WO2025141847A1 - 情報支援サーバ、及び情報支援方法 - Google Patents

情報支援サーバ、及び情報支援方法 Download PDF

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Publication number
WO2025141847A1
WO2025141847A1 PCT/JP2023/047210 JP2023047210W WO2025141847A1 WO 2025141847 A1 WO2025141847 A1 WO 2025141847A1 JP 2023047210 W JP2023047210 W JP 2023047210W WO 2025141847 A1 WO2025141847 A1 WO 2025141847A1
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Prior art keywords
information
medical
processing unit
unit
treatment
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PCT/JP2023/047210
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English (en)
French (fr)
Japanese (ja)
Inventor
康太 中西
正人 平井
慎太 工藤
眞智子 前田
貴行 二瓶
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Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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Priority to JP2025566143A priority Critical patent/JPWO2025141847A1/ja
Priority to PCT/JP2023/047210 priority patent/WO2025141847A1/ja
Publication of WO2025141847A1 publication Critical patent/WO2025141847A1/ja
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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices

Definitions

  • This disclosure relates to an information support server and an information support method.
  • Patent Document 1 There is known technology that records data obtained during medical procedures and uses it to create electronic medical records (see, for example, Patent Document 1).
  • This disclosure has been made to solve the above problems, and its purpose is to provide an information support server and information support method that can more effectively utilize data obtained during medical procedures.
  • one aspect of the present disclosure is an information support server that includes a calculation processing unit that calculates the time required for treatment of patients for each symptom based on medical treatment information indicating the content of medical treatment at a medical institution, and a prediction processing unit that, when there is an inquiry about the acceptability of emergency transport, predicts the time and number of patients that can be accepted at the medical institution for the emergency transport based on the calculation results calculated by the calculation processing unit, the status of medical personnel at the medical institution, and the symptoms of the patient involved in the emergency transport.
  • Another aspect of the present disclosure is an information support server that includes a compilation processing unit that compiles medical treatment information indicating the content of medical treatments at a medical institution, a prediction processing unit that predicts busy periods for the medical institution based on the compilation results compiled by the compilation processing unit, and a staffing generation unit that generates staffing of medical personnel that can handle the busy periods predicted by the prediction processing unit.
  • Another aspect of the present disclosure includes a compilation processing unit that compiles medical procedure information indicating the contents of medical procedures at a medical institution, and a labor management processing unit that executes labor management processing for medical personnel at the medical institution, the compilation processing unit compiles the contents of the medical procedure and the period required for the medical procedure for each medical personnel based on the medical procedure information, and generates statistical data regarding the work of the medical personnel, and the labor management processing unit is an information support server that executes the labor management processing based on the statistical data regarding the work of the medical personnel.
  • Another aspect of the present disclosure is an information support server that includes a prediction processing unit that predicts the optimal treatment for each symptom based on medical treatment information indicating the content of medical treatments performed in past medical institutions, and a proposal processing unit that proposes treatments that can be performed on new patients based on the prediction results by the prediction processing unit.
  • Another aspect of the present disclosure is an information support server that includes an external provision processing unit that performs a preset processing process on medical treatment information that indicates the content of medical treatment at a medical institution, and generates information to be provided to an external institution.
  • Another aspect of the present disclosure is an information support method in which a calculation processing unit calculates the time required for treatment of patients for each symptom based on medical procedure information indicating the content of the medical procedure at the medical institution, and a prediction processing unit predicts the time and number of patients that can be accepted for emergency transport at the medical institution when an inquiry is made about the acceptability of the emergency transport based on the calculation results calculated by the calculation processing unit, the status of medical personnel at the medical institution, and the symptoms of the patient involved in the emergency transport.
  • This disclosure allows for more effective use of data obtained during medical procedures.
  • FIG. 1 is a functional block diagram showing an example of a medical support system according to a first embodiment.
  • 5 is a diagram illustrating an example of data in a terminal information storage unit according to the first embodiment;
  • FIG. 5 is a diagram illustrating an example of data in a user information storage unit according to the first embodiment;
  • FIG. 5 is a diagram illustrating an example of data in a collected sound information storage unit in the first embodiment.
  • FIG. 5 is a diagram showing an example of data in a collected image information storage unit in the first embodiment;
  • FIG. 5A and 5B are diagrams illustrating an example of data in a record information storage unit according to the first embodiment;
  • 11A and 11B are diagrams illustrating an example of display of recorded information on the mobile terminal according to the first embodiment.
  • FIG. 11A and 11B are diagrams illustrating an example of setting a display position and type of biometric data in the first embodiment.
  • FIG. 2 is a diagram showing an example of a collection and recording process of record information in the medical support system according to the first embodiment.
  • FIG. 2 is a diagram illustrating an example of a support process of the medical support system according to the first embodiment.
  • 10 is a flowchart showing an example of an abnormality warning process of the medical support system according to the first embodiment;
  • FIG. 2 is a diagram showing an example of editing and processing processing of record information in the medical support system according to the first embodiment.
  • FIG. 13 is a diagram showing an example of an archive screen of recorded information of the medical support system according to the first embodiment.
  • FIG. 13 is a diagram showing an example of a summary text screen of record information of the medical support system according to the first embodiment.
  • 10 is a flowchart showing an example of a medical document generation process of the medical support system according to the first embodiment
  • FIG. 11 is a functional block diagram showing an example of a medical support system according to a second embodiment.
  • FIG. 11 is a diagram illustrating an example of the operation of the medical support system according to the second embodiment.
  • FIG. 11 is a diagram illustrating another example of the operation of the medical support system according to the second embodiment.
  • FIG. 13 is a functional block diagram showing an example of a medical support system according to a third embodiment.
  • 13 is a flowchart showing an example of a learning process of the medical support system according to the third embodiment.
  • the medical support system 1 is an example of a support system.
  • the medical support system 1 may also include a plurality of mobile terminals 10 , headset devices 20 , and external imaging devices 25 .
  • the input unit 12 is an input device such as a keyboard or a touch sensor of a touch screen, and accepts various information input by a user.
  • the user can input various setting information for using the medical support system 1 via the input unit 12, which is stored in the setting information storage unit 181 described below, for example.
  • the display unit 13 is, for example, a liquid crystal display, and displays (outputs) various information used by the mobile terminal 10.
  • the display unit 13 displays, for example, sound data (sound information) collected in conjunction with medical procedures and recorded information based on image data.
  • the speaker 15 is a built-in speaker of the mobile terminal 10, and outputs various sound data. For example, when a user instructs the speaker 15 to check the sound data corresponding to the timeline display of the recorded information described below, the speaker 15 outputs (emits) the sound data included in the recorded information (sound data corresponding to the original data). The speaker 15 also outputs (emits), for example, a warning sound from the information collection server 30, the sound results of various information searches, and various suggested sounds.
  • the wireless communication unit 17 is, for example, a Bluetooth (registered trademark) communication device, and performs data communication with the headset device 20.
  • the wireless communication unit 17 receives, for example, audio data and image data acquired by the headset device 20, and outputs the data to the terminal control unit 19.
  • the terminal storage unit 18 is a storage unit realized by a memory (not shown) included in the mobile terminal 10, and stores various types of information used by the mobile terminal 10.
  • the terminal storage unit 18 includes a setting information storage unit 181 .
  • the setting information storage unit 181 stores various setting information of the mobile terminal 10 for using the medical support system 1.
  • the setting information storage unit 181 stores, for example, setting information for hands-free operations that perform various operations without contact in the medical support system 1.
  • Setting information related to hands-free operations includes, for example, information about actions corresponding to various operations such as a start operation for starting the collection of sound data and image data, a stop operation for stopping the collection of sound data and image data, an operation for requesting an information search, an operation for requesting assistance, etc.
  • the hands-free operation includes, for example, operation by the user's voice, operation by the user's line of sight, motion operation using hands or fingers, and the like.
  • the setting information storage unit 181 also stores, for example, information on voice keywords corresponding to various operations as setting information related to voice operations.
  • the terminal control unit 19 is a functional unit that is realized, for example, by causing a processor (not shown) including a CPU (Central Processing Unit) to execute a program stored in the terminal storage unit 18.
  • the terminal control unit 19 comprehensively controls the mobile terminal 10 and executes various processes.
  • the terminal control unit 19 includes a collection processing unit 191 , an output control unit 192 , and a setting processing unit 193 .
  • the collection processing unit 191, the output control unit 192, and the setting processing unit 193 are realized by causing a processor (not shown) to execute, for example, an application program for using the medical support system 1.
  • the collection processing unit 191 collects sound data (sound information) and image data (image information) associated with a medical procedure by a user.
  • the sound data includes, for example, voice data uttered by the user (medical worker)
  • the image data includes still image data or video data captured by the user using the headset device 20 described below, and still image data or video data captured by the external imaging device 25.
  • the collection processing unit 191 starts collecting sound data or image data when, for example, a start operation for starting the collection of sound data or image data is detected by a hands-free operation of a medical professional.
  • the collection processing unit 191 starts collecting sound data or image data when, for example, sound data acquired from the microphone 14 or headset device 20 is converted into text by the voice recognition processing unit 331 of the information collection server 30 described later, a keyword is extracted by the recording processing unit 333, and the extracted keyword matches a keyword corresponding to the start operation stored in the setting information storage unit 181.
  • the collection processing unit 191 starts collecting sound data or image data when, for example, image data acquired from the imaging unit 16, the headset device 20, or the external imaging device 25 is analyzed by the image recognition processing unit 332 of the information collection server 30 described later, a specific action of the user is detected, and the action matches the action corresponding to the start operation stored in the setting information storage unit 181.
  • the collection processing unit 191 transmits the collected sound data or image data to the information collection server 30 via the NW communication unit 11.
  • the sound data transmitted to the information collection server 30 is associated with date and time information and stored in the collected sound information storage unit 324 described below.
  • the image data transmitted to the information collection server 30 is associated with date and time information and stored in the collected image information storage unit 325 described below.
  • the collection processing unit 191 also ends the collection of sound data or image data when a termination operation for terminating the collection of sound data or image data is detected by a hands-free operation. For example, the collection processing unit 191 ends the collection of sound data or image data when sound data acquired from the microphone 14 or headset device 20 is converted into text by a voice recognition processing unit 331 of the information collection server 30 described later, a keyword is extracted, and the extracted keyword matches a keyword corresponding to the termination operation stored in the setting information storage unit 181.
  • the collection processing unit 191 ends the collection of sound data or image data when image data acquired from the imaging unit 16, headset device 20, or external imaging device 25 is analyzed by an image recognition processing unit 332 of the information collection server 30 described later, a specific action of the user is extracted, and the action matches the action corresponding to the termination operation stored in the setting information storage unit 181.
  • the collection processing unit 191 detects, in addition to data collection, an operation to request an information search, an operation to request assistance, or the like, by a hands-free operation, the collection processing unit 191 transmits a processing request corresponding to the detected request operation to the information collection server 30 via the NW communication unit 11.
  • the output control unit 192 controls the operation of the display unit 13 and causes the display unit 13 to display various information. Specifically, the output control unit 192 causes the display unit 13 to display a timeline display in which keywords and image information are arranged in chronological order based on the recording information stored in the recording information storage unit 327 of the information collection server 30 described later. The output control unit 192 causes the display unit 13 to display date and time information (e.g., time information) associated with keywords and image data based on the recording information, for example.
  • the keyword is a keyword extracted from sound data or image data. Details of the keyword and the display contents of the output control unit 192 will be described later.
  • the output control unit 192 also controls the operation of the speaker 15 and causes the speaker 15 to output (emit) various information.
  • the output control unit 192 causes the speaker 15 to output (emit) sound data included in the recording information.
  • the output control unit 192 outputs (emits) from the speaker 15, for example, warning sounds from the information collection server 30, sounds representing the results of various information searches, and various suggested sounds.
  • the setting processing unit 194 executes various setting processes and various setting change processes for using the medical support system 1 in response to, for example, user operation input via the input unit 12.
  • the setting processing unit 194 acquires various setting information via the input unit 12 and stores it in the setting information storage unit 181.
  • the setting information is, for example, setting information for hands-free operation that performs various operations in a non-contact manner in the medical support system 1.
  • the headset device 20 is, for example, a device that is worn on the head of a medical professional, and mainly transmits the medical professional's voice data and image data capturing an object that the medical professional is looking at to the mobile terminal 10 via wireless communication.
