Information processing system and information processing method

Abstract

The invention provides an information processing system and an information processing method suitable for nursing of a patient and the like. The information processing system includes: a notification setting unit that sets an execution condition of notification processing that notifies a caregiver of a need for confirmation of a patient; a notification unit that executes notification processing when it is determined that the execution condition is satisfied; and a display processing unit that performs processing for displaying, on the display unit, a setting screen used for setting the notification processing. A caregiver performs a display process of a setting screen including information indicating a relationship between the inpatient area load information and the permissible load information, wherein the inpatient area load information corresponds to a degree of load required in an inpatient area unit, and the permissible load information indicates a degree of permissible load. The display processing unit performs a display process of the setting screen including the information indicating the relationship between the inpatient area load information and the permissible load information.

Description

TECHNICAL FIELD

[0001] The present application relates to an information processing system, an information processing method, and the like. BACKGROUND

[0002] In the past, a method of calculating a load when nursing a nursing target such as a patient has been known. For example, a method of calculating an actual work amount for each worker is disclosed in Patent Literature 1. PRIOR ART DOCUMENTS PATENT LITERATURE

[0003] Patent Literature 1: Japanese Patent Application Publication No. 2021-197075 SUMMARY PROBLEMS TO BE SOLVED BY THE INVENTION

[0004] To provide an information processing system, an information processing method, and the like that are suitable for nursing of a patient or the like. TECHNICAL SOLUTION

[0005] One embodiment of the present disclosure relates to an information processing system including a notification setting section that sets an execution condition of a notification process of notifying a nursing staff of a need for a patient's confirmation, a notification section that executes the notification process in a case where it is determined that the execution condition is satisfied, and a display process section that performs a process of displaying a setting screen used for setting of the notification process at a display section, in relation to the notification setting section, calculates ward load information indicating a degree of a load in a ward unit that the nursing staff needs to cope with in a case where the notification process related to the patient is performed, calculates allowable load information indicating a degree of an allowable load based on target information indicating a time target when coping with the notification process and a number of the nursing staffs that cope with the notification process, and performs display processing of the setting screen including information indicating a relationship between the ward load information and the allowable load information.

[0006] Another aspect of the present disclosure relates to an information processing method including: processing of displaying, at a display unit, a setting screen used for setting a notification process; setting an execution condition for the notification process that notifies a nursing staff of a need for the patient's confirmation; and executing the notification process when it is determined that the execution condition is satisfied, wherein, in the setting of the execution condition, ward load information indicating a degree of a ward load in a ward unit that the nursing staff needs to cope with in a case where the notification process related to the patient is performed is calculated, allowable load information indicating a degree of an allowable load is calculated based on target information indicating a time target when the notification process is coped with and a number of the nursing staff that copes with the notification process, and, in the processing of displaying the setting screen, display processing of the setting screen including information indicating a relationship between the ward load information and the allowable load information is performed. BRIEF DESCRIPTION OF DRAWINGS

[0007] Figure 1 is a diagram that indicates an example of a structure of an information processing system. Figure 2 is a diagram that indicates an example of a functional structure of an information processing system. Figure 3 is a diagram that indicates an example of a structure of a bed. Figure 4 is a diagram that indicates an example of a structure of a detection device. Figure 5 is a flowchart that explains a notification setting process in an information processing system. Figure 6 is a flowchart that explains a notification process in an information processing system. Figure 7 is a flowchart that explains a process of calculating ward load information. Figure 8 is an example of load master data. Figure 9 is an example of ward master data. Figure 10 is an example of determination master data. Figure 11 is an example of determination master data. Figure 12A is an example of a pictogram associated with a pictogram code. Figure 12B is an example of a pictogram associated with a pictogram code. Figure 13 is an example of determination master data. Figure 14 is an example of determination master data. Figure 15 is a flowchart that explains a process of calculating allowable load information. Figure 16 is a diagram illustrating a process of acquiring allowable load information by regression analysis. Figure 17 is an example of a setting screen. Figure 18 is an example of a patient screen. Figure 19 is another example of a setting screen. Figure 20 is an example of a screen for associating a pictogram code with a patient. DETAILED DESCRIPTION

[0008] Hereinafter, the present embodiment will be described with reference to the drawings. For the drawings, the same or equivalent elements are denoted by the same reference numerals, and overlapping description will be omitted. Further, the present embodiment described below will not unreasonably limit the content recited in the claims. In addition, all the structures described in the present embodiment are not necessarily essential constituting conditions of the present disclosure.

[0009] 1. System configuration example The information processing system 10 of the present embodiment appropriately performs a notification process for a caregiver in a situation where the caregiver performs nursing care for a patient. Specifically, the information processing system 10 suppresses excessive notification to the caregiver, does not perform a necessary notification to a patient who needs nursing care, and the like. Details of the process in the information processing system 10 described later. Further, the patient of the present embodiment refers to a patient who is hospitalized in a hospital, for example, but can also be a resident of a nursing home. The caregiver narrowly refers to a nursing staff who works in a hospital, but can also include an occupational therapist, a physical therapist, and the like. In addition, the caregiver can also include a nurse, a nursing manager, and the like.

[0010] Figure 1 is a configuration example of the information processing system 10 of the present embodiment. The information processing system 10 includes, for example, a bed 100, an information processing device 200, and a terminal device 300. However, the configuration of the information processing system 10 is not limited to Figure 1 , and variations such as omission of a part of the configuration, addition of other configurations, and the like can be implemented. For example, the information processing system 10 of the present embodiment can also be a part of the configuration shown in Figure 1 , and the information processing system 10 can also be the information processing device 200, for example. In addition, in Figure 1 , two beds 100-1 and 100-2 are exemplified as the bed 100, but the number of beds 100 is not limited thereto. Similarly, in Figure 1 , two terminal devices 300-1 and 300-2 are exemplified as the terminal device 300, but the number of terminal devices 300 is not limited thereto. In addition, the information processing system 10 can also include a sensing device 500 such as a detection device 400 described later. Figure 4 , and the information processing system 10 can also be the information processing device 200, for example. In addition, in Figure 1 , two beds 100-1 and 100-2 are exemplified as the bed 100, but the number of beds 100 is not limited thereto. Similarly, in Figure 1 , two terminal devices 300-1 and 300-2 are exemplified as the terminal device 300, but the number of terminal devices 300 is not limited thereto. In addition, the information processing system 10 can also include a sensing device 500 such as a detection device 400 described later.

[0011] The bed 100 is a bedding used by a patient. The bed 100 may also have a movable portion for adjusting the height or angle (e.g., Figure 3 In addition, the bed 100 may also include a load sensor for detecting pressure (e.g., a load sensor for detecting pressure). Figure 3 The bed 100 outputs information on height or angle, sensing results using sensors such as the load sensors 140A to 140D, and the like to the information processing device 200 .

[0012] The information processing device 200 determines the patient's condition based on information from the bed 100 and, based on this information, determines whether a notification to the nursing staff is necessary. Communication between the bed 100 and the information processing device 200 occurs wirelessly using a standard such as IEEE 802.11 or Bluetooth. However, communication between the bed 100 and the information processing device 200 can also be performed via a wired connection.

[0013] The information processing device 200 is, for example, a server system. The server system may be a single server or may include multiple servers. For example, the server system may include a database server and an application server. The database server may also store information sent from the bed 100. The application server performs various processes based on this information. For example, the application server performs the following operations: Figure 5 The processing of each step described above is performed. Furthermore, the multiple servers herein may be physical servers or virtual servers. Furthermore, when using virtual servers, the virtual servers may be installed on a single physical server or distributed across multiple physical servers. As described above, the specific structure of the server system of this embodiment may be modified in various ways.

[0014] For example, the information processing device 200 is a management server installed in the hospital. In addition to processing notifications to nursing staff, it can also perform various processes such as storing electronic medical records, managing patients and nursing staff, etc. Alternatively, the information processing device 200 can also be a server system installed separately from the hospital's management server. The information processing device 200 can also be a cloud server connected to the hospital's network via a public communication network such as the Internet, and can be connected to the hospital's network via a public communication network such as the Internet. Figure 1 A management server (not shown) receives information from bed 100. Alternatively, information processing device 200 may include both a hospital-based management server and a cloud server, implemented through distributed processing between these servers. Furthermore, information processing device 200 may also be implemented using other devices such as a PC (Personal Computer).

[0015] The terminal device 300 is, for example, a device used by a caregiver. Specifically, the terminal device 300 is a device distributed to a plurality of caregivers respectively, and performs a process of prompting the caregivers of various information related to a patient acquired from the information processing device 200. Further, the terminal device 300 and the bed 100 are not limited to be provided separately. As described later, the terminal device 300 can also be assembled into the bed 100.

[0016] In the present embodiment, an execution condition of the notification process is set for the patient, and the information processing device 200 determines whether the execution condition is satisfied. Further, in a case where the execution condition is satisfied, the information processing device 200 causes the notification section 320 (for example, a speaker) of the terminal device 300 to execute the notification process. Thereby, for example, in a case where the patient has an abnormality, or in a case where the patient needs to be monitored, the caregiver can be prompted to take appropriate action.

[0017] Figure 2 is a diagram illustrating a functional structure of the information processing system 10. The information processing system 10 includes a sensing device 500, the information processing device 200, and the terminal device 300. The information processing device 200 includes a notification setting section 210, a display processing section 220, a notification determination section 230, a notification section 240, a storage section 250, and a display section 260. The terminal device 300 includes a display section 310 and a notification section 320. However, the structure of each device of the information processing system 10 is not limited to Figure 2 For example, a part of the structure can be omitted, other structure can be added, and the like.

[0018] The sensing device 500 outputs a sensing result, which is a result of sensing a state of a patient, to the information processing device 200. The sensing device 500 here is, for example, the bed 100 including the load sensors 140A to 140D. Among them, the sensing device 500 can apply various devices described later using the detection device 400, an image sensor such as a camera, a wearable device, an RFID (Radio Frequency Identification) tag, and an RFID reader. Figure 4 The sensing device 500 outputs a sensing result, which is a result of sensing a state of a patient, to the information processing device 200. The sensing device 500 here is, for example, the bed 100 including the load sensors 140A to 140D. Among them, the sensing device 500 can apply various devices described later using the detection device 400, an image sensor such as a camera, a wearable device, an RFID (Radio Frequency Identification) tag, and an RFID reader.

[0019] Further, the sensing device 500 is not limited to a device that acquires information indicating a state of a patient, and can acquire information indicating a state of a surrounding environment of the patient. For example, in a case where the bed 100 is used as the sensing device 500, information such as a height of the bed, an angle of the bottom 160b, and the like can also be included in the sensing result of the bed 100. As the sensing device 500 that senses a state of a surrounding environment, various devices such as a thermometer, a hygrometer, an illuminometer, and the like can be applied. Details of the sensing device 500 are described later.

[0020] The notification setting section 210 of the information processing apparatus 200 performs processing of setting an execution condition (hereinafter, referred to as a notification condition) of the notification processing of notifying the nursing staff of the need for the patient's confirmation. The notification condition can be, for example, "getting out of bed", "sitting position", or the like, which is information indicating the position or posture of the patient at the periphery of the bed 100. "Getting out of bed" indicates a condition in which the notification processing is executed in a case where the patient gets out of the bed 100. "Sitting position" indicates a condition in which the notification processing is executed in a case where the patient takes a posture of sitting on the end portion of the bed 100. The notification condition based on the position or posture of the patient (hereinafter, also referred to as a patient notification condition) is not limited to "getting out of bed" and "sitting position". In addition, the notification condition can include a condition other than the patient notification condition. Details of the notification condition will be described later.

[0021] The display processing section 220 performs processing of displaying, on the display section, a screen for setting the notification condition, that is, a setting screen. Details of the setting screen will be described later using Figure 17 . In addition, the display section here can be the display section 260 of the information processing apparatus 200 or the display section 310 of the terminal apparatus 300. For example, in a case where the user of the information processing apparatus 200 (a manager of a hospital or the like) sets the notification condition, the display processing section 220 displays the setting screen on the display section 260. In addition, in a case where the nursing staff sets the notification condition, the display processing section 220 displays the setting screen on the display section 310. In addition, the display processing section 220 can perform processing of displaying the setting screen on a display section other than the display section 260 and the display section 310.

[0022] The notification determination section 230 acquires a sensing result from the sensing device 500, for example, via a communication section (communication interface) not illustrated. Then, the notification determination section 230 performs determination of whether or not the notification condition is satisfied based on the sensing result.

[0023] In a case where the notification determination section 230 determines that the notification condition is satisfied, the notification section 240 performs notification processing to the nursing staff. For example, the notification section 240 causes the notification section 320 of the terminal apparatus 300 to perform notification processing. In a case where a plurality of nursing staff each have a terminal apparatus 300, the notification section 240 can also extract, from the plurality of nursing staff, a nursing staff who should be in charge of the patient, cause the notification section 320 of the terminal apparatus 300 of the extracted nursing staff to perform notification processing, or the like. Alternatively, the notification section 240 can also perform notification processing to a plurality of terminal apparatuses 300 in common.

[0024] The notification setting section 210, the display processing section 220, the notification determination section 230, and the notification section 240 described above can also be included in a processing section not shown. The processing section of the present embodiment is constituted by hardware. The hardware can include at least one of a circuit that processes digital signals and a circuit that processes analog signals. For example, the hardware can be constituted by one or a plurality of circuit devices, one or a plurality of circuit elements mounted on a circuit board. The one or a plurality of circuit devices are, for example, an IC (Integrated Circuit), an FPGA (field-programmable gate array), or the like. The one or a plurality of circuit elements are, for example, a resistor, a capacitor, or the like.

