JP2021163318A - Reception support device, reception support method, reception support system, and reception support program - Google Patents

Abstract

To support facilitation of identification of patients and improvement in efficiency of reception operations.SOLUTION: A reception support device 1 supports reception operations in a medical institution, and comprises: an imaging unit 11 that picks up a face image of a patient; a patient information acquisition unit 12 that transmits the face image to a face authentication server 3 and acquires patient information corresponding to the face image from the face authentication server 3; a display unit 16 that displays the patient information; and a measured value registration unit 15 that registers a measured value measured by a scale 2 and the patient information in the face authentication sever 3 in association with each other.SELECTED DRAWING: Figure 2

Description

The present invention relates to a reception support device, a reception support system, a reception support method, and a reception support program that support reception operations in a medical institution.

With the development of computer technology in recent years, computers have come to be used in various fields. Systematization of electronic medical record systems is also being promoted in hospitals. Further, Patent Document 1 describes a hospital reception system for streamlining hospital reception operations.

Japanese Unexamined Patent Publication No. 2005-339309

Hospitals generally authenticate and identify patients using a medical examination ticket that includes the patient's name, patient number, and so on. However, in the case of a medical examination ticket, there is a possibility that the medical examination ticket may be lost or the patient may forget to carry the medical examination ticket. Even if you have a medical examination ticket, it takes time and effort to search for the medical examination ticket in the bag. For example, in a clinic where dialysis treatment is performed, the weight is measured before and after the dialysis treatment, but it is necessary to authenticate the patient each time, and the reception is crowded.

In addition, patient identification is a stressful task for medical staff because it leads to misunderstanding of patients.

The present invention has been made in view of the above circumstances, and an object of the present invention is a reception support device, a reception support method, a reception support system, and a reception support program that support facilitation of patient identification and efficiency of reception work. Is to provide.

In order to solve the above problems, the present invention is a reception support device that supports reception work in a medical institution, and transmits the face image to an imaging unit that captures a patient's face image and a face recognition server. The face authentication is performed by associating the patient information acquisition unit that acquires the patient information corresponding to the face image from the face authentication server, the display unit that displays the patient information, and the measured value measured by the weight scale with the patient information. It is provided with a measurement value registration unit to be registered in the server.

The present invention is a reception support system including the reception support device and a face recognition server, and the face recognition server analyzes a face image transmitted from the reception support device and analyzes the face image of the face image. It includes a face recognition unit that authenticates a patient and transmits the patient information of the patient to the reception support device, and a data management unit that registers the measured value received from the reception support device in association with the patient information. ..

The present invention is a reception support method performed by a reception support device that supports reception operations in a medical institution, in which an imaging step of capturing a patient's face image and a transmission of the face image to a face recognition server are performed. The patient information acquisition step for acquiring the patient information corresponding to the face image, the display step for displaying the patient information, and the measured value measured by the weight scale are registered in the face authentication server in association with the patient information. Perform the measurement value registration step and.

The present invention is a reception support program characterized in that a computer functions as the reception support device.

According to the present invention, it is possible to provide a reception support device, a reception support method, a reception support system, and a reception support program that support facilitation of patient identification and efficiency of reception work.

It is an overall block diagram of the reception support system which concerns on embodiment of this invention. It is a block diagram which shows the structure of a reception support device and a face recognition server. It is a figure which shows an example of the measured value table. It is a figure which shows an example of the weight management table. It is a flowchart which shows the procedure of the weight measurement at the time of performing dialysis treatment. It is a sequence diagram which shows the weight measurement process. This is an example of screen transition when standing and measuring the weight. This is an example of screen transition when sitting in a wheelchair and measuring the weight. It is a sequence diagram which shows the process of measuring the weight of a wheelchair from a measurement waiting list. This is an example of screen transition when a patient is specified from the measurement waiting list and the wheelchair is measured.

Hereinafter, embodiments of the present invention will be described with reference to the drawings.

(System configuration)
FIG. 1 is a configuration diagram showing an overall configuration of the reception support system of the present embodiment. The reception support system of the present embodiment includes a reception support device 1, a weight scale 2, and a face recognition server 3.

