WO2020003758A1 - Report output program, report output method, and report output device - Google Patents

Report output program, report output method, and report output device Download PDF

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Publication number
WO2020003758A1
WO2020003758A1 PCT/JP2019/018630 JP2019018630W WO2020003758A1 WO 2020003758 A1 WO2020003758 A1 WO 2020003758A1 JP 2019018630 W JP2019018630 W JP 2019018630W WO 2020003758 A1 WO2020003758 A1 WO 2020003758A1
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WIPO (PCT)
Prior art keywords
event
staff
report
response
detected
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PCT/JP2019/018630
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French (fr)
Japanese (ja)
Inventor
寛 古川
武士 阪口
海里 姫野
恵美子 寄▲崎▼
遠山 修
藤原 浩一
Original Assignee
コニカミノルタ株式会社
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Application filed by コニカミノルタ株式会社 filed Critical コニカミノルタ株式会社
Priority to JP2020527253A priority Critical patent/JP7363780B2/en
Publication of WO2020003758A1 publication Critical patent/WO2020003758A1/en

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Social work or social welfare, e.g. community support activities or counselling services

Definitions

  • the present invention relates to a report output program, a report output method, and a report output device.
  • the present invention relates to a report output program, a report output method, and a report output device that output a report on staff corresponding to an event of a target person such as nursing care.
  • Japan's life expectancy has been remarkably prolonged due to the improvement of living standards, improvement of sanitary conditions, and improvement of medical care standards following the postwar economic growth. For this reason, coupled with a decrease in the birth rate, the aging society has a high aging rate. In such an aging society, an increase in the number of care-requirers and the like who need to take care of care and the like due to illness, injury, and aging is expected.
  • a schedule is set for responding to the target person, such as a care recipient, who needs to be dealt with by the staff, and the staff responds to the target person based on the schedule.
  • the staff member's mobile terminal or the like is notified, and a staff member capable of responding to the nurse call responds from the mobile terminal or the like to accept the response, and responds to the nurse call.
  • Patent Document 1 As a prior art for displaying the results of the staff's response to the target person, there is one described in Patent Document 1 below. That is, a terminal carried by a staff member visiting a care-receiver's home uses a terminal carried by a near-field communication (NFC) tag, which is a recording medium arranged at the visited site, and time information when the terminal is read, and the terminal. Receives the current position detected by. When the difference between the received visited position and the current position is within a predetermined range, the time information at the time of entering and leaving the care-receiver's house is recorded as the staff's action result. Then, a graph of the activity results of the staff, which indicates the time of visit to the care receiver's home, is displayed.
  • NFC near-field communication
  • Patent Literature 1 can display the time period during which the staff is visiting the care-receiver's house, but takes care of factors other than the time required to respond to the care-receiver. There is a problem that it is not possible to properly grasp the load on staff due to the response to the elderly.
  • the present invention has been made to solve such a problem. That is, a report output program, a report output method, and a report output capable of accurately and easily grasping the work situation of each staff by outputting a report in which the load of each staff by responding to the target person is appropriately visualized. It is intended to provide a device.
  • (C) outputting a report, and a report output program for causing a computer to execute a process including:
  • the computer has a communication unit, and the detection parameter is a response time from when the communication unit transmits the notification of the event to when the communication unit receives a response indicating acceptance of the event.
  • the number of steps of the staff who moved to respond to the event, the number of floors the staff moved up and down in the movement to respond to the event, the content of the event, and the staff required to respond to the event The report output program according to (1), which is at least one of business hours.
  • the step (a) selects and obtains a plurality of the detection parameters, and the step (b) performs a process for selecting the event for each staff member based on the obtained plurality of the detection parameters.
  • the step (b) calculates the coefficients corresponding to the detection parameters from the acquired detection parameters other than the business hours, and multiplies the obtained business hours by the coefficient.
  • the step (b) includes a result of visualizing, for each staff member, a sum of the loads according to all the events that have occurred during a predetermined period based on the acquired detection parameters.
  • the report output program according to any one of the above (1) to (4), which creates the report.
  • An acquisition unit that selects and acquires at least one of the detection parameters from a plurality of detection parameters related to the event of the subject corresponding to the staff detected and accumulated, and acquired by the acquisition unit. Based on the detection parameters, an operation unit that creates a report including a result of visualization of the load due to the response to the event for each staff, and an output unit that outputs the report created by the operation unit. Report output device to have.
  • the staff selects and acquires at least one detection parameter from among the detection parameters related to the event corresponding to the staff, and creates a report including a result of visualizing a load for each staff based on the acquired detection parameter. Output. This makes it possible to accurately and easily grasp the work status of each staff by appropriately visualizing the load of each staff caused by responding to the target person.
  • FIG. 3 is a block diagram illustrating a hardware configuration of a detection unit.
  • FIG. 3 is a block diagram illustrating a hardware configuration of a server. It is a figure showing the example of an event list. It is a figure showing an example of an additional information list. It is a figure showing an example of a load coefficient list. It is a figure showing an example of a load coefficient list. It is a figure showing an example of a load coefficient list. It is a figure showing an example of a load coefficient list. It is a figure showing an example of a load coefficient list. It is a figure showing an example of a load coefficient list.
  • FIG. 3 is a block diagram illustrating a hardware configuration of a detection unit.
  • FIG. 3 is a block diagram illustrating a hardware configuration of a server. It is a figure showing the example of an event list. It is a figure showing an example of an additional information list. It is a figure showing an example of a load coefficient list. It is a figure showing an example of a
  • FIG. 13 is a diagram illustrating an example of a report including a graph in which the total of the workload of each staff is visualized.
  • FIG. 3 is a block diagram illustrating a hardware configuration of an administrator terminal.
  • FIG. 2 is a block diagram illustrating a hardware configuration of the mobile terminal.
  • 6 is a flowchart illustrating an operation of the server.
  • FIG. 1 is a diagram illustrating an entire configuration of a watching system
  • FIG. 2 is a diagram illustrating an example of a detection unit installed around a bed in a room of a subject.
  • the watching system 1 includes a plurality of detection units 10, a server 20, an administrator terminal 30, and one or more staff terminals 40. These are communicably connected to each other by wire or wireless via a network 50 such as a LAN (Local Area Network), a telephone network or a data communication network.
  • the network 50 may include a repeater that relays a communication signal, such as a repeater, a bridge, a router, or a cross-connect.
  • the staff terminal 40 is connected to the detection unit 10, the server 20, the administrator terminal 30, and a network 50 such as a wireless LAN (for example, a LAN according to the IEEE 802.11 standard) including an access point 51. They are communicably connected to each other.
  • the server 20 functions as a report output device.
  • the watching system 1 is provided at an appropriate place according to the target person 70.
  • the target person 70 (watching target person) is, for example, a patient who needs nursing due to illness or injury, a cared person who needs nursing care due to a decline in physical ability due to old age, a single person living alone, or a hospital facility. Patients who are hospitalized.
  • the target person 70 may be a person who needs to be detected when a predetermined inconvenient event such as an abnormal state occurs in the person.
  • the watching system 1 is suitably installed in buildings such as welfare facilities for the elderly, hospitals, and dwelling units, depending on the type of the subject 70.
  • the watching system 1 is disposed in a facility building including a plurality of rooms (rooms) in which a plurality of subjects 70 enter and a plurality of rooms including a nurse station.
  • the detection unit 10 is arranged in each living room, which is the observation area of the subject 70.
  • the four detection units 10 are arranged in the rooms of the subjects 70, A, B, C, and D, respectively.
  • the bed 60 is included in the observation area of the detection unit 10.
  • the staff 80 who performs care (eg, care) for the target person 70 such as nursing or nursing carries the staff terminal 40 which is a portable terminal.
  • the server 20 may not be located at the nurse station, and may be an external server unit connected to the network 50.
  • FIG. 3 is a block diagram illustrating a hardware configuration of the detection unit.
  • the detection unit 10 includes a control unit 11, a communication unit 12, a camera 13, a nurse call unit 14, and a voice input / output unit 15, which are interconnected by a bus.
  • the control unit 11 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), and a memory such as a ROM (Read Only Memory), and performs control and arithmetic processing of each unit of the detection unit 10 according to a program.
  • the control unit 11 may further include an HDD (Hard ⁇ Disk ⁇ Drive) as a memory.
  • the communication unit 12 is an interface circuit (for example, a LAN card) for communicating with another device such as the server 20, the administrator terminal 30, or the staff terminal 40 via the network 50.
  • an interface circuit for example, a LAN card
  • the camera 13 is arranged, for example, on the ceiling of a living room or on an upper part of a wall, and captures an area including the bed 60 of the subject 70 as an observation area, and outputs a captured image (image data).
  • image data an image captured by the camera 13 is also simply referred to as a “photographed image”.
  • the captured image includes an image including the subject 70.
  • the captured image includes a still image and a moving image.
  • the camera 13 is a near-infrared camera, a visible light camera may be used instead, or these may be used in combination.
  • the control unit 11 recognizes the behavior of the target person 70 from the image captured by the camera 13.
  • the actions to be recognized include “wake up” from the bed 60, “leaving” away from the bed 60, “fall” falling off the bed 60, and “falling” falling on the floor or the like.
  • the control unit 11 detects a silhouette of an image (hereinafter, referred to as a “human silhouette”) from a plurality of captured images (moving images).
  • the human silhouette can be detected by, for example, extracting a range of pixels having a relatively large difference by a time difference method of extracting a difference between images whose shooting time is before and after.
  • the human silhouette may be detected by a background difference method that extracts a difference between the captured image and the background image. Whether the user is awake, awake, falls, or falls is recognized from the detected person silhouette based on the posture of the subject 70 (for example, standing, sitting, lying down, etc.) and the relative position with respect to the installed object such as the bed 60 in the living room. Is done.
  • Such recognition may be performed by a program processed by the CPU of the control unit 11, or may be performed by a built-in processing circuit.
  • the present invention is not limited to this, and the server 20 may perform all or most of these recognitions, and the control unit 11 may transmit only the captured image to the server 20.
  • the control unit 11 transmits a notification to the effect that an event has occurred to the server 20 or the like.
  • the staff 80 is a person who performs various responses to the target person 70 according to the business. Services can include medical services and nursing care services.
  • the work of the staff 80 is a care work for the target person 70
  • the corresponding contents regarding each event will be described. "Waking up” is determined as an event, and if the determination is within a predetermined time (wake-up time set at the facility (for example, 7 to 8 am), morning care is performed. This morning care includes face washing, tooth brushing assistance, denture wearing, changing clothes assistance, and the like.
  • a wheelchair transfer or walking assistance may be required.
  • an alert may be generated at a fixed time by the nurse call unit 14 or the like.
  • the nurse call unit 14 includes a push-button switch, and detects a nurse call when the switch is pressed by the subject 70. Nurse calls include care calls and the like. The nurse call may be detected by a voice microphone instead of the push button type switch.
  • the control unit 11 sends a notification (nurse call notification) indicating that there is a nurse call via the communication unit 12 and the network 50. It is transmitted to the server 20 or the like.
  • the voice input / output unit 15 is, for example, a speaker and a microphone, and enables voice communication by transmitting and receiving a voice signal to / from the staff terminal 40 or the like via the communication unit 12.
  • the voice input / output unit 15 may be connected to the detection unit 10 via the communication unit 12 as an external device of the detection unit 10.
  • the detection unit 10 also includes a Doppler shift type body motion sensor that transmits and receives microwaves toward the bed 60 and detects Doppler shifts of microwaves caused by body movements (for example, respiratory movements) of the subject 70. May be further provided.
  • the body movement sensor detects body movement of the chest (up and down movement of the chest) accompanying the breathing movement of the subject 70, and disorder of the cycle in the body movement of the chest and movement of the chest that is equal to or less than a preset threshold value. When the amplitude at is detected, it is recognized that there is a slight movement abnormality.
  • the event broadly includes an event in which the staff 80 should deal with the target person.
  • the event includes (1) an event (hereinafter, referred to as a “first event”) to be handled by the staff 80 by issuing (notifying) to the staff 80, and (2) being determined.
  • An event to be handled by the staff 80 at the time (hereinafter, referred to as “second event”) and (3) an event to be handled when the staff 80 notices (hereinafter, referred to as “third event”) are included.
  • the first event includes, for example, a nurse call, and getting up, getting out of bed, falling, falling, and abnormal body movement.
  • the second event includes, for example, a transfer to a wheelchair at the time of eating, bathing, changing clothes, and taking a walk.
  • the third event includes, for example, excretion care at the request of the subject 70 orally, measurement of body temperature when fever is suspected, and response to vomiting.
  • the detection unit 10 transmits (outputs) information on the detected event (hereinafter, also simply referred to as “event information”) and the captured image to the server 20.
  • FIG. 4 is a block diagram illustrating a hardware configuration of the server.
  • the server 20 includes a control unit 21, a communication unit 22, and a storage unit 23.
  • the server 20 may be provided in the same building as the living room for the subject 70, or may be provided in a remote location and connectable via a network.
  • the server 20 may be a cloud server virtually constructed by a plurality of servers arranged on a network such as the Internet.
  • the components are communicably connected to each other by a bus.
  • the control unit 21 functions as an acquisition unit in cooperation with the communication unit 22.
  • the control unit 21 functions as a calculation unit.
  • the control unit 21 also functions as an output unit in cooperation with the communication unit 22.
  • the storage unit 23 stores the program according to the present embodiment.
  • the above components of the server 20 are controlled by the control unit 21 according to a program.
  • the storage unit 23 stores and accumulates various kinds of information on the target person 70 and the staff 80.
  • the information on the subject 70 includes an event list including event information and a care record.
  • the information on the staff 80 includes an additional information list associated with the event information.
