WO2024038932A1 - 심전도 판독 서비스 제공 방법 - Google Patents
심전도 판독 서비스 제공 방법 Download PDFInfo
- Publication number
- WO2024038932A1 WO2024038932A1 PCT/KR2022/012368 KR2022012368W WO2024038932A1 WO 2024038932 A1 WO2024038932 A1 WO 2024038932A1 KR 2022012368 W KR2022012368 W KR 2022012368W WO 2024038932 A1 WO2024038932 A1 WO 2024038932A1
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- WIPO (PCT)
- Prior art keywords
- ecg
- reading
- data
- service
- electrocardiogram
- Prior art date
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- 238000000034 method Methods 0.000 title claims abstract description 20
- 230000004044 response Effects 0.000 claims abstract description 4
- 238000002565 electrocardiography Methods 0.000 description 117
- 238000004364 calculation method Methods 0.000 description 5
- 201000010099 disease Diseases 0.000 description 5
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 5
- 208000019622 heart disease Diseases 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 238000012360 testing method Methods 0.000 description 3
- 238000013473 artificial intelligence Methods 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 230000003111 delayed effect Effects 0.000 description 2
- 238000002583 angiography Methods 0.000 description 1
- 206010003119 arrhythmia Diseases 0.000 description 1
- 230000006793 arrhythmia Effects 0.000 description 1
- 238000009534 blood test Methods 0.000 description 1
- 210000000038 chest Anatomy 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000002592 echocardiography Methods 0.000 description 1
- 230000002526 effect on cardiovascular system Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 229940124645 emergency medicine Drugs 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 230000003862 health status Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 208000010125 myocardial infarction Diseases 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000001356 surgical procedure Methods 0.000 description 1
- 210000000115 thoracic cavity Anatomy 0.000 description 1
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Classifications
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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
- G16H40/60—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 for the operation of medical equipment or devices
- G16H40/63—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 for the operation of medical equipment or devices for local operation
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/318—Heart-related electrical modalities, e.g. electrocardiography [ECG]
- A61B5/346—Analysis of electrocardiograms
-
- 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
- G16H40/20—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 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
-
- 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
- G16H40/60—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 for the operation of medical equipment or devices
- G16H40/67—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 for the operation of medical equipment or devices for remote operation
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
-
- 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
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
Definitions
- the present invention relates to a method of providing an electrocardiogram reading service.
- the first reading result is obtained from the electrocardiogram data received from the client through an artificial intelligence algorithm, and the electrocardiogram data and the first reading result are delivered to the medical staff to provide a final It relates to a method of providing an electrocardiogram reading service that provides reading results.
- An electrocardiogram is a graphical recording of potentials related to heartbeat on the surface of the body.
- Electrocardiogram is used for examination and diagnosis of circulatory diseases and has the advantages of being simple, relatively inexpensive, non-invasive, and easily repeatable recording.
- the standard 12-lead electrocardiogram used in hospitals attaches 6 electrodes to the front of the chest and 3 electrodes to each limb (4 electrodes if you include the ground electrode), then collects all 12-lead information and synthesizes it. Diagnose disease.
- a 12-lead electrocardiogram records the heart's potential in 12 electrical directions centered on the heart, and through this, heart disease limited to one area can be accurately read.
- Electrocardiogram is an important test that can diagnose serious diseases such as myocardial infarction and arrhythmia. It is an inexpensive, non-invasive, quick and easy test that takes 10 seconds to check basic heart disease conditions, so it is used for general treatment, hospitalization, and surgery. It is widely used for basic city inspections and health checkups.
- ECG reading ability is not simply learned through books, but is learned experientially by treating patients with heart disease, measuring ECGs, and performing various confirmatory tests such as actual echocardiography, cardiovascular angiography, and blood tests. Therefore, it is difficult to accurately read an electrocardiogram unless you are a cardiologist, thoracic surgeon, or emergency medicine medical staff member who continuously sees patients with heart disease.
- the electrocardiogram has been read using an automatic reading algorithm, but due to the principle-based nature of the reading, accuracy may be reduced due to external factors such as noise, and due to the limitations of the algorithm, it cannot reflect the patient's health status at the time and subtle changes in the electrocardiogram. There was a problem that could not be captured.
- a method of providing an ECG reading service in which a primary reading result is obtained from the ECG data received from the client through an artificial intelligence algorithm, and the ECG data and the primary reading result are delivered to the medical staff to provide a final reading result. It is intended to provide.
