Emergency support system and emergency support method

Abstract

To appropriately support quick measures and responses in a medical institution to which a patient is transported.SOLUTION: An emergency support system includes an emergency transport system that supports emergency transport, and a medical institution system that is provided in a medical institution to which a patient is transported. The emergency transport system transmits patient information acquired from an ambulance squad, and a patient state check result including vital information acquired from the ambulance squad, to the medical institution system in the medical institution to which the patient is transported. The medical institution system outputs recommended response measures for the patient on the basis of the transmitted patient information and state check result.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] The embodiments disclosed in the present specification and drawings relate to an emergency assistance system and an emergency assistance method. [Background technology]

[0002] Conventionally, there has been known an emergency support system that centrally manages everything from emergency calls to transporting injured or sick people to hospitals, allows emergency personnel to input information such as vital signs, findings, and injured or sick person information by voice, and provides the input information to the medical institution at the transport destination. Here, the injured or sick person information is, for example, information such as age, sex, injury or illness status, and estimated injury or illness.

[0003] According to the inventor's study, such an emergency support system provides sufficient support to emergency personnel, but there is room for improvement in support for the medical institution at the destination. Specifically, for example, there is room for improvement in that simply providing information input by emergency personnel is insufficient to provide appropriate support for rapid measures and responses at the medical institution at the destination. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 6875734 Summary of the Invention

[0005] One of the problems that the embodiments disclosed in this specification and the drawings aim to solve is to appropriately support rapid measures and responses at the medical institution to which the patient is transported. However, the problems that the embodiments disclosed in this specification and the drawings aim to solve are not limited to the above problems. Problems corresponding to the effects of each configuration shown in the embodiments described below can also be positioned as other problems. [Means for solving the problem]

[0006] The emergency support system according to the present embodiment includes an emergency transport system that supports emergency transport and a medical institution system that is provided at a medical institution at the destination of the transport. The emergency transport system transmits patient information acquired from an emergency team and a patient condition check result including vital information acquired from the emergency team to the medical institution system at the destination of the transport. The medical institution system outputs a recommended response measure for the patient based on the transmitted patient information and condition check result. [Brief description of the drawings]

[0007] [Figure 1] FIG. 1 is a block diagram showing an example of an emergency support system and its peripheral configuration according to an embodiment. [Diagram 2] FIG. 2 is a block diagram showing an example of the configuration of the emergency terminal shown in FIG. [Diagram 3] FIG. 3 is a schematic diagram for explaining a first trained model according to an embodiment. [Figure 4] FIG. 4 is a block diagram showing an example of the configuration of the medical information processing apparatus shown in FIG. [Diagram 5] FIG. 5 is a schematic diagram for explaining a second trained model according to an embodiment. [Figure 6] FIG. 6 is a sequence diagram for explaining the operation in one embodiment. [Figure 7] FIG. 7 is a schematic diagram for explaining the display screen of the emergency terminal shown in FIG. [Figure 8] FIG. 8 is a schematic diagram for explaining the display screen of the emergency terminal shown in FIG. [Figure 9] FIG. 9 is a schematic diagram for explaining the display screen of the emergency terminal shown in FIG. [Figure 10] FIG. 10 is a schematic diagram for explaining the display screen of the emergency terminal shown in FIG. [Figure 11] FIG. 11 is a schematic diagram for explaining the display screen of the medical information processing apparatus shown in FIG. [Figure 12]FIG. 12 is a schematic diagram for explaining the display screen of the medical image processing apparatus shown in FIG. [Figure 13] FIG. 13 is a schematic diagram for explaining the display screen of the medical information processing apparatus shown in FIG. [Figure 14] FIG. 14 is a block diagram showing an example of an emergency support system and its peripheral configuration according to a modified example of an embodiment. [Figure 15] FIG. 15 is a schematic diagram for explaining a third trained model according to a modified example of an embodiment. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0008] Hereinafter, an emergency support system and an emergency support method according to an embodiment will be described with reference to the drawings. In the following, a hospital will be described as an example of a medical institution, but the present invention is not limited to this, and a clinic may be used as the medical institution.

[0009] FIG. 1 is a block diagram showing an example of an emergency support system and its peripheral configuration according to an embodiment. The emergency support system 1 includes an emergency transport system 30 that supports emergency transport, and a medical institution system 50 that is provided at a medical institution to which the patient is transported. The cloud system 31 of the emergency transport system 30, the regional medical cooperation system 40, the medical institution availability information database 41, the minor portal server 42, and the medical institution system 50 are connected via a network. The minor portal server 42 can communicate with the patient information server 43 via a secure network such as an information provision network. Meanwhile, the emergency terminal 20 and the electrocardiograph 26 can communicate with the emergency transport system 30. The emergency transport system 30 includes a cloud system 31 and an auxiliary input terminal 32. The medical institution system 50 includes a GW (gateway) device 51, a medical information processing device 60, a large screen monitor 70, an X-ray CT device 80, and an electronic medical record system 90. The acquisition function 311, the judgment function 312, the communication function 313, and the mail server function 314 realized by the cloud system 31 will be described later.

[0010] The emergency terminals 20 are a plurality of information terminals respectively carried by a plurality of emergency teams, and each of the plurality of emergency terminals 20 is capable of communicating with the emergency transport system 30.

[0011] The electrocardiograph 26 is an electrocardiogram measuring device possessed by each of the multiple emergency teams, and is capable of measuring the electrocardiogram waveform of a patient and transmitting electrocardiogram information relating to the obtained electrocardiogram waveform to the cloud system 31. Specifically, for example, the electrocardiograph 26 transmits an email to which a PDF file of the electrocardiogram information is attached to the cloud system 31. The electrocardiogram information includes, for example, the electrocardiogram waveform and an analysis result of the electrocardiogram waveform. The analysis result of the electrocardiogram waveform includes, for example, measurement values ​​such as the heart rate, PR interval, QRS width, QT / QTc, and PRT axis, and findings related to abnormalities.