  • the headset device 20 includes a wireless communication unit 21 , a microphone 22 , and an imaging unit 23 .
  • the wireless communication unit 21 is, for example, a Bluetooth (registered trademark) communication device, and performs data communication via wireless communication with the wireless communication unit 17 of the mobile terminal 10 described above.
  • the wireless communication unit 21 transmits, for example, audio data and image data to the mobile terminal 10 via wireless communication.
  • the microphone 22 mainly collects sounds made by medical personnel during medical procedures and generates sound data.
  • the microphone 22 is an example of a sound collection unit, and the sound data generated by the microphone 22 is transmitted to the mobile terminal 10 via the wireless communication unit 21.
  • the imaging unit 23 is, for example, a camera device that captures still and video images, and, for example, captures an image including an object that a medical professional is looking at during a medical procedure, and generates image data.
  • the image data generated by the imaging unit 23 is transmitted to the mobile terminal 10 via the wireless communication unit 21.
  • the external imaging device 25 is installed in a medical site (treatment room, operating room, ambulance, etc.) and captures images of the situation at the medical site.
  • the external imaging device 25 is placed in front of medical equipment such as a measuring device or a medication device, and captures images of the screen of the measuring device, images showing the medication status, etc. during medical procedures, and generates (collects) various image data.
  • the external imaging device 25 is a fixed camera that is placed in a location such as a ceiling where it can overlook the medical site (particularly, a treatment table, an operating table, or inside an ambulance), and captures images of the medical staff and the patient (including the affected area) during medical procedures.
  • the external imaging device 25 is an example of an imaging unit.
  • the image data generated (collected) by the external imaging device 25 is transmitted to the mobile terminal 10 via the network NW1.
  • the management terminal 40 is a terminal device for managing the medical support system 1, and is, for example, a personal computer, a smartphone, a tablet terminal, etc.
  • the management terminal 40 checks, edits, and processes record information recorded during medical procedures, and controls the creation of medical documents such as electronic medical records, medical receipts (medical fee statements), and prescriptions.
  • the management terminal 40 includes a network communication unit 41 , an input unit 42 , a display unit 43 , a terminal storage unit 44 , and a terminal control unit 45 .
  • the NW communication unit 41 is a communication device that can be connected to the network NW1 by, for example, a wireless LAN or a wired LAN.
  • the NW communication unit 41 performs data communication with, for example, the information collecting server 30 via the network NW1.
  • the NW communication unit 41 transmits, for example, various control information (various processing requests) for managing the medical support system 1 to the information collecting server 30.
  • the NW communication unit 41 receives, for example, various display information based on the recorded information from the information collecting server 30 .
  • the input unit 42 is an input device such as a keyboard, a touch sensor of a touch screen, a mouse, etc., and accepts various information input by operation of a user or administrator of the medical support system 1. For example, the input unit 42 accepts a request from a user to edit record information, and a request from a user to create medical documents.
  • the display unit 43 is, for example, a liquid crystal display, and displays (outputs) various information used by the management terminal 40.
  • the display unit 43 displays, for example, recording information, search information for recording information, editing information, archive information, etc.
  • the terminal storage unit 44 is a storage unit realized by a memory (not shown) provided in the management terminal 40 , and stores various information used by the management terminal 40 .
  • the terminal control unit 45 is a functional unit realized by, for example, causing a processor (not shown) including a CPU to execute a program stored in the terminal storage unit 44.
  • the terminal control unit 45 comprehensively controls the management terminal 40 and executes various processes.
  • the terminal control unit 45 includes a display control unit 451.
  • FIG. 4 indicates that sound data with a data ID of "DT00001" was acquired by a mobile terminal 10 with a terminal ID of "MT001" at date and time information "20XX/11/01 10:15" (10:15 on November 1, 20XX). It also indicates that the sound data is stored as sound information "SXXX1.”
  • the recording processing unit 333 and the output control unit 192 may use the machine learning results (i.e., the image recognition model stored in the learning result memory unit 323) via the image recognition processing unit 332 to automatically suggest, for example, the extent of the burn area, the depth of each burn area, the burn area to which annotations should be added, etc. Furthermore, from the viewpoint of privacy, the recording processing unit 333 and the output control unit 192 may mask the face of the patient in the image to be output.
  • the recording processing unit 333 when it is detected that the button BT1 has been pressed by the user, the recording processing unit 333 outputs the sound data (audio data) corresponding to the original data among the sound data stored in the collected sound information storage unit 324 to the speaker 15 of the mobile terminal 10 via the output control unit 192.
  • the image data PH2 is an image of the display screen of a medical device captured by the external imaging device 25 (an example of an imaging section).
  • the image recognition processing section 332 can extract text data indicating the patient's biometric data from the image data PH2 of the display screen of such a medical device.
  • the image recognition processing section 332 associates the display position and type (pulse, blood pressure, etc.) of the biometric data on the screen of each medical device with each medical device, and extracts text data (keywords), such as pulse, blood pressure, etc., from the image data PH2 based on this information (details will be described later with reference to FIG. 8).
  • the extracted text data is associated with the original image data PH2 by the recording processing section 333 and recorded as record information, and is displayed together with the original image data PH2 in the timeline display as shown in FIG. 7.
  • the recording processing unit 333 detects an abnormality from the recorded information, it outputs a warning from the display unit 13 or speaker 15 of the mobile terminal 10 via the output control unit 192.
  • a rule for detecting an abnormality may be set in advance based on an expected pattern of abnormalities, and the recording processing unit 333 detects the abnormality according to the rule.
  • the recording processing unit 333 refers to the recorded information and determines whether the contents of the text data indicating the voice drug order of the medical staff extracted from the sound data and the text data indicating the type or amount/flow rate of the drug actually used extracted from the screen data of the medication device match.
  • the recording processing unit 333 outputs a warning from the display unit 13 or speaker 15 of the mobile terminal 10 via the output control unit 192.
  • the record processing unit 333 may also refer to the record information and determine whether the remaining amount of medicine, such as an intravenous drip, is appropriate for the instructions given by the medical professional based on text data indicating the remaining amount of medicine, such as an intravenous drip, extracted from the image data, and output a warning from the display unit 13 or speaker 15 of the mobile terminal 10 via the output control unit 192 if the remaining amount is determined to be inappropriate.
  • the warning does not have to be output from the display unit 13 or speaker 15 of the mobile terminal 10, and may be issued in the form of a display or voice from another device installed in the medical field (treatment room, operating room, etc.).
  • the record processing unit 333 may also detect an abnormality and issue a warning using the results of machine learning, i.e., an abnormality detection model of the medical professional's treatment and medication stored in the learning result storage unit 323.
  • the recording processing unit 333 may also be configured to automatically cause the collection processing unit 191 to start audio and image recording if there is a sudden change in the patient's biometric data, such as heart rate and blood pressure. Specifically, the recording processing unit 333 can determine whether there is a sudden change in the patient's biometric data, such as heart rate and blood pressure, that exceeds a predetermined reference value, based on text data indicating the patient's biometric data extracted from the screen data of the measurement device, and can cause the collection processing unit 191 to start audio and image recording based on the result.
  • biometric data such as heart rate and blood pressure
  • FIG. 8 is a diagram showing an example of setting the display position and type of biometric data in this embodiment. 8, it is assumed that the numeric data DT1 second from the left on the top line is preset to be "pulse rate,” and the numeric data DT2 on the middle line is preset to be “blood pressure.” With such settings made, the image recognition processing unit 332 extracts text data indicating the values of the heart rate and blood pressure from the image data collected by the collection processing unit 191.
  • the support processing unit 334 executes various support processes.
  • the support processing unit 334 detects a support request from a user regarding a medical procedure, it executes support processing according to the support request and outputs the support processing results to the user.
  • support requests include searching for information regarding a medical procedure, suggestions regarding a medical procedure, and requests for help from other users.
  • the support processing unit 334 when the support processing unit 334 receives a request from the mobile device 10 to search for information on a medical procedure by a user, it searches for information such as terms, treatment, medication, and procedures, transmits the search results to the mobile device 10, and outputs them as support processing results from the display unit 13 or speaker 15 via the output control unit 192.
  • the support processing unit 334 when the support processing unit 334 receives a request for a proposal regarding a medical procedure from a user from the mobile terminal 10, the support processing unit 334 generates a proposal regarding a medical procedure based on past record information, transmits the generated proposal regarding a medical procedure to the mobile terminal 10, and causes it to be output from the display unit 13 or the speaker 15 via the output control unit 192 as a support processing result.
  • the proposal regarding a medical procedure is a proposal regarding the optimal treatment (treatment, medication, etc.) for the patient.
  • the support processing unit 334 searches past record information, extracts record information that is highly similar to the current record information, and proposes a treatment method, the type and dosage of medication to be administered, etc. based on the record information that is highly similar.
  • the support processing unit 334 may make proposals regarding treatment, medication, etc. using machine learning results by the learning processing unit 337 (i.e., a proposed model regarding a medical procedure stored in the learning result storage unit 323).
  • the support processing unit 334 when it receives a rescue request from a user to another user from the mobile terminal 10, for example, it may check the status of the user stored in the user information storage unit 322, extract users who can respond to the rescue request, and arrange for rescue (specifically, a call to a treatment room or a request for advice remotely) for the available user (such as a doctor).
  • rescue specifically, a call to a treatment room or a request for advice remotely
  • the support processing unit 334 may send information related to a timeline display of recorded information to the available user (such as a doctor) to share information about the patient and the contents of the medical procedures performed up to that point.
  • the assistance request from the user does not have to be input from the mobile device 10, but may be input from another device.
  • the method for inputting the assistance request from the user is not limited, and for example, voice input, text input, gesture input, etc. may be used.
  • the result of the assistance processing by the assistance processing unit 334 does not have to be output to the mobile device 10, but may be output to the user via another terminal.
  • the editing processing unit 335 executes editing processes such as browsing, searching, editing, and processing the record information stored in the record information storage unit 327. Specifically, the editing processing unit 335 edits the record information stored in the record information storage unit 327, and outputs the edited record information to the user. For example, the editing processing unit 335 displays the record information in a timeline display on the display unit 43 of the management terminal 40 (terminal device) via the display control unit 451. The user can perform editing operations such as correcting keywords while referring to the display screen.
  • the editing processing unit 335 may allow the user (or administrator) to select keywords to be used in the medical document (or keywords not to be used) via the management terminal 40, and reflect these in the medical document created by the medical document generation unit 336 described below.
  • the editing processing unit 335 may integrate the information by prioritizing, for example, information collected by the doctor's mobile terminal 10 over information collected by the nurse's mobile terminal 10.
  • the editing processing unit 335 may also generate a summary of the medical procedure using the record information stored in the record information storage unit 327, and display the summary on the display unit 43 of the management terminal 40 via the display control unit 451, for example.
  • the editing processing unit 335 may also generate a list (archive information) including, for example, the date, doctor in charge, nurse in charge, and symptoms from the record information stored in the record information storage unit 327, and display the list on the display unit 43 of the management terminal 40 via the display control unit 451.
  • the generation of the summary and archive information may be performed automatically by the editing processing unit 335, or may be performed by instruction input from the user. When the generation of the summary and archive information is performed automatically, various generation AI tools may be utilized.
  • the user may specify the content to be reflected in the summary and archive information from the record information, and the format thereof.
  • the editing processing unit 335 may extract only the information that is deemed necessary from the record information and output it in any format by instruction input from the user.
  • the editing processing unit 335 may provide a search function that allows the user to search for desired information from among the recorded information, and the user may use the search function to search for and specify the desired information to be output from among the recorded information.
  • the user may be able to specify the period of the recorded information to be searched (today, the past year, etc.).
  • the terminal from which the editing request is input and the terminal from which the results of the editing process are output are not limited to the management terminal 40, and may be other terminals.
  • the medical document generation unit 336 generates a medical document in a preset format based on the record information stored in the record information storage unit 327, automatically in response to a request from a user or in accordance with a preset instruction.
  • the method by which the user inputs a request for medical document generation is not limited, and for example, the request may be input via the mobile terminal 10 or from another terminal.
  • the medical document to be automatically generated may be appropriately set by the user or the administrator of the medical support system 1.
  • the medical document generation unit 336 generates a medical document from the record information based on the medical document format stored in the format storage unit 328.
  • the medical document generation unit 336 generates a medical document by referring to the medical document format and writing the corresponding content contained in the record information into each blank item. For example, a numerical value indicating blood pressure in the record information is automatically transcribed into the place in the medical document where the numerical value of blood pressure is to be input.