The reception support device 1 supports reception work at a medical institution. In the present embodiment, the case where the patient receiving the dialysis treatment supports the reception work when measuring the body weight will be described below as an example, but the present embodiment is not limited to this. The reception support device 1 includes an imaging unit 11 such as a camera, transmits a patient's face image imaged (photographed) by the imaging unit 11 to the face recognition server 3, and displays patient information of the patient authenticated by the face recognition server 3. It is displayed on the unit (display) 16. The display unit 12 of the present embodiment includes a touch panel that can be operated by touching it with a finger, and also functions as an input device.

The reception support device 1 may include an output unit 17 (printer) that outputs a paper on which the patient information of the authenticated patient and the measured body weight are printed. Further, the reception support device 1 may include a barcode reader (not shown). The barcode reader can read the barcode indicating the patient ID printed on the medical examination ticket or the paper output by the output unit 17.

The weight scale 2 measures the weight of the patient, the weight of the wheelchair, and the like. The weight scale 2 of the present embodiment is a weight scale compatible with a wheelchair, and the patient can measure the weight while riding in a wheelchair. The weight scale 2 has a communication function, and here, the measured value is transmitted to the reception support device 1. In this embodiment, a commercially available general-purpose weight scale 2 can be used.

The face recognition server 3 authenticates the patient using the face image. The face recognition server 3 of the present embodiment performs image analysis of the face image transmitted from the reception support device 1 to authenticate the patient corresponding to the face image. Further, the face recognition server 3 transmits the patient information of the patient corresponding to the face image to the reception support device 1.

In FIG. 1, one set of the reception support device 1 and the weight scale 2 are connected to the face recognition server 3, but a plurality of sets of the reception support device 1 and the weight scale 2 are connected to the face recognition server 3. May be good.

FIG. 2 is a block diagram showing the configurations of the reception support device 1 and the face recognition server 3 of the present embodiment. These devices are connected to each other via a network or the like. The reception support device 1 illustrated includes an imaging unit 11, a patient information acquisition unit 12, a measurement value communication unit 13, a measurement value acquisition unit 14, a measurement value registration unit 15, a display unit 16, and an output unit 17. To be equipped.

The imaging unit 11 is a camera that captures an image of the patient's face. In the present embodiment, a wide-angle lens may be used for the imaging unit 11. As a result, both the standing patient and the patient sitting in the wheelchair can detect the region of the patient's face and capture the facial image without changing the position of the imaging unit 11.

The patient information acquisition unit 12 transmits the face image to the face authentication server 3 and acquires the patient information of the patient corresponding to the face image from the face authentication server 3. The patient information acquisition unit 12 may acquire a measurement waiting list, which will be described later, from the face authentication server 3.

The measured value communication unit 13 adds the reception time at which the measured value is received and the weight scale ID that identifies the weight scale 2 to the measured value transmitted from the weight scale 2, and transmits the measured value to the face recognition server 3. The measurement value acquisition unit 14 transmits a search request including the display time when the display unit 16 displays the patient information and the weight scale ID to the face recognition server 3, and the reception time from the face recognition server 3 after the display time. In, the measured value in which the scale ID matching the scale ID is set is acquired.

The measured value registration unit 15 registers the measured value measured by the weight scale 2 in the face recognition server 3 in association with the patient information. In the present embodiment, the measurement value registration unit 15 registers the measurement value acquired by the measurement value acquisition unit 14 in the face recognition server 3 in association with the patient information. When the patient is a patient in a wheelchair, the measured value registration unit 15 registers the measured value of the patient in the wheelchair and the measured value of the wheelchair in the face authentication server 3 in association with the patient information.

The display unit 16 displays patient information. The display unit 16 displays a measurement waiting list of the patient in which only one of the measured value of the patient in the wheelchair and the measured value of the wheelchair is registered in the face recognition server 3. The display unit 16 measures the determination result of whether each patient in the measurement waiting list is before or after dialysis treatment, which is determined based on the time when the measured value is registered in the face authentication server 3 immediately before. It may be displayed in the waiting list. The display unit 16 may display the measured value, the tare data, and the body weight corrected for the measured value using the tare data, together with the patient information. The output unit 17 outputs a paper on which patient information and the body weight measured by the weight scale 2 are printed.