- a method of providing an ECG reading service using an ECG reading service providing system includes the steps of receiving an ECG reading request signal and ECG data from a client terminal, according to the received ECG reading request signal. Inputting the received ECG data into an ECG reading model to output first ECG reading data; upon receiving an ECG additional request signal from the client, transmitting the first ECG reading data to a medical practitioner terminal including a designated specialist; Obtaining second ECG reading data, calculating a fee according to the scope of ECG reading service provision, and delivering the first ECG reading data or second ECG reading data and the calculated fee to the client terminal. Includes.
- the step of receiving the ECG data may include receiving unstructured ECG data or an ECG metadata file including an ECG picture file, a photo file taken with a portable device, etc.
- the first ECG reading data is transmitted to the terminals of medical personnel, nurses, clinical pathologists, and emergency medical technicians, including cardiologists at cooperative designated hospitals, to perform a provisional reading.
- the final ECG reading data can be obtained by transmitting the tentatively read ECG data to a terminal of medical personnel, including a cardiologist, who can read the data at the current time.
- the method may further include providing information on a service provision range according to the received ECG reading request signal and receiving service request information from the client in response to the service provision range.
- the information on the scope of service provision may include at least one of the following: ECG reading level, reading waiting time, reading accuracy, list of medical staff performing the reading, and distance between the reading center and the requester.
- FIG. 1 is a diagram for explaining an electrocardiogram reading service providing system according to an embodiment of the present invention.
- FIG. 2 is a configuration diagram for explaining the read server shown in FIG. 1.
- FIG. 3 is a flowchart illustrating a method of providing an ECG reading service using an ECG reading service providing system according to an embodiment of the present invention.
- FIG. 1 is a diagram for explaining an electrocardiogram reading service providing system according to an embodiment of the present invention.
- the ECG reading service providing system includes a client terminal 100, a medical practitioner terminal 200, and a reading server 300.
- the client terminal 100 transmits an ECG reading request while running the app or web page provided by the reading server 300 and uploads the ECG data to be read.
- the client terminal 100 can receive information about the service provision range for ECG reading from the reading server 300, and the client can additionally enter a request for ECG reading according to the service provision range. .
- the client terminal 100 receives the ECG reading results upon completion of the reading.
- the medical personnel terminal 200 is a terminal used by medical personnel, including cardiologists, and transmits the reading results input by medical personnel, including cardiologists, to the reading server 300, which will be described later. Then, when the reading is completed, the medical personnel terminal 200, including a cardiologist, requests a fee and receives the requested fee through a virtual account.
- the reading server 300 when the reading server 300 receives an ECG reading request signal from the client terminal 100, it provides information on the reading service provision range and receives the corresponding service request information and ECG data.
- the reading server 300 delivers first ECG reading data or second ECG reading data to the corresponding client terminal 100 for the input ECG data according to the input service request information.
- the reading server 300 calculates the fee for the ECG service and transmits the calculated fee to the client terminal 100 for input.
- FIG. 2 is a configuration diagram for explaining the reading server 300 shown in FIG. 1.
- the reading server 300 includes a communication unit 310, a data collection unit 320, a learning unit 330, an electrocardiogram reading unit 340, and a fee calculation unit ( 350) and an output unit 360.
- the communication unit 310 communicates with the client terminal 100 and the medical personnel terminal 200, including a cardiologist, and receives an ECG reading request signal and ECG data from the client terminal 100. Additionally, the communication unit 310 transmits the received ECG data to the medical personnel terminal 200, including a cardiologist, and receives ECG reading data from the medical personnel terminal 200, including a cardiologist.
- the data collection unit 320 collects ECG reading data that has been read by medical personnel, including cardiologists.
- the collected electrocardiogram reading data includes at least one of the patient's gender, age, and diagnosed heart disease information.
- the collected ECG reading data is transmitted to the learning unit 330, and the learning unit 330 inputs ECG data randomly extracted from the received ECG reading data into a pre-built ECG reading model and trains it.
- the ECG reading unit 340 acquires first ECG reading data by inputting the received ECG data into the learned ECG reading model.
- the ECG reading unit 340 transmits the first ECG reading data to the medical personnel terminal 200, including a cardiologist, and then receives the first ECG reading data from the medical personnel terminal 200, including the cardiologist. The second ECG reading data is received.
- the fee calculation unit 350 determines whether only the first ECG reading data or the second ECG reading data was also requested from the client. Then, the calculation unit 350 calculates different fees according to the judgment result.
- the output unit 360 transmits the read first ECG reading data or second ECG reading data and the calculated fee information to the client terminal 100.
- FIG. 3 is a flowchart illustrating a method of providing an ECG reading service using an ECG reading service providing system according to an embodiment of the present invention.