  • the medical document includes, for example, an electronic medical record, a receipt (medical fee statement), a prescription, an emergency team activity report, etc.
  • various AI generation tools may be used to generate medical documents.
  • the medical document generation unit 336 also stores the generated medical documents in the medical document storage unit 329 and transmits them to the hospital management server 50 via the NW communication unit 31.
  • the hospital management server 50 manages electronic medical records, medical receipts (medical fee statements), and prescriptions, and outputs medical receipts (medical fee statements) and prescriptions to patients.
  • the learning processing unit 337 executes various types of machine learning processing. Specifically, the learning processing unit 337 performs machine learning using past record information as training data to generate a voice recognition model, an image recognition model, an anomaly detection model for medical treatment and medication by medical professionals, and a proposed model related to medical procedures. The learning processing unit 337 stores various models that are the results of the learning processing in the learning result storage unit 323. Note that not only record information but also various types of information related to past medical procedures may be used as training data for machine learning.
  • FIG. 9 is a diagram showing an example of the collection and recording process of record information in the medical support system 1 according to this embodiment.
  • the mobile terminal 10 of the medical support system 1 first detects sounds and images (step S101).
  • the collection processing unit 191 of the mobile terminal 10 collects sound data and image data from the mobile terminal 10, the headset device 20, and the external imaging device 25.
  • the collection processing unit 191 transmits the sound data and image data to the information collection server 30 (step S102).
  • the collection processing unit 191 transmits the sound data and image data via the NW communication unit 11 and requests voice recognition processing and image recognition processing.
  • the information collecting server 30 executes voice recognition processing and image recognition processing (step S103).
  • the voice recognition processing unit 331 of the information collecting server 30 converts the received sound data (audio data) into text data.
  • the image recognition processing unit 332 of the information collecting server 30 extracts hands-free operations contained in the received image data.
  • the information collecting server 30 transmits the recognition information, which is the result of the voice recognition process and the image recognition process, to the mobile terminal 10 (step S104).
  • the server control unit 33 of the information collecting server 30 transmits the recognition information (text data, hands-free operation, etc.) to the mobile terminal 10 via the NW communication unit 31.
  • the collection processing unit 191 determines whether recording has started (step S105). Based on the setting information in the setting information storage unit 181, the collection processing unit 191 determines whether the received recognition information (text data, hands-free operation, etc.) is a start operation, and if it is a start operation (step S105: YES), the collection processing unit 191 proceeds to step S106. If it is not a start operation (step S105: NO), the collection processing unit 191 returns the process to step S101.
  • the received recognition information text data, hands-free operation, etc.
  • step S106 the collection processing unit 191 starts the collection process, and transmits, for example, the collected information (raw data) and date and time information acquired from the mobile terminal 10, the headset device 20, and the external image capture device 25 to the information collection server 30.
  • the collected information is, for example, sound data and image data.
  • the recording processing unit 333 of the information collecting server 30 saves the collected information (step S107).
  • the recording processing unit 333 associates the sound data with the date and time information and stores it in the collected sound information storage unit 324 (see, for example, FIG. 4), and also associates the image data with the date and time information and stores it in the collected image information storage unit 325 (see, for example, FIG. 5).
  • the recording processing unit 333 extracts keywords from the collected information (step S108). For example, the recording processing unit 333 extracts keywords contained in the sound data by checking whether the text data converted from the sound data by the voice recognition processing unit 331 contains any preset keywords stored in the keyword information storage unit 326.
  • the recording processing unit 333 determines whether or not a keyword is present (whether or not it has been extracted) (step S109). If a keyword is present (step S109: YES), the recording processing unit 333 advances the process to step S110. If a keyword is not present (step S109: NO), the recording processing unit 333 advances the process to step S113.
  • the recording processing unit 333 records the medical procedure information based on the keyword as record information. Specifically, using the information stored in the collected sound information storage unit 324 and the collected image information storage unit 325 in step S107, the recording processing unit 333 stores, as record information, in the record information storage unit 327, information associating the keyword extracted in step S109 with the date and time information when the keyword was uttered, and information associating the image data collected by the collection processing unit 191 with the date and time information when the image data was acquired.
  • the recording processing unit 333 stores the record information in the record information storage unit 327, for example, in a format as shown in FIG. 6.
  • the recording processing unit 333 transmits the recording information to the mobile terminal 10 (step S111).
  • the recording processing unit 333 transmits the recording information stored in the recording information storage unit 327 to a terminal that outputs the recording information, such as the mobile terminal 10.
  • the recording processing unit 333 may generate timeline display information based on the recording information and transmit the timeline display information to a terminal, such as the mobile terminal 10.
  • the output control unit 192 of the mobile terminal 10 displays the recorded information in a timeline (step S112).
  • the output control unit 192 causes the display unit 13 of the mobile terminal 10 to display a timeline display based on the recorded information, as shown in FIG. 7.
  • step S113 the recording processing unit 333 determines whether recording has ended. Using the voice recognition processing unit 331 and the image recognition processing unit 332, the recording processing unit 333 determines whether an end operation by hands-free operation has been detected. If an end operation has been detected and recording has ended (step S113: YES), the recording processing unit 333 advances the process to step S114. If an end operation has not been detected and recording has not ended (step S113: NO), the recording processing unit 333 returns the process to step S107.
  • step S114 the recording processing unit 333 sends an end notification to the mobile terminal 10.
  • the collection processing unit 191 determines whether recording has ended (step S115).
  • the collection processing unit 191 determines whether recording has ended (collection has ended) by, for example, receiving an end notification. If recording has ended (step S115: YES), the collection processing unit 191 returns the process to step S101. If recording has not ended (step S115: NO), the collection processing unit 191 returns the process to step S106.
  • the recording processing unit 333 may create recording information that further includes text data extracted from the image data by the image recognition processing unit 332.
  • FIG. 10 is a diagram showing an example of the support process of the medical support system 1 according to this embodiment.
  • FIG. 10 is a diagram showing an example of the support process of the medical support system 1 according to this embodiment.
  • a user makes a support request by voice.
  • the mobile terminal 10 transmits sound data to the information collection server 30 (step S201).
  • the terminal control unit 19 of the mobile terminal 10 acquires sound data detected by, for example, the microphone 14 of the mobile terminal 10 and the microphone 22 of the headset device 20, and transmits the data to the information collection server 30 via the NW communication unit 11.
  • the voice recognition processing unit 331 of the information collecting server 30 executes voice recognition processing (step S202).
  • the voice recognition processing unit 331 converts the sound data into text data.
  • the support processing unit 334 determines whether or not there is a support request (step S203).
  • the support processing unit 334 determines whether or not there is a support request, such as an information search, in the text data converted from the sound data. If there is a support request (step S203: YES), the support processing unit 334 proceeds to step S204. If there is no support request (step S203: NO), the support processing unit 334 returns the process to step S202.
  • step S204 the support processing unit 334 executes processing in response to the support request.
  • Processing in response to the support request includes, for example, searching for information on medical procedures, making suggestions regarding medical procedures, requesting assistance from other users, etc.
  • the support processing unit 334 transmits the support processing result to the mobile device 10 (step S205).
  • the output control unit 192 of the mobile terminal 10 displays the support processing result on the display unit 13 or outputs it as voice (step S206).
  • the output control unit 192 performs voice synthesis processing on the support processing result and outputs it as voice from the speaker 15.
  • the support request by the user does not have to be input from the mobile terminal 10, but may be input from another terminal.
  • the method of inputting the support request by the user is not limited, and for example, voice input, character input, gesture input, etc. may be used.
  • the result of the support processing by the support processing unit 334 does not have to be output to the mobile terminal 10, but may be output to the user via another terminal.
  • FIG. 11 is a flowchart showing an example of an abnormality warning process of the medical support system 1 according to this embodiment.
  • a warning is issued via the mobile terminal 10
  • the warning does not have to be output from the display unit 13 or speaker 15 of the mobile terminal 10, and may be issued in the form of a display, a sound, or the like from another device installed in the medical site (treatment room, operating room, etc.).
  • the record processing unit 333 of the medical support system 1 acquires medical treatment information (step S211).
  • the record processing unit 333 acquires, for example, medical treatment information (e.g., the contents of the medical treatment) from the record information stored in the record information storage unit 327.
  • the recording processing unit 333 detects an abnormality in the medical procedure information (step S212).
  • the recording processing unit 333 refers to the medical procedure information and detects an abnormality according to a preset rule for detecting an abnormality (for example, whether the contents of text data indicating a drug order by voice of a medical professional extracted from sound data and text data indicating the type, amount, and flow rate of the drug actually used extracted from the screen data of the medication device match).
  • the recording processing unit 333 may detect an abnormality in the medical procedure information using an abnormality detection model that is a learning result stored in the learning result storage unit 323.
  • the recording processing unit 333 determines whether or not an abnormality has been detected (step S213). If an abnormality has been detected (step S213: YES), the recording processing unit 333 advances the process to step S214. If an abnormality has not been detected (step S213: NO), the recording processing unit 333 returns the process to step S211.
  • step S214 the recording processing unit 333 causes the mobile terminal 10 to output a warning based on the abnormality via the output control unit 192. After processing in step S214, the recording processing unit 333 returns the process to step S211.
  • FIG. 12 is a diagram showing an example of editing and processing of record information in the medical support system 1 according to this embodiment.
  • a case will be described in which an editing request is input to the management terminal 40 and the result of the editing process is output, but the terminal to which the editing request is input and the terminal to which the result of the editing process is output are not limited to the management terminal 40 and may be another terminal.
  • the terminal control unit 45 of the management terminal 40 transmits a request to view the recorded information to the information collection server 30 (step S301).
  • the terminal control unit 45 transmits the request to view the recorded information to the information collection server 30 via the NW communication unit 41.
  • the editing processing unit 335 of the information collecting server 30 generates a list of recorded information (step S302).
  • the editing processing unit 335 generates a list of recorded information, for example, as shown in display screen G2 in FIG. 13.
  • information showing an overview of the recorded information (date, patient name, attending physician, and symptoms) is summarized on one line, and the list of recorded information is constructed by displaying the information showing the overview of each piece of recorded information side by side.
  • the editing processing unit 335 transmits the list of recording information to the management terminal 40 (step S303).
  • the editing processing unit 335 transmits the generated list of recording information to the management terminal 40 via the NW communication unit 31.
  • the display control unit 451 of the management terminal 40 causes the display unit 43 to display a list of the recorded information (step S304).
  • the display control unit 451 causes the display unit 43 to display a list of the recorded information, such as the display screen G2 shown in FIG. 13, for example.
  • the terminal control unit 45 transmits a request to view details of the recorded information to the information collection server 30 in response to the user (administrator) operating the input unit 42 (step S305). For example, when the user selects information (any "row") showing an overview of the recorded information on the display screen G2 shown in FIG. 13 by using the cursor, touch operation, etc., a request to view details of the selected recorded information is transmitted to the information collection server 30.
  • the editing processing unit 335 transmits detailed information of the recording information corresponding to the request to view the details of the recording information to the management terminal 40 (step S306).
  • the display control unit 451 causes the display unit 43 to display detailed information about the corresponding recording information (step S307).
  • the detailed information about the recording information may be displayed as a timeline display of the recording information, such as screen G1 shown in FIG. 7.
  • the terminal control unit 45 transmits an editing/processing request to the information collection server 30 in response to the user (administrator) operating the input unit 42 (step S308).
  • the user can input instructions such as correcting keywords displayed on the timeline while referring to the screen of the display unit 43.
  • the editing processing unit 335 executes processing according to the editing/processing request (step S309).
  • the editing processing unit 335 stores the record information after executing the processing according to the editing/processing request in the record information storage unit 327, and updates the record information.
  • the editing processing unit 335 transmits the results of the editing and processing process, i.e., the updated record information, to the management terminal 40 (step S310).
  • the display control unit 451 causes the display unit 43 to display the results of the editing and processing process, i.e., the updated record information (step S311).
  • FIG. 14 is a diagram showing an example of a summary text screen of recorded information in the medical support system 1 according to this embodiment.
  • the editing processing unit 335 may edit the record information automatically or in response to an instruction input from the user to generate summary text such as the display screen G3 shown in FIG. 14 instead of a timeline display, and display it on the display unit 43 via the display control unit 451.