The face recognition server 3 authenticates the patient using the face image. The face recognition server 3 of the present embodiment includes a face recognition unit 31, a list generation unit 32, a data management unit 33, a patient information DB 33, a measured value table 35, and a weight management table 36.

The face recognition unit 31 analyzes the face image transmitted from the reception support device 1 to authenticate the patient with the face image, and transmits the patient information of the patient to the reception support device 1. Specifically, the face recognition unit 31 includes a transmitted face image and a large number of face images registered in the patient information DB 34 based on the position and size of feature points such as the eyes, nose, and mouth of the face. Is collated, and a face image in which matching feature points exceed a predetermined threshold is searched. The face recognition unit 31 reads the patient information of the patient corresponding to the searched face image from the patient information DB 34 and transmits it to the reception support device 1.

The list generation unit 32 receives the request from the reception support device 1, refers to the weight management table 36, and only one of the measured value of the patient in the wheelchair and the measured value of the wheelchair is the face recognition server. Generate a measurement waiting list of patients registered in 3. The list generation unit 32 determines whether each patient in the measurement waiting list is before or after dialysis treatment based on the time when the measured value is registered in the weight management table 36 immediately before, and waits for the measurement result. It may be set in the list.

The data management unit 33 registers the measured value received from the reception support device 1 in the weight management table 36 in association with the patient information.

In the patient information DB 34, the patient information of each patient and the facial image are registered in advance. The patient information includes patient ID, name, gender, date of birth, weight-related information, and the like. Weight-related information includes tare data (weight of slippers, clothes, etc.), dry weight, and the like. A patient ID is added to the face image.

FIG. 3 is a diagram showing an example of the measured value table 35. Each record in the illustrated measurement value table 35 has a weight scale ID, a reception time, and a measurement value. The weight scale ID is identification information for identifying the weight scale 2 when there are a plurality of weight scales 2. The reception time is the time when the reception support device 1 receives the measured value from the weight scale 2. The data management unit 33 receives a registration request including the weight scale ID, the reception time, and the measured value from the reception support device 1, and updates the measured value table 35. Specifically, the data management unit 33 overwrites and updates the reception time and the measured value of the record of the scale ID specified in the registration request.

FIG. 4 is a diagram showing an example of the weight management table 36. Each record of the illustrated weight management table 36 has a patient ID, a measurement date, an update time, a body weight, a weight of a wheelchair, and a weight + a weight of a wheelchair. The data management unit 33 receives a registration request including the patient ID, the type of the measured value, and the measured value from the reception support device 1, and updates the weight management table 36.

Specifically, in the case of a patient who weighs standing, the data management unit 33 generates a record in which the measured value is set for the type of body weight specified in the registration request, as shown in the record of patient ID: 0001. Register in the weight management table 36. The update time is set to the time when the record is added (updated).

When sitting in a wheelchair and weighing, only the measured value of the patient in the wheelchair or only the measured value of the wheelchair is set as shown in the record 61 of the patient ID: 0002 or the record 62 of the patient ID: 0003. There is a record in the middle of measurement and a record in which the weight is set and the measurement is completed as shown in the record 63 of the patient ID: 0003.

(Flow of dialysis treatment)
FIG. 5 is a flowchart showing a procedure for measuring body weight when performing dialysis treatment. FIG. 3 (a) shows the procedure of a patient who weighs while standing, and FIG. 3 (b) shows the procedure of a patient who weighs while sitting in a wheelchair. Weight measurements are taken twice, before and after dialysis treatment.

In FIG. 3A, the reception support device 1 transmits a face image of a patient standing in front of the reception support device 1 to the face recognition server 3, and the face recognition server 3 performs face recognition to identify the patient. (S31). Then, when the patient gets on the weight scale 2, the weight scale 2 measures the weight of the patient (S32). As a result, the weight of the patient before the dialysis treatment is determined, and the reception support device 1 associates the weight measured by the weight scale 2 with the patient authenticated by the face authentication server 3 and the weight management table 36 of the face authentication server. Register in (S33).

