) The control unit 321 includes a CPU, a RAM, a ROM, and the like. The control unit 321 functions as a transaction information generating unit 32a and a facility information receiving unit 32b. The facility information receiving unit 32b receives input of facility information of the nursing care facility 900 to which the monitoring device 32 provides services from the manager, etc. 74, and stores it in the memory unit 323. The control unit 321 also functions as a notifying unit, and notifies the staff terminal 34 of an event determined by the detection unit 31, etc. (S850 described later). In addition, the notification setting for the staff terminal 34 may be individually set by input setting through the user's terminal device 20, etc. (hereinafter, referred to as event notification setting). For example, whether or not to notify the staff terminal 34 of an event determined by the detection unit 31 can be set for each resident 70 or for each event type. For example, for a resident 70 who is at high risk of falling according to physical function and level of care, notifications for all event types are enabled. Conversely, if the resident 70 has a high degree of independence, it is deemed that care for the event of getting out of bed is not necessary, and notification of the event of getting out of bed to this resident 70 is disabled.

[0064] (Communication unit 322) The communication unit 322 is an interface circuit (for example, a LAN card, a wireless communication circuit, etc.) for communicating with other devices such as the detection unit 31 via a LAN.

[0065] (Storage unit 323) The memory unit 323 stores a resident list, a staff list, an event list, nursing care records (care records), facility information, and shift information.

[0066] The "resident list" and the "staff list" include personal IDs (name, number), room numbers, staff names, units, etc., related to the residents 70 and staff 72. The "resident list" also includes information on the physical condition of the residents 70, such as the level of care required, height, weight, age, medical history, and dementia level. A unit (also called a group in charge) is a resident unit to which multiple residents who are in a common area, such as the same floor in the facility, belong, and a group to which multiple staff members in charge of these resident units belong. The "event list" includes event information and response status (see FIG. 4A above). The "shift information" is the working hours or working period of each staff member 72, and is recorded corresponding to the login / logoff time described later. The "care record" includes a care record sheet, a nursing record sheet (medical chart, life record), and a diagnostic chart, which record the care provided to these residents 70 by the staff members 72 (caregivers, nurses, etc.). Some of the nursing care records are entered by staff 72 via staff terminal 34 (FIG. 10 described below).

[0067] (Event handling) Fig. 9 is a flowchart showing a process for responding to an event related to the monitoring support service executed by the monitoring support system 30. By the process in Fig. 9, (b1) the staff terminal operation log and (b2) the system detection and alarm log as shown in Fig. 4A described above are generated by the transaction information generating unit 32a and recorded as an event list in the storage unit 323. The recorded event lists in each of the monitoring devices 32 in each care facility 900 are periodically collected and aggregated by the information processing device 10.

[0068] (Step S800) Here, a login authentication process is performed. The staff member 72 inputs a staff ID and a password via a touch panel (not shown) of the staff terminal 34, and transmits them to the watching device 32. The watching device 32 checks the authentication information stored in the memory unit 323, and transmits the authentication result according to the authority of the care staff member to the staff terminal 34.

[0069] (Step S810) The detection unit 31 monitors the observation area with a camera 313 .

[0070] (Steps S820, S830) The detection unit 31 detects an event from the movement of the resident 70 in the observation area. The detection unit 31 also detects an event through an operation of the care call unit 315. Then, the communication unit 312 of the watching device 32 acquires event information of the event detected by the detection unit 31.