  • the editing processing unit 335 may also edit the record information automatically or in response to an instruction input from the user to generate a list (archive information) including, for example, the date, the doctor in charge, the nurse in charge, and symptoms, and display it on the display unit 43 of the management terminal 40 via the display control unit 451.
  • FIG. 15 is a flowchart showing an example of a medical document generation process in the medical support system 1 according to this embodiment.
  • the medical document generation unit 336 of the information collection server 30 first determines whether or not a request to create a medical document has been received (step S321).
  • the request to create a medical document is input by the user via, for example, the management terminal 40.
  • the input means for the request is not limited to this, and any terminal may be used to input the request. If the medical document generation unit 336 has received a request to create a medical document (step S321: YES), it proceeds to step S322. If the medical document generation unit 336 has not received a request to create a medical document (step S321: NO), it returns the process to step S321.
  • step S322 the medical document generation unit 336 generates a medical document from the record information in response to the creation request.
  • the medical document generation unit 336 generates a medical document from the record information stored in the record information storage unit 327 based on the medical document format stored in the format storage unit 328.
  • the medical document generation unit 336 stores the generated medical document in the medical document storage unit 329 (step S323).
  • the medical document generation unit 336 sends the medical documents to the hospital management server 50 (step S324).
  • the hospital management server 50 manages medical documents such as electronic medical records, medical receipts (medical fee statements), and prescriptions, and outputs medical receipts (medical fee statements) and prescriptions to patients.
  • the medical document generation unit 336 ends the process.
  • the medical support system 1 (support system) includes a collection processing unit 191, a recording processing unit 333, and an output control unit 192.
  • the collection processing unit 191 collects sound data (sound information) and image data (image information) associated with a medical procedure by a user (e.g., a medical professional).
  • the recording processing unit 333 extracts a first keyword included in the sound data collected by the collection processing unit 191, and stores, as record information, information associating the first keyword with date and time information when the first keyword was uttered, and information associating the image data collected by the collection processing unit 191 with date and time information when the image data was acquired, in the record information storage unit 327.
  • the output control unit 192 displays, on the display unit 13, a timeline display in which the keywords and image data are arranged in chronological order based on the record information stored in the record information storage unit 327.
  • the medical support system 1 associates keywords and image data with date and time information and stores them as record information in the record information storage unit 327, so that more accurate records of medical procedures can be automatically collected and kept. Therefore, the medical support system 1 according to this embodiment can further reduce the burden on medical staff and improve work efficiency and work accuracy. In addition, the medical support system 1 according to this embodiment can improve convenience. In particular, in emergency medical care situations, treatment is performed in a time-sensitive situation, so it may be difficult to manually take notes on the contents of medical procedures quickly and accurately, and there has been a demand for technology that can automatically record medical procedures. According to the medical support system 1 according to this embodiment, the contents of medical procedures are automatically and accurately recorded based on the user's voice, the screen of the medical equipment, and the like, so that it can have the effect of improving user convenience, especially when applied to emergency medical care situations.
  • Patent Document 1 discloses a technology for recognizing medical procedures performed in surgery as events and creating a display screen in which the recognized events are arranged in the order of occurrence.
  • the display screen of Patent Document 1 displays text data indicating the event and a link to the related image data, and when, for example, one wants to check an image, one has to select the link and check the image on another screen, which is time-consuming.
  • keywords and image data related to the medical procedure are associated with date and time information and stored as record information, and a timeline display can be performed in which the record information is arranged in chronological order.
  • the image data itself is displayed in chronological order along with the text data related to the medical procedure, so that the user can check and understand the flow of the medical procedure at a glance by looking at the display.
  • the contents of the medical procedure can be displayed in a format that is easier to understand, thereby further improving the convenience for the user.
  • the collection processing unit 191 starts collecting sound data or image data when a start operation that starts the collection of sound data or image data is detected as a hands-free operation performed by the user without contact. Also, the collection processing unit 191 ends the collection of sound data or image data when a stop operation that ends the collection of sound data or image data is detected as a hands-free operation.
  • the medical support system 1 allows the user to operate the collection of audio data or image data through non-contact operations, allowing the user to perform medical procedures and record medical procedures while maintaining hygienic conditions. Therefore, the medical support system 1 according to this embodiment can further reduce the burden on medical staff and improve convenience.
  • the medical support system 1 also includes a microphone 22 (sound collection unit) and an imaging unit 23.
  • the microphone 22 sound collection unit collects sounds associated with the medical procedure and outputs sound data.
  • the imaging unit 23 captures images associated with the medical procedure and outputs image data.
  • Hands-free operations include at least one of operations based on the user's voice detected based on the sound data output by the microphone 22, operations based on the user's motion detected based on the image data output by the imaging unit 23, and operations based on the user's gaze detected by a headset (headset device 20) equipped with the imaging unit 23.
  • the medical support system 1 can record medical procedures and the like using voice control, motion control, and eye gaze control, further reducing the burden on medical staff and improving convenience.
  • the output control unit 192 adds and displays text based on the user's voice at a specified position in the image data displayed by the display unit 13.
  • the medical support system 1 can add text to image data using the user's voice, making it possible to record information more clearly and accurately.
  • the recording processing unit 333 extracts a second keyword, which is a keyword included in the image data collected by the collection processing unit 191, and stores information associating the image data, the date and time information (e.g., time information) when the image information was acquired, and the second keyword in the recorded information storage unit 327 as recorded information.
  • the output control unit 192 displays the image information, the date and time information when the image information was acquired, and the second keyword in association with each other on the timeline display on the display unit 13.
  • the medical support system 1 associates the second keyword extracted from the image data with the image data and displays it on the display unit 13, making it possible to keep records of medical procedures in an even clearer and more accurate manner.
  • the recording processing unit 333 stores the recording information created for each period during which the sound data and image data were collected in the recording information storage unit 327.
  • the output control unit 192 displays a timeline display for each period on the display unit 13.
  • the record information is recorded for each period, so the record information can be recorded efficiently.
  • the record information can be checked for each period by displaying a timeline, so work efficiency can be improved.
  • the first keyword and the second keyword include at least one of terms related to the treatment, terms related to the tools used in the treatment, terms related to medication, and terms related to the patient's biological information.
  • the medical support system 1 can accurately record record information on medical procedures.
  • the users include multiple medical professionals.
  • the record processing unit 333 identifies the speaker who spoke the first keyword among the multiple medical professionals based on the sound data, and stores information that associates identification information (e.g., a user ID) that identifies the speaker with the first keyword and date and time information as record information in the record information storage unit 327.
  • identification information e.g., a user ID
  • the user can receive appropriate support during medical procedures, further improving the efficiency and accuracy of medical procedures.
  • the support method also includes a collection processing step, a recording processing step, and an output control step.
  • the collection processing step the collection processing unit 191 collects sound data and image data associated with a medical procedure by the user.
  • the recording processing step the recording processing unit 333 extracts a first keyword, which is a keyword contained in the sound data collected by the collection processing unit 191, and stores, as record information, information associating the first keyword with date and time information when the first keyword was uttered, and information associating the image data collected by the collection processing unit 191 with date and time information when the image information was acquired, in the record information storage unit 327.
  • the output control unit 192 displays, on the display unit 13, a timeline display in which the keywords and image data are arranged in chronological order based on the record information stored in the record information storage unit 327.
  • the support method according to this embodiment has the same effect as the medical support system 1 described above, further reducing the burden on medical staff and improving work efficiency and accuracy.
  • the server device (information collecting server 30) may include the collection processing unit 191 and the output control unit 192. That is, the server device (information collecting server 30) according to the present embodiment may include the above-described collection processing unit 191, the recording processing unit 333, and the output control unit 192. As a result, the server device (information collection server 30) according to this embodiment can achieve the same effects as the medical support system 1 described above, further reducing the burden on medical personnel and improving work efficiency and accuracy.
  • a modified example is described in which a timeline based on recorded information is displayed on an external display device 55 installed in a medical setting, such as an operating room, in addition to the display unit 13 of the mobile terminal 10.
  • FIG. 16 is a functional block diagram showing an example of a medical support system 1a according to the second embodiment.
  • the medical support system 1 a includes a mobile terminal 10 , a headset device 20 , an external imaging device 25 , an information collecting server 30 a , a management terminal 40 , a hospital management server 50 , and an external display device 55 .
  • the same components as those in the first embodiment shown in FIG. 1 are denoted by the same reference numerals, and the description thereof will be omitted.
  • the medical support system 1a is an example of a support system.
  • the external display device 55 is, for example, a large-screen display device that is fixedly installed in an operating room or the like.
  • the external display device 55 is, for example, a liquid crystal display, and is an example of a display unit.
  • the display unit includes the external display device 55 (an example of a display device) installed in a place where a medical procedure is performed (for example, an operating room, etc.).
  • the external display device 55 also includes a display control unit 551 .
  • the display control unit 551 displays various information on the external display device 55 in response to instructions from the recording processing unit 333a of the information collection server 30a, which will be described later.
  • the display control unit 551 displays a timeline based on the recorded information, similar to the display unit 13 of the mobile terminal 10.
  • the timeline display is performed in real time while the medical procedure is being performed, and the timeline display is updated each time a procedure is performed (in detail, each time sound data and image data related to the procedure are collected and the recorded information is updated) (i.e., new information related to the procedure is added to the timeline from time to time).
  • the recording processing unit 333a displays the timeline display on the external display device 55 while updating it to the latest information via the display control unit 551, that is, while updating various information related to the procedure (for example, the patient's biological information, information related to symptoms, or information related to medication) to the latest information.
  • the display control unit 551 displays associated information associated with the recorded information on the same screen together with the timeline display.
  • the associated information is, for example, basic information about the patient, information about the patient's symptoms, or information related to medication. Details of the display on the external display device 55 will be described later.
  • the information collection server 30a is a server device that performs support processing to reduce the burden on medical personnel, such as recording various information (recorded information) associated with medical procedures performed by medical personnel and displaying display information based on the recorded information on the display unit 13 of the mobile terminal 10 and the external display device 55.
  • the information collection server 30a is capable of communicating with the mobile terminal 10, the management terminal 40, the hospital management server 50, and the external display device 55 via the network NW1.
  • the information collecting server 30a includes a NW communication unit 31, a server storage unit 32, and a server control unit 33a.
  • the server control unit 33a is a functional unit realized by, for example, causing a processor (not shown) including a CPU to execute a program stored in the server storage unit 32.
  • the server control unit 33a comprehensively controls the information collecting server 30a and executes various processes.
  • the server control unit 33a includes a voice recognition processing unit 331, an image recognition processing unit 332, a recording processing unit 333a, a support processing unit 334, an editing processing unit 335, a medical document generation unit 336, and a learning processing unit 337.
  • the recording processing unit 333a has the same functions as the recording processing unit 333 of the above-described first embodiment.
  • the recording processing unit 333a also displays a timeline display in which keywords and image data are arranged in chronological order on the external display device 55 via the display control unit 551 of the external display device 55.
  • the recording processing unit 333a updates the timeline display to the latest information based on the recording information that is updated from time to time, and displays it on the external display device 55 via the display control unit 551.
  • the recording processing unit 333a also displays associated information of the recording information on the same screen as the timeline display of the recording information via the display control unit 551.
  • the recording processing unit 333a also updates and displays the associated information in accordance with the update of the timeline display via the display control unit 551.
  • FIG. 17 is a diagram showing an example of the operation of the medical support system 1a according to this embodiment.
  • the display control unit 551 displays a timeline of the recorded information in area SG1 (first area) on the screen of the external display device 55, and also displays basic information of the patient in area SG2 (second area).
  • the basic information is an example of associated information, and is, for example, the patient's name, height, weight, blood type, symptoms, and biometric information (vital information).
  • the biometric information includes, for example, heart rate, blood pressure, body temperature, respiratory rate, etc.
  • the recording processing unit 333a causes the display control unit 551 to display and transcribe the newly displayed basic information values into area SG2 (second area) as the latest basic information.
  • the recording processing unit 333a causes the external display device 55 to display a timeline display in which keywords and image data are arranged in chronological order, via the display control unit 551 of the external display device 55, and also causes the external display device 55 to display the patient's latest biometric information (heart rate, blood pressure, body temperature, respiratory rate, etc.) based on the recorded information.
  • biometric information heart rate, blood pressure, body temperature, respiratory rate, etc.
  • FIG. 18 is a diagram showing another example of the operation of the medical support system 1a according to this embodiment. Here, a modified example of the information displayed on the external display device 55 is described.
