KR20230115719A - Remote cooperative medical care system and method - Google Patents

Abstract

According to an embodiment, in the remote consultation system including a cooperative medical institution server and a higher-level medical institution server located remotely from the cooperative medical institution server, the cooperative medical institution server determines whether or not remote consultation is performed through primary care of a visiting patient. After making a decision, a request for remote consultation is transmitted to the server of the higher level medical institution, and after receiving a remote consultation approval message, medical information of the patient is transmitted through remote imaging equipment and medical measurement equipment according to the request of the server of the higher level medical institution. The institution server verifies the remote consultation request received from the cooperative medical institution server, transmits the remote consultation approval message to the cooperative medical institution server, and transmits a medical information request message to the cooperative medical institution server approved for remote consultation. Provides a remote collaboration system that

Description

Remote cooperative medical care system and method

One embodiment of the present invention relates to a remote collaboration system and method.

Social consensus on the necessity of non-face-to-face treatment is being formed due to the periodic occurrence of infectious diseases imported from abroad, and the introduction of a full-fledged business model for telemedicine is accelerating, such as allowing remote medical treatment in areas other than medically vulnerable areas on a limited basis.

The telemedicine system, which had been limitedly introduced in the existing mountainous regions, military bases, and correctional facilities, had great spatial limitations in construction and also had quality problems.

However, with the development of communication technology and mobile devices, it has become possible to transmit/receive various high-definition/high-quality medical images without installing extra bulky equipment. In addition, there are an increasing number of cases in which mobile devices are used as a means of managing chronic diseases, and a platform that integrates and manages non-face-to-face consulting between patients and medical personnel and medical personnel by linking them with a remote medical treatment system is needed.

A technical problem to be achieved by the present invention is to provide a remote cooperation system and method capable of online cooperation between a medical facility lacking medical equipment and a superior medical institution.

In addition, to provide a remote consultation system and method capable of identifying symptoms before visiting a medical institution, reserving a schedule for visiting a medical institution, and managing abnormal symptoms through an application after the visit.

In addition, it is to provide a remote collaboration system and method capable of performing accurate and rapid non-face-to-face medical treatment between a medical staff and a patient through online high-resolution image transmission and medical measurement information transmission.

According to an embodiment, in the remote consultation system including a cooperative medical institution server and a higher-level medical institution server located remotely from the cooperative medical institution server, the cooperative medical institution server determines whether or not remote consultation is performed through primary care of a visiting patient. After making a decision, a request for remote consultation is transmitted to the server of the higher level medical institution, and after receiving a remote consultation approval message, medical information of the patient is transmitted through remote imaging equipment and medical measurement equipment according to the request of the server of the higher level medical institution. The institution server verifies the remote consultation request received from the cooperative medical institution server, transmits the remote consultation approval message to the cooperative medical institution server, and transmits a medical information request message to the cooperative medical institution server approved for remote consultation. Provides a remote collaboration system that

The cooperative medical institution server may perform the primary care through a learning model that has performed learning using patient attribute information.

The higher-level medical institution server may transmit a doctor's opinion and a prescription obtained by analyzing the received medical information of the patient in response to the medical information request message to the cooperative medical institution server.

The cooperating medical institution server may transmit a measurement result of the medical measurement equipment to the higher level medical institution server using the remote imaging device.

According to the embodiment, the step of determining whether or not remote consultation is performed through primary medical treatment of a visiting patient by a cooperative medical institution server and transmitting a request for remote consultation to the higher-level medical institution server; transmitting, by the higher-level medical institution server, a remote consultation approval message to the cooperative medical institution server after confirming the remote consultation request received from the cooperative medical institution server; receiving, by the cooperative medical institution server, the remote consultation approval message; transmitting, by the higher-level medical institution server, a medical information request message to the cooperative medical institution server for which remote collaboration is approved; transmitting, by the cooperative medical institution server, medical information of the patient through remote imaging equipment and medical measurement equipment according to a request of the higher-level medical institution server; and transmitting, by the higher level medical institution server, a doctor's opinion and a prescription obtained by analyzing the patient's medical information to the cooperative medical institution server.

The remote collaboration system and method according to the embodiment may perform online consultation between a medical facility lacking medical equipment and a superior medical institution.

In addition, symptoms can be identified before visiting a medical institution, a medical institution visit schedule can be reserved, and abnormal symptoms can be managed through an application after the visit.