[0025] In addition, the processing section can also be realized by a processor described below. The information processing apparatus 200 of the present embodiment includes a memory that stores information and a processor that acts based on the information stored in the memory. The information is, for example, a program and various data, and the like. The memory can be the storage section 250, or another memory. The processor includes hardware. The processor can use various processors such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a DSP (Digital Signal Processor), and the like. The memory can be a semiconductor memory such as an SRAM (Static Random Access Memory), a DRAM (Dynamic Random Access Memory), a flash memory, or the like, can be a register, can be a magnetic storage apparatus such as an HDD (Hard Disk Drive), or can be an optical storage apparatus such as an optical disk apparatus. For example, the memory stores instructions that can be read by a computer, and the functions of each section of the processing section (the notification setting section 210, the display processing section 220, the notification determination section 230, and the notification section 240) are realized as processing by the processor executing the instructions. The instructions here can be instructions that constitute a set of instructions of a program, or can be instructions that give an action instruction to the hardware circuit of the processor.

[0026] The storage section 250 is a work area of each section of the processing section, and stores various information. The storage section 250 can be implemented by various memories, and the memories can be semiconductor memories such as SRAM, DRAM, ROM (Read Only Memory), flash memory, or the like, can be registers, can be magnetic storage devices, or can be optical storage devices. The storage section 250 can store, for example, a notification condition for each patient, a sensing result from the sensing device 500. In addition, the storage section 250 can store the ward master data described later Figure 8 the load master data described later Figure 9 the ward master data described later Figure 10 the determination master data described later Figure 13 In addition, the storage section 250 can store a patient profile, an electronic medical record, management information (shift, skill information, and the like) of nursing staff.

[0027] The display section 260 is an interface that displays various information, and can be a liquid crystal display, an organic EL display, or another type of display.

[0028] In addition, the display section 310 of the terminal device 300 is also an interface that displays various information, and can be a liquid crystal display, an organic EL display, or another type of display.

[0029] The notification section 320 notifies a user of the terminal device 300 of information. The notification section 320 can be, for example, a speaker that performs notification based on sound. In addition, the notification section 320 can be a vibration section (motor) that performs notification based on vibration. In addition, the display section 310 can function as the notification section 320. In this case, the display section 310 as the notification section 320 performs notification based on an image.

[0030] As described above, the information processing system 10 (narrowly, the information processing device 200) of the present embodiment includes the notification setting section 210, the notification section 240, and the display processing section 220. Moreover, the notification setting section 210 of the present embodiment calculates ward load information and allowable load information. The ward load information is information indicating a degree of load in a ward unit that is required for nursing staff to cope with in a case where notification processing related to a patient belonging to a ward that is a processing target is performed. The allowable load information is information indicating a degree of allowable load, and is calculated based on target information indicating a time target at the time of coping with the notification processing, and the number of nursing staff that cope with the notification processing. The display processing section 220 performs display processing of a setting screen including information indicating a relationship between the ward load information and the allowable load information. Details of the ward load information and the allowable load information are described later. In addition, the storage section 250 stores Figure 17 The setting screen is described later.

[0031] According to the method of the present embodiment, the load of the nursing staff in the ward unit estimated from the notification condition set can be calculated as the ward load information, and the allowable load estimated from the target time and the number of nursing staff can be calculated as the allowable load information. By displaying the relationship between them in the setting screen, for example, the user (manager and / or nursing staff) can recognize whether the current notification condition converges within the range of the allowable load.

[0032] Therefore, in the case where the ward load information exceeds the allowable load information, it is assumed that the user deletes some of the notification conditions or changes to a less load manner, and thus, it is possible to suppress the notification from being generated frequently to the extent that the nursing staff cannot cope. In addition, in the case where the allowable load information exceeds the ward load information, the nursing staff is in surplus, and thus, the user can perform the addition of a new notification condition or the like. As a result, for a patient for whom the necessity of nursing is high, it is possible to suppress the setting of the missed notification condition. Furthermore, at the time of adding the notification condition, the display processing section 220 can also perform the processing of displaying the setting screen including the notification condition recommended to the target patient. Details will be described later.

[0033] In addition, a part or all of the processing performed by the information processing system 10 of the present embodiment can also be implemented by a program. The processing performed by the information processing system 10 is processing performed by the information processing device 200 in a narrow sense, but can also include processing performed by the bed 100 and the terminal device 300.

[0034] The program of the present embodiment can be stored, for example, to a non-transitory information storage medium (information storage device) that is a medium that can be read by a computer. The information storage medium can be implemented, for example, by an optical disk, a memory card, an HDD, or a semiconductor memory, or the like. The semiconductor memory is, for example, a ROM. The processing sections (notification setting section 210, display processing section 220, notification determination section 230, and notification section 240) and the like perform various processing of the present embodiment based on the program stored in the information storage medium. That is, the information storage medium stores a program for causing a computer to function as the processing sections. The computer is a device that is provided with an input device, a processing section, a storage section, and an output device. Specifically, the program of the present embodiment is a program for causing a computer to execute each step described later using the display section 220, the notification setting section 210, the notification determination section 230, and the notification section 240 as the processing sections. Figure 4

[0035] ​Further, the method of the present embodiment can be applied to an information processing method including the following steps. The information processing method includes a step of processing to display a setting screen used for setting of a notification process on the display unit; a step of setting an execution condition of a notification process for a caregiver to be notified of a patient's confirmation; and a step of executing the notification process when it is determined that the execution condition is satisfied. Also, in the information processing method, in the setting of the execution condition, ward load information indicating a degree of a ward load required for the caregiver to cope with the notification process in a case where the notification process related to the patient is performed is calculated, allowable load information indicating a degree of an allowable load is calculated based on target information indicating a time target when coping with the notification process and the number of caregivers coping with the notification process, and in the processing of displaying the setting screen, display processing of the setting screen including information indicating a relationship between the ward load information and the allowable load information is performed.

[0036] 2. Specific example of sensing device Next, a specific example of the sensing device 500 will be described. The sensing device 500 is used in the bed 100. Figure 1 As described above, the sensing device 500 can also be the bed 100.

[0037] Figure 3 is a detailed configuration example of the bed 100. As shown in Figure 3 , a load sensor 140 that detects pressure is arranged on the bed 100. In Figure 3 , an example in which the load sensors 140A to 140D are arranged at four positions (in a narrow sense, four positions corresponding to the four corners of the bed 100) of the bed 100, respectively, is shown. However, the number and the position of the load sensors 140 are not limited to this, and various modifications can be implemented.

[0038] The load sensor 140 can be, for example, a piezoelectric sensor that uses a piezoelectric body that generates an electric charge when pressure is applied, or can be a strain sensor that detects deformation of a material caused by pressure as a change in resistance. Further, in the load sensor, various methods including the above-described piezoelectric sensor and strain sensor are known, and in the present embodiment, these methods can be widely applied. Therefore, detailed description of the load sensor 140 is omitted.

[0039] Further, the bed 100 can also be a care bed having a leg portion 160a and a bottom portion 160b as movable portions 160, capable of performing height adjustment based on movement of the leg portion 160a and angle (back angle, etc.) adjustment based on movement of the bottom portion 160b.

[0040] The bed 100 includes a not-illustrated drive section that is an actuator or the like that drives the movable sections 160 of the bed 100. For example, the bed 100 has a plurality of the base sections 160b that are divided into a plurality of sections as the movable sections 160, and the drive section adjusts the angles of the base sections 160b by changing the position postures of at least a part of the plurality of base sections 160b based on control by a not-illustrated processor included in the bed 100. For example, control of the back angle (control of the base sections 160b on the head side) or control of the foot angle (control of the base sections 160b on the foot side) can also be performed by driving of the drive section.

[0041] In addition, the drive section is an actuator or the like that drives the leg sections 160a. Accordingly, the height of the bed 100 as a whole can be adjusted by driving of the drive section.

[0042] The bed 100 can output the outputs of the load sensors 140A to 140D as sensing result related to the position posture of the patient to the information processing device 200, can output the states (height, angle) of the movable sections 160 as sensing result related to the environment of the patient to the information processing device 200, and can perform both of these processes.

[0043] Figure 4 is another example of the sensing device 500, and is a drawing that describes the structure of the detection device 400 that measures biological information. As shown in Figure 4 , the detection device 400 is, for example, a sheet-shaped or plate-shaped device that is provided between the base sections 160b of the bed 100 and the mattress 180. The detection device 400 is a device that senses information related to the sleep of the patient. The detection device 400 includes a pressure sensor (for example, an air pressure sensor) that outputs a pressure value.

[0044] When the user goes to bed, the detection device 400 detects the body vibration (body movement, vibration) of the user via the mattress 180. The detection device 400 calculates information related to the respiratory rate, the heart rate, the activity amount, the posture, the wake / sleep, and the out-of-bed / in-bed based on the detected body vibration. Furthermore, it can be that the detection device 400 outputs sensor data that indicates the body vibration, and another device such as the information processing device 200 performs processing that calculates the information such as the respiratory rate based on the sensor data. Hereinafter, an example in which the detection device 400 outputs information such as the respiratory rate will be described.

[0045] For example, the detection device 400 can also analyze periodicity of the body motion, and calculate the respiratory rate, the heart rate from the peak frequency. The analysis of the periodicity is, for example, Fourier transform or the like. The respiratory rate is the number of breaths per unit time. The heart rate is the number of heartbeats per unit time. The unit time is, for example, one minute. In addition, the detection device 400 can also detect the body vibration per sampling unit time, and output the number of detected body vibrations as the activity amount. In addition, when the user gets out of the bed, the detected pressure value decreases compared to when the user is in the bed, and thus the detection device 400 can also make the out-of-bed / in-bed determination based on the pressure value or the change in the time series thereof. However, the out-of-bed / in-bed determination method is not limited thereto, and various modifications such as the detection of the vibration can be implemented. The detection device 400 can also make the determination of the non-rapid eye movement sleep and the rapid eye movement sleep, and the determination of the sleep depth. The sleep-related determination can be performed based on the respiratory rate, the heart rate, can be performed based on the body motion amount (for example, the activity amount), or can be performed using both.

[0046] The detection device 400 outputs the patient's biological information (information on respiration, heartbeat, sleep, and the like), and the position / posture information (information on the posture, the out-of-bed / in-bed, and the like) as the sensing result to the information processing device 200. Further, as described above, in the case where the bed 100 includes the load sensor 140, the patient's position / posture can be estimated based on the information of the load sensor 140. In this case, either one of the bed 100 and the detection device 400 can not perform the output of the sensing result related to the patient's position / posture. Alternatively, the information processing device 200 can acquire the sensing result related to the patient's position / posture from both of the bed 100 and the detection device 400, and make the determination related to the notification condition by combining the sensing results.

[0047] Further, the sensing device 500 is not limited to the above examples. For example, the sensing device 500 can also include a camera disposed at various positions in the ward. The camera can also be disposed in the patient's room, a common space (corridor, conversation room, and the like) in the ward, for example, and output image data as the sensing result to the information processing device 200. The information processing device 200 makes the determination of the patient's position by performing image processing (narrowly, detection processing of a person) on the image data. For example, the information processing device 200 can also make the identification of the patient by performing face authentication processing of a person. Thereby, the information processing device 200 can estimate the patient's position based on which patient is imaged in the image data output from which camera. Further, a method of performing skeleton tracking processing based on image data is widely known, and in the present embodiment, by applying these methods, it is also possible to estimate the patient's posture from the camera output.

[0048] Further, the sensing device 500 can also include a wearable device. For example, as a wearable device in the form of a wristwatch, a device capable of detecting the number of pulses of a patient and the like is well known. Thus, by using these wearable devices as the sensing device 500, it is possible to output the biological information of the patient to the information processing device 200.

[0049] Further, the sensing device 500 can also include an RFID tag attached to the patient and an RFID reader arranged at a prescribed position within the hospital. The storage section 250 can also store data associating the patient ID and the tag ID of the RFID tag, and data indicating the position at which the RFID reader is arranged. Thereby, based on the reading result of the RFID reader, it is possible to estimate the position of the patient.

[0050] Further, the sensing device 500 can also include a thermometer, a hygrometer, and the like as devices that measure environmental information. The thermometer detects the temperature of the surroundings of the patient. The hygrometer detects the humidity of the surroundings of the patient. The thermometer and the hygrometer transmit the temperature and the humidity as the sensing result of the surrounding environment of the patient to the information processing device 200.

[0051] The sensing device 500 that senses the surrounding environment of the patient can also include a CO2 measuring device, an illuminometer, and the like. In this case, the sensing device 500 transmits the information of the carbon dioxide concentration, the illuminance, and the like as the sensing result to the information processing device 200.

[0052] Further, the sensing device 500 of the present embodiment is not limited to the devices exemplified above, and can be extended to various devices capable of sensing the state of the patient or the state of the surrounding environment.

[0053] 3. Setting of notification condition and notification processing The flow of the processing performed by the information processing system 10 (narrowly, the information processing device 200) will be described. First, the overall flow will be described, and then the details of each processing will be described.

