Remote medical area collaborative service method and platform

Abstract

The invention discloses a remote medical regional collaborative service method and platform, relates to the technical field of remote medical collaboration, and solves the problems of unsafe storage of patient medical records in remote medical collaboration and low transmission efficiency in a remote consultation process. The regional collaborative service method comprises the following steps: all medical institutions in a platform service region carry out registration and login verification through a login verification module of a client; the data management module is used for collecting medical records of patients and processing abnormal information; the data management module carries out disease grade judgment on the preliminary diagnosis result of the medical record of the patient according to a set grade standard; applying for remote consultation for the patient by using a remote application module; the remote authorization module audits and distributes all remote consultation applications in the same time period; the regional collaboration module constructs a network topology for the remote consultation application according to the network address of the client, and monitors the client in the remote consultation process in real time; the interaction control module calculates and compares the network throughput according to the configuration information of the client, and schedules spectrum resources, time slot resources, power resources and space resources; the interaction control module interacts the patient medical information between the clients; in the remote consultation process, the intelligent management module of the server carries out encryption management on patient medical records and related files in the remote consultation process.

Description

Technical Field

[0001] The present invention relates to the field of telemedicine collaborative technology, and in particular to a telemedicine regional collaborative service method and platform. Background Art

[0002] With the rapid development of Internet technology and communication technology, telemedicine has entered a rapid development stage and has been widely used in clinical diagnosis and treatment, health education, chronic disease management and other scenarios. This new medical model aims to provide patients with telemedicine services, including remote diagnosis, remote treatment, remote monitoring, etc., through information technology and communication technology, with the characteristics of convenience, timeliness, efficiency and low cost. Telemedicine can extend high-quality medical resources to remote areas, improve the level of primary medical services, narrow the gap between urban and rural medical care, and solve the problem of uneven distribution of regional medical resources. At the same time, it can achieve rapid diagnosis and treatment, reduce patient waiting time and transportation costs, improve the efficiency of medical services, and allow patients to receive diagnosis and treatment from professional doctors at home, avoiding long queues and waiting, thereby improving patients' medical experience.

[0003] In addition, with the continuous emergence and application of new technologies such as 5G, Internet of Things, and artificial intelligence, telemedicine will further expand its application areas and improve service quality, becoming an important part of medical services. The launch of the national telemedicine collaboration platform can establish telemedicine collaboration mechanisms in various regions, give full play to the leading and collaborative role of hospitals in various provinces and cities in the construction of telemedicine centers, facilitate patients to see doctors and medical treatment nearby, consult and refer patients nearby, reasonably allocate specialist resources, activate idle resources, eliminate the phenomenon of disease siphoning, and strengthen cross-regional collaboration of specialist resources.

[0004] Patent No. CN2021105364682 discloses a remote medical and hierarchical monitoring system based on cloud-terminal collaboration, which includes a data acquisition module, an interactive terminal module and a cloud data integration module. The data acquisition module is used to collect patient medical data; the data acquisition module is used to collect patient data; the interactive terminal module is used for patients' single sign-on, data input and diagnostic information output; the cloud data integration module includes a data receiving module, an information processing module and an information output module. The information processing module is used to process case information and output the final disease treatment plan; the information output module is used to transmit information; through the above invention, it can be ensured that patients can get better medical effects without leaving home, and private doctors can be customized for patients, so that the treatment plan is relatively accurate and reliable, while also reducing the pressure on hospitals to see doctors and improving work efficiency.

[0005] Patent No. CN2022111354381 discloses a multi-level collaborative communication method and system for telemedicine applications, the method comprising: the edge server receives the basic data sent by the medical application IoT device, and pre-processes the basic data to obtain intermediate data; the edge server obtains the business processing result based on the pre-processed intermediate data and preset rules; the business processing result is sent to the cloud server; the storage space occupancy rate of the edge server is detected, and when the storage space occupancy rate is greater than the preset value, the transferred data is sent to the cloud server according to the storage time. The above invention utilizes the intelligent edge processing mechanism to process a large amount of basic data locally, and through cloud-edge intelligent collaboration, only the necessary business-related result data is returned to the back-end cloud server, and the processing of the intermediate data is completed by a large number of edge servers deployed at the front end.

[0006] However, the above patent cannot effectively guarantee the high-security storage of medical records during remote consultation, which may easily lead to the leakage of medical records. On the other hand, the above patent cannot maintain high remote transmission efficiency during remote consultation, which may easily lead to the asynchrony of audio and video during remote consultation, thus causing misdiagnosis and missed diagnosis. Summary of the invention

[0007] The purpose of the present invention is to provide a remote medical regional collaborative service method and platform, which can process patient medical records through a data management method and encrypt patient medical records through an encryption algorithm to improve the storage security of patient medical records; at the same time, it can also ensure the data transmission efficiency during remote consultation of all medical institutions in the same region through a regional collaborative method, ensure the synchronization of audio and video, and avoid the occurrence of misdiagnosis and missed diagnosis.

[0008] The present invention utilizes the following technical solutions:

[0009] A remote medical regional collaborative service platform includes a client and a server; wherein:

[0010] The client is used to transmit the medical information of medical institutions and patients to the server, and realize the interaction of medical information of patients in various types of medical institutions in the platform service area through the server;

[0011] The client includes a login verification module, a data management module, a remote application module and an interactive control module;

[0012] Login verification module, used for identity registration and login verification in various types of medical institutions;

[0013] The data management module is used to collect patient medical records and process abnormal information, and determine the disease level based on the preliminary diagnosis results in the patient medical records;

[0014] Remote application module, used to automatically provide remote consultation applications to patients based on the severity of their symptoms;

[0015] The interactive control module is used to interact with the patient's medical information during the remote medical diagnosis process; and to perform real-time scheduling of the communication network during the remote medical diagnosis process according to the client's configuration information and the real-time communication network status;

[0016] The server includes a remote authorization module, a regional collaboration module and an intelligent management module;

[0017] Remote authorization module, which is used to review the client's remote medical diagnosis application and allocate medical institutions according to the medical field and medical equipment required by the patient;

[0018] The regional collaboration module is used to build a network topology based on the network address of the client that has applied for remote medical diagnosis, and to monitor the network status of the client in the process of remote medical diagnosis in real time;

[0019] The intelligent management module is used to encrypt and manage the patient's medical information during the remote medical diagnosis process.

[0020] Preferably, the login verification module in the client is deployed in the smart large screen set up in the consultation room of each medical institution, and the data management module, remote application module and interactive control module are all deployed in the desktop conference terminal and / or mobile conference terminal in the consultation room of each medical institution.

[0021] Preferably, the types of medical institutions include community-based hospitals, township-level hospitals, county-level hospitals and provincial-level hospitals; the server calls the smart cameras and display cameras installed in each type of medical institution to record the remote consultation process between the medical institutions; the medical staff of the medical institutions use several deployment methods to operate and deploy the server; the deployment methods include docker cluster, local deployment, private cloud and / or public cloud.