In addition, accurate and rapid non-face-to-face medical treatment can be performed between medical staff and patients through online transmission of high-resolution images and medical measurement information.

1 is a conceptual diagram of a remote collaboration system according to an embodiment.
2 is a block diagram of a cooperative medical institution server according to an embodiment.
Fig. 3 is a block diagram of a high-level medical institution server according to an embodiment.
4 is a diagram for explaining the operation of the remote collaboration system according to the embodiment.
5 is a flowchart of a remote collaboration method according to an embodiment.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

However, the technical idea of the present invention is not limited to some of the described embodiments, but may be implemented in a variety of different forms, and if it is within the scope of the technical idea of the present invention, one or more of the components among the embodiments can be selectively implemented. can be used by combining and substituting.

In addition, terms (including technical and scientific terms) used in the embodiments of the present invention, unless explicitly specifically defined and described, can be generally understood by those of ordinary skill in the art to which the present invention belongs. It can be interpreted as meaning, and commonly used terms, such as terms defined in a dictionary, can be interpreted in consideration of contextual meanings of related technologies.

Also, terms used in the embodiments of the present invention are for describing the embodiments and are not intended to limit the present invention.

In this specification, the singular form may also include the plural form unless otherwise specified in the phrase, and when described as "at least one (or more than one) of A and (and) B and C", A, B, and C are combined. may include one or more of all possible combinations.

Also, terms such as first, second, A, B, (a), and (b) may be used to describe components of an embodiment of the present invention.

These terms are only used to distinguish the component from other components, and the term is not limited to the nature, order, or order of the corresponding component.

In addition, when a component is described as being 'connected', 'coupled' or 'connected' to another component, the component is not only directly connected to, combined with, or connected to the other component, but also with the component. It may also include the case of being 'connected', 'combined', or 'connected' due to another component between the other components.

In addition, when it is described as being formed or disposed on the "top (above) or bottom (bottom)" of each component, the top (top) or bottom (bottom) is not only a case where two components are in direct contact with each other, but also one A case in which another component above is formed or disposed between two components is also included. In addition, when expressed as "up (up) or down (down)", it may include the meaning of not only an upward direction but also a downward direction based on one component.

Hereinafter, the embodiments will be described in detail with reference to the accompanying drawings, but the same or corresponding components regardless of reference numerals are given the same reference numerals, and overlapping descriptions thereof will be omitted.

Fig. 1 is a conceptual diagram of a remote collaboration system according to an embodiment, Fig. 2 is a configuration block diagram of a cooperative medical institution server according to an embodiment, and Fig. 3 is a configuration block diagram of a superior medical institution server according to an embodiment.

1 to 3, the remote collaboration system 1 according to the embodiment may include a cooperative medical institution server 10 and a superior medical institution server 20 located remotely from the cooperative medical institution server 10. there is.

The cooperative medical institution server 10 is a server deployed in a specialized medical institution in a remote area such as rural, mountainous, island areas, etc., where access to professional medical services is low. can

The cooperative medical institution server 10 includes an input unit 11, a learning model unit 12, a communication unit 13, a remote imaging device 14, a medical measurement device 15, a docking station 16, and a database 17. can include

The cooperative medical institution server 10 determines whether or not remote consultation is performed through the primary care of the visiting patient, transmits a request for remote consultation to the higher level medical institution server 20, and after receiving the remote consultation approval message, the higher level medical institution server 20 According to the request of the patient, medical information of the patient may be transmitted through the remote imaging device 14 and the medical measurement device 15 .

The cooperative medical institution server 10 may have a database 17 that stores electronic medical record information including medical data, and matches medical result information received through the communication unit 13 with electronic medical record information. can be integrated and managed.

In addition, the cooperative medical institution server 10 further includes, in the database 17, the unique number for each medical device, the date of production or registration for each unique number of the medical device, and the number of tests performed on the medical device, etc. It can be configured to facilitate maintenance.

The database 17 may accumulate and store patient attribute information and medical measurement data and calculate statistical values. Medical measurement data is classified for each access port and each medical device and accumulated and stored for a certain period of time, and statistics may mean an average value or sum of power parameters for a certain period of time.