[0054] 3.1 Overall flow Figure 5 is a flowchart of the notification setting processing in the notification setting section 210. When this processing is started, first, in step S101, the notification setting section 210 calculates ward load information. The ward load information is information that calculates the degree of the load of the nursing staff required for the response of the notification processing in the ward unit.

[0055] Specifically, in step S101, the notification setting section 210 can also calculate information indicating the degree of the load on the nursing staff in the case where the notification process related to the patient is executed as the patient load information. In other words, the patient load information is information indicating the load per patient unit. The notification setting section 210 derives ward load information based on the patient load information of a plurality of patients hospitalized in the ward. In addition, in step S101, the notification setting section 210 can also perform a process of determining the notification condition to be recommended to the patient. Details of the process of step S101 will be described later.

[0056] In addition, in step S102, the notification setting section 210 derives information indicating the degree of the allowable load per ward unit based on the past history as the allowable load information. For example, the notification setting section 210 can also derive the degree of the load allowed per nursing staff based on the past history, and multiply the derived value by the number of actual working nursing staff, thereby deriving the allowable load information. Details of the process of step S102 will be described later.

[0057] Through the above processes, the ward load information and the allowable load information are derived. Furthermore, the process of step S101 and the process of step S102 do not need to be executed consecutively, and each process can be executed independently. In addition, the execution timing and the execution frequency of each of the process of step S101 and the process of step S102 can be different. For example, the trigger of executing the process of step S101 and the trigger of executing the process of step S102 can be different. The execution timing of each process will be described later.

[0058] Next, in step S103, the notification setting section 210 determines the size relationship based on the comparison process of the latest ward load information and the allowable load information. For example, if the value of the ward load information exceeds the value of the allowable load information, it is determined that the notification setting is in a surplus trend, and the response by the nursing staff can take time. In addition, if the value of the ward load information is lower than the value of the allowable load information, the nursing staff is in surplus, and thus it is determined that the notification condition can be added. In addition, if the ward load information and the allowable load information are the same degree, it is determined that a state of maintaining the balance is achieved.

[0059] In step S104, the display processing section 220 performs a process of displaying a setting screen reflecting the determination result in step S103 on the display section 260. Furthermore, as described above, the object to display the setting screen can be the display section 310 of the terminal device 300, or the display section of another device. For example, as described later using the flowchart of FIG. 6, the display processing section 220 can also perform a process of displaying the setting screen on the display section 310 of the terminal device 300, and a process of displaying the setting screen on the display section of another device. Figure 17As described above, the display processing unit 220 may also display an object OB1 indicating the magnitude relationship between the ward load information and the allowable load information. Details of the setting screen will be described later.

[0060] Furthermore, in step S105, notification setting unit 210 may also determine whether a user input operation has been received on the settings screen. For example, if a user input is performed using the operating unit of the device displaying the settings screen, information indicating the user input is transmitted to notification setting unit 210. User input in this context includes, for example, adding, deleting, or modifying notification conditions.

[0061] In the case of receiving the user input (step S105: Yes), in step S106, the notification setting unit 210 updates the notification conditions of the patient based on the content of the input operation. Figure 7 As described above, when the notification condition of the patient is changed, the value of the ward load information may change. Therefore, after the process of step S106, the notification setting unit 210 may return to step S101 to update the ward load information.

[0062] When the setting screen is closed without receiving the user input (step S105 : No), the notification setting unit 210 ends the processing.

[0063] By conducting Figure 5 The processing shown here can prompt the user to add, delete, or change notification conditions after clearly showing the relationship between the load that can be generated by the set notification conditions and the load that the nursing staff can handle. As a result, it can be prevented from making unnecessary notification settings or omitting necessary notification settings.

[0064] When the notification setting process is performed, the information processing system 10 executes the notification process using the set notification conditions. Figure 6 This flowchart illustrates the notification process performed by notification determination unit 230 and notification unit 240. When this process begins, notification determination unit 230 first obtains sensing results from sensor device 500 in step S201. For example, multiple sensor devices 500 transmit sensing results to notification determination unit 230 at a frequency set for each device.

[0065] In step S202, the notification determination unit 230 determines whether the set notification condition is satisfied for each patient based on the sensing results. For example, when the notification determination unit 230 obtains sensing results for a predetermined period, it may determine whether the notification condition is satisfied based on the sensing results.

[0066] The notification condition here can also be, for example, a patient notification condition related to the patient's position, posture, sleep / wake. For example, the notification setting section 210 can set "care", "bed exit", "sitting position", "getting up", "wake up" as the patient notification condition. "Care" indicates a condition in which the notification process is executed if a prescribed period elapses after the patient leaves the room. Further, "care" can also be a condition in which the notification process is executed if a prescribed period elapses after the patient leaves the bed 100. "Bed exit" indicates a condition in which the notification process is executed if the patient leaves the bed 100. "Sitting position" indicates a condition in which the notification process is executed if the patient takes a posture of sitting at the end of the bed 100. "Getting up" indicates a condition in which the notification process is executed if the patient takes a posture of standing up on the bed 100. "Wake up" indicates a condition in which the notification process is executed if the patient enters a wake state from a sleep state.

[0067] As described above, by using the sensing device 500, each process of the patient's position detection, posture detection, sleep determination can be executed. Therefore, the notification determination section 230 executes determination of whether each notification condition of "care", "bed exit", "sitting position", "getting up", "wake up" is satisfied based on the sensing result.

[0068] Further, the notification condition here can also be a condition related to the patient's surrounding environment. For example, the notification setting section 210 can set "bed height X cm", "bed angle θ or more" as the notification condition. The notification condition related to the bed 100 will also be described below as the bed current state.

[0069] "Bed height X cm" indicates a condition in which the notification process is executed if the height of the bottom 160b side (or the mattress 180 side) of the bed 100 deviates from X cm. Further, X here is not limited to a single numerical value, but can also be a range of values given. Further, a plurality of values can be prepared as X, such as X1, X2, X3,..., and a plurality of notification conditions can be used for the height of the bed 100. "Bed angle θ or more" indicates a condition in which the notification process is executed if the angle of the bottom 160b of the bed 100 becomes θ (degrees) or more. As θ here, a plurality of values such as 30°, 45°, 60°, etc. can be set. Further, as the bed angle, a notification condition related to the back angle and a notification condition related to the foot angle can be set.

[0070] As described above, for example, based on the state of the movable part 160 of the bed 100 (driving state of the driving part), the bed height and the bed angle can be found. Therefore, the notification determination section 230 executes determination of whether each notification condition of "bed height X cm", "bed angle θ or more" is satisfied based on the sensing result from the bed 100.

[0071] Further, as the notification condition, biological information such as respiration, heartbeat, and the like can be used, environmental information such as temperature, humidity, illuminance, and the like can be used, or a combination of two or more of them can be used.

[0072] In a case where it is determined that the notification condition is satisfied (step S202: YES), in step S203, the notification determination unit 230 determines whether or not the value of the patient load information of the target patient is equal to or greater than a threshold value. The patient load information is information indicating the degree of load required for the nursing staff to cope with the notification processing in a case where the notification processing related to the patient is executed as described above, and is calculated in the processing of step S101 of Figure 5 The details of the processing of calculating the patient load information are described later using steps S302-S303 of Figure 7

[0073] In a case where the patient load information is equal to or greater than the threshold value (step S203: YES), in step S204, the notification unit 240 performs the notification processing using the first mode. In a case where the patient load information is less than the threshold value (step S203: NO), in step S205, the notification unit 240 performs the notification processing using the second mode different from the first mode. For example, in a case where the notification unit 320 of the terminal device 300 is a speaker that outputs sound, the notification unit 240 performs the processing of outputting the first sound in step S204, and performs the processing of outputting the second sound in step S205. Or in a case where the notification unit 320 is a vibration unit (motor), the notification unit 240 can perform the processing of causing the vibration unit to vibrate in the first vibration pattern in step S204, and perform the processing of causing the vibration unit to vibrate in the second vibration pattern in step S205.

[0074] Further, in a case where the display unit 310 of the terminal device 300 doubles as the notification unit 320, in terms of the notification unit 240, the processing of displaying the first image data can be performed in step S204, and the processing of displaying the second image data can be performed in step S205. For example, the images, icons, texts, and the like included in the first image data and the second image data are different.

[0075] As described above, the notification unit 240 of the present embodiment can also determine the notification mode of the notification processing based on the patient load information. For example, as described above, the notification unit 240 can also cause the display mode to be different between a case where the value of the patient load information is equal to or greater than a prescribed threshold value and a case where it is less than the prescribed threshold value. Further, the display mode is not limited to two, and three or more display modes can be used. The details are described later using steps S302-S303 of Figure 8 ​Details are described, for example, in the case where the state of the patient is poor, the value of the patient load information is likely to become large. Therefore, according to the method of the present embodiment, the caregiver can be prompted of the load required for the response, the priority (urgency) of the response at the notification processing stage. As a result, the caregiver can be prompted to perform appropriate response. For example, in the case where the notification processing is repeatedly performed, the caregiver can appropriately determine the priority order, in the case where the response is difficult, the caregiver can be prompted to perform nursing relief in advance, and the like.

[0076] Further, in the case where the notification condition is not satisfied (step S202: No), the processing of steps S203-S205 is omitted.

[0077] 3.2 Ward load information Next, the ward load information used in the notification setting processing is described in detail. The notification setting unit 210 of the present embodiment can also calculate the patient load information. For example, the notification setting unit 210 can calculate the patient load information in the processing of calculating the ward load information shown in step S101. Figure 5 The notification setting unit 210 can calculate the patient load information in the processing of calculating the ward load information shown in step S101. Specifically, the present embodiment can include a plurality of patients hospitalized in the ward that is the processing target, and the notification setting unit 210 can calculate the patient load information indicating the degree of the load required for the caregiver to perform the response in the case where the notification processing is performed, for each of the plurality of patients. Then, the notification setting unit 210 can calculate the ward load information indicating the degree of the load of the ward, on the basis of the patient load information corresponding to the plurality of patients. According to the method of the present embodiment, by calculating the patient load information, it is possible to estimate the load required for the response for each patient. For example, the notification setting unit 210 can calculate the patient load information after taking into account the individual differences of the patients. As a result, the ward load information is calculated on the basis of the patient load information of the plurality of patients, and thus it is possible to improve the accuracy of the ward load information. The detailed processing flow is described below.

[0078] Figure 7 is a flowchart illustrating the processing of calculating the ward load information shown in step S101 of Figure 5 Figure 7 The processing shown in FIG. 10 can also be performed for each of the beds 100 provided in the hospital, for example.

[0079] In step S301, the notification setting unit 210 determines whether the bed 100 that is the processing target is in use by a patient. For example, the storage unit 250 of the information processing apparatus 200 can store data associating the bed ID of the bed 100 and the patient ID of the patient using the bed 100 as management data. The notification setting unit 210 can read out the data from the storage unit 250, and determine whether the patient ID is associated with the bed 100 that is the processing target. ​

[0080] If there is a patient on the bed 100 (step S301: Yes), in step S302, the notification setting unit 210 sets the value of the patient load information of the target patient to 1. Note that 1 here is an example of a reference value of the patient load information value, and other values ​​may be set.

[0081] Next, in step S303, the notification setting unit 210 adds a specified value to the value of the patient load information based on the load master data. For example, the notification setting unit 210 may also determine the patient load information based on at least one of the patient's fall risk and the risk of falling. The fall risk indicates the risk of the patient falling. Falls here include, for example, falls while walking, falls in the toilet, falls when going up and down stairs, and other falls in various places and scenarios. In addition, the risk of falling indicates the risk of the patient falling from the bed 100, chair, wheelchair, etc. Accordingly, the patient load information can be set according to the level of the fall risk. For example, the storage unit 250 may store information indicating the patient's fall risk in association with the patient, and the notification setting unit 210 may read the information from the storage unit 250.

[0082] Figure 8 is an example of load master data in this embodiment. Figure 8 As shown in No. 1 to 3 of , for example, the load master data of this embodiment may also include data associating the degree of the risk of falling with the added value of the patient's load information. Here, the degree of the risk of falling is evaluated at three levels: I, II, and III, and the corresponding added values ​​(load values) are associated with 0.5, 1.0, and 1.5, respectively. In terms of the risk of falling, I represents a relatively low-risk state, and III represents a relatively high-risk state. In addition, Figure 8 Although omitted in the example, a level indicating that the risk of falling is sufficiently small (eg, no risk of falling) may be set, and 0 may be associated with the level as an added value.

[0083] For example, in step S303, the notification setting unit 210 specifies the level of the risk of falling by referring to the electronic medical record of the patient to be processed. Figure 8 The patient load information master data is used to identify an additional value corresponding to the patient's fall risk, and the identified additional value is added to the patient load information value. For example, if the patient's fall risk is III, for which the patient load information value was set to 1 in step S302, the notification setting unit 210 updates the patient load information value to 2.5 by adding 1.5.

[0084] Alternatively, the notification setting section 210 can calculate the patient load information based on information related to the patient's room. The information here is, for example, the distance from the nurse station that is the base of the nursing staff. As Figure 8 As shown in FIGS. 4 and 5, for example, the load master data of the present embodiment can include data that associates the distance from the nurse station to the patient's room and the added value of the patient load information. Here, the distance is evaluated in two levels of near and far, and 0.0 and 1.5 are respectively associated as the corresponding added values (load values). According to this, the patient load information can be set according to the ease of access to the patient's room.