  • the additional information list the contents (type) of the event corresponding to the staff 80, the staff corresponding to the event, and a notification of the event (hereinafter, referred to as “event notification”) are transmitted to the staff terminal 40, and then the corresponding event is transmitted to the staff terminal 40.
  • the time until the response of acceptance of the response is received (hereinafter, also referred to as “response time”), the number of steps of the staff 80 who moved to respond to the event, and the movement of the staff 80 moving up and down in response to the event.
  • the number of floors and business hours, which are business hours required to respond to each event are registered.
  • the content of the event, the response time, the number of steps, the number of floors, the business hours, and the like constitute the detection parameters.
  • the additional information list further registers the event ID of the event for which the detection parameter has been detected. By registering the event ID in the additional information list, the additional information list is associated with the event list. Note that the information registered in the additional information list may be registered in the event list. In this case, the additional information list becomes unnecessary.
  • the other control unit 21 and communication unit 22 have the same functions as those of the configuration of the detection unit 10, and thus a detailed description is omitted.
  • FIG. 5 is a diagram showing an example of an event list.
  • FIG. 6 is a diagram illustrating an example of the additional information list.
  • event information of each event that has occurred is registered.
  • an image in which the action corresponding to the event is recognized by the detection unit 10 may be further registered as a tagged image.
  • the tagged image is a captured image associated with the event, for example, a captured image in which the event has been detected.
  • the server 20 may retain the tagged image without erasing it until instructed to do so.
  • an event ID, a room number, a subject, details of an event, and an occurrence date and time are registered as event information in the event list.
  • the name is described as identification information for specifying the target person, but the ID or the room number of the target person may be used.
  • Event IDs 110, 111, and 115 are events of the first event
  • event IDs 112 to 114 are events of the second event
  • event IDs 116 and 117 are events of the third event.
  • the event IDs 115 to 117 are a series of events. As a result of visiting the room of Mr. A in response to the nurse call of the event ID 115, it is necessary to respond to each excretion care event of the event IDs 116 to 117. This is an example.
  • the date and time of occurrence is detected as follows. That is, for the event of the first event, the event is detected by the detection unit 10 or the like, and the date and time when the server 20 receives the notification that the event has occurred is detected as the occurrence date and time. Regarding the event of the second event, acceptance of the response to the event is input by the staff 80 in the staff terminal 40, and the date and time when the server 20 receives the acceptance is detected as the occurrence date and time. As for the event of the third event, information on the occurrence of the event is input to the staff terminal 40, and the date and time when the server 20 receives the information is detected as the occurrence date and time. Note that the event occurrence date and time may be detected by other methods.
  • the event of the second event is scheduled to occur in a schedule table or the like. Therefore, the walking direction and the walking speed of the staff 80 are detected by using the GPS function and the like provided in the staff terminal 40, and the staff 80 moves toward the room of the subject 70 in charge at the scheduled event occurrence date and time.
  • the tendency of traveling straight at a constant speed is analyzed, it is determined that an event has occurred and responded according to a schedule, and the date and time set in the schedule can be detected as the occurrence date and time.
  • the contents of the event, the staff corresponding to the event, the response time, the number of steps, the number of floors, and the business hours are registered in the additional information list.
  • the content of the event is, for example, when the content of the event input by the staff 80 at the input unit 44 (see FIG. 10) of the staff terminal 40 is transmitted from the staff terminal 40 to the server 20 when responding to the event. , Are detected by the server 20.
  • the content of the event may be the content of the event detected by the detection unit 10 as described above. That is, for example, the content of an event such as wake-up, leaving the bed, falling, falling, and abnormal body movement can be detected by the detection unit 10.
  • an event notification is transmitted from the server 20 to the staff terminal 40.
  • the response time is, for example, from the time when the event notification is transmitted to the staff terminal 40 carried by the staff 80 to the time when the staff 80 receives a response of acceptance of the response to the event input at the input unit 44 of the staff terminal 40. This time is detected by measuring the time until a server 20 has a timer or the like.
  • the number of moving steps is measured by, for example, a step number sensor 46 (see FIG. 10) provided in the staff terminal 40, and is detected by the server 20 when the server 20 receives it from the staff terminal 40.
  • the number of steps traveled is detected by the detection unit 10 provided in the room of the subject 70 after the server 20 receives a response indicating acceptance of the event. Can be detected as the number of steps up to.
  • the staff 80 may be detected when the number of persons in the living room detected by the detection unit 10 changes from one person to two persons.
  • the number of steps from when the response to the acceptance of the response to the event is received by the server 20 to when the completion of the response to the event is input by the staff 80 at the staff terminal 40 and received by the server 20 May be detected as the number of steps.
  • the moving floor number is measured by the barometric pressure sensor 47 of the staff terminal 40, and is detected by the server 20 when the server 20 receives it from the staff terminal 40.
  • the number of moving floors can be measured by the barometer because when the staff 80 goes up, the barometric pressure decreases according to the number of floors, and when the staff 80 goes down, the barometric pressure increases according to the number of floors. From the time when the response for accepting the response to the event is input by the staff 80 at the staff terminal 40 and received by the server 20, the completion of the response to the event is input by the staff 80 at the staff terminal 40 and the server 20 It is detected as the time until reception.
  • the response time is not described for the meal event.
  • the meal event is the second event that the staff 80 should respond to at a fixed time, and the event notification is not transmitted when the event occurs. Because.
  • the event IDs 115 to 117 correspond to a series of events, and the staff 80 corresponds to the nurse call event of the event ID 115. This is because they have arrived at his room.
  • the information registered in the additional information list is used to calculate a load (hereinafter, also referred to as a “business load”) for each staff member 80 in response to each event, as described later.
  • a load hereinafter, also referred to as a “business load”
  • the server 20 uses the event information and the captured image received from the detection unit 10 alone or in cooperation with the detection unit 10 to generate an event such as wake-up, wake-up, fall, or nurse call that the detection unit 10 recognizes. It is determined (identified) which target person 70 is related. This determination is made by determining the target person 70 (that is, the resident of the room) associated with the room number where the detection unit 10 that has recognized the event is installed. When the target person 70 carries an IC tag, the determination may be made by reading the IC tag with an RFID reader provided in each living room. When a plurality of subjects 70 are present in one living room in a shared room or the like, the subject 70 may be determined by arranging the detection unit 10 for each bed 60.
  • the server 20 When the server 20 receives the event information from the detection unit 10, the server 20 transmits an event notification including the name of the subject 70 who caused the event, the room number, and the content of the event to the staff terminal 40. To notify the occurrence of the event, and instruct to respond to the event.
  • the server 20 calculates the work load for each staff member 80, and creates and outputs a report in which the work load is visualized for each staff member 80.
  • Reports can be generated and output periodically (eg, daily, or weekly or monthly). The report may be generated and output irregularly each time there is an instruction.
  • the report is transmitted as data to the administrator terminal 30 or the like to display the report on the display unit, or the data is transmitted to an image forming apparatus (not shown) connected to the server 200. And output the report as a printout.
  • the report data can be uploaded to a place (for example, a cloud server) where the report can be viewed from the administrator terminal 30 or the like via a browser. Including.
  • FIGS. 7A to 7D are diagrams showing examples of the load coefficient list.
  • the load coefficient list is a list in which coefficients for calculating the business load are registered for each detection parameter.
  • the load coefficient list is stored in the storage unit 23 of the server 20.
  • FIG. 7A to 7D show coefficients corresponding to the detection parameters of response time, number of steps, number of floors, and contents of the event.
  • the coefficient (business time coefficient) corresponding to the detection parameter is the business hours value (for example, 1 for one hour).
  • FIG. 7A shows a response time coefficient set for each response time.
  • FIG. 7B shows a moving step number coefficient set for each moving step number.
  • FIG. 7C shows the moving floor coefficient set for each moving floor.
  • FIG. 7D shows an event content coefficient set for each event content.
  • the business load for each event is calculated as the product of the business time required for the event and a coefficient corresponding to a detection parameter related to the event.
  • the work load for each event is calculated by the following equation.
  • the coefficient (business time coefficient) according to the detection parameter is the business hours value. Therefore, the task load for each event is calculated as the product of a coefficient corresponding to the task time required for the event (task time coefficient) and a coefficient related to the event and corresponding to a detection parameter other than the task time. You can also.
  • Work load work time (work time coefficient) x response time coefficient x moving step coefficient x moving floor coefficient x event content coefficient
  • the response time detection parameter is not registered for the event IDs 112 to 114, 116, and 117.
  • the work load is calculated by setting the coefficient to 1.
  • the coefficient of the unregistered detection parameter is included in the above equation for calculating the business load as a coefficient by which the business hours are multiplied. You may not.
  • the shorter the response time the larger the response time coefficient. That is, the shorter the response time, the greater the work load. This is because there is a correlation between the response time and the work load because the staff 80 needs to maintain a certain level of tension during working hours in order to respond to the event notification in a short time. Because it is possible.
  • the load for each staff 80 visualized in the report may be the sum of the business loads calculated for all the events corresponding to the staff 80 during a predetermined period (for example, one day).
  • FIG. 8 is a diagram showing an example of a report including a graph in which the total of the workload of each staff is visualized.
  • a report including a graph that is a result of visualizing the sum of the workloads calculated for all the events corresponding to the staff A, the staff B, and the staff C on one day for each staff 80 is shown. It is shown. According to FIG. 8, it is visualized that the load on the staff C is relatively large and the load on the staff B is relatively small so that it can be grasped at a glance.
  • the report may include a table in which the sum of the business loads calculated for all the events corresponding to each day for each staff member is indicated as a number.
  • the sum of the work loads calculated for all the events corresponding to each day by each staff is visualized so as to be recognizable for each staff by the size of the figure and the like. May be included in the report.
  • FIG. 9 is a block diagram illustrating a hardware configuration of the administrator terminal.
  • the administrator terminal 30 is a so-called PC (Personal Computer), and includes a control unit 31, a communication unit 32, a display unit 33, and an input unit 34, which are mutually connected by a bus.
  • the control unit 31 includes a CPU, a RAM, a ROM, and the like as the same configuration as the control unit 11 of the detection unit 10.
  • the communication unit 32 is an interface for various local connections such as a network interface for wired communication based on standards such as Ethernet (registered trademark) and an interface for wireless communication based on standards such as Bluetooth (registered trademark) and IEEE 802.11. The communication with each terminal connected to 50 is performed.
  • the display unit 33 is, for example, a liquid crystal display, and displays various information.
  • the input unit 34 includes a keyboard, a numeric keypad, a mouse, and the like, and inputs various information.
  • the administrator terminal 30 is used as a terminal for the administrator 90.
  • the manager 90 is, for example, a manager who supervises the staff 80.
  • the administrator terminal 30 accepts the specification of the period of occurrence of the event to be output in the report, and transmits it to the server 200.
  • the administrator terminal 30 can receive the specification of the event occurrence period as the specification of the event to be output in the report.
  • the occurrence period of the specified event may be one day (for example, one day yesterday).
  • the specified event occurrence period may be one week, one month, one year, or the like. For example, by specifying one week, an event that occurred in the past week becomes a target of the report.
  • a report is periodically (for example, every day, every week, or every year) output from the server 200, the administrator terminal 30 does not need to accept the specification of the event occurrence period to be reported. Good.
  • the administrator terminal 30 accepts the selection of the detection parameter used for calculating the workload and transmits the selection to the server 200.
  • the administrator terminal 30 displays the detection parameter selection candidates together with buttons for selecting each detection parameter, and can accept the detection parameter selected by the button as the detection parameter used for calculating the workload.
  • FIG. 10 is a block diagram illustrating a hardware configuration of the staff terminal.
  • the staff terminal 40 includes a control unit 41, a wireless communication unit 42, a display unit 43, an input unit 44, a voice input / output unit 45, a step count sensor 46, and a barometric pressure sensor 47, which are interconnected by a bus.
  • the control unit 41 includes a CPU, a RAM, a ROM, and the like as the same configuration as the control unit 11 of the detection unit 10.
  • the wireless communication unit 42 enables wireless communication using a standard such as Wi-Fi or Bluetooth (registered trademark), and wirelessly communicates with each device via the access point 51 or directly.
  • the display unit 43 and the input unit 44 are touch panels, in which a touch sensor as the input unit 44 is superimposed on the display surface of the display unit 43 formed of liquid crystal or the like.
  • Various instructions are displayed to the staff 80 by the display unit 43 and the input unit 44.
  • the display unit 43 and the input unit 44 display an operation screen on which an event notification is displayed, and accept various kinds of operations such as input of a response to acceptance of an event and input of a nursing record through the operation screen. I do.
  • the voice input / output unit 45 is, for example, a speaker and a microphone, and enables voice communication by the staff 80 with another staff terminal 40 via the wireless communication unit 42.
  • the staff terminal 40 can be configured by a portable communication terminal device such as a tablet computer, a smartphone, or a mobile phone.
  • the step number sensor 46 is configured by an acceleration sensor or the like, and detects the number of steps of the staff 80 carrying the staff terminal 40.
  • the barometric pressure sensor 47 is configured by a MEMS (Micro Electro Mechanical Systems) or the like, and detects a barometric pressure around a staff 80 carrying the staff terminal 40.
  • the detection unit 10, the server 20, the administrator terminal 30, and the staff terminal 40 may include components other than the above components, or may not include some of the above components. .
  • FIG. 11 is a flowchart showing the operation of the server. This flowchart can be executed by the control unit 21 according to a program stored in the storage unit 23 of the server 20.
  • the control unit 21 acquires business hours for each event of the target person 70 that has occurred during the predetermined period and that the staff 80 has dealt with (S101).
  • the control unit 21 can acquire the business hours of each event corresponding to each staff 80 by reading the business hours from the additional information list stored in the storage unit 23.
  • a report in which the load of staff C (see FIG. 6) in response to the event is visualized is output.
  • a report in which the load due to the response to the event for each staff 80 is visualized is output.