The cooperative medical institution server 10 may perform primary medical care through a learning model in which learning is performed using patient attribute information. The cooperative medical institution server 10 may automatically select the patient's medical department and reservation schedule using the primary treatment result and transmit the result to the patient's terminal. In addition, the cooperative medical institution server 10 may determine whether treatment is required at a higher level medical institution by using the primary medical treatment result, and transmit a request for remote consultation to the higher level medical institution server 20 if necessary.

The input unit 11 may receive input of patient attribute information. The patient's attribute information may include personal attributes, clinical attributes, examination attributes, and disease attributes. Personal attributes relate to the patient's personal information, and may include information such as gender, age, height, weight, department, country, smoking, drinking, coffee, exercise, and sleeping hours necessary for clinical decision-making. there is. Clinical attributes are information about tests performed for diagnosis or treatment of patients, and may include hematological information, serological information, biochemical information, physiological information, bacteriological information, urinary fecal information, image information, etc. . Examination properties may include numerical information about various examinations received by the patient. The disease attribute may include information about a disease possessed by a patient.

The learning model unit 12 may learn a correlation between the patient's attribute information and treatment cases, determine similar treatment cases from the received patient's attribute information, and output them as primary medical examination results.

The deep learning model can extract probable similar patient cases from input patient attribute information, and through this, the medical treatment result corresponding to the patient attribute information can be output as the primary medical examination result.

That is, the deep learning model, when patient attribute information is input, compares attribute information weighted for each attribute with pre-learned patient case information and extracts similar cases. In this case, the pre-learned information may include patient information of other medical institutions that have an agreement in addition to patient information of a specific medical institution, and patient information may also be included in an integrated server operated by a plurality of medical institutions.

4 is a diagram for explaining the operation of the remote collaboration system according to the embodiment.

Referring to FIG. 4 together, in the embodiment, the learning model unit 12 is a technology capable of pre-screening a disease similar to the patient's symptoms before treatment, and the learning model unit (12) 12) helps you to search for and apply for related hospitals by querying and predicting. Artificial intelligence-based paperweight technology is an A.I. Before visiting the hospital with the symptom check engine, based on the user's symptoms, the user's medical records are searched for similar diseases and medical records of recommended individuals, and mobile and telecom devices deliver patient information, pre-questionnaire information, and symptom information in connection with the hospital's medical information system. It may be a bullet-based treatment support solution.

When a patient enters information, the learning model unit 12 derives symptoms related to AI, which has learned about 500,000 cases of medical knowledge data such as medical practical tests and about 13 million cases of insurance claim data for the last 3 years, It is recommended to, and it can provide similar disease information through semantic inference through a series of processes.

In addition, the learning model unit 12 may derive a result value by applying unsupervised learning (K-means++) that predicts possible diseases based on the patient's symptoms and additional medical examination results.

This artificial intelligence technology can be implemented by closely replicating a decision-making model that treats patients based on medical examinations, and can be designed to guide a person to find a suitable department by providing information about the department dealing with the disease.

The learning model unit 12 may be configured to include preliminary questionnaire contents for enhancing the AI questionnaire algorithm, and may include a dictionary questionnaire algorithm reinforced through learning of the symptom check engine.

For example, the learning model unit 12 outputs the result of the urology pre-interview when the patient's attribute information is input through learning, and provides primary care results including physical symptoms, urinary related, and prostatic hypertrophy suspected information as detailed information. can be printed out.

Alternatively, the learning model unit 12, through learning, outputs the result of a prior medical examination for respiratory medicine when the patient's attribute information is input, and provides primary medical care results including physical symptoms, respiratory tract related information, and suspected COVID-19 symptoms as detailed information. can be printed out.

Alternatively, the learning model unit 12, through learning, outputs the results of the elderly depression scale pre-interview when the patient's attribute information is input, and as detailed information, primary care results including psychological symptoms, depression-related information, and Korean version of elderly depression suspicion information. can output

Alternatively, the learning model unit 12 may output the result of a preliminary medical examination for alcoholism when the patient's attribute information is input through learning, and output primary care results including psychological symptoms and Korean alcoholism suspicion information as detailed information. there is.

Alternatively, the learning model unit 12 may output a preliminary medical examination result of a fatigue symptom scale when inputting attribute information of a patient through learning, and may output a primary care result including physical symptoms and fatigue symptom information as detailed information. .