[0022] A remote medical regional collaborative service method comprises the following steps in sequence:

[0023] S1: All medical institutions in the platform service area register and log in through the client login verification module;

[0024] S2: After completing the login verification, the data management module collects and processes the patient's medical records;

[0025] S3: The data management module determines the disease level of the preliminary diagnosis results of the patient's medical records that have undergone abnormal information processing according to the set disease level standard;

[0026] S4: According to the disease level, the medical staff uses the remote application module to apply for remote medical diagnosis for the patient, and sends the remote medical diagnosis application to the server;

[0027] S5: The remote authorization module of the server reviews all remote medical diagnosis applications within the same period and allocates medical institutions according to the medical field and medical equipment required by the patient;

[0028] S6: The regional collaboration module of the server builds a network topology based on the network address of the client that has applied for remote consultation, and monitors the network status of the client in real time;

[0029] S7: The interactive control module of the client selects and switches the wired communication network during the remote medical diagnosis process according to the configuration information of the client and the real-time communication network status, and / or schedules the spectrum resources, time slot resources, power resources and space resources of the wireless communication network;

[0030] S8: The interactive control module interacts with the patient medical information between the clients according to the wired communication network and / or wireless communication network that has completed the scheduling;

[0031] S9: The intelligent management module of the server encrypts and manages the patient medical information during the remote medical diagnosis process;

[0032] S10: After the remote consultation is completed, if the original medical institution is unable to treat the patient, a referral application is made to all medical institutions in the platform service area that meet the medical fields and medical equipment required by the patient through the interactive control module, and one of the authorized medical institutions is selected based on the referral distance; the original medical institution is the medical institution that first sent the remote consultation application through the client.

[0033] Preferably, in steps S2 to S3, the data management module collects and processes the patient's medical records, and determines the disease level according to the preliminary diagnosis results in the patient's medical records. The process is as follows:

[0034] A: After the medical institution logs into the institution's electronic account, medical staff collect the patient's medical records in a variety of ways; the collection methods include manual entry, attachment upload and automatic collection;

[0035] B: Perform text recognition and extraction on the collected medical records; recognize the handwritten text in the medical records and convert it into printed text; use the SpellGCN model to correct the similar characters and similar pronunciation characters in the medical records;

[0036] C: The patient's name in the medical record is converted into an M-ary code using pinyin, and then hashed with the ID number to generate an identification serial number;

[0037] D: Assign identification serial numbers to the identified and extracted medical records, and extract examination item names and examination item data from the medical records;

[0038] E: Perform information anomaly processing on the extracted inspection item names and inspection item data, remove duplicate information data, and extract and check the missing information data again;

[0039] F: The data management module determines the disease level of the preliminary diagnosis results of the medical records of patients whose information abnormality processing has been completed according to the set level standards, and transmits the disease level to the remote application module;

[0040] The disease levels are level one critical, level two critical deterioration, level three acute disease, and level four non-acute disease;

[0041] G: If the disease level is level one to level three, the medical staff will back up the patient's medical records to their personal sub-accounts in the institution's electronic account through the client, and classify the patient's medical records into hospital-acceptable and hospital-unacceptable types based on the medical field and medical equipment required by the patient. For hospital-acceptable types, the patient's medical records will be assigned to the corresponding medical department in the hospital, and for hospital-unacceptable types, a remote consultation will be applied for the patient;

[0042] If the disease level is level 4, the patient's medical records will be assigned to the corresponding medical department within the hospital based on the medical field and medical equipment required by the patient;

[0043] The medical field includes clinical medicine, traditional Chinese medicine, basic medicine, laboratory medicine, preventive medicine, health care medicine and rehabilitation medicine.

[0044] Preferably, steps S4 to S5 include the following steps:

[0045] First, medical staff use the client's remote application module to fill out a consultation application form for the patient, upload the patient's medical records, and scan the patient's informed consent form according to the disease level;

[0046] Then, the remote application module encrypts the obtained consultation application form, symptom level, medical history and patient informed consent form, generates a corresponding consultation application, and transmits it to the remote authorization module of the server;

[0047] Subsequently, after receiving the consultation application, the remote authorization module of the server selectively authorizes and sorts the received consultation application according to the real-time treatment capacity of all medical institutions in the platform service area and the disease level in the consultation application;

[0048] Finally, the remote authorization module of the server re-examines the disease level in the authorized consultation application according to the patient's medical history, and allocates the authorized consultation applications in the same period to medical institutions with the same type of disease, and finally completes the application authorization and medical institution allocation for remote consultation.

[0049] Preferably, the decision rule for selective authorization is:

[0050] a: The medical institution counts the number of patients with the same type of disease in the medical institution to obtain the total number of patients with the same type of disease;

[0051] b: Medical institutions obtain the shift schedules of medical staff who diagnose and treat the same type of diseases to confirm the overlapping diagnosis time of the medical staff;

[0052] Diagnostic intersection time is the common free time of all medical staff excluding rest time;

[0053] c: Medical institutions determine their real-time treatment capacity (RDTC) based on the diagnosis intersection time and the total number of patients with the same type of disease:

[0054] Among them, DIT represents the diagnostic intersection time coefficient, TNPSD represents the total number of patients with the same type of disease, TC represents the treatment capacity of the medical institution, and OOC represents the operation restriction coefficient;

[0055] d: Screen all consultation applications based on the real-time treatment capacity of medical institutions, the referral distance between medical institutions, and the disease level in the consultation application, and authorize the screened consultation applications:

[0056]

[0057] Among them, COD ′ represents the number of consultation applications that have been screened, β represents the utilization rate of admission, and RDTC i represents the real-time treatment capacity of each medical institution, i represents the medical institution number, n represents the total number of medical institutions, and α i Represents the distance error coefficient of each medical institution, P i Indicates the address of the medical institution, represents the Hadamard operation, γ represents the disease level matrix of each consultation application, and COD represents all consultation applications;

[0058] e: Sort the authorized consultation applications according to the severity and referral distance from severe to mild and from near to far, and automatically allocate the remote consultation booking time according to the authorization time of the consultation application.

[0059] Preferably, in step S6, the workflow of the regional collaboration module is:

[0060] S61: Count the number of consultation applications assigned to each medical institution and sort them according to the remote consultation booking time;

[0061] Remote consultation booking time is automatically allocated for all consultation requests of the same disease level according to the schedule of medical staff required for remote consultation and the authorization time of the current consultation application;

[0062] S62: Aggregate consultation applications within the same time period, obtain the network address of the client to which the consultation application belongs, and then build a network topology corresponding to each medical institution;

[0063] S63: When the remote consultation reservation time arrives, the client starts and lights up the corresponding node in the network topology;

[0064] S64: During the operation of the client, the regional collaboration module monitors the network throughput of each client: if the network throughput is less than the preset network rate threshold, a remote message reminder is sent to the interaction control module of the corresponding client; if the network throughput is greater than or equal to the preset network rate threshold, the network throughput of the corresponding client continues to be monitored in real time;

[0065] S65: After the remote consultation process between the clients is completed, the regional collaboration module updates the network topology corresponding to the current medical institution.

