An OSA cloud-plus-end intelligent auxiliary management system and method

Abstract

The embodiment of the present application provides an OSA cloud-plus-end intelligent auxiliary management system and method. The system includes: an OSA patient end, an OSA doctor end, an OSA expert end, and a cloud server; the OSA patient end is used to obtain the sleep data of the OSA patient and send the sleep data to the cloud server; the sleep data includes the sleep condition and basic information of the OSA patient; the cloud server is used to receive the sleep data, and determine whether the sleep symptoms of the OSA patient are mild, dangerous or high-risk according to the sleep data, preset consensus guideline information and evaluation algorithm; obtain corresponding diagnosis and treatment opinions according to the sleep symptoms of the OSA patient, and push the diagnosis and treatment opinions to the OSA patient end, the OSA doctor end or the OSA expert end; the OSA doctor end is used to implement the corresponding diagnosis and treatment plan according to the diagnosis and treatment opinions; the OSA expert end is used to initiate a consultation for the OSA patient according to the diagnosis and treatment opinions. The OSA cloud-plus-end intelligent auxiliary management system and method provided in the embodiment of the present application can efficiently assist OSA doctors in OSA diagnosis and treatment.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of medical technology, and in particular to an OSA cloud-plus-end intelligent auxiliary management system and method. Background Art

[0002] Sleep can eliminate fatigue and replenish energy for the human body. Good sleep helps improve people's quality of life. In addition, the quality of sleep is closely related to human health. If there is a problem with sleep, it will cause potential health risks. Sleep apnea is a disease associated with major neurocognitive and cardiovascular sequelae. People with obstructive sleep apnea (OSA) will experience uncontrollable snoring, apnea and shallow breathing during sleep. They will repeatedly experience hypoxemia, hypercapnia and sleep structure disorders at night. When it develops to a certain extent, it often causes daytime sleepiness, cardiovascular and cerebrovascular complications and other multi-organ damage, which seriously affects the quality of life and life span of OSA patients.

[0003] We should be aware of the importance of early detection and early treatment of the disease, but due to limited clinical experience, the diagnosis and treatment levels of some OSA doctors vary. Even with consensus guidelines for auxiliary diagnosis and treatment, there is still a risk of delaying the disease or over-treatment.

[0004] Therefore, there is an urgent need for an efficient diagnosis and treatment auxiliary tool to assist OSA doctors in the diagnosis and treatment of OSA. Summary of the invention

[0005] In view of the above problems, the embodiments of the present application provide an OSA cloud-plus-end intelligent auxiliary management system and method, which can efficiently assist OSA doctors in diagnosing and treating OSA.

[0006] In a first aspect, an embodiment of the present application provides an OSA cloud-plus-end intelligent auxiliary management system, including: an OSA patient end, an OSA doctor end, an OSA expert end, and a cloud server;

[0007] The OSA patient terminal is used to obtain the sleep data of OSA patients and send the sleep data to the cloud server; the sleep data includes the sleep status and basic information of OSA patients. In addition, patients can also learn about the diagnosis and treatment lectures of OSA industry doctors and experts or doctors' follow-up or rehabilitation treatment through the OSA patient terminal;

[0008] The cloud server is used to receive sleep data, and determine whether the sleep symptoms of OSA patients are mild, dangerous, or high-risk based on the sleep data, preset consensus guideline information, and evaluation algorithms; obtain corresponding diagnosis and treatment opinions based on the sleep symptoms of OSA patients, and push the diagnosis and treatment opinions to OSA patients, OSA doctors, and / or OSA experts in a graded manner. In addition, this cloud server will simultaneously optimize the diagnostic model based on the increasing sleep data of patients, and provide more accurate intelligent assistance solutions;

[0009] The OSA doctor end is used to implement the corresponding diagnosis and treatment plan according to the diagnosis and treatment opinions. Obtain the corresponding diagnosis and treatment opinions based on the sleep symptoms of OSA patients, and push the diagnosis and treatment opinions to the graded OSA doctor end and / or OSA expert end; the OSA doctor end is used to implement the corresponding diagnosis and treatment plan and / or further biochemical testing plan according to the diagnosis and treatment opinions;

[0010] The OSA expert terminal is used to consult with difficult OSA patients based on diagnosis and treatment opinions, generate expert diagnosis and treatment plans based on the diagnosis and treatment results, and implement further biochemical testing plans and / or diagnosis and treatment plans.

[0011] In a possible implementation, the diagnosis and treatment opinions are pushed to the OSA patient, OSA doctor or OSA expert, including:

[0012] When the sleep symptoms of OSA patients are mild, the cloud server obtains the sleep improvement suggestions corresponding to the mild symptoms and pushes the sleep improvement suggestions to the OSA patients as diagnosis and treatment suggestions;

[0013] When the sleep symptoms of an OSA patient are dangerous, the cloud server obtains the corresponding examination suggestions, sends a warning of the dangerous situation to the patient through the OSA patient terminal, and pushes the examination suggestions to the OSA doctor terminal as diagnosis and treatment advice;

[0014] When the sleep symptoms of an OSA patient are high-risk, the cloud server will issue a high-risk situation alert to the patient through the OSA patient side, send monitoring instructions to the OSA doctor side, instruct the OSA doctor to transfer the OSA patient to the sleep breathing center, and generate a consultation request instruction, and send the consultation request instruction to the OSA expert side; the consultation request instruction includes the sleep data of the OSA patient.

[0015] In a possible implementation, the examination recommendation includes at least one of upper airway three-dimensional reconstruction CT examination, level I monitoring, and level II monitoring.

[0016] In a possible implementation, the risk includes low risk and medium risk. When the cloud server obtains the inspection suggestion corresponding to the risk, it is specifically used to:

[0017] When the sleep symptoms of OSA patients are low risk, the cloud server determines that the examination recommendation corresponding to low risk is level I monitoring;

[0018] When the sleep symptoms of OSA patients are moderate-risk, the cloud server determines that the corresponding examination recommendations for moderate risk are upper airway three-dimensional reconstruction CT examination and / or level II monitoring.

[0019] In a possible implementation, a remote monitoring device is also included;

[0020] When the examination recommendation is level I monitoring, the remote monitoring device is used to obtain the real-time sleep data of OSA patients and send the real-time sleep data to the cloud server;

[0021] The cloud server is used to receive the real-time sleep data and determine the real-time sleep symptoms of the OSA patient based on the real-time sleep data.

[0022] In a possible implementation, after receiving the diagnosis and treatment opinion, the OSA doctor terminal is also used to:

[0023] When the severity of the OSA patient's condition is judged to be high-risk according to the diagnosis and treatment opinions, a consultation request is initiated to the OSA expert terminal;

[0024] The OSA expert side receives the consultation request sent by the OSA doctor side, initiates a consultation based on the consultation request, and generates a corresponding diagnosis and treatment plan based on the consultation results.

