JP2023013602A - Data conversion method, care information conversion apparatus, and program for causing computer to execute the data conversion method - Google Patents

Abstract

To output data so as to reduce the load to input the data to an external system.SOLUTION: Processing to be executed by a CPU 1 includes: a step (S910) of accessing a history of image data; a step (S920) of accessing a history of trajectory data in a living room; a step (S930) of accessing a history of sleep data acquired from a Doppler sensor; a step (S940) of aggregating the time for which a resident stays in the living room, for each of residents; a step (S950) of determining a shut-in state of the resident using a result of the aggregation; a step (S960) of converting a format of data indicating the shut-in state into a data format of an external system; and a step (S970) of outputting the converted data to the external system.SELECTED DRAWING: Figure 9

Description

TECHNICAL FIELD The present disclosure relates to information provision, and more particularly to technology for converting information acquired in a nursing home into a format compatible with an external system.

With the increase in the number of users of nursing care services, the burden on nursing care staff to record the conditions of nursing care facility residents (care recipients) has increased, and systems have been introduced to reduce this burden. .

For example, Japanese Unexamined Patent Application Publication No. 2020-135734 (Patent Document 1) discloses a ``nursing care recording program capable of centrally managing information on nursing care services for multiple care recipients on a single screen'' ( [Summary]).

By the way, in order to realize "scientific nursing care" that is proven to be effective in supporting independence and preventing aggravation, evidence is accumulated and the basis for nursing care services provided to care recipients is presented by analyzing the evidence. In addition, a system for collecting evidence (for example, LIFE (Long term care Information For Evidence)) is in operation.

JP 2020-135734 A

However, since the types and amounts of data stored in the systems used in nursing care facilities are diverse, the burden of inputting data into external systems also increases. Therefore, there is a need for a technology that reduces the burden of inputting data stored in a system to an external system.

The present disclosure has been made in view of the background as described above, and according to an embodiment, a technology is disclosed that reduces the burden of inputting care record data to an external system.

(1) According to one embodiment, a computer-implemented data transformation method is provided for outputting data. This data conversion method includes the steps of accessing one or more data indicating the state of the resident, converting the format of the one or more data into a data format required by a non-computer system, and converting and outputting the data in the format.

(2) In one aspect, the one or more data indicating the state of the resident includes data acquired from a sensor provided in the resident's room. The data required by the system includes data that qualitatively indicate the state of the resident. The transforming step includes transforming the obtained data into qualitatively indicative data.

(3) In the data conversion method according to one aspect, the data acquired from the sensor includes image data, locus data of the resident in the living room, and sleep data of the resident.

(4) In a certain aspect, the one or more data indicating the state of the resident includes character information determined to correspond from character information prepared in advance as information indicating the state of the resident. The data requested by the system include data that qualitatively indicate the state of the resident. The transforming step includes transforming the textual information into data qualitatively indicative.

(5) In one aspect, the one or more data indicative of the resident's condition includes a care record that describes the resident's condition. The data requested by the system include data that qualitatively indicate the state of the resident. The converting step includes extracting words from the care record and generating data indicating whether the extracted words correspond to predefined keywords in the system.

(6) A data conversion method according to a certain aspect includes a step of outputting a message prompting a resident to input a nursing care record to a mobile terminal capable of communicating with a computer; and receiving. The converting step includes converting the format of the item data included in the received care record to a format predefined in the system for the item.

(7) In a certain aspect, the one or more data indicating the state of the resident are data acquired during a first period from a sensor provided in the resident's room, and second data obtained after the first period. including data acquired over time. The data requested by the system includes data indicating whether or not the resident's condition has changed. The transforming step includes generating data qualitatively indicative of the resident status based on the change from the data acquired during the first period to the data acquired during the second period.

(8) In some aspects, the transforming step includes transforming quantitative data into qualitative data for one or more data.

(9) According to another embodiment, a care information conversion device is provided. The nursing care information conversion device has an access means for accessing a storage device storing one or more data indicating the state of the resident, and one or more data formats that are required by a system other than the care information conversion device. and output means for outputting data in the format after conversion.

(10) In one aspect, the one or more data indicating the state of the resident includes data acquired from a sensor provided in the resident's room. The data required by the system includes data that qualitatively indicate the state of the resident. The conversion means converts the acquired data into data that qualitatively indicates.

(11) In the nursing care information conversion device according to a certain aspect, the data acquired from the sensor includes image data, locus data of the resident in the living room, and sleep data of the resident.

(12) In a certain aspect, the one or more data indicating the state of the resident includes character information determined to correspond from character information prepared in advance as information indicating the state of the resident. The data requested by the system include data that qualitatively indicate the state of the resident. The converting means converts the character information into data qualitatively indicating the character information.

(13) In one aspect, the one or more data indicative of the resident's condition includes a care record describing the resident's condition. The data requested by the system include data that qualitatively indicate the state of the resident. The converting means extracts words from the nursing care record and generates data indicating whether the extracted words correspond to keywords predefined in the system.

(14) In one aspect, the nursing care information conversion device further includes receiving means for receiving the nursing care record input in response to the message prompting the resident to input the nursing care record from the portable terminal. The converting means converts the data format of the item included in the received care record into a format predefined in the system for the item.

(15) In a certain aspect, the one or more data indicating the state of the resident are data obtained from a sensor provided in the resident's room during a first period, and second data obtained after the first period. including data acquired over time. The data requested by the system includes data indicating whether or not the resident's condition has changed. The conversion means generates data qualitatively indicating the state of the resident based on the change from the data acquired during the first period to the data acquired during the second period.

(16) In one aspect, the conversion means converts quantitative data into qualitative data for one or more data.

(17) According to still another embodiment, there is provided a program that causes a computer to execute any of the above methods.

According to an embodiment, the data format of the care record is converted into a format compatible with the external system, so the load of inputting data into the external system can be reduced.

The above and other objects, features, aspects and advantages of the present invention will become apparent from the following detailed description of the invention taken in conjunction with the accompanying drawings.

It is a figure showing the flow of care work before and behind introduction of LIFE. 1 illustrates an example configuration of a system 100 according to an embodiment; FIG. 1 is a block diagram showing an overview of the configuration of system 100. FIG. 1 is a schematic diagram of a system 100 using a sensor box 119; FIG. 4 is a block diagram showing the hardware configuration of computer system 400. FIG. 2 is a block diagram for explaining the configuration of system 60. FIG. FIG. 2 is a diagram representing the data items acquired by the system used at the facility and the data items entered into the scientific care database. FIG. 10 is a diagram showing an example in which data acquired by sensor box 119 is converted into data compatible with external systems 630 and 640. FIG. 6 is a flowchart showing an example of processing executed by CPU 1 of care record linking server 600. FIG. 4 is a diagram exemplifying a manner in which data stored in a hard disk 5 is converted into a format compatible with the format of an external system; FIG. 6 is a flow chart showing a part of the processing executed by the care record cooperation server 600. FIG. FIG. 4 is a diagram showing how information recorded by care staff is converted into a format compatible with external systems 630, 640. FIG. 6 is a flowchart showing a part of the processing executed by CPU 1 of care record linking server 600. FIG. FIG. 4 is a diagram showing how information recorded by care staff is converted into a format compatible with external systems 630, 640. FIG. 6 is a flowchart showing a part of the processing executed by CPU 1 of care record linking server 600. FIG. FIG. 4 is a diagram representing an example of text mining according to an embodiment; FIG. 3 is a diagram showing transition of screens displayed on display 226 of mobile terminal 220 used by a care staff. 3 is a flowchart showing a part of processing executed by control device 221 of mobile terminal 220. FIG.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following description, the same parts are given the same reference numerals. Their names and functions are also the same. Therefore, detailed description thereof will not be repeated.

First, with reference to FIG. 1, information collection and utilization using the scientific care information system LIFE will be described. FIG. 1 is a diagram showing the flow of nursing care work before and after introduction of LIFE. FIG. 1(A) represents the flow of nursing care work before the introduction of LIFE. FIG. 1(B) shows the flow of nursing care work after the introduction of LIFE.

As shown in FIG. 1A, before LIFE is introduced, a care plan/rehabilitation (hereinafter referred to as "rehabilitation") execution plan is created in step S110. At step S120, care/rehabilitation is performed. In step S130, care records/rehabilitation implementation records are entered into the system. In step S170, processing for claiming care fees is performed.

Referring to FIG. 1B, after LIFE is introduced, a care plan/rehabilitation implementation plan is created in step S110. At step S120, care/rehabilitation is performed. In step S130, care records/rehabilitation implementation records are entered into the system.

Thereafter, information is collected in step S140. At step S150, the collected information is input to the system (LIFE). At step S160, the data is sent.