  • the display control unit 551 displays a timeline of the recorded information in area SG1 (first area) on the screen of the external display device 55, and displays information about the patient's symptoms in area SG3 (third area).
  • the information about the patient's symptoms is an example of associated information, and includes, for example, the name of the symptom and an image PH3 of the affected area.
  • the external display device 55 also displays information about medication extracted from the recorded information in area SG4 (fourth area).
  • the information about medication is an example of associated information, and includes, for example, the name and dosage of the administered medication, and an image PH4 of the label of the administered medication pack.
  • the recording processing unit 333a causes the external display device 55 to display a timeline display in which keywords and image data are arranged in chronological order, via the display control unit 551 of the external display device 55, and also causes the external display device 55 to display information relating to the patient's symptoms and information relating to medication, based on the recorded information.
  • the recording processing unit 333a causes the display control unit 551 to display the newly displayed information so that it is transcribed into area SG3 (third area) as information related to the latest patient's symptoms. Also, when the timeline display is updated in area SG1 (first area) and information related to medication is additionally displayed, the recording processing unit 333a causes the display control unit 551 to display the newly displayed information so that it is transcribed into area SG4 (fourth area) as information related to the latest medication.
  • the type and content of the associated information to be displayed on the same screen as the timeline display may be arbitrarily set by the user. For example, by setting items that the user wants to check during a medical procedure as associated information, the user can perform the procedure while checking the record information (timeline display) and the associated information that are updated from time to time.
  • the desired information is automatically extracted by setting the information to be extracted as associated information, so that the user can save the trouble of manually extracting the desired information from the record information. For example, information contained in any medical document may be set as the associated information.
  • the display of the associated information may be controlled so that the format of the medical document specified by the user is displayed, and the corresponding information from the timeline display is automatically transcribed into the blank items of the medical document. This allows the user to check the contents of the medical document that is ultimately scheduled to be created by the medical document generation unit 336 based on the record information in advance on-site.
  • the display unit to which the recorded information is output is the external display device 55 (display device) installed at the location where the medical procedure is performed.
  • the recording processing unit 333a causes the external display device 55 to display a timeline display in which keywords and image information are arranged in chronological order, while updating the timeline display (updating to the latest information) as needed, via the display control unit 551 (an example of an output control unit).
  • the recording processing unit 333a causes the display control unit 551 to display associated information (for example, the patient's latest basic information (for example, biological information), latest symptom information, or medication information) as needed, on the same screen as the timeline display of the recorded information, based on the updated recorded information.
  • the medical support system 1a makes it possible to perform treatment while checking the timeline display of recorded information that is constantly updated, and the associated information, thereby improving user convenience.
  • the associated information by configuring the associated information to be displayed by automatically transcribing part of the recorded information, it is possible to eliminate the need for the user to manually transcribe the information. In this way, according to this embodiment, the burden on medical staff can be further reduced, and work efficiency and accuracy can be improved.
  • the display according to this embodiment does not necessarily have to be displayed on the external display device 55, but may be displayed on another display device.
  • the displays shown in Figures 17 and 18 may be displayed on the display unit 13 of the mobile terminal 10.
  • the information displayed as the associated information may be editable by the editing processing unit 335 of the information collecting server 30a, similar to the record information in the first embodiment. This makes it possible to make appropriate corrections when an error is found in the information extracted from the record information as the associated information.
  • the record information is edited by the editing processing unit 335, the corresponding description of the associated information may be automatically corrected.
  • editing (changing) the record information may be automatically reflected in the associated information. This makes it possible to correct both errors in a single editing process when there is a common error in the record information and the associated information extracted from the record information, thereby improving business efficiency.
  • the timeline display as shown in FIG. 7 may be shared in real time, for example, on any network inside or outside the hospital.
  • an external specialist for example, an external doctor from another department, etc.
  • comments on AI diagnosis may be added.
  • the timeline display and added comments may be displayed on a single screen.
  • the display control unit 551 output control unit 192 may change the font and color of the comments from the specialist and AI diagnosis to make them easier to understand.
  • the medical support system 1a can make more effective use of recorded information by utilizing external specialists and AI diagnosis, and can improve the accuracy of operations (accuracy of diagnosis and treatment).
  • the display control unit 551 (192) may change the background color of time periods in which there was a sudden change in the data.
  • the recording processing unit 333a (333) may automatically record the start time and end time of the sudden change.
  • a “sudden change” may be, for example, a sudden change in biological data (heart rate, blood pressure), etc.
  • the medical support system 1a(1) can clearly display noteworthy recorded parts where abnormalities may have occurred, allowing users to quickly access the desired recorded information when checking the recorded information at a later date.
  • This embodiment relates to a method for more effectively utilizing the record information recorded in the first and second embodiments.
  • the purpose of this embodiment is to effectively utilize medical treatment information (e.g., date and time information, information on the patient's symptoms, information on the contents of the treatment, information on the time required for the treatment, and progress information showing the progress after the treatment) collected at a medical institution.
  • medical treatment information e.g., date and time information, information on the patient's symptoms, information on the contents of the treatment, information on the time required for the treatment, and progress information showing the progress after the treatment
  • FIG. 19 is a functional block diagram showing an example of a medical support system 1b according to the third embodiment.
  • medical support system 1b includes a mobile terminal 10, a headset device 20, an external imaging device 25, an information collection server 30, a management terminal 40, a hospital management server 50, and an information support server 60.
  • mobile terminal 10, external imaging device 25, information collection server 30, management terminal 40, hospital management server 50, and information support server 60 are connected to network NW1 and can communicate with each other.
  • Medical support system 1b is an example of a support system.
  • FIG. 19 shows only the recorded information storage unit 327 among the functions of the information collection server 30 shown in FIG. 1.
  • the information support server 60 is a server device that executes various processes to more effectively use the recorded information stored in the recorded information storage unit 327 of the information collection server 30.
  • the information support server 60 includes a network communication unit 61, a server storage unit 62, and a server control unit 63.
  • the NW communication unit 61 is a communication device that can be connected to the network NW1, for example, by wireless LAN or wired LAN.
  • the NW communication unit 61 performs data communication between, for example, the mobile terminal 10, the management terminal 40, and the information collection server 30 via the network NW1.
  • the NW communication unit 61 receives record information from, for example, the information collection server 30.
  • the NW communication unit 61 also receives various requests from the management terminal 40 to make effective use of the record information.
  • the server storage unit 62 is a storage unit realized by a memory (not shown) provided in the information support server 60, and stores various information used by the information support server 60.
  • the server storage unit 62 includes an aggregate information storage unit 621, a learning data storage unit 622, a learning result storage unit 623, a regional information storage unit 624, a prediction result storage unit 625, a personnel allocation information storage unit 626, a labor management information storage unit 627, and an externally provided information storage unit 628.
  • the aggregated information storage unit 621 stores the aggregation results of the aggregation processing unit 631, which will be described later, aggregating the record information stored in the record information storage unit 327 of the information collection server 30.
  • the aggregated information storage unit 621 stores, as the aggregation results, for example, statistical data on the number of patients and symptoms for each period (e.g., month, day), statistical data on patient information (age, sex) and the time taken for treatment, statistical data on symptoms and the time taken for treatment, statistical data such as the content of medical procedures and the time taken for treatment for each medical worker, and statistical data showing the relationship between the treatment performed, the type and amount of administered medicine, the tool used, and progress information after treatment for each symptom.
  • the aggregated information storage unit 621 may store the time taken for treatment in emergency medical care separately from the time taken for treatment in other normal medical care.
  • the aggregated information storage unit 621 may also store statistical data on the time taken from when an inquiry about emergency transport was made until the patient was transported.
  • the compiled results include statistical data on the number of patients and symptoms for each period, statistical data on symptoms and the time required for medical treatment, and statistical data on patient information and the time required for medical treatment.
  • the learning data storage unit 622 stores various learning data for executing machine learning processing.
  • the learning data storage unit 622 stores, for example, learning data that has been processed to generate a desired learning model based on recorded information and aggregation results.
  • the learning result storage unit 623 stores the learning results obtained by the learning processing unit 632, which will be described later, executing machine learning processing using the learning data stored in the learning data storage unit 622.
  • the learning result storage unit 623 stores various learning models, such as a prediction model that predicts busy periods at medical institutions, a prediction model that predicts the time required for treatment for each symptom, candidate treatments for each symptom, candidate medications, candidate tools to be used, or an estimation model that estimates treatment timing (including treatment procedures).
  • the regional information storage unit 624 stores regional information including at least one of the following: information about the regional weather, information about traffic volume in the region, information about events held in the region, information about the regional population, information about schools in the region, information about regional industries, and information about other medical institutions located in the region.
  • the regional information stored in the regional information storage unit 624 is obtained from an external server via the network NW1.
  • the weather information includes the weather, temperature, humidity, wind speed, etc.
  • the prediction result storage unit 625 stores the prediction results predicted by the prediction processing unit 633, which will be described later.
  • the personnel allocation information storage unit 626 stores the personnel allocation information generated by the personnel allocation generation unit 634 described later.
  • the labor management information storage unit 627 stores various information for managing the work of the medical staff who are users.
  • the labor management information storage unit 627 stores labor evaluation information and work hour management information for each medical staff member.
  • the external information storage unit 628 stores external information generated by the external information processing unit 637 described below based on the recorded information.
  • the external information is information provided from the medical support system 1b to external institutions.
  • the external information stored in the external information storage unit 628 includes, for example, information that can be provided to medical associations or other hospitals and used as data for academic conference presentations on cases, information that can be provided to government-related institutions such as the Ministry of Health, Labor and Welfare and used to calculate medical fees determined according to the difficulty of treatment, and information that can be provided to pharmaceutical companies or medical device manufacturers and used as research and development data.
  • Information that can be used as research and development data includes, for example, information such as the type and amount of medicine used in treatment, and information on the progress after treatment.
  • the server control unit 63 is a functional unit that is realized, for example, by having a processor (not shown) including a CPU execute a program stored in the server storage unit 62.
  • the server control unit 63 comprehensively controls the information support server 60 and executes various processes.
  • the server control unit 63 includes a compilation processing unit 631, a learning processing unit 632, a prediction processing unit 633, a personnel allocation generation unit 634, a labor management processing unit 635, a proposal processing unit 636, and an external provision processing unit 637.
  • the aggregation processing unit 631 aggregates the record information recorded based on the information collected during the medical procedure.
  • the record information is information stored in the record information storage unit 327 of the information collection server 30, and includes, for example, patient information indicating the patient, medical worker information indicating the medical worker who performed the medical procedure, and medical procedure information indicating the content of the medical procedure associated with date and time information.
  • the tallying processing unit 631 for example, tallying up statistical data on the number of patients and symptoms for each period (month, day), statistical data on patient information (age, sex) and the time taken for treatment, statistical data on symptoms and the time taken for treatment, and statistical data showing the relationship between the treatment performed, the type and amount of drug administered, the tool used, and progress information after treatment for each symptom, based on record information (information indicating the content of medical procedures at a medical institution).
  • the tallying information storage unit 621 may tally up the time taken for treatment in emergency medical care separately from the time taken for treatment in other normal medical care. This is because emergency medical care often targets patients who require urgent care, and therefore information on the time taken for treatment may be particularly important.
  • the tallying information storage unit 621 may also tally up statistical data on the time taken from when an inquiry about emergency transport is made until the patient is transported.
  • the aggregation processing unit 631 also aggregates the content of medical procedures and the time required for each medical worker based on the recorded information, for example, to generate statistical data regarding the work of medical workers.
  • the aggregation processing unit 631 may perform a man-hour analysis of each medical worker based on the collection time of the record information, for example.
  • the aggregation processing unit 631 may also aggregate the treatment procedures and timing of treatment for multiple hospitals and multiple doctors, for example.
  • the calculation processing unit 631 may also calculate the difficulty of medical treatment based on the diagnosis result (disease name, etc.) and the collection time of the recorded information.
  • the calculation processing unit 631 may also perform calculations by associating, for example, the medical device (tool) with the collection time of the recorded information (required time) or the collected information (treatment effect: for example, improvement of blood data, changes in vital signs (blood pressure, pulse rate, consciousness, respiration, body temperature, oxygen saturation, etc.)).
  • the counting processing unit 631 may obtain a correlation between the area information and a specific symptom by counting the recorded information in association with the area information stored in the area information storage unit 624.
