CN116759066A - Management system and method for mobile medical treatment, storage medium and electronic equipment - Google Patents

Abstract

The invention discloses a management system, a method, a storage medium and electronic equipment for mobile medical treatment, wherein the system comprises: the system comprises a login management module, a mobile coordination module, a medical information management module and a visual management module which are in communication connection, wherein the login management module is used for recording and managing personal information of medical staff and patients, and the mobile coordination module is used for helping to complete the display of corresponding to-be-completed items according to the current user identity and identifying and recording the inquiry condition between the medical staff and the patients; the medical information management module is used for extracting and sending key information in the inquiry condition, the visual management module is used for receiving the key information in the medical information management module, generating and displaying inquiry results according to different user identities in a classified mode, flexibility and rapidness of the mobile inquiry system are achieved, medical staff can acquire information such as medical records, inspection and examination results more accurately and rapidly, and diagnosis decision is timely made and corresponding treatment measures are taken.

Description

A mobile medical management system, method, storage medium and electronic device

Technical field

The invention belongs to the field of mobile medical technology, and in particular is a mobile medical management system, method, storage medium and electronic equipment.

Background technique

In today's society, the Internet has become an indispensable part of everyone's daily life. Especially in recent years, with the advancement of informatization construction in major hospitals, mobile medical systems are expected to become a trend in the informatization development of medical institutions in the future.

Most of the traditional medical management systems are developed based on Personal Computer (PC), and each patient's medical record, medical history, insurance status, etc. need to be manually entered every time. Doctors in the hospital use PCs to assist in treating patients and Prescribing medication makes the operation cumbersome, and a slight oversight can lead to inaccurate information, resulting in a poor experience for both doctors and patients. With the rapid development of hospital informatization, mobile medical technology has become one of the important components of modern hospital informatization construction. How to use the mobility, flexibility, and speed of wireless networks and portable smart terminals to enable medical staff to obtain medical records, inspection results and other information more accurately and quickly, and to make timely decisions and take measures, has become an urgent problem to be solved. .

Contents of the invention

The purpose of the present invention is to provide a mobile medical management system, method, storage medium and electronic equipment to solve the deficiencies in the existing technology. It utilizes mobile medical technology to achieve the flexibility, speed and convenience of a mobile consultation system. Medical staff can obtain medical records, test results and other information more accurately and quickly, make timely diagnostic decisions and take corresponding treatment measures.

One embodiment of the present application provides a mobile medical management system, which includes:

Communication connection login management module, mobile collaboration module, medical information management module and visual management module, among which,

The login management module is used to record and manage the personal information of medical staff and patients. The personal information includes the situation introduction of medical staff and patients and the information to be completed corresponding to the identity display of the current user;

The mobile collaboration module is used to assist in completing the tasks to be completed corresponding to the current user identity display and to identify and record the consultation situation between medical staff and patients;

The medical information management module is used to extract and send key information in the consultation situation. The key information includes condition description, diagnosis and treatment methods, items to be inspected, and multiple inspection parameters corresponding to the items to be inspected one-to-one;

The visual management module is used to receive the key information in the medical information management module, generate and display the consultation results according to different user identities.

Optionally, the system also includes:

The data encryption module is used to encrypt and transmit the data information obtained by each module based on the data transmission path of mobile collaborative consultation and the data access scope of each module until the transmission path of mobile medical data is traversed, recording and storing the current Consultation results.

Optionally, the system also includes:

The monitoring module is used to monitor the operation of the real-time mobile medical management system, generate operation monitoring data, and perform operation analysis. When there is abnormal system operation, it generates and feeds back early warning signals.

Optional, the login management module includes:

Medical staff management unit, patient management unit and matter reminder unit, among which,

The medical staff management unit is used for verification and login of medical staff, to realize editing and management of patients' electronic medical records using electronic medical records, and to synchronously update the edited electronic medical records;

The patient management unit is used to verify and log in patients, identify patients' medical treatment scenes, match corresponding medical personnel, and collect patient symptom data and imaging information at the same time;

The item reminder unit is used to display corresponding to-do items according to the identity of the current user, and to receive modifications to the status of the user's to-do items.

Optionally, the mobile collaboration module includes:

Consultation information storage unit, intelligent identification unit and auxiliary diagnosis unit, among which,

The consultation information storage unit is used to store a medical disease information database, a simple vocabulary database corresponding to the medical disease information, and the patient's past medical history;

The intelligent recognition unit is used to identify professional medical terms described by doctors after consulting patients, and convert them into popular terms and send them to patients for review;

The auxiliary diagnosis and treatment unit is used to intelligently identify the key information in the patient's consultation situation, automatically detect the patient's image information, and provide auxiliary diagnosis suggestions based on the key information in the consultation situation and the lesions in the image information and send them to the medical staff for management unit.