The patient then receives dialysis treatment (S34). Since the body weight measurement (S35 to S37) after the dialysis treatment is the same as the body weight measurement (S31 to S33) before the dialysis treatment, the description thereof is omitted here.

In FIG. 3B, the reception support device 1 transmits a face image of a patient sitting in a wheelchair in front of the reception support device 1 to the face recognition server 3, and the face recognition server 3 performs face recognition to perform the patient. (S41). Then, when the patient rides on the weight scale 2 while sitting in the wheelchair, the weight scale 2 measures the weight of the patient and the wheelchair (S42). The reception support device 1 registers the measured value (patient + wheelchair weight) measured by the weight scale 2 in the weight management table 36 of the face recognition server 3 in association with the patient authenticated by the face recognition server 3 (S43). ..

The caregiver (including medical staff) then weighs the wheelchair after guiding the patient to bed. At this time, since the patient is not in front of the reception support device 1, the caregiver inputs a request for displaying the measurement waiting list to the reception support device 1 in order to specify the patient (S44). The caregiver designates the relevant patient from the waiting list and then places the wheelchair on the scale 2. The scale 2 measures the weight of the wheelchair only (S45). The reception support device 1 determines the value obtained by subtracting the measured value of the wheelchair from the measured value of S42 as the weight of the patient, and associates the weight of the patient and the weight of the wheelchair with the patient designated by the waiting squirrel and faces the face. Register in the weight management table 36 of the authentication server 3 (S46).

The patient then receives dialysis treatment (S47). Regarding the weight measurement after the dialysis treatment, first, the weight of the wheelchair alone is measured (S48 to S50), and then the weight of the patient sitting in the wheelchair is measured (S51 to S53).

Specifically, the caregiver selects the corresponding patient from the displayed patients such as the patient selection screen and designates the patient (S48). Further, when the caregiver has the barcode of the patient ID, the caregiver may specify the patient by holding the barcode over the barcode reader provided in the reception support device 1. It is assumed that the barcode is set on a medical examination ticket or a paper on which the output unit 17 prints patient information, weight, etc. at the time of weight measurement before dialysis treatment. Then, the caregiver puts the wheelchair on the scale 2 and measures the weight of only the wheelchair (S49). The reception support device 1 registers the measured value of the wheelchair measured by the weight scale 2 in the weight management table 36 of the face recognition server 3 in association with the patient designated in S48 (S50).

Then, the weight of the patient sitting in the wheelchair is measured. At this time, the caregiver or the patient inputs a request for displaying the measurement waiting list to the reception support device 1 in order to specify the patient (S51). The caregiver or the like designates the corresponding patient from the measurement waiting list, and the patient rides on the scale 2 while sitting in a wheelchair. The scale 2 measures the weight of the patient and the wheelchair (S52). The reception support device 1 determines the value obtained by subtracting the measured value of the wheelchair of S49 from the measured value of S52 as the patient's weight, and designates the determined patient's weight and the measured values of the patient and the wheelchair in the measurement waiting list. It is registered in the weight management table 36 of the face recognition server 3 in association with the patient (S53).

Note that S48 to S50 can be omitted when using the same wheelchair as the wheelchair measured in S45. In this case, in S51, instead of designating the patient in the measurement waiting list, the patient may be authenticated by the face recognition of S41.

(System operation)
FIG. 6 is a sequence diagram showing the body weight measurement process of the present embodiment. First, the case of a patient who stands and measures the body weight will be described. FIG. 7 is an example of the screen transition displayed on the reception support device 1 when the body weight is measured while standing.

The reception support device 1 displays the menu screen 71 of FIG. 7. When the patient touches the upper part of the menu screen 71 with a finger, the reception support device 1 displays the authentication screen 72 and activates the imaging unit 11. The imaging unit 11 images the face of the patient standing in front of the reception support device 1. Here, the reception support device 1 displays a moving image of the face image taken by the imaging unit 11 in a predetermined area 721 of the authentication screen 72, and performs face recognition of the face image at a predetermined frame rate (n frames / second). It is transmitted to the server 3 (S11).

