Full-exclusive cooperation assistant system based on cloud platform
Through the cloud-based general and specialist collaboration assistant system, fast collaborative outpatient clinics are achieved between general hospitals and specialist hospitals. The dual recommendation algorithm and weighted collaborative filtering algorithm are used to solve the problem of regional medical data not being connected, improve the rational allocation of medical resources and the work efficiency of doctors, and support patients to make appointments with specialists and remote drug delivery.
Patent Information
- Application Number
- CN202510924227.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-04
- Publication Date
- 2025-10-10
AI Technical Summary
In existing technologies, collaboration between hospitals mainly relies on audio and video interaction and third-party cloud platforms, which fails to truly connect regional medical data, affects doctors' daily work and fails to reduce their burden.
A cloud-based collaborative assistant system for general practitioners and specialists is designed, which includes a general practitioner assistant terminal, a specialist assistant terminal, a management terminal, a cloud platform, and a data center. Through a dual recommendation algorithm and a weighted collaborative filtering algorithm, it enables fast remote collaboration between general practitioners and specialists, supports data interaction, data storage and analysis, and provides audio and video communication functions.
It has realized the rapid collaborative outpatient clinic between general hospitals and specialist hospitals, solved the problem of sinking medical resources, supported patients to make appointments with specialists without leaving the general hospital, and provided medical insurance card deduction and remote drug delivery services by connecting with the hospital's HIS system, thus improving the rational allocation of medical resources and the work efficiency of doctors.
Smart Images
Figure CN120766905A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the field of regional medical care, and specifically relates to a cloud platform-based full-specialty collaborative assistant system, which provides a more convenient working method for regional medical care. Background Art
[0002] Currently, in the field of regional medical care, most collaborations between hospitals are conducted directly through audio and video interaction, or in the form of third-party cloud platforms. Regional medical data is not truly connected, and the use of these systems affects doctors' daily work. Specific time arrangements are required for remote collaborative diagnosis, which does not reduce the burden on doctors. Summary of the Invention
[0003] In response to the shortcomings of the existing technology, the present invention provides a cloud-based full-specialty collaboration assistant system, which mainly uses modules such as the assistant terminal, management terminal, cloud platform, and data center to create an outpatient model for regional medical general practitioners and doctors in specialized hospitals to quickly and conveniently conduct daily remote collaboration. It insists on serving and improving people's livelihood as the starting point and end point, and establishes a convenient medical service model with patients as the specialists.
[0004] A cloud platform-based general and specialist collaborative assistant system includes a general assistant terminal, a specialist assistant terminal, a management terminal, a cloud platform and a data center.
[0005] The general practitioner assistant terminal is set up at the general practitioner workstation to help the general practitioner assist patients and send outpatient applications to specialists. At the same time, when selecting specialists, a dual recommendation algorithm is used to recommend suitable specialists.
[0006] The specialist assistant terminal is arranged at the specialist doctor's workstation to help the specialist doctor perform remote outpatient work.
[0007] The management end implements basic configuration of other modules through background management.
[0008] The cloud platform is used to realize data interaction between the general assistant terminal and the specialist assistant terminal, data collection from various hospitals, big data analysis and data transmission.
[0009] The data center is used to store all relevant data in the full-time and professional collaboration process.
[0010] In one possible implementation, the GP Assistant is bound to the GP workstation account, automatically identifies the GP workstation status and logs in, synchronizing and managing the GP workstation HIS system data. The GP uses the Assistant to initiate a collaborative outpatient clinic application and select the service to apply for. After confirming the application and entering the patient's clinic number, a specialist is selected using a dual recommendation algorithm.
[0011] In one possible implementation, the dual recommendation algorithm includes a hybrid recommendation algorithm and a mixed recommendation algorithm; when the general practitioner selects a specialist department and does not specify a specialist, the system will automatically match a suitable doctor based on the hybrid recommendation algorithm; when the general practitioner specifies a specialist, the system will initiate an application call to the specialist through the specialist assistant terminal. If there is no response within the set time, the system will match similar specialists based on the weighted collaborative filtering recommendation algorithm, and ask the general practitioner whether he agrees. If he agrees, he will immediately initiate an application call to the matched specialist, otherwise the application will end. When the general practitioner initiates a collaborative outpatient application, the general practitioner assistant terminal will display the application details including patient information, general practitioner name, general practitioner's institution and patient's outpatient records to the specialist through the cloud platform on the specialist assistant terminal.
