Methods, systems, computer-readable recording media, programs

Abstract

One or more embodiments are a method, and the measuring device is We obtain vital data related to cardiovascular rhythms, The vital data is transmitted to the analyst's terminal or device. The analyst's terminal generates supplementary medical information, links the vital data with the supplementary information, and transmits it to the device. The device or the analyst's terminal transmits vital data, supplementary information, and information about the person being measured to the healthcare professional's terminal. Provide a method.

Description

Technical Field

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[0001] The present invention relates to a method, an apparatus, and a system.

Background Art

[0002] The statements in this section only provide background information related to the present disclosure and do not necessarily constitute prior art.

[0003] Patent Document 1 discloses container-type medical facilities.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] However, the inventor recognized that at least the above-described embodiment has a disadvantage in that it does not have a configuration for acquiring vital data and for the analyzer's terminal to transmit medical-related attachment information.

Means for Solving the Problems

[0006] <00000​​​​​​​​​​​​​​​​​​​

[0007] This configuration has the advantage of allowing the supplementary information created by the analyst to be quickly communicated to healthcare professionals and patients involved in treatment.

[0008] These and other aspects, features, and advantages of the Disclosure will become apparent from the following detailed written description of preferred embodiments and aspects taken in conjunction with the following drawings, but variations and modifications thereof may be implemented without departing from the spirit and scope of the novel concepts of the Disclosure. An aspect of one embodiment in the Disclosure may be combined with or replaced by one or more aspects of another embodiment disclosed herein, insofar as they do not conflict. [Brief explanation of the drawing]

[0009] [Figure 1] Block diagram according to one or more embodiments [Figure 2] Flowchart according to one or more embodiments [Figure 3] Figure showing the power spectrum according to one or more embodiments. [Figure 4] Explanatory diagram according to one or more embodiments [Figure 5] Block diagram according to one or more embodiments [Figure 6] End flowchart according to one or more embodiments [Figure 7] Flowchart according to one or more embodiments [Figure 8] Conceptual diagram according to one or more embodiments [Figure 9] Conceptual diagram according to one or more embodiments [Modes for carrying out the invention]

[0010] The following disclosure provides many different embodiments and examples for carrying out different features of the presented subject matter. For the sake of simplicity, specific examples of components and arrangements are disclosed below. Of course, these are merely examples and are not intended to be limiting. For example, a structure in which a first feature is covered by or in contact with a second feature subsequently disclosed may include embodiments in which an additional feature is formed between the first and second features so that they do not come into direct contact, as well as embodiments in which the first and second features are formed so that they do not come into direct contact. Furthermore, the disclosure may repeat reference numbers and / or letters in various examples. This repetition is for the sake of brevity and clarity and does not require in itself to be related to the various embodiments and / or configurations described. Furthermore, when describing the first element as being "connected" or "joined" to the second element, such description includes embodiments in which the first and second elements are directly connected or joined to each other, as well as embodiments in which the first and second elements are indirectly connected or joined to each other by having one or more other elements interposed between them.

[0011] As used herein, the phrase "at least one of" encompasses all exemplary modifications. For example, the phrase "comprises at least one of A, B, or C" is synonymous with "consisting of A, B, C and combinations thereof," and encompasses all conceivable modifications of A, B, C, A+B, A+C, B+C, and A+B+C. In this disclosure, any disclosure of embodiments combining two or more configurations can be implemented as embodiments of any one or more configurations, unless otherwise stated herein, provided that they do not conflict. For example, the phrase "implements A, B, and C" is synonymous with "comprising of A, B, or C and combinations thereof." And it incorporates all conceivable modified embodiments of A, B, C, A+B, A+C, B+C, and A+B+C.

[0012] In this disclosure, disclosures using machines, electronic operators, or computers may include embodiments of methods, recording media, apparatus, or programs. Any statement “A is B” as used herein may be replaced with “A includes B” unless otherwise stated herein, provided that this does not contradict each other. For example, a method by which information is transmitted from a first terminal or means to a second terminal or means may include embodiments in which the first and second terminals are configured to transmit and receive information directly, as well as embodiments in which the first and second terminals do not transmit and receive information directly via an additional terminal, computer, cloud, or internet service system between them.

[0013] The terms in this disclosure can be interpreted in consideration of the descriptions in the specification and the drawings, including the terms described in the claims. Furthermore, as long as there is no contradiction with the suggestions in this disclosure, they can be interpreted based on what one or more members of the public have so called, indicated, understood, or implemented, or what is possible in the past, present, or future. In at least one embodiment, when observing the object or method in question, if one or more members of the public can reasonably understand or recognize that part or all of its configuration is included in the meaning of the terms described in this specification, then, as long as there is no contradiction with the suggestions in this disclosure, it can be determined to be included in the meaning of the terms described in this specification. If not all of the embodiments of this form are implemented, but some of them are carried out by others at home and abroad, or by using the services of others, or by causing the general consumer to do so, or by combining one or more of these actions, and all the actions together result in the implementation of all of the embodiments of this form, then it is regarded as having implemented this form. Regarding the terms in this specification, each of them includes the case of using them as the stem of a verb. In at least one embodiment, technical terms, symbols, and codes generally also include those commonly adopted in the relevant technical field.

[0014] Regarding the operation method used in at least one or more embodiments, the following embodiments can be adopted. The description of JP6456303, which well explains at least one or more embodiments, is cited for explanation (hereinafter, the citation begins).

[0015] As used herein, the term "computer" generally includes, as known in the art, a processor, memory such as a hard drive, disk drive, or flash drive or memory stick, or other non-transitory computer-readable medium or non-transitory storage device, at least one information storage / search device, at least one input device such as a keyboard, mouse, point and touch device, touch screen, or microphone, and a display structure such as a well-known computer screen. Additionally, a computer may include one or more network connections, such as a wired or wireless connection. As known in the art, such a computer or computer system may include more or less of the items listed above and is not limited, for example, to tablet computers or smart devices, but includes other electronic media and electronic devices.

[0016] As used herein, the term "cloud" or "cloud computing" refers to centralized and virtualized computing facilities where all computing resources are shared. For application systems and subsystems, since they are all "in the cloud", it is no longer possible to refer to a specific machine.

[0017] As used herein, the term “Distributed Internet Services System” refers to a distributed internet services platform that translates internet applications for execution in various computing environments. A DIS system distributes internet applications, including content, data, and logic, to any number and type of device, to whatever extent appropriate, and along a network, via Component Distribution Servers / Asset Distribution Servers. Through a DIS, internet applications can be hosted and centrally managed as a service tailored to each user's needs, and can be locally cached and executed on the user's device or nearby locations while maintaining their integrity. Web-enabled computing devices can be upgraded with DIS software to become DIS-enabled, capable of enjoying and running distributed internet services. The Distributed Internet Service System is fully described in any one of the following patent families: U.S. Patents No. 7,136857, 7150015, 7181731, 7209921, 7430610, 7685183, 7685577, 7752214, 8326883, 8386525, 8443035, 8458142, 8458222, 8473468, 8527545, and 8650226, and U.S. Patent Publications 20120005205 ​​and 20130091252, all of which, like the present invention, are jointly owned by OP40 Holdings, Inc., and all of which are incorporated by reference. (End of quote)

[0018] Regarding the operating method used in at least one embodiment, the following embodiments can be taken for conventional internet systems that do not use a distributed internet. The following will be explained by reference to the description in JP7113047, which describes at least one embodiment in detail (beginning of reference).

[0019] Embodiments including those specifically disclosed herein can provide an automated response system based on artificial intelligence that is implemented in a manner that mimics actual human conversation, thereby enabling more natural communication with users while quickly and conveniently handling inquiries, reservations, delivery orders, and more.

[0020] The multiple electronic devices 110, 120, 130, and 140 may be fixed or mobile terminals implemented by a computer system. Examples of the multiple electronic devices 110, 120, 130, and 140 include AI speakers, smartphones, mobile phones, navigation systems, PCs (personal computers), notebook PCs, digital broadcasting terminals, PDAs (Personal Digital Assistants), PMPs (Portable Multimedia Players), tablets, game consoles, wearable devices, IoT (Internet of Things) devices, VR (virtual reality) devices, and AR (augmented reality) devices. As an example, Figure 1 shows an AI speaker as electronic device 110, but in embodiments of the present invention, electronic device 110 may mean one of a variety of physical computer systems that can communicate with other electronic devices 120, 130, 140 and / or servers 150, 160 via a network 170 using substantially wireless or wired communication methods.

[0021] The communication method is not limited, and may include not only communication methods that utilize communication networks that can be included in network 170 (for example, mobile communication networks, wired internet, wireless internet, broadcasting networks, satellite networks, etc.), but also short-range wireless communication between devices. For example, network 170 may include one or more arbitrary networks such as PAN (personal area network), LAN (local area network), CAN (campus area network), MAN (metropolitan area network), WAN (wide area network), BBN (broadband network), and the Internet. Furthermore, network 170 may include, but is not limited to, one or more network topologies, including bus networks, star networks, ring networks, mesh networks, starbus networks, tree or hierarchical networks.

[0022] Servers 150 and 160 may each be implemented by one or more computer devices that communicate with multiple electronic devices 110, 120, 130, and 140 via a network 170 to provide instructions, code, files, content, services, etc. For example, server 150 may be a system that provides a first service to multiple electronic devices 110, 120, 130, and 140 connected via a network 170, and server 160 may be a system that provides a second service to multiple electronic devices 110, 120, 130, and 140 connected via a network 170. As a more specific example, server 150 may provide the multiple electronic devices 110, 120, 130, and 140 as a first service through an application, which is a computer program installed and executed on the multiple electronic devices 110, 120, 130, and 140, with the service targeted by that application (for example, an automated response service). As another example, server 160 may provide a second service that distributes files for installing and running the aforementioned application to multiple electronic devices 110, 120, 130, and 140.