Optionally, the medical information management module includes:

Consultation data mapping unit, feature analysis fusion unit and credibility calculation and classification unit, among which,

The consultation data mapping unit is used to map abnormal consultation data with corresponding items to be examined, and obtain consultation data mapping results;

The feature analysis and fusion unit is used to perform feature analysis based on the consultation data mapping results, obtain abnormal sub-data corresponding to the abnormal consultation data, and perform data fusion on the abnormal sub-data to obtain fused data;

The credibility calculation and grading unit is used to perform credibility calculations on the fused data, obtain the credibility calculation results, perform grading on the credibility calculation results, and open the corresponding grading results according to the corresponding grading results. Diagnosis, treatment and examination mode.

Optional, the visual management module includes:

Format integration unit and classification display unit, among which,

The format integration unit is used to integrate the attributes of key information and construct corresponding consultation data display methods based on different user identities;

The classification display unit is used to import the consultation data into a neural network model for learning and evaluate the consultation data through the neural network model. According to the score evaluation, the consultation data that meets the conditions are classified into categories. Provide visual display between different users.

One embodiment of the present application provides a mobile medical management method, which method includes:

Obtain instructions for collaborative consultation created by users and generate a collaborative consultation interface between users, where the users include medical staff and patients;

In response to the operation of extracting key consultation information in the collaborative consultation interface, and identifying and recording the consultation situation between the medical staff and the patient;

Receive and manage the consultation situation, generate and display the consultation results according to different user identities. Yet another embodiment of the present application provides a storage medium in which a computer program is stored, wherein the computer program is configured to execute the above-mentioned method when running.

Yet another embodiment of the present application provides an electronic device, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to run the computer program to perform the above-mentioned method.

Compared with the existing technology, the mobile medical management system disclosed by the present invention includes a communication-connected login management module, a mobile collaboration module, a medical information management module and a visual management module. The login management module is used to record and manage the information of medical staff and patients. Personal information, the mobile collaboration module is used to assist in completing the tasks to be completed corresponding to the current user identity display and identify and record the consultation situation between medical staff and patients; the medical information management module is used to extract and send key information in the consultation situation, and visualize it The management module is used to receive the key information in the medical information management module, generate and display the consultation results according to different user identities. It uses mobile medical technology to realize the flexibility and speed of the mobile consultation system and facilitate medical care. Personnel can obtain medical records, test results and other information more accurately and quickly, make timely diagnostic decisions and take corresponding treatment measures.

Description of the drawings

Figure 1 is a schematic structural diagram of the framework of a mobile medical management system provided by an embodiment of the present invention;

Figure 2 is a schematic structural diagram of another mobile medical management system provided by an embodiment of the present invention;

Figure 3 is a schematic structural diagram of the framework structure of yet another mobile medical management system provided by an embodiment of the present invention;

Figure 4 is a hardware structure block diagram of a computer terminal of a mobile medical management method provided by an embodiment of the present invention;

Figure 5 is a schematic flowchart of a mobile medical management method provided by an embodiment of the present invention.

Detailed ways

The embodiments described below with reference to the drawings are exemplary and are only used to explain the present invention and cannot be construed as limiting the present invention.

It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values set forth in these examples do not limit the scope of the invention unless otherwise specifically stated.

The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application or uses.

Techniques, methods and devices known to those of ordinary skill in the relevant art may not be discussed in detail, but where appropriate, such techniques, methods and devices should be considered a part of the specification.

In all examples shown and discussed herein, any specific values are to be construed as illustrative only and not as limiting. Accordingly, other examples of the exemplary embodiments may have different values.

It should be noted that similar reference numerals and letters refer to similar items in the following figures, so that once an item is defined in one figure, it does not need further discussion in subsequent figures.

Referring to Figure 1, Figure 1 is a schematic structural diagram of a mobile medical management system provided by an embodiment of the present invention. The mobile medical management system 100 can be applied to intelligent terminals, such as computer equipment or mobile terminals. The system may include: a communication-connected login management module 101, a mobile collaboration module 102, a medical information management module 103, and a visual management module 104. The login management module 101 is used to record and manage the personal information of medical staff and patients, so The personal information includes the introduction of the medical staff and patients and the information about the to-be-completed items corresponding to the current user's identity display; the mobile collaboration module 102 is used to assist in completing the to-be-completed items corresponding to the current user's identity display and identify and record the medical personnel and patients. The medical information management module 103 is used to extract and send key information in the consultation situation. The key information includes condition description, diagnosis and treatment methods, items to be checked and one-to-one correspondence with the items to be checked. Multiple test parameters; the visual management module 104 is used to receive the key information in the medical information management module, generate and display the consultation results according to different user identities.