[0012] The medical institution systems 50 are a plurality of in-hospital systems provided in a plurality of medical institutions, respectively, and each of the plurality of medical institution systems 50 is capable of communicating with the emergency transport system 30 and the regional medical cooperation system 40.

[0013] Fig. 2 is a block diagram showing an example of the configuration of the emergency terminal 20 shown in Fig. 1. The emergency terminal 20 includes a memory 21, an input interface 22, a display 23, a communication interface 24, and a processing circuit 25. The memory 21, the input interface 22, the display 23, the communication interface 24, and the processing circuit 25 are connected to each other so as to be able to communicate with each other via a bus, for example.

[0014] The memory 21 is, for example, a storage device such as a ROM, RAM, HDD, SSD, or integrated circuit storage device that stores various information. The memory 21 may also be a drive device that reads and writes various information from and to a portable storage medium such as a CD-ROM drive, a DVD drive, or a flash memory. The memory 21 does not necessarily have to be realized by a single storage device. For example, the memory 21 may be realized by multiple storage devices. The memory 21 may also be in another computer connected to the emergency terminal 20.

[0015] The memory 21 stores a program executed by the processing circuit 25, etc. The program may be stored in advance in the memory 21, for example. Alternatively, the program may be stored in a non-transitory storage medium and distributed, and may be read from the non-transitory storage medium and installed in the memory 21. The memory 21 also stores information such as patient information and vital sign information input from the input interface 22.

[0016] The input interface 22 receives various input operations from a user, converts the received input operations into electrical signals, and outputs the electrical signals to the processing circuit 25. The input interface 22 is physically or wirelessly connected to input devices such as a camera, an IC card reader, a microphone, a mouse, a keyboard, a trackball, a switch, a button, a joystick, a touchpad, and a touch panel in which an instruction is input by touching an operation surface. The camera is used to photograph a patient and obtain vital information and injury status. The IC card reader is used to obtain patient information from a patient information card carried by the patient. The microphone is used to input the results of observation and interview of the patient by voice. The input devices connected to the input interface 22 may be input devices provided in another computer connected via a network or the like.

[0017] The display 23 displays various information according to instructions from the processing circuit 25. The display 23 may be any suitable display, such as a CRT display, a liquid crystal display, an organic EL display, an LED display, or a plasma display.

[0018] The communication interface 24 performs data communication with external devices such as a cloud system 31.

[0019] The processing circuit 25 is a processor that functions as the core of the emergency terminal 20. The processing circuit 25 executes a program stored in the memory 21 or the like to realize a function corresponding to the program. For example, the processing circuit 25 has an acquisition function 251, a communication function 252, and a display control function 253. In this embodiment, the acquisition function 251, the display control function 253, and the communication function 252 are realized by a single processor, but this is not limited to this. For example, a processing circuit may be configured by combining multiple independent processors, and each processor may execute a program to realize the acquisition function 251, the communication function 252, and the display control function 253.

[0020] The acquisition function 251 is a function for acquiring patient information (such as name, sex, health insurance number, postal code / address, weight, height, blood type, infectious disease information, allergy information, drug contraindication information, disability information, medical history, medical examination history, drug prescription history, etc.) of the patient, vital information, electrocardiogram information, and observation / interview results in response to the operation of the ambulance staff. Specifically, for example, the acquisition function 251 stores in the memory 21 the patient information obtained directly from the patient using the keyboard, touch pad, or operation of touching the operation surface of the input interface 22. In addition, the acquisition function 251 performs authentication of, for example, My Number Portal using the IC card reader of the input interface 22, acquires patient information from the My Number Portal, and stores it in the memory 21. In addition, the acquisition function 251 acquires video data of the patient captured by the camera of the input interface 22 as vital information, and stores it in the memory 21. The acquisition function 251 may acquire vital data including the patient's respiratory rate or heart rate by analyzing video data of the patient, and store the vital information including the video data and the vital data in the memory 21. The acquisition function 251 also acquires the observation and interview results input by voice from the microphone of the input interface 22, and stores them in the memory 21. The observation and interview results are omitted if the patient is unconscious. Electrocardiogram information may also be transmitted from the electrocardiograph 26 to the cloud system 31 without going through the emergency terminal 20.

[0021] The acquisition function 251 may acquire vital data from a vital sign measuring device (not shown) used by an ambulance. The vital data may include respiration, blood pressure, pulse (heart rate), and body temperature.

[0022] The communication function 252 is a function for communicating using the communication interface 24, and transmits the patient information, vital sign information, and observation / questionnaire results in the memory 21 to the cloud system 31 of the emergency transport system 30 in response to the operation of the ambulance staff. The communication function 252 receives information such as the destination medical institution or candidates for the destination medical institution, triage results, etc. from the cloud system 31. In addition, the communication function 252 communicates with the medical information processing device 60 of the medical institution system 50 in a video format or chat format, etc., via the cloud system 31 in response to the operation of the ambulance staff.

[0023] The display control function 253 is a function that causes the display 23 to display desired information based on the data stored in the memory 21. Specifically, for example, the display control function 253 causes the display 23 to display a display screen including information received from the cloud system 31 or from the medical information processing device 60 via the cloud system 31.

[0024] Returning to Fig. 1, the emergency transport system 30 transmits the patient information acquired from the emergency terminal 20 of the emergency team, and the patient's condition confirmation result including the vital sign information acquired from the emergency terminal 20 and the electrocardiogram information acquired from the electrocardiograph 26, to the medical institution system 50 of the patient's transport destination. Note that the electrocardiogram information may be included in the vital sign information. In other words, the electrocardiogram information may be an example of the vital sign information acquired from the emergency team.