Alternatively, the learning model unit 12 outputs the result of the dementia scale preliminary questionnaire when the patient's attribute information is input through learning, and outputs the primary care result including psychological symptoms, depression, and elderly depression suspected information as detailed information. can

In addition, the learning model unit 12 may provide a hospital recommendation and reservation function according to the AI pre-interview technology and the result of the medical examination. The learning model unit 12 may include a voice recognition-based preliminary medical examination technology and a self-diagnostic preliminary medical examination technology, and may provide a medical service through a chat service when a doctor consultation on symptoms is required.

In addition, the learning model unit 12 may be designed to be interlocked with a non-face-to-face image monitoring technology through the remote image equipment 14 through pre-interview data collection.

The learning model unit 12 may use hospital general information, pharmacy general information, hospital cost information, doctor information, medical encyclopedia (disease/drug/examination) information, and the like as learning data. In addition, it is possible to learn together with the preliminary questionnaire data composed through professional medical staff and medical institution workers.

The cooperative medical institution server 10 may transmit the measurement results of the medical measurement equipment 15 to the higher level medical institution server 20 using the remote video equipment 14 .

The cooperative medical institution server 10 according to the embodiment may operate in conjunction with the remote imaging device 14 and the medical measurement device 15 . The remote imaging device 14 may be configured to be portable, and when mounted on a docking station disposed in a cooperative medical institution, it may interwork with the cooperative medical institution server 10 and the medical measurement equipment 15 through a plug-and-play operation. .

The docking station may be equipped with a plurality of ports corresponding to the remote imaging device 14, a plurality of medical measurement devices 15, and a hospital server. The plurality of ports include a parallel interface unit, a serial interface unit, a USB interface unit, a DICOM interface unit, an external memory interface unit, an analog video interface unit, and a wireless communication module unit, and each interface unit is configured to have at least one port. It can be.

The remote imaging device 14 may photograph a patient, medical staff, or medical measuring device 15, generate image information including video and audio, and transmit the image information to the communication unit 13 in real time.

The remote imaging device 14 may include a display capable of displaying image data received from the server 20 of a higher level medical institution and various data. The display receives image data from the advanced medical institution server 20 and displays it in real time, so that the practitioner can conduct real-time consultation with a remote medical expert.

The medical measuring equipment 15 is, for example, a medical imaging device that photographs the patient's body and organs, an electrocardiogram measuring device, a blood pressure measuring device, etc. It may include clinical devices that measure and analyze the levels of various elements in samples collected or obtained from nature.

In addition, the medical measuring device 15 may further include one of a blood tester, a medical scope, a stress monitor, a psychotherapy device, a blood pressure monitor, a body fat gauge, a blood sugar gauge, and a thermometer. In addition, the medical measurement equipment may mean an electronic device capable of measuring various bio-signals of a user, and may mean a wearable type device that is directly worn on a user's body, such as a built-in type of clothing or a belt.

The medical measurement device 15 may measure a user's bio-signal using various devices and transmit medical measurement data generated accordingly to the communication unit 13 .

The communication unit 13 may perform wireless communication with the higher level medical institution server 20 . The communication unit 13 is, for example, LTE (long-term evolution), LTE-A (LTE Advance), CDMA (code division multiple access), WCDMA (wideband CDMA), UMTS (universal mobile telecommunications system), WiBro (Wireless Broadband) or GSM (global system for mobile communications), and the like, may be configured to include at least one communication module.

In addition, the communication unit 13 may receive a doctor's opinion and a prescription from the higher level medical institution server 20 . Physician's opinion and prescription may include a variety of official or unofficial content about medical measurement data, such as a medical professional's personal opinion or prescription opinion.

The advanced medical institution server 20 may include a communication unit 21 , a remote imaging device 22 , and a docking station 23 .

The higher level medical institution server 20 verifies the remote consultation request received from the cooperative medical institution server, transmits a remote consultation approval message to the cooperative medical institution server, and transmits a medical information request message to the cooperative medical institution server approved for remote consultation. can

In addition, the higher level medical institution server 20 may transmit a doctor's opinion and a prescription obtained by analyzing the received medical information of the patient in response to the medical information request message to the cooperative medical institution server.