[0066] Preferably, in step S7, the workflow of the interactive control module is:

[0067] S71: During the operation of the client, the interactive control module periodically receives the load conditions, network status and real-time network speed of different network channels from the client to calculate the network throughput of each network channel:

[0068] Network status includes bandwidth, latency, packet loss rate, and routing efficiency;

[0069]

[0070] Among them, Throughput indicates the real-time network speed, Bandwidth indicates the bandwidth, Packet Loss Rate indicates the packet loss rate, Routing Efficienc indicates the routing efficiency, and LF indicates the delay factor;

[0071] The relationship between network throughput and real-time network speed is:

[0072]

[0073] Among them, Perceived Throughput represents the network throughput;

[0074] S72: If the network throughput of the current network channel is lower than the preset network rate threshold, and the remote consultation does not involve remote surgery and / or remote emergency treatment, then according to the remote message reminder sent by the regional collaboration module, the interactive control module sorts the network throughputs of all network channels from high to low, and switches to the network channel with the largest network throughput; if the network throughput of the current network channel is higher than the preset network rate threshold, continue to maintain the connection with the current network channel;

[0075] S73: Under the condition that all clients are connected to the optimal network channel, the interactive control module uses the network evaluation algorithm and the congestion control algorithm to compensate and correct the network transmission efficiency between clients according to the network status of each client;

[0076] S74: Based on the branch networks of the medical institution, the interactive control module uses a weighted polling algorithm to load balance the number of clients started in the same period according to the load conditions, so as to complete the network resource scheduling of each remote consultation process in the same platform service area.

[0077] Preferably, in step S8 and step S10, the interactive control module also merges and splits the real-time sorted network channels according to the remote consultation process between the clients: if the remote consultation process involves remote surgery and / or remote emergency treatment, the top three network channels are merged, and part of the network throughput redundancy is reserved; if the remote consultation process does not involve remote surgery and / or remote emergency treatment, or after the remote surgery and / or remote emergency treatment is completed, the merged network channels are split or transferred to ensure the clarity and integrity of each client, and the network continuity of each client undergoing remote surgery and / or remote emergency treatment;

[0078] If the patient's problem is not solved through telemedicine, a referral application will be submitted to all medical institutions in the platform service area through the interactive control module: if the medical equipment of the original medical institution cannot examine the patient, the original medical institution will send a referral application to the superior medical institution. After the superior medical institution agrees, the superior medical institution will receive the medical records of the patient to be transferred and plan a transfer path for the patient from the original medical institution to the superior medical institution; after the superior medical institution has helped the patient through the critical period, it will send a referral application to the original medical institution, and the original medical institution will agree and accept the patient until the patient recovers.

[0079] The present invention processes the medical records through a data management method, and encrypts the medical records through an encryption algorithm to improve the storage security of the medical records; at the same time, it can also ensure the data transmission efficiency during remote consultations among all medical institutions in the same region through a regional collaboration method, ensure the synchronization of audio and video, and avoid misdiagnosis and missed diagnosis. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or related technologies, the drawings required for use in the embodiments or related technical descriptions are briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0081] Figure 1 This is a schematic diagram of the telemedicine regional collaborative service platform;

[0082] Figure 2 It is a principle block diagram of the telemedicine regional collaborative service method;

[0083] Figure 3 This is a block diagram of the principle of the decision rules for selective authorization. DETAILED DESCRIPTION

[0084] The present invention is described in detail below with reference to the accompanying drawings and embodiments:

[0085] like Figure 1 As shown, a telemedicine regional collaborative service platform described in the present invention includes a client and a server; wherein,

[0086] The client is used to transmit the medical information of medical institutions and patients to the server, and realize the interaction of medical information of patients in various types of medical institutions in the platform service area through the server;

[0087] In the present invention, the types of medical institutions include community hospitals, township hospitals, county hospitals and provincial hospitals; patient medical information includes patient medical records, examination results, imaging materials, graphic reports and related cases; patient medical information interaction includes text, video and voice interaction;

[0088] The client includes a login verification module, a data management module, a remote application module and an interactive control module;

[0089] Login verification module, used for identity registration and login verification in various types of medical institutions;

[0090] The data management module is used to collect patient medical records and process abnormal information, and determine the disease level based on the preliminary diagnosis results in the patient medical records;

[0091] Remote application module, used to provide remote consultation application for patients according to the level of their symptoms;

[0092] The interactive control module is used to interact with the patient's medical information during the remote medical diagnosis process; and to perform real-time scheduling of the communication network during the remote medical diagnosis process according to the client's configuration information and the real-time communication network status;

[0093] Among them, the communication network includes wired communication network and wireless communication network; the scheduling of wired communication network includes the selection of communication networks of different operators, such as the switching of China Unicom network, China Telecom network and China Mobile network; the scheduling of wireless communication network includes the scheduling of spectrum resources, time slot resources, power resources and space resources;

[0094] In the present invention, the login verification module in the client is deployed in the smart large screen set up in the consultation room of each medical institution, and the data management module, remote application module and interactive control module are all deployed in the desktop conference terminal and / or mobile conference terminal in the consultation room of each medical institution; both the desktop conference terminal and the mobile conference terminal can adopt existing small computer equipment;

[0095] Spectrum resources are the basis of wireless communication and determine the transmission rate and coverage of wireless networks. Time slot resources are the key to scheduling user data and affect the user's transmission delay and throughput. Power resources are used to control the transmission strength of wireless signals and affect the coverage and interference of wireless networks. Space resources are achieved through multi-antenna technology and can improve the capacity and reliability of wireless networks.