[0012] In a possible implementation, the hybrid recommendation algorithm is specifically implemented as follows: After the general practitioner selects the target department, the system uses the patient's current diagnosis results and the patient's disease type as recommendation model A; selects the diseases that the specialist is good at and the specialist's diagnosis history as recommendation model B. The combination of A and B is input into the existing social network analysis and recommendation algorithm model to obtain the final specialist recommendation set C. The system will match multiple specialists in the designated department who are currently online, and simultaneously initiate consultation applications to all matched specialists.
[0013] In one possible implementation, the weighted collaborative filtering recommendation algorithm is implemented as follows: The weighted factors of the weighted collaborative filtering recommendation algorithm include department, disease expertise, professional title and hospital level. Based on the automatic weight allocation of these factors, the system will filter and match multiple online specialists similar to the doctor online. After the matching is completed, a consultation request call will be initiated to all matched specialists at the same time.
[0014] In a possible implementation, the specialist assistant terminal is automatically bound to the specialist doctor workstation account, automatically logs in according to the specialist doctor workstation login status, and synchronously manages the specialist doctor workstation HIS system data; when an outpatient application call is received, the specialist assistant terminal pops up a window to prompt the specialist doctor to check, and when any specialist doctor clicks the consultation button, the system stops displaying the application to other specialist doctors, and at the same time initiates a registration and payment notification to the general practitioner assistant terminal.
[0015] When the registration and payment are completed, the specialist assistant terminal exchanges data with the specialist doctor's workstation and registers the patient at the specialist doctor's workstation. If it is a first visit, the patient information is created. If it is a follow-up visit, the outpatient registration is directly created using the patient's original information. The specialist doctor will prescribe an examination, test or prescription for the patient at the workstation.
[0016] In a possible implementation, an audio and video module is arranged in the general assistant end and the specialist assistant end; after the remote cooperative outpatient service starts, the general practitioner and the specialist communicate through the audio and video module in the assistant end. And the specialist assistant end synchronizes the single record of the specialist to the general assistant end through the cloud platform.
[0017] In a possible implementation, the administrator can perform business management, resource management and single dispatch management in the management end of the system. The business management includes configuring a business name and a business process corresponding to the business; the resource management includes management of hospital resources, department resources and doctor resources; the single dispatch management includes configuring a single dispatch algorithm, and the single dispatch algorithm includes a social network analysis and recommendation algorithm and a weighted collaborative filtering recommendation algorithm.
[0018] In a possible implementation, the cloud platform of the system connects an existing hospital system, collects data of the hospital system, and performs statistical analysis on the data, and shares the analysis result with a regional medical alliance platform.
[0019] In a possible implementation, the data center of the system stores patient clinical related data, including inspection, examination, image, electrocardiogram and ultrasound in the medical system, and interacts with the cloud platform; at the same time, the general assistant end stores and shares the medical record data of the patient in the cooperative process, the single record of the general practitioner, the single record of the specialist and the prescription information in the data center.
[0020] The present application has the following advantages: The present application provides a general-specialty cooperative outpatient service mode, which can meet the needs of different scenes of consultation, realizes a new mode of fast cooperative outpatient service between general practitioners of general hospitals and specialists of specialist hospitals, solves the problem of sinking of medical resources, supports patient medical insurance card deduction, remote medicine distribution and other services through the connection with the hospital HIS, and truly solves the reasonable allocation of medical resources, so that patients can make an appointment with a specialist without going to a general hospital. BRIEF DESCRIPTION OF DRAWINGS
[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and other embodiments can be obtained by those skilled in the art according to these drawings.
[0022] Figure 1 The general-specialty technical architecture diagram of the embodiment of the present application.
[0023] Figure 2 The general-specialty data interaction diagram of the embodiment of the present application. DETAILED DESCRIPTION
[0024] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art based on the present application belong to the scope of protection of the present application.