In step S170, processing for claiming care fees is performed. In step S180, the nursing care record, the rehabilitation implementation record, and the analysis result of the nursing care fee are downloaded. At step S190, the analysis result is fed back to the creation of a care plan/rehabilitation implementation plan (step S110).

<Overview of the system>
A system 100 capable of acquiring information on care or rehabilitation will be described with reference to FIG. FIG. 2 is a diagram illustrating an example configuration of system 100 according to an embodiment. An example of a watching target is a resident in each room provided in the room area of the facility 180 . In the system 100 of FIG. 2, living rooms 110 and 120 are provided in the living room area. A living room 110 is assigned to a resident 111 . A living room 120 is assigned to a resident 121 .

The system 100 includes a gateway server 130, a switching device 135, an access point 140, a management server 200, a sensor box 119, various devices communicating with the sensor box 119, and mobile terminals 161, 162, 163, and 164. include.

The gateway server 130 connects the internal network (intranet) of the facility 180 and the external network 16 of the facility 180 to each other. External network 16 is, for example, the Internet or a public telephone line network. A cloud server 150 , a push server 160 and a wireless base station 195 are also connected to the external network 16 .

The exchange device 135 connects each device of the internal network of the facility 180 to each other. In some aspects, a router or switch may be used as switching device 135 . In the example shown in FIG. 2, the number of switching devices 135 is two, but the number is not limited to this. The internal network of facility 180 may consist of a combination of multiple switching devices 135 .

Access point 140 is used to connect mobile terminals 161 and 162 to the internal network of facility 180 . In one aspect, a Wi-Fi® (Wireless Fidelity) router may be used as the access point 140 .

The management server 200 receives event information from the sensor box 119 in the facility 180 and manages information on residents in each room. The management server 200 also communicates with the mobile terminals 161 and 162, manages the staff holding the mobile terminals, and transmits various notifications to each mobile terminal. Note that the management server 200 may use an external push server 160 when sending notifications to the mobile terminals 161 and 162 . Also, the external cloud server 150 may have some or all of the functions of the management server 200 .

The sensor box 119 cooperates with the cameras and sensors built into the housing and other various sensors in the living rooms 110 and 120 to obtain information on the residents 111 and 121 in the living rooms 110 and 120, respectively. . The information may include an image showing each resident's walking, body temperature, pulse and other vital information, and the like. Further, the sensor box 119 transmits the acquired information on the residents 111 and 121 to the management server 200 via the internal network. Details of the sensor box 119 will be described later.

The mobile terminals 161 and 162 are used by caregivers and other staff engaged in nursing care at the facility 180 . The staff can use the mobile terminals 161 and 162 to input care records and the like. Portable terminals 161 and 162 transmit the care records to management server 200 . Also, when a problem occurs in the residents 111 and 121, the staff uses the portable terminals 161 and 162 to receive notifications from the management server 200. FIG. Mobile terminals 161 and 162 are connected to access point 140 in facility 180 and communicate with management server 200 via an internal network. In our example, caregivers 141, 142, 143, and 144 hold portable terminals 161, 162, 163, and 164, respectively.

Mobile terminals 163 and 164 can communicate with management server 200 from outside facility 180 via gateway server 130 via wireless base station 195 and the like. When the mobile terminals 163, 164 communicate with the management server 200 from outside the facility 180, some of the services provided from the management server 200 to the mobile terminals 163, 164 are restricted in order to protect the residents' information. Sometimes.

Note that the numbers of other devices such as the mobile terminals 161 and 162, the access point 140, and the switching device 135 are not limited to the numbers illustrated in FIG.

Living rooms 110 and 120 each include furniture 112, bed 113, and toilet 114 as equipment. Door sensors 118 for detecting the opening and closing of the doors are installed on the doors of the living rooms 110 and 120, respectively. A toilet sensor 116 for detecting opening and closing of the toilet 114 is installed on the door of the toilet 114 . An odor sensor 117 that acquires excretion information of the resident 111 is installed on the bed 113 . The resident 111 wears a vital sensor 290 that detects the vital information of the resident 111 . An example of detected vital information is a resident's body temperature. Another example is the resident's breathing. Yet another example is the resident's heart rate. Yet another example is more than one of these types of information. In living room 110 , resident 111 can operate care call slave device 115 . When the resident 111 operates the care call slave device 115 , the care call slave device 115 transmits a call signal, and the sensor box 119 receives the call signal. Sensor box 119 transmits the received call signal to management server 200 . The management server 200 transmits to the mobile terminal 220 a signal notifying that the resident 111 is calling.

The sensor box 119 incorporates sensors for detecting behavior of objects in the living rooms 110 and 120 . One example of a sensor is a Doppler sensor for detecting motion of an object. Another example is a camera. Still other examples are the care call handset 115, the door sensor 118, the toilet sensor 116, the smell sensor 117, or the vital sensor 290. Sensor box 119 may include at least one of these sensors as a sensor.

The configuration of the system 100 will be described with reference to FIG. FIG. 3 is a block diagram showing an overview of the configuration of system 100. As shown in FIG.

[Sensor box 119]
The sensor box 119 includes a control device 101, a ROM (Read Only Memory) 102, a RAM (Random Access Memory) 103, a communication interface 104, a camera 105, a Doppler sensor 106, a wireless communication device 107, and a storage device. 108.

The control device 101 controls the sensor box 119 . The control device 101 is composed of, for example, at least one integrated circuit. Integrated circuits include, for example, at least one CPU (Central Processing Unit), MPU (Micro Processing Unit) and other processors, at least one ASIC (Application Specific Integrated Circuit), at least one FPGA (Field Programmable Gate Array), or these It is composed of a combination of

An antenna (not shown) and the like are connected to the communication interface 104 . The sensor box 119 exchanges data with an external communication device via the antenna. External communication devices include, for example, the management server 200, the mobile terminals 161, 162, 163, 164 and other terminals, the access point 140, the cloud server 150, and other communication terminals.

Camera 105, in one implementation, is a near-infrared camera. A near-infrared camera includes an IR (Infrared) projector that projects near-infrared light. By using a near-infrared camera, an image representing the inside of living room 110, 120 can be captured even at night. In other implementations, camera 105 is a surveillance camera that receives only visible light. In still other implementations, camera 105 may be a 3D sensor or a thermographic camera. Sensor box 119 and camera 105 may be configured as an integral unit or as a combination of separate devices.

Doppler sensor 106 functions as a body motion sensor. The Doppler sensor 106 transmits and receives microwaves, ultrasonic waves, and other radio waves to detect behaviors (movements) of objects (eg, the resident 111, care staff, etc.) in the living rooms 110 and 120 . Thereby, the biological information of the residents 111 and 121 in the living rooms 110 and 120 can be detected.

More specifically, the Doppler sensor 106 is connected to the control device 101 and measures the movement of the body surface of the chest associated with breathing of the resident 111 under the control of the control device 101 . The Doppler sensor 106 transmits microwaves and ultrasonic waves (hereinafter also referred to as "transmitted waves"), receives microwaves and ultrasonic waves reflected by objects (that is, "reflected waves"), and and output a Doppler signal of the Doppler frequency component. When an object is in motion, the frequency of the reflected wave shifts in proportion to the speed at which the object is moving due to the so-called Doppler effect. Therefore, a difference (Doppler frequency component) occurs between the frequency of the transmitted wave and the frequency of the reflected wave. The Doppler sensor 106 generates a signal of this Doppler frequency component as a Doppler signal at a predetermined sampling rate, and outputs the Doppler signal to the control device 101 . Upon receiving Doppler signals from the Doppler sensor 106 , the control device 101 stores the received Doppler signals in the storage device 108 in chronological order. Note that when microwaves are used as transmission waves, the microwaves pass through clothing and are reflected on the body surface of the resident 111 . Therefore, even if the resident 111 is wearing clothes, the movement of the body surface can be detected.

In one example, each Doppler sensor 106 radiates microwaves in the 24 GHz band toward the beds 113 of the living rooms 110 and 120, and receives reflected waves reflected by the residents 111 and 121 and the like. The reflected waves are Doppler-shifted by the motions of the residents 111 and 121 . The Doppler sensor 106 can detect the respiratory state and heart rate of the residents 111 and 121 from the reflected waves.

Wireless communication device 107 receives signals from care call child device 115 , door sensor 118 , toilet sensor 116 , odor sensor 117 , and vital sensor 290 and transmits the signals to control device 101 . Care call slave device 115 includes care call button 241 . When the care call button 241 is operated, the care call slave device 115 transmits a signal (for example, a call signal) indicating that the operation has been performed. The transmitted signal is received by wireless communication device 107 . When door sensor 118 , toilet sensor 116 , odor sensor 117 , and vital sensor 290 transmit their respective detection results, the transmitted signals are received by wireless communication device 107 .