[0025] In a possible implementation, after the OSA patient obtains the sleep data of the patient, it is also used to:

[0026] Determine whether the sleep symptoms of OSA patients are asymptomatic based on sleep data;

[0027] If yes, it indicates an asymptomatic diagnosis;

[0028] If not, execute the step of sending the sleep data to the cloud server.

[0029] In a second aspect, an embodiment of the present application provides an OSA assisted management method, including:

[0030] Obtain sleep data of OSA patients, including sleep conditions and basic information of OSA patients;

[0031] Determine whether sleep symptoms in OSA patients are mild, critical, or high-risk based on sleep data, pre-set consensus guideline information, and assessment algorithms;

[0032] Corresponding diagnosis and treatment opinions are determined based on the sleep symptoms of OSA patients, and the diagnosis and treatment opinions are pushed to the OSA patient side, the OSA doctor side or the OSA expert side, so that the OSA doctor side can implement the corresponding diagnosis and treatment plan and / or further biochemical testing plan based on the diagnosis and treatment opinions, or the OSA expert side can initiate a consultation with the OSA patient based on the diagnosis and treatment opinions.

[0033] In a possible implementation, after receiving the diagnosis and treatment opinion, the OSA doctor also includes:

[0034] When the severity of the OSA patient's condition is judged to be high-risk according to the diagnosis and treatment opinions, a consultation request is initiated to the OSA expert terminal;

[0035] The OSA expert side receives the consultation request sent by the OSA doctor side, initiates a consultation based on the consultation request, and generates a corresponding diagnosis and treatment plan based on the consultation results.

[0036] In a possible implementation, the diagnosis and treatment opinions are pushed to the OSA patient, OSA doctor or OSA expert, including:

[0037] When the sleep symptoms of OSA patients are mild, obtain the sleep improvement suggestions corresponding to the mild symptoms, and push the sleep improvement suggestions to the OSA patients as diagnosis and treatment suggestions;

[0038] When the sleep symptoms of an OSA patient are dangerous, obtain the corresponding examination suggestions, and push the examination suggestions as diagnosis and treatment opinions to the OSA doctor;

[0039] When the sleep symptoms of an OSA patient are high-risk, a monitoring instruction is sent to the OSA doctor, instructing the OSA doctor to transfer the OSA patient to a sleep breathing center, and a consultation request instruction is generated and sent to the OSA expert; the consultation request instruction includes the sleep data of the OSA patient.

[0040] In a possible implementation, the method further includes: acquiring real-time sleep data of the OSA patient, and determining the real-time sleep symptoms of the OSA patient based on the real-time sleep data.

[0041] In a possible implementation, after obtaining the sleep data of the OSA patient, the method further includes:

[0042] Determine whether the sleep symptoms of OSA patients are asymptomatic based on sleep data;

[0043] If so, the asymptomatic diagnosis result is displayed on the OSA patient side;

[0044] If not, perform the steps to determine whether the sleep symptoms of OSA patients are mild, critical, or high-risk based on the sleep data, pre-set consensus guideline information, and assessment algorithms.

[0045] The OSA cloud-plus-end intelligent auxiliary management system and method provided in the embodiments of the present application obtain the sleep data of the OSA patient through the OSA patient end. The cloud server preliminarily determines the sleep symptoms of the OSA patient based on the sleep data, consensus guidelines and evaluation algorithms of the OSA patient, obtains corresponding diagnosis and treatment opinions based on the severity of the sleep symptoms, and sends them to different processing ends. The corresponding OSA patients, OSA doctors or OSA experts execute the diagnosis and treatment plan or further consult, so that a preliminary diagnosis and determination of the corresponding treatment plan can be made directly based on the sleep data of the OSA patient, thereby efficiently assisting OSA doctors in the diagnosis and treatment of OSA.

[0046] The above description is only an overview of the technical solution of the embodiment of the present application. In order to more clearly understand the technical means of the embodiment of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the embodiment of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the technical solutions of the embodiments of the present application, a brief introduction will be given below to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0048] Figure 1 It is a schematic diagram of a system structure provided in an embodiment of the present application.

[0049] Figure 2 It is a schematic diagram of a system architecture provided in an embodiment of the present application.

[0050] Figure 3 It is a communication schematic diagram provided in an embodiment of the present application.

[0051] Figure 4 It is a system flow diagram provided in an embodiment of the present application.

[0052] Figure 5 It is a flow chart of a method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0054] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which this application belongs; the terms used in the specification of the application are only for the purpose of describing specific embodiments and are not intended to limit this application; the terms "including" and "having" and any variations thereof in the specification, claims and drawings of this application are intended to cover non-exclusive inclusions.

[0055] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase "embodiments" in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0056] The term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists, A and B exist at the same time, and B exists. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0057] In addition, the terms "first", "second", etc. in the specification and claims of this application or the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order, and may explicitly or implicitly include one or more of the features.

[0058] In the description of the present application, unless otherwise specified, "plurality" means more than two (including two), and similarly, "multiple groups" means more than two groups (including two).

[0059] In the description of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense. For example, the "connection" or "connection" of a mechanical structure may refer to a physical connection. For example, the physical connection may be a fixed connection, such as a fixed connection through a fixing member, such as a fixed connection through a screw, bolt or other fixing member; the physical connection may also be a detachable connection, such as a mutual snap connection or snap connection; the physical connection may also be an integral connection, such as welding, bonding or integral molding to form a connection for connection. The "connection" or "connection" of a circuit structure may refer to an electrical connection or a signal connection in addition to a physical connection. For example, it may be a direct connection, that is, a physical connection, or it may be an indirect connection through at least one intermediate element, as long as the circuit is connected, or it may be the internal connection of two elements; the signal connection may refer to a signal connection through a media medium, such as a radio wave, in addition to a signal connection through a circuit. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0060] Sleep-related respiratory disorders are common diseases with potential health risks, among which obstructive sleep apnea is the most common. The main clinical manifestations of OSA are snoring during sleep accompanied by apnea and shallow breathing, repeated hypoxemia, hypercapnia and sleep structure disorders at night. When it develops to a certain extent, it often causes daytime sleepiness, cardiovascular and cerebrovascular complications and other multi-organ damage, seriously affecting the quality of life and life expectancy of OSA patients.

[0061] Related studies have shown that the prevalence of sleep disorders and their impact on OSA patients and public health is very serious, estimated to be 35% to 40% of the adult population. Compared with those without insomnia, the cost of insomnia caused by absenteeism and short-term disability claims for each OSA patient is as high as $1,200. OSA is associated with increased utilization of healthcare resources and excessive morbidity and mortality. There is evidence that the incidence of OSA is increasing, which may be due to rising obesity rates. Related data show that the prevalence of OSA is estimated to be 3.62%, and it is estimated that 936 million (95% CI 903-970) adults aged 30-69 years (male and female) worldwide suffer from mild to severe OSA, and 425 million (399-450) adults aged 30-69 years suffer from moderate to severe OSA.