[0071] (Step S840) The monitoring device 32 updates the event list with the event information acquired in step S830. Events included in the event list include getting up, getting out of bed, falling, falling over, and care calls (also referred to as care call events) as described above. The latest detected event is added to the end of the event list. Each event includes data on "event information" and "response status." The event information includes an event ID that is an automatically assigned primary key, a room number, a care recipient ID (target person ID), an event type, an occurrence date and time (time), and image data information. The image data (photographed images i010 to i013) included in the event information is still image data obtained by photographing the event by the detection unit 31 when the event occurred, which was transmitted in step S830. The "response status" includes the status, the staff member who responded, the response date and time (time), and whether or not a live image (hereinafter also simply referred to as a video) was viewed (use of the photographed image) (hereinafter referred to as viewing of a live image). In addition, the information may include whether or not there is a conversation between the staff 72 and the resident 70 by the care call unit 315 (audio microphone) through the staff terminal 34 (hereinafter referred to as audio conversation). Furthermore, the information may also include whether or not the staff 72 has visited the room. The responding staff is a staff member who has taken the initiative in the processing of step S880 described below and has become responsible for the room. Here, "visiting the room" refers to the act of the staff 72 visiting the resident 70's room. When multiple people are recognized in the room at the same time by image processing of the captured image, the event determination unit 31a determines that there has been a visit. When associating with an event, if a visit to the room is detected within a predetermined time from the occurrence of the event, it is linked to the event.

[0072] (Step S850) Here, the monitoring device 32 notifies one or more staff members 72 of the event information newly acquired in step S820. More specifically, based on the event information, a broadcast notification is performed to simultaneously notify the staff terminals 34 of all logged-in staff members 72 belonging to the unit in charge of the resident 70. Note that Fig. 9 only shows the processing of one staff terminal 34 used by one staff member 72 out of the multiple staff terminals 34. Furthermore, when making this notification, if the notification based on the settings for each resident and each event type is disabled by the above-mentioned event notification setting, the notification may be omitted.

[0073] (Step S860) Each staff member 72 checks the event that has occurred through the staff terminal 34. Each staff member 72 checks the event that has occurred through the staff terminal 34. FIG. 10 shows examples of operation screens d1, d2 for responding to an event notification (broadcast notification) displayed on the display unit of the staff terminal 34. The operation screen d1 shown in the figure is a screen on which an event list is displayed. The displayed events can be scrolled up and down by a flick operation.

[0074] Areas e10 to e12 of the operation screen d1 are events of log IDs 3836977 to 3836980 that occurred after log ID 3836973 in FIG. 4A. Area e10 displays an icon indicating that log ID 3836977 is a care call and that the event has been dealt with. Area e11 displays an icon indicating that log ID 3836978 is a wake-up event and that the event has been dealt with. Area e12 displays icons indicating a wake-up event and a bed leaving event and that the event has not been dealt with for log IDs 3836979 and 3836980. These two events are related to the same resident 70 (Mr. C), so they are displayed together in the same area. In addition, because the events have not been dealt with, area e13 displays a thumbnail image related to the latest event (ID 3836980). By operating area e13, text messages can be exchanged with other staff members 72 who are logged in. The staff member 72 clicks on the area e12 on the operation screen d1 to transition to the next operation screen d2 for confirming the contents.

[0075] (Step S870) The staff 72 checks the details of the event on the operation screen d2 displayed on the staff terminal 34. In the operation screen d2, the name of the resident (Mr. C) who caused (determined) the event and the name of the staff (Staff 03) who uses the staff terminal 34 are displayed in the area e20. The time elapsed from the time the event occurred is displayed in the area e21. The elapsed time ("1 minute passed") shown in the area e21 is the time elapsed (rounded down to the nearest minute) since the latest event was determined to have occurred. The area e21 also displays a thumbnail image (still image) of the image taken at the time of the event (getting out of bed). When the staff 72 feels that the thumbnail image is insufficient information and wants to check the status of the resident 70 who caused the get out of bed or get up event, he operates the "talk" button and the "view" button in the areas e23 and e24 below. By operating the "talk" button, he can talk to the resident 70 (Mr. C) through the microphone and speaker of the care call unit 315. By operating the "Watch" button, a display request is sent to the monitoring device 32, and in response, live images (real-time captured images (video)) captured by the camera 313 can be viewed by streaming playback on the operation screen d2. When the "Watch" button is operated, as shown in the video viewing column of the event list in FIG. 4A, video viewing "yes" is recorded for this event (hereinafter also referred to as use of the "live video function"). At this time, the video viewing time and the number of calls / call time via the "Talk" button may also be recorded in association with the event.