[0025] A cloud platform-based general-specialty collaboration assistant system provides a remote collaboration outpatient method for general hospitals and specialty hospitals, and deeply integrates online collaboration outpatient and offline outpatient work of doctors by closely combining a doctor workstation. A general practitioner of a general hospital can complete online registration, payment, and communication with a specialist through a general assistant terminal, and a specialist of a specialty hospital can complete reception, single opening (examination, inspection, prescription), and remote communication through a specialty assistant terminal.
[0026] The embodiments of the present application provide a cloud platform-based general-specialty collaboration assistant system, which includes a general assistant terminal, a specialty assistant terminal, a management terminal, a cloud platform, and a data center.
[0027] The general assistant terminal is arranged at a general practitioner workstation and is used to help the general practitioner assist patients, send an outpatient application to a specialist, including registration, payment, and outpatient diagnosis communication, and meanwhile, when a specialist is selected, a double recommendation algorithm is used to recommend a suitable specialist.
[0028] The general assistant terminal is bound to the general practitioner workstation account, logs in by automatically identifying the general practitioner workstation state, and synchronously manages the HIS system data of the general practitioner workstation. The general practitioner clicks an application button of the general assistant terminal on the doctor workstation to wake up the general assistant terminal, initiates a collaboration outpatient application using the general assistant terminal, and selects an application business on the general-specialty assistant application page provided by the general assistant terminal, including outpatient consultation, outpatient initial diagnosis, and outpatient follow-up visit. After the application business is determined and the patient's outpatient number is input, a specialist is selected through a double recommendation algorithm, which ensures quick selection of a suitable specialist and improves efficiency.
[0029] The double recommendation algorithm includes a hybrid recommendation algorithm and a hybrid recommendation algorithm. When the general practitioner selects a specialist department and does not specify a specialist, the system will automatically match a suitable idle doctor according to the hybrid recommendation algorithm. When the general practitioner specifies a specialist, the system will initiate an application call to the specialist through the specialty assistant terminal. If there is no response within a set time, the system will match a similar idle specialist according to the weighted collaborative filtering recommendation algorithm, and at the same time, ask the general practitioner whether to agree. If the general practitioner agrees, an application call is immediately initiated to the matched specialist. If the general practitioner disagrees, the application is ended.
[0030] The hybrid recommendation algorithm is implemented as follows: When the general practitioner selects the target department, the system takes the current diagnosis result of the patient and the disease type to which the patient belongs as the recommendation model A; takes the diseases at which the specialist is good at and the diagnosis history of the diseases as the recommendation model B; inputs A and B into the existing social network analysis and recommendation algorithm model to obtain the final specialist recommendation set C; the system matches multiple specialists of the specified department online at present, and initiates a medical treatment application to all the matched specialists at the same time.
[0031] The weighted collaborative filtering recommendation algorithm is implemented as follows: The weighted factors of the weighted collaborative filtering recommendation algorithm include department, good disease type, title and hospital level. According to the automatic weight distribution of these factors, the system filters and matches multiple online specialists similar to the doctor, and initiates a medical treatment application to all the matched specialists at the same time after the matching.
[0032] When the general practitioner initiates a collaborative outpatient application, the general assistant terminal obtains the patient information (including name, gender, age, outpatient number, etc.) and the outpatient record (including test record, examination record, outpatient information, medication record, etc.) of the patient in the HIS system data of the general practitioner workstation, and displays the information in the form of a time axis in reverse order on the specialist assistant terminal through the cloud platform. The time axis is displayed in the form of year, month and day (YYYY-MM-DD) for the specialist to check.
[0033] The specialist can check the application details, including patient information, general practitioner name, institution where the general practitioner is located and outpatient record of the patient, to decide whether to accept the treatment.
[0034] The specialist assistant terminal is arranged on the specialist workstation, and is used to help the specialist to perform remote outpatient work, including outpatient treatment, outpatient communication, outpatient diagnosis, examination and test order and medication order.
[0035] The specialist assistant terminal is automatically bound to the specialist workstation account, automatically logs in according to the specialist workstation login state, synchronously manages the HIS system data of the specialist workstation, and prompts the specialist to check when receiving the outpatient application call. When any specialist clicks the treatment button, the system stops displaying the application to other specialists, and at the same time initiates a registration and payment notice to the general assistant terminal. The payment notice content includes total cost, medical insurance deduction and self-payment amount. When self-payment is required, a payment QR code will be displayed.