[0085] Figure 9 This is an example of ward master data that indicates the attributes of the ward. The ward master data is information that associates the ward code that specifically designates the ward, the ward code that specifically designates the ward, and the distance from the nearest nurse station to the target ward. The ward master data is stored in the storage section 250, for example. In addition, the storage section 250 can store data that associates the patient ID of the patient and the room ID (ward code) that indicates the patient's room as management data.

[0086] In step S303, the notification setting section 210 reads out the data from the storage section 250, and specifically designates the ward code that indicates the patient's room. The notification setting section 210 specifically designates the distance from the patient's room to the nurse station by referring to the ward master data. Then, the notification setting section 210 specifically designates the added value corresponding to the distance by referring to the load master data of the Figure 8 ward master data, and adds the specifically designated added value to the value of the patient load information. For example, in the case where the distance from the patient's room to the nurse station is "far" and the value of the patient load information is set to 1 by the processing of step S302, the notification setting section 210 updates the value to 2.5 by adding 1.5 to the patient load information.

[0087] Further, the above illustrates the distance based on the nurse station, but the method of the present embodiment is not limited to this. For example, in the case where the position information of the nursing staff can be measured, the notification setting section 210 can periodically calculate the current position of the nursing staff in charge of the patient and the position of the patient's room, and update the patient load information based on the distance and the load master data.

[0088] In addition, the ward master data can include information that indicates attributes other than the distance of the ward. The attributes of the ward are, for example, information that indicates whether it is a general ward or a sterile room. In this case, Figure 8The load master data can also include data associating a general ward with an addition value of 0.0 and data associating a sterile room with an addition value of 2.0. In this case, in the case of the sterile room as the target, the addition value associated with the sterile room is relatively large because the load due to the wearing of a sterilization and cleaning suit is large.

[0089] Alternatively, the notification setting section 210 can also calculate the patient load information based on the illness information related to the illness of the patient. For example, in the case where the patient is a patient who has undergone surgery, the patient load information can be calculated based on the illness information. For example, in the case where the patient is a patient who has undergone surgery, the patient load information can be calculated based on the illness information. Figure 8 The load master data of the present embodiment can also include data associating an illness of the patient with an addition value of the patient load information, although not illustrated in FIG. 6. For example, the load master data can also include data associating "disability of limbs" with an addition value of 1.0 and data associating "cerebral infarction" with an addition value of 2.0. In addition, the load master data can also include data associating "within Y days after surgery" with an addition value of Z. Here, the values of Y and Z can be a group of values that can be set to one or more values. For example, 3.0 can be set as the addition value for "within 3 days after surgery" and 1.5 can be set as the addition value for "within 7 days after surgery". In addition, the illness (disability, past medical history) included in the load master data is not limited to the above examples, and various illnesses such as visual impairment, dementia, and epilepsy can be applied. The illness information is stored in the storage section 250, for example.

[0090] At this time, the notification setting section 210 can also calculate the patient load information based on the electronic medical record of the patient. The electronic medical record includes information indicating the diagnosis result by the doctor, for example. The information processing apparatus 200 of the present embodiment is assumed to be able to cooperate with the system in the hospital, and the electronic medical record is stored in the storage section 250, for example. Therefore, since the processing load at the time of referring to the electronic medical record is low, the patient load information can be calculated using accurate information based on the judgment of an expert without increasing the system load.

[0091] In addition, the process of calculating the patient load information is not limited to a process using only any one of the fall and tumble risk, the ward, and the illness, and can be a process of combining two or more of them. For example, in the case where the patient has a fall and tumble risk of level II and the ward is far from the nurse station, the patient load information can be updated to 3.5, which is the sum of 1 for the reference value and 1.0 and 1.5.

[0092] Through the processing of steps S302-S303 described above, the patient load information of the target patient is obtained. Next, in step S304, the notification setting unit 210 determines whether the notification setting is on for the target patient (certain notification conditions have been associated). When the notification setting is on, the value of the patient load information is added to the ward load information. On the other hand, when the notification setting is off, since the notification processing related to the target patient is not originally performed, it is not assumed that a load is generated for the patient when responding to the notification processing. In this case, the value of the patient load information is not added to the ward load information. By executing the processing of step S304 for all patients hospitalized in the target ward, the total value of the patient load information of the patients for whom the notification setting has been performed is obtained as the ward load information. As described above, since the patient load information is information reflecting the status of each patient, it is considered that the ward load information is a value obtained by highly accurately estimating the load of the nursing staff for the notification processing in units of wards.

[0093] 3.3 Recommended notification processing execution conditions In addition, after calculating the patient load information and updating the ward load information as needed ( Figure 7 In steps S302-S304), the notification setting unit 210 may also determine the notification conditions recommended for the target patient. For example, in step S305, the notification setting unit 210 determines whether the patient's condition matches any of the data in the master determination data. Several specific examples of master determination data are described below.

[0094] 3.3.1 Allowable range of movement For example, the notification setting unit 210 may determine the execution conditions of the notification process recommended to the patient based on the movement range permitted by the patient. Figure 10 This is an example of the decision master data used in the recommended notification condition determination process. Figure 10 As shown, the determination master data here may be data in which the patient's permissible movement range indicated by the electronic medical record, the pictogram, and the recommended notification condition are associated with each other.

[0095] For example, if a caregiver has detailed access to information such as electronic medical records, they can provide appropriate care tailored to the patient. However, since a caregiver is assumed to be responsible for multiple patients, it is not easy to accurately grasp a large amount of information about all patients in advance. Moreover, among caregivers, there are also people who are responsible for auxiliary care of patients, or people who are only responsible for care in specific areas such as rehabilitation training. These caregivers also have less contact with the target patients and may find it difficult to grasp the detailed information of the patients in advance.

[0096] Therefore, in this embodiment, pictograms that are visually easy to understand can also be managed in association with the patient's condition.Figure 10 In the example of FIG. 9, the patient's status indicates a range of permitted movement, specifically, a status including in-hospital freedom, ward-in freedom, room-in freedom, and movement prohibition. The in-hospital freedom indicates a state in which movement within the hospital is not restricted. The ward-in freedom indicates a state in which movement within the ward is not restricted, but leaving the ward is restricted. The room-in freedom indicates a state in which movement within the room is not restricted, but leaving the room is restricted. The movement prohibition indicates a state in which leaving the bed 100 is restricted.

[0097] For example, in the present embodiment, mutually non-repeating pictogram codes can be respectively assigned to the in-hospital freedom, the ward-in freedom, the room-in freedom, and the movement prohibition. Further, one pictogram is associated with one pictogram code. The pictogram code here is, for example, numerical data, but other forms of data can also be used. If it is numerical data, for example, the in-hospital freedom, the ward-in freedom, the room-in freedom, and the movement prohibition are respectively assigned the numerical values 1, 2, 3, and 4. Figure 10 In the example of FIG. 9, the four pictogram codes corresponding to the in-hospital freedom, the ward-in freedom, the room-in freedom, and the movement prohibition are respectively associated with pictograms of different human figures in terms of color or pattern.

[0098] By thus associating the patient's status with a pictogram, the patient's status can be informed to nursing staff using a pictogram that is visually easy to understand. For example, by using the pictogram shown in FIG. 9, even nursing staff who have little contact with the patient can easily grasp the range of movement permitted for the patient. Hereinafter, the pictogram will be referred to as a "pictogram code". Figure 10 Figure 18 An example of a display screen using a pictogram will be described. However, in the present embodiment, it is not necessary to use a pictogram code, and other data can also be used as long as the patient's status, such as the range of permitted movement, can be recognized.

[0099] For example, the notification setting section 210 acquires the pictogram code to be assigned to the patient by reading out the electronic medical record from the storage section 250. Further, hereinafter, the pictogram will be referred to as a "pictogram code". Figure 19 Figure 20 A process of assigning a pictogram code (pictogram) to a patient will be described.

[0100] Then, in step S305, the notification setting section 210 determines whether there is a pictogram code that coincides with any one of the in-hospital freedom, the ward-in freedom, the room-in freedom, and the movement prohibition, among the pictogram codes to be assigned to the patient, on the basis of the determination main data. Figure 7 Figure 10 For example, the notification setting section 210 determines the recommended notification condition on the basis of the determination result using the determination main data, in the case where the pictogram code corresponding to the in-hospital freedom is assigned to the patient (step S305: Yes). In the case where the pictogram code corresponding to the ward-in freedom is assigned to the patient, the notification setting section 210 determines the recommended notification condition on the basis of the determination result using the determination main data (step S306).

[0101] For example, the notification setting section 210 determines the recommended notification condition on the basis of the determination result using the determination main data, in the case where the pictogram code corresponding to the in-hospital freedom is assigned to the patient (step S305: Yes). In the case where the pictogram code corresponding to the ward-in freedom is assigned to the patient, the notification setting section 210 determines the recommended notification condition on the basis of the determination result using the determination main data (step S306). Figure 10 ​​​The notification setting section 210 determines that the recommended notification condition is "monitoring" in a case where the pictogram code corresponding to the freedom within the ward is assigned to the patient. The notification setting section 210 determines that the recommended notification condition is "getting out of bed" in a case where the pictogram code corresponding to the freedom within the room is assigned to the patient. The notification setting section 210 determines that the recommended notification condition is "sitting position" or "getting up" in a case where the pictogram code corresponding to the movement prohibition is assigned to the patient.

[0102] Accordingly, the user can be prompted to make a proper setting of the notification condition in accordance with the allowable range of movement. For example, in a case where the patient is assigned the pictogram code corresponding to the freedom within the room, the notification setting section 210 can determine that the recommended notification condition is "getting out of bed" or "sitting position". Figure 5 In the display processing shown in step S104, the display processing section 220 can also display a setting screen including the recommended notification condition on the display section. Hereinafter, the display processing section 220 is referred to as a "notification setting section 210". Figure 17 A specific example is described. Further, in a case where the pictogram code assigned to the patient does not correspond to the determination master data (step S305: No), the processing of step S306 is omitted.

[0103] 3.3.2 Movement device Further, the processing using the determination master data shown in step S305 is not limited to the above example. For example, the notification setting section 210 can also determine the execution condition of the notification processing recommended to the patient on the basis of the movement device of the patient.

[0104] Figure 11 is another example of the determination master data. Figure 11 The determination master data shown in is, for example, also composed of a pictogram code indicating the movement device of the patient, a category of the notification condition (determination data), a determination condition, a condition determination formula, and an attribute.

[0105] The pictogram code is associated with a particularly specified pictogram as in the above example. Figure 12A is a pictogram associated with the movement device of the patient. For example, in the present embodiment, as the movement device, the categories of walking, crutch, wheelchair, walker, and bed movement are set in advance, and are respectively assigned with pictogram codes. Here, the pictogram code of walking is 110, the pictogram code of crutch is 120, and the pictogram code of wheelchair is 130. As for the walker and bed movement, codes not duplicating the pictogram codes indicating other movement devices are also assigned. Further, the pictogram code of the walker is 140, and the pictogram code of the bed movement is 150. Figure 12A The pictogram indicating walking is associated with the pictogram code 110, the pictogram indicating crutch is associated with the pictogram code 120, and the pictogram indicating wheelchair is associated with the pictogram code 130 in the pictogram shown in.

[0106] Further, as shown in Figure 12AAs shown, data including text or the like can also be used for a state such as "quiet on bed" that is difficult to represent with a pictogram. In the present embodiment, for example, a reminder code can also be assigned for a state that is difficult to represent with a pictogram, and data including text representing the state is associated with one reminder code. In this case, it is also possible to prompt the state of the patient as a text icon, and thus it is possible to inform the caregiver in a manner in which the state of the patient can be easily understood.

[0107] Returning to Figure 11 The description will be continued. In Figure 11 In the determination master data shown, determination data, determination conditions, and condition determination formulas are associated with a pictogram code. The determination data represents the attribute of a notification condition, and in this case, a case in which patient notification conditions (in a narrow sense, notification conditions related to the position, posture, sleep / wake of the patient) are taken as objects is shown. The determination conditions represent the criteria of a condition determined based on the state of the patient. The condition determination formula refers to information representing the range of a condition, and specifically, it can be data representing any one of "same", "larger than it", and "smaller than it" with the determination conditions as criteria.

[0108] Further, "larger" in the condition determination formula represents, for example, the scale in which the action of the patient is permitted, and for example, in the patient notification conditions, the size relationship can be specified in the order of (care > out of bed > sitting position > getting up > wake). Further, in the case where there is a notification condition representing "not set" indicating that the setting of the notification condition is not performed, the "not set" can be set on the larger side than "care", or on the smaller side than "wake". In addition, as used in the following Figure 13 As described, in the case where the notification condition is a condition related to the movable range of the bed 100 (bed current state), the size relationship can also be determined based on the numerical value of the height or angle.

[0109] The condition is specified in particular by the combination of the determination conditions and the condition determination formula. Figure 11 The attribute in the determination master data refers to data specifying in particular whether the specified condition is a recommended notification condition or a non-recommended notification condition. Further, in the Figure 11 An example in which a column for specifying recommendation / non-recommendation in particular is included in the determination master data is shown in the determination master data, but the processing of the present embodiment is not limited thereto. For example, a list (white list) composed of data including recommended conditions and a list (error list) composed of data including non-recommended conditions can also be managed as different determination master data respectively.