The storage device 108 is, for example, a fixed storage device such as a flash memory or hard disk, or a recording medium such as an external storage device. The storage device 108 stores programs executed by the control device 101 and various data used for executing the programs. Various data may include the behavior information of residents 111 and 121 . Details of the action information will be described later.

At least one of the programs and data described above can be stored in a storage device other than the storage device 108 (for example, a storage area of the control device 101 (eg, cache memory), ROM 102, etc.) as long as the storage device can be accessed by the control device 101. It may be stored in the RAM 103, an external device (for example, the management server 200 or the mobile terminals 161, 162, 163, 164, etc.).

[Action information]
Next, behavior information in this embodiment will be described. Action information is, for example, information indicating that residents 111 and 121 have performed a predetermined action. In one example, the predetermined actions are "get up" indicating that the residents 111 and 121 have woken up, "leave the bed" indicating that the residents 111 and 121 have left the bed (bedding) 113, and the residents 111 and 121 It includes four actions of "falling" indicating falling from the bed (bedding) 113 and "falling" indicating that the residents 111 and 121 have fallen.

Further, behavioral information may include actions taken by the resident to refuse to receive care. For example, the behavioral information may include a motion of shaking off the caregiver with a hand, a motion of kicking the caregiver with a leg, a motion of clinging to the bed 113 and refusing to change clothes, and the like.

In one embodiment, the control device 101 generates each action information of the residents 111 and 121 associated with each living room 110 and 120 based on the images captured by the cameras 105 installed in each living room 110 and 120. do. For example, the control device 101 detects the heads of the residents 111 and 121 from the above images, and determines the " In addition to the usual information of "getting up", "getting out of bed", "falling" and "falling", the information of "refusal of nursing care" is detected. A specific example of generating behavior information will be described in more detail below.

First, the storage device 108 stores the location area of each bed 113 in the rooms 110 and 120, the first threshold Th1, the second threshold Th2, and the third threshold Th3. The first threshold Th1 distinguishes the size of the resident's head between the lying posture and the sitting posture within the location area of the bed 113 . The second threshold Th2 identifies whether or not the resident is in a standing posture in the living rooms 110 and 120 excluding the area where the bed 113 is located, based on the size of the resident's head. The third threshold Th3 identifies whether or not the resident is lying down based on the head size of the resident in the living rooms 110 and 120 excluding the area where the bed 113 is located.

The control device 101 extracts a moving body region as a human region of the residents 111 and 121 from the target image by, for example, a background subtraction method or a frame subtraction method. The control device 101 further derives from the extracted moving body region, for example, a circular or elliptical Hough transform, pattern matching using a head model prepared in advance, and a neural network trained for head detection. The head regions of the residents 111 and 121 are extracted using the threshold values thus obtained. The control device 101 detects "getting up", "getting out of bed", "falling", and "falling" from the extracted position and size of the head.

The control device 101 determines that the position of the head extracted as described above is within the location area of the bed 113 and the size of the head extracted as described above is determined by using the first threshold value Th1. It may be determined that the action "wake up" has occurred when it detects a change from posture magnitude to sitting posture magnitude.

When the position of the head extracted as described above moves from within the location area of the bed 113 to outside the location area of the bed 113, the control device 101 controls the size of the head extracted as described above. By applying the second threshold Th2 to the head position, it may be determined that the action "getting out of bed" has occurred when it is detected that the size of the head has changed from a certain size to the size of the standing posture.

When the position of the head extracted as described above moves from within the location area of the bed 113 to outside the location area of the bed 113, the control device 101 controls the size of the head extracted as described above. By applying the third threshold value Th3 to , it may be determined that the action "fall" has occurred when it is detected that the head has changed from a certain size to the size of the lying posture.

The control device 101 determines that the position of the head extracted as described above is located in the living room 110 or 120 excluding the location area of the bed 113, and the size of the extracted head uses the third threshold value Th3. It may be determined that the action "fall" has occurred if it detects a change from a size to a lying size by .

Furthermore, the control device 101 detects the caregiver in addition to the resident from the image data, and estimates the distance between the resident and the caregiver. When the control device estimates that the interval is shorter than a predetermined normal interval, it can determine that the nursing care refusal action is taking place. Furthermore, when the control device 101 determines that the resident's motion is different from normal, the control device 101 can determine that the resident is showing a nursing care refusal behavior to the caregiver.

As described above, in one specific example, the control device 101 of the sensor box 119 generates each action information of the residents 111 and 121 . In system 100 according to another aspect, even if elements other than control device 101 (for example, cloud server 150) generate behavior information of residents 111 and 121 using images in living rooms 110 and 120, good.

[Portable terminal 220]
Portable terminal 220 includes control device 221 , ROM 222 , RAM 223 , communication interface 224 , display 226 , storage device 228 and input device 229 . In one aspect, the mobile terminals 161, 162, 163, and 164 are implemented as, for example, smart phones, tablet terminals, wristwatch-type terminals, and other wearable devices.

The control device 221 controls the mobile terminals 161 , 162 , 163 and 164 . The control device 221 is composed of, for example, at least one integrated circuit. An integrated circuit is composed of, for example, at least one CPU, at least one ASIC, at least one FPGA, or a combination thereof.

An antenna (not shown) and the like are connected to the communication interface 224 . Mobile terminals 161 , 162 , 163 and 164 exchange data with external communication devices via the antenna and access point 140 . External communication equipment includes, for example, the sensor box 119, management server 200, and the like.

The display 226 is implemented by, for example, an organic EL (Electro Luminescence) display, a liquid crystal display, or the like. The input device 229 is implemented by a touch sensor provided on the display 226, for example. The touch sensor receives touch operations on the mobile terminals 161 , 162 , 163 and 164 and outputs signals corresponding to the touch operations to the control device 221 .

The storage device 228 is implemented by, for example, a flash memory, a hard disk or other fixed storage device, or a removable data recording medium.

In a certain aspect, the control device 101 identifies, for example, going to bed, lying down, getting up, getting out of bed, falling, falling, and abnormal micromotion as follows. Note that the area where the bed 113 is arranged (location area of the bed 113) in the target image is pre-stored in the ROM 102 as one of various data. Further, each threshold value and continuation determination time are appropriately set from a plurality of samples and stored in advance in the ROM 102 as one of various data.

[Entering bed]
In determining whether to enter the bed, the control device 101 determines that the previous state variable (variable for storing the action determination result) was "getting out of bed", and this time, the person extracted from the target image acquired from the camera 105 by, for example, the background subtraction method. When the area completely overlaps with the location area of the bed 113 (when the person area is completely within the location area of the bed 113), it is tentatively determined to be in bed, and the duration of the complete overlapping state is determination of in-bed continuation. If it continues beyond the time, it is finally determined that there is bed entry, and bed entry is detected. The control device 101 updates the state variable as "entering bed". The in-bed continuation determination time is used as a threshold value for finally determining in-bed as in-bed tentatively determined based on the complete overlap of the extracted person area and the location area of the bed 113. .

[Lie down]
Lying means a state in which the resident (person to be monitored) is lying on the bed 113 . For example, if the area occupied by the resident in the image is included in the area of the bed 113 and the amount of movement of the resident is equal to or less than a predetermined amount, the control device 101 detects the behavior information of the resident. Detects "bed rest" as

[Wake up]
In determining whether to get up, the control device 101 determines that the previous state variable was "bed", and this time, the area in which the person area extracted from the target image acquired from the camera 105 protrudes from the location area of the bed 113 is determined to be getting up. If it is equal to or greater than the threshold and less than the threshold for determination of getting out of bed, it is tentatively determined to be awake. The control device 101 finally determines that there is a wake-up when the duration of the region in the state where the region is equal to or greater than the wake-up determination threshold and less than the bed leaving determination threshold exceeds the wake-up continuation determination time, Detect waking. The controller 101 updates the state variable with "wake up". The wake-up determination threshold is used to determine whether or not it is a wake-up based on the size of the area. The bed-leaving determination threshold value is used to determine whether or not the bed-leaving is based on the size of the area. The threshold for determination of getting out of bed is set to a value larger than the threshold for determination of getting up. The wake-up continuation determination time is used as a threshold for finally determining that the wake-up tentatively determined by comparing the area and the wake-up determination threshold value is the wake-up.