  • Examples of correlations between the area information and a specific symptom include "when the temperature is below aa degrees and the humidity is below bb%, the number of influenza patients increases by cc% compared to normal", "when the temperature is above dd degrees and the humidity is above ee%, the number of heat stroke patients increases by ff% compared to normal", and "when the traffic volume is above gg% compared to normal, the number of patients due to traffic accidents increases by hh%".
  • the tallying unit 631 stores the tallying results in the tally information storage unit 621 .
  • the learning processing unit 632 generates learning data according to the subject of machine learning based on the recorded information or the aggregation results, and stores the data in the learning data storage unit 622 . Furthermore, the learning processing unit 632 generates various learning models using the learning data stored in the learning data storage unit 622. The learning processing unit 632 generates, by machine learning processing, for example, a prediction model that predicts the busy season of a medical institution, a prediction model that predicts the time required for treatment for each symptom, and an estimation model that estimates treatment candidates, medication candidates, tool candidates, or treatment timing (including treatment procedure), for each symptom.
  • a prediction model that predicts the busy season of a medical institution
  • a prediction model that predicts the time required for treatment for each symptom
  • an estimation model that estimates treatment candidates, medication candidates, tool candidates, or treatment timing (including treatment procedure), for each symptom.
  • the learning processing unit 632 may perform machine learning further including patient information (age, sex, etc.). By including patient information, the prediction (estimation) accuracy of the model can be improved.
  • the learning processing unit 632 stores the learning results of the machine learning processing, such as a prediction model, in the learning result storage unit 623.
  • the prediction processing unit 633 predicts the busy season of the medical institution based on the results of the aggregation performed by the aggregation processing unit 631. For example, the aggregation processing unit 631 aggregates the number of patients for each symptom based on the recorded information, and the prediction processing unit 633 predicts the busy season for each medical department based on the aggregated number of patients for each symptom.
  • the prediction processing unit 633 also predicts the busy season of the medical institution, for example, based on the tally results stored in the tally information storage unit 621 and the regional information stored in the regional information storage unit 624. Specifically, the prediction processing unit 633 predicts an increase or decrease in the number of patients with a specific symptom according to the current regional information, based on the correlation between the regional information obtained by the tally processing unit 631 and the specific symptom.
  • the prediction processing unit 633 predicts busy periods based on information about events held in a region included in the regional information, according to the number of people in that region during the event period (for example, the prediction processing unit 633 predicts that there is a possibility of an increase in heat stroke patients if a crowded event is held in the summer, etc.).Furthermore, for example, the prediction processing unit 633 predicts busy periods based on information about the industry of the region included in the regional information (for example, the prediction processing unit 633 predicts that in a region with many factories, the number of patients visiting medical institutions due to injuries caused by accidents in the factories will increase, etc.).
  • the prediction processing unit 633 predicts busy periods based on information about the population of the region included in the regional information (for example, the prediction processing unit 633 predicts the number of patients with symptoms according to gender, age, etc., taking into account the male/female ratio and age structure of the population of the region (there is a possibility of an increase in patients with diseases specific to men/women, an increase in patients with diseases specific to children/elderly people, etc.)).
  • the prediction processing unit 633 predicts busy periods based on information about schools in the region included in the regional information, for example, according to the number of elementary schools, junior high schools, high schools, and universities (for example, the prediction processing unit 633 predicts that in a region with a large number of elementary schools, there is a possibility of an increase in patients with diseases specific to children, etc.).
  • the prediction processing unit 633 predicts busy periods based on information about other medical institutions located in the area included in the regional information (for example, the prediction processing unit 633 predicts the number of patients with a specific symptom who will visit its own medical institution, taking into account the medical departments and size, etc., of its own medical institution and the other medical institutions). Furthermore, the prediction processing unit 633 may predict the busy season of the medical institution based on the prediction model stored in the learning result storage unit 623.
  • the prediction model here is a prediction model that predicts the busy season of the medical institution.
  • the prediction processing unit 633 may also predict the required time for treatment for each symptom based on the statistical data of symptoms and the time taken for treatment compiled by the compilation processing unit 631. For this prediction, a prediction model predicting the required time for treatment for each symptom may be used, which is the result of machine learning performed by the learning processing unit 632 using the symptoms or diagnosis results (disease name, etc.) included in the recorded information and the required time for treatment (based on the collection time of the recorded information) as teacher data.
  • the prediction processing unit 633 may use the information on the treatment time required for each symptom predicted in this way to predict, for example, when there is an inquiry about the acceptability of emergency transport, the time when emergency transport can be accepted and the number of patients that can be accepted. Specifically, information on the status of medical staff at the medical institution at the time of the emergency transport (information indicating the working status such as how many medical staff from which departments are working, the work status of each staff at that time (are they treating a patient or are they free), and when they will be free if they are treating a patient) as well as information regarding the emergency transport (basic information of the patient involved in the emergency transport (patient's name, height, weight, blood type, symptoms, and biological information (vital information), etc.) are input to the prediction processing unit 633 via the NW communication unit 61.
  • the prediction processing unit 633 calculates the symptoms and the time required for treatment, which have been collected by the collection processing unit 631, and calculates the number of patients that can be accepted. Based on the statistical data (strictly speaking, the time required for treatment for each symptom predicted therefrom), information on the status of medical personnel, and information on emergency transport (particularly, information on the symptoms of the patient involved in the emergency transport), the time when the patient can be admitted for the emergency transport and the number of patients that can be admitted may be predicted, taking into consideration the status of medical personnel who can handle the symptoms of the patient involved in the emergency transport and the time required to treat the symptoms (predicted value). In this case, the prediction process is performed using statistical data on the time required for treatment in emergency medical care, which is compiled by the compilation processing unit 631, making it possible to improve the accuracy of the prediction.
  • the prediction processing unit 633 transmits the prediction results of the time when emergency transport can be accepted and the number of patients that can be accepted via the NW communication unit 61 to any terminal that the user can view, such as the mobile terminal 10, and outputs them from that terminal to a medical professional.
  • the medical professional can check the output information and communicate a response to the inquiry about whether emergency transport can be accepted.
  • the final response on whether or not to accept the patient may be made by taking into account the time it takes for the patient to be transported, using statistical data compiled by the compilation processing unit 631 on the time it takes from when an inquiry about emergency transport is made until the patient is transported.
  • the prediction processing unit 633 may also predict the optimal treatment for each symptom (optimal treatment, optimal amount of drug administered, optimal tool used, optimal treatment timing (including treatment procedure), etc.) based on statistical data indicating the relationship between the treatment performed for each symptom, the type and amount of drug administered, the tool used, and progress information after treatment, which are collected by the collection processing unit 631.
  • an estimation model may be used that estimates treatment candidates, medication candidates, tool candidates, or treatment timing candidates for each symptom, which are the learning results of machine learning performed by the learning processing unit 632 using the symptoms or diagnosis results (disease name, etc.) included in the record information, the treatment performed, the type and amount of drug administered, the tool used, and progress information after treatment as teacher data.
  • the prediction processing unit 633 may use the results of machine learning performed by the learning processing unit 632, including patient information (age, gender, etc.).
  • the prediction processing unit 633 stores the various prediction results described above (busy periods at medical institutions, time required for treatment for each symptom, time and number of patients available for emergency transport, optimal treatment for each symptom (optimal treatment, optimal amount of medication, optimal tools to be used, optimal timing of treatment, etc.) in the prediction result storage unit 625.
  • the staffing allocation generation unit 634 generates a staffing allocation of medical staff capable of handling the busy season of the medical institution based on the busy season of the medical institution predicted by the prediction processing unit 633. For example, the staffing allocation generation unit 634 generates an allocation plan of medical staff in a medical department corresponding to the symptom so as to handle the number of patients based on an increase or decrease in the number of patients for each symptom predicted by the prediction processing unit 633.
  • the user can transmit a request for generating a staffing allocation (staffing allocation request) to the staffing allocation generation unit 634 of the information support server 60 from the input unit 42 of the management terminal 40.
  • the personnel assignment request from the user may be input from any terminal.
  • the personnel assignment generation unit 634 that receives the personnel assignment request executes the above-mentioned personnel assignment generation process.
  • the staffing generation unit 634 stores the generated staffing results (staffing plan) in the staffing information storage unit 626.
  • the staffing generation unit 634 also outputs the generated staffing results to the request source (the terminal from which the staffing request was input). For example, the staffing generation unit 634 transmits the staffing results to the request source, the management terminal 40, via the NW communication unit 61.
  • the labor management processing unit 635 executes labor management processing for medical staff.
  • labor management includes evaluation of the work content of medical staff and management of working hours.
  • the labor management processing unit 635 executes labor management processing based on statistical data on the work of medical staff compiled by the compilation processing unit 631, for example.
  • the evaluation of work content takes into account information contained in the record information, such as the number of patients treated, the symptoms of the patients treated, the difficulty of the treatment, the time taken for the treatment, and the progress after the treatment.
  • the management of working hours takes into account information contained in the record information, such as the time taken for the treatment.
  • the labor management processing unit 635 stores the results of labor management in the labor management information storage unit 627.
  • the information related to labor management stored in the labor management information storage unit 627 may be output from any terminal (e.g., mobile terminal 10, etc.) connected to the network NW1 via the NW communication unit 61.
  • any terminal e.g., mobile terminal 10, etc.
  • access rights are set so that only the person in charge of labor management and the superior of the person subject to labor management among users can view the information related to labor management stored in the labor management information storage unit 627.
  • the proposal processing unit 636 proposes treatments that can be performed on a new patient based on the results of predictions made by the prediction processing unit 633 based on past record information. Specifically, for example, the proposal processing unit 636 proposes treatment options, medication options, tools to be used, or treatment timing options for a new patient based on the optimal treatments for each symptom predicted by the prediction processing unit 633 (optimal treatment, optimal amount of medication, optimal tool to be used, and optimal treatment timing (including treatment procedure)). This makes it possible for the proposal processing unit 636 to propose appropriate treatment content when a patient with symptoms similar to those included in the past record information is brought in by ambulance.
  • the proposal processing unit 636 may also propose treatment details for similar past cases in real time while the medical professional is treating the patient.
  • the user can send a proposal request (proposal request) from the input unit 42 of the management terminal 40 to the proposal processing unit 636 of the information support server 60.
  • the proposal request by the user may be input from any terminal.
  • the proposal processing unit 636 that receives the proposal request executes the proposal process.
  • the proposal processing unit 636 may propose candidate medical professionals who can handle the content of the treatment. For example, the proposal processing unit 636 may search for a doctor who can perform the treatment and propose calling him/her.
  • the proposal processing unit 636 may make these proposals using the learning results stored in the learning result storage unit 623 .
  • the proposal processing unit 636 may make various proposals based on, for example, the results of various prediction processes using the learning results by the prediction processing unit 633.
  • the proposal processing unit 636 may propose, for example, optimal treatments for each symptom (optimal treatments, optimal amounts of drugs to be used, optimal tools to be used, optimal treatment timings (including treatment procedures), etc.) predicted by the prediction processing unit 633 based on an estimation model that estimates treatment candidates, medication candidates, tool candidates, or treatment timings (including treatment procedures) for each symptom.
  • the proposal processing unit 636 transmits these proposals via the NW communication unit 61 to any terminal that the user can check, such as the mobile terminal 10, and outputs them from that terminal to the medical staff.
  • the proposal processing unit 636 may refer to the recorded information and cause the mobile terminal 10 to output a warning if the content of the actual treatment currently being performed (e.g., the content of the treatment, timing, type of tool, medication content, etc.) deviates from the content predicted by the prediction processing unit 633 (i.e., the content proposed by the proposal processing unit 636).
  • the presence or absence of discrepancy may be determined according to a predetermined rule.
  • the user may set the rule at will.
  • the rule may be set when the content of the treatment related to the proposed content differs from the content of the actual treatment, when the type of drug related to the proposed content differs from the type of drug that is actually going to be used, when the dosage of the drug related to the proposed content differs from the actual dosage of the drug by more than a predetermined threshold, and when the timing of the treatment/medication related to the proposed content (including the procedure) differs from the timing of the actual treatment/medication (including the procedure).
  • the warning may be in any form, such as a display or sound, as long as it is recognizable by the user.
  • the warning may also be output from any terminal other than the mobile terminal 10 that the user can see.
  • the external provision processing unit 637 executes preset processing on the recorded information or the aggregated results of the recorded information stored in the aggregate information storage unit 621 to generate information to be provided to an external organization.