[0076] A staff member 72 (e.g., staff member 03) wishes to take the initiative in taking charge of the displayed wake-up and get-out events (IDs 012 and 013) by operating the "respond" button (hereinafter also referred to as "request for responsibility") in area e22. If the staff member does not wish to take charge, the back button (triangle icon) in the bottom column is operated to return to the previous operation screen d1 showing the event list. Note that while a staff member 72 is displaying the operation screen d2 shown in FIG. 10 and checking the status of an event, a prohibition process is performed on other staff members 72 under the control of the monitoring device 32. For example, suppose that while a staff member 72 is checking the status of an event for a resident 70 (Mr. C), another staff member 72 selects the same event (ID 3836980). In this case, the words "checking status" are displayed on the operation screen d1 for the other staff member 72, and Even if you move to screen d2, the "corresponding" button will not be displayed or will not be selectable.

[0077] (Steps S880, S890) When staff member 03 wishes to take the initiative and take charge of an event, he or she operates the "take charge" button (presses the take charge button). In response to staff member 03, who is the terminal user, operating the "take charge" button, staff terminal 34 transmits a request to take charge of the selected event to the monitoring device 32. In response, the monitoring device 32 returns an approval notice. Upon approval, staff member 03 who sent the request becomes responsible for the event, checks the status of the event through staff terminal 34, and rushes to the event to take charge (visit the room), etc., if necessary.

[0078] (Step S900) The monitoring device 32 updates the event list in response to the process of step S880. Specifically, the status of the event list (ID3836979-3836980: getting out of bed, etc.) is changed to "handled". In this embodiment, the status is changed to "handled" in response to the staff member 72 selecting an event and operating the above-mentioned "handle" button for the event displayed on the operation screen d2. That is, by operating the "handle" button, the handling status of "handled", which is information indicating confirmation, is input, and the handling date and time are recorded assuming that the staff member 72 who operated the button handled the event. More specifically, in the event list as shown in FIG. 4A, the time when the process of step S880 or S990 was performed is recorded in the handling date and time column. In this case, the handling may be ended without rushing to the resident 70 by checking the thumbnail image on the operation screen d2 or talking to the resident 70. However, the present invention is not limited to this, and the response date and time may be recorded in the response date and time field as the time when the staff member 72 rushes to the room of the resident 70 who has caused an event such as a fall, a trip, or a nurse call and determines that the staff member 72 has visited the room (step S920 described below). As another example, the response may be completed by inputting the response result on a separate operation screen, and the input time may be recorded in the response date and time field. In addition, in response to updating the event list, the monitoring device 32 broadcasts the updated event list to all staff members who are currently logged in.

[0079] (Step S910) Here, an example will be described in which a rush response is performed. The staff member 72 in charge of the event rushes to the room of the resident 70 who caused the event.

[0080] (Step S920) It is detected that the staff member 72 has visited (entered) the room. This visit is determined by activating a sensor at the entrance of the room, for example, by holding the staff terminal 34 over an NFC tag (near field communication tag) placed at the entrance. Alternatively, the detection unit 31 (event determination unit 31a) of the room determines the visit by detecting a third party other than the resident 70 based on an image captured by the camera 313, that is, by detecting the presence of multiple people. In the latter case, if there is a visit to the room where the event occurred within a predetermined time (for example, within 10 to 15 minutes) from the request to respond to the event (S880), it may be deemed that there was a visit by the staff member 72 (staff member D) who made the response request.

[0081] (Step S930) The detection unit 31 transmits information about the staff's visit to the monitoring device 32. The visit information includes the resident's 70 ID number.

[0082] (Step S940) The monitoring device 32 transmits the visit information received in step S930 to the resident corresponding to the ID number. The status for 70 has been handled, and it will be recorded linked to the event with the latest handled date and time.