[0062] To this end, societies at all levels have also paid more and more attention to the diagnosis and treatment of sleep breathing disorders. In recent years, experts in related fields have cooperated to develop the world's first expert consensus on IoT-assisted sleep apnea syndrome. For example, respiratory, neurological, otolaryngology, general practice, endocrinology, cardiovascular and pediatrics have actively participated in the diagnosis and treatment of sleep breathing disorders, and organized experts to develop different consensus guidelines. This has played a positive role in promoting the diagnosis and treatment of sleep breathing disorders. In addition, general practice has also been involved in this work and has developed relevant guidelines. However, many OSA patients still cannot be diagnosed and treated in time. The main reason is the high prevalence, limited professional sleep breathing medicine practitioners, and the lack of a strong grassroots and wide coverage medical model.

[0063] At present, the research on the use of IoT medicine for sleep has been carried out around the world, and a lot of experience has been gained. In 2013, a corresponding consensus was published (International Journal of Respiratory Medicine, 2013, 33:241-244), and many associations and societies have also published consensus guidelines. Its comprehensive perception, reliable transmission and intelligent processing software and hardware systems have become more and more common. However, this system has not been widely used so far because it has not been developed into a simple and convenient device, and has not reflected the role of improving the homogeneous diagnosis and treatment level of grassroots OSA doctors.

[0064] Although in theory the Internet and IoT medical technologies are suitable for medical alliances and tiered diagnosis and treatment, they have not played a significant role in strengthening grassroots coverage. We have also developed a lot of OSA consensus guidelines (including grassroots), but lack software equipment that can quickly and easily improve the level of grassroots OSA doctors, especially the inability to significantly empower the homogeneous medical model of senior OSA experts ("cloud" OSA experts) and grassroots OSA doctors ("end" OSA doctors). "Cloud" OSA experts are still needed to follow the existing master-apprentice inheritance model to train and improve the level of "end" OSA doctors, and "end" OSA doctors still need to spend a lot of time memorizing consensus guidelines and what teachers teach. However, after deducting the time and energy spent on learning, the "value for money" is not obvious. The main reasons are: (1) There is a lack of a model for "cloud" OSA experts to efficiently train "end" OSA doctors; (2) There is a lack of software equipment to inherit and integrate procedural knowledge; (3) There is a lack of a "cloud plus end" medical platform.

[0065] In order to solve this problem, the inventor has developed "an OSA cloud-plus-end intelligent auxiliary management system", which aims to simplify complex problems, digitize simple problems, program digital problems, and systematize program problems by applying cloud-plus-end system equipment. The consensus guidelines are integrated into it, and a systematic process is formed through simple, convenient, digitizable and programmable equipment, which becomes a "value for money" tool loved by all OSA doctors (OSA doctors with high and low seniority), assisting OSA doctors in diagnosis and treatment. This new "cloud-plus-end" systematic model can bring greater convenience to "end" OSA doctors. It takes very little time to learn, and there is no need to memorize consensus guidelines. It helps to integrate the procedural knowledge passed down from master to apprentice, and quickly improve the homogeneous medical level of OSA. Therefore, through the OSA cloud-plus-end intelligent auxiliary management system provided by the embodiment of the present application, the current medical and health care model with varying levels can eventually be improved to a modern assembly line project that meets national and even international standards through the "cloud-plus-end" model.

[0066] Specifically, the embodiments of the present application provide an OSA cloud-plus-end intelligent auxiliary management system and method, which, through multi-end interactive collaboration, assists OSA doctors in performing graded diagnosis and treatment of OSA patients' conditions, and implements treatment plans according to corresponding diagnosis and treatment opinions. The OSA cloud-plus-end intelligent auxiliary management system and method provided in the embodiments of the present application are simple, convenient, efficient and accurate, and can efficiently assist OSA doctors in diagnosing and treating OSA.

[0067] In order to make the technical personnel in the technical field better understand the present application, the technical solution in the embodiment of the present application will be described clearly and completely in conjunction with the accompanying drawings. It should be noted that different technical features in the present application can be combined with each other without conflict.

[0068] Figure 1It is a schematic diagram of a system structure provided by an embodiment of the present application, including: an end OSA doctor as an "end" (using a mobile terminal or computer to interact with an OSA doctor) and a data center, a cloud platform and a cloud OSA expert as a "cloud". The "cloud" is a virtual computing resource that can be self-maintained and managed, and is a large server cluster. It includes computing servers, storage servers, broadband resources, etc. The "cloud" end here specifically refers to a collection of computers participating in cloud computing for OSA diagnosis and treatment management. The cloud is an intermediate carrier of software and operating systems, which can solve the problems of installation, maintenance, hardware resource requirements, etc. when using software in the past and the problems of using efficiency, and realize the real and complete greening of software. Through the "cloud", it is possible to conduct deep mining of massive information under the cloud computing framework, extract inquiry data and examination item data related to OSA diagnosis and treatment, build its data model, and provide interactive sleep information monitoring and online medical services based on the Internet of Things. The "end" is a "end" software applet (i.e., an intelligent auxiliary diagnosis and treatment OSA applet) downloaded by an OSA doctor's smartphone, PAD or laptop, interacting with the "cloud" in real time online, and using the applet running on the "cloud" platform to assist in the diagnosis and treatment of special diseases. The backend of the mini program can also be developed in Java, and OSS (Object Storage Service) is used for data storage. After uploading to the cloud computing, it can monitor the data, analyze and deeply mine it, and draw reference opinions for auxiliary diagnosis and treatment, and ultimately assist all OSA doctors to easily and conveniently diagnose and treat the disease according to its process-based intelligent system.

[0069] The cloud in the cloud-plus-end platform of the embodiment of the present application refers to cloud technology, including the integration of edge cloud or fog computing (referred to as "fog-edge cloud"), and the coordination of network technology links based on WeChat "cloud". And it is endowed with intelligent auxiliary functions to generate reference opinions such as diagnosis and treatment. The cloud-plus-end platform refers to the intelligent analysis of massive information under the cloud computing framework by OSA experts of the medical center ("cloud" OSA experts) through the "cloud", extracting OSA parameter characteristics, constructing data models of subjects, and carrying out online medical services. All physicians can interact with the "cloud" in real time online through the "end" device page selection key to carry out "cloud-plus-end" OSA prevention and treatment. That is, the "cloud" OSA experts guide the "end" OSA doctors (including community OSA doctors) of the branch center to prevent and treat OSA in a more refined, dynamic and "intelligent" manner.