[0110] The notification setting unit 210 specifically specifies a pictogram code associated with the patient, and specifically specifies a recommended notification condition or a non-recommended notification condition based on the judgment condition and condition judgment formula associated with the pictogram code. Moreover, the notification setting unit 210 prompts the setting of the completed notification condition to be changed when the notification condition set for the patient is inconsistent with the recommended notification condition, or when the notification condition set for the patient is consistent with the non-recommended notification condition. In addition, the notification setting unit 210 may also prompt the addition of notification conditions when the notification conditions are not set for the patient. The change / addition of notification conditions is performed, for example, by displaying a setting screen on the display unit (display unit 260 or display unit 310) via the display processing unit 220.

[0111] A specific example will be described. For example, the data (110) representing walking is assigned to the target patient as a pictogram code. In this case, first, the notification setting unit 210 Figure 11 The judgment master data searches for the pictogram code corresponding to walking and extracts the first line of data ( Figure 7 Furthermore, the notification setting unit 210 determines that the condition is "monitoring," the conditional judgment formula is "same as," and the attribute is "recommended," and therefore determines that the recommended notification condition is "monitoring" (step S306). This is because, if the pictogram code is "walking," the subject patient is considered to be able to walk independently, and therefore, the need for detailed management of activities on the bed 100 or short periods of time out of bed is low.

[0112] Next, the notification setting unit 210 compares the notification condition set for the target patient with the recommended notification condition. Here, the notification condition "upright position" is set for the target patient. In this case, since "upright position" and "monitoring" are different, the notification setting unit 210 determines that the notification condition set is inconsistent with the recommended notification condition. Therefore, the notification setting unit 210 outputs "monitoring" as the recommended notification condition. For example, in Figure 5 In step S104 , the display processing unit 220 may display a setting screen including the recommended notification conditions on the display unit.

[0113] The same applies to other pictogram codes. For example, if the pictogram code is a crutch, the patient, while requiring a crutch, is able to move independently to a certain degree. Therefore, the need for detailed management of activities in bed 100 or short periods of time out of bed is low. Therefore, based on the determination conditions, the condition determination formula, and the attributes, the notification setting unit 210 determines "monitoring" as the recommended notification condition. Then, based on a comparison of the set notification conditions with the recommended notification conditions, the notification setting unit 210 determines whether to present the recommended notification condition to the user.

[0114] In addition, in a case where the pictogram code is a wheelchair, the determination condition is "sitting position", the condition determination formula is "greater than it", and the attribute is "not recommended". Therefore, the notification setting section 210 determines "monitoring" and "leaving bed" as the not recommended notification conditions on the basis of such a size relationship (monitoring > leaving bed > sitting position > getting up > waking up). Since the patient using the wheelchair cannot move independently, the patient needs to be transferred by a nursing staff before leaving bed, for example, at the stage of becoming a sitting position. That is, the data here corresponds to a case where it is considered that it is not preferable to perform the notification processing at or after leaving bed for "monitoring" and "leaving bed".

[0115] Further, the notification setting section 210 performs a comparison process of the set completed notification conditions and the not recommended notification conditions. For example, the notification setting section 210 can also perform a process of particularly designating the notification conditions other than the not recommended notification conditions as the recommended notification conditions in a case where the set completed notification conditions are included in the not recommended notification conditions (step S306 of FIG. 10). Figure 7 Here, the notification conditions other than the not recommended notification conditions mean the patient notification conditions other than "monitoring" and "leaving bed", for example, a set of "sitting position", "getting up", and "waking up".

[0116] In addition, Figure 11 The fourth line of FIG. 10 is an example in which the pictogram code indicates a state of "notification setting is needed". For example, the pictogram code of "notification setting is needed" is given to a patient who has some problems in the state or the like. In this case, the determination condition for the notification setting section 210 is "not specified", the condition determination formula is "the same as it", and the attribute is "not recommended". "Not specified" indicates an empty set of any one of "monitoring", "leaving bed", "sitting position", "getting up", and "waking up" belonging to the patient notification conditions, which is not set. That is, in this case, the notification conditions as the empty set are determined as the not recommended notification conditions. For example, in a case where any one of the notification conditions included in the patient notification conditions is not set, the current notification conditions coincide with the not recommended notification conditions, and therefore the notification setting section 210 recommends the change of the notification conditions. The recommended notification conditions are a set of "monitoring", "leaving bed", "sitting position", "getting up", and "waking up" belonging to the patient notification conditions, which is a complement of the empty set. That is, the notification setting section 210 recommends the setting of any one of the patient notification conditions.

[0117] Further, the above shows an example in which the data attribute of the first line and the second line of FIG. 10 is "recommended", and the data attribute of the third line and the fourth line is "not recommended", but is not limited thereto. Figure 11

[0118] ​For example, in the case of a patient using a wheelchair, notification conditions such as "sitting up," "standing up," and "waking up" can provide advance notification of the need for transfer assistance. However, this can increase the burden on caregivers due to frequent notification processing. Therefore, from the perspective of reducing the frequency of notifications and focusing on detecting abnormalities such as the wheelchair user leaving the bed 100, the possibility of forcibly setting notification conditions such as "monitoring" and "leaving the bed" is also considered.

[0119] In this case, Figure 11 The attribute of the third row of the master judgment data is "recommended". In this example, the attribute changes depending on whether intensive care is prioritized or the frequency of notification is reduced. As can be seen from the above examples, in this embodiment, data including the same judgment conditions and conditional judgment formulas can be processed as data indicating recommended notification conditions or as data indicating non-recommended notification conditions. For example, Figure 11 The values ​​of the attribute columns shown may also be changed based on user operations. Alternatively, the notification setting unit 210 may change the attribute values ​​based on the relationship between the latest ward load information and the allowable load information.

[0120] Furthermore, the ability to change attributes is not limited to data corresponding to a wheelchair. Figure 11 The data in other rows of the judgment master data shown and the data used later Figure 13 and Figure 14 The same applies to the data in each row of the aforementioned judgment master data.

[0121] 3.3.3 Movable range of bed In addition, the pictogram code used in this embodiment and the pictogram associated with the pictogram code are not limited to mobile devices. Figure 12B As shown, the patient's condition can also represent the movable range of the bed 100 recommended to the patient. For example, in this embodiment, as the back angle of the bed 100, the following distinctions are pre-set: 30° or less, 45° or less, and 60° or less, and each is assigned a pictogram code. For example, the pictogram code for 30° or less is 210, the pictogram code for 45° or less is 220, and the pictogram code for 60° or less is 230. Figure 12B Among the pictograms shown, the pictogram indicating an angle of less than 30° is associated with pictogram code 210, the pictogram indicating less than 45° is associated with pictogram code 220, and the pictogram indicating less than 60° is associated with pictogram code 230. Furthermore, data including a warning code and text is used for the "no head-up" state.

[0122] Figure 13 This is another example of determining master data. Figure 13 The decision master data shown can also be used with Figure 11The determination master data shown similarly includes data associating pictogram codes, notification condition types (determination data), determination conditions, conditional determination formulas, and attributes. The determination data here represents the current state of the bed, indicating the notification conditions related to the movable range of the bed 100.

[0123] For example, 130 corresponding to a wheelchair is assigned to the target patient as a pictogram code. In this case, Figure 7 In step S305, the notification setting unit 210 receives the Figure 13 The judgment master data searches for the pictogram code corresponding to the wheelchair and extracts the first row of data. Moreover, for the notification setting unit 210, the judgment condition is "the height of the bed is X cm", the conditional judgment formula is "larger than", and the attribute is "not recommended", so Figure 7 In step S306, it is determined that "greater than the bed height X cm" is not a recommended notification condition. Therefore, the notification setting unit 210 determines that the recommended notification condition is "bed height X cm or less." In the case of a patient using a wheelchair, the patient needs to be transferred from the bed 100 to the wheelchair. Moreover, it is known that the height of the bed 100 is high enough to facilitate transfer assistance. In other words, "greater than the bed height X cm" is a preferred state that does not require notification. Therefore, if the opposite notification condition, "bed height X cm or less," is set, the caregiver can be notified that the bed 100 is too low to be suitable for transfer.

[0124] The notification setting unit 210 determines whether the set notification condition matches the recommended notification condition "bed height X cm or less." If not, the notification setting unit 210 presents the recommended notification condition "bed height X cm or less" to the user.

[0125] In addition, when a pictogram code indicating a 30° head-up limit is given to the patient, the notification setting unit 210 extracts Figure 13 The notification setting unit 210 determines that the recommended notification condition is "larger than 30° of the bed angle" based on the determination condition, the condition determination formula, and the attribute. The notification setting unit 210 determines whether the notification condition that has been set is consistent with the recommended notification condition "larger than 30° of the bed angle". In the event of inconsistency, the notification setting unit 210 performs a process of prompting the user with the recommended notification condition. Based on this, it is possible to recommend a notification setting that warns users that their back angle is too high, even if they do not prefer excessive head-up. The same applies to the head-up limit of 45° and the head-up limit of 60°.

[0126] In addition, when the pictogram code representing watery sauce is given to the patient, the notification setting unit 210 extracts Figure 13the fifth line of data. The water rice is a pictogram code indicating that a certain amount of rice is added to the diet of the patient. The notification setting section 210 determines that the recommended notification condition is "less than 30° of the bed angle" based on the determination condition, the condition determination formula, and the attribute. Since the patient who needs rice in the diet has a decreased swallowing ability, it is desirable to increase the back angle of the bed 100 to some extent when eating. That is, in a case where such a patient is the target, by executing the notification process with the condition that the bed angle is prescribed or less, adjustment of the back angle that makes swallowing easy can be promoted.

[0127] The notification setting section 210 determines whether the set completed notification condition and "less than 30° of the bed angle" as the recommended notification condition coincide. In the case of non-coincidence, the notification setting section 210 performs a process of prompting the user of the recommended notification condition. Thereby, it is possible to recommend that the swallowing of the patient with a low swallowing ability be assisted by raising the head.

[0128] 3.3.4 Combination of the disease and the like Using Figure 10 - Figure 13 The process of associating information based on the allowable moving range, the moving device, the movable range of the bed 100, and the like with the pictogram code has been described. However, the method of the present embodiment is not limited to the process using the pictogram code.

[0129] Figure 14 is another example of the determination master data. Figure 11 The determination master data illustrated in FIG. 10, for example, can also include the patient profile, the category of the notification condition (determination data), the determination condition, the condition determination formula. In addition, in Figure 14 is omitted, but the determination master data can also include the attribute of the special designation of the recommendation / non-recommendation as in the examples of Figure 11 and Figure 13 .

[0130] As illustrated in Figure 14 , the patient profile can also refer to the disease, the past medical history, the surgery date, the risk of falling, and the like. As for the determination data, the determination condition, and the condition determination formula, it is the same as the determination master data of Figure 11 and the like. Thereby, it is also possible to recommend the appropriate notification condition according to the disease for the state (disease) of the patient who is difficult to use the pictogram code.

[0131] For example, a patient with a four-limb disability can be recommended a detection of getting up, or a notification condition that takes into account a bed height that is easy to move. Also, for a patient with a visual impairment, assistance can be taken into account when leaving the bed 100, and a notification condition based on a "sitting position" can be recommended. Also, a patient with a history of epilepsy is likely to have a sudden fall, and the like, and thus a notification condition based on "nursing" can be recommended. A patient with a history of surgery can be recommended a notification condition corresponding to the number of days that have passed from the day of surgery, and a notification condition based on "nursing". Also, for a patient with a slight risk of falling (a patient with a falling risk level of I), a notification condition based on a "sitting position" can be recommended from the viewpoint of suppressing a fall from the bed 100, or a fall during movement.

[0132] Further, the conditions associated with the disease included in the patient profile are not limited to Figure 14 The above-described embodiments can be implemented in various ways.

[0133] Also, the above illustrates various determination master data, but the possibility that the state of the patient or the bed 100 matches a plurality of records included in the determination master data is also taken into account. The record here indicates one line of data in the determination master data. Matching with the record means a case where the state of the patient, and the like, satisfies the condition determination formula included in the record.

[0134] For example, a case is considered where the state of the patient satisfies the condition determination formula of a first record with an attribute of "recommendation", and satisfies the condition determination formula of a second record with an attribute of "non-recommendation". In this case, if the first record is taken into account, the notification condition that should be recommended becomes the set completion, and thus there is no need for a recommendation of change. On the other hand, if the second record is taken into account, the notification condition that is not recommended becomes the set completion, and thus a recommendation of change is expected to be made. In this case, the notification setting section 210 can also perform processing related to all records that satisfy the condition determination formula. For example, the notification setting section 210 can also extract records with an attribute of "recommendation" that do not satisfy the condition determination formula, and all records with an attribute of "non-recommendation" that satisfy the condition determination formula, and recommend the recommended notification condition for all of the records.

[0135] Alternatively, the notification setting section 210 can also set a priority order among the records, and perform processing related to only the records with a high priority order. For example, in the method of the present embodiment, determination master data in which the conditions represented by a plurality of records contradict each other can also be used. In this case, a priority order can also be set at least among the records in which the conditions conflict, and processing according to the priority order can be performed.

[0136] Alternatively, in the method of this embodiment, similar conditions may be used, that is, records that easily satisfy the notification conditions (loose conditions) and records that do not easily satisfy the notification conditions (strict conditions) may coexist in the judgment master data. Figure 11 When using pictogram codes in this way, the master data can also include multiple records for the same pictogram code. For example, for the pictogram code "walking", records indicating recommended conditions such as "monitoring" and "the same" and records indicating recommended conditions such as "leaving the bed" and "the same" can coexist. In this case, because the latter is notified at the stage of "leaving the bed" that is earlier than "monitoring", notification processing is easier. In this case, as in the above example, a priority order can be set between the records, and processing according to the priority order can be executed. In this case, records with loose conditions can be prioritized, or records with strict conditions can be prioritized.