  • the control unit 21 selects and acquires, from the accumulated detection parameters, a detection parameter to be used for calculating the work load, for each event corresponding to the staff C (S102).
  • the selection of the detection parameter is executed, for example, according to the selection of the detection parameter received at the administrator terminal 30.
  • the control unit 21 can acquire the selected detection parameter by reading it from the additional information list stored in the storage unit 23. For example, the number of moving steps, the number of moving floors, and the content of the event can be selected and acquired from the detection parameters.
  • the description will be made on the assumption that all of the detection parameters registered in the additional information list have been selected.
  • the control unit 21 calculates a coefficient for each detection parameter acquired for each event corresponding to the staff C.
  • the control unit 21 calculates a business load for each event by multiplying the business time by a coefficient calculated from each detection parameter for each event (S103).
  • S103 The event ID 113 and the event ID 115 shown in FIG. 6 will be described as an example.
  • the detection parameters for the event ID 113 are that the content of the event is “meal”, the number of moving steps is “150 steps”, and the number of moving floors is “down one floor”.
  • the working time is 0.8 hours.
  • the coefficients calculated from the respective detection parameters are 1.4, 1.2, and 1.2 for the content of the event, the number of steps, and the number of floors, respectively. is there. Therefore, the business load for the event ID 113 is calculated to be 1.6128 (0.8 (hour) ⁇ 1.4 ⁇ 1.2 ⁇ 1.2) according to the above-described equation (1).
  • the business load is calculated by setting the coefficient to 1. Therefore, for the event ID 113, the business load is calculated by setting the response time coefficient to 1.
  • the detection parameters for the event ID 115 are that the content of the event is “nurse call”, the response time is “5 seconds”, the number of steps is “100”, and the number of floors is “down one floor”.
  • the working time is 0.1 hour. Therefore, the coefficients calculated from the respective detection parameters can be referred to as 1.0, 2.0, 1.2,. 2. For this reason, the work load for the event ID 115 is calculated as 0.288 (0.1 (hour) ⁇ 1.0 ⁇ 2.0 ⁇ 1.2 ⁇ 1.2) by equation (1).
  • the control unit 21 calculates the sum of the business loads of all the events corresponding to the predetermined period for each staff 80 (S104).
  • the staff C corresponds to the events of the event IDs 110, 113, and 115 to 117 during at least one day. For this reason, if the predetermined period is one day and the events corresponding to the predetermined period are only the events with event IDs 110, 113, and 115 to 117, the business load calculated for each event with these event IDs Is calculated as the sum of the business loads.
  • the control unit 21 creates a report including a diagram or a table in which the total (load) of the business loads is visualized for each staff 80 (S105).
  • the report may include a comment by the manager 90 on the work load of each staff member.
  • the comment can be input by the administrator 90 at the administrator terminal 30 and transmitted to the server 200, for example.
  • the control unit 21 outputs the created report (S106).
  • This embodiment has the following effects.
  • the detection parameter is at least one of the response time, the number of steps, the number of floors, the content of the event, and the business hours. This makes it possible to more appropriately and efficiently grasp the load of each staff.
  • calculate the coefficient corresponding to each detection parameter from the detection parameters other than the business hours calculate the load by multiplying the business time by the coefficient, and create a diagram or table in which the calculated load is visualized for each staff member. Create a report that includes This makes it possible to more easily grasp the load of each staff.
  • the configuration of the watching system described above is a main configuration in describing the features of the above embodiment, and is not limited to the above configuration, and can be variously modified within the scope of the claims.
  • the configuration provided in a general watching system is not excluded.
  • the function of the server 20 may be provided in the administrator terminal 30 or the detection unit 10.
  • the detection unit 10, the server 20, the administrator terminal 30, and the staff terminal 40 may each be configured by a plurality of devices, or any one of the plurality of devices may be configured as a single device.
  • steps may be omitted from the flowchart described above, and other steps may be added. Further, some of the steps may be executed simultaneously, or one step may be divided into a plurality of steps and executed.
  • the detection parameters may include parameters other than those exemplified in the embodiment.
  • the working hours may be set as the detection parameter, and the daytime coefficient may be set to 1 and the nighttime coefficient may be set to a value larger than 1.
  • the value of the business time is used for the business time.
  • the coefficient A value other than the business time value may be used as the (business time coefficient). For example, when the contribution of the business hours to the business load is increased, the coefficient may be set to 1.1 or the like for one business hour. When the contribution of the business hours to the business load is reduced, the coefficient can be set to 0.9 or the like for one business hour.
  • the means and method for performing various processes in the watching system 1 according to the above-described embodiment can be realized by either a dedicated hardware circuit or a programmed computer.
  • the above 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.
  • the program recorded on the computer-readable recording medium is usually transferred and stored in a storage unit such as a hard disk.
  • the program may be provided as independent application software, or may be incorporated as one function into software of a device such as a detection unit.

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Abstract

[Problem] To provide a report output program with which it is possible to accurately and easily ascertain the operating conditions of each staff member by outputting a report that suitably visualizes loads that were imposed on each staff member and that were associated with attending to subject persons. [Solution] A report output program for causing a computer to perform a process including: a procedure (a) for selecting and acquiring at least one detection parameter from among a plurality of detection parameters relating to detected and stored events that were associated with subject persons and that were handled by staff member; a procedure (b) for creating, on the basis of the acquired at least one detection parameter, a report that includes the results of visualizing loads that were imposed on each staff member and that were associated with handling events; and a procedure (c) for outputting the created report.

Description

レポート出力プログラム、レポート出力方法、およびレポート出力装置Report output program, report output method, and report output device
 本発明はレポート出力プログラム、レポート出力方法、およびレポート出力装置に関する。特に、本発明は、介護等の対象者のイベントに対応したスタッフに関するレポートを出力するレポート出力プログラム、レポート出力方法、およびレポート出力装置に関する。 The present invention relates to a report output program, a report output method, and a report output device. In particular, the present invention relates to a report output program, a report output method, and a report output device that output a report on staff corresponding to an event of a target person such as nursing care.
 我が国は、戦後の高度経済成長に伴う生活水準の向上、衛生環境の改善、および医療水準の向上等により、長寿命化が顕著となっている。このため、出生率の低下と相まって、高齢化率が高い高齢化社会になっている。このような高齢化社会では、病気、怪我、および加齢などにより、介護等の対応を必要とする要介護者等の増加が想定される。 寿命 Japan's life expectancy has been remarkably prolonged due to the improvement of living standards, improvement of sanitary conditions, and improvement of medical care standards following the postwar economic growth. For this reason, coupled with a decrease in the birth rate, the aging society has a high aging rate. In such an aging society, an increase in the number of care-requirers and the like who need to take care of care and the like due to illness, injury, and aging is expected.
 老人福祉施設や病院等の施設においては、スタッフによる対応が必要な要介護者等の対象者に対する対応のスケジュールが設定され、スタッフはスケジュールに基づいて対象者への対応を行う。また、対象者によるナースコールがあった場合は、各スタッフの携帯端末等に通知され、ナースコールに対応可能なスタッフが、携帯端末等から対応の受諾の応答をし、当該ナースコールに対応する。 施 設 In facilities such as welfare facilities for the elderly and hospitals, a schedule is set for responding to the target person, such as a care recipient, who needs to be dealt with by the staff, and the staff responds to the target person based on the schedule. In addition, when a nurse call is made by the target person, the staff member's mobile terminal or the like is notified, and a staff member capable of responding to the nurse call responds from the mobile terminal or the like to accept the response, and responds to the nurse call. .
 スタッフによる対象者への対応の実績を表示するための先行技術としては、下記特許文献1に記載されたものがある。すなわち、被介護者宅へ訪問するスタッフが携帯する端末により、訪問先に配置された記録媒体であるNFC(Near Field Communication)タグから読み取った訪問先位置および読み取った時の時刻情報、ならびに当該端末により検出された現在位置を受信する。受信した訪問先位置と現在位置との差異が所定の範囲内のときに、スタッフの行動実績として被介護者宅への入退出時の時刻情報を記録する。そして、被介護者宅への訪問時間帯が示された、スタッフの行動実績のグラフを表示する。 先行 As a prior art for displaying the results of the staff's response to the target person, there is one described in Patent Document 1 below. That is, a terminal carried by a staff member visiting a care-receiver's home uses a terminal carried by a near-field communication (NFC) tag, which is a recording medium arranged at the visited site, and time information when the terminal is read, and the terminal. Receives the current position detected by. When the difference between the received visited position and the current position is within a predetermined range, the time information at the time of entering and leaving the care-receiver's house is recorded as the staff's action result. Then, a graph of the activity results of the staff, which indicates the time of visit to the care receiver's home, is displayed.
特開2016-149066号公報JP 2016-149066 A
 しかし、特許文献1に記載された技術は、スタッフが被介護者宅に訪問していた時間帯は表示できるが、被介護者への対応に要した時間以外の要素を考慮して、被介護者への対応によるスタッフへの負荷を適切に把握できないという問題がある。 However, the technology described in Patent Literature 1 can display the time period during which the staff is visiting the care-receiver's house, but takes care of factors other than the time required to respond to the care-receiver. There is a problem that it is not possible to properly grasp the load on staff due to the response to the elderly.
 本発明は、このような問題を解決するためになされたものである。すなわち、対象者に対応することによるスタッフごとの負荷が適切に可視化されたレポートを出力することで、各スタッフの業務状況を正確かつ容易に把握可能なレポート出力プログラム、レポート出力方法、およびレポート出力装置を提供することを目的とする。 The present invention has been made to solve such a problem. That is, a report output program, a report output method, and a report output capable of accurately and easily grasping the work situation of each staff by outputting a report in which the load of each staff by responding to the target person is appropriately visualized. It is intended to provide a device.
 本発明の上記課題は、以下の手段によって解決される。 上 記 The above object of the present invention is solved by the following means.
 (1)検出され、蓄積された、スタッフが対応した対象者のイベントに関する複数の検出パラメーターの中から、少なくとも1つの前記検出パラメーターを選択して取得する手順(a)と、前記手順(a)において取得された前記検出パラメーターに基づいて、前記スタッフごとの前記イベントへの対応による負荷が可視化された結果を含むレポートを作成する手順(b)と、前記手順(b)において作成された前記レポートを出力する手順(c)と、を含む処理をコンピューターに実行させるためのレポート出力プログラム。 (1) a step (a) of selecting and acquiring at least one of the detected parameters from a plurality of detected parameters related to the event of the subject corresponding to the staff detected and accumulated, and the step (a). (B) creating a report including a result of visualizing the load due to the response to the event for each staff, based on the detection parameters acquired in (b), and the report created in (b) (C) outputting a report, and a report output program for causing a computer to execute a process including:
 (2)前記コンピューターは通信部を有し、前記検出パラメーターは、前記イベントの通知を前記通信部が送信してから前記イベントへの対応の受諾の応答を前記通信部が受信するまでの応答時間、前記イベントに対応するために移動した前記スタッフの移動歩数、前記イベントに対応するための移動で前記スタッフが昇降した移動階数、前記イベントの内容、および前記スタッフによる前記イベントへの対応に要した業務時間の少なくともいずれかである、上記(1)に記載のレポート出力プログラム。 (2) The computer has a communication unit, and the detection parameter is a response time from when the communication unit transmits the notification of the event to when the communication unit receives a response indicating acceptance of the event. The number of steps of the staff who moved to respond to the event, the number of floors the staff moved up and down in the movement to respond to the event, the content of the event, and the staff required to respond to the event The report output program according to (1), which is at least one of business hours.
 (3)前記手順(a)は、複数の前記検出パラメーターを選択して取得し、前記手順(b)は、取得された前記複数の前記検出パラメーターに基づいて、前記スタッフごとの前記イベントへの対応による前記負荷が可視化された結果を含む前記レポートを作成する、上記(1)または(2)に記載のレポート出力プログラム。 (3) The step (a) selects and obtains a plurality of the detection parameters, and the step (b) performs a process for selecting the event for each staff member based on the obtained plurality of the detection parameters. The report output program according to (1) or (2), wherein the report including the result of visualizing the load due to the correspondence is created.
 (4)前記手順(b)は、取得された、前記業務時間以外の前記検出パラメーターからそれぞれ前記検出パラメーターに対応する係数を算出し、取得された前記業務時間に前記係数を乗算することで前記負荷を算出し、算出された前記負荷が前記スタッフごとに可視化された結果を含む前記レポートを作成する、上記(2)に記載のレポート出力プログラム。 (4) The step (b) calculates the coefficients corresponding to the detection parameters from the acquired detection parameters other than the business hours, and multiplies the obtained business hours by the coefficient. The report output program according to (2), wherein a load is calculated, and the report including the result of visualizing the calculated load for each staff is created.
 (5)前記手順(b)は、取得された前記検出パラメーターに基づいて、所定の期間に発生したすべての前記イベントへの対応による前記負荷の総和が、前記スタッフごとに可視化された結果を含む前記レポートを作成する、上記(1)~(4)のいずれかに記載のレポート出力プログラム。 (5) The step (b) includes a result of visualizing, for each staff member, a sum of the loads according to all the events that have occurred during a predetermined period based on the acquired detection parameters. The report output program according to any one of the above (1) to (4), which creates the report.
 (6)前記可視化された結果には、図、表、およびグラフの少なくともいずれかが含まれる、上記(1)~(5)のいずれかに記載のレポート出力プログラム。 (6) The report output program according to any one of (1) to (5), wherein the visualized result includes at least one of a figure, a table, and a graph.