[Getting out of bed]
In the determination of getting out of bed, the control device 101 determines that the previous state variable is either “entering bed” or “getting up”, and that the person region extracted from the target image acquired from the camera 105 this time is on the bed 113. When the area protruding from the location area is equal to or larger than the threshold value for leaving the bed, it is tentatively determined to be leaving the bed. The control device 101 finally determines that there is leaving the bed and detects leaving the bed when the duration of the region in which the region is equal to or greater than the leaving-bed determination threshold exceeds the leaving-bed continuation determination time. The control device 101 updates the state variable with "get out of bed". The out-of-bed continuation determination time is used as a threshold for finally determining out-of-bed to be out-of-bed, temporarily determined by comparing the area and the out-of-bed determination threshold.

[fall]
In the fall determination, the control device 101 determines that the size of the head region of the human region extracted from the target image acquired from the camera 105 this time is equal to or smaller than the lying posture determination threshold value, and the change rate of the size of the head region is equal to or greater than the fall determination speed threshold and the person area is within the fall determination area set around the location area of the bed 113, it is determined that there is a fall, and the fall is detected. The lying posture determination threshold is used to determine whether or not the size of the head region is in the lying posture. Whether the posture is lying down or sitting is determined based on the size of the head region. The fall determination speed threshold is used to determine whether or not there is a fall based on the change speed of the size of the head area.

[fall down]
In the fall determination, the control device 101 determines that the size of the head region of the human region extracted from the target image acquired from the camera 105 is equal to or less than the lying posture determination threshold value, and that the change rate of the size of the head region is greater than or equal to the overturn determination speed threshold, and the person area is in an area excluding the location area of the bed 113 and the fall determination area, it is determined that there is a fall, and the overturn is detected. The fall determination speed threshold is used to determine whether or not a fall has occurred based on the change speed of the size of the head region.

[Abnormity of micromotion]
Micromotion anomaly is detected based on the Doppler signal output from the Doppler sensor 106 . More specifically, the control device 101 performs, for example, a fast Fourier transform (FFT) on the Doppler signals measured within a predetermined time from the time of measurement to the past, and from the spectrum obtained by this FFT, general Find the average value of the amplitude in the frequency band corresponding to the normal breathing frequency. The control device 101 compares the obtained average value with a threshold value for determining whether or not there is an abnormal micromotion, and if the obtained average value is equal to or less than the threshold, the abnormal micromotion and the provisional If the duration of the state in which the average value is equal to or less than the threshold continues beyond a predetermined determination time, it is finally determined that there is an abnormality in fine body movement, and the abnormality in fine body movement is determined to detect. The control device 101 updates the state variable with "abnormal body motion". The determination time is used as a threshold value for finally determining anomaly in subtle motion that has been tentatively determined by comparing the calculated average value with an anomaly in fine motion.

When the control device 101 detects the predetermined behavior from the behavior of the resident in this way, the control device 101 transmits an event notification signal including event information representing the content of a predetermined event related to the resident from the communication interface 104 to the management server. 200. More specifically, the control device 101 stores an event including a sensor ID (Identification) of the sensor box 119, event information representing the content of the event, and a target image used when detecting entering, rising, leaving, falling, and falling. A notification signal is sent to management server-200 via communication interface 104 .

The event information, in one embodiment, includes one or more of getting in bed, lying down, getting up, getting out of bed, falling, falling, dyskinesia, and a care call. Here, the control device 101 stores one or more of the detected bed entry, wake-up, bed exit, fall, fall, and micromotion abnormality as event information in the event notification signal. The images may include still images and/or moving images. In one embodiment, as will be described later, for example, still images are first transmitted from the sensor box 119 to the management server 200, and moving images are delivered in response to requests from users (eg, caregivers, administrators, doctors, and other staff). can be Note that in another aspect, the video may be distributed first. Also, the still image and the moving image are transmitted to the management server 200, and the mobile terminal 220 may display the still image or the moving image in a split screen state on the display 226 based on the signal sent from the management server 200. .

When the care call slave device 115 receives a nurse call, the control device 101 transmits to the management server 200 an event notification signal including that effect as another example of a predetermined event, and uses a speaker (not shown) or the like. , a voice call is made with the mobile terminal 220 . More specifically, when care call button 241 is operated, wireless communication device 107 receives a signal corresponding to the operation. Sensor box 119 generates an event notification signal including a nurse call as the sensor ID and event information, and transmits the event notification signal to management server-200 via communication interface 104 . The control device 101 performs voice communication between the microphone (not shown) and the speaker (not shown) of the care call slave device 115 and the mobile terminal 220 via the wireless communication device 107 by, for example, VoIP (Voice over Internet Protocol). Realize

When the control device 101 receives a video distribution request from an image display device such as the management server 200, the cloud server 150, or the mobile terminal 220 via the communication interface 104, the control device 101 responds to the request by causing the camera 105 to shoot. A moving image (for example, a live moving image) obtained by is stream-reproduced, and the moving image is distributed to the image display device.

[Outline of monitoring]
Watching using the system 100 will be described with reference to FIG. FIG. 4 is a schematic diagram of system 100 using sensor box 119 .

The system 100 is used to watch over residents 111 and 121 and other residents who are persons to be watched over (persons to be monitored). A sensor box 119 is attached to the ceiling of the living room 110 . Sensor boxes 119 are similarly installed in other living rooms.

Range 31 represents the detection range by sensor box 119 . If the sensor box 119 has a Doppler sensor as described above, the Doppler sensor detects human behavior occurring within the area 31 . If sensor box 119 has a camera as a sensor, the camera takes an image within range 31 .

Sensor box 119 is installed, for example, in nursing homes, medical facilities, homes, and the like. In the example of FIG. 4, the sensor box 119 is attached to the ceiling and photographs the resident 111 and the bed 113 from the ceiling. The mounting location of the sensor box 119 is not limited to the ceiling, and may be mounted on the side wall of the living room 110 .

System 100 detects the danger facing resident 111 based on a series of images (ie, video) obtained from camera 105 . By way of example, detectable hazards include resident 111 falling, resident 111 being in a hazardous area (eg, bed rails, etc.), and the like.

When the system 100 detects that the resident 111 is in danger, the system 100 notifies the caregivers 141, 142 and the like of this fact. As an example of the notification method, the system 100 notifies the mobile terminals 161 and 162 of the caregivers 141 and 142 of the danger of the resident 111 . Upon receiving the notification, the mobile terminals 161 and 162 notify the caregivers 141 and 142 of the danger of the resident 111 by message, voice, vibration, or the like. As a result, the caregivers 141 and 142 can immediately grasp that the resident 111 is in danger, and can quickly rush to the resident 111 .

Furthermore, the system 100 can also notify the mobile terminals 163, 164 of the caregivers 143, 144 outside the facility of the danger via the radio base station 195. FIG.

Although FIG. 4 shows an example in which system 100 includes one sensor box 119, system 100 may include multiple sensor boxes 119 in other aspects. Also, FIG. 4 shows an example in which the system 100 includes a plurality of mobile terminals 161 and 162, but in other aspects, the system 100 can be implemented with a single mobile terminal.

[Computer system configuration]
A configuration of a computer system 400, which is one aspect of the information processing apparatus, will be described with reference to FIG. FIG. 5 is a block diagram showing the hardware configuration of computer system 400. As shown in FIG. Computer system 400 functions as gateway server 130 , cloud server 150 , push server 160 , or management server 200 .

The computer system 400 has, as main components, a CPU 1 that executes a program, a mouse 2 and a keyboard 3 that receive instructions input by the user of the computer system 400, data generated by the execution of the program by the CPU 1, or the mouse 2 Alternatively, a RAM 4 for volatilely storing data input via a keyboard 3, a hard disk 5 for nonvolatilely storing data, an optical disk drive 6, a communication interface (I/F) 7, and a monitor 8 are provided. include. Each component is connected to each other by a data bus. The optical disc drive device 6 is loaded with a CD-ROM 9 or other optical discs.

Processing in the computer system 400 is realized by each piece of hardware and software executed by the CPU 1 . Such software may be stored in the hard disk 5 in advance. Also, the software may be stored in a CD-ROM 9 or other recording medium and distributed as a computer program. Alternatively, the software may be provided as a downloadable application program by a so-called information provider connected to the Internet. Such software is temporarily stored in the hard disk 5 after being read from the recording medium by the optical disk drive 6 or other reading device, or downloaded via the communication interface 7 . The software is read from the hard disk 5 by the CPU 1 and stored in the RAM 4 in the form of an executable program. CPU1 executes the program.

Each component making up the computer system 400 shown in FIG. 5 is conventional. Therefore, it can be said that one of the essential parts of the technical idea according to the present disclosure is software stored in RAM 4, hard disk 5, CD-ROM 9 or other recording media, or software that can be downloaded via a network. Recording media may include non-transitory computer-readable data recording media. Since the operation of each piece of hardware in computer system 400 is well known, detailed description will not be repeated.