[0070] Figure 2 is a schematic diagram of a system architecture provided by an embodiment of the present application, such as Figure 2As shown, an OSA cloud-plus-terminal intelligent auxiliary management system 1 provided in an embodiment of the present application may include: an OSA patient terminal 10, an OSA doctor terminal 20, an OSA expert terminal 30 and a cloud server 40. Among them, the OSA patient terminal 10 may be a terminal such as a smartphone, a tablet computer or a laptop computer used by an OSA patient, and the corresponding software functions are implemented based on the applet for OSA patients running on the application platform in the terminal. The OSA doctor terminal 20 may be a terminal such as a smartphone, a tablet computer or a laptop computer used by an OSA doctor who initially evaluates an outpatient clinic, and the corresponding software functions may also be implemented based on the applet for OSA doctors who evaluates an OSA expert. Similarly, the OSA expert terminal 30 may be a terminal such as a smartphone, a tablet computer or a laptop computer used by an OSA expert-level doctor who evaluates an OSA expert, and the corresponding software functions may also be implemented based on the applet for OSA expert-level doctor who evaluates an OSA expert running on the application platform in the terminal. The cloud server 40 can receive data from the OSA patient end 10, the OSA doctor end 20 and the OSA expert end 30 through a communication link, process the data from the OSA patient end 10, the OSA doctor end 20 and the OSA expert end 30, and send corresponding instructions to the corresponding terminals.

[0071] Figure 3 This is a communication diagram provided by an embodiment of the present application. Figure 3 The communication process among the OSA patient terminal 10, the OSA doctor terminal 20, the OSA expert terminal 30 and the cloud server 40 in the OSA cloud-plus-terminal intelligent assistance management system 1 of this embodiment is described.

[0072] The OSA patient terminal 10 is used to obtain the sleep data of the OSA patient and send the sleep data to the cloud server 40 . The sleep data includes the sleep condition and basic information of the OSA patient.

[0073] Optionally, before obtaining the sleep data of the OSA patient, the OSA patient terminal 10 can enter the OSA cloud-plus-terminal intelligent auxiliary management system 1 provided in the embodiment of the present application by scanning the QR code or searching for "OSapp5A" on the Internet, and register the identity as an OSA patient through the button on the page, so that the terminal used by the OSA patient becomes the OSA patient terminal 10.

[0074] Optionally, the OSA patient terminal 10 can also obtain and push diagnosis and treatment lectures by doctors and experts in the OSA industry or doctors' follow-up or rehabilitation treatment. Patients can learn about diagnosis and treatment lectures by doctors and experts in the OSA industry or doctors' follow-up or rehabilitation treatment through the OSA patient terminal 10.

[0075] Figure 4 This is a schematic diagram of a system flow provided by an embodiment of the present application. Figure 4As shown, after entering the OSA cloud-plus-end intelligent auxiliary management system provided by this application, OSA patients can select 1A, 2A, 3A, 4A, and 5A in sequence to complete the subsequent diagnosis and treatment of OSA. In 1A, the OSA patient terminal asks the OSA patient to fill in basic information.

[0076] Optionally, the basic information of the OSA patient can be manually filled in by the OSA patient, or automatically filled in from other platforms or data files. Exemplarily, the OSA patient can obtain the basic information items that need to be filled in through the page of the OSA patient terminal 10, and fill in the corresponding items according to the facts. The basic information may include the history of risk factors of the OSA patient, the history of obesity, diabetes, coronary heart disease, etc., and family history.

[0077] Specifically, the sleep condition may include the recent sleep history of the OSA patient. Exemplarily, the sleep condition may be obtained by asking the OSA patient to fill out the Epworth Sleepiness Scale (ESS) and / or the STOP-Bang questionnaire.

[0078] For example, after asking about the sleep history in detail, the sleepiness scale in Table 1 can be used for assessment first.

[0079] Table 1 Epworth Sleepiness Scale

[0080]

[0081]

[0082] Note: A score of ≥9 is considered to be associated with daytime sleepiness.

[0083] For example, primary hospitals can use the STOP-Bang questionnaire in Table 2 to screen and stratify suspected OSA patients. A STOP-Bang questionnaire score of ≥3 is considered high risk for OSA (AHI ≥5 times / h), with a sensitivity of 84.7% and a specificity of 52.6%.

[0084] Table 2 STOP-Bang Questionnaire Chinese Version

[0085]

[0086] Note: A total score >3 indicates high risk of OSA, and a total score <3 indicates low risk of obstructive sleep apnea.

[0087] The cloud server 40 is used to receive sleep data, and determine whether the sleep symptoms of OSA patients are mild, dangerous or high-risk based on the sleep data, preset consensus guideline information and evaluation algorithms. Corresponding diagnosis and treatment opinions are obtained based on the sleep symptoms of OSA patients, and the diagnosis and treatment opinions are pushed to the OSA patient terminal 10, the OSA doctor terminal 20 or the OSA expert terminal 30. Among them, the OSA doctor terminal 20 is used to implement the corresponding diagnosis and treatment plan and / or further biochemical detection plan based on the diagnosis and treatment opinions, and the OSA expert terminal 30 is used to initiate a consultation for OSA patients based on the diagnosis and treatment opinions.

[0088] Optionally, the sleep data sent by the OSA patient end 10 to the cloud server 40 is evaluated by the cloud server 40. If the severity of the disease is considered to be high (for example, high risk), the diagnosis and treatment opinions will be sent to the OSA expert end 30. The OSA expert end 30 generates auxiliary diagnosis and treatment precautions and sends them to the OSA doctor end 20 (not sent to the OSA patient end 10 here, because the patient end cannot understand the diagnosis and treatment plan). The sleep data sent by the OSA patient end 10 to the cloud server 40 is evaluated by the cloud server 40. If the severity of the disease is considered to be low (such as mild or dangerous), the diagnosis and treatment opinions will be sent directly to the OSA doctor end 20, and the OSA doctor will issue a diagnosis and treatment plan. OSA patients with more difficult to treat diseases, complex diseases, and difficult diseases need to be assigned to the OSA expert end 30 for further biochemical testing plans and / or diagnosis and treatment plans.

[0089] Specifically, the preset consensus guideline information may include at least one of the above-mentioned expert consensus information developed by experts in related fields, and information on relevant guidelines jointly developed by experts in various disciplines and general practitioners. The evaluation algorithm may be an algorithm obtained based on patient cases and / or expert experience. Based on the evaluation algorithm and the sleep data of OSA patients, as well as the preset consensus guideline information, an accurate analysis of the condition of OSA patients can be quickly made.

[0090] like Figure 4 As shown, after the OSA patient completes step 1A, click option 2A to evaluate his sleep data. The content of the evaluation includes completing the initial screening, PSG monitoring and differential diagnosis examination. After the evaluation, click option 3A to obtain the examination suggestions of the cloud server 40. The suggestions may include upper airway three-dimensional reconstruction CT examination and titration for OSA experts to provide reference for diagnosis and treatment plans. Click option 4A to obtain the treatment plan arranged by the cloud server 40 for OSA patients. The corresponding treatment can be given according to the cause of the disease, or weight loss, lifestyle adjustment treatment can be given, or CPAP treatment can be taken when necessary. Click option 5A to obtain auxiliary treatment plans, for example, remote monitoring and home management through IoT π-assisted quality control.