[0025] The cloud system 31 in the emergency transport system 30 is a cloud computing system in which predetermined functions, such as an acquisition function 311, a judgment function 312, a communication function 313, and a mail server function 314, are shared and realized by a plurality of devices via a network. The cloud system 31 may be implemented as a cloud server equipped with a memory, a communication interface, a processing circuit, and the like (not shown). The cloud server is a server constructed in a cloud environment, and realizes predetermined functions, such as the acquisition function 311, the judgment function 312, the communication function 313, and the mail server function 314, by the processing circuit executing a program in the memory. The cloud environment means an environment in which a user can access a server over a network such as the Internet.

[0026] The acquisition function 311 acquires vital information and observation and questioning results from the emergency terminal 20 of the ambulance team, converts the acquired patient information, vital information, and observation and questioning results into a common format set in advance, and stores them in the memory. The acquisition function 311 also acquires a PDF file of electrocardiogram information attached to an email received by the email server function 314 from the electrocardiograph 26, and stores it in the memory 21. The acquisition function 311 also acquires patient information from the My Number Portal Server 42 and stores it in the memory 21. The acquisition function 311 also acquires medical institution availability information from the medical institution availability information database 41 and stores it in the memory 21. Here, when the vital information is video data of a patient, the acquisition function 311 analyzes the video data to acquire vital data including the patient's respiratory rate or heart rate. Accordingly, the acquisition function 311 accumulates vital information including the video data and the vital data acquired from the video data in the memory. The acquisition function 311 is an example of an acquisition unit.

[0027] As shown in FIG. 3, the judgment function 312 executes the first trained model Md1 using the acquired patient information, vital sign information, electrocardiogram information, and observation and questioning results, the position information of the ambulance team, and the availability information of the medical institution as inputs, thereby outputting a triage result, a judgment result of candidates for the medical institution to which the patient is to be transported, and a condition check result including the patient's predicted disease. In this case, the patient's condition check result includes the patient's vital sign information, electrocardiogram information, the observation and questioning results, and the patient's predicted disease. For example, when the vital sign information is video data, the patient's predicted disease may be a disease predicted from the patient's appearance captured in the video data. In addition, when the electrocardiogram information includes findings related to abnormalities, the patient's predicted disease may include the findings. The position information of the ambulance team is available, for example, using the position information function of the emergency terminal 20. Note that the first trained model Md1 may output a judgment result of the medical institution to which the patient is to be transported, instead of the candidates for the medical institution to which the patient is to be transported. The determination result of the medical institution of the destination here means the one medical institution when there is one medical institution that is a candidate for the destination. The case where there is only one medical institution that is a candidate for the destination corresponds to the case where there is only one medical institution with a medical department that can handle emergency care in a specified area, or there is only one available medical institution among multiple medical institutions in a specified area. In addition, the input of electrocardiogram information, the position information of the ambulance team, and the input of the observation and interview results are optional additional items and may be omitted as appropriate. In addition, the determination function 312 transmits patient information, the patient's condition confirmation result, and the triage result to the medical information processing device 60 in the medical institution system 50 of the destination based on a transmission instruction from the emergency terminal 20. The determination function 312 is an example of a determination unit. The first trained model Md1 is an example of a trained model for transportation determination.

[0028] Here, the first trained model Md1 is generated by machine learning a model such as a multi-layer network based on training data, which is a set of input data and output data, according to a model learning program. The input data of the first trained model Md1 are patient information, vital information, electrocardiogram information, and observation and interview results, location information of the ambulance team, and availability information of medical institutions. The output data of the first trained model Md1 are triage results, medical institution candidates, and status confirmation results. As machine learning algorithms, neural networks, deep learning, ChatGPT (registered trademark), Random Forest, etc. are assumed, but other machine learning algorithms such as support vector machines and kernel regression may also be used. The first trained model Md1 can also be said to be a parameterized composite function in which multiple functions are combined. The parameterized composite function is defined by a combination of multiple adjustable functions and parameters. The first trained model Md1 may be any parameterized composite function that meets the above requirements. In addition, the first trained model Md1 is stored in, for example, a memory of a cloud server. The first trained model Md1 is read from the memory of the cloud server when the processing circuit of the cloud server executes processing. However, this is not limited to this, and the first trained model Md1 itself may be preset in the processing circuit of the cloud server, for example, as in ASIC or FPGA.

[0029] Returning to Figure 1, the communication function 313 functions as a Web conference system server for providing video-style communication between the emergency terminal 20 of the emergency team and the medical information processing device 60 of the medical institution system 50, or a chat server for providing chat-style conversational communication.

[0030] The mail server function 314 functions as a mail server for transmitting and receiving mail between the emergency terminal 20 and electrocardiograph 26 of the ambulance team and the medical information processing device 60 of the medical institution system 50 via the cloud system 31.

[0031] The auxiliary input terminal 32 is a terminal that inputs availability information of medical institutions to the judgment function 312 in response to the operation of the operator based on the patient information, vital sign information, electrocardiogram information, and observation / questioning results acquired by the acquisition function 311. Note that the auxiliary input terminal 32 may be omitted when the cloud system 31 accesses the medical institution availability information database 41 and acquires availability information of medical institutions from the medical institution availability information database 41.

[0032] The regional medical cooperation system 40 manages patient information for each regional medical institution by associating it with a cooperation ID, and upon receiving a request for patient information from the cloud system 31, transmits a response including the patient information to the requester. Note that the regional medical cooperation system 40 may be omitted in the case where the cloud system 31 accesses the minor portal server 42 and acquires patient information from the patient information server 43 via the minor portal server 42.

[0033] The medical institution availability information database 41 manages availability information of local medical institutions, and upon receiving a request for availability information of the medical institution from the cloud system 31, transmits a response including the availability information of the medical institution to the cloud system 31. Note that the medical institution availability information database 41 may be omitted when the auxiliary input terminal 32 inputs the availability information of the medical institution to the cloud system 31.