[0096] The server includes a remote authorization module, a regional collaboration module and an intelligent management module;

[0097] Remote authorization module, which is used to review the client's remote medical diagnosis application and allocate medical institutions according to the medical field and medical equipment required by the patient;

[0098] The regional collaboration module is used to build a network topology based on the network address of the client that has applied for remote medical diagnosis, and to monitor the network status of the client in the process of remote medical diagnosis in real time;

[0099] Intelligent management module, used to encrypt and manage patient medical information during remote medical diagnosis;

[0100] In the present invention, the server calls the smart cameras and display cameras installed in various types of medical institutions to record the remote consultation process between the medical institutions; the medical staff of the medical institutions use several deployment methods to operate and deploy the server; the deployment methods include docker cluster, local deployment, private cloud and / or public cloud;

[0101] When the telemedicine regional collaborative service platform of the present invention is used:

[0102] Medical staff of various types of medical institutions register and log in to the medical institution through the login verification module of the client; after completing the login verification, the medical staff collects the patient's medical records through the data management module and processes the abnormal information in the patient's medical records; the data management module determines the disease level according to the preliminary diagnosis results in the patient's medical records after the abnormal information is processed; according to the disease level, the medical staff submits a remote medical diagnosis application for the patient through the remote application module and sends the remote medical diagnosis application to the server;

[0103] The remote authorization module of the server reviews the client's remote medical diagnosis application and allocates medical institutions according to the medical field and medical equipment required by the patient;

[0104] During the telemedicine diagnosis process, medical staff can achieve real-time communication through smart large screens, desktop conferencing terminals and / or mobile conferencing terminals, so as to realize telemedicine diagnosis of patients through patient medical information, real-time voice communication and video diagnostic observation.

[0105] During the telemedicine diagnosis process, the interactive control module of the client interacts with the patient's medical information; and according to the configuration information of the client and the real-time communication network status, the wired communication network is selected and switched during the telemedicine diagnosis process, and / or the spectrum resources, time slot resources, power resources and space resources of the wireless communication network are scheduled;

[0106] During the telemedicine diagnosis process, the regional collaboration module builds a network topology based on the network address of the client that applied for telemedicine diagnosis, and monitors the network status of the client in real time;

[0107] During the remote medical diagnosis process, the intelligent management module encrypts and manages the patient's medical information;

[0108] like Figure 2 As shown, a telemedicine regional collaborative service method described in the present invention comprises the following steps in sequence:

[0109] S1: All medical institutions in the platform service area register and log in through the client login verification module;

[0110] S2: After completing the login verification, the data management module collects the patient's medical records and processes abnormal information;

[0111] S3: The data management module determines the disease level of the preliminary diagnosis results of the patient's medical records that have undergone abnormal information processing according to the set disease level standard;

[0112] S4: According to the disease level, the medical staff uses the remote application module to apply for remote medical diagnosis for the patient, and sends the remote medical diagnosis application to the server;

[0113] S5: The remote authorization module of the server reviews all remote medical diagnosis applications within the same period and allocates medical institutions according to the medical field and medical equipment required by the patient;

[0114] S6: The regional collaboration module of the server builds a network topology based on the network address of the client that has applied for remote consultation, and monitors the network status of the client in real time;

[0115] S7: The interactive control module of the client selects and switches the wired communication network during the remote medical diagnosis process according to the configuration information of the client and the real-time communication network status, and / or schedules the spectrum resources, time slot resources, power resources and space resources of the wireless communication network;

[0116] S8: The interactive control module interacts with the patient medical information between the clients according to the wired communication network and / or wireless communication network that has completed the scheduling;

[0117] S9: The intelligent management module of the server encrypts and manages the patient medical information during the remote medical diagnosis process;

[0118] S10: After the remote consultation, if the original medical institution is unable to treat the patient, the interactive control module will apply for referral to all medical institutions in the platform service area that meet the medical fields and medical equipment required by the patient, and select one of the authorized medical institutions according to the referral distance;

[0119] The original medical institution is the medical institution that first sends a remote consultation application through the client;

[0120] In the present invention, in step S1, the workflow of the login verification module is:

[0121] S11: Automatically selecting medical institution address information for the medical institution according to the medical institution location information;

[0122] In this embodiment, the address information of the medical institution includes province, city, county, town, township and / or community;

[0123] S12: The medical institution fills in the account application information, completes the institution's electronic account application after review, and randomly generates an initial account password;

[0124] In this embodiment, the account application information includes the hospital name, approval authority, organization code and contact information;

[0125] S13: The medical institution adds the medical field, medical equipment information and medical staff information in the institution's electronic account in sequence;

[0126] In this embodiment, the medical field includes clinical medicine, traditional Chinese medicine, basic medicine, laboratory medicine, preventive medicine, health care medicine and rehabilitation medicine; the medical equipment information includes the equipment type, purchase time, equipment manufacturer and equipment quantity; the medical staff information includes the medical staff name, ID card, medical field, physician qualification certificate and physician practice certificate;

[0127] S14: The medical institution modifies the initial password of the institution's electronic account, and performs a hash operation on the medical institution's electronic official seal and a 6-digit random number, which is used as the SMS verification code for password modification. The medical institution uses the SMS verification code to complete the password modification;

[0128] S15: Medical institutions shall set up individual sub-accounts for patients and medical staff in the institutional electronic account and verify the password of the institutional electronic account every time they log in;

[0129] In the present invention, in steps S2 to S3, the data management module collects and processes the patient's medical records, and determines the disease level according to the preliminary diagnosis results in the patient's medical records. The process is as follows:

[0130] A: After the medical institution logs into the institution's electronic account, medical staff collect the patient's medical records in a variety of ways; the collection methods include manual entry, attachment upload and automatic collection;

[0131] In this embodiment, the contents of the patient's medical records include outpatient medical records, hospitalization records, physical examination forms, doctor's orders, laboratory test forms, special examination consent forms, surgical consent forms, surgical anesthesia records, pathological data and / or nursing records;

[0132] B: Perform text recognition and extraction on the collected medical records; recognize the handwritten text in the medical records and convert it into printed text; use the SpellGCN model to correct the similar characters and similar pronunciation characters in the medical records;

[0133] C: The patient's name in the medical record is converted into a 4-bit code using pinyin, and then hashed with the ID number to generate an identification serial number;

[0134] D: Assign identification serial numbers to the identified and extracted medical records, and extract examination item names and examination item data from the medical records;

[0135] E: Perform information anomaly processing on the extracted inspection item names and inspection item data, remove duplicate inspection item names and inspection item data, and extract and check the missing inspection item names and inspection item data for a second time;

[0136] In this embodiment, a fuzzy matching algorithm is used to remove duplicates from the examination item names and examination item data; the secondary extraction and verification refers to re-extracting and verifying the missing examination item names and examination item data at the corresponding information in the patient's medical record. If the corresponding information is blank, the secondary extraction and verification process is stopped;

[0137] F: The data management module determines the disease level of the preliminary diagnosis results of the processed medical records according to the set level standards, and transmits the disease level to the remote application module;

[0138] The disease levels are level one critical, level two critical deterioration, level three acute disease, and level four non-acute disease;

[0139] G: If the disease level is level one to level three, the medical staff will back up the patient's medical records to their personal sub-accounts in the institution's electronic account through the client, and classify the patient's medical records into acceptable and unacceptable types based on the medical field and medical equipment required by the patient. For acceptable types, the patient's medical records will be assigned to the corresponding medical department in the hospital, and for unacceptable types, remote consultation will be applied for the patient;