 (7)検出され、蓄積された、スタッフが対応した対象者のイベントに関する複数の検出パラメーターの中から、少なくとも1つの前記検出パラメーターを選択して取得する段階(a)と、前記段階(a)において取得された前記検出パラメーターに基づいて、前記スタッフごとの前記イベントへの対応による負荷が可視化された結果を含むレポートを作成する段階(b)と、前記段階(b)において作成された前記レポートを出力する段階(c)と、を有するレポート出力方法。 (7) Step (a) of selecting and acquiring at least one of the detected parameters from a plurality of detected parameters relating to the event of the subject corresponding to the staff detected and accumulated, and (a) (B) creating a report including a result of visualizing the load caused by the response to the event for each staff, based on the detection parameters obtained in (b), and the report created in (b) (C) outputting a report.
 (8)検出され、蓄積された、スタッフが対応した対象者のイベントに関する複数の検出パラメーターの中から、少なくとも1つの前記検出パラメーターを選択して取得する取得部と、前記取得部により取得された前記検出パラメーターに基づいて、前記スタッフごとの前記イベントへの対応による負荷が可視化された結果を含むレポートを作成する演算部と、前記演算部により作成された前記レポートを出力する出力部と、を有するレポート出力装置。 (8) An acquisition unit that selects and acquires at least one of the detection parameters from a plurality of detection parameters related to the event of the subject corresponding to the staff detected and accumulated, and acquired by the acquisition unit. Based on the detection parameters, an operation unit that creates a report including a result of visualization of the load due to the response to the event for each staff, and an output unit that outputs the report created by the operation unit. Report output device to have.
 蓄積された、スタッフが対応したイベントに関する検出パラメーターの中から少なくとも1つの検出パラメーターを選択して取得し、取得した検出パラメーターに基づいてスタッフごとの負荷が可視化された結果を含むレポートを作成して出力する。これにより、対象者に対応することによるスタッフごとの負荷が適切に可視化されることで、各スタッフの業務状況を正確かつ容易に把握できる。 The staff selects and acquires at least one detection parameter from among the detection parameters related to the event corresponding to the staff, and creates a report including a result of visualizing a load for each staff based on the acquired detection parameter. Output. This makes it possible to accurately and easily grasp the work status of each staff by appropriately visualizing the load of each staff caused by responding to the target person.
見守りシステムの全体構成を示す図である。It is a figure showing the whole composition of a watching system. 対象者の部屋に設置された検出部の例を示す図である。It is a figure showing the example of the detecting part installed in the room of the subject. 検出部のハードウェア構成を示すブロック図である。FIG. 3 is a block diagram illustrating a hardware configuration of a detection unit. サーバーのハードウェア構成を示すブロック図である。FIG. 3 is a block diagram illustrating a hardware configuration of a server. イベントリストの例を示す図である。It is a figure showing the example of an event list. 付加情報リストの例を示す図である。It is a figure showing an example of an additional information list. 負荷係数リストの例を示す図である。It is a figure showing an example of a load coefficient list. 負荷係数リストの例を示す図である。It is a figure showing an example of a load coefficient list. 負荷係数リストの例を示す図である。It is a figure showing an example of a load coefficient list. 負荷係数リストの例を示す図である。It is a figure showing an example of a load coefficient list. スタッフごとの業務負荷の総和が可視化されたグラフを含むレポートの例を示す図である。FIG. 13 is a diagram illustrating an example of a report including a graph in which the total of the workload of each staff is visualized. 管理者端末のハードウェア構成を示すブロック図である。FIG. 3 is a block diagram illustrating a hardware configuration of an administrator terminal. 携帯端末のハードウェア構成を示すブロック図である。FIG. 2 is a block diagram illustrating a hardware configuration of the mobile terminal. サーバーの動作を示すフローチャートである。6 is a flowchart illustrating an operation of the server.
 以下、添付した図面を参照して、本発明の実施形態を説明する。なお、図面の説明において同一の要素には同一の符号を付し、重複する説明を省略する。また、図面の寸法比率は、説明の都合上誇張されており、実際の比率とは異なる場合がある。 Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. In the description of the drawings, the same elements will be denoted by the same reference symbols, without redundant description. In addition, the dimensional ratios in the drawings are exaggerated for convenience of description, and may be different from the actual ratios.
 (全体構成)
 図1は見守りシステムの全体構成を示す図であり、図2は対象者の部屋のベッド周辺に設置された検出部の例を示す図である。
(overall structure)
FIG. 1 is a diagram illustrating an entire configuration of a watching system, and FIG. 2 is a diagram illustrating an example of a detection unit installed around a bed in a room of a subject.
 図1に示すように、見守りシステム1は、複数の検出部10、サーバー20、管理者端末30、および1つ以上のスタッフ端末40を備える。これらは、有線や無線によって、LAN(Local Area Network)、電話網またはデータ通信網等のネットワーク50を介して、相互に通信可能に接続される。ネットワーク50は、通信信号を中継するリピーター、ブリッジ、ルーターまたはクロスコネクト等の中継機を備えてもよい。図1に示す例では、スタッフ端末40は、検出部10、サーバー20、および管理者端末30と、アクセスポイント51を含む無線LAN等(例えばIEEE802.11規格に従ったLAN)のネットワーク50によって、相互に通信可能に接続されている。サーバー20は、レポート出力装置として機能する。 As shown in FIG. 1, the watching system 1 includes a plurality of detection units 10, a server 20, an administrator terminal 30, and one or more staff terminals 40. These are communicably connected to each other by wire or wireless via a network 50 such as a LAN (Local Area Network), a telephone network or a data communication network. The network 50 may include a repeater that relays a communication signal, such as a repeater, a bridge, a router, or a cross-connect. In the example shown in FIG. 1, the staff terminal 40 is connected to the detection unit 10, the server 20, the administrator terminal 30, and a network 50 such as a wireless LAN (for example, a LAN according to the IEEE 802.11 standard) including an access point 51. They are communicably connected to each other. The server 20 functions as a report output device.
 見守りシステム1は、対象者70に応じて適宜な場所に配設される。対象者70(見守り対象者)は、例えば、病気や怪我等によって看護を必要とする患者、高齢による身体能力の低下等によって介護を必要とする被介護者、一人暮らしの独居者、または病院施設に入院している患者等である。特に、早期発見および早期対処を可能にする観点から、対象者70は、例えば異常状態等の所定の不都合な事象がその者に生じた場合に、その発見を必要としている者であり得る。このため、見守りシステム1は、対象者70の種類に応じて、老人福祉施設、病院、および住戸等の建物に好適に配設される。図1に示す例では、見守りシステム1は、複数の対象者70が入居する複数の部屋(居室)やナースステーションを含む複数の部屋を備える施設の建物に配置されている。 The watching system 1 is provided at an appropriate place according to the target person 70. The target person 70 (watching target person) is, for example, a patient who needs nursing due to illness or injury, a cared person who needs nursing care due to a decline in physical ability due to old age, a single person living alone, or a hospital facility. Patients who are hospitalized. In particular, from the viewpoint of enabling early detection and early coping, the target person 70 may be a person who needs to be detected when a predetermined inconvenient event such as an abnormal state occurs in the person. For this reason, the watching system 1 is suitably installed in buildings such as welfare facilities for the elderly, hospitals, and dwelling units, depending on the type of the subject 70. In the example illustrated in FIG. 1, the watching system 1 is disposed in a facility building including a plurality of rooms (rooms) in which a plurality of subjects 70 enter and a plurality of rooms including a nurse station.
 検出部10は、対象者70の観察領域であるそれぞれの居室に配置される。図1に示す例では、4つの検出部10が対象者70であるAさん、Bさん、CさんおよびDさんの居室にそれぞれ配置されている。検出部10の観察領域にはベッド60が含まれている。対象者70に対して介護または看護等の対応(例えば、ケア)を行うスタッフ80は、それぞれ携帯端末であるスタッフ端末40を持ち歩いている。ただし、見守りシステム1が備える各構成の位置や個数等は、図1に示す例に限定されない。例えば、サーバー20は、ナースステーションに配置されなくてもよく、ネットワーク50に接続されている外部のサーバーユニットであってもよい。 The detection unit 10 is arranged in each living room, which is the observation area of the subject 70. In the example illustrated in FIG. 1, the four detection units 10 are arranged in the rooms of the subjects 70, A, B, C, and D, respectively. The bed 60 is included in the observation area of the detection unit 10. The staff 80 who performs care (eg, care) for the target person 70 such as nursing or nursing carries the staff terminal 40 which is a portable terminal. However, the position, the number, and the like of each component included in the watching system 1 are not limited to the example illustrated in FIG. For example, the server 20 may not be located at the nurse station, and may be an external server unit connected to the network 50.
 (検出部10)
 図3は、検出部のハードウェア構成を示すブロック図である。同図に示すように、検出部10は、制御部11、通信部12、カメラ13、ナースコール部14、および音声入出力部15を備え、これらはバスによって、相互に接続されている。
(Detection unit 10)
FIG. 3 is a block diagram illustrating a hardware configuration of the detection unit. As shown in FIG. 1, the detection unit 10 includes a control unit 11, a communication unit 12, a camera 13, a nurse call unit 14, and a voice input / output unit 15, which are interconnected by a bus.
 制御部11は、CPU(Central Processing Unit)、およびRAM(Random Access Memory)、ROM(Read Only Memory)等のメモリにより構成され、プログラムに従って検出部10の各部の制御および演算処理を行う。なお、制御部11は、メモリとして、さらにHDD(Hard Disk Drive)を備えてもよい。 The control unit 11 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), and a memory such as a ROM (Read Only Memory), and performs control and arithmetic processing of each unit of the detection unit 10 according to a program. Note that the control unit 11 may further include an HDD (Hard \ Disk \ Drive) as a memory.
 通信部12は、ネットワーク50を介して、例えば、サーバー20、管理者端末30またはスタッフ端末40等の、他の装置と通信するためのインターフェース回路(例えばLANカード等)である。 The communication unit 12 is an interface circuit (for example, a LAN card) for communicating with another device such as the server 20, the administrator terminal 30, or the staff terminal 40 via the network 50.
 カメラ13は、例えば居室の天井、または壁の上部に配置され、観察領域として対象者70のベッド60を含む領域を撮影し、撮影画像(画像データ)を出力する。以下、カメラ13により撮影された画像を、単に「撮影画像」とも称する。撮影画像には対象者70を含む画像が含まれる。撮影画像は、静止画および動画を含む。カメラ13は近赤外線カメラであるが、これに換えて可視光カメラを用いてもよく、これらを併用してもよい。 The camera 13 is arranged, for example, on the ceiling of a living room or on an upper part of a wall, and captures an area including the bed 60 of the subject 70 as an observation area, and outputs a captured image (image data). Hereinafter, an image captured by the camera 13 is also simply referred to as a “photographed image”. The captured image includes an image including the subject 70. The captured image includes a still image and a moving image. Although the camera 13 is a near-infrared camera, a visible light camera may be used instead, or these may be used in combination.
 制御部11は、カメラ13が撮影した撮影画像から、対象者70の行動を認識する。この認識する行動には、ベッド60から起き上がる「起床」、ベッド60から離れる「離床」、ベッド60から転落する「転落」、および床面等に転倒する「転倒」が含まれる。 The control unit 11 recognizes the behavior of the target person 70 from the image captured by the camera 13. The actions to be recognized include “wake up” from the bed 60, “leaving” away from the bed 60, “fall” falling off the bed 60, and “falling” falling on the floor or the like.
 制御部11は、複数の撮影画像(動画像)から画像のシルエット(以下、「人シルエット」と称する)を検出する。人シルエットは、例えば、撮影時刻が前後する画像の差分を抽出する時間差分法により差分が相対的に大きい画素の範囲を抽出することで検出され得る。人シルエットは、撮影画像と背景画像との差分を抽出する背景差分法により検出されてもよい。起床、離床、転倒、転落の別は、検出した人シルエットから対象者70の姿勢(例えば立位、座位および横臥等)、およびベッド60等の居室内の設置物との相対的な位置から認識される。これらの認識は、制御部11のCPUが処理するプログラムにより行ってもよく、組み込み型の処理回路により行うようにしてもよい。また、これに限られずサーバー20側でこれらの認識の全部またはほとんどの処理を行うようにし、制御部11ではサーバー20への撮影画像の送信のみを行うようにしてもよい。制御部11は、いずれかの行動を認識した場合、イベントが発生した旨の通知をサーバー20等に送信する。 The control unit 11 detects a silhouette of an image (hereinafter, referred to as a “human silhouette”) from a plurality of captured images (moving images). The human silhouette can be detected by, for example, extracting a range of pixels having a relatively large difference by a time difference method of extracting a difference between images whose shooting time is before and after. The human silhouette may be detected by a background difference method that extracts a difference between the captured image and the background image. Whether the user is awake, awake, falls, or falls is recognized from the detected person silhouette based on the posture of the subject 70 (for example, standing, sitting, lying down, etc.) and the relative position with respect to the installed object such as the bed 60 in the living room. Is done. Such recognition may be performed by a program processed by the CPU of the control unit 11, or may be performed by a built-in processing circuit. The present invention is not limited to this, and the server 20 may perform all or most of these recognitions, and the control unit 11 may transmit only the captured image to the server 20. When recognizing any of the actions, the control unit 11 transmits a notification to the effect that an event has occurred to the server 20 or the like.