[0036] When the general practitioner patient completes the registration and payment under the guidance of the doctor, the specialist assistant will exchange data with the specialist workstation and register the patient at the specialist workstation. If it is a first visit, the patient information will be created. If it is a follow-up visit, the original information will be used to create an outpatient registration. The specialist will prescribe an examination, test or prescription for the patient at the workstation.
[0037] In one possible implementation, the general practitioner assistant and specialist assistant terminals are equipped with audio and video modules. After the remote collaborative clinic begins, the general practitioner and specialist communicate via the assistant terminal's audio and video modules. During this process, after the specialist prescribes an examination, test, or prescription for the patient at the workstation, they also send a fee notification to the general practitioner assistant terminal. The general practitioner assistant terminal receives this notification, which includes the total cost, medical insurance deductions, and out-of-pocket expenses. When out-of-pocket payment is required, a payment QR code is displayed. The specialist assistant terminal also obtains data from the specialist workstation's HIS system and synchronizes the ordering records with the general practitioner assistant terminal, so that the general practitioner can also see the records issued by the specialist.
[0038] In one possible implementation, after a specialist issues a prescription, a pop-up window will appear on the GP Assistant app prompting patients to select a delivery method, including in-hospital pickup and express delivery (express delivery is the default). When selecting express delivery, patients are required to provide the recipient's contact information, address, and other information. The GP Assistant app periodically receives prescription logistics information and sends the patient a text message with the status, allowing the GP to check the status at any time.
[0039] In one possible implementation, after a specialist successfully sees a patient, the system automatically switches the specialist assistant's status to busy, temporarily stopping them from accepting further outpatient appointments. Once the consultation with the general practitioner is complete and the collaborative outpatient session is concluded, the system automatically switches the doctor's status back to available. The system also supports manual switching of specialist statuses, including available, busy, and offline.
[0040] The management end implements the basic configuration of other modules through background management, including business management, resource management, dispatch management, personnel account management, role authority management, statistical analysis and display, charging configuration management, message notification template management, medical record data set management, etc.
[0041] In one possible implementation, administrators can manage services, resources, and dispatch orders on the system's management side. Service management includes configuring service names and selecting the corresponding business processes; resource management includes managing hospital resources, department resources, and physician resources; and dispatch management includes configuring dispatch algorithms, such as prioritizing hospital grade, hospital distance, and expert title. Dispatching algorithms include social network analysis and recommendation algorithms and weighted collaborative filtering recommendation algorithms.
[0042] The cloud platform is used to realize data interaction between the general assistant terminal and the specialist assistant terminal, data collection from various hospitals, big data analysis and data transmission.
[0043] The system's cloud platform is connected to the existing hospital system and can collect data from the hospital system, including the general hospital HIS system, specialist hospital HIS system, specialist hospital charging system, etc., and will conduct statistical analysis on the data.
[0044] The cloud platform conducts statistical analysis of data, including disease classification, outpatient frequency and outpatient volume trends, and shares this information with the regional medical alliance platform.
[0045] The data center is used to store all relevant data in the full-time and professional collaboration process.
[0046] In one possible implementation, the system's data center stores the patient's clinical-related data, especially the tests, examinations, images, electrocardiograms, ultrasounds, etc. in the medical system, and interacts with the cloud platform for data. At the same time, the general practitioner assistant stores and shares the patient's medical records, general practitioner prescription records, specialist prescription records, and prescription IoT information during the collaboration process in the data center.
[0047] Example During the use of the system of the present invention, it is necessary to complete the scenario of remote collaborative outpatient clinics between community hospitals and central hospitals. The community hospital uses the general assistant terminal, and the central hospital uses the specialist assistant terminal.
[0048] First, as an administrator, you can perform business management, resource management, dispatch algorithm management, personnel account management, role authority management, statistical analysis, charging configuration management, message notification template management, and medical record data set management on the management side of the system, configure business names and corresponding business processes, and configure resource data such as institutions, departments, and user data, etc.
[0049] Then, install the general assistant terminal in the community hospital and the specialist assistant terminal in the central hospital.