[0140] If the disease level is level 4, the patient's medical records will be assigned to the corresponding medical department within the hospital based on the medical field and medical equipment required by the patient;

[0141] The medical field includes clinical medicine, traditional Chinese medicine, basic medicine, laboratory medicine, preventive medicine, health care medicine and rehabilitation medicine;

[0142] In the present invention, steps S4 to S5 include the following specific steps:

[0143] First, medical staff use the client's remote application module to fill out a consultation application form for the patient, upload the patient's medical records, and scan the patient's informed consent form according to the disease level;

[0144] Then, the remote application module encrypts the obtained consultation application form, symptom level, medical history and patient informed consent form, generates a corresponding consultation application, and transmits it to the remote authorization module of the server;

[0145] Subsequently, after receiving the consultation application, the remote authorization module of the server selectively authorizes and sorts the received consultation application according to the real-time treatment capacity of all medical institutions in the platform service area and the disease level in the consultation application;

[0146] In the present invention, the real-time treatment capacity of a medical institution can be determined based on the patient flow and the medical staff's schedule;

[0147] like Figure 3As shown, the decision rule of the selective authorization of the present invention is:

[0148] a: The medical institution counts the number of patients with the same type of disease in the medical institution to obtain the total number of patients with the same type of disease;

[0149] b: Medical institutions obtain the shift schedules of medical staff who diagnose and treat the same type of diseases to confirm the overlapping diagnosis time of the medical staff;

[0150] In this embodiment, the diagnosis intersection time is the common free time of all medical staff excluding rest time;

[0151] c: Medical institutions determine their real-time treatment capacity (RDTC) based on the diagnosis intersection time and the total number of patients with the same type of disease:

[0152] Among them, DIT represents the diagnostic intersection time coefficient, TNPSD represents the total number of patients with the same type of disease, TC represents the treatment capacity of the medical institution, and OOC represents the operation restriction coefficient;

[0153] d: Screen all consultation applications based on the real-time treatment capacity of medical institutions, the referral distance between medical institutions, and the disease level in the consultation application, and authorize the screened consultation applications:

[0154]

[0155] Among them, COD ′ represents the number of consultation applications that have been screened, β represents the utilization rate of admission, and RDTC i represents the real-time treatment capacity of each medical institution, i represents the medical institution number, n represents the total number of medical institutions, and α i Represents the distance error coefficient of each medical institution, P i Indicates the address of the medical institution, represents the Hadamard operation, γ represents the disease level matrix of each consultation application, and COD represents all consultation applications;

[0156] e: Sort authorized consultation applications according to the severity and referral distance from serious to minor and from near to far, and automatically allocate remote consultation reservation time according to the authorization time of the consultation application;

[0157] Finally, the remote authorization module of the server re-examines the disease level in the authorized consultation application according to the patient's medical history, and allocates the authorized consultation applications in the same period to medical institutions with the same type of diseases, and finally completes the application authorization and medical institution allocation for remote consultation;

[0158] In the present invention, in step S6, the workflow of the regional collaboration module is:

[0159] S61: Count the number of consultation applications assigned to each medical institution and sort them according to the remote consultation booking time;

[0160] Remote consultation booking time is automatically allocated for all consultation requests of the same disease level according to the schedule of medical staff required for remote consultation and the authorization time of the current consultation application;

[0161] S62: Aggregate consultation applications within the same time period, obtain the network address of the client to which the consultation application belongs, and then build a network topology corresponding to each medical institution;

[0162] S63: When the remote consultation reservation time arrives, the client of the medical institution that has submitted and is assigned to the remote medical diagnosis application is started, and the corresponding node in the network topology is lit up at the same time;

[0163] S64: During the operation of the client, the regional collaboration module monitors the network throughput of each client: if the network throughput is less than the preset network rate threshold, a remote message reminder is sent to the interaction control module of the corresponding client; if the network throughput is greater than or equal to the preset network rate threshold, the network throughput of the corresponding client continues to be monitored in real time;

[0164] S65: After the remote consultation process between the clients is completed, the regional collaboration module updates the network topology corresponding to the current medical institution;

[0165] In the present invention, in step S7, the workflow of the interactive control module is:

[0166] S71: During the operation of the client, the interactive control module periodically receives the load conditions, network status and real-time network speed of different network channels from the client to calculate the network throughput of each network channel:

[0167] Network status includes bandwidth, latency, packet loss rate, and routing efficiency;

[0168]

[0169] Among them, Throughput indicates the real-time network speed, Bandwidth indicates the bandwidth, Packet Loss Rate indicates the packet loss rate, Routing Efficienc indicates the routing efficiency, and LF indicates the delay factor;

[0170] The relationship between network throughput and real-time network speed is:

[0171]

[0172] Among them, Perceived Throughput represents the network throughput;

[0173] S72: If the network throughput of the current network channel is lower than the preset network rate threshold, and the remote consultation does not involve remote surgery and / or remote emergency treatment, then according to the remote message reminder sent by the regional collaboration module, the interactive control module sorts the network throughputs of all network channels from high to low, and switches to the network channel with the largest network throughput; if the network throughput of the current network channel is higher than the preset network rate threshold, continue to maintain the connection with the current network channel;

[0174] S73: Under the condition that all clients are connected to the optimal network channel, the interactive control module uses the network evaluation algorithm and the congestion control algorithm to compensate and correct the network transmission efficiency between clients according to the network status of each client;

[0175] S74: Based on the branch networks of the medical institution, the interactive control module uses a weighted polling algorithm to load balance the number of clients started in the same period according to the load conditions, so as to complete the network resource scheduling of each remote consultation process in the same platform service area;

[0176] In the present invention, the network evaluation algorithm, the congestion control algorithm and the weighted polling algorithm are all prior arts and will not be described in detail here;

[0177] In the present invention, in step S8 and step S10, the interactive control module also merges and splits the real-time sorted network channels according to the remote consultation process between the clients: if the remote consultation involves remote surgery and / or remote emergency treatment, the top three network channels are merged, and part of the network throughput redundancy is reserved; if the remote consultation does not involve remote surgery and / or remote emergency treatment, or after the remote surgery and / or remote emergency treatment is completed, the merged network channels are split or transferred to ensure the clarity and integrity of each client, and the network continuity of each client that is undergoing remote surgery and / or remote emergency treatment;

[0178] If the patient's problem is not solved through telemedicine, the interactive control module can be used to apply for referral to all medical institutions in the same area: if the medical equipment of the original medical institution cannot examine the patient, the original medical institution sends a referral application to the superior medical institution. After the superior medical institution agrees, the superior medical institution receives the medical records of the patient to be transferred and plans a transfer path for the patient from the original medical institution to the superior medical institution; after the superior medical institution helps the patient pass the critical period, it sends a referral application to the original medical institution, and the original medical institution agrees and accepts the patient until the patient recovers;