[0083] (Step S950) When the staff member 72 finishes working, the staff member 72 logs out by operating an "end of work" button (not shown) on the staff terminal 34. The logout time is recorded in the storage unit 323 as shift information.

[0084] (Entering nursing records) FIG. 11 is an explanatory diagram for explaining a display example of a task scene selection screen used for inputting a nursing record. As shown in FIG. 11, the task scene selection screen d3 displays task scenes related to nursing care. Examples of task scenes include meal care e31, bathing care e32, excretion care e33, and wake-up care e34. In addition to the task scenes shown in FIG. 11, various task scenes can be set in the task scene selection screen d3. In addition to the input item tab e35 for selecting a task scene, the task scene selection screen d3 may display a history tab e36 for displaying history, as shown in FIG. 11. When meal care e31 is selected by clicking on the task scene selection screen d3, the screen transitions to the next input operation screen d4. In the input operation screen d4, the amount of food, the amount of water, and the like related to meal care are input. Through such an operation screen, a nursing record as shown in FIG. 4C is recorded.

[0085] (Collection and storage of transaction data) FIG. 12 is a flowchart showing the process of collecting and storing transaction information.

[0086] (Step S01) The information processing device 10 collects transaction data for a predetermined period, for example, every day, from the monitoring support systems 30 of a plurality of care-care facilities 900. Fig. 13 is a subroutine flowchart showing the process of step S01.

[0087] (Steps S101 to S104) The acquisition unit 111 of the information processing device 10 acquires the above-mentioned data b1 to b4 from each of the monitoring support systems 30 of the multiple care facilities 900. More specifically, the acquisition unit 111 acquires the data b1 to b4 stored in the memory unit 323 of the monitoring device 32 of the care facility 900, and accumulates it in the second memory unit 120b. Here, the data b1 to b4 are as follows: (b1) staff terminal operation log, (b2) system detection, alert log, (b3) resident's life rhythm, (b4) care performance (care record).

[0088] (Step S105) Furthermore, the acquisition unit 111 of the information processing device 10 acquires facility information and resident information (particularly physical condition information) when new information is input, when information is updated, or when an input instruction is given by an administrator or the like. The information processing device 10 accumulates the collected information in the second storage unit 120b as (b5) attributes of the nursing care facility, (b6) staff composition of the nursing care facility, and (b7) attributes of residents of the nursing care facility. This ends the processing of FIG. 13, and the flow returns to the flowchart of FIG. 12.

[0089] (Step S02) The control unit 110 of the information processing device 10 analyzes the information acquired and collected in step S01 by facility cluster and generates statistical data. For example, the statistical data may include cluster-by-cluster average values ​​(average value of all values ​​in a cluster) for the above-mentioned a31 to a35, and average values ​​of excellent facilities (for example, average values ​​of the best 5 in a cluster, or average values ​​of the top 50%). The generated statistical data is stored in the first storage unit 120a. This completes the process shown in FIG. 12. The process ends (END). The data accumulated in the transaction data collection and accumulation process shown in FIG. 12 is used in the problem derivation process described below.

[0090] (Information Processing System According to the First Embodiment) Next, the task derivation process by the information processing system 1 according to the first embodiment will be described with reference to Fig. 14 and Fig. 15. Fig. 14 is a flowchart showing the task derivation process.

[0091] (Problem derivation process) (Step S21) The control unit 110 accepts the selection of a target facility from a user such as an employee 76 via the terminal device 20. For example, the control unit 110 accepts the selection of a facility IDF 999 (see FIG. 4A) from among a plurality of nursing care facilities 900.

[0092] (Steps S22 and S23) The task derivation unit 112 sequentially selects tasks from the task master, and for each task, tallyes up the transaction data accumulated in the second storage unit 120b.