The recording medium is not limited to CD-ROM, FD (Flexible Disk), hard disk, magnetic tape, cassette tape, optical disk (MO (Magnetic Optical Disc) / MD (Mini Disc) / DVD (Digital Versatile Disc)). , IC (Integrated Circuit) card (including memory card), optical card, mask ROM, EPROM (Electronically Programmable Read-Only Memory), EEPROM (Electronically Erasable Programmable Read-Only Memory), flash ROM and other semiconductor memories It may be a medium that literally carries the program.

The program here includes not only a program that can be directly executed by the CPU, but also a program in source program format, a compressed program, an encrypted program, and the like.

A system 60 according to the present embodiment will be described with reference to FIG. FIG. 6 is a block diagram for explaining the configuration of system 60. As shown in FIG. The system 60 includes a care record linking server 600, a sensor 610, a mobile terminal 220, and external systems 630,640.

A sensor 610 detects the state of each resident. Sensor 610 is, for example, implemented as sensor box 119 .

The portable terminal 220 is used by each staff member, receives input of the status of each resident, and transmits data indicating the status to the nursing care record linkage server 600 .

Nursing care record linkage server 600 is implemented by a computer device having a well-known configuration. In one aspect, nursing care record linkage server 600 is implemented in cloud server 150 or management server 200 . Nursing care record cooperation server 600 includes control unit 611 , storage unit 620 , display unit 621 , and output unit 622 . The control unit 611 includes an access unit 612 , a tally unit 613 , a comparison unit 614 and a data format conversion unit 615 .

Control unit 611 generates data suitable for external system 630 or external system 640 using data received by care record linking server 600 and data stored in management server 200 . In one aspect, control unit 611 is implemented by a CPU or other processor.

More specifically, access unit 612 reads data stored in storage unit 620 . The stored data includes data acquired by sensor box 119 and data input by care staff to mobile terminal 220 .

In a certain aspect, the tallying unit 613 uses the data stored in the storage unit 620 to tally the data acquired for each resident.

In a certain aspect, the comparison unit 614 compares the latest value acquired for the item specified for each resident with the value acquired in the past based on the comparison instruction, and determines the status of the resident. Detect changes. Here, the past is, for example, one month ago, three months ago, or half a year ago, which is arbitrarily specified by the user (administrator, care staff, etc.) of the care record cooperation server 600, or prepared in advance. Can be selected from candidates.

The data format conversion unit 615 converts data acquired by the sensor box 119, character information and other data input to the mobile terminal 220, and other data formats managed by the management server 200 to external systems 630 and 640. Convert to a format compatible with the data format. More specifically, data items stored in management server 200 may include data items used in external systems 630 and 640, but may differ in data format. Therefore, the data format conversion unit 615 presets the data format required by the external systems 630 and 640 as the data format for output. The data format at the time of output is stored in the storage unit 620 or incorporated in the program executed by the control unit 611 .

More specifically, when the management server 200 retains quantitative information on residents, the external systems 630 and 640 may request qualitative information indicating changes in activity status of the residents. . In this case, the data format converter 615 converts quantitative data stored in the management server 200 to generate qualitative data required by the external systems 630 and 640 .

As an example, the management server 200 holds, as quantitative information of residents, activity time, sleep time, stay time, and absence time. On the other hand, the external systems 630, 640 request data as qualitative information about the resident's activity status, such as whether the resident has been out more or less than before. Therefore, the data format conversion unit 615 calculates an increase or decrease in the time corresponding to going out for each resident, compares the amount of increase or decrease with a preset threshold value, and determines that the time corresponding to going out has increased. When it is determined, it generates qualitative data indicating that going out has increased. On the other hand, when the data format conversion unit 615 determines that the time corresponding to going out of a certain resident has decreased, it generates qualitative data indicating that the resident has gone out less.

As another example, the management server 200 holds data obtained by the sensor box 119 on the daily status of each resident. The data may be, for example, the state of the resident asleep, awake, indoor activity, or absent. When the external systems 630, 640 request qualitative data indicating whether or not the resident has a tendency to stay indoors, the data format conversion unit 615 converts the data stored in the management server 200 into the Convert to qualitative data. For example, if a resident's time spent in the room is longer than a predetermined reference time, or if the time spent in the room is longer than before, the data format conversion unit 615 Generate data (eg, 1) indicating that the resident tends to withdraw. On the other hand, if the time spent in the room by another resident is shorter than the reference time, or if the time spent in the room is shorter than before, the data format conversion unit 615 generates data (eg, 0) indicating that the resident of the house does not tend to stay home.

The data format converter 615 can output the generated data. The output data is input to a separate system, such as external systems 630 and 640 , used by an organization different from the facility using management server 200 . External systems 630, 640 may use the input data to extract qualitative information such as trends in similar types of facilities. The qualitative information is, for example, data representing whether or not the condition has improved, whether or not a predetermined operation can be performed, and the like.

The display unit 621 displays a screen according to data output by the control unit 611 . The display unit 621 is realized as a liquid crystal monitor device or other display device.

Output unit 622 outputs the data generated by data format conversion unit 615 to external system 630 or external system 640 . Output unit 622 is implemented by a well-known interface for communicating with other systems.

[Items to be entered into the system and information that can be supplemented by individual systems]
Referring to FIG. 7, data items entered into the scientific care database will be described. FIG. 7 is a diagram representing the data items acquired by the system used at the facility and the data items entered into the scientific care database.

Table 710 is managed in a scientific care database. Table 710 includes sheet name 711 , first item 712 , second item 713 , third item 714 , and total 715 .

The sheet name 711 represents form data having each information. A first item 712 is an item that must be submitted to a LIFE or other system. The second item 713 is an item that can be arbitrarily submitted according to the purpose. For example, if a facility wishes to receive additions for nursing care fees, it is necessary to enter information corresponding to the second item 713 into the LIFE or other system. The third item is other items. Sum 715 represents the sum of items from first item 712 to third item 714 .

In the example shown in FIG. 7, 594 items may be entered into the LIFE or other system. For example, the first item 712 includes 16 items for user information, 64 items for nutrition management header specification information, 27 items for dementia information, and 25 items for basic item information. Further, the first item 712 includes 16 items regarding medical history information, 14 items regarding medication information, and 23 items regarding cohabitant information.

Table 720 is maintained in other systems, such as those managed at the facility. The table 720 includes recorded items 721 , grasped items 722 , and image evaluation items 723 .

A record item 721 is obtained for each resident at the facility. For example, the record item 721 is acquired by the sensor box 119 provided in each resident's living room. The information acquired as the record items 721 includes, for example, sleep time, travel time, wake-up time, time to get out of bed, presence/absence of falls, presence/absence of falls, and the like in the living room.

The comprehended items 722 are items comprehended by the staff at the site of nursing care at the facility. The comprehended item 722 is, for example, activities of daily living, and includes information comprehended by the staff regarding activities of sitting, transferring, moving, eating, changing clothes, washing the face, bathing, and grooming. The information includes, for example, whether or not the subject is able to move by himself/herself, whether or not he or she is able to take meals by himself/herself, and whether or not the amount of food eaten has changed.

Image evaluation items 723 include items that can be evaluated using an image obtained by a camera or other imaging device included in sensor box 119 . As an example, the image evaluation item 723 includes presence or absence of loitering in the living room of the resident, degree of loitering, and the like.

Record items 721 include twelve items for nutrition management header specification information. Therefore, these 12 items are made available to any of the 64 items contained in the sheet of nutrition management header specification information required in table 710 .

Also, the grasped items 722 include 25 items regarding nutrition management header detail information. Therefore, these 25 items can be utilized in any of the 64 items contained in the sheet of nutrition management header specification information required in table 710 .

In addition, image evaluation items 723 include four items for nutrition management header specification information. Therefore, these four items can be utilized in any of the 64 items contained in the sheet of nutrition management header specification information required in table 710 .

[Convert data acquired by sensors to system items]
With reference to FIG. 8, the detection of being confined, which is one aspect of the state of a resident, will be described. FIG. 8 is a diagram showing an example in which data acquired by sensor box 119 is converted into data compatible with external systems 630 and 640. As shown in FIG.

In one aspect, the hard disk 5 holds a table 800 acquired by the sensor box 119 provided in the resident's room for each resident of the facility. The illustration in FIG. 8 shows part of the daily data acquired for the resident whose identification number is 001. FIG. Similarly, the hard disk 5 holds a table of similar data for other residents.

Table 800 includes image data, trajectory data in the living room, and sleep data (based on data obtained from a Doppler sensor) obtained for the resident.

The care record linking server 600 converts the data into data in a format compatible with external systems 630 and 640 . For example, care record linking server 600 generates data from table 800 indicating whether or not the resident has a tendency to stay indoors.