[0023] Figure 2 is a block diagram illustrating the internal configuration of an electronic device and a server in one embodiment of the present invention. In Figure 2, the internal configuration of electronic device 110 and server 150 are described as examples of electronic devices. Other electronic devices 120, 130, 140 and server 160 may also have the same or similar internal configuration as the electronic device 110 or server 150 described above.

[0024] The electronic device 110 and the server 150 may include memory 211, 221, processors 212, 222, communication modules 213, 223, and input / output interfaces 214, 224. The memory 211, 221 may be a non-temporary computer-readable recording medium and may include non-temporary mass storage devices such as RAM (random access memory), ROM (read-only memory), disk drives, SSDs (solid-state drives), and flash memory. Here, non-temporary mass storage devices such as ROM, SSDs, flash memory, and disk drives may be included in the electronic device 110 and the server 150 as separate non-temporary storage devices distinct from the memory 211, 221. The memory 211, 221 may also store an operating system and at least one program code (for example, code for a browser installed and run on the electronic device 110, or code for an application installed on the electronic device 110 to provide a specific service). Such software components may be loaded from a computer-readable recording medium separate from the memory 211, 221. Such other computer-readable recording media may include computer-readable recording media such as floppy® drives, disks, tapes, DVD / CD-ROM drives, and memory cards. In other embodiments, software components may be loaded into memories 211, 221 through communication modules 213, 223 which are not computer-readable recording media. For example, at least one program may be loaded into memories 211, 221 based on a computer program (for example, the application described above) that is installed by a file provided over the network 170 by a file distribution system (for example, the server 160 described above) that distributes installation files for a developer or application.

[0025] Processors 212 and 222 may be configured to process computer program instructions by performing basic arithmetic, logic, and input / output operations. Instructions may be provided to processors 212 and 222 by memory 211 and 221 or by communication modules 213 and 223. For example, processors 212 and 222 may be configured to execute instructions received according to program code recorded in a recording device such as memory 211 and 221.

[0026] Communication modules 213 and 223 may provide functionality for the electronic device 110 and the server 150 to communicate with each other via the network 170, or they may provide functionality for the electronic device 110 and / or the server 150 to communicate with other electronic devices (for example, electronic device 120) or other servers (for example, server 160). For example, a request generated by the processor 212 of the electronic device 110 according to program code recorded in a recording device such as memory 211 may be transmitted to the server 150 via the network 170 under the control of the communication module 213. Conversely, control signals, instructions, content, files, etc., provided under the control of the processor 222 of the server 150 may be received by the electronic device 110 via the communication module 223 and the network 170 through the communication module 213 of the electronic device 110. For example, control signals, commands, content, and files from the server 150 received through the communication module 213 may be transmitted to the processor 212 and memory 211, and the content and files may be recorded on a recording medium (the non-temporary recording device described above) that the electronic device 110 may further include.

[0027] The input / output interface 214 may be a means for interface with an input / output device 215. For example, an input device may include a keyboard, mouse, microphone, camera, etc., and an output device may include a display, speaker, haptic feedback device, etc. As another example, the input / output interface 214 may be a means for interface with a device that integrates input and output functions into one, such as a touchscreen. The input / output device 215 may consist of the electronic device 110 and one other device. Also, the input / output interface 224 of the server 150 may be a means for interface with an input or output device (not shown) that connects to or can be included in the server 150. As a more specific example, when the processor 212 of the electronic device 110 processes instructions for a computer program loaded into memory 211, a service screen or content configured using data provided by the server 150 or electronic device 120 may be displayed on the display via the input / output interface 214.

[0028] Furthermore, in other embodiments, the electronic device 110 and the server 150 may include more components than those shown in Figure 2. However, it is not necessary to explicitly show most of the conventional components in the figure. For example, the electronic device 110 may be implemented to include at least some of the input / output devices 215 described above, and may further include other components such as transceivers, cameras, various sensors, and databases. As a more specific example, if the electronic device 110 is an AI speaker, the electronic device 110 may be implemented to further include a variety of components that are generally included in an AI speaker, such as various sensors, camera modules, various physical buttons, buttons using a touch panel, input / output ports, and vibrators for vibration. (End of quote)

[0029] The machine is disclosed. According to at least one embodiment, the user terminal consists of a control unit, RAM, storage unit, graphics processing unit, communication interface, and interface unit, each connected by an internal bus. In at least one embodiment, the user terminal includes terminals owned by the user. On the other hand, it includes not only terminals owned by the user, but also terminals owned by persons other than the user (including sellers and traders of goods and services, and the government and local authorities). For example, it includes terminals (including those transferred or leased) made available for use by persons receiving the provision or advertising / promotion of goods or services (hereinafter referred to as "such provision, etc." in this paragraph), terminals used for such provision, etc., and terminals related to the provision, etc. of such goods or services by persons receiving such provision, etc. In other words, it includes terminals owned by others that the user is only temporarily permitted to use, and terminals that the user is lent.

[0030] According to at least one embodiment, the control unit consists of a CPU and ROM. The control unit executes programs stored in the storage unit and controls the user terminal. RAM is the work area of ​​the control unit. The storage unit is a memory area for saving programs and data. The control unit reads programs and data from RAM and processes them. By processing the programs and data loaded into RAM, the control unit outputs drawing commands to the graphics processing unit.

[0031] According to at least one embodiment, the graphics processing unit is connected to the display unit. The display unit has a display screen. When the control unit outputs a drawing command to the graphics processing unit, the graphics processing unit outputs a video signal for displaying an image on the display screen. Here, the display unit may be a touch panel equipped with a touch sensor. The touch panel of this display unit functions as an input unit.

[0032] According to at least one embodiment, the communication interface can be connected to a communication network wirelessly or via a wired connection, and can send and receive data with a server device via the communication network. The data received via the communication interface is loaded into RAM and processed by the control unit. External memory (e.g., an SD card) is connected to the interface unit.

[0033] According to at least one embodiment, the user terminal is not particularly limited as long as it is a computer device having a display screen and an input unit. Examples of user terminals include conventional mobile phones, tablet devices, smartphones, and desktop or notebook personal computers. A VR goggle, i.e., a screen (or two display panels, one for each eye) attached to a frame (or headset) that is fixed or attached to the head with a strap, may also be used. The user terminal has an audio output unit.

[0034] According to at least one embodiment, a user terminal can communicate with a server device via a communication network. It can transmit or receive information by establishing a communication connection via the communication network.

[0035] According to at least one embodiment, the server device comprises at least a control unit, RAM, a storage unit, and a communication interface, each connected by an internal bus.

[0036] According to at least one embodiment, the control unit consists of a CPU and ROM, executes programs stored in the storage unit, and controls the server device. The control unit also has an internal timer for timing. RAM is the work area of ​​the control unit. The storage unit is a memory area for saving programs and data. The control unit reads programs and data from RAM and performs program execution processing based on information received from the user terminal, etc.

[0037] This document discloses AI. According to at least one embodiment, artificial intelligence includes machine learning, deep learning, generative AI, large-scale language models (LLMs), foundational models, and generative AI. Generative AI uses transformers and employs numerous attention mechanisms. It uses self-supervised learning and Extract Prediction. In this case, the AI ​​can predict the next word. Given a sentence, it predicts the next word from the sentence up to that point. It generates a large number of supervised learning problems. These enable an AI that can predict the next word. Generative AI can predict grammatical structure, topic connections, and what kind of sentences people with a certain writing style are likely to write. Furthermore, by simply predicting the next sentence, generative AI can learn the underlying structure, causal relationships, and knowledge. Generative AI scales quickly, and its accuracy improves as the number of parameters increases. Ordinary statistics and machine learning overfit if the model parameters are too large compared to the data sample size. LLMs become more accurate as the number of parameters increases. One generative AI has 175 billion parameters. Generative AI is overlaid with supervised learning to facilitate smooth conversation. They are taught not to say anything strange. They write essays and act as call center operators.

[0038] A machine is disclosed. In at least one embodiment, the machine may exist as a combination of one or more embodiments or functions described herein.

[0039] The term "cluster" in cluster analysis refers to a group of similar data points, meaning a cluster or cluster of similar characteristics. Therefore, cluster analysis is a method for grouping similar data (those with similar features) into several sets. The process of creating groups of similar data using this method is called "clustering." Clustering is a classification method without ground truth data. While classification is possible, the meaning of each group may not be clear. The results may require human interpretation. There are two types of cluster analysis: "hierarchical clustering," used when there are few items to classify, and "non-hierarchical clustering," applied when there are many items. Hierarchical clustering groups similar data points one by one in a hierarchical order, repeating this process until one large cluster is formed. This process is visualized using a diagram similar to a tournament bracket (tree diagram), making it an easy method to understand the data's characteristics. Non-hierarchical clustering, on the other hand, does not have a hierarchical structure. The number of clusters to be formed is predetermined, and the data is divided according to that number of clusters. There are also methods where the machine automatically divides the items without specifying the number of items to divide.

[0040] The following disclosure concerns measuring devices. In at least one embodiment, A includes a measuring device or method that, in any form, indicates vital data as quantifiable numerical values. Vital data, in any form, includes numerical or informational representations of physical or chemical reactions produced by living organisms. Vital data includes reactions originating from any living organism. Examples include vital data relating to humans, but also vital data of other animals. Examples include domesticated animals (pets, dogs, cats, etc.) and livestock (cattle, pigs, horses, etc.). Vital data, in any form, includes data relating to cardiovascular rhythms. Examples include electrocardiograms and pulse waves. On the other hand, when simply referring to vital data, any data originating from a living organism is acceptable, so electroencephalograms, respiration, eye movements, chemical substances in the blood, and genetic information and amounts of mRNA or ncRNA are also included in vital data. When referring to "vital data relating to cardiovascular rhythms," it includes vital data originating from the circulatory system, in any form. Examples include electrocardiograms, pulse waves, and pulse rate. "Rhythmic" refers to vital data that exhibits some kind of regularity or periodicity in its appearance, regardless of the nature of that regularity. Electrocardiograms (where QRS waves appear regularly), heart rate, pulse rate, electroencephalograms, fluctuations in the amount of specific substances in body fluids, blood concentrations of hormones indicating the circadian rhythm of the body clock, and the periodicity of protein phosphorylation and dephosphorylation are all, of course, "rhythmic." The measuring device includes devices capable of acquiring these vital data. Examples include electrocardiograms and pulse rate monitors. On the other hand, the device does not need to be a dedicated device solely for the purpose of such measurement. A user terminal may be configured to acquire these vital data by being equipped with additional measuring devices, either within the device itself or with an attached device. Examples include smartphones, tablet devices, smartwatches, and wearable devices.