 スタッフ80は、業務に応じた、対象者70への各種の対応を行う者である。業務には、医療業務、介護業務を含み得る。ここで、スタッフ80の業務が、対象者70に対する介護業務である場合に、各イベントに関する対応内容について説明する。イベントとして「起床」を判定し、その判定が所定時間内(施設で設定された起床時間(例えば午前7~8時))であれば、モーニングケアを行う。このモーニングケアには、洗顔、歯磨き介助、義歯装着、着替え介助等が含まれる。また、「離床」のイベントであれば、車椅子移乗、歩行介助が必要となる場合がある。また、検出部10が判定したイベント以外の定期的(定時)なイベントとして、飲料、および食事介助、排泄介助、車椅子移乗、歩行介助、体位変換(褥瘡予防)がある。これらの定期的イベントは、ナースコール部14等により、定時になるとアラートを発生させるようにしてもよい。 The staff 80 is a person who performs various responses to the target person 70 according to the business. Services can include medical services and nursing care services. Here, in the case where the work of the staff 80 is a care work for the target person 70, the corresponding contents regarding each event will be described. "Waking up" is determined as an event, and if the determination is within a predetermined time (wake-up time set at the facility (for example, 7 to 8 am), morning care is performed. This morning care includes face washing, tooth brushing assistance, denture wearing, changing clothes assistance, and the like. In addition, in the event of “leaving out of bed”, a wheelchair transfer or walking assistance may be required. In addition, as a regular (regular) event other than the event determined by the detection unit 10, there are drinks, meal assistance, excretion assistance, wheelchair transfer, walking assistance, and posture change (pressure ulcer prevention). For these regular events, an alert may be generated at a fixed time by the nurse call unit 14 or the like.
 ナースコール部14は、押しボタン式のスイッチを含み、スイッチが対象者70によって押されることでナースコールを検出する。ナースコールにはケアコール等が含まれる。押しボタン式のスイッチに換えて、音声マイクによりナースコールを検出してもよい。ナースコール部14のスイッチが押された場合、すなわち、ナースコールを検出した場合、制御部11は、通信部12およびネットワーク50を介して、ナースコールがあった旨の通知(ナースコール通知)をサーバー20等に送信する。 The nurse call unit 14 includes a push-button switch, and detects a nurse call when the switch is pressed by the subject 70. Nurse calls include care calls and the like. The nurse call may be detected by a voice microphone instead of the push button type switch. When the switch of the nurse call unit 14 is pressed, that is, when a nurse call is detected, the control unit 11 sends a notification (nurse call notification) indicating that there is a nurse call via the communication unit 12 and the network 50. It is transmitted to the server 20 or the like.
 音声入出力部15は、例えばスピーカーとマイクであり、通信部12を介してスタッフ端末40等との間で音声信号を送受信することで音声通話を可能とする。なお、音声入出力部15は検出部10の外部装置として、通信部12を介して検出部10に接続されてもよい。 The voice input / output unit 15 is, for example, a speaker and a microphone, and enables voice communication by transmitting and receiving a voice signal to / from the staff terminal 40 or the like via the communication unit 12. The voice input / output unit 15 may be connected to the detection unit 10 via the communication unit 12 as an external device of the detection unit 10.
 また、検出部10は、ベッド60の方向に向けてマイクロ波を送受信して対象者70の体動(例えば呼吸動)によって生じたマイクロ波のドップラシフトを検出するドップラシフト方式の体動センサーを、さらに備えてもよい。この体動センサーにより、対象者70の呼吸動作に伴う胸部の体動(胸部の上下動)を検出し、その胸部の体動における周期の乱れや予め設定された閾値以下である胸部の体動における振幅を検知すると、微体動異常であると認識する。 The detection unit 10 also includes a Doppler shift type body motion sensor that transmits and receives microwaves toward the bed 60 and detects Doppler shifts of microwaves caused by body movements (for example, respiratory movements) of the subject 70. May be further provided. The body movement sensor detects body movement of the chest (up and down movement of the chest) accompanying the breathing movement of the subject 70, and disorder of the cycle in the body movement of the chest and movement of the chest that is equal to or less than a preset threshold value. When the amplitude at is detected, it is recognized that there is a slight movement abnormality.
 本実施形態においては、イベントには、スタッフ80により対象者への対応が行われるべき事象を広く含む。具体的には、イベントには、(1)スタッフ80への発報(報知)が行われることでスタッフ80が対応すべき事象(以下、「第1事象」と称する)、(2)決まった時間にスタッフ80が対応すべき事象(以下、「第2事象」と称する)、および(3)スタッフ80が気付いた際に対応すべき事象(以下、「第3事象」と称する)が含まれる。第1事象には、例えば、ナースコール、ならびに、起床、離床、転倒、転落、および微体動異常が含まれる。第2事象には、例えば、食事、入浴、着替え、および散策等の際の車椅子への移乗が含まれる。第3事象には、例えば、対象者70の口頭での依頼による排泄ケア、発熱が疑われるときの体温測定、および嘔吐していたときの対応が含まれる。 In the present embodiment, the event broadly includes an event in which the staff 80 should deal with the target person. Specifically, the event includes (1) an event (hereinafter, referred to as a “first event”) to be handled by the staff 80 by issuing (notifying) to the staff 80, and (2) being determined. An event to be handled by the staff 80 at the time (hereinafter, referred to as “second event”) and (3) an event to be handled when the staff 80 notices (hereinafter, referred to as “third event”) are included. . The first event includes, for example, a nurse call, and getting up, getting out of bed, falling, falling, and abnormal body movement. The second event includes, for example, a transfer to a wheelchair at the time of eating, bathing, changing clothes, and taking a walk. The third event includes, for example, excretion care at the request of the subject 70 orally, measurement of body temperature when fever is suspected, and response to vomiting.
 検出部10は、検出したイベントの情報(以下、単に「イベント情報」とも称する)および撮影画像をサーバー20へ送信(出力)する。 The detection unit 10 transmits (outputs) information on the detected event (hereinafter, also simply referred to as “event information”) and the captured image to the server 20.
 (サーバー20)
 図4は、サーバーのハードウェア構成を示すブロック図である。
(Server 20)
FIG. 4 is a block diagram illustrating a hardware configuration of the server.
 サーバー20は、制御部21、通信部22、および記憶部23を備える。サーバー20は、対象者70用の居室と同じ建物内に設けられてもよく、遠隔地に設けられてネットワークを介して接続可能であってもよい。例えば、サーバー20は、インターネット等のネットワーク上に配置された複数のサーバーによって仮想的に構築されるクラウドサーバーであってもよい。各構成は、バスによって、相互に通信可能に接続されている。制御部21は、通信部22と協働することで取得部として機能する。制御部21は、演算部として機能する。また制御部21は、通信部22と協働することで出力部としても機能する。 The server 20 includes a control unit 21, a communication unit 22, and a storage unit 23. The server 20 may be provided in the same building as the living room for the subject 70, or may be provided in a remote location and connectable via a network. For example, the server 20 may be a cloud server virtually constructed by a plurality of servers arranged on a network such as the Internet. The components are communicably connected to each other by a bus. The control unit 21 functions as an acquisition unit in cooperation with the communication unit 22. The control unit 21 functions as a calculation unit. The control unit 21 also functions as an output unit in cooperation with the communication unit 22.
 記憶部23は、本実施形態に係るプログラムを記憶する。サーバー20の上記構成要素は、プログラムに従い、制御部21により制御される。記憶部23は、対象者70やスタッフ80に関する各種情報を記憶し蓄積する。対象者70に関する情報には、イベント情報を含むイベントリストや、介護記録が含まれる。スタッフ80に関する情報には、イベント情報に対応付けされた付加情報リストが含まれる。付加情報リストには、スタッフ80が対応したイベントの内容(種類)、イベントに対応したスタッフ、イベントの通知(以下、「イベント通知」と称する)をスタッフ端末40へ送信してから当該イベントへの対応の受諾の応答を受信するまでの時間(以下、「応答時間」とも称する)、イベントに対応するために移動したスタッフ80の移動歩数、イベントに対応するための移動でスタッフ80が昇降した移動階数、および各イベントへの対応に要した業務上の時間である業務時間等が登録される。イベントの内容、応答時間、移動歩数、移動階数、および業務時間等は検出パラメーターを構成する。付加情報リストには、検出パラメーターが検出されたイベントのイベントIDがさらに登録される。付加情報リストにイベントIDが登録されることで、付加情報リストは、イベントリストと対応付けされている。なお、付加情報リストに登録される情報は、イベントリストに登録されてもよく、この場合は、付加情報リストは不要となる。その他の制御部21、および通信部22は、検出部10の各構成と同様の機能を有するため、詳細な説明を省略する。 The storage unit 23 stores the program according to the present embodiment. The above components of the server 20 are controlled by the control unit 21 according to a program. The storage unit 23 stores and accumulates various kinds of information on the target person 70 and the staff 80. The information on the subject 70 includes an event list including event information and a care record. The information on the staff 80 includes an additional information list associated with the event information. In the additional information list, the contents (type) of the event corresponding to the staff 80, the staff corresponding to the event, and a notification of the event (hereinafter, referred to as “event notification”) are transmitted to the staff terminal 40, and then the corresponding event is transmitted to the staff terminal 40. The time until the response of acceptance of the response is received (hereinafter, also referred to as “response time”), the number of steps of the staff 80 who moved to respond to the event, and the movement of the staff 80 moving up and down in response to the event The number of floors and business hours, which are business hours required to respond to each event, are registered. The content of the event, the response time, the number of steps, the number of floors, the business hours, and the like constitute the detection parameters. The additional information list further registers the event ID of the event for which the detection parameter has been detected. By registering the event ID in the additional information list, the additional information list is associated with the event list. Note that the information registered in the additional information list may be registered in the event list. In this case, the additional information list becomes unnecessary. The other control unit 21 and communication unit 22 have the same functions as those of the configuration of the detection unit 10, and thus a detailed description is omitted.
 図5は、イベントリストの例を示す図である。図6は、付加情報リストの例を示す図である。 FIG. 5 is a diagram showing an example of an event list. FIG. 6 is a diagram illustrating an example of the additional information list.
 イベントリストには、発生した各イベントのイベント情報が登録される。イベントリストには、検出部10によりイベントに対応する行動が認識された画像が、タグ付け画像としてさらに登録され得る。タグ付け画像は、イベントに関連付けられた撮影画像であり、例えばイベントが検出された撮影画像である。サーバー20は、消去の指示があるまでタグ付け画像を消去せず保持し得る。 イ ベ ン ト In the event list, event information of each event that has occurred is registered. In the event list, an image in which the action corresponding to the event is recognized by the detection unit 10 may be further registered as a tagged image. The tagged image is a captured image associated with the event, for example, a captured image in which the event has been detected. The server 20 may retain the tagged image without erasing it until instructed to do so.
 図5の例においては、イベントリストには、イベント情報として、イベントID、部屋番号、対象者、イベントの内容、および発生日時(イベント検出時刻)が登録されている。対象者の欄には、対象者を特定する識別情報として氏名を記載しているが、対象者のIDや部屋番号を用いてもよい。 In the example of FIG. 5, an event ID, a room number, a subject, details of an event, and an occurrence date and time (event detection time) are registered as event information in the event list. In the column of the target person, the name is described as identification information for specifying the target person, but the ID or the room number of the target person may be used.
 イベントID110、111、115は第1事象のイベントであり、イベントID112~114は第2事象のイベントであり、イベントID116、117は第3事象のイベントである。なお、イベントID115~117は、一連のイベントであり、イベントID115のナースコールに対応してAさんの居室を訪問した結果、イベントID116~117の各排泄ケアのイベントへの対応が必要となったという例である。 Event IDs 110, 111, and 115 are events of the first event, event IDs 112 to 114 are events of the second event, and event IDs 116 and 117 are events of the third event. The event IDs 115 to 117 are a series of events. As a result of visiting the room of Mr. A in response to the nurse call of the event ID 115, it is necessary to respond to each excretion care event of the event IDs 116 to 117. This is an example.
 発生日時は次のように検出される。すなわち、第1事象のイベントについては、検出部10等によりイベントが検出され、イベントがあった旨の通知をサーバー20が受信した日時が発生日時として検出される。第2事象のイベントについては、スタッフ端末40においてスタッフ80によりイベントへの対応の受諾の入力がされ、当該受諾をサーバー20が受信した日時が発生日時として検出される。第3事象のイベントについては、スタッフ端末40においてイベント発生の情報が入力され、当該情報をサーバー20が受信した日時が発生日時として検出される。なお、イベント発生日時は、その他の方法で検出されてもよい。例えば、第2事象のイベントについては、スケジュール表等でイベントの発生が予定されている。そこで、スタッフ端末40に備えられたGPS機能等を利用して、スタッフ80の歩行方向および歩行速度を検出し、イベント発生予定日時に、スタッフ80が、担当する対象者70の居室の方向へ、一定の速度で直進している傾向が解析された場合は、スケジュール通りにイベントが発生し対応したとして、スケジュールに設定された日時を発生日時として検出し得る。 The date and time of occurrence is detected as follows. That is, for the event of the first event, the event is detected by the detection unit 10 or the like, and the date and time when the server 20 receives the notification that the event has occurred is detected as the occurrence date and time. Regarding the event of the second event, acceptance of the response to the event is input by the staff 80 in the staff terminal 40, and the date and time when the server 20 receives the acceptance is detected as the occurrence date and time. As for the event of the third event, information on the occurrence of the event is input to the staff terminal 40, and the date and time when the server 20 receives the information is detected as the occurrence date and time. Note that the event occurrence date and time may be detected by other methods. For example, the event of the second event is scheduled to occur in a schedule table or the like. Therefore, the walking direction and the walking speed of the staff 80 are detected by using the GPS function and the like provided in the staff terminal 40, and the staff 80 moves toward the room of the subject 70 in charge at the scheduled event occurrence date and time. When the tendency of traveling straight at a constant speed is analyzed, it is determined that an event has occurred and responded according to a schedule, and the date and time set in the schedule can be detected as the occurrence date and time.