  • the information to be provided to an external organization is, for example, information that can be provided to a medical association or other hospitals and used as data for academic conference presentations on cases, information that can be provided to a government-related organization such as the Ministry of Health, Labor and Welfare and used to calculate medical fees determined according to the difficulty of treatment, information that can be provided to a pharmaceutical company or a medical device manufacturer and used as research and development data, etc.
  • the user can send a request to generate externally provided information (request for externally provided information) from the input unit 42 of the management terminal 40 to the externally provided information processing unit 637 of the information support server 60.
  • the request for externally provided information by the user may be input from any terminal.
  • the request for externally provided information includes information on the destination to which the externally provided information will be provided.
  • the externally provided information processing unit 637 that receives the request for externally provided information performs processing in a format according to the destination to which the externally provided information will be provided, thereby performing the above-mentioned generation processing of the externally provided information.
  • the external provision processing unit 637 stores the generated provision information (external provision information) to be provided to the external organization in the external provision information storage unit 628.
  • the information stored in the external provision information storage unit 628 is transmitted to an external organization (not shown) designated by the user, for example, via the NW communication unit 61.
  • FIG. 20 is a flowchart showing an example of a learning process of the medical support system 1b according to this embodiment.
  • the tallying processing unit 631 of the information support server 60 acquires the recorded information and executes tallying processing (step S401).
  • the tallying processing unit 631 acquires the recorded information from the information collection server 30 via the NW communication unit 61, and executes various tallying processes according to the purpose.
  • the tallying processing unit 631 stores the tallying results in the tallying information storage unit 621.
  • the learning processing unit 632 of the information assistance server 60 generates learning data (step S402).
  • the learning processing unit 632 generates learning data using the aggregation results by the aggregation processing unit 631, and stores the learning data in the learning data storage unit 622.
  • the learning processing unit 632 executes a learning process based on the learning data (step S403).
  • the learning processing unit 632 executes a machine learning process using the learning data stored in the learning data storage unit 622.
  • the learning processing unit 632 stores the learning results in the learning result storage unit 623 (step S404). After the processing of step S404, the learning processing unit 632 ends the learning process.
  • FIG. 21 is a flowchart showing an example of personnel allocation processing in the medical support system 1b according to this embodiment.
  • the server control unit 63 of the information support server 60 determines whether or not a staffing request has been received (step S501).
  • the server control unit 63 determines whether or not a staffing request has been received from, for example, the management terminal 40 via the NW communication unit 61. If the server control unit 63 has received a staffing request (step S501: YES), the process proceeds to step S502. If the server control unit 63 has not received a staffing request (step S501: NO), the process returns to step S501.
  • the prediction processing unit 633 of the server control unit 63 predicts the busy season of the medical institution. For example, the prediction processing unit 633 predicts the busy season of the medical institution using statistical data of past recorded information compiled by the compilation processing unit 631. Alternatively, the prediction processing unit 633 may predict the busy season of the medical institution using the learning results (prediction model) stored in the learning result storage unit 623. The prediction processing unit 633 stores the prediction result in the prediction result storage unit 625.
  • the staffing generation unit 634 of the server control unit 63 generates a staffing plan based on the prediction result (step S503).
  • the staffing generation unit 634 generates a staffing plan to, for example, increase the number of medical staff during the predicted busy period.
  • the staffing generation unit 634 stores the generated staffing plan in the staffing information storage unit 626.
  • the personnel allocation generation unit 634 outputs the personnel allocation plan to the request source (step S504).
  • the personnel allocation generation unit 634 transmits the personnel allocation plan to, for example, the management terminal 40, which is the request source, via the NW communication unit 61.
  • the personnel allocation generation unit 634 ends the personnel allocation process.
  • FIG. 22 is a flowchart showing an example of a labor management process of the medical support system 1b according to this embodiment.
  • the calculation processing unit 631 of the information support server 60 acquires the record information and executes calculation processing for each medical worker (step S511).
  • the calculation processing unit 631 acquires the record information from the information collection server 30 via the NW communication unit 61 and executes calculation processing for each medical worker. Specifically, in the calculation processing for each medical worker, the content of the medical procedure and the period required for the medical procedure are calculated based on the record information, and statistical data on the work of the medical workers is generated.
  • the calculation processing unit 631 stores the calculation results in the calculation information storage unit 621.
  • the labor management processing unit 635 of the information support server 60 executes labor management processing for each medical worker based on the collected results (step S512).
  • the labor management processing includes evaluation of the work content of the medical worker and management of working hours.
  • the labor management processing unit 635 stores information about the results of labor management in the labor management information storage unit 627 (step S513). After processing in step S513, the labor management processing unit 635 ends the labor management processing.
  • FIG. Fig. 23 is a flowchart showing an example of a proposal process of the medical support system 1b according to this embodiment.
  • the medical support system 1b may execute the series of processes shown in Fig. 23 by receiving a proposal request (proposal request) from a user.
  • the user can transmit a proposal request to the information support server 60 from the input unit 42 of the management terminal 40.
  • the staffing request by the user may be input from any terminal.
  • the server control unit 63 of the information support server 60 acquires the record information (step S521).
  • the server control unit 63 acquires the record information from the information collection server 30 via the NW communication unit 61.
  • the prediction processing unit 633 of the server control unit 63 predicts the optimal treatment for the new patient from the past record information (step S522). Specifically, the prediction processing unit 633 predicts the optimal treatment for each symptom (optimal treatment, optimal amount of drug used, optimal tool used, optimal treatment timing (including treatment procedure), etc.) based on statistical data indicating the relationship between the treatment performed for each symptom, the type and amount of drug administered, the tool used, and progress information after treatment, which are collected by the collection processing unit 631.
  • the prediction processing unit 633 may predict the optimal treatment for the new patient using the learning results (an estimation model that estimates treatment candidates, medication candidates, tool candidates, or treatment timing candidates for each symptom) that have been learned in advance and stored in the learning result storage unit 623.
  • the prediction processing unit 633 stores the prediction results in the prediction result storage unit 625.
  • the proposal processing unit 636 proposes an optimal treatment based on the prediction result (step S523).
  • the proposal processing unit 636 transmits the content of the optimal treatment, which is the proposal content, via the NW communication unit 61 to the mobile terminal 10 or any terminal that the user can view.
  • the proposal processing unit 636 determines whether there is a discrepancy between the predicted/proposed treatment and the actual treatment (step S524). In this determination, the presence or absence of a discrepancy between the two can be determined according to a predetermined rule. If there is a discrepancy between the two (step S524: YES), the proposal processing unit 636 proceeds to step S525. If there is no discrepancy between the two (step S524: NO), the proposal processing unit 636 ends the process.
  • step S525 the proposal processing unit 636 outputs a warning. That is, the proposal processing unit 636 transmits a warning to the mobile terminal 10 via the NW communication unit 61, and outputs the warning to the display unit 13 or the speaker 15. Note that the warning may be output from any terminal other than the mobile terminal 10 that the user can confirm. After processing in step S525, the proposal processing unit 636 ends the processing.
  • FIG. 24 is a flowchart showing an example of an external provision process of the medical support system 1b according to this embodiment.
  • the server control unit 63 of the information support server 60 determines whether or not a request for externally provided information has been received (step S531).
  • the server control unit 63 determines whether or not a request for externally provided information has been received, for example, from the management terminal 40 via the NW communication unit 61. If the server control unit 63 has received a request for externally provided information (step S531: YES), the process proceeds to step S532. If the server control unit 63 has not received a request for externally provided information (step S531: NO), the process returns to step S531.
  • step S532 the external provision processing unit 637 of the server control unit 63 generates external provision information in response to the request from the recorded information or the aggregated results of the recorded information.
  • the external provision processing unit 637 stores the generated external provision information in the external provision information storage unit 628 (step S533). After processing in step S533, the external provision processing unit 637 ends the external provision process.
  • the information support server 60 includes a calculation processing unit 631 and a prediction processing unit 633.
  • the calculation processing unit 631 calculates the time required for treatment of patients for each symptom based on medical treatment information indicating the content of the medical treatment at the medical institution.
  • the prediction processing unit 633 predicts the time when the medical institution can accept patients for emergency transport and the number of patients that can be accepted, based on the results of the calculation performed by the calculation processing unit 631, the status of medical staff at the medical institution, and the symptoms of the patients involved in the emergency transport.
  • the information support server 60 compiles the time required for treatment of patients for each symptom, and predicts the time and number of patients that can be accepted for emergency transport at a medical institution based on the compilation results, the status of medical personnel at the medical institution, and the symptoms of patients involved in emergency transport, thereby making it possible to make more effective use of data obtained during medical procedures.
  • the information support server 60 of the medical support system 1b also includes a compilation processing unit 631, a prediction processing unit 633, and a staffing generation unit 634.
  • the compilation processing unit 631 compiles medical treatment information indicating the content of medical treatment at medical institutions.
  • the prediction processing unit 633 predicts the busy season of the medical institution based on the compilation results compiled by the compilation processing unit 631.
  • the staffing generation unit 634 generates a staffing of medical personnel capable of handling the busy season of the medical institution predicted by the prediction processing unit 633.
  • the information support server 60 can use medical treatment information obtained during medical treatment for staffing, and can effectively utilize recorded information. Therefore, the medical support system 1b according to this embodiment can reduce the burden on medical staff and improve work efficiency and work accuracy.
  • the counting processor 631 counts the number of patients for each symptom based on the medical treatment information.
  • the prediction processor 633 predicts the busy season for each medical department based on the number of patients for each symptom counted by the counting processor 631.
  • the staffing allocation generator 634 generates staffing allocations of medical staff in the medical departments who can handle the busy seasons based on the busy seasons for each medical department predicted by the prediction processor 633. This enables the information support server 60 according to this embodiment to generate appropriate staffing allocations of medical staff for each medical department.
  • the prediction processing unit 633 predicts the busy season of the medical institution based on the tabulation result and the regional information on the region the medical institution is located in.
  • the regional information includes at least one of information on the weather in the region, information on the traffic volume in the region, information on events held in the region, information on the population of the region, information on the industry in the region, and information on other medical institutions located in the region. This allows the information support server 60 according to this embodiment to more accurately predict the busy season of a medical institution based on the regional information relating to the region where medical treatment is performed.
  • the tabulation results include statistical data on the number of patients and symptoms for each period, statistical data on symptoms and the time required for medical treatment, and statistical data on patient information and the time required for medical treatment.
  • the information support server 60 can more accurately predict busy periods for medical institutions by using statistical data for each period and statistical data that takes into account the time required for medical procedures as the aggregation results.
  • the information support server 60 also includes a labor management processing unit 635.
  • the labor management processing unit 635 executes the labor evaluation process for medical workers and the management process for working hours.
  • the compilation processing unit 631 compiles the content of medical procedures and the time required for the medical procedures for each medical worker based on the recorded information, and generates statistical data regarding the work of the medical workers.
  • the labor management processing unit 635 then executes the labor evaluation process and labor management process based on the statistical data regarding the work of the medical workers.
  • the information support server 60 can use the record information obtained during medical procedures to perform labor evaluation processing and labor management processing for medical personnel, enabling even more effective use of the record information.
  • the information support server 60 includes a proposal processing unit 636.
  • the proposal processing unit 636 proposes possible treatment options or medication options for a new patient based on the past performance of recorded information. This allows the medical support system 1b according to this embodiment to make more effective use of the recorded information.
  • the recorded information includes progress information that indicates the progress after the medical procedure.
  • the proposal processing unit 636 proposes treatments that can be performed for a new patient based on the prediction results by the prediction processing unit 633 and the performance of past recorded information including progress information.
  • the treatments proposed for a new patient include candidate procedures, candidate medications, candidate tools to be used, or candidate treatment timings.
  • the information support server 60 can suggest possible treatment options or medication options, making more effective use of the recorded information.
  • the proposal processing unit 636 when proposing a treatment for a new patient, proposes candidates for medical staff who can handle the content of the treatment.
  • the information support server 60 when proposing a treatment for a new patient, the proposal processing unit 636 proposes candidates for medical staff who can handle the content of the treatment.
  • the information support server 60 when proposing a treatment for a new patient, the proposal processing unit 636 proposes candidates for medical staff who can handle the content of the treatment.
  • the information support server 60 according to this embodiment can further improve business efficiency and business accuracy.
  • the information support server 6 includes an external provision processing unit 637.