[0041] One example of pulse wave measurement is electrocardiography (ECG). Electrodes are attached to the body surface to measure the electrical activity of the heart and record its waveform. The electrical signals from the heart are captured and displayed as waveforms on a recording device. A standard ECG test is called a 12-lead ECG, and it records 12 types of waveforms. A 12-lead ECG consists of a total of 12 leads: four limb leads and six chest leads. A Holter monitor includes a device that records an ECG using a portable ECG device. Electrodes are attached to the chest to record the electrical activity of the heart and save it to a recording device. Leads in which the P wave can be clearly recorded are advantageous for determining supraventricular premature contractions and atrioventricular block, and electrodes may be attached to the manubrium and xiphoid process (NASA), or the manubrium and V5 (CM5). Leads in which high-amplitude QRS complexes (waveforms) are recorded are advantageous for beat detection during automated analysis, and electrodes may be attached to CM5, V5R and V5 (CC5), etc. CM5 is sometimes used when looking at leads that allow for estimation of the source of ventricular premature contractions, or leads where ST-T changes are easily observed (determining ST-T changes originating from myocardial ischemia). Holter electrocardiographs have a built-in rechargeable unit and can function autonomously for several hours to about a week. Therefore, subjects (including patients) can use Holter electrocardiographs not only in medical facilities but also at home. There are two types of photoplethysmography: through-beam and reflective. The through-beam type irradiates infrared or red light from the body surface and measures the pulse wave by measuring the change in blood flow that changes with the heart's pulsation as the amount of light transmitted through the body. The reflective pulse wave sensor irradiates infrared, red light, or green wavelength light around 550 nm towards the body and measures the light reflected from within the body using a photodiode or phototransistor. Arterial blood contains oxyhemoglobin, which has the property of absorbing incident light. Therefore, pulse wave signals are measured by sensing the blood flow (changes in blood vessel volume) that change in accordance with the heart's pulsation over time. Heart sound measurement methods include methods that measure heart sounds by placing a microphone on the sternum or other areas, and then obtaining heart rate and heart murmur data by analyzing those heart sounds.

[0042] [First Embodiment] (Configuration of Heart Sound Analysis System 1) Based on Figure 1, the configuration of the heart sound analysis system 1 will be explained. Figure 1 is a block diagram showing the functional configuration of the heart sound analysis system 1.

[0043] As shown in Figure 1, the heart sound analysis system 1 comprises a heart sound measurement unit 10, a control processing unit 100, and a display unit 50. The heart sound measurement unit 10 is the part used to measure heart sounds, and specifically it is a microphone.

[0044] Here, heart sounds are sounds produced when the heart valves close, and consist of sounds such as the first heart sound, the second heart sound, and heart murmurs. For blood to be pumped from the heart, the atrioventricular valves between the atria and ventricles, and the arterial valves between the ventricles and arteries must open and close. When the atria contract and blood fills the ventricles, the atrioventricular valves (mitral valve and tricuspid valve) close, and the ventricles begin to contract accordingly. The first heart sound is the sound produced at this time.

[0045] Furthermore, when the ventricles contract and pump blood into the arteries, the arterial valves (aortic valve and pulmonary valve) close. This is the second heart sound. Furthermore, if there is valve dysfunction or stenosis, abnormal sounds may occur in addition to the clear heart sounds. These sounds are called heart murmurs. The first heart sound (I) is best heard at the apex of the heart, and the second heart sound (II) is best heard at the sternal border at the level of the second intercostal space on both sides. The first heart sound is heard as a dull, low-pitched sound, while the second heart sound is heard as a sharp, high-pitched sound.

[0046] The control processing unit 100 includes a CPU (not shown), ROM, RAM, I / O, a heart sound data storage unit 20, a heart sound spectrum calculation unit 30, and an abnormal state determination unit 40. The heart sound data storage unit 20 is the part that stores the heart sounds measured by the heart sound measurement unit 10 as time-series heart sound data, and is specifically a memory.

[0047] The heart sound spectrum calculation unit 30 calculates the power spectrum of the heart sound data based on the heart sound data stored in the heart sound data storage unit 20. Specifically, it is implemented as a program (abnormal state determination process) executed by the CPU. The abnormal state determination process will be described later.

[0048] The abnormal state determination unit 40 determines abnormal conditions related to the heart based on the heart sound data calculated by the heart sound spectrum calculation unit 30. Specifically, it is implemented as a program (abnormal state determination process) executed by the CPU. The abnormal state determination process will be described later.

[0049] The display unit 50 is the part that displays the abnormal state determined by the abnormal state determination unit 40, and specifically, it is a display device such as a liquid crystal display.

[0050] (Abnormal state detection process) Next, the abnormality detection procedure performed in the control processing unit 100 will be described based on Figure 2. Figure 2 is a flowchart showing the flow of the abnormal state detection procedure. The abnormal state detection process is stored as a program in ROM and is read by the CPU and processed when the heart sound analysis system 1 is powered on.

[0051] As shown in Figure 2, in the abnormal state detection procedure, the CPU acquires heart sound data (time-series data of heart sounds) from the heart sound measurement unit 10 in S100, and in the subsequent S105, stores the heart sound data acquired in S100 into the heart sound data storage unit 20.

[0052] In the subsequent S110, it is determined whether a predetermined time (1 minute in this embodiment) has elapsed. If it is determined that the predetermined time has elapsed (S110: Yes), the process proceeds to S115; if it is determined that the predetermined time has not elapsed (S110: No), the process returns to S100.

[0053] In S115, features such as PSD are extracted from the heart sound data acquired in S100 to S110. Specifically, the following processes (a) to (e) are performed to calculate the features. As an example of feature calculation, we will explain by referring to the example of heart sound data acquired in S100 to S110 and the power spectrum of that heart sound data shown in Figure 3. Figure 3 is a diagram showing an example of heart sound data acquired by the heart sound analysis system 1 and the power spectrum of that heart sound data. Note that in Figure 3, the graph indicated by "A" is the heart sound data, and the graph indicated by "B" is the power spectrum.

[0054] (a) Calculate the PSD (Power Spectral Density) for a specific frequency band. (i) Pick out the peaks from the calculated PSD that exceed a certain value. The peak groups obtained in (c)(b) are classified into single tones, two tones, and noise.

[0055] For the single sound group obtained in (E)(U), the characteristics of atrial fibrillation, premature contractions (arrhythmia), and pauses (arrhythmia) are calculated using an electrocardiogram arrhythmia analysis algorithm. The electrocardiogram arrhythmia analysis algorithm will be described later. For the single tone group obtained in (O) and (U), the LF / HF ratio is calculated using an autonomic nervous system algorithm for electrocardiograms, and signs of autonomic nervous system dysfunction are calculated. The autonomic nervous system analysis algorithm for electrocardiograms will be described later.

[0056] In the following step S120, an abnormal state is determined based on the calculation results from S115. In the following step S125, the abnormal state determination result (indications of an abnormal state) is displayed on the display unit 50 using a Lorentz plot, after which the process ends. Here, we will explain how to display signs of abnormal conditions using a Lorentz plot, based on Figure 4. Figure 4 is an explanatory diagram of signs of abnormal conditions and their representation using a Lorentz plot.

[0057] A Lorenz plot is a graph in which the nth heart sound RR interval is plotted on the horizontal axis and the (n+1)th heart sound RR interval is plotted on the vertical axis. As shown in Figures 4(a) and 4(b), if the heart sound data is determined to be "normal," the Lorenz plot will show a graph where the distribution of heart rate intervals is upward sloping (the slope of the linear curve approximated by the least squares method is positive), and the vertical variability is within a predetermined range.

[0058] As shown in Figure 4(c), when "signs of atrial fibrillation are present," the distribution of heart rate intervals is upward sloping, but the vertical variability is outside the specified range. As shown in Figure 4(d), if "signs of premature contractions are present," the graph will show three or more upward-sloping linear approximation curves of the heart rate interval distribution.

[0059] As shown in Figure 4(e), if a patient is judged to have "signs of autonomic neuropathy such as diabetes or Parkinson's disease," the distribution of heart rate intervals in the vertical direction relative to the upward-sloping linear curve will be below a predetermined value.

[0060] (Arrhythmia analysis algorithm for electrocardiograms) Here, we will explain the arrhythmia analysis algorithm for electrocardiograms based on Figure 8. Figure 8 is a conceptual diagram used to explain the arrhythmia analysis algorithm for electrocardiograms using an actual electrocardiogram. As shown in Figure 8, the electrocardiogram arrhythmia analysis algorithm calculates the characteristics of atrial fibrillation, premature contractions (arrhythmias), and pauses (arrhythmias) using the following (a) to (d).

[0061] (a) Detect the QRS complex from the electrocardiogram waveform shown in Figure 8(A) (indicated as "C" in Figure 8(A)). The QRS complex represents a characteristic point on the electrocardiogram from ventricular excitation to the completion of depolarization, and is the region indicated as "E" in Figure 8(B). Note that Figure 8(B) is an enlarged view of the "C" portion in Figure 8(A).

[0062] (i) Calculate the time interval between adjacent QRS complexes (this time interval is called the RR Interval and is indicated by "D" in Figure 8(A)). (c) For a given QRS complex, compare it with the RR interval for the preceding few to tens of beats to determine whether an eccentric contraction has occurred.