[0091] Specifically, the cloud server 40 determines the score of the sleep condition through the sleep data, and performs an initial screening of the sleep condition of the OSA patient in combination with the basic information. For example, when the score obtained by the Epworth Sleepiness Scale is greater than or equal to 9 points, it is considered that the OSA patient has daytime sleepiness, and when the score obtained by the STOP-Bang questionnaire is greater than 3 points, the OSA patient is considered to be at high risk for OSA, and when the score is less than 3 points, the OSA patient is considered to be at low risk for OSA. When the score obtained by the Epworth Sleepiness Scale for an OSA patient is 12, and the score obtained by the STOP-Bang questionnaire is 4, it can be determined that the sleep symptoms of the OSA patient are at high risk. When the score obtained by the Epworth Sleepiness Scale for an OSA patient is 2, and the score obtained by the STOP-Bang questionnaire is 1, it can be combined with the basic situation of the OSA patient to determine whether the OSA patient has OSA risk. For example, when an OSA patient has coronary heart disease, it can be judged that the sleep symptoms of the OSA patient are mild.

[0092] Optionally, the judgment criteria may also include: the number of apnea episodes during sleep each night, the apnea-hypopnea index (AHI), and / or whether there are clinical symptoms such as drowsiness.

[0093] OSA patients can conduct self-examination before diagnosis and treatment to observe whether they have the following conditions: daytime sleepiness, lack of energy after waking up, fatigue or insomnia, waking up at night due to breath holding, gasping or suffocation, habitual snoring, respiratory interruption, hypertension, coronary heart disease, stroke, heart failure, atrial fibrillation, type 2 diabetes, emotional disorders, cognitive disorders, etc. If at least one of the above conditions exists, further diagnosis and treatment can be carried out through the OSA patient end of the OSA cloud-end intelligent auxiliary management system.

[0094] Currently, it is not recommended to screen for OSA in the general population without symptoms. Before diagnosis and treatment, if OSA patients are found to have unexplained nocturia, daytime headaches, easy awakening / insomnia, memory loss, decreased attention and daytime alertness, sexual dysfunction, etc., and self-examination shows a history of diabetes, coronary heart disease, etc., they can also determine that they need further diagnosis and treatment through the OSA patient terminal 10 of the OSA cloud-plus-terminal intelligent auxiliary management system.

[0095] Optionally, the diagnosis and treatment opinion may include a diagnosis and treatment plan and / or a further biochemical testing plan. The cloud server 40 comprehensively determines whether further biochemical testing is required in the diagnosis and treatment opinion based on the sleep data and basic conditions of the OSA patient.

[0096] Optionally, the OSA doctor terminal 20 and / or the OSA expert terminal 30 may be graded, and the cloud server 40 obtains corresponding diagnosis and treatment opinions according to the sleep symptoms of the OSA patient, and pushes the diagnosis and treatment opinions to the OSA doctor terminal and / or the OSA expert terminal of the corresponding level according to the level of the diagnosis and treatment opinions. Exemplarily, the classification may be based on the workload, praise, recovery rate, and disease category of the doctor or expert.

[0097] The sleep data of OSA patients is obtained through the OSA patient terminal 10, and the cloud server 40 preliminarily determines the sleep symptoms of OSA patients according to the sleep data of OSA patients, consensus guidelines and evaluation algorithms, and obtains corresponding diagnosis and treatment opinions and / or further biochemical detection plans according to the severity of the sleep symptoms, and sends them to different processing terminals, and the corresponding OSA patients, OSA doctors or OSA experts execute the diagnosis and treatment plans or further consult, so that a preliminary diagnosis and corresponding treatment plan can be made directly based on the sleep data of OSA patients, thereby efficiently assisting OSA doctors in the diagnosis and treatment of OSA.

[0098] Optionally, after continuously receiving additional sleep data, the cloud server 40 can synchronously optimize the diagnostic model based on the additional sleep data to provide a more accurate intelligent assistance solution to assist doctors in diagnosis and treatment and improve the doctors' diagnostic level.

[0099] Optionally, pushing the diagnosis and treatment advice to the OSA patient terminal 10, the OSA doctor terminal 20 or the OSA expert terminal 30 may include:

[0100] When the sleep symptoms of the OSA patient are mild, the cloud server 40 obtains sleep improvement suggestions corresponding to the mild symptoms, and pushes the sleep improvement suggestions to the OSA patient terminal 10 as diagnosis and treatment suggestions.

[0101] It is understandable that when the sleep symptoms of OSA patients are mild, it means that the sleep of OSA patients does not have much impact on their physical health, and they do not need to see a doctor or take medicine, and can improve their sleep through their lifestyle habits. Therefore, corresponding sleep improvement suggestions can be generated based on the specific sleep data of OSA patients and pushed to the OSA patient terminal 10, so that the OSA patients can improve their lifestyle habits and restore normal sleep.

[0102] For example, sleep improvement suggestions may include lifestyle changes, weight loss exercises, etc., and OSA patients can make self-adjustments according to the sleep improvement suggestions.

[0103] Optionally, the OSA patient terminal 10 can periodically push questionnaire screening, and / or set a screening entrance to allow the patient to voluntarily enter and fill out the questionnaire for screening, so that the OSA patient terminal 10 can help the patient promptly discover the current sleep improvement situation.

[0104] When the sleep symptoms of an OSA patient are dangerous, the cloud server 40 obtains examination suggestions corresponding to the danger, and pushes the examination suggestions as diagnosis and treatment opinions to the OSA doctor terminal 20.

[0105] It is understandable that when the sleep symptoms of OSA patients are dangerous, it is difficult for OSA patients to heal themselves by improving their living habits, and they need OSA doctors to diagnose them and treat them accordingly. Therefore, the sleep data and preliminary screening data of OSA patients can be sent to the OSA doctor terminal 20, and the OSA doctor terminal 20 can make further diagnosis and treatment.

[0106] Optionally, when the sleep symptoms of an OSA patient are dangerous, the cloud server 40 can push the examination suggestions as diagnosis and treatment opinions to the OSA doctor terminal 20, and at the same time, send a warning of the dangerous situation to the patient through the OSA patient terminal 10, so that the patient pays attention to the condition and seeks medical treatment in time.

[0107] When the sleep symptoms of the OSA patient are high-risk, the cloud server 40 sends a monitoring instruction to the OSA doctor terminal 20, instructing the OSA doctor to transfer the OSA patient to the sleep breathing center, and generates a consultation request instruction, and sends the consultation request instruction to the OSA expert terminal 30. The consultation request instruction includes the sleep data of the OSA patient.

[0108] It is understandable that when the sleep symptoms of OSA patients are at high risk, it indicates that a more complex and serious condition has occurred. At this time, on the one hand, the condition of the OSA patient is serious, and it is necessary to notify the OSA doctor to transfer him to the sleep breathing center for observation, so as to know the changes in the OSA patient's condition in time. On the other hand, high risk means that OSA patients cannot heal themselves by improving their living habits, and OSA doctors, due to limited experience, need the assistance of OSA experts in diagnosis and treatment to prevent improper diagnosis. Therefore, the diagnosis and treatment opinions corresponding to the high risk are sent to the OSA expert terminal 30 to request the assistance of OSA experts, and the OSA patient's condition is further diagnosed through OSA expert consultation.