As an example, the CPU 1 of the care record linking server 600 aggregates the time classified as absent 840 and calculates the time during which the person is not in the living room. The remaining time, the sum of sleep 810, wakefulness 820 and room activity 830, is the estimated time spent in the living room. When the CPU 1 detects that the proportion of time spent in the living room in a day exceeds a preset reference value, the CPU 1 determines that the resident tends to stay indoors, and determines that the resident is active outside the room. In order to increase the number of patients, a message is displayed or other notification is provided to encourage the care staff to formulate a rehabilitation or care plan.

Furthermore, when the CPU 1 of the care record linking server 600 determines that the resident tends to stay indoors, the result of the determination can be input to the external systems 630 and 640 in a data format (for example, "1 ”). As a result, when the external systems 630 and 640 request input of the state of confinement for each resident, the CPU 1 of the care record linking server 600 converts the data ( Confinement situation by resident) is converted. The format is, for example, a CSV (Comma Separated Value) format, but may be another format. At least, the data format required by the external systems 630 and 640 with which the care record linking server 600 is linked should be registered in advance in the care record linking server 600 .

This eliminates the need for the user of the nursing care record linking server 600 (nursing staff, etc.) to convert data into a format compatible with the external systems 630, 640, thereby reducing the workload of the nursing staff, etc.

Although FIG. 8 exemplifies the form of binary information indicating whether or not the person is confined, the nursing care record linking server 600 converts the form of the data acquired at the facility into a form other than the binary information. may For example, instead of indicating whether or not the person is confined, it may be converted into the absolute value of the time corresponding to confinement or the ratio of the relevant time in a day. As an example, the nursing care record linkage server 600 calculates the average time per day from the total value of sleep 810, wakefulness 820, and indoor activity 830 for one week for each resident, and calculates the time corresponding to being confined. good too. In another aspect, when the external systems 630 and 640 request the percentage of time spent indoors in a day as an indicator of being indoors, the nursing care record linking server 600 calculates the percentage (%) = being indoors. The ratio can be calculated as the time corresponding to ÷ 24 x 100.

[Control structure]
Next, referring to FIG. 9, the control structure of the care record linking server 600 will be described. FIG. 9 is a flowchart showing an example of processing executed by CPU 1 of care record linking server 600 .

In step S910, CPU 1 accesses the history of image data. The history is obtained for each living room, and is accumulated in the hard disk 5 of the management server 200, for example.

In step S920, CPU 1 accesses the history of locus data in the living room. The history includes data acquired at regular time intervals for each resident.

At step S930, CPU 1 accesses the sleep data history obtained from the Doppler sensor. Sleep data is obtained for each resident.

In step S940, the CPU 1 sums up the time the resident stays in the living room for each resident.

At step S950, the CPU 1 determines the resident's state of being shut in using the counting result. For example, if the resident stays in the living room longer than the preset time, the CPU 1 determines that the resident is in a shut-in state. In another aspect, the CPU 1 can also determine that the resident is in a shut-in state when the percentage of time spent in the living room exceeds a certain percentage.

In step S960, CPU 1 converts the data format indicating the state of being shut up into the data format of the external system. For example, the CPU 1 converts an absolute amount, such as the time spent in the living room, into qualitative data (eg, 1 or 0) indicating whether the resident is in a shut-in state.

In step S970, CPU 1 outputs the converted data to external systems 630 and 640. FIG. By receiving qualitative data, the external systems 630 and 640 can grasp whether or not the resident is in a shut-in state.

[Visualization of change]
Visualization of changes will be described with reference to FIGS. 10 and 11. FIG. FIG. 10 is a diagram exemplifying a manner in which data stored in hard disk 5 is converted into a format compatible with the format of an external system. FIG. 11 is a flow chart showing part of the process executed by care record linking server 600 .

As shown in FIG. 10, hard disk 5 holds table 1000 . The table 1000 holds areas 1001-1009. An area 1001 stores a resident ID. An area 1002 stores the date when the data of the record was acquired. An area 1003 stores daytime activity hours. Area 1004 stores nighttime activity hours. Area 1005 stores the daytime travel speed. Area 1006 stores the nighttime travel speed. Area 1007 stores the sleep time during the day. Area 1008 stores the night sleep time. Area 1009 stores nursing care record data.

In one aspect, table 1000 stores data obtained for each resident. The storage period is the entire period, the period if stipulated by laws and regulations, and the period according to the setting if the setting to the effect that the information should be stored is individually given.

In one aspect, when the nursing care record cooperation server 600 receives from the outside an instruction to extract an index indicating a change in the state of a resident, it determines whether or not there is a change in the item designated as the state. For example, CPU 1 of care record linking server 600 calculates the difference between the latest data and preset past data (for example, data from half a year ago) regarding the daytime activity time (area 1003). , it is determined that the resident has been out of the house more than half a year ago. On the other hand, if another resident has less daytime activity time than half a year ago, the CPU 1 can determine that the other resident has not been out of the house since half a year ago.

The CPU 1 uses the data of the table 1000 to determine whether or not each resident has been out of the house compared to half a year ago, and writes the result to the RAM 4 . RAM 4 temporarily holds table 1010 . Table 1010 includes areas 1011 and 1012 . A resident ID is stored in the area 1011 . An area 1012 stores binary data indicating whether or not the user has been out of the house since half a year ago. For example, binary data (0) is stored for a resident whose resident ID is 001 because it has been determined that he has not been out of the house since half a year ago. On the other hand, binary data (1) is stored for the resident whose resident ID is 000 because it has been determined that he has been out of the house more than half a year ago.

When the external systems 630, 640 adopt the use of accepting the data format as shown in the area 1012 regarding the status of going out of the resident, the CPU 1 sends the derived binary data to the external systems 630, 640. , for example, in CSV format.

It should be noted that the detection of a change in the resident's condition is not limited to comparison with the daytime activity hours six months ago. It may be a comparison with the daytime activity hours one month ago or with the daytime activity hours one year ago.

Referring to FIG. 11, at step S1110, CPU 1 accesses the history of sensors and care records. In step S1120, CPU 1 reads the latest daytime activity time from the history data. In step S1130, CPU 1 reads the daytime activity time of a certain period of time ago (for example, 1 month ago, 6 months ago, 1 year ago, etc.) from the history data.

In step S1140, CPU 1 calculates the difference in the daytime activity time and determines the going-out situation. For example, when the CPU 1 detects that the recent daytime activity time is longer than the previous daytime activity time, the CPU 1 determines that the resident's going out is increasing. Conversely, when the CPU 1 detects that the recent daytime activity time is shorter than the previous daytime activity time, the CPU 1 determines that the resident's going out is decreasing.

At step S1150, CPU 1 converts the determination result into a data format suitable for external systems 630 and 640. FIG. For example, when the external systems 630 and 640 receive binary information indicating whether the number of outings of residents is increasing or decreasing, the CPU 1 outputs the determination result to the binary information 0 ( = not going out more) or 1 (=going out more).

In step S1160, CPU 1 outputs data converted into a predetermined format accepted by external systems 630 and 640. FIG.

[Interest table data linkage]
Data linkage regarding residents' interests will be described with reference to FIGS. 12 and 13. FIG. FIG. 12 is a diagram showing how information recorded by care staff is converted into a format compatible with external systems 630 and 640 .

As shown in FIG. 12A, the display 226 of the mobile terminal 220 used by the care staff displays a screen for the care staff to record the state of the resident for each care item. The screen displays multiple icons. When the care staff taps icon 1210, as shown in FIG. 12B, mobile terminal 220 switches screens, and display 226 displays screen 1220 for inputting observation records regarding meals.

Screen 1220 displays a plurality of care items prepared in advance for meals. When the care staff puts a check in the blank provided to the right of each care item, the mobile terminal 220 determines that the care item is applicable and transmits data identifying the applicable care item to the management server 200 . The CPU 1 of the management server 200 accumulates each received data in the hard disk 5 and reads each data from the hard disk 5 in response to the data extraction instruction.

For example, as shown in FIG. 12C, CPU1 writes a table 1230 to RAM4. Table 1230 includes areas 1231 , 1232 , 1233 and 1234 . A region 1231 stores resident identification data. A region 1232 stores binary data indicating whether the resident is looking forward to eating. An area 1233 stores binary data indicating whether or not the resident is concentrating on eating. A field 1234 stores binary data indicating whether or not the resident may choke on water.

In the case of a resident with a resident ID of 001, the resident is looking forward to eating, is concentrating on the meal, and may choke on water. is stored. On the other hand, in the case of the resident whose resident ID is 001, the resident is looking forward to eating, is concentrating on the meal, and may choke on water. 1) is stored. On the other hand, in the case of the resident with the resident ID of 002, it is recorded that he is looking forward to eating, cannot concentrate on eating, and does not choke on water. ) are stored, and binary data (=0) are stored in areas 1233 and 1234 .