[0063] After eliminating the influence of items (e) and (c), the presence or absence of atrial fibrillation is determined from the variability of the RR interval in a specific section. In this invention, when performing similar processing using heart sound data instead of electrocardiograms, the characteristics of atrial fibrillation, premature contractions (arrhythmias), and pauses (arrhythmias) are calculated by replacing the interval between adjacent heart sounds with the RR Interval. This makes it possible to perform arrhythmia analysis using heart sound data based on an arrhythmia analysis algorithm that uses electrocardiograms.

[0064] (Autonomic nervous system analysis algorithm for electrocardiograms) Next, we will explain the autonomic nervous system analysis algorithm for electrocardiograms based on Figure 9. Figure 9 is a conceptual diagram used to explain the autonomic nervous system analysis algorithm for electrocardiograms using an actual electrocardiogram.

[0065] As shown in Figure 9, the autonomic nervous system analysis algorithm for electrocardiograms calculates the characteristics of autonomic neuropathy such as diabetes and Parkinson's disease using the following (O) and (Ka). (e) The RR interval group (indicated as "F" in Figure 9) calculated by electrocardiogram arrhythmia analysis is subjected to frequency analysis to calculate the PSD.

[0066] Of the terms (k) and (o), calculate the integral values ​​of High Frequency (HF: 0.15~0.4Hz) and Low Frequency (LF: 0.05~0.15Hz), and use LF / HF as the value for that day.

[0067] In this invention, instead of using an electrocardiogram, when performing similar processing with heart sound data, the characteristics of autonomic nervous system disorders are calculated by replacing the interval between adjacent heart sounds with the RR interval. This makes it possible to perform autonomic nervous system analysis using heart sound data based on an autonomic nervous system analysis algorithm that uses an electrocardiogram.

[0068] (Features of the heart sound analysis system) The above-described heart sound analysis system 1 can determine and present abnormal conditions related to the heart based on heart sound data acquired from the user, who is the subject of the analysis. Therefore, compared to determining abnormal conditions related to the heart based on an electrocardiogram, which requires a probe to acquire an electrocardiogram, this system only requires a microphone, making it simpler and less burdensome for the subject during measurement.

[0069] Furthermore, it can identify and present signs of arrhythmia as an abnormal condition. In addition, it can identify and present signs of at least one of the following abnormal conditions: atrial fibrillation, premature contractions, and autonomic neuropathy (such as diabetes or Parkinson's disease).

[0070] [Second Embodiment] Next, the heart sound analysis system 1 in the second embodiment will be described. The cardiac sound analysis system 1 has the same constituent elements, functions, and abnormal state determination processes as those in the first embodiment, so their descriptions will be omitted.

[0071] The heart sound analysis system 1 in the second embodiment is constructed using components of a so-called smartphone (registered trademark). Specifically, the heart sound measurement unit 10 is the smartphone's microphone, the control processing unit 100 is the smartphone's CPU, and the display unit 50 is the smartphone's display.

[0072] Then, the abnormal state detection process is stored as an application in the smartphone's memory, the heart sound data measured by the heart sound measurement unit 10 (microphone) is stored in the memory, the CPU calculates the power spectrum and performs abnormal state detection, and the result of the abnormal state detection is displayed on the display unit 50 (display).

[0073] In addition to the features of the heart sound analysis system 1 in the first embodiment, this heart sound analysis system can be configured using a smartphone, resulting in a very simple and user-friendly system.

[0074] [Third Embodiment] Next, the heart sound analysis system 2 in the third embodiment will be described based on Figure 5. Figure 5 is a block diagram showing the functional configuration of the heart sound analysis system 2 in the third embodiment.

[0075] As shown in Figure 5, the heart sound analysis system 2 comprises a terminal 110 and a server 120, and data is transmitted and received between the terminal 110 and the server 120 via a communication line 5 such as the internet.

[0076] In addition, components of the heart sound analysis system 2 in the third embodiment that are the same as those of the heart sound analysis system 1 in the first embodiment are denoted by the same reference numerals, and their descriptions are omitted. Terminal 110 is the part of the heart sound analysis system 2 that is held and used by the user. It measures heart sound data, transmits it to the server 120 via the communication line 5, and receives and displays the abnormal condition determination result from the server 120 via the communication line 5.

[0077] The terminal 110 includes a heart sound measurement unit 10, a display operation unit 51, a transmission / reception unit 60, and a CPU, ROM, RAM, and I / O (not shown). The display operation unit 51 includes a liquid crystal display for displaying information and a touch panel on its surface for operation input.

[0078] The transmitting / receiving unit 60 is a transceiver for sending and receiving data to and from the server 120 via the communication line 5. The CPU also performs terminal processing, which will be described later. Server 120 stores heart sound data transmitted from terminal 110 via communication line 5, calculates heart sound spectrum and determines abnormal condition results based on the stored heart sound data, and transmits the results to terminal 110 via communication line 5.

[0079] The server 120 includes a heart sound data storage unit 20, a heart sound spectrum calculation unit, an abnormal state determination unit 40, a transmission / reception unit 61, and a CPU, ROM, RAM, and I / O (not shown). The transceiver unit 61 is a transceiver for sending and receiving data to and from the terminal 110 via the communication line 5. The CPU also performs server processing, which will be described later.

[0080] (Terminal processing) Based on Figure 6, the terminal processing performed on terminal 110 will be explained. Figure 6 shows the terminal processing. This is a flowchart showing the process.

[0081] As shown in Figure 6, in terminal processing, first, in S200, the input status of the operation mode is obtained from the display operation unit 51. In other words, it is obtained whether the user has selected to "measure heart sound data," "display the abnormal state judgment result," or "terminate the process."

[0082] In the subsequent S205, the system determines which mode the mode state input obtained in S200 corresponds to. If the input state mode is "heart sound data measurement", the process moves to 210; if it is "abnormal state determination result", the process moves to S220; and if it is "processing complete", the terminal process is terminated.

[0083] In S210, heart sound data is acquired, and in the subsequent S215, the heart sound data acquired in S210 is transmitted to the server 120 via the communication line 5. When transmitting, start data is sent at the beginning of the heart sound data, and end data is sent at the end after a predetermined time has elapsed.

[0084] In S220, it is determined whether a predetermined time (1 minute in this embodiment) has elapsed. If it is determined that the predetermined time has elapsed (S220: Yes), the process returns to S200; if it is determined that the predetermined time has not elapsed (S220: No), the process returns to S210.

[0085] In S225, the abnormal state determination result is input from the server 120 via the communication line 5. In the subsequent S230, the abnormal state determination result input in S225 is displayed on the display operation unit 51, and then the process returns to S200.

[0086] (Server processing) Based on Figure 7, the server processing performed on server 120 will be explained. Figure 7 shows the flow of server processing.

[0087] As shown in Figure 7, in the server processing, first, S300 receives heart sound data from terminal 110 via communication line 5 and stores it in heart sound data storage unit 20. When inputting data, data from start data to end data is input and stored in heart sound data storage unit 20.

[0088] In the subsequent S305, features such as heart sound PSD are calculated from the heart sound data acquired in S300. In the subsequent S310, signs of an abnormal state are determined from the characteristic quantities such as heart sound PSD calculated in S305. The determination method is the same as the abnormal state determination process (S115, S120) in Embodiment 1.

[0089] In the subsequent S315, the determination result from S310 is transmitted to the terminal 110 via the communication line. At this time, the determination result may also be transmitted to the terminal 110 as a Lorentz plot as in S125 of Embodiment 1.

[0090] In this type of heart sound analysis system 2, the terminal 110 can be miniaturized by consisting only of a heart sound measurement unit 10, a display operation unit 51, and a transmitting / receiving unit 60, making it a user-friendly system.

[0091] Furthermore, since abnormal state detection processing can be performed using the communication line 5 and the server 120, it becomes possible to process multiple terminals 110 with a single server 120, enabling large-scale system implementation.

[0092] Any of the methods described herein can be used to obtain vital data related to cardiovascular rhythms.

[0093] This document discloses a method for transmitting vital data to an analyst's terminal or device. In at least one embodiment, the analyst includes a person capable of making medical judgments about the vital data, such as a physician or a clinical laboratory technician. The analyst's terminal includes a computer that the analyst can operate, and includes computers, tablet devices, and smartphones used by the analyst in clinical practice. The device includes a network, server, computer, cloud, or internet service system that integrally processes vital data and related data (hereinafter referred to as "administrator device, etc."). These networks, etc., may function as a platform or database for the provider, operator, contractor, etc. of this service to integrally manage the data, etc. In this case, the device can send and receive the obtained information to the analyst's terminal.

[0094] This invention discloses a method by which an analyst's terminal generates medically relevant supplementary information. In at least one embodiment, the analyst makes a medical judgment about vital data and converts the content of that judgment into data. For example, the diagnostic content may be entered as text into the terminal or the like. The diagnostic content may be entered as voice into the terminal or the like, and the machine may convert the content into text using speech recognition and natural language processing. "Supplementary information" includes information related to the medical interpretation or evaluation of the vital data. Information that is related to the medical interpretation or evaluation when observing the subject is considered to fall under "supplementary information". For example, this includes, for the subject whose vital data was measured, that further examination is necessary, that medical treatment is necessary, that supraventricular premature contractions or atrioventricular block are observed, or one or more combinations thereof. Furthermore, to share diagnostic results with the subject in an easily understandable way, supplementary information may include categorized indicators according to the severity of the diagnosis (for example, "safe," "no abnormalities," "further examination required," "treatment required," etc.), and some form of medical advice for the subject ("see a doctor immediately," "be sure to continue taking the prescribed medication," "aim for less than 6g of salt per day," "quit smoking completely, and drink alcohol in moderation under the guidance of a doctor," etc.). The analyst may be a cardiovascular specialist. In this case, they can create the most specialized supplementary information for the vital data.

[0095] This document discloses a method for transmitting vital data and associated information to a device. In at least one embodiment, the analyst's terminal processes the information so that it is clear that the vital data and the generated associated information relate to the same person being measured. This includes, for example, linking the data by a management number or the name of the same person being measured. "Linking" includes associating, integrating, and linking data existing in different systems or data sources using a common key or condition. Through this process, the device can store and transmit vital data and associated information in a way that it is clear that they relate to the same person being measured.