The face recognition server 3 collates the transmitted face image with a large number of face images registered in the patient information DB 34, and authenticates the patient with the face image whose facial feature points exceed a predetermined threshold and match (S12). .. The face recognition server 3 reads the patient information of the authenticated patient from the patient information DB 34 (S13), and transmits the read patient information to the reception support device 1 (S14). The reception support device 1 displays patient information (S15). Here, the reception support device 1 displays the weight measurement screen 73 of FIG. 7. On the illustrated weight measurement screen 73, patient ID, name, date of birth, tare data 732 for correcting body weight, and the like are displayed as patient information.

The patient gets on the scale 2 when the weight measurement screen 73 is displayed. The weight scale 2 measures the weight of the patient (S16) and transmits the measured value to the reception support device 1 (S17). The reception support device 1 of the present embodiment is a device that does not perform inter-browser communication (inter-process communication). Therefore, the measured value communication unit 13 of the reception support device 1 adds the weight scale ID of the weight scale 2 and the reception time at which the measured value is received to the measured value received from the weight scale 2, and the face recognition server. It is transmitted to 3 (S18). The face recognition server 3 updates the measured value table 35 with the transmitted measured value and the received time (S19). That is, the face recognition server 3 overwrites and updates the reception time and the measured value of the transmitted weight scale ID record.

After displaying the patient information (weight measurement screen 73) in S15, the reception support device 1 transmits a search request for acquiring the measured value to the face authentication server 3 (S20). The reception support device 1 polls the search request at regular intervals until the measured value is acquired. The search request includes the weight scale ID and the display time when the patient information is displayed in S15. The face authentication server 3 refers to the measured value table 35, and if there is a record of the scale ID specified in the search request in which the reception time after the display time is set, the face authentication server 3 accepts the measured value of the record. It is transmitted to the support device 1 (S21).

When the reception support device 1 performs inter-browser communication (inter-process communication), the processes from S18 to S21 may be omitted.

The reception support device 1 sets the measured value 731 of the weight measurement screen 73 to the measured value received from the face authentication server 3 and updates the weight measurement screen 73 (S22). Further, the reception support device 1 sets a value obtained by correcting (subtracting) the measured value 731 received from the face authentication server 3 with the tare data 732 on the weight 733 of the weight measurement screen 73. In addition to the tare data 732 registered in advance, the patient can correct the measured value according to the clothes of the day by inputting a numerical value in "Other correction" 734.

When the patient touches the confirmation button on the weight measurement screen 73, the reception support device 1 sends a registration request including the patient information (here, the patient ID) and the weight displayed on the screen 73 to the face recognition server 3. Transmit (S23). The face recognition server 3 registers the weight in the weight management table 36. Specifically, the face authentication server 3 generates a record including the patient ID specified in the registration request, the update time at which the record was generated, and the body weight, and adds the record to the body weight management table 36. In the case of a patient who weighs while standing, "wheelchair" and "weight + wheelchair" are spaces.

Next, a case of sitting in a wheelchair and measuring the weight will be described.

FIG. 8 is an example of the screen transition displayed on the reception support device 1 when the body weight is measured before the dialysis treatment while sitting in a wheelchair (FIGS. 5 (b): S41 to S43). The menu screen 81 and the authentication screen 82 of FIG. 8 are the same as the menu screen 71 and the authentication screen 72 of FIG. 7. The body weight measurement process in this case is the same as the sequence diagram shown in FIG. The following describes mainly the differences from the case of standing weight measurement.

The reception support device 1 displays the menu screen 81. When the patient or the caregiver touches the pre-measurement 811 on the menu screen 81 with a finger, the reception support device 1 displays the authentication screen 82 and activates the imaging unit 11. The imaging unit 11 images the patient's face in front of the reception support device 1. The reception support device 1 displays a moving image of the captured face image on the authentication screen 82, and transmits the face image to the face authentication server 3 at a predetermined frame rate (S11). The imaging unit 11 detects a region of the face of a patient sitting in a wheelchair with a wide-angle lens and captures a facial image. Since S12 to S14 are the same as in the case of a standing patient, description thereof will be omitted here.