[0034] When the Mynaportal server 42 receives information in the My Number card of a patient from the cloud system 31, it authenticates the information, and if the authentication result is valid, it acquires the patient information of the patient and transmits it to the cloud system 31. The My Number card is an IC card that stores (1) the patient's name, address, date of birth, sex, face image, My Number, and (2) information such as an electronic certificate on an IC chip. The My Number card does not store medical information among the patient information including the patient identification information and medical information of the patient. The patient identification information here is the name, address, date of birth, and gender. There are two types of electronic certificates: a signature electronic certificate and a user electronic certificate. The signature electronic certificate is a public key certificate that describes four pieces of information, namely, name, address, date of birth, and gender, and allows the four pieces of information to be read and used. The user electronic certificate is a public key certificate used for identity authentication. As the electronic certificate of this embodiment, any type may be used, but the user electronic certificate is used. For example, when the My Number portal server 42 receives the electronic certificate in the My Number card of a patient from the cloud system 31, if the authentication result of the electronic certificate is valid, the My Number portal server 42 acquires the patient information of the patient from the patient information server 43 and transmits the patient information to the cloud system 31. In this case, the My Number portal server 42 transmits the electronic certificate to an ID management server that manages ID information associated with the electronic certificate, transmits a request including the ID information acquired from the ID management server to the patient information server 43, and acquires the patient information from the patient information server 43. Note that, without being limited to this, the My Number portal server 42 can be realized using existing technology related to My Number portals.

[0035] The patient information server 43 stores the patient information in association with ID information related to the patient's electronic certificate, and transmits the patient information associated with the ID information to the Mynaportal server 42 in response to a request including the ID information from the Mynaportal server 42. In addition, the patient information server 43 can be realized by using existing technology for providing information to the Mynaportal server.

[0036] The medical institution system 50 outputs recommended measures for the patient based on the patient information and condition confirmation results transmitted from the emergency transport system 30.

[0037] The GW device 51 in the medical institution system 50 is a device that connects the medical information processing device 60 connected to the network in the medical institution to a network outside the medical institution so that communication is possible between them. In the following, a description of the GW device 51 being used during communication between the medical information processing device 60 connected to the network in the medical institution and the network outside the medical institution will be omitted.

[0038] Fig. 4 is a block diagram showing an example of the configuration of the medical information processing device 60 shown in Fig. 1. The medical information processing device 60 has a memory 61, an input interface 62, a display 63, a communication interface 64, and a processing circuit 65. The memory 61, the input interface 62, the display 63, the communication interface 64, and the processing circuit 65 are connected to each other so as to be able to communicate with each other via a bus, for example.

[0039] The memory 61 is, for example, a storage device such as a ROM, RAM, HDD, SSD, or integrated circuit storage device that stores various information. The memory 61 may also be a drive device that reads and writes various information from and to a portable storage medium such as a CD-ROM drive, a DVD drive, or a flash memory. The memory 61 does not necessarily have to be realized by a single storage device. For example, the memory 61 may be realized by multiple storage devices. The memory 61 may also be in another computer connected to the medical information processing device 60.

[0040] The memory 61 stores a program executed by the processing circuit 65, a trained model, and the like. Each of the program and the trained model may be stored in advance in the memory 61, for example. Also, for example, each of the program and the trained model may be stored in a non-transient storage medium and distributed, and may be read from the non-transient storage medium and installed in the memory 61. The memory 61 also stores information such as patient information and condition check results transmitted from the cloud system 31. The memory 61 also stores information related to the patient's electronic medical record received from the electronic medical record system 90.

[0041] The input interface 62 receives various input operations from a user, converts the received input operations into electrical signals, and outputs the electrical signals to the processing circuit 65. The input interface 62 is connected to input devices such as a mouse, a keyboard, a trackball, a switch, a button, a joystick, a touchpad, a microphone, and a touch panel whose operation surface is touched to input instructions. The input devices connected to the input interface 62 may be input devices provided in another computer connected via a network or the like.

[0042] The display 63 displays various information such as an integrated screen in accordance with instructions from the processing circuit 65. The display 63 may be any suitable display such as a CRT display, a liquid crystal display, an organic EL display, an LED display, or a plasma display.

[0043] The communication interface 64 performs data communication with the cloud system 31. For example, the communication interface 64 performs data communication with the cloud system 31 in accordance with any standard using a dedicated line. The communication interface 64 also performs data communication with the emergency terminal 20 via the cloud system 31 in accordance with a known standard that is set in advance.

[0044] The processing circuit 65 is a processor that functions as the core of the medical information processing device 60. The processing circuit 65 executes a program stored in the memory 61 or the like to realize a function corresponding to the program. For example, the processing circuit 65 has an acquisition function 651, a communication function 652, a recommended measure generation function 653, and a display control function 654. In this embodiment, the acquisition function 651, the communication function 652, the recommended measure generation function 653, and the display control function 654 are realized by a single processor, but this is not limited to this. For example, a processing circuit may be configured by combining multiple independent processors, and the acquisition function 651, the communication function 652, the recommended measure generation function 653, and the display control function 654 may be realized by each processor executing a program.

[0045] The acquisition function 651 acquires information such as patient information and status check results from the cloud system 31 and stores the information in the memory 61. In addition, the acquisition function 651 acquires information related to the patient's electronic medical record from the electronic medical record system 90 based on the patient information and stores the information in the memory 61.

[0046] The communication function 652 performs communication such as video or chat conversation with the emergency terminal 20 via the cloud system 31 in response to the doctor's operation.

[0047] As shown in FIG. 5, the recommended action generating function 653 generates a recommended response action by executing the second trained model Md2 using at least patient information and a condition check result as input. The recommended action generating function 653 may also update the recommended response action by executing the second trained model Md2 using patient information, a condition check result, the patient's examination information, and vital data collected in real time from the patient as input. The input data of the second trained model Md2 is not limited to this, and may include medical images such as X-ray CT images and voice input contents (findings, reading instructions) by a doctor. The recommended action generating function 653 is an example of a generating unit.