[0179] In the present invention, in step S9, the intelligent management module encrypts the patient's medical information, consultation application form, symptom level and patient informed consent form:

[0180] First, the encryption module uses the chaotic function to initialize the chaotic sequence:

[0181] x (k,i+1) =foreach(Chaos k (x (k,i) ),k 2 ) (5)

[0182] Among them, x represents the chaotic sequence, k represents the kth dimension of the chaotic sequence, i represents the i-th item of the chaotic sequence, and x (k,i+1) represents the i-th item of the chaotic sequence of the k-th dimension, foreach() represents a loop function, Chaos k () represents the chaotic function of the kth dimension;

[0183] Subsequently, the encryption module uses the chaotic sequence and the extended key to dynamically generate the substitution box function and the permutation box function:

[0184] ABox=GenerateBoxes(x (1,t) ,…,x (m,t) ,EK,C) (6)

[0185] SBox=GenerateBoxes(x (m,1) ,…,x (m,t) ,EK,C) (7)

[0186] Among them, ABox represents the substitution box function, GenerateBoxes() represents the box generation function, t represents the total number of terms in the chaotic sequence, m represents the total number of dimensions in the chaotic sequence, EK represents the extended key, C represents the total number of decryptions, and SBox represents the substitution box function;

[0187] Then, the encryption module uses the substitution box function and the permutation box function to perform nonlinear processing on the encryption key to obtain the obfuscated ciphertext:

[0188] MP j =SBox[ABox[M j ⊕x (k,i) ]] (8)

[0189] Among them, MP represents the obfuscated ciphertext, j represents the jth item of the obfuscated ciphertext, and MP j represents the jth item of the obfuscated ciphertext, M represents the encryption key, and M j represents the jth item of the encryption key;

[0190] Finally, the encryption module encrypts the patient's medical information, consultation application form, disease level, and patient informed consent form based on the obtained obfuscated ciphertext and identification serial number to obtain encrypted medical records:

[0191]

[0192] Among them, CT represents the ciphertext of the encrypted private key, n represents the total number of obfuscated ciphertext items, represents Hadamard operation, ∏ represents N-term product, S represents patient medical information, W1 represents consultation application form, W2 represents disease level, W3 represents patient informed consent form, and P represents identification serial number;

[0193] In this embodiment, the chaotic sequence is a sequence with chaotic characteristics generated by a chaotic model; the chaotic sequence can be generated through multiple iterations using the following methods: Logistic mapping, PWLCM mapping, Singer mapping, Sine mapping, Gaussian mapping, tent mapping, etc.;

[0194] Embodiment 2:

[0195] When the remote medical regional collaborative service platform is running, the client's login verification module automatically selects the province, city, county, town, township and / or community for the medical institution based on the positioning information; the medical institution fills in the hospital name, approval authority, organization code and contact information, and then completes the institution's electronic account application, and randomly generates the account's initial password; the medical institution adds the medical field, medical equipment information and medical staff information in the institution's electronic account in sequence; the medical staff information includes the medical staff's name, ID card, medical field, physician qualification certificate and physician practice certificate; the medical equipment information includes the equipment type, purchase time, equipment manufacturer and equipment quantity; after completing the information addition, the medical institution modifies the initial password of the institution's electronic account, and hashes the medical institution's electronic official seal with a 6-digit random number as the SMS verification code for password modification, and the medical institution uses the SMS verification code to complete the password modification; if necessary, the medical institution sets up separate personal sub-accounts for patients and medical staff in the institution's electronic account, and verifies the institution's electronic account password each time it logs in;

[0196] Then, after the medical institution logs into the institution's electronic account, it collects the patient's medical records in a variety of ways; the collection methods include manual entry, attachment uploading and automatic collection; the content of the patient's medical records includes outpatient medical records, hospitalization records, physical examination forms, doctor's orders, laboratory test forms, special examination consent forms, surgical consent forms, surgical anesthesia records, pathological data and / or nursing records; the client's data management module performs text recognition and extraction on the collected patient's medical records, recognizes the handwritten text in the patient's medical records, and converts it into printed text; the SpellGCN model is used to correct the similar-looking and similar-sounding characters in the patient's medical records, and the patient's medical records in the outpatient medical records are converted into printed text. The name is represented in pinyin and then converted into a 4-bit code, and after a hash operation with the ID number, an identification serial number is generated; the identified and extracted medical records are assigned an identification serial number, and the examination item names and examination item data are extracted at the same time; the extracted information data is corrected for abnormalities, the repeated information data is deduplicated, and the missing information data is extracted and checked again; the data management module determines the disease level of the preliminary diagnosis results of the medical records of patients who have completed the information abnormality processing according to the set level standards: level one endangered, level two critical deterioration, level three acute disease and level four non-acute disease; and the disease level is transmitted to the remote application module;

[0197] If the disease level is level one to level three, the medical staff will back up the patient's medical records to their personal sub-accounts in the institution's electronic account through the client, and classify the patient's medical records into acceptable and unacceptable types based on the medical field and medical equipment required by the patient. For acceptable types, the patient's medical records will be assigned to the corresponding medical department in the hospital, and for unacceptable types, a remote consultation will be applied for the patient;

[0198] If the disease level is level 4, the patient's medical records will be assigned to the corresponding medical department within the hospital based on the medical field and medical equipment required by the patient;

[0199] Subsequently, the medical staff fills out the consultation application form for the patient, uploads the patient's medical records and scans the patient's informed consent form through the remote application module of the client; the remote application module encrypts the obtained consultation application form, symptom level, patient medical records and patient informed consent form, generates the corresponding consultation application, and transmits it to the remote authorization module of the server; after receiving the consultation application, the remote authorization module of the server selectively authorizes and sorts the received consultation application according to the real-time treatment capacity of all medical institutions in the platform service area and the symptom level in the consultation application; the remote authorization module of the server re-examines the authorized consultation application according to the symptom level in the consultation application according to the patient's medical records, and allocates the authorized consultation applications in the same period to medical institutions with the same type of symptoms, and finally completes the application authorization and medical institution allocation of the remote consultation;

[0200] The regional collaboration module of the server counts the number of consultation applications assigned to each medical institution and sorts them according to the remote consultation booking time; aggregates the consultation applications within the same period, and obtains the network address of the client to which the consultation application belongs, and then builds the corresponding network topology for each medical institution; when the remote consultation booking time arrives, the client of the medical institution that has submitted and allocated the remote medical diagnosis application is started, and the corresponding node in the network topology is lit up at the same time; during the operation of the client, the regional collaboration module monitors the network throughput of each client: if the network throughput is less than the preset network rate threshold, a remote message reminder is sent to the interactive control module of the corresponding client; if the network throughput is greater than or equal to the preset network rate threshold, the network throughput of the corresponding client continues to be monitored in real time; after the remote consultation process between clients is completed, the regional collaboration module updates the network topology corresponding to the current medical institution;