 図6の例においては、付加情報リストに、イベントの内容、イベントに対応したスタッフ、応答時間、移動歩数、移動階数、および業務時間が登録されている。イベントの内容は、例えば、イベントに対応する際に、スタッフ80によりスタッフ端末40の入力部44(図10参照)において入力されるイベントの内容が、スタッフ端末40からサーバー20へ送信されることで、サーバー20により検出される。また、イベントの内容は、上述したように、検出部10により検出されたイベントの内容であり得る。すなわち、例えば、起床、離床、転倒、転落、および微体動異常といったイベントの内容は、検出部10により検出され得る。イベントが検出されたときは、イベント通知がサーバー20からスタッフ端末40へ送信される。応答時間は、例えば、スタッフ80が携帯するスタッフ端末40へイベント通知が送信された時から、スタッフ80によりスタッフ端末40の入力部44において入力されるイベントへの対応の受諾の応答が受信されるまでの時間をサーバー20が備えるタイマー等で計測することで検出される。移動歩数は、例えば、スタッフ端末40が備える歩数センサー46(図10参照)により計測され、サーバー20がスタッフ端末40から受信することでサーバー20により検出される。移動歩数は、例えば、ナースコールのイベントの場合は、イベントへの対応の受諾の応答がサーバー20により受信されてから、スタッフ80が対象者70の居室に備えられた検出部10により検出されるまでの歩数として検出され得る。検出部10により検出された居室内の人数が1人から2人に変化したことで、スタッフ80が検出されてもよい。食事等のイベントの場合は、イベントへの対応の受諾の応答がサーバー20により受信されてから、イベントへの対応の完了がスタッフ端末40においてスタッフ80により入力されサーバー20により受信されるまでの歩数が移動歩数として検出され得る。移動階数は、スタッフ端末40の気圧センサー47により計測され、サーバー20がスタッフ端末40から受信することでサーバー20により検出される。移動階数が気圧計により計測できるのは、スタッフ80が昇階する場合は昇階数に応じて気圧が低くなり、スタッフ80が降階する場合は降階数に応じて気圧が高くなるからである。業務時間は、イベントへの対応を受諾する応答がスタッフ端末40においてスタッフ80により入力されサーバー20により受信された時から、イベントへの対応の完了がスタッフ端末40においてスタッフ80により入力されサーバー20により受信された時までの時間として検出される。 In the example of FIG. 6, the contents of the event, the staff corresponding to the event, the response time, the number of steps, the number of floors, and the business hours are registered in the additional information list. The content of the event is, for example, when the content of the event input by the staff 80 at the input unit 44 (see FIG. 10) of the staff terminal 40 is transmitted from the staff terminal 40 to the server 20 when responding to the event. , Are detected by the server 20. Further, the content of the event may be the content of the event detected by the detection unit 10 as described above. That is, for example, the content of an event such as wake-up, leaving the bed, falling, falling, and abnormal body movement can be detected by the detection unit 10. When an event is detected, an event notification is transmitted from the server 20 to the staff terminal 40. The response time is, for example, from the time when the event notification is transmitted to the staff terminal 40 carried by the staff 80 to the time when the staff 80 receives a response of acceptance of the response to the event input at the input unit 44 of the staff terminal 40. This time is detected by measuring the time until a server 20 has a timer or the like. The number of moving steps is measured by, for example, a step number sensor 46 (see FIG. 10) provided in the staff terminal 40, and is detected by the server 20 when the server 20 receives it from the staff terminal 40. For example, in the case of a nurse call event, the number of steps traveled is detected by the detection unit 10 provided in the room of the subject 70 after the server 20 receives a response indicating acceptance of the event. Can be detected as the number of steps up to. The staff 80 may be detected when the number of persons in the living room detected by the detection unit 10 changes from one person to two persons. In the case of an event such as a meal, the number of steps from when the response to the acceptance of the response to the event is received by the server 20 to when the completion of the response to the event is input by the staff 80 at the staff terminal 40 and received by the server 20 May be detected as the number of steps. The moving floor number is measured by the barometric pressure sensor 47 of the staff terminal 40, and is detected by the server 20 when the server 20 receives it from the staff terminal 40. The number of moving floors can be measured by the barometer because when the staff 80 goes up, the barometric pressure decreases according to the number of floors, and when the staff 80 goes down, the barometric pressure increases according to the number of floors. From the time when the response for accepting the response to the event is input by the staff 80 at the staff terminal 40 and received by the server 20, the completion of the response to the event is input by the staff 80 at the staff terminal 40 and the server 20 It is detected as the time until reception.
 図6において、食事のイベントについて応答時間が記載されていないのは、食事のイベントは、決まった時間にスタッフ80が対応すべき第2事象であり、イベントが発生したときにイベント通知が送信されないからである。また、イベントID116~117に関して移動歩数が0歩なのは、上述したように、イベントID115~117は、一連のイベントであり、イベントID115のナースコールのイベントに対応したことで、スタッフ80は対象者70の居室に到着しているからである。 In FIG. 6, the response time is not described for the meal event. The meal event is the second event that the staff 80 should respond to at a fixed time, and the event notification is not transmitted when the event occurs. Because. As described above, the event IDs 115 to 117 correspond to a series of events, and the staff 80 corresponds to the nurse call event of the event ID 115. This is because they have arrived at his room.
 付加情報リストに登録された情報は、後述するように、各イベントへの対応によるスタッフ80ごとの負荷(以下、「業務負荷」とも称する)を算出するために用いられる。 The information registered in the additional information list is used to calculate a load (hereinafter, also referred to as a “business load”) for each staff member 80 in response to each event, as described later.
 サーバー20は、検出部10から受信したイベント情報および撮影画像を単独で、または検出部10と協働することで、検出部10が認識した、起床、離床、転倒、ナースコール等のイベントが、どの対象者70に関するものであるかを判定(識別)する。この判定は、イベントを認識した検出部10が設置されている居室番号から、これに対応付けられている対象者70(すなわち、居室の入居者)を判定することで行う。なお、対象者70の判定は、対象者70がICタグを携帯している場合には、このICタグを各居室に設けたRFIDリーダーで読み取ることにより、判定してもよい。なお、相部屋等で、1つの居室に複数の対象者70が存在する場合には、ベッド60ごとに検出部10を配置することで、対象者70を判定してもよい。 The server 20 uses the event information and the captured image received from the detection unit 10 alone or in cooperation with the detection unit 10 to generate an event such as wake-up, wake-up, fall, or nurse call that the detection unit 10 recognizes. It is determined (identified) which target person 70 is related. This determination is made by determining the target person 70 (that is, the resident of the room) associated with the room number where the detection unit 10 that has recognized the event is installed. When the target person 70 carries an IC tag, the determination may be made by reading the IC tag with an RFID reader provided in each living room. When a plurality of subjects 70 are present in one living room in a shared room or the like, the subject 70 may be determined by arranging the detection unit 10 for each bed 60.
 サーバー20は、検出部10からイベント情報を受信したときは、イベントを発生させた対象者70の氏名、部屋番号、およびイベントの内容を含むイベント通知をスタッフ端末40へ送信することで、スタッフ80にイベントの発生を報知するとともに、イベントへの対応を指示する。 When the server 20 receives the event information from the detection unit 10, the server 20 transmits an event notification including the name of the subject 70 who caused the event, the room number, and the content of the event to the staff terminal 40. To notify the occurrence of the event, and instruct to respond to the event.
 サーバー20は、スタッフ80ごとの業務負荷を算出し、業務負荷がスタッフ80ごとに可視化されるレポートを作成して出力する。レポートは定期的(例えば、毎日、または、週もしくは月ごと)に作成され、出力され得る。レポートは、指示があるごとに、不定期に作成され、出力されてもよい。レポートを出力することには、レポートをデータとして管理者端末30等へ送信して表示部にレポートを表示させることや、サーバー200に接続された画像形成装置(図示せず)へデータを送信して印刷物としてレポートを出力させることを含む。また、管理者端末30等から施設のウェブサイトへアクセスすることで、ブラウザーを介して管理者端末30等からレポートを視認できる場所(例えば、クラウドサーバー)へ当該レポートのデータをアップロードすること等も含む。 The server 20 calculates the work load for each staff member 80, and creates and outputs a report in which the work load is visualized for each staff member 80. Reports can be generated and output periodically (eg, daily, or weekly or monthly). The report may be generated and output irregularly each time there is an instruction. To output the report, the report is transmitted as data to the administrator terminal 30 or the like to display the report on the display unit, or the data is transmitted to an image forming apparatus (not shown) connected to the server 200. And output the report as a printout. In addition, by accessing the website of the facility from the administrator terminal 30 or the like, the report data can be uploaded to a place (for example, a cloud server) where the report can be viewed from the administrator terminal 30 or the like via a browser. Including.
 図7A~図7Dは、負荷係数リストの例を示す図である。負荷係数リストは、業務負荷を算出するための係数が検出パラメーターごとに登録されたリストである。負荷係数リストは、サーバー20の記憶部23に記憶される。 FIGS. 7A to 7D are diagrams showing examples of the load coefficient list. The load coefficient list is a list in which coefficients for calculating the business load are registered for each detection parameter. The load coefficient list is stored in the storage unit 23 of the server 20.
 図7A~図7Dの例においては、検出パラメーターである、応答時間、移動歩数、移動階数、およびイベントの内容の、それぞれに対応する係数が示されている。なお、業務時間については、検出パラメーターに対応する係数(業務時間係数)は業務時間の値(例えば、1時間であれば1)とされる。図7Aには、応答時間ごとに設定された応答時間係数が示されている。図7Bには、移動歩数ごとに設定された移動歩数係数が示されている。図7Cには、移動階数ごとに設定された移動階数係数が示されている。図7Dには、イベントの内容ごとに設定されたイベント内容係数が示されている。 7A to 7D show coefficients corresponding to the detection parameters of response time, number of steps, number of floors, and contents of the event. For the business hours, the coefficient (business time coefficient) corresponding to the detection parameter is the business hours value (for example, 1 for one hour). FIG. 7A shows a response time coefficient set for each response time. FIG. 7B shows a moving step number coefficient set for each moving step number. FIG. 7C shows the moving floor coefficient set for each moving floor. FIG. 7D shows an event content coefficient set for each event content.
 イベントごとの業務負荷は、イベントに要した業務時間と当該イベントに関する検出パラメーターに対応する係数との積として算出される。具体的には、下記式によりイベントごとの業務負荷を算出する。なお、上述したように、業務時間については、検出パラメーターに応じた係数(業務時間係数)は業務時間の値とされる。従って、イベントごとの業務負荷は、イベントに要した業務時間に対応する係数(業務時間係数)と、当該イベントに関する、当該業務時間以外の検出パラメーターに対応する係数との積として算出されると言うこともできる。 The business load for each event is calculated as the product of the business time required for the event and a coefficient corresponding to a detection parameter related to the event. Specifically, the work load for each event is calculated by the following equation. As described above, for the business hours, the coefficient (business time coefficient) according to the detection parameter is the business hours value. Therefore, the task load for each event is calculated as the product of a coefficient corresponding to the task time required for the event (task time coefficient) and a coefficient related to the event and corresponding to a detection parameter other than the task time. You can also.
 業務負荷=業務時間(業務時間係数)×応答時間係数×移動歩数係数×移動階数係数×イベント内容係数
 イベントによっては、応答時間、移動歩数、移動階数、および内容係数のうちのいずれかの検出パラメーターが、付加情報リストに登録されていない場合がある(図6の例においては、イベントID112~114、116、117に関して、応答時間の検出パラメーターが登録されていない)。この場合、登録されていない検出パラメーターについては、係数を1として業務負荷が算出される。なお、この場合、負荷情報リストにいずれかの検出パラメーターが登録されていないイベントに関しては、業務負荷を算出するための上記式に、登録されていない検出パラメーターの係数を業務時間に乗じる係数として含めないとしてもよい。
Work load = work time (work time coefficient) x response time coefficient x moving step coefficient x moving floor coefficient x event content coefficient Depending on the event, one of the detection parameters of response time, moving steps, moving floor, and content coefficient May not be registered in the additional information list (in the example of FIG. 6, the response time detection parameter is not registered for the event IDs 112 to 114, 116, and 117). In this case, for a detection parameter that has not been registered, the work load is calculated by setting the coefficient to 1. In this case, for an event in which any of the detection parameters is not registered in the load information list, the coefficient of the unregistered detection parameter is included in the above equation for calculating the business load as a coefficient by which the business hours are multiplied. You may not.
 なお、図7Aにおいて、応答時間が短いほど応答時間係数が大きくなっている。すなわち、応答時間が短いほど業務負荷が大きくなるものとされている。これは、スタッフ80が短い時間でイベント通知に対し応答するためには、勤務時間中にある程度の緊張感を持続する必要があることから、応答時間と業務負荷との間に相関関係があると考えられるからである。 In FIG. 7A, the shorter the response time, the larger the response time coefficient. That is, the shorter the response time, the greater the work load. This is because there is a correlation between the response time and the work load because the staff 80 needs to maintain a certain level of tension during working hours in order to respond to the event notification in a short time. Because it is possible.
 レポートにおいて可視化されるスタッフ80ごとの負荷は、所定期間(例えば1日)にスタッフ80がそれぞれ対応したすべてのイベントについて算出された業務負荷の総和とし得る。 The load for each staff 80 visualized in the report may be the sum of the business loads calculated for all the events corresponding to the staff 80 during a predetermined period (for example, one day).
 図8は、スタッフごとの業務負荷の総和が可視化されたグラフを含むレポートの例を示す図である。 FIG. 8 is a diagram showing an example of a report including a graph in which the total of the workload of each staff is visualized.