[0137] 3.4 Allowable load information Next, Figure 5 The process of obtaining the permissible load information shown in step S102 will now be described. The notification setting unit 210 may also determine the permissible load information based on a history of ward load information and a history of time information indicating the time required for the nursing staff to respond to the notification. This allows the permissible load information to be obtained based on the estimated level of load that the nursing staff can handle based on past nursing history.

[0138] Figure 15 This is a flowchart illustrating the process of obtaining allowable load information. First, in step S401, the notification setting unit 210 reads past data from the storage unit 250. For example, the notification setting unit 210 obtains a history of ward load information for the past month, a history of the number of nursing staff working in the target ward, and a history of the time required from notification processing to the nursing staff until the nursing staff responded.

[0139] As above use Figure 7 As described above, since patient load information and ward load information can be obtained from information such as electronic medical records, the notification setting unit 210 can obtain a history of ward load information by managing the ward load information obtained at each time point in association with that time point. Furthermore, the hospital's work records can be used to identify when and in which ward a nursing staff member worked. Therefore, by referencing these work records, the notification setting unit 210 can obtain a history of the number of nursing staff members.

[0140] Further, the information processing apparatus 200 can store a history of which patient was notified and how the notification processing was handled to the storage section 250. Further, the nursing staff can register information indicating the meaning in the information processing apparatus 200 via the terminal apparatus 300 in a case where the handling of the notification processing was performed. The notification setting section 210 can acquire a history of a time required from the notification processing to the handling by the nursing staff by referring to the information related to the notification processing and the handling.

[0141] In step S402, the notification setting section 210 calculates an actual load index Z by dividing the ward load information by the number of nursing staff. The actual load index Z is information indicating a load per nursing staff in the past history. Thus, the notification setting section 210 can acquire a plurality of sets (Z, E) of the actual load index Z and the value of the time E required from the notification processing to the handling completion.

[0142] Further, in step S402, the notification setting section 210 calculates a regression equation Z = f(E) by performing regression analysis based on the plurality of sets (Z, E) of values. Further, the function f here can be a linear function or a nonlinear function. Various methods of calculating a regression equation are known, and in the present embodiment, since these methods can be widely applied, detailed description is omitted.

[0143] In step S403, the notification setting section 210 acquires target information indicating a target time for handling the notification processing. The target information can be a value set in advance or numerical data input by the user in a setting screen described below. Figure 17 The notification setting section 210 calculates f(T) from the target time T indicated by the target information and the regression equation.

[0144] Here, the value of f(T) indicates an actual load index estimated to be able to handle the notification processing in the target time T based on the past history. Further, as described above, the actual load index is information indicating a load per nursing staff in the past history. Thus, the notification setting section 210 acquires the number of nursing staff working in the target ward during a period that becomes a calculation target of the allowable load information, and calculates a product of the number of nursing staff and f(T). The product is a load estimated to be able to handle the notification processing in the target time T in the entire ward, and corresponds to the allowable load information in the present embodiment.

[0145] Figure 16 is a graph illustrating the above processing. In Figure 16 here, the vertical axis indicates the time E required from the notification processing to the handling completion, and the horizontal axis indicates the actual load index Z. Here, as illustrated by the The regression equation Z = f(E) is calculated as shown in the solid line of the prediction chart. In this example, 5 minutes is input as the target time T. In this case, the point in the prediction chart where the value of the vertical axis is 5 (minutes) is the point where the value of the horizontal axis is 10. Therefore, the value of f(T) becomes 10, and it is known that the load allowable for one nursing staff is 10. Thus, the notification setting section 210 calculates the allowable load information based on the product of the number of nursing staffs in charge of the ward and the load per person, which is 10.

[0146] Further, as shown in Figure 16 , the notification setting section 210 can also calculate the 95% confidence interval based on a plurality of sets of values (Z, E). In Figure 16 , the dash-dot line is a graph showing the upper limit 95%, and the broken line is a graph showing the lower limit 95%. The notification setting section 210 can also calculate the actual load index based on either the target information (target time T) and the upper limit 95% or the lower limit 95% of the graph, and calculate the allowable load information by the product of the actual load index and the number of nursing staffs.

[0147] According to the example of Figure 16 , the upper limit 95% indicates data in the case where the response to the notification process takes time. That is, in the case where the upper limit 95% is used, the allowable load is estimated to be lower. Accordingly, the user is prompted to make an adjustment in the direction of reducing the number of patients for which the notification condition is set ON, and thus, it is possible to reduce the burden on the nursing staffs.

[0148] In addition, the lower limit 95% indicates data in the case where the response to the notification process is completed smoothly. That is, in the case where the lower limit 95% is used, the allowable load is estimated to be higher. Accordingly, the user is prompted to make an adjustment in the direction of increasing the number of patients for which the notification condition is set ON, and thus, it is possible to provide careful nursing to the patients.

[0149] Further, the interval calculated from the past history is not limited to the 95% confidence interval, and various statistical quantities calculated from the history can be used for determination of the allowable load information.

[0150] In addition, the above describes an example in which the value of the allowable load information is simply the product of f(T) and the number of nursing staffs, but the method of the present embodiment is not limited thereto. For example, depending on the skills of the nursing staffs, if there is also a case where nursing that can complete a relatively large load within the target time is possible, a case where nursing that can only perform a relatively small load is also considered. Therefore, the notification setting section 210 can also calculate the allowable load information by performing processing that takes into account the skills of the nursing staffs on the value of f(T).

[0151] For example, the notification setting section 210 can also calculate the load that the nursing staff can tolerate by multiplying f(T) by a coefficient a determined in accordance with the skill of the nursing staff, that is, a x f(T). The a here is, for example, a coefficient that becomes 1 in the case of a nursing staff with standard skill, and the higher the skill, the larger the coefficient, and the lower the skill, the smaller the coefficient. The skill of the nursing staff is determined, for example, on the basis of the nursing staff's possession qualifications, years of service, evaluations from management supervisors, and the like stored in the storage section 250.

[0152] The notification setting section 210 calculates the allowable load information by calculating the sum of a x f(T) calculated for each nursing staff. By this, processing that takes into account the skills of the nursing staff can be performed, and thus the allowable load information can be calculated with high precision.

[0153] 3.5 Screen Display Next, an example of a screen displayed by the display processing section 220 on the display section 260 or the display section 310 will be described.

[0154] 3.5.1 Setting Screen Figure 17 is an example of a setting screen displayed in step S104 of Figure 5 For example, the setting screen displays a screen including the number of nursing staffs that are processing targets, the target time T that is target information, information indicating the relationship of the ward load information and the allowable load information, and the setting status of the notification condition for each patient. Further, the timing that is a processing target can be the current time or a future timing.

[0155] In the example of Figure 17 , the number of nursing staffs in charge of the target ward is displayed as 10, and 5 minutes is set as the target time T.

[0156] In addition, as the information indicating the relationship of the ward load information and the allowable load information, the object OB1 is displayed. The object OB1 includes a circular graph (ring graph) in a semicircular shape and a needle-shaped object indicating a prescribed position of the circular graph. For example, the indicated position of the needle-shaped object changes in accordance with the relationship of the ward load information and the allowable load information. For example, the center of the circular graph indicates a state in which the value of the ward load information and the value of the allowable load information are equal. With this state as a reference, the more the value of the ward load information decreases relatively, the more the indicated position of the needle-shaped object moves to the left, and the more the value of the ward load information increases relatively, the more the indicated position of the needle-shaped object moves to the right. By this, the user can be prompted about the relationship of the ward load information and the allowable load information in a visually easy-to-understand manner.

[0157] However, the information representing the relationship between the ward load information and the allowable load information may be, for example, information in which the value of the ward load information and the value of the allowable load information are listed side by side, or an icon whose content changes according to the ratio or difference between the value of the ward load information and the value of the allowable load information, or other forms of objects may be used.

[0158] In addition, Figure 17 In this example, the notification condition settings for each of the four patients are displayed. For example, Patients A and B have no notification conditions set (off). Meanwhile, Patients C and D have "leave bed" set as a notification condition. This allows the user to understand the notification conditions for each patient hospitalized in the target ward.

[0159] In addition, the display processing unit 220 may also display a setting screen including execution conditions (recommended notification conditions) of the notification process recommended to the patient on the display unit. Figure 17 In the example shown in FIG2 , the display processing unit 220 displays "Stand Up" as a recommended notification condition for Patients A and B, and "Sitting Upright" as a recommended notification condition for Patient D. This not only provides notification of the current status of the notification condition but also encourages the user to change the notification condition to suit the patient's condition.

[0160] Regarding the process of finding the recommended notification conditions, as above, Figure 10 - Figure 14 In addition, in the case where the target patient does not meet any of the determination master data, or meets the determination master data but the set notification conditions and the recommended notification conditions are consistent, the recommended notification conditions may not be displayed. Figure 17 In the example shown in FIG, no recommended notification condition is displayed for patient C.

[0161] In addition, if Figure 17 As shown, the display processing unit 220 may also display the reason for recommending the recommendation notification condition according to the recommendation notification condition. The reason here may be, for example, Figure 11 、 Figure 13 Pictogram code in the master data, or Figure 14 Patient profile in the master data of the decision. Figure 17 For example, Patient A's reason for recommendation, "limb disability," and Patient B's reason for recommendation, "within three days of surgery," are associated with the patient profile. Patient D's reason for recommendation, "a wheelchair is the patient's mobility device," is associated with a pictogram code. This allows the user to understand the reason for recommendation, thereby supporting the user's decision on whether to accept the recommendation notification conditions.

[0162] In addition, it is also possible to receive a change operation of the notification condition in the setting screen. Figure 17In this case, the "get up" and "sitting position" that indicate the recommended notification condition are objects (buttons or the like) that can be selected, and in a case where the user performs an operation of selecting the object, the operation content is transmitted to the notification setting section 210 of the information processing apparatus 200. The notification setting section 210 performs processing of changing the notification condition of the target patient to the recommended notification condition based on the received operation content. Alternatively, the change operation of the notification condition can not be limited to the selection operation of the recommended notification condition, and can be a selection operation in a drop-down menu, or an input operation using a text box, or the like, to change to an arbitrary notification condition.

[0163] When the notification condition is changed (for example, newly added), in a case where the notification processing related to the target patient is performed, the need for the caregiver to respond arises. Therefore, the notification setting section 210 performs processing of updating the ward load information by adding the patient load information of the target patient to the ward load information (from Figure 5 the step S106 to the processing of S101, and Figure 7 the step S304). The display processing section 220 updates the information indicating the relationship between the ward load information and the allowable load information by using the updated ward load information. According to Figure 17 the example, by the update of the ward load information, the position of the needle-shaped object indication moves in the right direction. In addition, it is also possible to delete the existing notification condition, and in this case, the notification setting section 210 performs processing of updating the ward load information by subtracting the patient load information of the target patient from the ward load information. As a result, according to Figure 17 the example, the position of the needle-shaped object indication moves in the left direction.

[0164] In addition, the notification setting section 210 can determine whether or not to permit the setting of the execution condition of the notification processing related to the patient for which the notification processing is not set, based on the comparison processing of the ward load information and the allowable load information. In a case where the notification setting section 210 determines to permit the setting of the notification condition and in a case where the notification setting section 210 determines not to permit the setting of the notification condition, the display processing section 220 can display different setting screens.

[0165] For example, as shown in Figure 17 , in a case where the value of the ward load information is smaller than the value of the allowable load information, and the caregiver is still in surplus, the notification setting section 210 can permit the addition of a new notification condition. In this case, for example, as shown in Figure 17As shown, the display processing unit 220 displays a setting screen including the recommended notification conditions for patients A and B whose notification conditions are not set. On the other hand, when the value of the ward load information is much larger than the value of the allowable load information and there is no surplus nursing staff, the notification setting unit 210 may also refuse to add new notification conditions. In this case, the display processing unit 220 displays a setting screen including the recommended notification conditions for patients A and B. For example, Figure 17 In the example, it is also possible not to display "standing up" of patients A and B.

[0166] In addition, the display / non-display of the recommended notification conditions is not limited to being determined jointly by multiple patients. For example, in a case where the value of the patient load information of patient A is small and the value of the patient load information of patient B is large, the impact of the additional notification conditions on patient A is smaller than that on patient B. Therefore, in a case where the value of the ward load information is much larger than the value of the allowable load information, the display processing unit 220 may also display a setting screen that includes the recommended notification conditions for patient A but does not include the recommended notification conditions for patient B. Alternatively, it may be considered that the need for nursing care for patient B is higher than that for patient A and should be given priority. Therefore, in a case where the value of the ward load information is much larger than the value of the allowable load information, the display processing unit 220 may also display a setting screen that includes the recommended notification conditions for patient B but does not include the recommended notification conditions for patient A.

[0167] Furthermore, the determination of displaying / non-displaying the recommended notification conditions is not limited to the case of adding new notification conditions, and can also be performed when the notification conditions are changed for patients whose notification conditions have already been set. Figure 18 As shown, the display processing unit 220 may also determine whether to display the setting screen for the recommended notification conditions including or excluding the recommended notification conditions for the D patient based on the relationship between the ward load information and the allowable load information.