[0048] Here, the second trained model Md2 is generated by machine learning a model such as a multi-layer network based on training data, which is a set of input data and output data, in accordance with a model learning program. The input data of the second trained model Md2 are patient information, condition check results, X-ray CT images, real-time vital information, examination information, and voice input contents (findings, reading instructions). The output data of the first trained model Md1 are recommended measures in medical institutions. As machine learning algorithms, neural networks, deep learning, ChatGPT (registered trademark), Random Forest, etc. are assumed, but other machine learning algorithms such as support vector machines and kernel regression may also be used. The second trained model Md2 can also be said to be a parameterized composite function in which multiple functions are combined. The parameterized composite function is defined by a combination of multiple adjustable functions and parameters. The second trained model Md2 may be any parameterized composite function that meets the above requirements. In addition, the second trained model Md2 is stored in, for example, the memory 61. When the processing circuit 65 executes processing, the second trained model Md2 is read out from the memory 61. Note that, without being limited to this, the second trained model Md2 itself may be preset in the processing circuit 65, for example, as in an ASIC or an FPGA.

[0049] The display control function 654 is a function that displays desired information on the display 63 and the large screen monitor 70 based on the data stored in the memory 61. For example, the display control function 654 displays a display screen including the generated recommended action on the display 63. For example, the display control function 654 may display a ranking of multiple recommended action measures obtained sequentially by updating the recommended action measures by the recommended action generation function 653 on the display 63. In addition, the display control function 654 displays a display screen including information received from the emergency terminal 20, the cloud system 31, or the electronic medical record system 90 on the display 63, in addition to the information generated by the processing circuit 65. For example, the display control function 654 displays a display screen including a screen used for a video or chat conversation with the emergency terminal 20 on the display 63. Real-time vital information, examination information, and X-ray CT images may also be displayed. In addition, the form of outputting the recommended action measures is not limited to display output, and may be audio output. The display control function 654 is an example of an output unit that outputs the recommended action measures.

[0050] The large screen monitor 70 is controlled by the medical information processing device 60 and displays a display screen that is at least larger than the display 63 of the medical information processing device 60 .

[0051] The X-ray CT device 80 is a medical imaging device that captures a CT image of a patient. The X-ray CT device 80 is capable of transmitting the captured CT image to the medical information processing device 60.

[0052] The electronic medical record system 90 is a device that stores information related to the electronic medical records of patients.

[0053] Next, the operation of the emergency support system 1 configured as above will be described with reference to Fig. 6 to Fig. 13. The following description will be divided into step ST10, which shows the operation when a patient is transported by ambulance, and step ST20, which shows the operation when the transported patient is in the hospital, as shown in Fig. 6. Step ST10 includes steps ST11A to ST19.

[0054] First, in step ST11A, the processing circuit 25 of the emergency terminal 20 acquires patient information in response to an operation of the input interface 22 by an emergency medical technician. For example, the emergency terminal 20 reads the My Number card C1 carried by the patient with an IC card reader (not shown) of the input interface 22, thereby authenticating the My Number portal and storing the patient information from the My Number portal in the memory 21. In this case, the emergency terminal 20 transmits the electronic certificate read from the My Number card C1 to the My Number portal server 42 via the cloud system 31, for example, as shown in step ST11A1 of FIG. 7. The My Number portal server 42 authenticates the electronic certificate, and when the authentication result is valid, requests the patient information from the patient information server 43 and transmits the obtained patient information to the emergency terminal 20 via the cloud system 31. The emergency terminal 20 stores the received patient information in the memory 21. However, the present invention is not limited to this, and the emergency terminal 20 may transmit patient identification information such as the patient's name, address, date of birth, and sex read from the My Number card C1 to the regional medical cooperation system 40 via the cloud system 31, as shown in step ST11A2 of FIG. 7. In this case, the regional medical cooperation system 40 transmits the patient information stored in association with the patient identification information to the emergency terminal 20 via the cloud system 31. The emergency terminal 20 stores the received patient information in the memory 21. Alternatively, the emergency terminal 20 may read the patient information from an IC card (not shown) storing the patient information instead of the My Number card C1 and store it in the memory 21. Alternatively, the patient information obtained directly from the patient may be stored in the memory 21. In any case, the processing circuit 25 then causes the display 23 to display the display screen 23a including the patient information in the memory 21. Patient information that can be used appropriately includes name, date of birth, sex, health insurance card number, postal code / address, weight, height, blood type, infectious disease information, allergy information, drug contraindication information, disability information, medical history, medical history, drug prescription history, etc. Among the patient information, the name, date of birth, sex, and address correspond to patient identification information that can be read from the My Number card C1.Information such as the health insurance card number, weight, height, blood type, infectious disease information, allergy information, drug contraindication information, disability information, medical history, medical history, drug prescription history, etc., corresponds to medical information that is not stored in the My Number card C1 among the patient information. The display screen 23a also includes a first button bt1 for executing an operation mode related to patient information, a second button bt2 for executing an operation mode related to medical interview, a third button bt3 for executing an operation mode related to vital information, and a fourth button bt4 for executing an operation mode related to determining the destination of transport.

[0055] Furthermore, the processing circuit 25 of the emergency terminal 20 stores text data representing the results of the observation and interview in the memory 21 in response to the operation of the second button bt2 and the voice input by the emergency personnel. If the patient is unconscious, the situation at the accident site and the like may be input by voice or manually as the results of the observation and interview.

[0056] In addition, the processing circuit 25 of the emergency terminal 20 stores video data of the patient as vital information in the memory 21 in response to the operation of the third button bt3 and the operation of the emergency personnel, as shown in Fig. 8. If the patient is unconscious, the situation at the accident site may be input by voice as the results of observation and questioning. In this way, the emergency terminal 20 acquires the patient information, vital information, and results of observation and questioning of the patient.