 図8の例においては、スタッフA、スタッフB、およびスタッフCが1日にそれぞれ対応したすべてのイベントについて算出された業務負荷の総和がスタッフ80ごとに可視化された結果であるグラフを含むレポートが示されている。図8によれば、スタッフCに対する負荷が相対的に大きく、スタッフBに対する負荷が相対的に小さくなっていることが、一見して把握可能に可視化されている。なお、図8の例に示すグラフに代えて、各スタッフが1日にそれぞれ対応したすべてのイベントについて算出された業務負荷の総和が数字として示された表がレポートに含まれてもよい。また、図8の例に示すグラフに代えて、各スタッフが1日にそれぞれ対応したすべてのイベントについて算出された業務負荷の総和が、スタッフごとに、図形の大きさ等により認識可能に可視化された図がレポートに含まれてもよい。 In the example of FIG. 8, a report including a graph that is a result of visualizing the sum of the workloads calculated for all the events corresponding to the staff A, the staff B, and the staff C on one day for each staff 80 is shown. It is shown. According to FIG. 8, it is visualized that the load on the staff C is relatively large and the load on the staff B is relatively small so that it can be grasped at a glance. Instead of the graph shown in the example of FIG. 8, the report may include a table in which the sum of the business loads calculated for all the events corresponding to each day for each staff member is indicated as a number. In addition, instead of the graph shown in the example of FIG. 8, the sum of the work loads calculated for all the events corresponding to each day by each staff is visualized so as to be recognizable for each staff by the size of the figure and the like. May be included in the report.
 (管理者端末30)
 図9は、管理者端末のハードウェア構成を示すブロック図である。管理者端末30は、いわゆるPC(Personal Computer)であり、制御部31、通信部32、表示部33、および入力部34を備え、これらはバスにより相互に接続される。制御部31は、検出部10の制御部11と同様の構成として、CPU、RAM、ROM等を備える。
(Administrator terminal 30)
FIG. 9 is a block diagram illustrating a hardware configuration of the administrator terminal. The administrator terminal 30 is a so-called PC (Personal Computer), and includes a control unit 31, a communication unit 32, a display unit 33, and an input unit 34, which are mutually connected by a bus. The control unit 31 includes a CPU, a RAM, a ROM, and the like as the same configuration as the control unit 11 of the detection unit 10.
 通信部32は、イーサネット(登録商標)等の規格による有線通信のネットワークインターフェースや、Bluetooth(登録商標)、IEEE802.11等の規格による無線通信のインターフェース等の各種ローカル接続向けのインターフェースであり、ネットワーク50に接続した各端末との通信を行う。 The communication unit 32 is an interface for various local connections such as a network interface for wired communication based on standards such as Ethernet (registered trademark) and an interface for wireless communication based on standards such as Bluetooth (registered trademark) and IEEE 802.11. The communication with each terminal connected to 50 is performed.
 表示部33は、例えば液晶ディスプレイであり、各種情報を表示する。 The display unit 33 is, for example, a liquid crystal display, and displays various information.
 入力部34は、キーボード、テンキー、マウス等を備えており、各種情報の入力を行う。 The input unit 34 includes a keyboard, a numeric keypad, a mouse, and the like, and inputs various information.
 本実施形態では、管理者端末30は、管理者90用の端末として用いられる。管理者90は、例えば、スタッフ80を統括するマネージャーである。 In the present embodiment, the administrator terminal 30 is used as a terminal for the administrator 90. The manager 90 is, for example, a manager who supervises the staff 80.
 管理者端末30は、出力するレポートの対象とするイベントの発生期間の指定を受け付け、サーバー200へ送信する。管理者端末30は、例えば、イベントの発生期間の指定を、出力するレポートの対象とするイベントの指定として受け付け得る。指定されるイベントの発生期間は、1日(例えば、昨日1日)とし得る。指定されるイベントの発生期間は、1週間、1月、1年等であってもよい。例えば、1週間と指定されることで、過去1週間に発生したイベントがレポートの対象となる。なお、レポートが定期的に(例えば、毎日、毎週、または毎年)サーバー200から出力される場合等においては、管理者端末30は、レポートの対象とするイベントの発生期間の指定を受け付けなくてもよい。 (4) The administrator terminal 30 accepts the specification of the period of occurrence of the event to be output in the report, and transmits it to the server 200. For example, the administrator terminal 30 can receive the specification of the event occurrence period as the specification of the event to be output in the report. The occurrence period of the specified event may be one day (for example, one day yesterday). The specified event occurrence period may be one week, one month, one year, or the like. For example, by specifying one week, an event that occurred in the past week becomes a target of the report. In a case where a report is periodically (for example, every day, every week, or every year) output from the server 200, the administrator terminal 30 does not need to accept the specification of the event occurrence period to be reported. Good.
 管理者端末30は、業務負荷の算出に用いる検出パラメーターの選択を受け付け、サーバー200へ送信する。管理者端末30は、検出パラメーターの選択候補を、各検出パラメーターを選択するためのボタンとともに表示し、ボタンにより選択された検出パラメーターを、業務負荷の算出に用いる検出パラメーターとして受け付け得る。 (4) The administrator terminal 30 accepts the selection of the detection parameter used for calculating the workload and transmits the selection to the server 200. The administrator terminal 30 displays the detection parameter selection candidates together with buttons for selecting each detection parameter, and can accept the detection parameter selected by the button as the detection parameter used for calculating the workload.
 (スタッフ端末40)
 図10は、スタッフ端末のハードウェア構成を示すブロック図である。スタッフ端末40は、制御部41、無線通信部42、表示部43、入力部44、音声入出力部45、歩数センサー46、および気圧センサー47を備え、これらはバスにより相互に接続される。制御部41は、検出部10の制御部11と同様の構成として、CPU、RAM、ROM等を備える。無線通信部42により、Wi-Fi、Bluetooth(登録商標)等の規格を用いた無線通信が可能であり、アクセスポイント51を経由して、または直接的に各装置と無線通信する。表示部43、および入力部44は、タッチパネルであり、液晶等で構成される表示部43の表示面に、入力部44としてのタッチセンサーを重畳させたものである。表示部43、入力部44によって、スタッフ80に対して、各種指示が表示される。また、表示部43、入力部44によって、イベント通知を表示した操作画面を表示したり、操作画面を通じてイベントへの対応の受諾の応答の入力や、介護記録の入力等の各種の操作を受け付けたりする。音声入出力部45は、例えばスピーカーとマイクであり、無線通信部42を介して他のスタッフ端末40との間でスタッフ80による音声通話を可能にする。スタッフ端末40は、例えば、タブレット型コンピューター、スマートフォンまたは携帯電話等の、持ち運び可能な通信端末機器によって構成できる。歩数センサー46は、加速度センサー等により構成され、スタッフ端末40を携帯するスタッフ80の歩数を検出する。気圧センサー47は、MEMS(Micro Electro Mechanical Systems)等により構成され、スタッフ端末40を携帯するスタッフ80の周辺の気圧を検出する。
(Staff terminal 40)
FIG. 10 is a block diagram illustrating a hardware configuration of the staff terminal. The staff terminal 40 includes a control unit 41, a wireless communication unit 42, a display unit 43, an input unit 44, a voice input / output unit 45, a step count sensor 46, and a barometric pressure sensor 47, which are interconnected by a bus. The control unit 41 includes a CPU, a RAM, a ROM, and the like as the same configuration as the control unit 11 of the detection unit 10. The wireless communication unit 42 enables wireless communication using a standard such as Wi-Fi or Bluetooth (registered trademark), and wirelessly communicates with each device via the access point 51 or directly. The display unit 43 and the input unit 44 are touch panels, in which a touch sensor as the input unit 44 is superimposed on the display surface of the display unit 43 formed of liquid crystal or the like. Various instructions are displayed to the staff 80 by the display unit 43 and the input unit 44. In addition, the display unit 43 and the input unit 44 display an operation screen on which an event notification is displayed, and accept various kinds of operations such as input of a response to acceptance of an event and input of a nursing record through the operation screen. I do. The voice input / output unit 45 is, for example, a speaker and a microphone, and enables voice communication by the staff 80 with another staff terminal 40 via the wireless communication unit 42. The staff terminal 40 can be configured by a portable communication terminal device such as a tablet computer, a smartphone, or a mobile phone. The step number sensor 46 is configured by an acceleration sensor or the like, and detects the number of steps of the staff 80 carrying the staff terminal 40. The barometric pressure sensor 47 is configured by a MEMS (Micro Electro Mechanical Systems) or the like, and detects a barometric pressure around a staff 80 carrying the staff terminal 40.
 なお、検出部10、サーバー20、管理者端末30、およびスタッフ端末40は、上記の構成要素以外の構成要素を含んでもよく、あるいは、上記の構成要素のうちの一部を含まなくてもよい。 Note that the detection unit 10, the server 20, the administrator terminal 30, and the staff terminal 40 may include components other than the above components, or may not include some of the above components. .
 見守りシステムにおけるサーバー20の動作について説明する。 The operation of the server 20 in the watching system will be described.
 図11は、サーバーの動作を示すフローチャートである。本フローチャートは、サーバー20の記憶部23に記憶されたプログラムに従い、制御部21により実行され得る。 FIG. 11 is a flowchart showing the operation of the server. This flowchart can be executed by the control unit 21 according to a program stored in the storage unit 23 of the server 20.
 制御部21は、スタッフ80が対応した、所定期間に発生した対象者70の各イベントについて、業務時間を取得する(S101)。制御部21は、記憶部23に記憶された付加情報リストから業務時間を読み出すことで、各スタッフ80が対応した各イベントの業務時間を取得し得る。以下、説明を簡単にするために、スタッフC(図6参照)の、イベントへの対応による負荷が可視化されたレポートを出力するものとして説明する。なお、通常は、施設のすべてのスタッフ80または一部の複数のスタッフ80について、スタッフ80ごとの、イベントへの対応による負荷が可視化されたレポートを出力する。 The control unit 21 acquires business hours for each event of the target person 70 that has occurred during the predetermined period and that the staff 80 has dealt with (S101). The control unit 21 can acquire the business hours of each event corresponding to each staff 80 by reading the business hours from the additional information list stored in the storage unit 23. Hereinafter, for the sake of simplicity, a description will be given assuming that a report in which the load of staff C (see FIG. 6) in response to the event is visualized is output. Normally, for all the staffs 80 of the facility or a part of the plurality of staffs 80, a report in which the load due to the response to the event for each staff 80 is visualized is output.
 制御部21は、スタッフCが対応した各イベントについて、蓄積された検出パラメーターの中から、業務負荷の算出に用いる検出パラメーターを選択して取得する(S102)。検出パラメーターの選択は、例えば、管理者端末30において受け付けられた検出パラメーターの選択に従って実行される。制御部21は、選択した検出パラメーターを、記憶部23に記憶された付加情報リストから読み出すことで取得し得る。例えば、検出パラメーターのうち、移動歩数、移動階数、およびイベントの内容が選択されて取得され得る。以下、説明を簡単にするために、付加情報リストに登録された検出パラメーターのすべてが選択されたものとして説明する。 The control unit 21 selects and acquires, from the accumulated detection parameters, a detection parameter to be used for calculating the work load, for each event corresponding to the staff C (S102). The selection of the detection parameter is executed, for example, according to the selection of the detection parameter received at the administrator terminal 30. The control unit 21 can acquire the selected detection parameter by reading it from the additional information list stored in the storage unit 23. For example, the number of moving steps, the number of moving floors, and the content of the event can be selected and acquired from the detection parameters. Hereinafter, for the sake of simplicity, the description will be made on the assumption that all of the detection parameters registered in the additional information list have been selected.
 制御部21は、スタッフCが対応したイベントごとに取得した各検出パラメーターについて係数を算出する。制御部21は、イベントごとに、各検出パラメーターから算出した係数を業務時間に乗じることで、イベントごとの業務負荷を算出する(S103)。図6に示す、イベントID113、およびイベントID115を例に説明する。 The control unit 21 calculates a coefficient for each detection parameter acquired for each event corresponding to the staff C. The control unit 21 calculates a business load for each event by multiplying the business time by a coefficient calculated from each detection parameter for each event (S103). The event ID 113 and the event ID 115 shown in FIG. 6 will be described as an example.
 イベントID113についての検出パラメーターは、イベントの内容が「食事」、移動歩数が「150歩」、移動階数が「1階下降」である。また、業務時間は、0.8時間である。各検出パラメーターから算出される係数は、図7A~図7Dに示す負荷係数リストを参照すれば、イベントの内容、移動歩数、移動階数について、それぞれ、1.4、1.2、1.2である。このため、イベントID113についての業務負荷は、上述した式(1)により、1.6128(0.8(時間)×1.4×1.2×1.2)と算出される。なお、上述したように、登録されていない検出パラメーターについては、係数を1として業務負荷が算出される。従って、イベントID113については、応答時間係数は1として業務負荷が算出される。 The detection parameters for the event ID 113 are that the content of the event is “meal”, the number of moving steps is “150 steps”, and the number of moving floors is “down one floor”. The working time is 0.8 hours. Referring to the load coefficient lists shown in FIGS. 7A to 7D, the coefficients calculated from the respective detection parameters are 1.4, 1.2, and 1.2 for the content of the event, the number of steps, and the number of floors, respectively. is there. Therefore, the business load for the event ID 113 is calculated to be 1.6128 (0.8 (hour) × 1.4 × 1.2 × 1.2) according to the above-described equation (1). As described above, for a detection parameter that is not registered, the business load is calculated by setting the coefficient to 1. Therefore, for the event ID 113, the business load is calculated by setting the response time coefficient to 1.
 同様に、イベントID115についての検出パラメーターは、イベントの内容が「ナースコール」、応答時間が「5秒」、移動歩数が「100歩」、移動階数が「1階下降」である。また、業務時間は、0.1時間である。従って、各検出パラメーターから算出される係数は、負荷係数リストを参照すれば、イベントの内容、応答時間、移動歩数、移動階数について、それぞれ、1.0、2.0、1.2、1.2である。このため、イベントID115についての業務負荷は、式(1)により、0.288(0.1(時間)×1.0×2.0×1.2×1.2)と算出される。 Similarly, the detection parameters for the event ID 115 are that the content of the event is “nurse call”, the response time is “5 seconds”, the number of steps is “100”, and the number of floors is “down one floor”. The working time is 0.1 hour. Therefore, the coefficients calculated from the respective detection parameters can be referred to as 1.0, 2.0, 1.2,. 2. For this reason, the work load for the event ID 115 is calculated as 0.288 (0.1 (hour) × 1.0 × 2.0 × 1.2 × 1.2) by equation (1).