[0096] The device or the analyst's terminal transmits vital data, supplementary information, and information about the person being measured to the healthcare professional's terminal. In at least one embodiment, "healthcare professional's terminal" means a terminal different from the analyst's terminal and a healthcare professional different from the analyst. In this case, healthcare professionals include doctors, nurses, various laboratory technicians, etc., who will actually examine and treat the person being measured. The analyst's terminal may be located at a different address from the healthcare professional's terminal. That is, the cardiologist who is the analyst may be in a different hospital from the primary care physician who will actually treat the patient, and the analyst's terminal and the healthcare professional's terminal may be at different addresses. The device or the analyst's terminal adds information about the person being measured to the vital data, etc., and transmits it to the healthcare professional's terminal.

[0097] According to this embodiment, at the very least, the analyst can perform an advanced diagnosis, and the patient's primary care physician or other medical professional can quickly receive and share this advanced diagnostic information, enabling them to provide medical care to the person being measured, thus offering convenience and potential for industrial application.

[0098] This invention discloses a method by which a device or an analyst's terminal transmits vital data and associated information to the terminal of a person whose vital data is being measured. In at least one embodiment, vital data and the like can be transmitted to the terminal of the person being measured. In this case, the associated information may include indices categorized according to the severity of the diagnosis, some medical advice for the person being measured, vital data, or a combination thereof. According to this embodiment, at least the content of the specialist's diagnosis is shared with the person being measured immediately after the diagnosis is made, which offers the convenience of quickly providing medical attention to the person being measured and has industrial applicability. Upon receiving this data, the person being measured will be motivated to pay attention to their lifestyle and to visit their family doctor.

[0099] This invention discloses a method for transmitting vital data, supplementary information, and information about the patient to the terminal of a healthcare professional in a hospital with inpatient facilities, from a device or an analyst's terminal. After good faith consideration by the inventors, it has been determined that continuous support for patients who have undergone catheter ablation surgery is crucial. Therefore, it is desirable for the patient's primary care physician to introduce the measurement device to the patient, who then uses the device to continuously measure vital data (including electrocardiograms). In this case, the primary care physician may not be a cardiologist and may not be able to accurately understand the data. Therefore, the information obtained by the measurement device is transmitted to the analyst's terminal. Since the analyst is a specialist, they can determine whether the patient's condition is poor after surgery. If treatment is deemed necessary, the patient may need to be referred to a community hospital or hospital with inpatient facilities for further examination or surgery, if necessary. In this case, it is desirable that the analyst's diagnosis, supplementary information, and vital data can be directly transmitted to and received from the terminal of a healthcare professional in a hospital with inpatient facilities. In this case, since the data is shared immediately, doctors in hospitals with inpatient facilities can secure time to prepare treatment plans in advance. Furthermore, by linking with a database of schedules for re-examinations and hospitalizations, it becomes possible to automatically schedule re-examinations and other appointments with ample time to spare.

[0100] In at least one embodiment, the measuring device is sent to an analysis location different from the address of the measurement location after vital data has been acquired. As already explained, Holter electrocardiograms are used at the subject's home or at their primary care physician's clinic. In this case, the cardiologist or other analyst is usually not present at that location, so the measuring device is sent to a different analysis location along with the machine. After careful consideration by the inventor, it was found that for some measuring devices, the device itself is too expensive to transfer to the subject, which would hinder the widespread adoption of vital data measurement. Therefore, in order to ensure sustainable measurement without transferring the measuring device, it is sometimes better to lend the measuring device and have the analyst return it directly by mail. For this reason, the measuring device is sent to the analysis location. The analysis location does not necessarily need to be the actual location of the analyst or the analyst's terminal; it may be the location where the person who extracts or generates the data or their terminal is located (including a data center). In the former case, it is sent to the location where the analyst is actually located (including their workplace if the analyst is a physician). In the latter case, the data is sent to a data center or a location where staff of the service management company or its subsidiary are present. The data center extracts the information from the measuring device and transmits it to the analyst's terminal or other device. The vital data may be processed before being transmitted to the analyst's terminal. For example, the vital data before processing, the processed data, or a combination thereof may be transmitted after applying the information processing described herein (such as a Lorentz plot). The information processing includes embodiments in which the AI ​​makes a diagnosis. That is, the AI ​​performs supervised learning on the vital data of patients with disease and the vital data of healthy individuals. As a result, the AI ​​can predict whether there is a possibility of disease when given vital data. The result of this prediction or the basis for it may be transmitted as supplementary data to the terminals of the analyst, the person being measured, and the medical professional.

[0101] The analyst's terminal at the analysis site acquires vital data from the sent measuring device via wired or wireless communication. In the case of wired communication, vital data stored in the device's memory is extracted by connecting to the measuring device (e.g., a Holter electrocardiogram monitor) via a wired connection. In the case of wireless communication, the device or the analyst's terminal extracts vital data stored in the device's memory from the measuring device via Bluetooth®, LTE, or the internet. In at least one embodiment, the acquired vital data is transmitted to the device. In this case, the vital data is transmitted to an administrator device, etc. According to this embodiment, there is at least the convenience and industrial applicability of providing a device or system that enables the sustainable measurement of electrocardiograms, which has not been widely adopted by conventional methods.

[0102] In at least one embodiment, the measuring device is reused for measuring another subject. After good faith consideration by the inventors, it was found that if the electrodes attached to each subject and the adhesive part that can adhere to the body are configured to be detachable from the main body of the Holter electrocardiograph, the main body of the electrocardiograph can be reused. In this case, the electrodes and adhesive part may not be reused because they have already come into contact with the body. For example, a part is created in which the electrodes are exposed on the adhesive part. This part has an exposed electrode on the adhesive surface that adheres to the body, and a metal part extending from the electrode is exposed on the opposite side of the adhesive surface. This metal part has an interlocking relationship with the metal part of the electrocardiograph main body, and they can be connected. With this method, the electrocardiogram can be measured electrically, and the electrocardiograph main body can be reused by discarding only the electrodes and adhesive part. The subject sends only the electrocardiograph main body to the analysis location. The provider of this service will send the electrocardiograph unit, electrodes and adhesive parts, and packaging materials (including envelopes and boxes) for shipping the electrocardiograph unit to the person being measured in advance. According to this embodiment, at least the electrocardiograph unit can be reused, which reduces the environmental impact and offers potential for industrial use.

[0103] In at least one embodiment, the measuring device transmits vital data wirelessly to the analyzer's terminal or device. The inventors have considered various options and found that some Holter electrocardiograms can be offered at a price affordable enough for the person being measured to purchase. In this case, since the electrocardiogram is transferred, there is no need to request its return. The electrocardiogram includes a communication-enabled configuration. The person being measured performs the measurement using the electrocardiogram. The electrocardiogram transmits the measured vital data to a device or computer via wired or wireless communication. In this case, "device or computer" includes any of the following: user terminal, administrator device, medical staff terminal, or analyst terminal. Furthermore, these computers can receive information and transfer or process that data to other devices or computers before transmitting it. For example, if the measuring device is the person being measured's wearable device (corresponding to the user terminal), the measured vital data is transmitted and received via the wearable device's wireless device to the analyst terminal or administrator device via the internet. In addition, the Holter electrocardiogram (ECG) device has a wireless function, allowing vital data measured by the ECG to be transmitted and received via the internet to an analyst terminal or administrator device via the device's wireless interface. The Holter ECG device also has a wired function, allowing the person being measured to connect the ECG device via a wired connection to their user terminal or computer, thereby transmitting the measured vital data to that terminal, which can then transmit it to an analyst terminal or administrator device via the internet. According to this embodiment, at least the measured vital data can be automatically transmitted to an analyst terminal or administrator device, offering the convenience of high immediacy and potential for industrial application. As a result of this high immediacy, it is possible to respond quickly to cases where immediate treatment is required.

[0104] Medical devices attached to the subject, A first information processing device for an analyst to analyze biological information acquired by the aforementioned portable medical device, A second information processing device that allows non-analysts to view the results of the analysis of the aforementioned biological information, A system equipped with these features.

[0105] The embodiments described above are based on any of the methods described herein. "Non-analyst" includes healthcare professionals other than the analyst, physicians, and the person being measured. "Viewing" includes these persons being able to view vital data, supplementary information, and combinations thereof through the terminal's display.

[0106] A patch-type electrocardiograph attached to a patient who has undergone catheter ablation surgery, A storage device that stores information regarding the electrocardiogram test results of the subject obtained by analyzing the electrocardiogram data acquired by the patch-type electrocardiograph, A first information processing device that allows a physician other than a cardiologist, who is visiting the patient to receive a report on the electrocardiogram test results, to access the storage device in order to view the information, A second information processing device that allows the analyst who performed the catheter ablation surgery to access the storage device in order to view the information, A system equipped with these features.

[0107] The embodiments described above are based on methods described in any of the specifications herein. "Patch-type electrocardiograph" includes a Holter electrocardiograph. "Information regarding electrocardiogram test results" includes vital data, processed data, and one or more combinations thereof. "A non-cardiologist who is consulted to receive the report" includes a primary care physician. In this embodiment, the specialist who performs the analysis may be the physician who performed the surgery on the subject.

[0108] A patch-type electrocardiograph that is attached to the subject, An examination processing device that analyzes electrocardiogram data acquired by the aforementioned patch-type electrocardiograph to generate electrocardiogram test results categorized as "requires further examination" or "requires treatment," A first information processing device that allows a physician other than a cardiologist, who is visiting the patient to receive a report on the electrocardiogram test results, to access the storage device in order to view the information, If the electrocardiogram test result indicates "further examination required" or "treatment required," a second information processing device is provided that allows an analyst at a medical institution capable of performing the further examination or treatment to access the storage device in order to view the information. Equipped with, A system that includes, if the aforementioned information includes data indicating "further examination required" or "treatment required" as a result of the electrocardiogram test, also includes information about the medical institution.