[0109] Optionally, when the sleep symptoms of an OSA patient are high-risk, the cloud server 40 can send a monitoring instruction to the OSA doctor terminal 20 and a consultation request instruction to the OSA expert terminal 30, and can also issue a high-risk situation warning to the patient through the OSA patient terminal 10, so that the patient pays attention to the condition and seeks medical treatment in time.

[0110] Optionally, the examination recommendation may include at least one of upper airway three-dimensional reconstruction CT examination, level I monitoring and level II monitoring.

[0111] Optionally, after receiving the diagnosis and treatment opinion, the OSA doctor terminal 20 is further used to:

[0112] When the severity of the condition of the OSA patient is judged to be high-risk according to the diagnosis and treatment opinion, a consultation request is initiated to the OSA expert terminal 30 .

[0113] The OSA expert terminal 30 receives the consultation request sent by the OSA doctor terminal 20, initiates a consultation according to the consultation request, and generates a corresponding diagnosis and treatment plan according to the consultation result.

[0114] Specifically, after receiving the diagnosis and treatment opinion, if the OSA doctor terminal 20 determines that the condition of the OSA patient is serious (e.g., high risk), it will initiate a consultation request instruction to the OSA expert terminal 30. After the OSA expert consultation, the diagnosis and treatment plan is sent to the OSA doctor terminal 20, and the OSA doctor treats the patient according to the diagnosis and treatment plan.

[0115] Exemplarily, after the OSA doctor terminal 20 receives the examination suggestion sent by the cloud server 40, it uses the device to check the physical data of the OSA patient according to the examination suggestion, and makes a further judgment on the severity of the OSA patient's condition based on the physical data. For example, a modified portable sleep-apneatesting device of type III can be used to check and record the physical data of OSA patients. The modified portable sleep-apneatesting device of type III can record at least 4 indicators, including electrocardiogram or heart rate, blood oxygen saturation and respiratory indicators of at least 2 leads (two leads of respiratory movement, or one lead each for respiratory movement and respiratory airflow), and the inspection process does not require continuous supervision by professionals. Type IV single or dual bioparameter recording devices can also be used to check and record the physical data of OSA patients. Type IV single or dual bioparameter recording devices monitor at least one of blood oxygen saturation, airflow or respiratory movement, and do not require continuous supervision by professionals during the inspection process. In addition, simple and easy-to-use equipment such as pulse conduction time and sleep pad technology can be used to check and record the physical data of OSA patients. Such equipment is conducive to wide-coverage homogeneous promotion and application, and can be recommended for screening in primary hospitals.

[0116] Optionally, further judgment of the severity of the OSA patient's condition based on the physical data may include: when the AHI value is between 5 and 15 and the blood oxygen saturation is between 85% and 90%, it can be determined that the severity of the OSA patient's condition is mild. When the AHI value is between 15 and 30 and the blood oxygen saturation is between 80% and 85%, it can be determined that the severity of the OSA patient's condition is moderate. When the AHI value is greater than 30 and the blood oxygen saturation is greater than 80%, it can be determined that the severity of the OSA patient's condition is severe.

[0117] Optionally, the severity of the OSA patient's condition can be further judged based on physical data, which may include: when the number of apnea episodes during sleep reaches more than 30 times per night, or the sleep disordered breathing index (AHI, i.e. the average number of apnea / hypopnea times per hour of sleep) is greater than or equal to 5, it can be determined that the patient has snoring, and the patient's snoring type can be further determined, which may include obstructive, central, and mixed types, and the severity of the patient's condition can be determined in combination with clinical symptoms such as drowsiness.

[0118] By further judging the patient's condition through real-time monitored physical data, a more accurate diagnosis can be obtained.

[0119] In some cases, the sleep of OSA patients is often related to the respiratory organs. Therefore, a three-dimensional reconstruction CT scan of the upper airway can be used to visually observe the physical health of OSA patients and determine whether sleep apnea is caused by upper airway lesions.

[0120] In addition, when the condition is serious, the patient can be monitored at level I or level II to observe the patient's condition. Level I monitoring can be a standard polysomnography (PSG) device. Level I monitoring records at least 7 indicators, including electroencephalogram, electrooculogram, mandibular electromyogram, electrocardiogram, respiratory airflow, respiratory movement (effort) and blood oxygen saturation. The sleeping position must be recorded (manual or instrument monitoring). Professionals must be on duty to continuously monitor the inspection process and take corresponding measures when necessary. It is recommended to record audio, video and leg movements at the same time. Level II monitoring can be a full-indicator portable polysomnography (PSG) device. Level II monitoring records at least 7 indicators. Except for the use of heart rate monitoring instead of electrocardiogram recording and sleeping position recording as non-essential items, the rest are the same as level I, and professional personnel are not required to continuously monitor the inspection process.

[0121] Optionally, the risk in the sleep symptom may include low risk and medium risk. When the cloud server 40 obtains the examination suggestion corresponding to the risk, it is specifically used to:

[0122] When the sleep symptoms of the OSA patient are low risk, the cloud server 40 determines that the examination recommendation corresponding to the low risk is level I monitoring. When the sleep symptoms of the OSA patient are medium risk, the cloud server 40 determines that the examination recommendation corresponding to the medium risk is upper airway three-dimensional reconstruction CT examination and / or level II monitoring.

[0123] The risk level of sleep symptoms in OSA patients is further subdivided into low risk and medium risk. When the sleep symptoms are low risk, OSA patients can be transferred to a Level I monitoring room, and their sleep conditions can be monitored around the clock, and their condition can be analyzed based on the data. When the sleep symptoms of OSA patients are medium risk, an upper airway three-dimensional reconstruction CT examination can be arranged for OSA patients, and the need for Level II monitoring can be determined based on the examination results. If necessary, OSA patients can be transferred to a Level II monitoring room, and their sleep conditions can be monitored around the clock, and their condition can be analyzed based on the data.

[0124] Optionally, the OSA cloud-plus-end intelligent auxiliary management system 1 provided in the embodiment of the present application may also include: a remote monitoring device. Specifically, when the examination recommendation is level I monitoring, the remote monitoring device is used to obtain the real-time sleep data of the OSA patient and send the real-time sleep data to the cloud server 40. The cloud server 40 is used to receive the real-time sleep data and determine the real-time sleep symptoms of the OSA patient based on the real-time sleep data.

[0125] Optionally, the Level I monitoring room can be a room where the OSA patient lives with a remote monitoring device, such as the residence of the OSA patient. The remote monitoring device is a small device with a sensor and a processor, which is connected to the cloud server 40 and sends the real-time sleep data of the OSA patient to the cloud server 40, which determines the real-time sleep symptoms of the OSA patient based on the real-time sleep data.

[0126] It is understandable that remote monitoring equipment is suitable for OSA patients who are in a period of spontaneous improvement or recovery.