[0057] Next, in step ST11B, the emergency terminal 20 transmits the patient information, vital sign information, and observation / questionnaire results to the cloud system 31 in response to the operation of the emergency personnel. In parallel with steps ST11A and ST11B, the electrocardiograph 26 measures the patient's electrocardiogram waveform in response to the operation of the emergency personnel, and transmits an email to which electrocardiogram information relating to the electrocardiogram waveform is attached to the cloud system 31. Note that the transmission of the email to which the electrocardiogram information is attached does not need to be performed in parallel with steps ST11A and ST11B, so long as it is performed before step ST13. For example, the email to which the electrocardiogram information is attached may be transmitted between step ST12 and step ST13.

[0058] In step ST12, the auxiliary input terminal 32 transmits the availability information of the medical institution to the cloud system 31 in response to an operation by the operator.

[0059] In step ST13, the cloud system 31 performs triage and determines candidates for the transport destination based on the patient information, vital information, electrocardiogram information, observation and questioning results, location information of the ambulance team, and availability information of the medical institution. For example, the cloud system 31 executes the first trained model Md1 using the acquired patient information, vital information, electrocardiogram information, and observation and questioning results, location information of the ambulance team, and availability information of the medical institution as inputs, thereby outputting the triage result, the determination result of candidates for the transport destination medical institution, and the condition confirmation result including the predicted disease of the patient. As a result, the display screen 23a including the triage result and the predicted disease is displayed on the emergency terminal 20 in response to the operation of the ambulance staff, as shown in FIG. 9.

[0060] In step ST14, the emergency terminal 20 displays a display screen 23a including a list of candidates for medical institutions as a destination in response to the operation of the emergency personnel, a fifth button bt5 for notifying a transmission instruction to the selected destination, and link information of a telephone number for a video or chat conversation with the selected candidate, as shown in Fig. 10. In response to the operation of the fifth button bt5, the emergency terminal 20 transmits a transmission instruction to the medical institution as a destination to the cloud system 31.

[0061] In step ST15, the cloud system 31 transmits the patient information, the patient condition check result, and the triage result to the medical information processing device 60 in the medical institution system 50 of the destination based on the transmission instruction.

[0062] In step ST16, upon receiving the patient information, the patient condition confirmation result, and the triage result, the processing circuitry 65 of the medical information processing device 60 stores the patient information, the patient condition confirmation result, and the triage result in the memory 61. In addition, the processing circuitry 65 displays the patient information, the patient condition confirmation result, and the triage result in the memory 61 on the display 63.

[0063] In step ST17, the emergency terminal 20 executes communication with the cloud system 31 in response to the operation of the emergency personnel to have a video or chat conversation with the medical information processing device 60. As a result, a video or chat conversation is performed via the cloud system 31 between the emergency terminal 20 operated by the emergency personnel and the medical information processing device 60 operated by the doctor.

[0064] In step ST18, the processing circuitry 65 of the medical information processing device 60 generates a recommended response measure by executing the second trained model Md2 using at least the patient information and the condition check result as input in response to the doctor's operation.

[0065] In step ST19, the processing circuit 65 of the medical information processing device 60 displays a display screen including the generated recommended countermeasure on the display 63. The processing circuit 65 displays an integrated screen 63a, which integrates the first area a1, the second area a2, the third area a3, the fourth area a4, the fifth area a5, and the sixth area a6, as shown in FIG. 11, for example. The first area a1 includes patient information. The second area a2 includes triage results, predicted diseases, and observation and interview results. The third area a3 includes video data among vital information. The third area a3 may include electrocardiogram information instead of video data. The fourth area a4 includes vital data other than video data among vital information. The fifth area a5 includes recommended target measures. The sixth area a6 includes a record of conversation in video format or chat format. With the above, step ST10 including steps ST11 to ST19 is completed.

[0066] After step ST10 is completed, the patient is rushed to a medical institution, and step ST20, which shows the actions taken when the patient is in the hospital, is started. Step ST20 includes steps ST21 to ST26.

[0067] In step ST21, the doctor operates the X-ray CT device 80, which then performs CT imaging of the patient. Thereafter, the medical information processing device 60 receives the CT image of the patient from the X-ray CT device 80.

[0068] In step ST22, when the processing circuitry 65 of the medical information processing device 60 receives the CT image of the patient, the processing circuitry 65 executes the second trained model Md2 using the patient information, the condition check result, and the CT image as input to generate (update) the recommended response measures. When the doctor who checked the CT image inputs voice, the processing circuitry 65 updates the recommended response measures by including the voice input content in the input data and executing the second trained model Md2. In this case, it is preferable to use an interactive AI such as ChatGPT as the second trained model Md2. Similarly, in step ST22, the processing circuitry 65 executes the second trained model Md2 to generate (update) the recommended response measures every time it receives information that is to be input to the second trained model Md2.

[0069] In step ST23, the processing circuitry 65 of the medical image processing device 60 causes the display 63 to display an integrated screen 63a including the generated recommended countermeasure.

[0070] In step ST24, the processing circuitry 65 of the medical information processing device 60 displays an integrated screen similar to the integrated screen 63a in step ST23 on the large screen monitor 70. This allows the doctor to administer treatment to the patient while checking the recommended response measures on the large screen monitor 70.

[0071] In step ST25, vital data collected in real time from the patient is input to the medical information processing device 60. The processing circuit 65 of the medical information processing device 60 stores the vital data in the memory 61. In response to the doctor's operation, the processing circuit 65 causes the display 63 to display an integrated screen 63a in which a first area a1 including patient information and a fourth area a4 including time-series vital data are integrated, as shown in FIG. 12. In FIG. 12, the vital data includes, for example, systolic blood pressure a41, diastolic blood pressure a42, pulse a43, or any vital data to be displayed in real time. In FIG. 12, the test information of the blood test includes, for example, clac_a44, P / F ratio a45, or any test information to be displayed. The vertical axis of the graph in the fourth region is, for example, the value a411 of the systolic blood pressure a41, the value a421 of the diastolic blood pressure a42, the value a431 of the pulse a43, the value a441 of the clac_a44, and the value a451 of the P / F ratio a45. The vertical axis of the graph is time.