[0109] The embodiments described above are based on any of the methods described herein. Embodiments include those in which "requires further examination" or "requires treatment" are replaced with words of the same or similar concept. Categorization can be performed by having an AI perform supervised learning using ground truth data with such labels in advance, and then having the AI ​​categorize the vital data it acquires. Alternatively, a machine can perform predetermined categorization according to numerical thresholds of the measured data. Another method involves an analyst analyzing the vital data, categorizing it, and inputting that information into a device. The analyst may also refer to the AI's categorization when making a diagnosis. "Medical institutions capable of providing further examination or treatment" may be synonymous with hospitals with inpatient facilities. "Information about medical institutions" includes the name of the medical institution, address, contact information (telephone number), name of the medical professional in charge (including the name of the doctor listed in the referral letter), electronic data of the referral letter, and one or more combinations thereof. According to this embodiment, there is the convenience and industrial applicability of being able to share at least the name of the medical institution where treatment or examination is planned.

[0110] A patch-type electrocardiograph that is attached to the subject, A storage device that stores information regarding the electrocardiogram test results of the subject obtained by analyzing the electrocardiogram data acquired by the patch-type electrocardiograph, A first information processing device that allows a physician other than a cardiologist, who is visiting the patient to receive a report on the electrocardiogram test results, to access the storage device in order to view the information, If the electrocardiogram test result indicates "further examination required" or "treatment required," a second information processing device is provided that allows an analyst at a medical institution capable of performing the further examination or treatment to access the storage device in order to view the information. Equipped with, A system that includes, if the aforementioned information includes data indicating "further examination required" or "treatment required" as a result of the electrocardiogram test, also includes information about the medical institution.

[0111] The embodiments described above are based on methods described in any of the specifications herein.

[0112] In at least one embodiment, a healthcare professional, such as a primary care physician, acts as an ambassador or sales agent to promote the effectiveness of the measuring device. Because local practitioners often have many elderly patients, they introduce the measuring device to these patients (corresponding to the person being measured). The patient then uses the device to perform the measurement. This process enables initial screening for diseases. In other words, the measuring device, passed from the local healthcare professional to the person being measured, acquires vital data related to cardiovascular rhythms. A user terminal with an application installed, which is communicated to the person being measured by the local healthcare professional, acquires vital data related to cardiovascular rhythms. This can be done not only by primary care physicians, but also by visiting nurses or other healthcare professionals, or healthcare professionals at health checkup facilities. Furthermore, by managing vital data and associated information along with data identifying the person being measured in the cloud, an analysis system for medical treatment can be provided. This system allows viewing of reviews by specialists (analysts), AI-based diagnoses, and combinations thereof. In this case, the primary care physician can view this information and explain the diagnosis results to the person being measured. By continuously measuring electrocardiograms (ECGs), primary care physicians can increase the number of times they perform medical procedures and conduct ECG examinations, enabling more efficient primary screening of patients.

[0113] A method in which the user terminal We obtain vital data related to cardiovascular rhythms, The vital data is transmitted to the analyst's terminal or device. The analyst's terminal generates supplementary medical information, links the vital data with the supplementary information, and transmits it to the device. The device or the analyst's terminal transmits vital data, supplementary information, and information about the person being measured to the healthcare professional's terminal. method.

[0114] In at least one embodiment, vital data includes pulse rate. Pulse rate can be measured by a user terminal, wearable device, or smartwatch. For example, an optical heart rate monitor (OHR) sensor is used. A sensor on a device worn on the wrist (including sensors built into smartwatches and detachable sensors that can be connected to a user terminal via wired or wireless connection) shines light onto the blood flow, and the pulse rate is measured from the change in the reflection. The wearable device is worn so that it fits snugly on the wrist. The closer the sensor is to the skin, the more accurately it can receive reflected light. The app included with the device or a connected smartphone app is launched to measure the heart rate. When light emitted by the optical sensor hits the skin, some is absorbed and some is reflected. Hemoglobin in the blood absorbs light, so as the amount of blood changes due to the heartbeat, the intensity of the reflected light also changes. The optical sensor detects the intensity of this reflected light. By analyzing the period of this intensity and calculating the time between peak wavelengths, vital data (pulse rate) related to the rhythm of the cardiovascular system can be obtained. To achieve more accurate heart rate measurement, multiple optical sensors may be incorporated. This allows for the acquisition of more data points and the calculation of a more accurate heart rate. Combining optical sensors with sensors such as accelerometers and gyroscopes enables even more accurate heart rate measurement. This allows for a more accurate understanding of heart rate fluctuations during exercise and daily life. For methods after acquiring vital data, refer to the descriptions relating to some or all of the embodiments of this specification. According to this embodiment, there is the convenience and industrial applicability of being able to perform primary screening using at least the user's own terminal.

[0115] A method in which the measuring device is We acquire vital data of living organisms, The vital data is transmitted to the analyst's terminal or device. The analyst's terminal generates supplementary medical information, links the vital data with the supplementary information, and transmits it to the device. The device or the analyst's terminal transmits vital data, supplementary information, and information about the person being measured to the healthcare professional's terminal. method.

[0116] In at least one embodiment, the description of "vital data related to cardiovascular rhythms" does not need to be limited to the cardiovascular system, nor does it need to be limited to rhythms; it can simply be replaced with the description of "vital data of the living organism." For example, the concentration of a predetermined ncRNA is measured by blood sampling from the subject. ncRNAs include miRNAs and lncRNAs, and miRNAs in serum are measured. miRNAs are 20 to 24 base pairs and their expression may be disease-specific. The amount of a predetermined miRNA that is a predictor of myocardial infarction is detected. RNA-seq, dPCR, microarrays, and qRT-PCR can be used for detection. The vital data is transmitted to the analyst's terminal or device. Medical research identifies miRNAs that are predictors of each disease. The analyst's terminal predicts diseases such as myocardial infarction from data such as ncRNA expression levels, inputs this fact or the reason for the diagnosis (corresponding to "supplementary information") into a computer (corresponding to "generation"), links the vital data and supplementary information, and transmits it to the device. As already explained, the device or AI may make these diagnoses based on ncRNA expression levels. The device or the analyst's terminal transmits vital data, supplementary information, and information about the person being measured to the terminal of a healthcare professional. According to this embodiment, at the very least, the presence or absence of disease in the person being measured can be shared with healthcare professionals at a very rapid pace, which offers the convenience of earlier treatment timing and has potential for industrial application.

[0117] In at least one embodiment, vital data related to cardiovascular rhythms is acquired, and an analyst generates medically relevant supplementary information. In addition, vital data of the living body is acquired, and an analyst (including an analyst separate from the one for the cardiovascular system) generates medically relevant supplementary information. In this case, a more definitive diagnosis can be made by using the diagnosis of a rhythm expert and the results of the analysis of the living body's vital data. For example, arrhythmias can be diagnosed using vital data related to rhythm, and the precursors of myocardial infarction can be diagnosed by miRNA analysis. This supplementary information is linked to information about the person being measured and transmitted to the device or the cloud. Healthcare professionals can view both the vital data related to rhythm and the results of the miRNA analysis. Therefore, healthcare professionals can make a more definitive diagnosis or confidently explain the diagnosis to the person being measured.

[0118] In at least one embodiment, the above embodiments are not limited to ncRNA. Methods involving blood collection and detection of hormones from serum are also possible. Hormone detection may include ELISA, RIA (radioimmunoassay), CLIA (chemiluminescence immunoassay), and liquid chromatography-mass spectrometry. Detecting renin and aldosterone levels can diagnose primary aldosteronism and renovascular hypertension, and is useful in the diagnosis and treatment of cardiovascular diseases. Measuring TSH may diagnose hypothyroidism or hyperthyroidism, and measuring cortisol / ACTH may diagnose Cushing's syndrome or Addison's disease. These vital data can also be transmitted to the analyst's terminal or device for analysis.

[0119] The following is an overview of the embodiments described above.

[0120] A method in which the measuring device is We obtain vital data related to cardiovascular rhythms, The vital data is transmitted to the analyst's terminal or device. The analyst's terminal generates supplementary medical information, links the vital data with the supplementary information, and transmits it to the device. The device or the analyst's terminal transmits vital data, supplementary information, and information about the person being measured to the healthcare professional's terminal. method.

[0121] A method in which the measuring device is We obtain vital data related to cardiovascular rhythms, The vital data is transmitted to the analyst's terminal or device. The analyst's terminal generates supplementary medical information, links the vital data with the supplementary information, and transmits it to the device. The device or the analyst's terminal transmits vital data and associated information to the terminal of the person whose vital data is being measured. method.

[0122] A method in which the measuring device is We obtain vital data related to cardiovascular rhythms, The vital data is transmitted to the analyst's terminal or device. The analyst's terminal generates supplementary medical information, links the vital data with the supplementary information, and transmits it to the device. The device or the analyst's terminal transmits vital data, supplementary information, and information about the person being measured to the terminals of healthcare workers in the hospital with inpatient facilities. method.

[0123] The method described in any one of the above 1, The measuring device, after acquiring vital data, is sent to an analysis location different from the address of the measurement site. The analyst's terminal at the analysis site acquires vital data from the sent measuring device via wired or wireless connection. The acquired vital data is transmitted to the device. method.

[0124] The method described in any one of the above 1, The measuring device, after acquiring vital data, is sent to an analysis location different from the address of the measurement site. The analyst's terminal at the analysis site acquires vital data from the sent measuring device via wired or wireless connection. The acquired vital data is transmitted to the device. The measuring device can be reused to measure another subject. method.

[0125] The method described in any one of the above 1, The measuring device transmits vital data wirelessly to the analyst's terminal or device. method.

[0126] The invention disclosed herein only needs to achieve at least one of the effects described above.