Therefore, the external systems 630 and 640 store information such as whether or not the resident enjoys eating, whether or not he or she is concentrating on the meal, and whether or not he/she is choking with water as binary data as care items for the resident. , the care record linkage server 600 converts the contents of the care items stored in the hard disk 5 into a format that conforms to the format of the binary data, and outputs the converted data. .

FIG. 13 is a flow chart showing part of the process executed by CPU 1 of care record linking server 600 .

In step S1310, CPU 1 detects an instruction to popup an input screen. For example, when the care staff taps the icon 1210 on the screen of the mobile terminal 220 (FIG. 12(A)), the mobile terminal 220 displays a screen for inputting details of care items (FIG. 12(B)). .

In step S1320, CPU 1 displays a pop-up message on display 226 prompting the resident to enter required items. For example, the CPU 1 displays the name of the required item in a color different from that of other items (for example, red).

At step S1330, CPU 1 accepts input for each item in the message. For example, when the care staff taps a box field displayed on the right side of the screen, a check mark is entered in the box field in response to the tap. The care staff switches the screen of the mobile terminal 220 and continues necessary input.

In step S1340, CPU 1 detects pressing of a button for confirming registration of input content in response to an operation on an icon (not shown) for confirming input.

In step S1350, CPU 1 determines whether or not there is another resident to be entered.

In step S1360, CPU 1 creates a table from the confirmed input contents.
In step S1370, CPU 1 converts the data format of the table into the format for the external system. For example, the CPU 1 aggregates the data in the table and determines whether or not the total value is equal to or greater than a preset reference value. Data (eg, 1) indicating that the resident is applicable or data (eg, 0) indicating that the resident is not applicable is derived.

In step S1380, CPU 1 outputs the derived data to external systems 630 and 640 for each item.

[Text mining of care records]
Another aspect will be described with reference to FIGS. Nursing care records may be input as character information by nursing staff. Character information can also be converted into a format that conforms to the format required by the external systems 630,640.

FIG. 14 is a diagram showing how information recorded by care staff is converted into a format compatible with external systems 630 and 640 .

As shown in FIG. 14A, the display 226 of the mobile terminal 220 used by the care staff displays a screen for the care staff to record the state of the resident for each care item. The screen displays multiple icons. When the care staff taps the icon 1410, as shown in FIG. 14B, the mobile terminal 220 switches the screen, and the display 226 changes to a screen for the care staff to input the resident's care record as character information. 1420 is displayed.

Screen 1420 displays a screen on which the resident's daily care record can be entered in characters. The care staff uses the keyboard and voice recognition function of the mobile terminal 220 to input the care record as character information. Specifically, the care staff inputs the time, outline of actions (eg, getting up, eating, water supply, etc.), and actual care records to the mobile terminal 220 . After that, when the care staff presses a button (not shown) for confirming and registering the content, the mobile terminal 220 transmits the input character information to the care record linking server 600 . The CPU 1 of the care record linking server 600 accumulates each received data in the hard disk 5 and reads out each data from the hard disk 5 in response to the data extraction instruction.

For example, as shown in FIG. 14(C), CPU1 of care record linking server 600 writes table 1430 to RAM4. Table 1430 includes areas 1431 , 1432 , 1433 , 1434 and 1435 . A region 1431 stores resident identification data. A region 1432 stores binary data indicating whether or not the resident can wake up by himself. An area 1433 stores binary data indicating whether or not the resident can eat by himself. Area 1434 stores binary data indicating whether or not the resident may choke on water. A field 1435 stores binary data indicating whether or not the resident can eat solid food.

In the case of a resident with a resident ID of 001, binary data indicating that he/she can get up by himself/herself, that he/she can eat by himself/herself, that he/she chokes on water, and that he/she has difficulty in chewing is stored in areas 1432, 1433, 1434, and 1435, respectively. It is On the other hand, in the case of the resident whose resident ID is 001, binary data indicating that he/she can get up by himself/herself, that he/she cannot eat by himself/herself, that he/she does not choke on water, and that there is no difficulty in chewing is stored in areas 1432, 1433, 1434, 1435.

Therefore, the external systems 630 and 640 determine whether or not the resident can get up by themselves, whether or not they can eat by themselves, whether or not they can choke on water, and whether or not they have difficulty chewing. When requesting such information as binary data, the care record linkage server 600 converts the contents of the care items stored in the hard disk 5 into a format suitable for the format of the binary data, Transformed data can be output.

Referring to FIG. 15, the control structure of care record cooperation server 600 will be described. FIG. 15 is a flow chart showing part of the process executed by CPU 1 of care record linking server 600 .

In step S1510, CPU 1 reads the text data of the care record from hard disk 5 to the work area of RAM 4 in response to the trigger. The trigger is, for example, an instruction to read out the data of the care record linking server 600 to the external systems 630 and 640 .

In step S1520, CPU 1 performs text mining of keywords specified in advance from the text data. The keywords specified in advance are, for example, words and phrases representing actions such as getting up, eating, choking, and being unable to chew.

In step S1530, CPU 1 reflects the keyword acquisition result in table 1430 having predetermined items.

In step S1540, CPU 1 converts the format of the data reflected in table 1430 into the data format of the external system (for example, CSV format).

In step S1550, CPU 1 outputs to external systems 630, 640. FIG.
[Text mining]
Here, an example of extracting character information from care records will be described with reference to FIG. FIG. 16 is a diagram representing an example of text mining according to an embodiment.

As shown in FIG. 16(A), care records can be analyzed by morphological analysis and syntactic analysis. Specifically, as shown in FIG. 16(B), in a certain aspect, care records are analyzed by morphological analysis. In the morphological analysis, for example, if the regular expression is "food.* leave", "left" will not be extracted. Care record linking server 600 according to the present embodiment registers basic parts of verbs in a dictionary, and extracts the basic form of the conjugation even if variations of the conjugation form are included in the care record. For example, in the nursing care record "Leave staple food only", the term "leave" 1610 is not registered as a keyword, but only the basic term "leave" 1620 is registered. In this case, since basic terms are acquired, the CPU 1 can extract the information “leave” from the term “leave” 1610 even if the word “leave” is not included in the care record. Similarly, in another aspect, when the nursing care record includes character information “left”, the regular expression “food. Although it cannot be extracted, if the base form of the verb conjugation is registered as in the term 1640, the CPU 1 of the care record linking server 600 can extract the information "remain" from the registered content. .

FIGS. 16(C) and 16(D) show examples of parsing care records using parsing. For example, when the care record by the care staff is "Urinating but unable to collect urine", it may be erroneously determined that urination is not possible due to the expression at the beginning and the end. Therefore, care record linking server 600 according to the present embodiment performs syntax analysis as shown in FIG. It can be determined that the FIG. 16(D) is a diagram showing an example of output from data of care records.

Another aspect will be described with reference to FIGS. 17 and 18 . FIG. 17 is a diagram showing transition of screens displayed on the display 226 of the mobile terminal 220 used by the care staff. As shown in FIG. 17(A), the display 226 displays a screen for entering care records for a certain resident. When the care staff performs an operation to select area 1710 for inputting dietary care, display 226 displays detailed items 1720 regarding dietary care, as shown in FIG. 17B.

When the care staff selects one of the items shown in detailed item 1720, a screen for accepting input of care records is displayed as shown in FIG. 16(C). The care staff can input the care record as character information from this screen.

When the care staff confirms the registration of the care record, the portable terminal 220 transmits the care record to the care record linking server 600 . The care record linking server 600 can output data on the care record in a format that conforms to the format required by the external systems 630 and 640 .

Referring to FIG. 18, conversion of care records input from mobile terminal 220 will be described. FIG. 18 is a flow chart showing part of the processing executed by control device 221 of mobile terminal 220 .

In step S1810, control device 221 causes display 226 to display a screen for selecting a scene (input item). In step S1820, control device 221 accepts selection of an input item. In step S1830, control device 221 displays a screen for accepting record input for the selected input item. In step S 1840 , control device 221 accepts a recording input by the user of portable terminal 220 .

In step S1850, control device 221 determines whether or not there is an instruction to confirm the input. The instruction to confirm the input includes, for example, pressing an icon displayed on the display 226 . When control device 221 determines that the instruction has been given (YES in step S1850), it switches control to step S1860. Otherwise (NO in step S), control device 221 returns control to step S1840 and waits for input by the care staff.

In step S 1860 , control device 221 transmits the record data whose input has been confirmed to care record cooperation server 600 . When receiving the data, the nursing care record linking server 600 stores the data in the hard disk 5 . When the nursing care record linkage server 600 receives a data output request to the external systems 630 and 640, it compares numerical data with a preset threshold to generate binary data according to the comparison, and generates binary data according to the comparison. Character information is extracted using the aforementioned text mining.