Then, the reception support device 1 displays the weight measurement screen 83 of FIG. 8 (S15). Here, since the weight is measured before the dialysis treatment, the weight of the wheelchair + body weight is first measured. When the weight measurement screen 83 is displayed, the patient gets on the scale 2 while sitting in a wheelchair. Since S16 to S21 are the same as in the case of a standing patient, description thereof will be omitted here. Then, the reception support device 1 sets the measured value received from the face authentication server 3 to the measured value 831 on the weight measurement screen 83, and updates the weight measurement screen 83 (S22). In addition to the tare data registered in advance, the patient can correct the measured value according to the clothes of the day by inputting a numerical value in "Other correction".

The reception support device 1 makes a registration request including the patient information (here, the patient ID) and the measured value displayed on the screen 83 by the patient touching the confirmation button on the weight measurement screen 83. (S23). The face recognition server 3 registers the weight in the weight management table 36. Specifically, the face recognition server 3 generates a record including the patient ID specified in the registration request, the update time at which the record was generated, and "weight + wheelchair", and adds the record to the weight management table 36. .. At this point, "weight" and "wheelchair" are spaces.

Next, when sitting in a wheelchair and measuring the weight, a process of designating a patient from the measurement waiting list for which the weight measurement has not been completed and measuring the weight of the wheelchair or the weight + the weight of the wheelchair will be described.

FIG. 9 is a sequence diagram showing a process of designating a patient from the measurement waiting list and measuring the weight of a wheelchair or the like. FIG. 10 is an example of a screen transition displayed on the reception support device 1 when a patient is designated from the measurement waiting list and the wheelchair is measured (FIGS. 5 (b): S44 to S46). The menu screen 9 of FIG. 10 is the same as the menu screen 71 of FIG.

The reception support device 1 displays the menu screen 91. When the patient touches the measurement waiting 911 on the menu screen 91 with a finger, the reception support device 1 requests the measurement waiting list from the face authentication server 3 (S61).

The face recognition server 3 refers to the weight management table 36 and extracts a record in which the measurement date is the current date (today) and the weight column is blank. For example, in the case of the weight management table 36 shown in FIG. 4, the face recognition server 3 extracts the record 61 having the patient ID of 0002 and the record 62 having the patient ID 0003. Then, the face recognition server 3 acquires the patient information corresponding to the patient ID of each extracted record from the patient information DB 34 and generates a measurement waiting list (S62).

The face recognition server 3 may determine whether each patient in the determination waiting list is before dialysis treatment or after dialysis treatment based on the time when the measured value is registered immediately before. Specifically, the face recognition server 3 determines whether the measurement state of the patient is before or after the dialysis treatment by using the update time of the record immediately before the extracted record. For example, the face recognition server 3 compares the current time with the update time of the immediately preceding record, and if the time from the update time to the current time exceeds a predetermined time (for example, 1 hour), after the dialysis treatment. It is determined that the patient is waiting for the measurement of the post-weight.

In the case of the weight management table shown in FIG. 4, the update time of the record 63 immediately before the record 62 of the patient ID 0003 is 9:00, and the current time is 12:00. In this case, the face recognition server 3 determines that the patient in the extracted record 62 is waiting for the post-weight measurement after the dialysis treatment because the time from the update time of the immediately preceding record to the current time exceeds one hour. .. In addition, the face recognition server 3 determines the weight before dialysis treatment when the time from the update time of the previous record to the current time is less than one hour, or when the record immediately before the record extracted on the current day does not exist. Judged as waiting for measurement.

The face recognition server 3 transmits the generated measurement waiting list to the reception support device 1 (S63). The reception support device 1 displays a measurement waiting list transmitted from the face recognition server 3 (S64). Here, the reception support device 1 displays the measurement waiting list screen 92 shown in FIG. On the illustrated screen 92, a patient ID, a name, a date of birth, a measurement state, and the like are displayed for each patient. The caregiver selects a patient by touching the record (display area) of the target patient. The reception support device 1 transmits the patient ID of the selected patient to the face authentication server 3 (S65).