[0168] 3.5.2 Screens including pictograms Figure 18 The patient screen displays information related to a specific patient and is an example of a screen including pictograms. Figure 18 As shown, the patient screen includes the patient's name, notification conditions, and pictograms corresponding to pictogram codes.

[0169] exist Figure 18 In the display, a patient named AAAA is displayed. In addition, an object OB2 is displayed, which indicates that a condition of "standing up" is set as a notification condition, that is, a condition of performing notification when more than 3 seconds have passed since the motion detection.

[0170] In addition, the display processing section 220 can display a screen including the object indicating the warning in a case where the notification condition set for the patient and the recommended notification condition are different. Figure 17 In this example, the object OB3 including the exclamation mark is displayed next to the name. Thereby, the user can be prompted to re-modify the notification condition.

[0171] Further, here, an example is shown in which the object OB3 indicating the warning is displayed in the screen displaying the individual information of the patient, but the present application is not limited thereto. For example, the display processing section 220 can display a setting screen including the object indicating the warning in a case where the execution condition recommended to the patient and the execution condition set for the patient are different. For example, the display processing section 220 can display the warning object in the setting screen shown in Figure 18 As described above, the change of the notification condition can be made in the setting screen, and therefore it is useful to prompt the re-modification of the notification condition in the setting screen.

[0172] In addition, the patient screen can include a pictogram matching the state of the patient. For example, in the case of the patient AAAA, since the mobile device is walking, 110 indicating walking is assigned as a pictogram code. In this case, the display processing section 220 displays the patient screen including the pictogram corresponding to this pictogram code 110. Also in Figure 10 , the patient screen is displayed including the pictogram (F) corresponding to the freedom within the ward, the pictogram corresponding to the state of permitting the intake of beverages, and the pictogram corresponding to the state of prohibiting the evening meal. Figure 19

[0173] In addition, the patient AAAA is associated with factors requiring special attention such as the need for blood glucose measurement, the wearing of a hearing aid on the left and right, going out, staying out, the prohibition of the intake of alcohol, and the preparation of a pre-meal medication. This information can be managed as a reminder code, for example, or as other information. The patient screen can include text indicating the content of the reminder code, for example.

[0174] In addition, the patient screen can include information such as the attending physician, the responsible nurse, the date of admission, the scheduled date of discharge, the medical department, and the like.

[0175] Figure 19 is an example of a setting screen for setting detailed notification conditions for each patient. Figure 18 The screen shown in Figure 17 , for example, can be displayed in a pop-up manner in a case where a prescribed operation is performed in the patient screen of Figure 19 Here, the prescribed operation is, for example, a selection operation of the object OB2 indicating the notification condition, but other operations can be used. The setting of the notification condition of the present embodiment can be made in the screen described above, or in Figure 19 ​The screen shown in the drawing is performed, and the screen can also be performed in either of the two.

[0176] In Figure 19 , for example, a toggle button that shows on / off of the operation notification processing (setting / non-setting of the notification condition) is displayed. In a case where the notification processing is set to on by the toggle button, the display processing section 220 displays buttons for selecting any one of "wake up", "get up", "sitting position", "out of bed", and "monitoring" as the notification condition related to the patient notification condition. In Figure 19 , "monitoring" is set, and therefore the display processing section 220 displays a plurality of buttons for selecting a time from movement to the outside of the ward (or out of bed) to the notification execution. Here, an example in which a button for 10 minutes is selected is shown. Further, in the determination of the patient notification condition, the load sensor 140 can be used for the determination. Therefore, the display processing section 220 can display a button for inputting the weight of the patient in order to set a reference value of the load. The notification setting section 210 sets the notification condition corresponding to the selected button to the patient in a case where a selection operation of the button is performed. In Figure 19 , since "monitoring" and "10 minutes" are in the selected state, the notification setting section 210 sets the notification condition "monitoring (10 minutes)" to the target patient.

[0177] Further, an example in which the patient here does not perform the necessary notification setting is considered. Therefore, as shown in Figure 18 , the display processing section 220 can also display a setting screen including the object OB4 that indicates the warning. The object OB4 here is an icon that indicates the bell and a warning text, but as is clear from the example of the object OB3 in Figure 20 , the manner of warning the object is not limited to this.

[0178] Figure 20 is an example of an editing screen for associating the patient and the pictogram (pictogram code). For example, the editing screen can also include the pictogram associated for each of a plurality of patients. According to Figure 18 , four pictograms of walking, freedom in the ward, and the like are associated with the AAAA patient (refer to Figure 12A ), and for the other patients, no pictogram is associated, and an icon such as "not set" is displayed.

[0179] For example, the display processing section 220 can also display a list of the settable pictograms in a case where a selection operation of any of the pictograms (icons) is performed. The list of the pictograms includes, for example, Figure 12B and Figure 10In addition, the list here may also include icons corresponding to reminder codes. When the user selects any pictogram in the list, the selected pictogram and the pictogram code corresponding to the pictogram are assigned to the target patient. In this way, each patient can be assigned a pictogram code corresponding to the patient's status. Figure 14 - Figure 18 As mentioned above, the pictogram code assigned here can be used for determining the recommended notification conditions, etc., and can also be used for Figure 5 The display process of the patient screen is shown.

[0180] 4. Execution timing of each process Next, the process of obtaining the ward load information ( Figure 7 A specific example of the execution timing of the process of obtaining the allowable load information (step S101) and the execution timing of the process of obtaining the allowable load information (step S102) will be described.

[0181] 4.1 Ward load information As described above, in the method of this embodiment, the load of nursing staff per ward when the notification process is performed is obtained as ward load information, and the relationship between the ward load information and the allowable load information is presented on a display screen such as a setting screen.

[0182] As above use Figure 7 As described above, for example, ward load information is calculated based on patient load information for multiple patients. Therefore, ideally, when the patient load information changes, the ward load information should also change accordingly. This can minimize the extent to which the ward load information value deviates from the actual load that nursing staff can incur. As a result, more appropriate notification settings can be implemented.

[0183] For example, the notification setting unit 210 can also obtain patient load information based on electronic medical records. Figure 8 As described in step S303, the notification setting unit 210 can also read out the disease condition information such as "limb disability", "cerebral infarction", "within Y days after surgery" from the electronic medical record, and add the value corresponding to the disease condition to the patient load information. In addition, the electronic medical record records Figure 5 In the case of the fall risk shown in Nos. 1 to 3, this information can also be read from the electronic medical record and used in the determination process of the patient load information.

[0184] In this case, the notification setting unit 210 may also use the update of the electronic medical record as a trigger to update the patient load information. For example, the notification setting unit 210 may periodically read the update history of the electronic medical record stored in the storage unit 250, etc., and execute the update when the electronic medical record is updated. Figure 7the processing of step S101. Details of the processing of step S101 are as described above using Figure 7 Specifically, the notification setting section 210 performs processing of adding a value of the patient load information to a prescribed value based on the readout result of the electronic medical record and the load parameter reference (step S303 of FIG. 3). Alternatively, in a case where an operation of updating the electronic medical record is performed from a terminal device used by a doctor, an execution instruction of the updating processing of the patient load information can be pushed to the notification setting section 210. Figure 7

[0185] Further, the notification setting section 210 updates the ward load information based on the updated patient load information (step S304 of FIG. 3). Thereby, in a case where a change in the patient's condition is recorded, the patient load information and the ward load information are quickly updated. Therefore, it is possible to suppress the value of the ward load information from deviating to a degree of the load that can actually be generated by the nursing staff. Figure 8

[0186] In addition, the notification setting section 210 can perform the processing of updating the ward load information at a timing of changing from any of the plurality of sub-periods to another sub-period, in a case where the length of the period of administration is divided into a plurality of sub-periods. In other words, the notification setting section 210 can perform the processing of updating the ward load information as a trigger of the change of the sub-period.

[0187] Here, the length of the period of administration can refer to one day, and the sub-period can refer to a period of dividing one day into a plurality of time periods such as morning, daytime, evening, and midnight. Thereby, it is possible to appropriately adjust the ward load information in one day.

[0188] For example, it is assumed that in the time period of midnight, most of the patients are in a sleep state. Therefore, the probability of an event (such as getting out of bed, etc.) that satisfies the notification condition occurring in the midnight is low compared to other time periods in which the patients are active. Even if there is a patient for whom a large load can be generated if the notification processing is performed, a load is not generated for the nursing staff if the notification processing related to the patient is not performed. That is, in the time period of midnight, since the probability of the notification processing occurring is low compared to other time periods, the degree of the load that can be generated is also relatively reduced. Alternatively, it is considered that since the patient's activity is small in the midnight, even if some notification processing is performed, the nursing staff's response is easy and the load is relatively small.

[0189] ​​Therefore, the notification setting section 210 can also correct the ward load information according to the sub-period. For example, as described above, because the generation probability of the nighttime notification processing or the load required for the response can be relatively low, the notification setting section 210 performs correction processing of reducing the value of the ward load information. In addition, the correction processing here is not limited to reducing the value of the ward load information in the nighttime period. For example, the notification setting section 210 can also perform correction processing of increasing the value of the ward load information in the daytime period when the patient is most active. Furthermore, various modifications can be made to the setting of the period of the day or the content of the correction processing in each period.

[0190] Furthermore, in the case of updating the ward load information, the value of the patient load information can also be updated for each patient, and the updated ward load information can be calculated based on the updated patient load information. For example, the notification setting section 210 can also perform processing of multiplying the value of the patient load information by a coefficient of the given set according to each patient. Or the storage section 250 can also store load master data that differs according to the period. Moreover, the notification setting section 210 can also calculate the patient load information for the period based on the pictogram code or the patient profile (condition information) associated with the patient and the load master data that coincides with the processing target period.

[0191] In the case of updating the patient load information like this for each sub-period, the ward load information can be finely adjusted. For example, in the case of using the load master data of Figure 15 , the range of the correction can be adjusted for each item in such a manner that the load value of the risk of falling and falling increases more in the daytime than in the nighttime, and the distance from the nurses' station decreases more in the daytime than in the nighttime, and so on. Therefore, the range of the correction of the patient load information can be flexibly adjusted according to which item of the load master data the patient coincides with.

[0192] Alternatively, the notification setting section 210 can also, in the case of updating the ward load information, directly correct the ward load information calculated from the patient load information without updating the value of the patient load information. For example, the notification setting section 210 can also perform processing of taking the value of the ward load information calculated from the patient load information as a reference value, and multiplying the reference value by a correction coefficient corresponding to the period. In this case, because it is not necessary to update the individual patient load information, the processing load can be reduced.

[0193] Further, the length of the period of giving, and the sub-period are not limited to the above examples. For example, the period of giving can be one week, and the sub-period can be one day. In this case, for example, the patient load information can be adjusted according to the day of the week. For example, in a case where a particular designated day of the week in the ward is a day on which care (rehabilitation training, etc.) is performed that is not performed on other days of the week, it is also possible to consider the possibility that the generation probability of the notification process, or the load that can be generated in the case where the notification process is performed, is different between the particular designated day of the week and the other days of the week. In this regard, by adjusting the ward load information according to the day of the week, it is possible to reflect the variation due to the day of the week as described above into the ward load information.

[0194] Further, it is also possible that the period of giving is a relatively long period such as one year, and the sub-period is a month, or a season such as spring, summer, autumn, or winter. For example, in a case where the season of seasonal influenza is prevailing, the burden on the care worker can increase compared to other seasons. For example, in a case where influenza is occurring in the ward, in addition to the usual care, infection prevention is also required. In this case, for example, by relatively increasing the value of the ward load information in winter compared to other seasons, it is possible to cope with the variation in the load corresponding to such a season. Further, as described above, the update of the ward load information can be performed by updating the patient load information, or can be performed by directly correcting the ward load information.

[0195] 4.2 Allowable load information Further, in a case where the care worker includes a plurality of care workers, and the plurality of care workers work in shifts, the notification setting section 210 can also update the allowable load information at the timing of the shift of the plurality of care workers. As described above using the Figure 16 Figure 5 As described above, the allowable load information is determined, for example, according to the number of care workers. Therefore, by updating the allowable load information at the shift timing at which the number of care workers can vary (the switching timing of the shift), it is possible to obtain the allowable load information with high accuracy.

[0196] For example, in a case where the care worker adopts a three-shift system in which 24 hours are divided into three shifts, and the work is performed while shifting, the process shown in step S102 of the flowchart of FIG. 10 is performed at the shift timing of the day shift and the midnight shift, the shift timing of the midnight shift and the night shift, and the shift timing of the night shift and the day shift, respectively. Further, other ways such as a two-shift system can be adopted as the work system. Figure 16

[0197] For example, in a case where the allowable load information of the day shift is obtained, the notification setting section 210 can also perform the process including Figure 7 ​​The regression analysis process shown in FIG. Similarly, the allowable load information for the midnight shift is calculated based on historical data from past midnight shifts, and the allowable load information for the night shift is calculated based on historical data from past night shifts. This allows historical data to be divided for each work period, enabling highly accurate calculation of allowable load information. However, notification setting unit 210 may also share historical data regardless of work period.

[0198] In the above example, for example, the process of determining the permissible load information can be performed a predetermined number of times per day (e.g., three times). In this case, the data used as historical data is data for the past month, starting with the processing timing. In other words, the notification setting unit 210 can also perform the process of determining the permissible load information daily while shifting the range of historical data by day. This minimizes variations in the range of historical data and processing timing, enabling highly accurate determination of permissible load information.