The higher-level medical institution server 20 may transmit a remote consultation approval message to the cooperative medical institution server after confirming the request for remote consultation received from the cooperative medical institution server. The higher level medical institution server 20 may transmit a message to the cooperative medical institution server after determining whether remote consultation is possible in response to the request for remote consultation.

Also, the communication unit 21 of the higher level medical institution server 20 may perform wireless communication with the cooperative medical institution server. The communication unit 21 is, for example, LTE (long-term evolution), LTE-A (LTE Advance), CDMA (code division multiple access), WCDMA (wideband CDMA), UMTS (universal mobile telecommunications system), WiBro (Wireless Broadband) or GSM (global system for mobile communications), and the like, may be configured to include at least one communication module.

In addition, the higher level medical institution server 20 may transmit image data for performing remote video medical treatment with a cooperative medical institution server using the remote video equipment 22 .

The advanced medical institution server 20 according to the embodiment may operate in conjunction with the remote video equipment 22 . The remote imaging device 22 may be configured to be portable, and when mounted on the docking station 23 disposed in a higher level medical institution, it may interwork with the higher level medical institution server 20 and medical measurement equipment through a plug-and-play operation. .

The docking station 23 may include a plurality of ports corresponding to the remote imaging device 22, a plurality of medical measurement devices, and a hospital server. The plurality of ports include a parallel interface unit, a serial interface unit, a USB interface unit, a DICOM interface unit, an external memory interface unit, an analog video interface unit, and a wireless communication module unit, and each interface unit is configured to have at least one port. It can be.

The remote imaging device 22 may photograph a patient, medical staff, or medical measuring device, generate image information including video and audio, and transmit the image information to the communication unit 21 in real time.

The remote imaging device 22 may include a display capable of displaying image data received from a cooperative medical institution server and various data. The display receives image data from the server of the cooperative medical institution and displays it in real time, so that the practitioner can conduct real-time consultation with a remote medical expert.

The remote cooperative system according to the embodiment provides high-quality non-face-to-face medical care in medically vulnerable areas or infection-risk areas in order to eliminate medical blind spots, reduce the burden of medical expenses, and improve the convenience of patients and guardians, such as screening clinics and the public and medical institutions when diseases such as infectious diseases are prevalent. Services can be designed to be utilized. The remote collaboration system can provide on-site video communication-based non-face-to-face medical support medical services by converging commercially available tablet terminals and V2oIP (Voice and Video over Internet Protocol) software.

The remote collaboration system according to the embodiment is a non-face-to-face treatment system that can be moved in various types of medically vulnerable areas such as screening clinics and public health centers, providing untact throughout the entire cycle of treatment (Pre-Hospital, On-Hospital, After-Hospital). We can support non-face-to-face treatment.

In the embodiment, Pre-Hospital includes a processor that pre-confirms a patient's medical history through an AI-based medical examination system, On-Hospital includes a non-face-to-face remote consultation process using a high-resolution video docking station, and After-Hospital may include a follow-up management and monitoring process through a non-face-to-face treatment support system.

In addition, through the docking system for interlocking IoMT and high-resolution images, it is possible to select the exact position of the patient's affected part in a remote high-level medical institution, and it is possible to provide high-resolution images that can be delivered without screen enlargement and distortion of the patient's image.

In addition, it is possible to support non-face-to-face treatment by linking various medical images to a tablet PC through a docking station for linking IoMT (Internet of Medical Things)-based medical measurement equipment.

The remote cooperative system according to the embodiment is applied with AI medical diagnosis-assisted guidance technology based on AI questionnaire, so the health insurance review and assessment service's big data-based AI questionnaire and IoMT interlocking technology are used to quickly identify the patient's health abnormality through linkage with medical devices. Therefore, it is possible to provide a diagnosis-assisted guidance service that can help medical staff in decision-making.

In addition, through the smartphone application, patients can receive non-face-to-face post-management services even after treatment, and continuously receive services such as AI questionnaires, medical appointments, and non-face-to-face medical treatment.

First, the cooperative medical institution server may determine whether remote consultation is performed through the primary care of the visiting patient, and transmit a request for remote consultation to the higher-level medical institution server. The cooperative medical institution server may automatically select the patient's medical department and reservation schedule using the primary medical treatment result and transmit the result to the patient's terminal. In addition, the cooperative medical institution server may use the primary medical treatment result to determine whether treatment is necessary at a higher level medical institution and, if necessary, transmit a request for remote consultation to the higher level medical institution server (S501).