The face recognition server 3 acquires the transmitted patient information of the patient ID from the patient information DB 34 (S66), further acquires the measured value (here, weight + wheelchair) of the patient from the weight management table 36, and supports reception. It is transmitted to the device 1 (S67).

Then, the reception support device 1 displays the patient information (S68). Here, the reception support device 1 displays the weight measurement screen 93 of FIG. On the body weight measurement screen 93, a body weight + wheelchair measurement value 931 is set. When the weight measurement screen 93 is displayed, the caregiver puts the wheelchair on the scale 2.

Since S69 to S74 are the same as 16 to S21 in FIG. 6, description thereof will be omitted here. Then, the reception support device 1 sets the measured value received from the face recognition server 3 to the measured value 932 of the wheelchair on the weight measurement screen 93, and updates the weight measurement screen 93 (S75). Further, the reception support device 1 sets a value obtained by subtracting the wheelchair measurement value 932 and the tare data 933 from the body weight + wheelchair measurement value 931 on the body weight 934 on the weight measurement screen 93. In addition to the tare data registered in advance, the patient can correct the measured value according to the clothes of the day by inputting a numerical value in "Other correction".

When the patient touches the confirmation button on the weight measurement screen 93, the reception support device 1 requests registration including the patient information (here, the patient ID) displayed on the screen 93, the measured value of the wheelchair, and the weight. It is transmitted to the face recognition server 3 (S76). The face recognition server 3 registers the weight and weight of the wheelchair in the weight management table 36. For example, when the patient ID of the weight management table 36 shown in FIG. 4 is 0002, the face recognition server 3 sets the values specified in the registration request in the weight and wheelchair fields of the record 61, respectively, and sets the update time to the current time. Update to.

The case of sitting in a wheelchair and measuring the body weight after the dialysis treatment (FIGS. 5 (b): S48 to S53) is the same as the case of measuring the body weight before the above-mentioned dialysis treatment. However, when designating a patient in S48, the caregiver selects the corresponding patient from the displayed patients such as the patient selection screen and designates the patient. Alternatively, if the caregiver has a barcode of the patient ID, the caregiver may specify the patient by holding the barcode over the barcode reader provided in the reception support device 1.

(Effect of this embodiment)
The reception support device 1 that supports the reception work in the medical institution of the present embodiment described above transmits the face image to the face authentication server 3 and the imaging unit 11 that captures the face image of the patient, and the face is transmitted from the face authentication server 3 to the face. The patient information acquisition unit 12 that acquires the patient information corresponding to the image, the display unit 16 that displays the patient information, and the measurement value that is registered in the face authentication server 3 by associating the measurement value measured by the weight scale 2 with the patient information. It includes a registration unit 15.

Thus, in the present embodiment, the patient is identified by using face recognition, which is one of biometrics. This eliminates the need for the patient to carry a card such as a medical examination ticket. Therefore, in the present embodiment, even if the patient loses the card or forgets the card, the patient can be authenticated with high accuracy. can. In addition, since face recognition does not require the card to be taken in and out, the reception time for weight measurement can be shortened and congestion can be alleviated.

By using face recognition in the present embodiment, it is possible to avoid a patient's mistake at the time of weight measurement even if the medical staff is replaced. That is, the workload, working time, and psychological stress of the medical staff can be reduced, and the convenience of the medical staff can be improved.

Further, in the present embodiment, since the patient is identified by using face recognition, the face image of the patient information DB 34 is displayed even when the medical examination ticket, the insurance certificate, the medicine notebook, etc. are lost due to a large-scale disaster or the like. By authenticating the patient using the patient and referring to the patient information (for example, treatment history) in the patient information DB 34, the treatment can be restarted quickly.