[0093] (Step S24) The problem derivation unit 112 derives a problem using a mathematical model stored in the first storage unit 120a. The generation of the mathematical model will be described later (FIG. 16). FIG. 15 is a diagram showing an example of the mathematical model. The problem derivation unit 112 calculates each factor based on the transaction data collected in step S23. The factors to be calculated include the ratio of bedridden residents, the average number of staff 72 who are involved in EC, the prefecture, the number of night shifts, the number of staff 72, etc. The number of night shifts is, for example, the number of night shifts by all staff 72 per month, or by staff position, for example, the number of night shifts by leader.

[0094] By inputting these calculated factors into the first layer of the mathematical model in FIG. 15, problem indices are obtained as output. The problem indices are index values ​​relating to each of the issues of overtime hours, turnover rate, and personnel allocation. The problem derivation unit 112 then derives a problem according to the index value. For example, the problem with the highest index value is selected. Alternatively, some of the problems with index values ​​higher than the average index value of the same cluster (group of facilities) are selected.

[0095] (Step S25) The output unit 119 outputs the derived one or more tasks as an expected task list. For example, the information processing device 10 transmits the expected task list to the terminal device 20 that has accepted the selection of the facility in step S21.

[0096] In this way, the information processing system according to this embodiment includes an acquisition unit that acquires, for a plurality of facilities, resident information on facility residents, facility information that is information on the facility, and business information on nursing care performed at the facility. The information processing system according to this embodiment also includes a problem derivation unit that derives problems in a target facility selected from the plurality of facilities based on the resident information and the business information. This allows users such as employees 76 and managers 74 to easily understand the problems in the target facility.

[0097] In particular, there are many different types of nursing care facilities. Residents also vary depending on the type of facility they reside in. Even within a single facility, the behavior of residents varies. Even among residents with the same level of care needs, the level of each individual can vary greatly. Staff skills also differ from facility to facility and from individual to individual. Furthermore, the level of commitment and philosophy of staff toward care are not necessarily the same between facilities and individuals. In such circumstances, when trying to carry out operational improvements, it is difficult to determine what issues are important in the first place. In the information processing system according to the present embodiment, by deriving the problems, it is possible to easily grasp the problems that should be addressed with priority.

[0098] (Generation of mathematical models) 16 is a flowchart showing a process for generating a mathematical model. The model generating unit 113 generates a mathematical model from transaction information.

[0099] (Step S301) The model generation unit 113 generates feature quantities for each facility from the transaction information of the resident information, facility information, and business information stored in the second storage unit 120b. Examples of feature quantities generated by the model generation unit 113 include the following. Of the 70 residents in the facility, bedridden residents were selected, and nursing records for MC and EC were extracted from the data on the daily rhythms of the selected residents, and the time required for MC and EC was calculated. Number of night shifts or percentage of day and night shifts for leaders at the facility. · Local information (location of facility). - Percentage of facility residents requiring nursing care (percentage of those requiring a specified level of nursing care or higher). - Nighttime routine of people with a certain level of care requirement. Sleep duration at night. - Identify residents with dementia and measure their activity levels. -The stability of the resident's daily routine. The appropriateness of care plans for residents. Many residents have extremely uniform care plans. Number of nighttime wanderers. This is the number of residents who move around outside their rooms at night. Variability in nighttime duties. This can be total staff visits at night and / or number of nighttime visits per staff member. -Percentage of all residents who have event notifications set. The ratio of event notifications sent to staff devices to the number of logged-in staff. -Number of live image views or voice conversations compared to number of event notifications. - Time it takes for staff to operate their devices after an event is notified. - The ratio of the number of visits to the number of event notifications. - The ratio of the number of visits at the time of event notification to the total number of visits.

[0100] (Step S302) As a preprocessing step, the model generating unit 113 removes outliers that are extremely outside the distribution, and removes feature amounts with overlapping contents or feature amounts with the same meaning.

[0101] (Step S303) The model generation unit 113 analyzes the causes of facility issues by comparing multiple facilities.