[0072] In step ST26, the processing circuitry 65 of the medical image processing device 60 determines whether to end the process depending on whether an end instruction has been input. If the process is not to be ended, the process returns to step ST22 and the processes of steps ST22 to ST26 are repeatedly executed.

[0073] In step ST22, which is being repeatedly executed, the processing circuit 65 updates the recommended response measures by executing the second learned model Md2 using patient information, condition confirmation results, the patient's test information, and vital data collected in real time from the patient as input.

[0074] In step ST23 during repeated execution, the processing circuit 65 displays a ranking of the multiple recommended measures obtained sequentially by updating on the display 63, as shown in the fifth area a5 of Fig. 13. Also, the processing circuit 65 notifies the user of the recommended measures by voice.

[0075] On the other hand, if an end instruction is input in step ST26, the processing circuit 65 ends the process.

[0076] As described above, according to one embodiment, the emergency support system 1 includes an emergency transport system 30 that supports emergency transport and a medical institution system 50 that is provided at a medical institution to which the patient is to be transported. The emergency transport system 30 transmits patient information acquired from the ambulance team and a patient status confirmation result including vital information acquired from the ambulance team to the medical institution system 50 to which the patient is to be transported. The medical institution system 50 outputs recommended measures for the patient based on the transmitted patient information and status confirmation result. Therefore, it is possible to appropriately support prompt measures and responses at the medical institution to which the patient is to be transported. To add, according to one embodiment, unlike the conventional triage technology that simply determines the destination of transport, the emergency transport system 30 is integrated with the medical institution system 50, and the medical institution system 50 can present recommended measures, making it possible to respond more smoothly at the scene of an emergency where every second counts.

[0077] Moreover, according to one embodiment, the medical information processing device 60 of the medical institution system 50 generates a recommended response action by executing the second trained model Md2 using at least the patient information and the condition check result as input. Furthermore, the medical information processing device 60 outputs the recommended response action. Therefore, in addition to the above-mentioned effects, the recommended response action can be obtained using the trained model.

[0078] Moreover, according to one embodiment, the medical information processing device 60 updates the recommended response measures by executing the second trained model Md2 using the patient information, the condition check result, the patient's examination information, and the vital data collected in real time from the patient as input. Therefore, in addition to the above-mentioned effects, the recommended response measures can be updated according to the real-time condition of the patient.

[0079] According to one embodiment, the medical information processing device 60 displays a number of recommended actions obtained sequentially by updating in a ranking manner on the display 63. As a result, for example, the recommended action before the update is displayed in a lower ranking, and the recommended action after the update is displayed in a higher ranking. Therefore, when the recommended action is deleted by updating, it is moved gradually downward on the screen by the ranking display and deleted, so that confusion caused by the recommended action being used being updated (deleted) without warning can be suppressed.

[0080] According to one embodiment, the cloud system 31 in the emergency transport system 30 executes the first trained model Md1 using patient information, vital sign information, and availability information of medical institutions as inputs, thereby outputting a determination result of the transport destination or a determination result of candidate transport destinations, and a condition check result including the patient's predicted illness. Therefore, in addition to the above-mentioned effects, it is possible to provide the emergency team with the determination result of the transport destination or the determination result of candidate transport destinations, and a condition check result including the patient's predicted illness.

[0081] According to one embodiment, the cloud system 31 in the emergency transport system 30 executes the first trained model Md1 using patient information, vital sign information, location information of the ambulance team, and availability information of medical institutions as inputs. Therefore, in addition to the above-mentioned effects, by further inputting location information of the ambulance team, it is possible to obtain a determination result of the transport destination or a determination result of a candidate transport destination taking into account the location of the ambulance team. This makes it possible to expect, for example, that a medical institution close to the location of the ambulance team is determined as the transport destination or a candidate, and that a medical institution far from the location of the ambulance team is excluded as the transport destination or a candidate.

[0082] According to one embodiment, the cloud system 31 further outputs the triage result of the patient by executing the first trained model Md1. Therefore, in addition to the above-mentioned effects, the triage result of the patient can be provided to the emergency team. To supplement, a triage AI that uses AI to determine triage for the new coronavirus is known in the past. There is no particular problem with the triage AI, but according to the study by the present inventor, the target is limited to patients infected with the new coronavirus, and judgment is not made taking into account other cases. In addition, since the triage AI requires a diagnosis result (medical data) by a doctor who has already been transported to a facility, it is difficult to quickly and appropriately identify the destination of transport. In contrast, the first trained model Md1 of one embodiment is not limited to patients infected with the new coronavirus, and can output a triage result while eliminating the need for a diagnosis result by a doctor.

[0083] According to one embodiment, the vital information may be video data of a patient. The cloud system 31 of the emergency transport system 30 may acquire vital data including the patient's respiratory rate or heart rate by analyzing the video data. In this case, in addition to the above-mentioned effects, the ambulance team can obtain the patient's vital data simply by taking a video of the patient. Also, by acquiring the vital data from the video data, it is possible to simplify the acquisition of the vital data.

[0084] According to one embodiment, the vital information may be vital data including a respiratory rate or a heart rate obtained by analyzing video data of a patient. In this case, in addition to the above-mentioned effects, the ambulance team analyzes the video data of the patient to obtain the vital data, so that the cloud system 31 can obtain the vital data of the patient from the ambulance team without performing video analysis.

[0085] (Variation 1) In one embodiment, the cloud system 31 does not generate the recommended response measures, but is not limited thereto. For example, as shown in FIG. 14, the cloud system 31 may also execute the recommended response measures generating function 315. At this time, the recommended response measures generating function 653 of the medical information processing device 60 is not omitted and is executed in the same manner as described above. Also, as shown in FIG. 15, the recommended response measures generating function 315 of the cloud system 31 generates recommended response measures within the scope that can be performed by the ambulance team by executing the third trained model Md3 with at least patient information and vital information as input. In the example of FIG. 15, the input data is patient information, vital information, electrocardiogram information, and observation and interview results, and is input to the third trained model Md3 in parallel with the first trained model Md1 described above. Also, the recommended response measures generating function 315 outputs the generated recommended response measures within the scope that can be performed by the ambulance team to the emergency terminal 20. The technology for realizing the third trained model Md3 is the same as that of the second trained model Md2 described above, except for the contents of the input data and output data. The recommended action generation function 315 is an example of a generation unit for an ambulance team and an output unit for an ambulance team. The third trained model Md3 is an example of a trained model for an ambulance team. According to such a first modification, in addition to the effect of one embodiment, the recommended response action can be output to the emergency terminal 20 to support the response action by the ambulance staff.