[0050] The assistant terminal automatically binds to the doctor's workstation according to the configuration layer requirements and changes the assistant terminal status according to the status of the doctor's workstation.
[0051] When a doctor in a community hospital (i.e., a general practitioner) finds that a patient's condition is complicated and requires assistance from a specialist in a central hospital during his or her daily consultation, after obtaining the patient's consent, he or she can view the patient's medical records through the general practitioner workstation, click the collaborative outpatient application button, and jump to the general practitioner assistant terminal. The general practitioner assistant terminal will collect the patient's clinical data from the general practitioner workstation and synchronize it to the general practitioner assistant application page.
[0052] The general practitioner fills in the information of the registered hospital, department, doctor, etc. on the general practitioner assistant application page, selects a specialist from the central hospital through a dual recommendation algorithm, displays the application details on the specialist assistant end through the cloud platform, and waits for the specialist to see the patient.
[0053] When an outpatient application is received, the specialist assistant terminal will immediately pop up a prompt.
[0054] The specialist doctor at the central hospital clicks to view the application list. If he agrees, he clicks the acceptance button to initiate a registration and payment notification to the general practitioner assistant terminal of the community hospital.
[0055] The general practitioner assistant terminal sends a fee reminder to the general practitioner and displays the fee deduction details for the patient to confirm. If the patient agrees with the charges, he / she will make the payment. After the payment is successful, the central hospital will register the patient at the specialist workstation and enter the outpatient busy state. At this time, the specialist at the central hospital will stop accepting other applications.
[0056] After the remote collaborative clinic begins, general practitioners and specialists communicate in detail through the audio and video module set up on the assistant side (the audio and video module in the system involves audio and video communication scenarios, assisting doctors to achieve barrier-free online communication and achieve an immersive face-to-face communication effect), such as inquiring about the patient's current condition and examination and test results.
[0057] Specialists can view the patient's medical history and registration status on the specialist workstation and, based on the patient's condition, prescribe prescriptions or order examinations and tests. The examinations, tests, and prescriptions issued by the specialist are synchronized to the general practitioner assistant.
[0058] The general practitioner reminds the patient to pay for the examination, test and prescription, and the system will display the fee details and the QR code for the patient to pay.
[0059] After successful payment, if a prescription is issued, the GP Assistant app will prompt the patient to choose between mail delivery or in-person pickup. If mail delivery is required, the patient must provide their address and delivery information. The GP Assistant app will continuously receive medication delivery status, alerting the GP to check and sending SMS notifications to the patient regarding logistics.
[0060] The specialist doctor of the central hospital clicks to end the outpatient clinic on the specialist assistant terminal, and the outpatient clinic ends and enters the idle state, and the specialist doctor can continue to see patients.
[0061] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.
[0062] Each embodiment in this specification is described in a related manner. Each embodiment focuses on the differences from other embodiments, and the same or similar parts between the embodiments can be referenced to each other.
[0063] The above description is only a preferred embodiment of the present application and is not intended to limit the scope of protection of the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application are included in the scope of protection of the present application.
Claims
1. A cloud-based collaborative assistant system, characterized by: Including general assistant terminal, specialist assistant terminal, management terminal, cloud platform and data center: The general practitioner assistant terminal is set up in the general practitioner workstation to help the general practitioner assist patients and send outpatient applications to specialists. At the same time, when selecting specialists, a dual recommendation algorithm is used to recommend suitable specialists; The specialist assistant terminal is set at the specialist doctor's workstation to help the specialist doctor perform remote outpatient work; The management end implements basic configuration of other modules through background management; The cloud platform is used to realize data interaction between the general assistant terminal and the specialist assistant terminal, data collection from various hospitals, big data analysis and data transmission; The data center is used to store all relevant data in the full-time and professional collaboration process.
2. The cloud-based collaborative assistant system according to claim 1, characterized in that: The general practitioner assistant terminal is bound to the general practitioner workstation account, logs in by automatically identifying the general practitioner workstation status, and synchronously manages the general practitioner workstation HIS system data; the general practitioner uses the general practitioner assistant terminal to initiate a collaborative outpatient application and select the application service; after confirming the application service and entering the patient's outpatient number, a specialist is selected through a double recommendation algorithm.