[0201] During the operation of the client, the interactive control module regularly receives the load conditions, network status and real-time network speed of different network channels from the client to calculate the network throughput of each network channel; if the network throughput of the current network channel is lower than the preset network rate threshold, and the remote consultation does not involve remote surgery and / or remote emergency treatment, then according to the remote message reminder sent by the regional collaboration module, the interactive control module sorts the network throughput of all network channels from high to low, and switches to the network channel with the largest network throughput; if the network throughput of the current network channel is higher than the preset network rate threshold, it continues to maintain connection with the current network channel; while ensuring that all clients are connected to the optimal network channel, the interactive control module uses the network evaluation algorithm and congestion control algorithm to compensate and correct the network transmission efficiency between clients according to the network status of each client; according to the branch networks of the medical institution, the interactive control module uses the weighted polling algorithm to load balance the number of clients started in the same period according to the load conditions, so as to complete the network resource scheduling of each remote consultation process in the same platform service area;

[0202] Finally, the interactive control module merges and splits the real-time sorted network channels according to the remote consultation process between the clients: if the remote consultation involves remote surgery and / or remote emergency treatment, the top three network channels will be merged and some network throughput redundancy will be reserved; if the remote consultation does not involve remote surgery and / or remote emergency treatment, or after the remote surgery and / or remote emergency treatment is completed, the merged network channels will be split or transferred to ensure that the medical records and related documents of each client are clear and complete, and the network continuity of each client undergoing remote surgery and / or remote emergency treatment;

[0203] The server's intelligent management module encrypts and manages the patient's medical information during the remote medical diagnosis process;

[0204] After the remote consultation, if the original medical institution is unable to treat the patient, it can apply for referral to all medical institutions in the same area through the interactive control module: if the medical equipment of the original medical institution cannot examine the patient, the original medical institution sends a referral application to the superior medical institution. After the superior medical institution agrees, the superior medical institution receives the medical records of the patient to be transferred and plans a transfer path for the patient from the original medical institution to the superior medical institution; after the superior medical institution helps the patient pass the critical period, it sends a referral application to the original medical institution, and the original medical institution agrees and accepts the patient until the patient recovers.

Claims

1. A remote medical regional collaborative service platform, characterized by: Includes client and server; among them, The client is used to transmit the medical information of medical institutions and patients to the server, and realize the interaction of medical information of patients in various types of medical institutions in the platform service area through the server; The client includes a login verification module, a data management module, a remote application module and an interactive control module; Login verification module, used for identity registration and login verification in various types of medical institutions; The data management module is used to collect patient medical records and process abnormal information, and determine the disease level based on the preliminary diagnosis results in the patient medical records; Remote application module, used to provide remote consultation application for patients according to the level of their symptoms; The interactive control module is used to interact with the patient's medical information during the remote medical diagnosis process; and to perform real-time scheduling of the communication network during the remote medical diagnosis process according to the client's configuration information and the real-time communication network status; The server includes a remote authorization module, a regional collaboration module and an intelligent management module; Remote authorization module, which is used to review the client's remote medical diagnosis application and allocate medical institutions according to the medical field and medical equipment required by the patient; The regional collaboration module is used to build a network topology based on the network address of the client that has applied for remote medical diagnosis, and to monitor the network status of the client in the process of remote medical diagnosis in real time; The intelligent management module is used to encrypt and manage the patient's medical information during the remote medical diagnosis process.

2. The remote medical regional collaborative service platform according to claim 1, characterized in that: The login verification module in the client is deployed in the smart large screen set up in the consultation room of each medical institution, and the data management module, remote application module and interactive control module are all deployed in the desktop conference terminal and / or mobile conference terminal in the consultation room of each medical institution.

3. The remote medical regional collaborative service platform according to claim 1, characterized in that: The types of medical institutions include community-based hospitals, township-level hospitals, county-level hospitals and provincial-level hospitals; the server calls the smart cameras and display cameras installed in various types of medical institutions to record the remote consultation process between the medical institutions; the medical staff of the medical institutions use several deployment methods to operate and deploy the server; the deployment methods include docker clusters, local deployment, private clouds and / or public clouds.

4. A telemedicine regional collaborative service method, applied to the telemedicine regional collaborative service platform according to any one of claims 1 to 3, characterized in that: The following steps are included in sequence: S1: All medical institutions in the platform service area register and log in through the client login verification module; S2: After completing the login verification, the data management module collects and processes the patient's medical records; S3: The data management module determines the disease level of the preliminary diagnosis results of the patient's medical records that have undergone abnormal information processing according to the set disease level standard; S4: According to the disease level, the medical staff uses the remote application module to apply for remote medical diagnosis for the patient, and sends the remote medical diagnosis application to the server; S5: The remote authorization module of the server reviews all remote medical diagnosis applications within the same period and allocates medical institutions according to the medical field and medical equipment required by the patient; S6: The regional collaboration module of the server builds a network topology based on the network address of the client that has applied for remote consultation, and monitors the network status of the client in real time; S7: The interactive control module of the client selects and switches the wired communication network during the remote medical diagnosis process according to the configuration information of the client and the real-time communication network status, and / or schedules the spectrum resources, time slot resources, power resources and space resources of the wireless communication network; S8: The interactive control module interacts with the patient medical information between the clients according to the wired communication network and / or wireless communication network that has completed the scheduling; S9: The intelligent management module of the server encrypts and manages the patient medical information during the remote medical diagnosis process; S10: After the remote consultation is completed, if the original medical institution is unable to treat the patient, a referral application is made to all medical institutions in the platform service area that meet the medical fields and medical equipment required by the patient through the interactive control module, and one of the authorized medical institutions is selected based on the referral distance; the original medical institution is the medical institution that first sent the remote consultation application through the client.

5. The remote medical regional collaborative service platform according to claim 4, characterized in that: In steps S2 to S3, the data management module collects and processes the patient's medical records, and determines the disease level according to the preliminary diagnosis results in the patient's medical records. The process is as follows: A: After the medical institution logs into the institution's electronic account, medical staff collect the patient's medical records in a variety of ways; the collection methods include manual entry, attachment upload and automatic collection; B: Perform text recognition and extraction on the collected medical records; C: The patient's name in the medical record is converted into an M-ary code using pinyin, and then hashed with the ID number to generate an identification serial number; D: Assign identification serial numbers to the identified and extracted medical records, and extract examination item names and examination item data from the medical records; E: Perform information anomaly processing on the extracted inspection item names and inspection item data, remove duplicate information data, and extract and check the missing information data again; F: The data management module determines the disease level of the preliminary diagnosis results of the medical records of patients whose information abnormality processing has been completed according to the set level standards, and transmits the disease level to the remote application module; The disease levels are level one critical, level two critical deterioration, level three acute disease, and level four non-acute disease; G: If the disease level is level one to level three, the medical staff will back up the patient's medical records to their personal sub-accounts in the institution's electronic account through the client, and classify the patient's medical records into hospital-acceptable and hospital-unacceptable types based on the medical field and medical equipment required by the patient. For hospital-acceptable types, the patient's medical records will be assigned to the corresponding medical department in the hospital, and for hospital-unacceptable types, a remote consultation will be applied for the patient; If the disease level is level 4, the patient's medical records will be assigned to the corresponding medical department within the hospital based on the medical field and medical equipment required by the patient; The medical field includes clinical medicine, traditional Chinese medicine, basic medicine, laboratory medicine, preventive medicine, health care medicine and rehabilitation medicine.