[0102] (Step S304) The model generation unit 113 performs a factor analysis of facility issues by a time series analysis in the same facility.

[0103] (Step S305) The model generation unit 113 stores the generated mathematical model in the first storage unit 120a. The model generation unit 113 generates a plurality of mathematical models by repeating steps S301 to S305 a plurality of times. The generated mathematical models are used as shown in FIG. 15 and are used in the process of deriving a problem.

[0104] (Information Processing System According to Second Embodiment) The information processing system 1 according to the second embodiment will be described below with reference to FIGS. In the information processing system 1 according to the second embodiment described below, problem improvement items to be addressed are derived for the problem derived by the above-mentioned processing.

[0105] (Issue improvement item derivation process) FIG. 17 is a flowchart showing the process of deriving improvement items.

[0106] (Step S41) Here, the information processing device 10 outputs a list of expected problems for the target facility. The processing here corresponds to the processing of steps S21 to S25 in Fig. 16. The control unit 110 derives problems for the accepted facility based on the aggregated transaction data, and outputs the results as a list of expected problems.

[0107] (Steps S42 and S43) When a user such as an administrator selects one or more tasks to be tackled from the one or more tasks derived in step S41, the process proceeds to step S44. On the other hand, for tasks that were not selected, the process proceeds to step S43, and the task is registered in the task master (step S43).

[0108] (Step S44) The simulation execution unit 114 executes a simulation. A specific example of the simulation will be described later (FIGS. 17 to 19).

[0109] (Step S45) The output unit 119 outputs the improvement items obtained by the simulation executed by the simulation execution unit 114. This allows users such as employees 76 and managers 74 to understand specific improvement items for the target facility.

[0110] (simulation) Fig. 18 is a diagram showing an example of a facility problem improvement simulator realized by the simulation executing unit 114. Fig. 19 is a diagram showing an example of input and output of the simulator executed by the simulation executing unit 114.

[0111] As shown in FIG. 18, the facility issue improvement simulator inputs an issue, transaction data, and statistical data. The issue is one or more issues derived in step S41 and selected in step S46. The transaction data includes the above-mentioned data b5 to b7 (hereinafter also referred to as facility operation current status data) and data b1 to b4 (see FIGS. 3 to 4F for all). The statistical data is statistical data analyzed by facility cluster as described above. The facility issue improvement simulator uses a facility cluster-specific operation issue factor visualization model (group) consisting of multiple mathematical models 1 to n to execute a simulation based on the input data, extract issue factors, and output the degree to which each improvement item should be resolved.

[0112] In the example shown in FIG. 19, the input data y0 to y15 are data input by a user, or data extracted or calculated mainly from transaction data. (1) Input data y0, y1, y2: The user inputs data on the facility (y0), theme (facility task) (y1), and target value (y2). (2) Input data y11, group y12, group y13: Based on the inputs of y0 to y2, the control unit 110 automatically calculates and displays a current value (current value of overtime hours) (y11) according to the theme based on the transaction data. Similarly, the control unit 110 calculates the values ​​of each data (data groups y12 and y13) related to the attributes based on the transaction data. The control unit 110 automatically extracts or calculates the data based on the transaction data and displays the data. Note that some of the data group y12 may be manually input by the user. For the data group y13, the control unit 110 calculates the current value of the target facility (y0) from the transaction data of the facility and displays it. (3) Input data group y14: The data group y14 relating to the benchmark is input by extracting the relevant statistical data based on the similarity with the target facility from the facility cluster-specific statistical data (a3) ​​stored in the first storage unit 120a. The statistical data used here is the average value of the top 5 facilities of the same type (same facility cluster). This average of the top 5 refers to the average value of the top 5 excellent facilities within the cluster group classified into the same facility cluster.