[0086] (Variation 2) In the embodiment and the modified example 1, the first trained model Md1, the second trained model Md2, and the third trained model Md3 are used, but the present invention is not limited to this. For example, the first trained model Md1, the second trained model Md2, and the third trained model Md3 may be replaced with a predetermined logic judgment. According to the modified example 2, in addition to the effect of the embodiment, the machine learning effort for constructing the trained model can be reduced.

[0087] According to at least one of the embodiments described above, it is possible to appropriately support rapid measures and responses at the medical institution to which the patient is transported.

[0088] The term "processor" used in the above description means a circuit such as a central processing unit (CPU), a graphics processing unit (GPU), an application specific integrated circuit (ASIC), a programmable logic device (e.g., a simple programmable logic device (SPLD), a complex programmable logic device (CPLD), and a field programmable gate array (FPGA)). The processor realizes a function by reading and executing a program stored in a memory. When the processor is, for example, a CPU, the processor realizes a function by reading and executing a program stored in a storage circuit. On the other hand, when the processor is, for example, an ASIC, instead of storing the program in a storage circuit, the function is directly incorporated as a logic circuit in the circuit of the processor. Note that each processor in this embodiment is not limited to being configured as a single circuit for each processor, and may be configured as a single processor by combining multiple independent circuits to realize its function. Furthermore, a plurality of components in any one of FIG. 1, FIG. 2, FIG. 4, and FIG. 14 may be integrated into one processor to realize the functions thereof.

[0089] Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope of the invention and its equivalents as described in the claims, as well as the scope and spirit of the invention. [Explanation of symbols]

[0090] 1 Emergency support system 20 Emergency terminal 21,61 Memory 22,62 Input Interface 23,63 Display 23a Display screen 24,64 Communication Interface 25,65 Processing circuit 30 Emergency Transport System 31 Cloud System 32 Auxiliary Input Terminal 40 Regional Medical Cooperation System 41 Medical institution vacancy information database 42 My Number Portal Server 43 Patient Information Server 50 Medical Institution System 60 Medical information processing device 63a Integrated Screen 70 Large screen monitor 80 X-ray CT device 90 Electronic Medical Record System 251,311,651 Acquisition Function 252,313,652 Communication Functions 253,654 Display control functions 312 Judgment function 314 Mail server function 315,653 Recommendation generation function C1 My Number Card Md1 First trained model Md2 Second trained model Md3 3rd trained model

Claims

1. An emergency support system including an emergency transport system that supports emergency transport and a medical institution system that is provided at a medical institution to which the patient is transported, The emergency transport system transmits the patient information acquired from the emergency team and the patient condition confirmation result including the vital sign information acquired from the emergency team to the medical institution system of the destination of the patient; The medical institution system outputs a recommended response measure for the patient based on the transmitted patient information and the condition confirmation result. Emergency support system.

2. The medical institution system includes: A generation unit that generates the recommended response measures by executing a trained model using at least the patient information and the condition confirmation result as input; an output unit for outputting the recommended countermeasure; The emergency support system according to claim 1 ,

3. The generation unit updates the recommended response action by executing a trained model using the patient information, the condition confirmation result, the patient's examination information, and vital data collected in real time from the patient as input. The emergency support system according to claim 2.

4. The output unit displays a ranking of the plurality of recommended measures obtained sequentially by the updating on a display. The emergency support system according to claim 3.

5. The emergency transport system includes: A determination unit that executes a trained model for transport determination using the patient information, the vital information, and availability information of medical institutions as inputs, and outputs a determination result of the transport destination or a determination result of a candidate transport destination, and a condition confirmation result including a predicted disease of the patient; The emergency support system according to claim 1 ,

6. The emergency transport system executes the trained model for transport determination using the patient information, the vital sign information, the location information of the ambulance team, and the availability information as inputs. The emergency support system according to claim 5.

7. The emergency support system according to claim 5 , wherein the judgment unit further outputs a triage result of the patient by executing the trained model for transportation judgment.

8. The vital information is video data of the patient, The emergency transport system includes: an acquisition unit that acquires vital data including a respiratory rate or a heart rate of the patient by analyzing the video data; The emergency support system according to any one of claims 1 to 7, comprising:

9. The vital information is vital data including a respiratory rate or a heart rate obtained by analyzing video data of the patient. The emergency support system according to any one of claims 1 to 7.

10. The emergency transport system includes: A generation unit for an ambulance that executes a trained model for an ambulance using at least the patient information and the vital information as input to generate recommended response measures within a range that can be implemented by the ambulance; an output unit for an ambulance that outputs recommended measures that can be implemented by the ambulance; The emergency support system according to any one of claims 1 to 7, comprising:

11. An emergency support method executed by an emergency transport system that supports emergency transport and a medical institution system provided at a medical institution to which the patient is transported, Transmitting patient information acquired from the ambulance team and a patient condition confirmation result including vital information acquired from the ambulance team to the medical institution system of the patient's destination by the ambulance transport system; outputting, by the medical institution system, a recommended response measure for the patient based on the transmitted patient information and the condition confirmation result; An emergency support method that includes the following:

12. obtaining, by the emergency transport system, electrocardiogram information relating to an electrocardiogram waveform measured from the patient from the emergency team prior to the transmitting; Further comprising: The condition confirmation result further includes electrocardiogram information obtained from the emergency team. The emergency support method according to claim 11.

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