6. The telemedicine regional collaborative service platform according to claim 4, characterized in that: The steps S4 to S5 include the following steps: First, medical staff use the client's remote application module to fill out a consultation application form for the patient, upload the patient's medical records, and scan the patient's informed consent form according to the disease level; Then, the remote application module encrypts the obtained consultation application form, symptom level, medical history and patient informed consent form, generates a corresponding consultation application, and transmits it to the remote authorization module of the server; Subsequently, after receiving the consultation application, the remote authorization module of the server selectively authorizes and sorts the received consultation application according to the real-time treatment capacity of all medical institutions in the platform service area and the disease level in the consultation application; Finally, the remote authorization module of the server re-examines the disease level in the authorized consultation application according to the patient's medical history, and allocates the authorized consultation applications in the same period to medical institutions with the same type of diseases, finally completing the application authorization and medical institution allocation for remote consultation.

7. The remote medical regional collaborative service platform according to claim 6, characterized in that: The decision rule for the selective authorization is: a: The medical institution counts the number of patients with the same type of disease in the medical institution to obtain the total number of patients with the same type of disease; b: Medical institutions obtain the shift schedules of medical staff who diagnose and treat the same type of diseases to confirm the overlapping diagnosis time of the medical staff; Diagnostic intersection time is the common free time of all medical staff excluding rest time; c: Medical institutions determine their real-time treatment capacity (RDTC) based on the diagnosis intersection time and the total number of patients with the same type of disease: Among them, DIT represents the diagnostic intersection time coefficient, TNPSD represents the total number of patients with the same type of disease, TC represents the treatment capacity of the medical institution, and OOC represents the operation restriction coefficient; d: Screen all consultation applications based on the real-time treatment capacity of medical institutions, the referral distance between medical institutions, and the disease level in the consultation application, and authorize the screened consultation applications: Among them, COD ′ represents the number of consultation applications that have been screened, β represents the utilization rate of admission, and RDTC i represents the real-time treatment capacity of each medical institution, i represents the medical institution number, n represents the total number of medical institutions, and α i Represents the distance error coefficient of each medical institution, P i Indicates the address of the medical institution, represents the Hadamard operation, γ represents the disease level matrix of each consultation application, and COD represents all consultation applications; e: Sort the authorized consultation applications according to the severity and referral distance from severe to mild and from near to far, and automatically allocate the remote consultation booking time according to the authorization time of the consultation application.

8. The remote medical regional collaborative service platform according to claim 4, characterized in that: In step S6, the workflow of the regional collaboration module is as follows: S61: Count the number of consultation applications assigned to each medical institution and sort them according to the remote consultation booking time; Remote consultation booking time is automatically allocated for all consultation requests of the same disease level according to the schedule of medical staff required for remote consultation and the authorization time of the current consultation application; S62: Aggregate consultation applications within the same time period, obtain the network address of the client to which the consultation application belongs, and then build a network topology corresponding to each medical institution; S63: When the remote consultation reservation time arrives, the client starts and lights up the corresponding node in the network topology; S64: During the operation of the client, the regional coordination module monitors the network throughput of each client: if the network throughput is less than a preset network rate threshold, a remote message reminder is sent to the interaction control module of the corresponding client; If the network throughput is greater than or equal to the preset network rate threshold, the network throughput of the corresponding client continues to be monitored in real time; S65: After the remote consultation process between the clients is completed, the regional collaboration module updates the network topology corresponding to the current medical institution.

9. The remote medical regional collaborative service platform according to claim 4, characterized in that: In step S7, the workflow of the interactive control module is as follows: S71: During the operation of the client, the interactive control module periodically receives the load conditions, network status and real-time network speed of different network channels from the client to calculate the network throughput of each network channel: Network status includes bandwidth, latency, packet loss rate, and routing efficiency; Among them, Throughput indicates the real-time network speed, Bandwidth indicates the bandwidth, Packet Loss Rate indicates the packet loss rate, Routing Efficienc indicates the routing efficiency, and LF indicates the delay factor; The relationship between network throughput and real-time network speed is: Among them, Perceived Throughput represents the network throughput; S72: If the network throughput of the current network channel is lower than the preset network rate threshold, and the remote consultation does not involve remote surgery and / or remote emergency treatment, then according to the remote message reminder sent by the regional collaboration module, the interactive control module sorts the network throughputs of all network channels from high to low, and switches to the network channel with the largest network throughput; if the network throughput of the current network channel is higher than the preset network rate threshold, continue to maintain the connection with the current network channel; S73: Under the condition that all clients are connected to the optimal network channel, the interactive control module uses the network evaluation algorithm and the congestion control algorithm to compensate and correct the network transmission efficiency between clients according to the network status of each client; S74: Based on the branch networks of the medical institution, the interactive control module uses a weighted polling algorithm to load balance the number of clients started in the same period according to the load conditions, so as to complete the network resource scheduling of each remote consultation process in the same platform service area.

10. The remote medical regional collaborative service platform according to claim 4, characterized in that: In step S8 and step S10, the interactive control module also merges and splits the real-time sorted network channels according to the remote consultation process between the clients: if the remote consultation process involves remote surgery and / or remote emergency treatment, the top three network channels are merged and some network throughput redundancy is reserved; If the remote consultation process does not involve remote surgery and / or remote emergency treatment, or after the remote surgery and / or remote emergency treatment is completed, the merged network channel will be split or transferred to ensure the clarity and integrity of each client and the network continuity of each client undergoing remote surgery and / or remote emergency treatment; If the patient's problem is not solved through telemedicine, a referral application will be submitted to all medical institutions in the platform service area through the interactive control module: if the medical equipment of the original medical institution cannot examine the patient, the original medical institution will send a referral application to the superior medical institution. After the superior medical institution agrees, the superior medical institution will receive the medical records of the patient to be transferred and plan a transfer path for the patient from the original medical institution to the superior medical institution; after the superior medical institution has helped the patient through the critical period, it will send a referral application to the original medical institution, and the original medical institution will agree and accept the patient until the patient recovers.

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