[summary]
Some of the technical features disclosed in the above embodiments can be summarized as follows.

(1) According to one embodiment, CPU 1 has access to one or more data indicative of a resident's status. CPU 1 converts one or more data formats into a data format (eg, CSV format) required by a system other than a computer (eg, external systems 630, 640). The CPU 1 outputs the converted format data to the external systems 630 and 640 .

(2) In one aspect, the one or more data indicating the state of the resident includes data acquired from a sensor provided in the resident's room. The data required by the system includes data that qualitatively indicate the state of the resident. The CPU 1 converts the acquired data into qualitative data.

(3) In methods according to certain aspects, the data obtained from sensors (eg, sensor box 119) includes image data, resident trajectory data in the living room, and resident sleep data.

(4) In a certain aspect, the one or more data indicating the state of the resident includes character information determined to correspond from character information prepared in advance as information indicating the state of the resident. The data requested by the system include data that qualitatively indicate the state of the resident. The CPU 1 converts the character information into data that qualitatively indicates (for example, if the state of the resident corresponds to a predetermined state = 1, otherwise = 0, etc.).

(5) In one aspect, the one or more data indicative of the resident's condition includes a care record that describes the resident's condition. The data requested by the system include data that qualitatively indicate the state of the resident. The CPU 1 extracts words from the care record using, for example, text mining, and generates data indicating whether the extracted words correspond to keywords predefined in the system.

(6) According to a method according to a certain aspect, CPU 1 causes mobile terminal 220 capable of communicating with care record linking server 600 to output a message prompting the resident to enter the care record. CPU 1 further receives from mobile terminal 220 the care record that is input in response to the message. The CPU 1 converts the data format of the item included in the received nursing care record into a format predefined in the system for the item.

(7) In a certain aspect, one or more data indicating the state of the resident is received from a sensor (eg, sensor box 119) provided in the resident's room at a first time (eg, one week ago, one month ago , three months ago, half a year ago, etc.) and a second time period after the first time period (e.g., the current time or the last time it was obtained). data and The data requested by the external systems 630, 640 includes data indicating whether or not the resident's condition has changed. The CPU 1 generates data qualitatively indicating the state of the resident based on the change from the data acquired during the first period to the data acquired during the second period.

(8) In a certain aspect, the CPU 1 converts one or more data from quantitative data (for example, physical quantities and signals acquired by the sensor box 119) to qualitative data (whether the resident corresponds to a predetermined state). 0 or 1, etc.) indicating whether or not

(9) According to another embodiment, a care information conversion device (for example, care record cooperation server 600) is provided. The nursing care information conversion device requires an access unit 612 for accessing a storage device storing one or more data indicating the state of the resident and one or more data formats in a system other than the care information conversion device. A data format conversion unit 615 for converting data into a data format and an output unit 622 for outputting data in the format after conversion are provided.

(10) According to still another embodiment, there is provided a program that causes computer system 400 to perform any of the above methods.

According to the embodiments disclosed above, the nursing care record linkage server 600 converts the data format acquired for each resident into the data format required by LIFE and other external systems 630, 640, and after conversion data can be output. As a result, the data required by the external systems 630 and 640 can be easily prepared, and the burden on care staff can be reduced.

It should be considered that the embodiments disclosed this time are illustrative in all respects and not restrictive. The scope of the present invention is indicated by the scope of the claims rather than the above description, and is intended to include all modifications within the meaning and range of equivalents of the scope of the claims.

2 mouse, 3 keyboard, 4,103,223 RAM, 5 hard disk, 6 optical disk drive, 7,104,224 communication interface, 8 monitor, 9,102,222 ROM, 16 external network, 31 range, 60,100 system , 101,221 control device, 105 camera, 106 Doppler sensor, 107 wireless communication device, 108,228 storage device, 110,120 living room, 111,121 resident, 112 furniture, 113 bed, 114 toilet, 115 care call child device, 116 toilet sensor, 117, 610 sensor, 118 door sensor, 119 sensor box, 130 gateway server, 135 switching device, 140 access point, 141, 142, 143, 144 caregiver, 150 cloud server, 160 push server, 161, 162 , 163, 164, 220 mobile terminal, 180 facility, 195 wireless base station, 200 management server, 226 display, 229 input device, 241 care call button, 290 vital sensor, 400 computer system, 600 care record cooperation server, 611 control unit, 612 access unit, 613 aggregation unit, 614 comparison unit, 615 data format conversion unit, 620 storage unit, 621 display unit, 622 output unit, 630, 640 external system, 710, 720, 800, 1000, 1010, 1230, 1430 table .

Claims (17)

A data transformation method performed by a computer to output data, comprising:
accessing one or more data indicative of the status of the resident;
converting the one or more data formats to a data format required by the non-computer system;
and outputting the data in the converted form. The one or more data indicating the state of the resident includes data acquired from a sensor provided in the resident's room,
The data required by the system includes data qualitatively indicating the state of the resident,
2. The data conversion method according to claim 1, wherein said converting step includes converting said acquired data into said qualitatively indicative data. 3. The data conversion method according to claim 2, wherein the data acquired from the sensor includes image data, trajectory data of the resident in the living room, and sleep data of the resident. The one or more data indicating the state of the resident includes character information determined to correspond from character information prepared in advance as information indicating the state of the resident,
The data required by the system includes data that qualitatively indicates the state of the resident,
2. The data conversion method according to claim 1, wherein said converting step includes converting said character information into said qualitatively indicated data. The one or more data indicating the state of the resident includes a care record describing the state of the resident,
The data required by the system includes data that qualitatively indicates the state of the resident,
2. The method of claim 1, wherein the converting step includes extracting words from the care record and generating data indicating whether the extracted words correspond to predefined keywords in the system. Described data conversion method. a step of causing the portable terminal capable of communicating with the computer to output a message prompting the resident to enter the nursing care record;
receiving from the mobile terminal a care record entered in response to the message;
2. The data conversion method according to claim 1, wherein said converting step includes converting a data format of an item included in said received care record into a format predefined in said system for said item. The one or more data indicating the state of the resident are data obtained from sensors provided in the living room of the resident during a first period and data obtained during a second period after the first period. data and
The data required by the system includes data indicating whether the status of the resident has changed,
The converting step generates data qualitatively indicating the state of the resident based on a change from the data acquired in the first period to the data acquired in the second period. 2. The data conversion method of claim 1, comprising: 8. The data conversion method according to claim 1, wherein said converting step includes converting quantitative data into qualitative data for said one or more data. A nursing care information conversion device,
access means for accessing a storage device storing one or more data indicating the state of a resident;
conversion means for converting the one or more data formats into a data format required by a system other than the nursing care information conversion device;
and an output means for outputting data in a post-conversion format. The one or more data indicating the state of the resident includes data acquired from a sensor provided in the resident's room,
The data required by the system includes data qualitatively indicating the state of the resident,
10. The nursing care information conversion apparatus according to claim 9, wherein said conversion means converts said acquired data into said qualitatively indicated data. 11. The nursing care information conversion apparatus according to claim 10, wherein the data acquired from said sensor includes image data, trajectory data of said resident in said living room, and sleep data of said resident. The one or more data indicating the state of the resident includes character information determined to correspond from character information prepared in advance as information indicating the state of the resident,
The data required by the system includes data that qualitatively indicates the state of the resident,
10. The nursing care information conversion apparatus according to claim 9, wherein said conversion means converts said character information into said qualitatively indicated data. The one or more data indicating the state of the resident includes a care record describing the state of the resident,
The data required by the system includes data that qualitatively indicates the state of the resident,
10. Nursing care information according to claim 9, wherein said converting means extracts words from said nursing care records and generates data indicating whether said extracted words correspond to keywords predefined in said system. conversion device. Further comprising receiving means for receiving a care record input in response to a message prompting the resident to input a care record from a mobile terminal,
10. The nursing care information conversion apparatus according to claim 9, wherein said converting means converts a data format of an item included in said received nursing care record into a format predefined in said system for said item. The one or more data indicating the state of the resident are data obtained from sensors provided in the living room of the resident during a first period and data obtained during a second period after the first period. data and
The data required by the system includes data indicating whether the status of the resident has changed,
The conversion means generates data qualitatively indicating the state of the resident based on a change from the data acquired during the first period to the data acquired during the second period. 10. The nursing care information conversion device according to 9. 16. The nursing care information conversion device according to claim 9, wherein said conversion means converts quantitative data into qualitative data for said one or more data. A program that causes a computer to execute the data conversion method according to any one of claims 1 to 8.

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