 制御部21は、所定期間に対応したすべてのイベントの業務負荷の総和をスタッフ80ごとに算出する(S104)。図6の付加情報リストを参照すれば、スタッフCは、少なくとも1日の間にイベントID110、113、115~117のイベントに対応している。このため、仮に、所定期間が1日であり、当該所定期間に対応したイベントが、イベントID110、113、115~117のイベントのみである場合は、これらのイベントIDのイベントごとに算出した業務負荷の和を、業務負荷の総和として算出する。 The control unit 21 calculates the sum of the business loads of all the events corresponding to the predetermined period for each staff 80 (S104). Referring to the additional information list in FIG. 6, the staff C corresponds to the events of the event IDs 110, 113, and 115 to 117 during at least one day. For this reason, if the predetermined period is one day and the events corresponding to the predetermined period are only the events with event IDs 110, 113, and 115 to 117, the business load calculated for each event with these event IDs Is calculated as the sum of the business loads.
 制御部21は、業務負荷の総和(負荷)がスタッフ80ごとに可視化される図または表を含むレポートを作成する(S105)。なお、レポートには、管理者90によるスタッフごとの業務負荷に関するコメントが含まれてもよい。コメントは、例えば、管理者端末30において管理者90により入力され、サーバー200へ送信され得る。 The control unit 21 creates a report including a diagram or a table in which the total (load) of the business loads is visualized for each staff 80 (S105). Note that the report may include a comment by the manager 90 on the work load of each staff member. The comment can be input by the administrator 90 at the administrator terminal 30 and transmitted to the server 200, for example.
 制御部21は、作成したレポートを出力する(S106)。 The control unit 21 outputs the created report (S106).
 本実施形態は以下の効果を奏する。 This embodiment has the following effects.
 検出され、蓄積された、スタッフが対応したイベントに関する検出パラメーターの中から少なくとも1つの検出パラメーターを選択して取得し、取得した検出パラメーターに基づいてスタッフごとの負荷が可視化される図または表を含むレポートを作成して出力する。これにより、対象者に対応することによるスタッフごとの負荷が適切に可視化されることで、各スタッフの業務状況を正確かつ容易に把握できる。 Includes a figure or table in which at least one detection parameter is selected and obtained from detected and accumulated detection parameters related to the event corresponding to the staff, and a load for each staff is visualized based on the obtained detection parameter. Create and output a report. This makes it possible to accurately and easily grasp the work status of each staff by appropriately visualizing the load of each staff caused by responding to the target person.
 さらに、検出パラメーターを、応答時間、移動歩数、移動階数、イベントの内容、および業務時間の少なくともいずれかとする。これにより、より適切かつ効率的にスタッフごとの負荷を把握できる。 Furthermore, the detection parameter is at least one of the response time, the number of steps, the number of floors, the content of the event, and the business hours. This makes it possible to more appropriately and efficiently grasp the load of each staff.
 さらに、複数の検出パラメーターに基づいて、スタッフごとのイベントへの対応による負荷が可視化される図または表を含むレポートを作成する。これにより、より正確にスタッフごとの負荷を把握できる。 Furthermore, create a report that includes a chart or table that visualizes the load of responding to events by staff based on multiple detection parameters. This makes it possible to more accurately grasp the load of each staff.
 さらに、業務時間以外の検出パラメーターからそれぞれ検出パラメーターに対応する係数を算出し、業務時間に当該係数を乗算することで負荷を算出し、算出された負荷がスタッフごとに可視化される図または表を含むレポートを作成する。これにより、より容易にスタッフごとの負荷を把握できる。 Furthermore, calculate the coefficient corresponding to each detection parameter from the detection parameters other than the business hours, calculate the load by multiplying the business time by the coefficient, and create a diagram or table in which the calculated load is visualized for each staff member. Create a report that includes This makes it possible to more easily grasp the load of each staff.
 さらに、所定の期間に発生したすべてのイベントへの対応による負荷の総和が、スタッフごとに可視化される図または表を含むレポートを作成する。これにより、より客観的にスタッフごとの負荷の状態を把握できる。 Furthermore, create a report including a chart or a table in which the sum of loads by responding to all events occurring in a predetermined period is visualized for each staff member. This makes it possible to more objectively grasp the load status of each staff.
 以上に説明した見守りシステムの構成は、上述の実施形態の特徴を説明するにあたって主要構成を説明したのであって、上述の構成に限られず、特許請求の範囲内において、種々改変することができる。また、一般的な見守りシステムが備える構成を排除するものではない。 構成 The configuration of the watching system described above is a main configuration in describing the features of the above embodiment, and is not limited to the above configuration, and can be variously modified within the scope of the claims. In addition, the configuration provided in a general watching system is not excluded.
 例えば、サーバー20が有する機能を、管理者端末30、または検出部10が備えるようにしてもよい。 For example, the function of the server 20 may be provided in the administrator terminal 30 or the detection unit 10.
 また、検出部10、サーバー20、管理者端末30およびスタッフ端末40は、それぞれ複数の装置により構成されてもよく、いずれか複数の装置が単一の装置として構成されてもよい。 The detection unit 10, the server 20, the administrator terminal 30, and the staff terminal 40 may each be configured by a plurality of devices, or any one of the plurality of devices may be configured as a single device.
 また、上述したフローチャートは、一部のステップを省略してもよく、他のステップが追加されてもよい。また各ステップの一部は同時に実行されてもよく、一つのステップが複数のステップに分割されて実行されてもよい。 In addition, some steps may be omitted from the flowchart described above, and other steps may be added. Further, some of the steps may be executed simultaneously, or one step may be divided into a plurality of steps and executed.
 また、検出パラメーターには、実施形態において例示されたもの以外のものが含まれてもよい。例えば、勤務時間帯を検出パラメーターとし、昼間勤務の係数を1、夜間勤務の係数を1より大きい値に設定してもよい。 検 出 In addition, the detection parameters may include parameters other than those exemplified in the embodiment. For example, the working hours may be set as the detection parameter, and the daytime coefficient may be set to 1 and the nighttime coefficient may be set to a value larger than 1.
 また、実施形態では、業務負荷を算出する式において、業務時間については、業務時間の値を用いたが、業務負荷を算出する際に業務時間について重み付けをするために、業務時間に対応する係数(業務時間係数)として業務時間の値以外を用いてもよい。例えば、業務負荷に対する業務時間の寄与を大きくする場合は、1時間の業務時間に対し係数を1.1等とし得る。また、業務負荷に対する業務時間の寄与を小さくする場合は、1時間の業務時間に対し係数を0.9等とし得る。 Further, in the embodiment, in the formula for calculating the business load, the value of the business time is used for the business time. However, in order to weight the business time when calculating the business load, the coefficient A value other than the business time value may be used as the (business time coefficient). For example, when the contribution of the business hours to the business load is increased, the coefficient may be set to 1.1 or the like for one business hour. When the contribution of the business hours to the business load is reduced, the coefficient can be set to 0.9 or the like for one business hour.
 また、上述した実施形態に係る見守りシステム1における各種処理を行う手段および方法は、専用のハードウェア回路、またはプログラムされたコンピューターのいずれによっても実現することが可能である。上記プログラムは、例えば、USBメモリやDVD(Digital Versatile Disc)-ROM等のコンピューター読み取り可能な記録媒体によって提供されてもよいし、インターネット等のネットワークを介してオンラインで提供されてもよい。この場合、コンピューター読み取り可能な記録媒体に記録されたプログラムは、通常、ハードディスク等の記憶部に転送され記憶される。また、上記プログラムは、単独のアプリケーションソフトとして提供されてもよいし、一機能としてその検出部等の装置のソフトウエアに組み込まれてもよい。 The means and method for performing various processes in the watching system 1 according to the above-described embodiment can be realized by either a dedicated hardware circuit or a programmed computer. The above 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 on the computer-readable recording medium is usually transferred and stored in a storage unit such as a hard disk. Further, the program may be provided as independent application software, or may be incorporated as one function into software of a device such as a detection unit.
 本出願は、2018年6月26日に出願された日本特許出願(特願2018-120747号)に基づいており、その開示内容は、参照され、全体として、組み入れられている。 This application is based on Japanese Patent Application (No. 2018-120747) filed on June 26, 2018, the disclosure of which is incorporated by reference.

Claims (8)

  1.  検出され、蓄積された、スタッフが対応した対象者のイベントに関する複数の検出パラメーターの中から、少なくとも1つの前記検出パラメーターを選択して取得する手順(a)と、
     前記手順(a)において取得された前記検出パラメーターに基づいて、前記スタッフごとの前記イベントへの対応による負荷が可視化された結果を含むレポートを作成する手順(b)と、
     前記手順(b)において作成された前記レポートを出力する手順(c)と、
     を含む処理をコンピューターに実行させるためのレポート出力プログラム。
    A step (a) of selecting and acquiring at least one of the detected parameters from a plurality of detected parameters related to the event of the subject corresponding to the staff detected and accumulated,
    A step (b) of creating a report including a result of visualizing a load caused by the response to the event for each staff, based on the detection parameter acquired in the step (a);
    Outputting the report created in the step (b) (c);
    A report output program that causes a computer to execute a process that includes.
  2.  前記コンピューターは通信部を有し、
     前記検出パラメーターは、前記イベントの通知を前記通信部が送信してから前記イベントへの対応の受諾の応答を前記通信部が受信するまでの応答時間、前記イベントに対応するために移動した前記スタッフの移動歩数、前記イベントに対応するための移動で前記スタッフが昇降した移動階数、前記イベントの内容、および前記スタッフによる前記イベントへの対応に要した業務時間の少なくともいずれかである、請求項1に記載のレポート出力プログラム。
    The computer has a communication unit,
    The detection parameter is a response time from when the communication unit transmits the notification of the event to when the communication unit receives a response of acceptance of the response to the event, and the staff moved to respond to the event. 2. The number of steps taken, the number of floors on which the staff moved up and down in response to the event, the content of the event, and business hours required for the staff to respond to the event. Report output program described in.
  3.  前記手順(a)は、複数の前記検出パラメーターを選択して取得し、
     前記手順(b)は、取得された前記複数の前記検出パラメーターに基づいて、前記スタッフごとの前記イベントへの対応による前記負荷が可視化された結果を含む前記レポートを作成する、請求項1または2に記載のレポート出力プログラム。
    The step (a) comprises selecting and acquiring a plurality of the detection parameters;
    The said procedure (b) produces | generates the said report containing the result of having visualized the said load by responding to the said event for every said staff based on the said several detection parameter acquired. Report output program described in.
  4.  前記手順(b)は、取得された、前記業務時間以外の前記検出パラメーターからそれぞれ前記検出パラメーターに対応する係数を算出し、取得された前記業務時間に前記係数を乗算することで前記負荷を算出し、算出された前記負荷が前記スタッフごとに可視化された結果を含む前記レポートを作成する、請求項2に記載のレポート出力プログラム。 The step (b) includes calculating a coefficient corresponding to each of the detection parameters from the acquired detection parameters other than the business hours, and calculating the load by multiplying the obtained business hours by the coefficient. 3. The report output program according to claim 2, wherein the report including the result of visualizing the calculated load for each staff is created. 4.
  5.  前記手順(b)は、取得された前記検出パラメーターに基づいて、所定の期間に発生したすべての前記イベントへの対応による前記負荷の総和が、前記スタッフごとに可視化された結果を含む前記レポートを作成する、請求項1~4のいずれか一項に記載のレポート出力プログラム。 The step (b) includes, based on the acquired detection parameters, the report including a result in which the sum of the loads in response to all the events that have occurred in a predetermined period is visualized for each staff. The report output program according to any one of claims 1 to 4, which is created.
  6.  前記可視化された結果には、図、表、およびグラフの少なくともいずれかが含まれる、請求項1~5のいずれか一項に記載のレポート出力プログラム。 The report output program according to any one of claims 1 to 5, wherein the visualized result includes at least one of a figure, a table, and a graph.
  7.  検出され、蓄積された、スタッフが対応した対象者のイベントに関する複数の検出パラメーターの中から、少なくとも1つの前記検出パラメーターを選択して取得する段階(a)と、
     前記段階(a)において取得された前記検出パラメーターに基づいて、前記スタッフごとの前記イベントへの対応による負荷が可視化された結果を含むレポートを作成する段階(b)と、
     前記段階(b)において作成された前記レポートを出力する段階(c)と、
     を有するレポート出力方法。
    (A) selecting and acquiring at least one of the detected parameters from a plurality of detected and accumulated detected parameters relating to the event of the subject corresponding to the staff;
    (B) creating a report including a result of visualizing a load caused by the response to the event for each staff, based on the detection parameter acquired in the step (a);
    (C) outputting the report created in (b);
    Report output method having
  8.  検出され、蓄積された、スタッフが対応した対象者のイベントに関する複数の検出パラメーターの中から、少なくとも1つの前記検出パラメーターを選択して取得する取得部と、
     前記取得部により取得された前記検出パラメーターに基づいて、前記スタッフごとの前記イベントへの対応による負荷が可視化された結果を含むレポートを作成する演算部と、
     前記演算部により作成された前記レポートを出力する出力部と、
     を有するレポート出力装置。
    An acquisition unit that selects and acquires at least one of the detected parameters from among a plurality of detected parameters related to the event of the subject corresponding to the staff that has been detected and accumulated,
    An arithmetic unit that creates a report including the result of visualizing the load due to the response to the event for each staff, based on the detection parameter obtained by the obtaining unit,
    An output unit that outputs the report created by the calculation unit,
    Report output device having
PCT/JP2019/018630 2018-06-26 2019-05-09 Report output program, report output method, and report output device WO2020003758A1 (en)

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