[0113] In the example shown in FIG. 18, the output data z1 to z3 are calculated by simulation. (1)z1: The simulator automatically calculates the distribution of the target values ​​of each action item (problem factor) to the target value (data y11) of the facility problem. The simulator obtains output data z1 by solving a mathematical optimization problem for the target value. (2)z2: The priority level for solving the problem is calculated and displayed by comparing it with the target. The simulator calculates the priority level based on the difference from the target value and the importance calculated using various analysis methods. The priority level is normalized so that the maximum value is 100. In the example shown in Figure 19, of the multiple problem factors, the degree to which the "average EC time required" and "variation in night-time work" need to be solved is higher than the other problem factors, "proportion of residents wandering at night" and "average MC time required," indicating that these are items that should be addressed with priority. (3)z3: The simulator calculates the overtime hours that would be worked if the index value of the problem factor item were improved to the benchmark value.

[0114] In this manner, in this embodiment, by deriving specific improvement items for an issue, the user can easily grasp the specific improvement items that should be addressed in order to resolve the issue. In particular, in this embodiment, by calculating the priority level, the user can grasp the improvement items that should be addressed with priority.

[0115] (Information Processing System According to the Third Embodiment) The information processing system 1 according to the third embodiment will be described below with reference to Fig. 20 to Fig. 21. In the information processing system 1 according to the third embodiment, the progress of the index of the improvement item is monitored and evaluated with respect to the index of the problem improvement item derived by the above-mentioned processing.

[0116] (Monitoring improvements) FIG. 20 is a flow chart showing monitoring of improvement items.

[0117] (Steps S51 to S56) A user such as an employee 76 inputs information on the current state of operation of the facility in question via the terminal device 20, and also accepts the selection of a problem. The information processing system 1 outputs the degree to which each improvement item needs to be resolved through the processing of steps S52 to S56. The processing performed here is similar to the processing shown in steps S41 to S45 of FIG. 17 and FIG. 19.

[0118] (Step S61) The user selects one or more improvements to be resolved.

[0119] (Step S62) The improvement item transition evaluation unit 115 of the control unit 110 registers the date and time of reception as a reference date. In addition, an index value for the improvement item calculated from transaction data up to the time of reception, i.e., the period up to the day before the reference date, is calculated (hereinafter referred to as a first index value) and recorded in the second storage unit 102b. This first index value is used as a benchmark for evaluating the improvement effect. FIG. 21 is a diagram showing an example of input and output of a simulator executed by the simulation execution unit 114. FIG. 21 is a diagram corresponding to FIG. 19, but FIG. 21 has a column for the reference date and columns for the first and second index values. In the first index value, a first index value data group y20 calculated from transaction data before the reference date is displayed. The period used to calculate the first index value data group y20 may be a predetermined period set in advance (for example, one month or several months), or may be a period set by the user each time. The example in FIG. 21 shows a case where four items (proportion of residents wandering around at night, variation in nighttime work, average time required for MC, and average time required for EC) are selected as improvement items.

[0120] (Step S63) The facility will then work to improve the selected improvement items.

[0121] (Step S64) The information processing system 1 continues to acquire transaction data of the target facility. The transaction data is accumulated in the second storage unit 120b.

[0122] (Step S65) The improvement item transition evaluation unit 115 monitors improvement items after the base date after a predetermined period of time has passed since the base date, for example, after two weeks or one month has passed. That is, based on transaction data from the base date until a predetermined period of time has passed (for example, one month or the present), it calculates an index value of the improvement item (hereinafter, referred to as a second index value).

[0123] (Step S66) The improvement item transition evaluation unit 115 evaluates the improvement effect by comparing the first index value and the second index value. Then, the output unit 119 outputs the evaluation result. For example, the output unit 119 displays the evaluation result. For example, in the example shown in FIG. 21, the improvement item transition evaluation unit 115 calculates and displays the improvement effect y22 by comparing each index value in the second index value data group y21 with the corresponding index value in the first index value data group y20. The comparison of the index values ​​may be the difference between the first and second index values, or the ratio between the two.