[0127] It is a system, If one or more accounts from a medical device manufacturer, a pharmaceutical company, or a medical device or pharmaceutical wholesaler submit information about a cardiovascular lecture, Accounts of practicing physicians and accounts of core hospitals receive information about lectures. When a general practitioner's account that received information about a lecture is matched with a core hospital's account, the core hospital's account can search for or refer to the medical information uploaded by the general practitioner's account. system.

[0128] In at least one embodiment, the system can register accounts for medical device manufacturers, pharmaceutical companies, medical device or pharmaceutical wholesalers, practicing physicians, and core hospitals. Medical device manufacturers include businesses that produce, use, transfer, import or export medical devices, regardless of their form. Pharmaceutical companies include businesses that produce, use, transfer, import or export pharmaceuticals, regardless of their form. Pharmaceutical or pharmaceutical wholesalers include businesses that transfer, import or export medical devices or pharmaceuticals, regardless of their form. Practicing physicians include clinics, regardless of their form. That is, medical facilities that primarily provide outpatient care, and even if they have inpatient facilities, include medical facilities with 19 beds or fewer. Clinics are understood to include individual physicians. They are sometimes called local doctors or clinics. They provide primary care (outpatient care for colds, lifestyle-related diseases, minor illnesses, etc.). Core hospitals include hospitals with tertiary emergency care functions, regardless of their form. Specifically, this includes regional medical support hospitals (hospitals that accept patients referred from clinics and other hospitals, and have functions such as reverse referral, joint use, emergency care, and training), designated function hospitals (hospitals that have advanced medical care and research / training functions and have been approved by the Ministry of Health, Labour and Welfare), and core clinical training hospitals (hospitals that meet standards in terms of the number of inpatient cases, emergency care, and training system, etc., as a base for providing education for resident physicians). An account in the system includes accounts that have registration information and access rights in the name of the business or medical institution or the name of its employees. For example, if medical device manufacturer A, an account can be created as company A. Furthermore, employee A can create an account as employee A. Furthermore, employee A can register as employee A, their position, etc., as registration information. If it is a medical institution, an account can be created in the name of B General Hospital, C Clinic, medical corporation B, etc. Furthermore, employee C of medical corporation B can create an account as employee C. Similar to the account for a limited company, employee C can register that they are a registered specialist (for example, a specialist in cardiology), which hospital they belong to, their position, etc. The system is considered to include not only programs, but also applications or programs that operate on the Internet of Things (Web), and the code that makes the system work.

[0129] In at least one embodiment, one or more accounts belonging to a medical device manufacturer, a pharmaceutical company, or a medical device or pharmaceutical wholesaler transmit information about a lecture on cardiovascular health. These accounts create the lecture information. A lecture, regardless of its form, includes any meeting in which experts or specialists speak to a large audience on a particular topic. The format can be diverse, including education, awareness-raising, advertising, and research reports, and the content can be any of these. The number of attendees can also be any number. Even if there are no attendees, information intended to hold a lecture constitutes lecture information. The lecture information includes the topic of the lecture, the date and time of the lecture, the method of implementation (online or in-person meeting / interview), the method of participation (URL for joining the meeting online, or the venue address for in-person meetings), and one or more combinations of these. The accounts create this information and transmit the lecture information through the system. The transmitted information is searchable or viewable by other accounts registered in the system and is sent to those accounts. Other accounts can view the lecture information. In other words, the system can send and receive lecture information linked to an account.

[0130] In at least one embodiment, a practicing physician's account and a core hospital's account receive lecture information. The practicing physician's account and the core hospital's account receive the previously transmitted lecture information. Receiving may be synonymous with being searchable or retrievalable. That is, in some embodiments, the transmitted lecture information is sent to the email address registered to the account. On the other hand, in some embodiments, the account can search or view the lecture information by searching the system. In either embodiment, the account will be able to receive the lecture information. In other words, the system can send and receive lecture information associated with an account.

[0131] In at least one embodiment, a lecture described in the lecture information is held. One or more of the following participate in the lecture: a medical device manufacturer, a pharmaceutical company, or a wholesaler of medical devices or pharmaceuticals. In addition, general practitioners and core hospitals participate. In other words, people belonging to these organizations participate in the lecture. At that time, the system provider matches general practitioners with core hospitals. That is, it identifies general practitioners and core hospitals that agree to collaborate in order to establish hospital-clinic collaboration (also called regional medical collaboration or regionally self-contained medical care). This agreement is also called matching. In this collaboration, the general practitioner is responsible for initial treatment and, if necessary, issues a referral letter and introduces the patient to the core hospital. The core hospital is responsible for specialized treatment, hospitalization, and surgery, and after treatment, it introduces the patient back to the general practitioner (also called follow-up). The system provider finds general practitioners and core hospitals that agree to engage in such collaboration. In other words, the system matches the two parties and identifies the matching practitioners and core hospitals. Matching is not limited to matching only at the location or time the lecture is held, but also includes matching before and after the lecture. Furthermore, even if the lecture is not the trigger, if an agreement to collaborate with a hospital is reached, it will be considered that a match has been made. In the case of online lectures, the system displays mutual account information so that it can be viewed by both parties, and if a hospital or clinic wishes to collaborate, they can grant permission on the terminal operating their account, allowing for easy matching via electronic means.

[0132] In at least one embodiment, the above explanation applies when the account of a practicing physician who received the lecture information matches the account of a core hospital.

[0133] In at least one embodiment, a practicing physician's account can upload medical information. A terminal operating the practicing physician's account can upload medical information (synonymous with "medical-related supplementary information") electronically. Uploading includes uploading to the system's database, server, cloud, etc. It is also possible that an analyst's terminal generates medical-related supplementary information, links vital data with the supplementary information, and uploads it to the system's database, server, cloud, etc. Alternatively, the analyst's terminal may generate medical-related supplementary information, link vital data with the supplementary information, and transmit this information to the terminal operating the practicing physician's account. The terminal operating the practicing physician's account can authorize the uploading of this information, and if authorized, the information is uploaded.

[0134] In at least one embodiment, when a practicing physician's account that received lecture information matches with a core hospital's account, the core hospital's account searches for or references the medical information uploaded by the practicing physician's account. When a match is made, the system can identify the matching practicing physician's account and core hospital's account. If the practicing physician's account has uploaded medical information, the system changes the viewing permissions for the uploaded medical information so that the terminal operated by the matched core hospital's account can search for or reference that medical information. In other words, as a general rule, the uploaded medical information is processed to restrict viewing so that it cannot be searched for or referenced from terminals operated by accounts other than the account that uploaded it. Access control and restrictions on viewing permissions are implemented. As a non-comprehensive example of access control, MAC (Mandatory Access Control), DAC (Discretionary Access Control), RBAC (Role-Based Access Control), and ABAC (Attribute-Based Access Control) can be used as needed. On the other hand, the core hospital's account that performed the matching is freed from access control and restrictions on viewing permissions. Therefore, the terminal operated by the account of the core hospital that has been matched can search and view the medical information uploaded by the account of the practicing physician. The system sends, as needed, a notification that medical information has been uploaded, the content of the uploaded medical information, or a combination thereof, to the contact method registered to the account (including email, SMS, and SNS). According to this embodiment, at the very least, there is the convenience and industrial applicability of automatically facilitating hospital-clinic collaboration between matched medical institutions. Furthermore, there is the advantage that a comprehensive system can be constructed that efficiently performs matching and facilitates hospital-clinic collaboration by utilizing the information processing framework used by medical device manufacturers and the like for lectures. This effect was not known in conventional technology and has novelty and remarkable effects.Furthermore, if the core hospital account is matched with the accounts of multiple practicing physicians, the terminal operating the core hospital account can view or search the medical information uploaded by each practicing physician's account. On the other hand, in at least one embodiment, practicing physician accounts cannot be matched with each other, and therefore cannot view or search the medical information uploaded by each account. This method prevents the leakage of personal information from each practicing physician's medical information, and allows it to be viewed or disclosed only to the matched core hospital account, thus enabling the sharing of patient personal information only to the extent necessary to fulfill the purpose of medical treatment. Therefore, patients can also confidently authorize the provision of their medical information for this service. Such effects were not known in conventional technology and possess novelty and remarkable effectiveness.

[0135] In at least one embodiment, searching or referencing is performed via a matching account that is accessible to one core hospital account and allows two or more practicing physician accounts to upload medical information. To efficiently link the medical information uploaded by practicing physician accounts, additional accounts are created. These accounts are called hospital-clinic collaboration accounts. A hospital-clinic collaboration account can register one core hospital account and multiple practicing physician accounts. In other words, these accounts can be linked to that hospital-clinic collaboration account. A hospital-clinic collaboration account can be described as an access-controlled database or system that allows users to view medical information uploaded by registered practicing physician accounts in a unified manner. That is, it may take the form of a hospital-clinic collaboration account, or it may not necessarily exist as an account; an access-controlled database or system that achieves the same effect is sufficient.

[0136] In at least one embodiment, the account of one practicing physician cannot access medical information uploaded by the accounts of other practicing physicians. For this embodiment, refer to the method described in any of the foregoing embodiments. That is, practicing physician accounts cannot be matched with each other, and cannot view or search the medical information uploaded by each other's accounts. Access restrictions are not lifted for practicing physician accounts. This method prevents the leakage of personal information from each practicing physician's medical records. In other words, even if practicing physicians transmit medical information to each other, other practicing physicians do not participate in medical treatment, so such transmission may not be considered to be for the purpose of medical treatment. In other words, since such transmission may be problematic from the standpoint of protecting personal information, the system makes it impossible to perform such an act. Such effects were not known in the prior art and have novelty and remarkable effects.

[0137] In at least one embodiment, the core hospital account can access the medical information uploaded by all practicing physician accounts. The core hospital account has its access restrictions removed for all of the matching practicing physician accounts. This allows the core hospital to view or search the medical information transmitted by the terminal operating all the matching practicing physician accounts. In other words, the core hospital can comprehensively screen the medical information of practicing physicians with whom it has collaborated within a single system. Healthcare professionals at the core hospital can output or view the medical information of all matching practicing physicians in one place using the core hospital account or the hospital-clinic collaboration account. Therefore, there is no need to use different systems for each practicing physician, improving the convenience of screening. Such effects were not known in conventional technology and represent novelty and remarkable benefits.