(Hardware configuration)
As the reception support device 1 and the face recognition server 3 described above, for example, a general-purpose computer system can be used. The illustrated computer system includes a CPU (Central Processing Unit, processor), a memory, a storage (HDD: Hard Disk Drive, SSD: Solid State Drive), a communication device, an input device, and an output device. Memory and storage are storage devices. In this computer system, each function of each device is realized by executing a predetermined program loaded on the memory by the CPU. For example, each function of the reception support device 1 and the face recognition server 3 has the CPU of the reception support device 1 in the case of the program for the reception support device 1 and the CPU of the face recognition server 3 in the case of the program for the face recognition server 3. However, it is realized by executing each.

Further, the reception support device 1 and the face recognition server 3 may be implemented on one computer, or may be implemented on a plurality of computers. Further, the reception support device 1 and the face recognition server 3 may be virtual machines mounted on a computer.

The program for the reception support device 1 and the program for the face recognition server 3 can be stored on a computer-readable recording medium such as an HDD, SSD, USB (Universal Serial Bus) memory, CD (Compact Disc), or DVD (Digital Versatile Disc). It can be stored or delivered over a network.

Although the embodiments of the present invention have been described above, various modifications and modifications can be made to the embodiments of the present invention without departing from the gist of the present invention.

1: Reception support device 11: Imaging unit 12: Patient information acquisition unit 13: Measured value communication unit 14: Measured value acquisition unit 15: Measured value registration unit 16: Display unit 17: Output unit 2: Weight scale 3: Face recognition server 31: Face recognition unit 32: List generation unit 33: Data management unit 34: Patient information DB
35: Measured value table 36: Weight management table

Claims (8)

It is a reception support device that supports reception work at medical institutions.
An imaging unit that captures the patient's face image,
A patient information acquisition unit that transmits the face image to the face authentication server and acquires patient information corresponding to the face image from the face authentication server.
A display unit that displays the patient information and
A reception support device including a measurement value registration unit that registers a measurement value measured by a weight scale in association with the patient information in the face recognition server. A measurement value communication unit that adds a reception time at which the measured value is received and a weight scale ID that identifies the weight scale to the measured value transmitted from the weight scale and transmits the measured value to the face recognition server.
The display unit transmits a search request including the display time when the patient information is displayed and the weight scale ID to the face recognition server, and the weight scale is received from the face recognition server at a reception time after the display time. It is provided with a measurement value acquisition unit for acquiring a measurement value in which a weight scale ID matching the ID is set.
The reception support device according to claim 1, wherein the measured value registration unit registers the measured value acquired by the measured value acquisition unit in the face authentication server in association with the patient information. When the patient is a patient in a wheelchair, the measured value registration unit registers the measured value of the patient in a wheelchair and the measured value of the wheelchair in the face authentication server in association with the patient information.
The display unit is characterized in that it displays a measurement waiting list of a patient in which only one of the measured value of the patient in a wheelchair and the measured value of the wheelchair is registered in the face recognition server. The reception support device according to 1 or 2. The display unit determines whether each patient in the measurement waiting list is before or after dialysis treatment, which is determined based on the time when the measured value is registered in the face authentication server immediately before. The reception support device according to claim 3, wherein the device is displayed on a waiting list for measurement. Any one of claims 1 to 4, wherein the display unit displays the measured value, the tare data, and the body weight corrected for the measured value using the tare data, together with the patient information. The reception support device described in 1. A reception support system including the reception support device according to any one of claims 1 to 5 and a face recognition server.
The face recognition server is
A face recognition unit that analyzes a face image transmitted from the reception support device, authenticates a patient with the face image, and transmits patient information of the patient to the reception support device.
The reception support system includes a data management unit that registers the measured value received from the reception support device in association with the patient information. It is a reception support method performed by a reception support device that supports reception operations at medical institutions.
An imaging step that captures the patient's facial image,
A patient information acquisition step of transmitting the face image to the face authentication server and acquiring the patient information corresponding to the face image from the face authentication server, and
A display step for displaying the patient information and
A reception support method comprising performing a measurement value registration step of registering a measurement value measured by a weight scale in the face authentication server in association with the patient information. A reception support program characterized by operating a computer as the reception support device according to any one of claims 1 to 5.

Images