[0124] The efforts on the improvement items and the evaluation of the improvement effects are performed continuously. The evaluation of the improvement effects may be performed monthly or every two weeks to monitor the progress. The results of the monitoring may be output by the information processing system 1 in the form of a graph or the like.

[0125] In this way, the improvement item transition evaluation unit of the information processing system 1 according to the third embodiment evaluates the improvement effect by comparing a first index value calculated from the facility information, the resident information, and the business information for the period before the reference date with a second index value calculated from the facility information, the resident information, and the business information for the period after the reference date, with the time when the improvement item is selected as the reference date. This allows users such as facility managers to easily grasp the improvement effect of efforts to improve the facility.

[0126] The above-described configuration of the information processing system 1 is a main configuration described in order to explain the features of the above-described embodiment, but is not limited to the above-described configuration and may be modified in various ways within the scope of the claims. In addition, the configuration of a general information processing device 10 is not excluded.

[0127] The means and methods for performing various processes in the information processing device 10 or the information processing system 1 according to the above-described embodiment 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 (Digital Versatile Disc)-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 unit 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 one of its functions. [Explanation of symbols]

[0128] 1. Information Processing Systems 10. Information processing device 110 Control section 111 Acquisition Department 112 Task derivation part 114 Simulation Execution Department 115 Improvement Item Progress Evaluation Section 119 Output section 120a First storage unit 120b 2nd memory section 130 Communications Department 20 Terminal Equipment 30 Monitoring support system 31 Detection unit 32 Monitoring Device 34 Staff terminal

Claims

1. an acquisition unit that acquires, for a plurality of facilities, resident information relating to residents of the facilities, facility information which is information about the facilities, and business information relating to care performed at the facilities; a problem derivation unit that derives a problem in a target facility selected from the plurality of facilities based on the resident information, the facility information, and the business information related to the target facility; An information processing system comprising: an output unit that outputs the derived problem.

2. The information processing system according to claim 1 , wherein the resident information includes physical condition information relating to a physical condition of the resident, and lifestyle information relating to the daily activities of the resident in the facility.

3. The information processing system according to claim 2 , wherein the lifestyle information includes at least one of an amount of activity of the resident in the facility, a sleeping time, and a number of care calls to summon staff.

4. The information processing system according to claim 1 , wherein the business information includes staff information on staff providing care to the resident at the facility, and care information on care for the resident.

5. The information processing system of claim 1 , wherein the problem derivation unit derives the problem based on the resident information, facility information, and business information regarding the target facility using a mathematical model generated based on the resident information, facility information, and business information of multiple facilities.

6. The information processing system according to claim 1 , further comprising an improvement item derivation unit that derives improvement items for the problems derived by the problem derivation unit.

7. Further, an improvement item transition evaluation unit is provided, the acquisition unit accepts selection of one or a plurality of improvement items from among the improvement items derived by the improvement item derivation unit; the improvement item transition evaluation unit sets the time when the selection of the improvement item is received as a reference date, evaluating an improvement effect by comparing a first index value calculated from the facility information, the resident information, and the business information for the period before the reference date with a second index value calculated from the facility information, the resident information, and the business information for the period after the reference date, for the selected improvement item; The information processing system according to claim 6 , wherein the output unit outputs the evaluated improvement effect.

8. (a) acquiring, for a plurality of facilities, resident information relating to residents of the facilities, facility information relating to the facilities, and business information relating to care provided at the facilities; (b) deriving a problem in a target facility selected from the plurality of facilities based on the resident information, the facility information, and the business information regarding the target facility; and (c) outputting the issues derived in the step (b).

9. (a) acquiring, for a plurality of facilities, resident information relating to residents of the facilities, facility information relating to the facilities, and business information relating to care provided at the facilities; (b) deriving a problem in a target facility selected from the plurality of facilities based on the resident information, the facility information, and the business information regarding the target facility; and (c) outputting the task derived in the step (b).

Images