[0138] In at least one embodiment, the core hospital can, if necessary, identify patients who should be treated or intervened with through the above screening. The core hospital can view medical information and diagnose whether the patient is in a condition requiring treatment or intervention. The terminal operating the core hospital's account can view medical information and identify the patient's name, past medical record data, vital data, medically relevant supplementary information, and the general practitioner responsible for that patient. The core hospital can encourage the general practitioner to refer the patient to the core hospital. The general practitioner issues a referral letter to the patient and encourages them to visit the core hospital. As a result, the patient's need for intervention is detected early, and they can receive prompt intervention at a high-level medical institution, thus preventing the disease from worsening or worsening, and improving the prognosis. The terminal operating the core hospital's account can communicate with the terminal operating the general practitioner's account via the system. Specifically, it can identify medical information and send a message indicating that one or more of the following are necessary for the patient corresponding to that medical information: treatment, examination, or intervention. It can also send the basis for this determination. This method automates most of the process from hospital-clinic collaboration to the writing of referral letters, thereby improving convenience for healthcare professionals. Such effects were not known with conventional technologies, making it novel and highly effective.

[0139] It is a system, If one or more accounts from a medical device manufacturer, a pharmaceutical company, or a medical device or pharmaceutical wholesaler submit information about a cardiovascular lecture, Accounts of practicing physicians and accounts of core hospitals receive information about lectures. When a general practitioner's account that received information about a lecture is matched with a core hospital's account, the core hospital's account can search for or refer to the medical information uploaded by the general practitioner's account. system.

[0140] The above system, Searching or referencing is done through a matching account that allows one core hospital account to access information and allows two or more practicing physicians to upload medical information. The aforementioned practicing physician's account cannot access medical information uploaded by other practicing physicians' accounts. The aforementioned core hospital's account allows access to medical information uploaded by all practicing physicians' accounts. system.

[0141] A method in which the measuring device is Obtain vital data related to respiratory or cardiovascular rhythms, The measuring device is sent to the service provider. The service provider's terminal acquires vital data from the measuring device and transmits the vital data to a server or cloud. The analyst's terminal receives or retrieves vital data from a server or cloud, generates analysis information for the vital data, and transmits the analysis information to the server or cloud. A method by which a healthcare professional's terminal can obtain or retrieve analytical information from a server or cloud.

[0142] A method relating to the above, further comprising providing analytical information to the person being measured.

[0143] The subject's device receives the vital data. The subject's device transmits vital data to the healthcare professional. Vital data is received by a healthcare professional or device (or cloud or server), Healthcare professionals transmit generated medical-related supplementary information, vital data, and other supplementary information to the person being measured. method.

[0144] As a result of sincere consideration by the inventors, in at least one embodiment, vital data related to cardiovascular rhythms can be replaced with vital data related to respiratory rhythms. In this case, the specialist may be a respiratory physician. Using a spirometer, the patient's respiratory vital capacity (VC), forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and forced expiratory ratio in one second (FEV1%) can be calculated. From these values, a diagnosis of asthma, chronic obstructive pulmonary disease [COPD], or interstitial pneumonia can be made, or the need for intervention or examination can be determined. In other words, the "measuring device" can be read as "a device for measuring respiratory vital data (including a spirometer)," "vital data related to cardiovascular rhythms" as "respiratory vital data," "analyst's terminal" as "a terminal operable by a respiratory physician," and "medical-related supplementary information" as "supplementary information related to respiratory diseases." This makes it possible to provide a system that enables immediate diagnosis and collaboration between hospitals and clinics not only for heart diseases but also for respiratory diseases. This effect is unprecedented and possesses novelty and remarkable efficacy, as it was not known in any conventional technology.

[0145] It is a system, When a practicing physician's account and a core hospital's account are matched, the core hospital's account can search for or access the medical information uploaded by the practicing physician's account. system.

[0146] The above system, Searching or referencing is done through a matching account that allows one core hospital account to access information and allows two or more practicing physicians to upload medical information. The aforementioned practicing physician's account cannot access medical information uploaded by other practicing physicians' accounts. The aforementioned core hospital's account allows access to medical information uploaded by all practicing physicians' accounts. system.

[0147] The above system, If one or more accounts from a medical device manufacturer, a pharmaceutical company, or a medical device or pharmaceutical wholesaler submit information about a cardiovascular lecture, A system where individual practitioners' accounts and core hospital accounts receive information about lectures. It also includes.

[0148] The above system, The previous matching was If one or more accounts from a medical device manufacturer, a pharmaceutical company, or a medical device or pharmaceutical wholesaler submit information about a cardiovascular lecture, Accounts of practicing physicians and accounts of core hospitals receive information about lectures. This involves matching the accounts of practicing physicians who received the aforementioned lecture information with the accounts of core hospitals. system.

[0149] The invention disclosed herein only needs to achieve at least one of the effects described above. [Explanation of symbols]

[0150] 1, 2… Heart sound analysis system 5… Communication lines 10... Heart sound measuring section 20… Heart sound data storage unit 30… Heart sound spectrum calculation unit 40… Abnormal State Detection Unit 50… Presentation part 51... Presentation operation section 60, 61... Transmitter / Receiver Unit 100... Control Processing Unit 110… Terminal 120… Server

Claims

1. A collaborative system, When the accounts of practicing physicians registered in the aforementioned system are matched with the accounts of core hospitals, Create a hospital-clinic collaboration account that links the account of the core hospital (1) with the accounts of multiple practicing physicians. Through the hospital-clinic collaboration account, accounts of two or more practicing physicians can upload medical information to the aforementioned system. The aforementioned practicing physician's account cannot view medical information uploaded by other practicing physicians' accounts. The linked system allows for the modification of viewing permissions for uploaded medical information so that devices operated by accounts of matched core hospitals can search for or access it. The aforementioned core hospital account can view medical information uploaded by the matching practicing physician's account, for which the physician has viewing privileges. system.

2. A collaborative system, One or more accounts of medical device manufacturers, pharmaceutical companies, or medical device or pharmaceutical wholesalers registered in the aforementioned system transmit lecture information through the aforementioned system. The accounts of practicing physicians and core hospitals registered in the aforementioned system receive lecture information through the aforementioned system. When the account of a practicing physician who received the aforementioned lecture information matches with the account of a core hospital, Create a hospital-clinic collaboration account that links the account of the core hospital (1) with the accounts of multiple practicing physicians. Through a hospital-clinic collaboration account, accounts of two or more practicing physicians can upload medical information to the system, and an account of one core hospital can view the medical information. The aforementioned practicing physician's account cannot view medical information uploaded by other practicing physicians' accounts. The linked system allows for the modification of viewing permissions for uploaded medical information so that devices operated by accounts of matched core hospitals can search for or access it. The aforementioned core hospital account can view medical information uploaded by the matching practicing physician's account, for which the physician has viewing privileges. system.

3. The cooperation system according to Claim 1, The aforementioned core hospital's account will access medical information and diagnose patients who require treatment or intervention. The system transmits to the practicing physician's account that the patient corresponding to that medical information requires one or more of the following: treatment, examination, or intervention. system.

4. The collaborative system according to Claim 1, wherein the medical information uploaded by the practicing physician's account is: Includes one of the following: patient name, medical record data, vital data, medical-related supplementary information, or the name of the general practitioner treating the patient. system.

5. A collaboration method performed by a collaboration system, When the accounts of practicing physicians registered in the collaborative system are matched with the accounts of core hospitals, Create a hospital-clinic collaboration account that links the account of the core hospital (1) with the accounts of multiple practicing physicians. Through a hospital-clinic collaboration account, accounts of two or more practicing physicians can upload medical information to the system, and an account of one core hospital can view the medical information. The aforementioned practicing physician's account cannot view medical information uploaded by other practicing physicians' accounts. The linked system allows for the modification of viewing permissions for uploaded medical information so that devices operated by accounts of matched core hospitals can search for or access it. The aforementioned core hospital account can view medical information uploaded by the matching practicing physician's account, for which the physician has viewing privileges. method.

6. A collaboration method performed by a collaboration system, One or more accounts registered in the linked system, including accounts of medical device manufacturers, pharmaceutical companies, and medical device or pharmaceutical wholesalers, transmit information about cardiovascular lectures through the system. The accounts of practicing physicians and core hospitals registered in the aforementioned system receive lecture information through the aforementioned system. When the account of a practicing physician who received the aforementioned lecture information matches with the account of a core hospital, Create a hospital-clinic collaboration account that links the account of the core hospital (1) with the accounts of multiple practicing physicians. Through a hospital-clinic collaboration account, accounts of two or more practicing physicians can upload medical information to the system, and an account of one core hospital can view the medical information. The aforementioned practicing physician's account cannot view medical information uploaded by other practicing physicians' accounts. The linked system allows for the modification of viewing permissions for uploaded medical information so that devices operated by accounts of matched core hospitals can search for or access it. The aforementioned core hospital account can view medical information uploaded by the matching practicing physician's account, for which the physician has viewing privileges. method.

7. A collaboration method performed by the collaboration system according to Claim 5, The aforementioned core hospital's account can access medical information and diagnose or identify patients who should be treated or intervened with. The system transmits to the practicing physician's account that the patient corresponding to that medical information requires one or more of the following: treatment, examination, or intervention. method.

8. A collaboration method performed by the collaboration system according to Claim 5, wherein the medical information uploaded by the practicing physician's account is Includes one of the following: patient name, medical record data, vital data, medical-related supplementary information, or the name of the general practitioner treating the patient. How to connect.

9. A computer-readable recording medium in a device comprising a processor, the recording medium storing a program that causes the processor to execute the method according to either claim 5 or 6.

10. A program comprising instructions for causing a processor to execute the method according to either claim 5 or 6.

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