[0127] In some embodiments, the remote monitoring device can also screen the real-time sleep data of OSA patients, and upload suspicious data that exceeds the preset range to the cloud server 40, and the cloud server 40 determines whether to notify the OSA doctor end 20 and the OSA expert end 30. For example, the OSA patient is at the end of the recovery period, and all sleep data are good, with occasional symptoms of shortness of breath. The remote monitoring device can upload the data and the time of occurrence to the cloud server 40 for processing when it detects that the OSA patient is breathing rapidly. When the sleep data is within the normal sleep data range, it is not necessary to transmit normal sleep data to the cloud server 40, and it can be summarized in the form of intervals and uploaded at a certain time. For example, OSA patient A has normal sleep data between 20:30 on July 20, 2022 and 07:30 on July 21, 2022, with a respiratory rate of 17 to 19 times per minute, so that the OSA doctor can understand the recovery of the OSA patient based on this.

[0128] Optionally, after the OSA patient terminal 10 obtains the sleep data of the patient inquirer, it is also used to: determine whether the sleep symptom of the OSA patient is asymptomatic according to the sleep data. If so, display the asymptomatic diagnosis result. If not, execute the step of sending the sleep data to the cloud server 40.

[0129] Before the OSA patient terminal 10 sends the sleep data to the cloud server 40 and the cloud server 40 diagnoses and treats the OSA patient based on the sleep data, it can first determine whether the OSA patient has sleep problems. Assuming that the OSA patient is just sleepy and lacks concentration today because of staying up late yesterday, this is a physical discomfort caused by improper rest, not obstructive sleep apnea. In this case, the OSA patient is informed that he is asymptomatic and can take appropriate rest to improve, and no further diagnosis and treatment is required. If the OSA patient has poor sleep quality almost every day recently, and has symptoms such as waking up at night due to shortness of breath and headaches and fatigue during the day, it means that the OSA patient needs to be further diagnosed. The OSA patient can further fill in the sleep status and send it together with the basic information as sleep data to the cloud server for analysis.

[0130] The OSA cloud-plus-end intelligent auxiliary management system 1 provided in the embodiment of the present application obtains the sleep data of the OSA patient through the OSA patient end 10, and the cloud server 40 preliminarily determines the sleep symptoms of the OSA patient based on the sleep data, consensus guidelines and evaluation algorithms of the OSA patient, and obtains corresponding diagnosis and treatment opinions based on the severity of the sleep symptoms, and sends them to different processing ends, and the corresponding OSA patients, OSA doctors or OSA experts execute the diagnosis and treatment plan or further consult, so that the OSA patient's sleep data can be directly used to make a preliminary diagnosis and determine the corresponding treatment plan, thereby efficiently assisting OSA doctors in the diagnosis and treatment of OSA.

[0131] The embodiment of the present application also provides an OSA assisted management method, which can be specifically executed by the cloud server in the above system embodiment.

[0132] Figure 5 This is a schematic diagram of a method flow provided by an embodiment of the present application. Figure 5 As shown, an OSA diagnosis and treatment management method provided in an embodiment of the present application may include:

[0133] S401. Acquire sleep data of an OSA patient, where the sleep data includes sleep conditions and basic information of the OSA patient.

[0134] Specifically, basic information may include the history of risk factors of OSA patients, medical history of obesity, diabetes, coronary heart disease, etc., and family history. Sleep status may include the recent sleep history of OSA patients, and may include information in the Epworth Sleepiness Scale and / or the STOP-Bang Questionnaire, for example.

[0135] S402. Determine whether the sleep symptoms of OSA patients are mild, dangerous or high-risk based on sleep data, preset consensus guideline information and assessment algorithms.

[0136] S403. Determine corresponding diagnosis and treatment opinions according to the sleep symptoms of OSA patients, and push the diagnosis and treatment opinions to the OSA patient terminal 10, the OSA doctor terminal 20 or the OSA expert terminal 30, so that after receiving the diagnosis and treatment opinions, the OSA doctor terminal 20 implements the corresponding diagnosis and treatment plan and / or further biochemical detection plan according to the diagnosis and treatment opinions, or the OSA expert terminal 30 initiates a consultation with the OSA patient according to the diagnosis and treatment opinions after receiving the diagnosis and treatment opinions.

[0137] Optionally, after receiving the diagnosis and treatment opinion, the OSA doctor may also:

[0138] When the severity of the OSA patient's condition is judged to be high-risk according to the diagnosis and treatment opinions, a consultation request is initiated to the OSA expert terminal;

[0139] The OSA expert side receives the consultation request sent by the OSA doctor side, initiates a consultation based on the consultation request, and generates a corresponding diagnosis and treatment plan based on the consultation results.

[0140] Optionally, S403 may include:

[0141] S4031. When the sleep symptoms of the OSA patient are mild, obtain sleep improvement suggestions corresponding to the mild symptoms, and push the sleep improvement suggestions as diagnosis and treatment suggestions to the OSA patient terminal 10.

[0142] S4032. When the sleep symptoms of the OSA patient are dangerous, obtain examination suggestions corresponding to the danger, and push the examination suggestions as diagnosis and treatment opinions to the OSA doctor terminal 20.

[0143] S4033: When the sleep symptoms of the OSA patient are high-risk, a monitoring instruction is sent to the OSA doctor terminal 20, instructing the OSA doctor to transfer the OSA patient to a sleep breathing center, and a consultation request instruction is generated and sent to the OSA expert terminal 30. The consultation request instruction includes the sleep data of the OSA patient.

[0144] Optionally, the OSA diagnosis and treatment management method provided in the embodiment of the present application may further include:

[0145] S104: Acquire real-time sleep data of the OSA patient, and determine the real-time sleep symptoms of the OSA patient according to the real-time sleep data.

[0146] Optionally, after S401, the following steps may also be included:

[0147] S4011. Determine whether the sleep symptom of the OSA patient is asymptomatic based on the sleep data.

[0148] S4012. If yes, the asymptomatic diagnosis result is displayed on the OSA patient end 10.

[0149] S4013: If not, execute the steps in S402.

[0150] Specifically, the specific contents of the above method steps can be referred to the description in the system embodiment, which will not be repeated here.

[0151] The OSA diagnosis and treatment management method provided in the embodiment of the present application analyzes the sleep data of OSA patients through the consensus guidelines and evaluation algorithms in the cloud server, obtains the sleep symptoms of OSA patients, and obtains corresponding diagnosis and treatment opinions, which are sent to the corresponding processing end. The OSA patients, OSA doctors or OSA experts execute the diagnosis and treatment plan or further consult, so that a preliminary diagnosis and corresponding treatment plan can be determined directly based on the sleep data of OSA patients, thereby efficiently assisting OSA doctors in the diagnosis and treatment of OSA.

[0152] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0153] Each functional unit or module in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0154] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) or a processor (processor) to perform all or part of the steps of each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program code.

[0155] In the claims, any reference symbols placed between brackets shall not be construed as limiting the claims. The word "comprising" described in the present application does not exclude the presence of elements or steps not listed in the claims. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present application can be implemented with the aid of hardware comprising several different elements and with the aid of a suitably programmed computer. In a unit claim that lists a number of devices, several units of these devices may be embodied by the same hardware item. The use of first, second, and third, etc. does not indicate any order, and these words may be interpreted as names. The steps in the above embodiments, unless otherwise specified, should not be understood as limitations on the order of execution.