  • the external provision processing unit 637 executes a preset processing process on medical procedure information indicating the contents of medical procedures at medical institutions to generate information to be provided to external institutions.
  • the external institutions are other medical institutions or medical associations, and the information to be provided to the external institutions is information that can be used as data for academic conference presentations on cases.
  • the external institutions may be government-related institutions, and the information to be provided to the external institutions may be information that can be used to calculate or revise medical fees that are determined according to the difficulty of treatment.
  • the external institutions may be pharmaceutical companies or medical device manufacturers, and the information to be provided to the external institutions is information that can be used as research and development data. This allows the information support server 6 according to this embodiment to make more effective use of medical treatment information.
  • the information support server 60 also includes a learning processing unit 632.
  • the learning processing unit 632 performs machine learning on the learning data based on the aggregation results aggregated by the aggregation processing unit 631, and generates, as the learning result, a prediction model that predicts the busy season of the medical institution.
  • the prediction processing unit 633 predicts the busy season of the medical institution based on the prediction model.
  • the information support server 60 can use machine learning to accurately and efficiently predict busy periods for medical institutions.
  • the information support server 60 also includes a collection processing unit 191 and a recording processing unit 333.
  • the collection processing unit 191 collects sound information and image information associated with medical procedures.
  • the recording processing unit 333 extracts keywords contained in the collected sound information associated with medical procedures, and stores information associating the keywords with date and time information when the keywords were uttered, and information associating the collected image information associated with medical procedures with date and time information when the image information was acquired, as recorded information in the recorded information storage unit 327.
  • the recorded information is used as the medical procedure information.
  • the compilation processing unit 631 compiles the recorded information stored in the recorded information storage unit 327.
  • the information support server 60 can automatically collect and keep more accurate records of medical procedures, further reducing the burden on medical staff and improving work efficiency and accuracy.
  • the information support method also includes a compilation step, a prediction processing step, and a staffing allocation generation step.
  • the compilation step the compilation processing unit 631 compiles record information recorded based on information collected during medical procedures, the record information including patient information indicating the patient, medical worker information indicating the medical worker who performed the medical procedure, and medical procedure information indicating the content of the medical procedure associated with date and time information.
  • the prediction processing step the prediction processing unit 633 predicts the busy season of the medical institution based on the compilation results compiled by the compilation processing unit 631.
  • the staffing allocation generation unit 634 generates staffing allocations of medical workers capable of handling the busy season of the medical institution based on the busy season of the medical institution predicted by the prediction processing unit 633.
  • the information support method according to this embodiment has the same effect as the information support server 60 described above, reducing the burden on medical staff and improving work efficiency and accuracy.
  • the information support method also includes a calculation processing step and a prediction processing step.
  • the calculation processing step the calculation processing unit 631 calculates the time required for treatment of each symptom of the patient based on medical treatment information indicating the content of the medical treatment at the medical institution.
  • the prediction processing step when an inquiry is made about the acceptability of emergency transport, the prediction processing unit 633 predicts the time and number of patients that can be accepted for emergency transport at the medical institution based on the calculation results calculated by the calculation processing unit 631, the status of medical staff at the medical institution, and the symptoms of the patient involved in the emergency transport.
  • the information support method according to this embodiment has the same effect as the information support server 60 described above, and allows for more effective use of data obtained during medical procedures.
  • the time required for a procedure may be compared with a reference value to estimate the time and mental stress (for example, reflecting that a procedure that normally takes this long was performed in a short amount of time).
  • the labor management processing unit 635 may perform labor management using a points system, taking into account the estimated time and mental stress in addition to indicators such as the number of emergency patients handled and the response time.
  • the labor management processing unit 635 may be configured to add an additional evaluation to the remuneration of doctors and nurses when points exceed a standard in labor management processing.
  • the external provision processing unit 637 may provide the statistical data on the required time for each symptom/disease content compiled by the compilation processing unit 631 to government-related agencies such as the Ministry of Health, Labor and Welfare, so that the data can be used to revise medical fees.
  • FIG. 25 and 26 are diagrams for explaining the hardware configuration of each device of the medical support system 1 (1a, 1b) according to the embodiment.
  • FIG. 25 shows the hardware configuration of each server device, that is, the information collecting server 30 ( 30 a ), the hospital management server 50 , and the information support server 60 .
  • each of the server devices, the information collection server 30 (30a), the hospital management server 50, and the information support server 60 includes a communication device H31, a memory H32, and a processor H33.
  • the communication device H31 is a communication device, such as a LAN card, that can be connected to the network NW1.
  • the memory H32 is a storage device such as a RAM, flash memory, or HDD, and stores various information and programs used by each of the server devices, the information collecting server 30 (30a), the hospital management server 50, and the information support server 60.
  • the processor H33 is a processing circuit including, for example, a CPU.
  • the processor H33 executes various processes of each of the server devices, the information collection server 30 (30a), the hospital management server 50, and the information support server 60, by executing the programs stored in the memory H32.
  • FIG. 26 also shows the hardware configuration of each terminal device, the mobile terminal 10 and the management terminal 40.
  • each terminal device, the mobile terminal 10 and the management terminal 40 includes a communication device H11, an input device H12, a display H13, a wireless communication device H14, a microphone H15, a speaker H16, a camera H17, a memory H18, and a processor H19.
  • the communication device H11 is a communication device that can be connected to the network NW1, such as a LAN card, a wireless LAN card, or a mobile communication device.
  • the input device H12 is, for example, an input device such as a switch, a button, a touch sensor, or a non-contact sensor.
  • the display H13 is, for example, a display device such as a liquid crystal display or an organic electro-luminescence (EL) display.
  • the wireless communication device H14 is, for example, a Bluetooth (registered trademark) communication device.
  • the microphone H15 is a device that picks up sound.
  • the speaker H16 is a device that emits sound.
  • the camera H17 has, for example, a CCD image sensor and realizes the imaging unit 16 described above.
  • the memory H18 is a storage device such as a RAM, flash memory, or HDD, and stores various information and programs used by each terminal device of the mobile terminal 10 and the management terminal 40.
  • the processor H19 is a processing circuit including, for example, a CPU.
  • the processor H26 executes various processes of each terminal device of the mobile terminal 10 and the management terminal 40 by executing the programs stored in the memory H25.
  • the present disclosure is not limited to the above-described embodiments, and can be modified without departing from the spirit and scope of the present disclosure.
  • the information collecting server 30 (30a) includes a voice recognition processing unit 331, an image recognition processing unit 332, a recording processing unit 333 (333a), a support processing unit 334, an editing processing unit 335, and a medical document generating unit 336, but the present disclosure is not limited to such an example.
  • the medical support system 1 (1a) as a whole realizes each of the functions described above, the device configuration may be arbitrary, and each function may be mounted on an arbitrary device.
  • the mobile terminal 10 may be provided with some or all of the functions of the information collecting server 30 (30a).
  • the mobile terminal 10 can execute the functions of the medical support system 1 described above, such as displaying the timeline of the recorded information, thereby realizing smooth recording of the medical procedure.
  • various information such as recorded information generated and stored by the mobile terminal 10 may be transmitted to the information collecting server 30 and stored therein.
  • the device configuration and the functions installed in each device may be changed as desired so that each of the functions described above can be realized.
  • some or all of the features described in each of the above embodiments may be implemented in combination with each other to the extent possible.
  • the support system disclosed herein When the support system disclosed herein is applied to the manufacturing and construction industries, it is useful in situations where it is not possible to operate a terminal by hand, such as work sites where workers are wearing thick gloves, where hands get dirty, at high altitudes, underwater, or in dark places.
  • the support system disclosed herein can describe and record the situation using voice, and can take photographs and record using a wearable device such as smart glasses using voice control, reducing the burden on workers and improving work efficiency and accuracy.
  • the collected image data may be image data of a drug pack.
  • the image recognition processing unit 332 may recognize the type and remaining amount of drug (i.e., the dosage) from the image data showing the drug pack, and the recording processing unit 333 (333a) may record the recognition result as record information.
  • the image recognition processing unit 332 extracts text data contained in the image data, but the present disclosure is not limited to such an example, and the image recognition processing unit 332 may use various known image recognition technologies to recognize various situations in the medical field. For example, as described above, the image recognition processing unit 332 recognizes the type and remaining amount of drug (i.e., the dosage) from image data showing a drug pack, and the recording processing unit 333 (333a) records the recognition result as record information, making it possible to monitor whether the correct drug is being administered in the appropriate amount.
  • the image recognition processing unit 332 recognizes the type and remaining amount of drug (i.e., the dosage) from image data showing a drug pack, and the recording processing unit 333 (333a) records the recognition result as record information, making it possible to monitor whether the correct drug is being administered in the appropriate amount.
  • the record processing unit 333 (333a) can also output a warning if the medication order specified by voice differs from the type, amount, and flow rate of medication actually used.
  • the image recognition processing unit 332 may identify the medical professional engaged in the medical procedure using facial recognition technology from image data showing the face of the medical professional, or identify symptoms by comparing image data showing the patient's affected area with a database or a learning model generated by machine learning.
  • the keyword information storage unit 326 stores the keywords to be extracted (i.e., the keywords to be included in the record information) in advance
  • the recording processing unit 333 (333a) extracts the keywords to be included in the record information by comparing the text data converted from the sound data by the voice recognition processing unit 331 and the text data detected from the image data by the image recognition processing unit 332 with the keywords stored in the keyword information storage unit 326, but the present disclosure is not limited to such an example.
  • the recording processing unit 333 (333a) may extract keywords using a learning model that machine-learns the keywords to be included in the record information. In that case, each time a keyword is extracted and record information is created in the medical support system 1 (1a), the learning model may be updated using the record information as learning data. This can improve the accuracy of the learning model each time record information is created using the medical support system 1 (1a).
  • the timeline display of the recorded information is not limited to the examples described above.
  • the display may be appropriately devised to improve the visibility of the medical staff checking it.
  • the source of the keyword i.e., information indicating the speaker if the keyword is extracted from sound data, or the name of the device shown in the image if the keyword is extracted from image data
  • the keyword is extracted from sound data
  • information that can identify the speaker such as the speaker's name or nickname, or an icon or ID indicating the speaker
  • keywords may be categorized, and the keywords may be displayed in different colors for each category in the timeline display.
  • the keywords may be categorized into those related to vital signs (blood pressure, pulse, etc.), those related to drug names, those related to medical materials used in treatment, and the like, and the keywords may be displayed in different colors for each category.
  • the editing processing unit 335 searches for and outputs any information from the recorded information in response to an instruction from the user, the search may be possible for each category.
  • the user may be able to specify the period of the recorded information to be searched.
  • the user may specify a period for each category to search for and display desired information, such as a list of drugs used today or a list of medical devices used in the past year.
  • the categorization may be performed automatically by the recording processing unit 333 (333a).
  • the recording processing unit 333 (333a) may perform the categorization by checking against a predetermined dictionary, or may use machine learning.
  • each component of the above-mentioned medical support system 1 (1a, 1b) has an internal computer system. Then, a program for realizing the functions of each component of the above-mentioned medical support system 1 (1a, 1b) may be recorded on a computer-readable recording medium, and the program recorded on the recording medium may be read into a computer system and executed to perform processing in each component of the above-mentioned medical support system 1 (1a, 1b).
  • “reading a program recorded on a recording medium into a computer system and executing it” includes installing the program into a computer system.
  • “computer system” includes hardware such as the OS and peripheral devices.
  • a "computer system” may include multiple computer devices connected via a network, including communication lines such as the Internet, WAN, LAN, and dedicated lines.
  • a "computer-readable recording medium” refers to portable media such as flexible disks, optical magnetic disks, ROMs, and CD-ROMs, as well as storage devices such as hard disks built into a computer system. In this way, the recording medium that stores the program may be a non-transitory recording medium such as a CD-ROM.
  • the recording medium also includes an internal or external recording medium accessible from a distribution server to distribute the program.
  • the program may be divided into multiple parts, downloaded at different times, and then combined with each component of the medical support system 1 (1a, 1b) described above, or each divided program may be distributed by a different distribution server.
  • the term "computer-readable recording medium” includes a recording medium that holds a program for a certain period of time, such as a volatile memory (RAM) inside a computer system that becomes a server or client when a program is transmitted over a network.
  • the program may also be a recording medium for implementing part of the above-mentioned functions.
  • the program may be a so-called differential file (differential program) that can realize the above-mentioned functions in combination with a program already recorded in the computer system.

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