- the client accesses an app or web page provided by the reading server 300 through the terminal 100. Then, the client uploads the ECG data to be read through the terminal 100 and transmits an ECG reading request signal (S210).
- the ECG data may be unstructured ECG data including an ECG picture file, a photo file taken with a portable device, or an ECG metadata file.
- the reading server 300 inputs the received ECG data into the learned ECG reading model to obtain first ECG reading data (S320).
- the reading server 300 collects ECG reading data that has been read. Then, the learning unit 330 of the reading server 300 inputs the collected ECG reading data into a previously constructed ECG reading model and trains it.
- the ECG reading unit 340 inputs the received ECG data into the ECG reading model to obtain first ECG reading data.
- the reading server 300 additionally provides information about the service provision range to the client terminal 100 and receives service request information from the client terminal 100 in response to the service provision range (S330).
- Information on the scope of service provision includes at least one of the following: ECG reading level, reading waiting time, reading accuracy, list of medical staff performing the reading, and distance between the reading center and the requester.
- the ECG reading information indicates whether to read only up to the first ECG read data or up to the second read data.
- the output unit 360 transmits the first ECG reading data to the client terminal 100.
- the ECG reading unit 340 transmits the first ECG reading data to the medical personnel terminal 200, including a cardiologist, to perform a second ECG reading. Acquire data (S340).
- the ECG reading unit 340 extracts medical personnel terminals 200, including cardiologists, that can read at the current time, and transmits an ECG reading request to the medical personnel terminals 200, including the extracted cardiologist. Then, the ECG reading unit 340 transmits the first ECG reading data to the medical personnel terminal 200, including the cardiologist, who transmitted the ECG reading acceptance signal.
- the terminals of medical personnel including cardiologists, nurses, clinical pathologists, and emergency medical technicians at designated hospitals cooperated before generating second ECG reading data using the first ECG reading data received by medical personnel, including cardiologists.
- the first ECG reading data is transmitted to perform a provisional reading.
- the ECG reading unit 340 transmits the first ECG reading data and the provisionally read ECG reading data to the cardiologist terminal 200, allowing medical personnel, including cardiologists, to generate final ECG reading data. Let's do it.
- the fee calculation unit 350 calculates the fee according to the service provision range (S350).
- the fee for the first ECG reading data is free or set at a cheaper price than the second reading data.
- the fee calculation unit 350 calculates a fee based on the preset price.
- the output unit 360 transmits the first ECG reading data or the second ECG reading data and the calculated fee to the client terminal 100.
- the method of providing an ECG reading service using the ECG reading service providing system according to the present invention can reduce the cost and time incurred by unnecessary visits to the hospital due to ECG misreading, and disease can be missed and treatment prevented due to misreading. Delayed death can be prevented.
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Abstract
Description
Claims (6)
- 심전도 판독 서비스 제공 시스템을 이용한 심전도 판독 서비스 제공 방법에 있어서,의뢰인 단말로부터 심전도 판독 요청 신호 및 심전도 데이터를 수신받는 단계,상기 수신된 심전도 판독 요청 신호에 따라 수신된 심전도 데이터를 심전도 판독 모델에 입력하여 제1차 심전도 판독 데이터를 출력하는 단계,상기 의뢰인으로부터 심전도 추가 요청 신호를 수신하면, 상기 제1차 심전도 판독 데이터를 지정된 전문의를 포함한 의료인 단말에 전송하여 제2차 심전도 판독 데이터를 획득하는 단계,심전도 판독 서비스 제공 범위에 따라 수임료를 산정하는 단계, 그리고상기 제 1차 심전도 판독 데이터 또는 제2차 심전도 판독 데이터와 산정된 수임료를 의뢰인 단말에 전달하는 단계를 포함하는 심전도 판독 서비스 제공 방법.
- 제1항에 있어서,판독이 완료된 심전도 데이터를 수집하고, 상기 수집된 심전도 데이터를 기 구축된 심전도 판독 모델에 입력하여 학습시키는 단계를 더 포함하는 심전도 판독 서비스 제공 방법.
- 제1항에 있어서,상기 심전도 데이터를 수신받는 단계는,심전도 그림파일, 휴대용 기기로 촬영된 사진 파일 등을 포함하는 비정형 심전도 데이터 또는 심전도 메타데이터 파일을 수신받을 수도 있는 심전도 판독 서비스 제공 방법.