Next, the higher-level medical institution server may transmit a remote collaboration approval message to the cooperative medical institution server after confirming the request for remote consultation received from the cooperative medical institution server. After determining whether remote consultation is possible in response to the request for remote consultation, the higher-level medical institution server may transmit a message to the cooperative medical institution server (S502).

The cooperative medical institution server may receive the remote collaboration approval message.

Next, the higher-level medical institution server may transmit a medical information request message to a cooperative medical institution server approved for remote collaboration. The medical information request message may be a message including a request for patient image information, medical measurement information, and the like (S503).

Next, the cooperative medical institution server may transmit medical information of the patient through the remote imaging device and the medical measurement device according to the request of the higher level medical institution server (S504).

In this case, the remote video equipment of the cooperative medical institution's server and the tertiary medical institution's server can each photograph a patient, medical staff or medical measurement equipment, generate video information including video and audio, and transmit it to the other party in real time. In addition, the medical measurement equipment of the cooperative medical institution server may measure the bio-signal of the user using various devices and transmit the medical measurement data generated accordingly to the higher-level medical institution server.

Next, the higher-level medical institution server may transmit the doctor's opinion and prescription, which have analyzed the patient's medical information, to the cooperative medical institution server (S505).

The term '~unit' used in this embodiment means software or a hardware component such as a field-programmable gate array (FPGA) or ASIC, and '~unit' performs certain roles. However, '~ part' is not limited to software or hardware. '~bu' may be configured to be in an addressable storage medium and may be configured to reproduce one or more processors. Therefore, as an example, '~unit' refers to components such as software components, object-oriented software components, class components, and task components, processes, functions, properties, and procedures. , subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays, and variables. Functions provided within components and '~units' may be combined into smaller numbers of components and '~units' or further separated into additional components and '~units'. In addition, components and '~units' may be implemented to play one or more CPUs in a device or a secure multimedia card.

Although the above has been described with reference to preferred embodiments of the present invention, those skilled in the art will variously modify and change the present invention within the scope not departing from the spirit and scope of the present invention described in the claims below. You will understand that it can be done.

10: Partner medical institution server
11: input unit
12: learning model unit
13: Ministry of Communications
14: remote video equipment
15: medical measuring equipment
16: docking station
17: database
20: Senior Medical Institution Server

Claims (5)

In the remote collaboration system including a cooperative medical institution server and a superior medical institution server located remotely from the cooperative medical institution server,
The cooperating medical institution server determines whether or not remote consultation is performed through the primary medical treatment of the visiting patient, transmits a request for remote consultation to the higher-level medical institution server, and after receiving a remote consultation approval message, remote video consultation according to the request of the higher-level medical institution server. Transmitting patient's medical information through equipment and medical measuring equipment;
The higher-level medical institution server verifies the remote consultation request received from the cooperative medical institution server, transmits the remote consultation approval message to the cooperative medical institution server, and requests medical information from the cooperative medical institution server approved for remote consultation. A remote collaboration system that transmits messages.
According to claim 1,
The cooperative medical institution server performs the primary care through a learning model that has performed learning using patient attribute information.
According to claim 1,
The remote collaboration system of claim 1 , wherein the higher level medical institution server transmits a doctor's opinion and a prescription obtained by analyzing the received medical information of the patient in response to the medical information request message to the cooperative medical institution server.
According to claim 1,
The cooperative medical institution server transmits a measurement result of the medical measurement equipment to the higher-level medical institution server using the remote video equipment.
A cooperative medical institution server determining whether or not remote consultation is performed through primary care of a visiting patient and transmitting a request for remote consultation to the higher-level medical institution server;
transmitting, by the higher-level medical institution server, a remote consultation approval message to the cooperative medical institution server after confirming the remote consultation request received from the cooperative medical institution server;
receiving, by the cooperative medical institution server, the remote consultation approval message;
transmitting, by the higher-level medical institution server, a medical information request message to the cooperative medical institution server for which remote collaboration is approved;
transmitting, by the cooperative medical institution server, medical information of the patient through remote imaging equipment and medical measurement equipment according to a request of the higher-level medical institution server; and
and transmitting, by the higher level medical institution server, a doctor's opinion and a prescription obtained by analyzing the patient's medical information to the cooperative medical institution server.

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