3. The cloud-based collaborative assistant system according to claim 2, characterized in that: The dual recommendation algorithm includes a hybrid recommendation algorithm and a mixed recommendation algorithm; when the general practitioner chooses a specialist department and does not specify a specialist, the system will automatically match a suitable doctor according to the hybrid recommendation algorithm; when the general practitioner specifies a specialist, the system will initiate an application call to the specialist through the specialist assistant end. If there is no response within the set time, the system will match similar specialists according to the weighted collaborative filtering recommendation algorithm, and ask the general practitioner whether he agrees. If he agrees, he will immediately initiate an application call to the matched specialist, otherwise the application will end; when the general practitioner initiates a collaborative outpatient application, the general practitioner assistant end will display the application details including patient information, general practitioner name, general practitioner's institution and patient's outpatient records to the specialist through the cloud platform on the specialist assistant end.
4. The cloud-based collaborative assistant system according to claim 3, characterized in that: The hybrid recommendation algorithm is specifically implemented as follows: After the general practitioner selects the target department, the system uses the patient's current diagnosis results and the patient's disease type as recommendation model A; selects the diseases that the specialist is good at and the specialist's diagnosis history as recommendation model B. The combination of A and B is input into the existing social network analysis and recommendation algorithm model to obtain the final specialist recommendation set C. The system will match multiple specialists in the designated department who are currently online, and simultaneously initiate consultation applications to all matched specialists.
5. The cloud-based collaborative assistant system according to claim 3, characterized in that: The weighted collaborative filtering recommendation algorithm is implemented as follows: The weighted factors of the weighted collaborative filtering recommendation algorithm include department, disease expertise, professional title and hospital level. Based on the automatic weight allocation of these factors, the system will filter and match multiple online specialists similar to the doctor online. After the matching is completed, a consultation request call will be initiated to all matched specialists at the same time.
6. A cloud-based full-time professional collaboration assistant system according to any one of claims 1 to 5, characterized in that: The specialist assistant terminal automatically binds to the specialist workstation account, automatically logs in according to the specialist workstation login status, and synchronously manages the specialist workstation HIS system data; when receiving an outpatient application call, the specialist assistant terminal pops up a window to prompt the specialist to check. When any specialist clicks the consultation button, the system stops showing the application to other specialists and simultaneously sends a registration and payment notification to the general practitioner assistant terminal; When the registration and payment are completed, the specialist assistant terminal exchanges data with the specialist doctor's workstation and registers the patient at the specialist doctor's workstation. If it is a first visit, the patient information is created. If it is a follow-up visit, the outpatient registration is directly created using the patient's original information. The specialist doctor will prescribe an examination, test or prescription for the patient at the workstation.
7. The cloud-based collaborative assistant system according to claim 6, characterized in that: The general practitioner assistant terminal and the specialist assistant terminal are equipped with audio and video modules; after the remote collaborative clinic begins, the general practitioner and the specialist doctor communicate through the audio and video modules in the assistant terminal; and the specialist assistant terminal synchronizes the specialist doctor's prescription records to the general practitioner assistant terminal through the cloud platform.
8. The cloud-based collaborative assistant system according to claim 1, characterized in that: Administrators can perform business management, resource management, and order management on the management side of the system; business management includes configuring the business name and the business process corresponding to the business; resource management includes the management of hospital resources, department resources, and doctor resources; order management includes configuring the order dispatch algorithm, which includes a social network analysis and recommendation algorithm and a weighted collaborative filtering recommendation algorithm.
9. The cloud-based collaborative assistant system according to claim 1, characterized in that: The system's cloud platform connects to the existing hospital system, collects data from the hospital system, performs statistical analysis on the data, and shares the analysis results with the regional medical alliance platform.
10. The cloud platform-based full-time and professional collaboration assistant system according to claim 1, characterized in that: The system's data center stores patients' clinical-related data, including tests, examinations, images, electrocardiograms, and ultrasounds in the medical system, and interacts with the cloud platform for data exchange. At the same time, the general practitioner assistant stores and shares the patient's medical records, general practitioner prescription records, specialist prescription records, and prescription IoT information during the collaboration process in the data center.