- 제1항에 있어서,상기 제2차 심전도 판독 데이터를 획득하는 단계는,협력된 지정 병원의 심장 전문의를 포함한 의료인, 간호사, 임상병리사 및 응급구조사의 단말에 제1차 심전도 판독 데이터를 전달하여 가판독을 수행하게 한 다음,가판독된 심전도 데이터를 현재 시점에서 판독이 가능한 심장 전문의를 포함한 의료인 단말에 전달하여 최종 심전도 판독 데이터를 획득하는 심전도 판독 서비스 제공 방법.
- 제1항에 있어서,상기 수신된 심전도 판독 요청 신호에 따라 서비스 제공 범위에 대한 정보를 제공하고, 상기 서비스 제공 범위에 대응하여 의뢰인으로부터 서비스 요청 정보를 수신받는 단계를 더 포함하는 심전도 판독 서비스 제공 방법.
- 제5항에 있어서,상기 서비스 제공 범위에 대한 정보는,심전도 판독 정도, 판독 대기시간, 판독 정확도, 판독하는 의료진 목록, 판독센터와 의뢰자 사이의 거리 중에서 적어도 하나의 정보를 포함하는 판독 서비스 제공 방법.
Priority Applications (3)
Application Number | Priority Date | Filing Date | Title |
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EP22953378.1A EP4371493A1 (en) | 2022-08-18 | 2022-08-18 | Method for ecg reading service providing |
CN202280059901.0A CN117940070A (zh) | 2022-08-18 | 2022-08-18 | 心电图判读服务提供方法 |
PCT/KR2022/012368 WO2024038932A1 (ko) | 2022-08-18 | 2022-08-18 | 심전도 판독 서비스 제공 방법 |
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PCT/KR2022/012368 WO2024038932A1 (ko) | 2022-08-18 | 2022-08-18 | 심전도 판독 서비스 제공 방법 |
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WO2024038932A1 true WO2024038932A1 (ko) | 2024-02-22 |
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EP (1) | EP4371493A1 (ko) |
CN (1) | CN117940070A (ko) |
WO (1) | WO2024038932A1 (ko) |
Citations (6)
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JP2004298444A (ja) * | 2003-03-31 | 2004-10-28 | Nippon Koden Corp | ホルター心電図の予備解析装置と解析方法及びそれを用いた解析支援システム |
JP2004358052A (ja) * | 2003-06-06 | 2004-12-24 | Hitachi Maxell Ltd | 家庭用健康管理システム |
JP2011062367A (ja) * | 2009-09-17 | 2011-03-31 | Fukuda Denshi Co Ltd | 医療情報サービス提供装置 |
KR20220008447A (ko) | 2020-07-14 | 2022-01-21 | 주식회사 바디프랜드 | 딥러닝 기반 심전도를 이용한 심장 질환 진단 장치 및 그 방법 |
KR20220097585A (ko) * | 2020-12-30 | 2022-07-08 | (주)엔티엘헬스케어 | 인공지능 기반의 자궁경부암 검진 서비스 시스템 |
KR20230025964A (ko) * | 2021-08-17 | 2023-02-24 | 주식회사 메디컬에이아이 | 심전도 판독 서비스 제공 방법 |
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2022
- 2022-08-18 WO PCT/KR2022/012368 patent/WO2024038932A1/ko active Application Filing
- 2022-08-18 EP EP22953378.1A patent/EP4371493A1/en active Pending
- 2022-08-18 CN CN202280059901.0A patent/CN117940070A/zh active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
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JP2004298444A (ja) * | 2003-03-31 | 2004-10-28 | Nippon Koden Corp | ホルター心電図の予備解析装置と解析方法及びそれを用いた解析支援システム |
JP2004358052A (ja) * | 2003-06-06 | 2004-12-24 | Hitachi Maxell Ltd | 家庭用健康管理システム |
JP2011062367A (ja) * | 2009-09-17 | 2011-03-31 | Fukuda Denshi Co Ltd | 医療情報サービス提供装置 |
KR20220008447A (ko) | 2020-07-14 | 2022-01-21 | 주식회사 바디프랜드 | 딥러닝 기반 심전도를 이용한 심장 질환 진단 장치 및 그 방법 |
KR20220097585A (ko) * | 2020-12-30 | 2022-07-08 | (주)엔티엘헬스케어 | 인공지능 기반의 자궁경부암 검진 서비스 시스템 |
KR20230025964A (ko) * | 2021-08-17 | 2023-02-24 | 주식회사 메디컬에이아이 | 심전도 판독 서비스 제공 방법 |
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Publication number | Publication date |
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EP4371493A1 (en) | 2024-05-22 |
CN117940070A (zh) | 2024-04-26 |
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