[0156] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An OSA cloud-plus-end intelligent auxiliary management system, It is characterized in that include: OSA patient side, OSA doctor side, OSA expert side and cloud server; The OSA patient terminal is used to obtain the sleep data of the OSA patient and send the sleep data to the cloud server; the sleep data includes the sleep condition and basic information of the OSA patient; the basic information of the OSA patient includes the history of risk factors of the OSA patient, history of obesity, diabetes, coronary heart disease and family history; the sleep condition of the OSA patient includes the recent sleep history of the OSA patient; The cloud server is used to receive the sleep data, and determine whether the sleep symptoms of the OSA patient are mild, dangerous or high-risk according to the sleep data, preset consensus guideline information and evaluation algorithm; obtain corresponding diagnosis and treatment opinions according to the sleep symptoms of the OSA patient, and push the diagnosis and treatment opinions to the OSA patient end, the OSA doctor end or the OSA expert end; The OSA doctor terminal is used to receive the diagnosis and treatment opinions and implement the corresponding diagnosis and treatment plan according to the diagnosis and treatment opinions; The OSA expert terminal is used to receive the diagnosis and treatment opinions, initiate a consultation for the OSA patient according to the diagnosis and treatment opinions, and generate an expert diagnosis and treatment plan according to the diagnosis and treatment results; The step of pushing the diagnosis and treatment advice to the OSA patient, the OSA doctor or the OSA expert includes: When the sleep symptom of the OSA patient is the mild symptom, the cloud server obtains the sleep improvement advice corresponding to the mild symptom, and pushes the sleep improvement advice as the diagnosis and treatment advice to the OSA patient; When the sleep symptom of the OSA patient is the danger, the cloud server obtains the examination suggestion corresponding to the danger, and pushes the examination suggestion as the diagnosis and treatment opinion to the OSA doctor end; When the sleep symptoms of the OSA patient are at high risk, the cloud server sends a monitoring instruction to the OSA doctor, instructing the OSA doctor to transfer the OSA patient to a sleep breathing center, and generates a consultation request instruction, and sends the consultation request instruction to the OSA expert; the consultation request instruction includes the sleep data of the OSA patient.

2. The system according to claim 1, It is characterized in that The examination recommendation includes at least one of upper airway three-dimensional reconstruction CT examination, level I monitoring and level II monitoring.

3. The system according to claim 2, It is characterized in that The risk includes low risk and medium risk. When the cloud server obtains the inspection suggestion corresponding to the risk, it is specifically used to: When the sleep symptom of the OSA patient is the low risk, the cloud server determines that the examination recommendation corresponding to the low risk is the level I monitoring; When the sleep symptom of the OSA patient is of the moderate risk, the cloud server determines that the examination recommendation corresponding to the moderate risk is the upper airway three-dimensional reconstruction CT examination and / or the level II monitoring.

4. The system according to claim 3, It is characterized in that It also includes remote monitoring equipment; When the examination recommendation is the level I monitoring, the remote monitoring device is used to obtain the real-time sleep data of the OSA patient and send the real-time sleep data to the cloud server; The cloud server is used to receive the real-time sleep data and determine the real-time sleep symptoms of the OSA patient according to the real-time sleep data.

5. The system according to claim 1, It is characterized in that After receiving the diagnosis and treatment opinion, the OSA doctor terminal is also used to: When the severity of the condition of the OSA patient is judged to be high-risk according to the diagnosis and treatment opinion, a consultation request is initiated to the OSA expert terminal; The OSA expert terminal receives the consultation request sent by the OSA doctor terminal, initiates a consultation according to the consultation request, and generates a corresponding diagnosis and treatment plan according to the consultation result.

6. The system according to claim 1, It is characterized in that After the OSA patient terminal obtains the sleep data of the patient, it is also used to: Determining whether the sleep symptom of the OSA patient is asymptomatic according to the sleep data; If so, display the asymptomatic diagnosis; If not, execute the step of sending the sleep data to the cloud server.

7. An OSA cloud-plus-end intelligent auxiliary management method, It is characterized in that Applied to the system according to any one of claims 1 to 6, the method comprises: Acquire sleep data of an OSA patient, wherein the sleep data includes the sleep condition and basic information of the OSA patient; the basic information of the OSA patient includes the history of risk factors, obesity, diabetes, coronary heart disease history and family history of the OSA patient; the sleep condition of the OSA patient includes the recent sleep history of the OSA patient; Determining whether the sleep symptoms of the OSA patient are mild, dangerous, or high-risk based on the sleep data, preset consensus guideline information, and an assessment algorithm; Determine a corresponding diagnosis and treatment opinion according to the sleep symptoms of the OSA patient, and push the diagnosis and treatment opinion to the OSA patient, the OSA doctor or the OSA expert, so that the OSA doctor implements a corresponding diagnosis and treatment plan according to the diagnosis and treatment opinion, or the OSA expert initiates a consultation with the OSA patient according to the diagnosis and treatment opinion; The step of pushing the diagnosis and treatment advice to the OSA patient, OSA doctor or OSA expert includes: When the sleep symptom of the OSA patient is the mild symptom, obtaining sleep improvement advice corresponding to the mild symptom, and pushing the sleep improvement advice as the diagnosis and treatment advice to the OSA patient; When the sleep symptoms of the OSA patient are the danger, obtaining the examination suggestion corresponding to the danger, and pushing the examination suggestion as the diagnosis and treatment opinion to the OSA doctor end; When the sleep symptoms of the OSA patient are at high risk, a monitoring instruction is sent to the OSA doctor to instruct the OSA doctor to transfer the OSA patient to a sleep breathing center, and a consultation request instruction is generated and sent to the OSA expert; the consultation request instruction includes the sleep data of the OSA patient.

8. The method according to claim 7, It is characterized in that Also includes: Real-time sleep data of the OSA patient is acquired, and real-time sleep symptoms of the OSA patient are determined according to the real-time sleep data.

9. The method according to claim 7, It is characterized in that After the OSA doctor receives the diagnosis and treatment opinion, the method further includes: When the severity of the condition of the OSA patient is judged to be high-risk according to the diagnosis and treatment opinion, a consultation request is initiated to the OSA expert terminal; The OSA expert terminal receives the consultation request sent by the OSA doctor terminal, initiates a consultation according to the consultation request, and generates a corresponding diagnosis and treatment plan according to the consultation result.

10. The method according to claim 7, It is characterized in that After obtaining the sleep data of the OSA patient, the method further includes: Determining whether the sleep symptom of the OSA patient is asymptomatic according to the sleep data; If so, displaying the asymptomatic diagnosis result on the OSA patient side; If not, the step of determining whether the sleep symptoms of the OSA patient are mild, dangerous or high-risk is performed based on the sleep data, preset consensus guideline information and evaluation algorithm.

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