[0199] However, the scope of historical data used to determine the permissible load information is not limited to the period starting from the processing timing. For example, the notification setting unit 210 may also determine the permissible load information based on historical data from the same season a year ago. For example, during a period of new hiring or job transfers for nursing staff, the permissible load may decrease due to the increase in the number of nursing staff unfamiliar with the work. In this case, using historical data from the same season allows for appropriate determination of the permissible load information.

[0200] 4.3 Response to Patients Outside the Hospital The above example describes how patient load information is calculated for patients within a hospital (hereinafter also referred to as inpatients), and how ward load information is calculated based on patient load information calculated for each ward. However, the method disclosed herein is not limited to this method and may also utilize information related to patients outside of a hospital.

[0201] The patient in this context is, for example, a patient whose electronic medical records have been acquired by the information processing device 200. Specifically, this patient may have experience with medical treatment or hospitalization at a hospital that has implemented the service of this embodiment. Alternatively, the patient may be an outpatient currently receiving treatment at a location other than a hospital, such as their own home or a nursing home. In this case, the information processing device 200 can determine the risk of falling and medical information (such as the presence of limb disability) by referencing the outpatient patient's electronic medical records.

[0202] The notification setting section 210 can also calculate the patient load information of the out-of-hospital patient on the basis of the electronic medical record of the out-of-hospital patient and the load master data. The patient load information of the out-of-hospital patient is information indicating the degree of load required for coping with the out-of-hospital patient, for example, in the case where the out-of-hospital patient is sent to the ward. The sending here is in the narrow sense of emergency sending, but can also include the case where the patient independently visits the clinic.

[0203] The process of calculating the patient load information is the same as in the case of the bed 100 in the ward. ​ However, in the present modification, the processing target of the step S301 is not limited to the bed 100 in the ward, but is extended to the out-of-hospital patient.

[0204] The notification setting section 210 performs processing of adding the patient load information of the out-of-hospital patient to the ward load information of the ward corresponding to the emergency and / or the ward load information of the ward corresponding to the treatment department having a history of past visits by the patient. Thereby, it is possible to calculate the ward load information including the load when the out-of-hospital patient is sent to the target ward. As a result, it is possible to perform appropriate notification processing taking into account the case where the patient is sent outside the hospital.

[0205] Further, the notification setting section 210 can calculate the patient load information or the ward load information by a method different from that for the in-patient, in the case of the out-of-hospital patient. For example, the notification setting section 210 can perform correction processing of changing the value of the patient load information, in the case of the out-of-hospital patient, compared to the in-patient.

[0206] For example, in the case where the out-of-hospital patient wants to get up from the bed 100 and falls or falls down, the family or the like of the out-of-hospital patient first confirms the state, and if there is no particularly great injury, it is considered that the situation is observed without sending to the hospital. The same is true in the case where a symptom such as breathing disorder occurs, and if it is a content solved by coping by the family or the like of the out-of-hospital patient, nursing at the hospital is not required. That is, the case where the out-of-hospital patient is sent to the hospital is a state of high severity, and it is assumed that the load required for coping is high. If this is taken into account, it is desirable that the patient load information of the out-of-hospital patient is set higher than the patient load information of the in-patient.

[0207] On the other hand, as described above, if the out-of-hospital patient can be coped with by family members or the like, it is not necessary to cope with by the nursing staff (nurses or the like) working at the hospital. In contrast to this, the abnormality generated by the in-hospital patient needs to be coped with by the nursing staff working at the hospital. If this is taken into consideration, the out-of-hospital patient has a low probability of requiring the nursing by the nurses or the like compared to the in-hospital patient, and therefore, it is desirable that the patient load information of the out-of-hospital patient is set lower than the patient load information of the in-hospital patient. Further, in the case of emergency transport, the transport address is not fixed, and the transport address is dynamically determined from a plurality of hospitals capable of first-aid coping according to the idle condition. Therefore, even a patient who has a history of hospitalization or medical treatment at a certain hospital is not necessarily transported to that hospital, and can be transported to a different hospital. From this point of view, the out-of-hospital patient has a low probability of requiring nursing in the ward compared to the in-hospital patient, and therefore, it is desirable that the patient load information of the out-of-hospital patient is set lower than the patient load information of the in-hospital patient.

[0208] The notification setting section 210 can also set the correction coefficient β1 larger than 1 and the correction coefficient β2 smaller than 1. The notification setting section 210 can also, after calculating the patient load information using the same load main data as the in-hospital patient, perform correction based on the correction coefficients β1 and β2, thereby calculating the patient load information of the out-of-hospital patient. As described above, the correction coefficient β1 is a coefficient that takes into consideration that the severity of the illness can be high in the case of transporting the out-of-hospital patient to the hospital. As described above, the correction coefficient β2 is a coefficient that takes into consideration that the out-of-hospital patient can not be transported to the ward as the target even if the abnormality is generated. The specific values of β1 and β2 are arbitrary, and can be determined flexibly taking into consideration the degree of influence of each factor. For example, the notification setting section 210 can also determine the correction coefficient β1 in accordance with the past medical history or the medication history or the like of the out-of-hospital patient. In addition, the notification setting section 210 can also acquire the reception history of the first-aid patient for a plurality of first-aid wards included in the target region, and set the correction coefficient β2 based on the reception history.

[0209] In addition, as described above, the hospital to which the out-of-hospital patient is transported is not fixed. Therefore, the notification setting section 210 can also perform the process of adding the patient load information of the out-of-hospital patient to the ward load information for a plurality of hospitals to which the out-of-hospital patient can be transported, respectively. At this time, the notification setting section 210 can also make the correction coefficient β2 different according to the hospital. For example, the notification setting section 210 can also calculate the proportion of the number of received patients to the number of all first-aid patients for each hospital based on the past history, and use the proportion as the correction coefficient β2 of the target hospital.

[0210] Further, the above describes an example in which the correction processing is performed after the patient load information is calculated for both inpatients and outpatients, but is not limited thereto. For example, the notification setting section 210 can calculate the patient load information for outpatients using out-patient load master data that is different from the in-patient load master data described above. In the out-patient load master data, for example, the addition condition includes the hospital (ward), and a load value that differs for each hospital can be added.

[0211] Further, the above describes an example in which the correction processing is performed after the patient load information is calculated for both inpatients and outpatients, but is not limited thereto. For example, the notification setting section 210 can calculate the patient load information for outpatients using out-patient load master data that is different from the in-patient load master data described above. In the out-patient load master data, for example, the addition condition includes the hospital (ward), and a load value that differs for each hospital can be added.

[0212] Further, the above describes an example in which the correction processing is performed after the patient load information is calculated for both inpatients and outpatients, but is not limited thereto. For example, the notification setting section 210 can calculate the patient load information for outpatients using out-patient load master data that is different from the in-patient load master data described above. In the out-patient load master data, for example, the addition condition includes the hospital (ward), and a load value that differs for each hospital can be added.

[0213] 5. Collection of data using the bed Further, the above describes an example in which the bed 100 and the terminal device 300 are separate, but the method of the present disclosure is not limited thereto. For example, the bed 100 can be a care bed as described above that can adjust the angle or height of the bottom surface, and can include a control device (control box) that is provided with a processor or memory that controls them. Also, the control device can also serve as the terminal device 300 of the present embodiment.

[0214] For example, a table that associates the ID of the bed 100 with the patient is stored in the information processing device 200, and thereby the patient who uses the bed 100 is specified in particular. The bed 100 (terminal device 300) specifies the location of the bed 100 by communicating with a communication device of the specified place. The communication device can be, for example, a router, or a wall device (for example, a smart plug connected to a commercial power source) that is disposed on the wall of a room or the like.

[0215] Further, communication is performed by the bed 100 (terminal device 300) and a device having a communication function (detection device 400 or the like), and data of each device is registered in a state in which a patient is particularly designated. Such a bed is described, for example, in "Monitoring of patient supports" of U.S. Patent Application No. 17 / 360382 filed on June 28, 2021, or "Hospital headwall communication system" of U.S. Patent Application No. 17 / 883071 filed on August 8, 2022. These patent applications are incorporated by reference in their entirety in the present application specification.

[0216] According to this, it is possible to collect various information in the vicinity of the bed 100, determine whether or not a notification condition is satisfied based on the collected information, and prompt a determination result or the like.

[0217] Further, the present embodiment has been described in detail as described above, but a person skilled in the art can easily understand that many modifications can be made without departing substantially from the new matters and effects of the present embodiment. Therefore, such modified examples are all included in the scope of the present disclosure. For example, in the specification or drawings, a term described at least once together with a more general or synonymous different term can be replaced with the different term in any place of the specification or drawings. In addition, all combinations of the present embodiment and the modified examples are also included in the scope of the present disclosure. In addition, the structure and the action and the like of the information processing system, the bed, the detection device, the sensing equipment, the information processing device, the terminal device, and the like are not limited to those described in the present embodiment, and various modifications can be made. Explanation of Reference Numerals

[0218] 10 … information processing system; 100, 100-1, 100-2 … bed; 140, 140A-140D … load sensor; 160 … movable portion; 160a … leg portion; 160b … bottom portion; 180 … bed mattress; 200 … information processing device; 210 … notification setting portion; 220 … display processing portion; 230 … notification determination portion; 240 … notification portion; 250 … storage portion; 260 … display portion; 300, 300-1, 300-2 … terminal device; 310 … display portion; 320 … notification portion; 400 … detection device; 500 … sensing equipment; OB1-OB4 … object.

Claims

1. An information processing system, wherein, includes: a notification setting section that sets an execution condition of a notification process that notifies a nursing staff of a need for a patient's confirmation; a notification section that executes the notification process when it is determined that the execution condition is satisfied; and a display processing section that performs a process of displaying a setting screen used for setting of the notification process on a display section, in the case of the notification setting section, obtains ward load information that indicates a degree of load in a ward unit that the nursing staff needs to cope with in a case where the notification process related to the patient is performed, obtains allowable load information that indicates a degree of allowable load based on target information that indicates a time target when coping with the notification process and the number of the nursing staffs that cope with the notification process, the display processing section performs a display process of the setting screen including information that indicates a relationship between the ward load information and the allowable load information.

2. The information processing system according to claim 1, wherein the patient includes a plurality of patients hospitalized in the ward, in the case of the notification setting section, patient load information that indicates a degree of load in a patient unit that the nursing staff needs to cope with in a case where the notification process is performed is obtained for the plurality of patients respectively, the ward load information that indicates a degree of load of the ward is obtained based on the patient load information corresponding to the plurality of patients.

3. The information processing system according to claim 2, wherein in the case of the notification setting section, the patient load information is obtained based on at least one of a fall risk of the patient, a condition of the patient, and information of a room of the patient.

4. The information processing system according to claim 3, wherein in the case of the notification setting section, the patient load information is obtained based on an electronic medical record of the patient, the electronic medical record is updated as a trigger to update the patient load information, the ward load information is updated based on the updated patient load information.

5. The information processing system according to any one of claims 1 to 4, wherein in the case of the notification setting section, the ward load information is updated at a timing at which a change from any one of a plurality of sub-periods to another is made in a case where the given length is divided into the plurality of sub-periods.

6. The information processing system according to any one of claims 1 to 4, wherein in the case of the notification setting section, whether or not to permit setting of the execution condition of the notification process related to the patient for which the notification process is not set is determined based on a comparison process of the ward load information and the allowable load information, in the case of the display processing section, different setting screens are displayed in a case where it is determined that the setting of the execution condition is permitted and in a case where it is determined that the setting of the execution condition is not permitted.

7. The information processing system according to any one of claims 1 to 4, wherein in a case where the nursing staff includes a plurality of nursing staffs and the plurality of nursing staffs work on shifts, The notification setting section updates the allowable load information at a timing at which shifts of the plurality of nursing staff are made.

8. The information processing system according to any one of claims 1 to 4, wherein As for the notification setting section, The allowable load information is determined based on a history of the ward load information and a history of time information indicating a time required for the nursing staff to cope with the notification processing.

9. The information processing system according to any one of claims 1 to 4, wherein As for the notification setting section, The execution condition recommended to the patient is derived based on at least one of a state of the patient, a range of movement allowed for the patient, a movement device of the patient, and a movable range of a bed recommended to the patient.

10. The information processing system according to claim 9, wherein The display processing section displays the setting screen including the execution condition recommended to the patient.

11. The information processing system according to claim 9, wherein As for the display processing section, In a case where the execution condition recommended to the patient and the execution condition set for the patient are different, the setting screen including an object indicating a warning is displayed.

12. The information processing system according to any one of claims 2 to 4, wherein As for the notification section, The notification manner of the notification processing is determined based on the patient load information.

13. An information processing method, wherein processing of displaying a setting screen used for setting of notification processing at a display section is performed; an execution condition of the notification processing in which a nursing staff is notified of a need for a patient's confirmation is set; in a case where it is determined that the execution condition is satisfied, the notification processing is executed, in the setting of the execution condition, ward load information indicating a degree of load in a ward unit required for the nursing staff to cope in a case where the notification processing related to the patient is performed is derived, allowable load information indicating a degree of allowable load is derived based on target information indicating a time target when coping with the notification processing and a number of the nursing staffs coping with the notification processing, in the processing of displaying the setting screen, display processing of the setting screen including information indicating a relationship between the ward load information and the allowable load information is performed.

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