In an optional implementation, the mobile medical management system may also include an intelligent diagnosis and treatment module, in which the control module of the intelligent diagnosis and treatment module can interface with the expert system of the hospital's network data management platform and the disease treatment plan given by the consulting doctor. , and automatically converted into treatment parameters of the corresponding treatment module. The disease management unit of the intelligent diagnosis and treatment module includes input and display functions through the human-machine dialogue operation unit, which allows patients or family members to enter information and at the same time perform patients or family members to confirm treatment plans and parameters. The management system based on mobile medical care can use mobile phones as human-machine dialogue operation units and information transmission media. By installing specific disease management APPs on mobile phones as application data information programs, forms and information can be filled in directly on the mobile phones, using the mobile phone itself. Functions for voice conversations, video calls, video recording and other operations.

For example, the intelligent diagnosis and treatment module can be used to receive medical order information, and receive the medical order information uploaded by the doctor, the disease type corresponding to the medical order information, and the doctor's account information through the doctor's terminal of the medical order platform; wherein, the medical order platform is equipped with a doctor client and a patient client On the terminal, a registered doctor or patient logs in to the above-mentioned medical order platform through registration information. The form of the above-mentioned medical order information includes one or more of audio, video, picture and text; then the medical order information, disease type and doctor’s account information are Bind and save to the database of the medical order platform; then search for the patient's account information corresponding to the doctor from the pre-stored correspondence between doctors and patients on the medical order platform; where the patient's account information includes the patient ID and the patient's disease type ; Finally, according to the patient's account information, the medical order information bound to the disease type and the doctor's account information is pushed to the client of the patient or the patient's family through the medical order platform.

Specifically, the login management module 101 may include: a medical staff management unit, a patient management unit, and an event reminder unit, wherein the medical staff management unit is used for verification login of medical staff to implement electronic monitoring of patients using electronic medical records. Medical records are edited and managed, and the edited electronic medical records are updated synchronously; the patient management unit is used to verify and log in the patient and identify the patient's medical treatment scene, match the corresponding medical staff, and collect the patient's symptom data and images at the same time Information; the item reminder unit is used to display corresponding to-do items according to the identity of the current user, and to receive modifications to the status of the user's to-do items.

For example, first, the patient makes an appointment and fills in the information through the patient management unit. The patient management unit identifies the patient's medical treatment scene and matches the patient with the corresponding doctor. The doctor logs in through the medical staff management unit and verifies the doctor's identity through the doctor identity verification program. , enter the mobile medical system after passing the identity verification. The patient management unit can collect the patient's symptom data and image information through the wearable device and transmit it to the reminder unit. The patient enters the mobile medical system by filling in the information for appointment registration through the patient management unit. The patient management unit identifies the patient's medical treatment scenario through the registration information. The medical treatment scenario includes the first visit and follow-up consultation, and matches the corresponding doctor for the patient based on the registration information and treatment scenario; Doctors fill in their identity information through the medical staff management unit to log in to the mobile medical system. Doctor identity verification in mobile diagnosis and treatment supervision can use zero-trust technology to verify the identity information. After verification, login is allowed. The identity information includes the hospital and department, professional qualifications, and practice. Age and facial features, etc.

It should be noted that the to-do items in the item reminder unit include item status, item content, processing user, deadline, etc. The item reminder unit also includes a storage sub-unit for creating data storage for each to-do item, receiving the item data uploaded by the to-do item processing user, storing the item data in the corresponding storage sub-unit, and processing it according to the to-do item The user's adjustment instruction modifies or deletes the specified item data in the corresponding storage subunit.

Specifically, the mobile collaboration module 102 may include: a consultation information storage unit, an intelligent identification unit and an auxiliary diagnosis unit, where the consultation information storage unit is used to store a medical disease information database and a simple database corresponding to the medical disease information. The vocabulary library and the patient's past medical history; the intelligent recognition unit is used to identify the professional medical terms described by the doctor after the patient's consultation, and convert them into popular terms and send them to the patient for review; the auxiliary diagnosis and treatment unit is used to intelligently identify the patient's consultation The key information in the situation is automatically detected, and the patient's imaging information is automatically detected, and auxiliary diagnosis suggestions are provided based on the key information in the consultation situation and the lesions in the imaging information and sent to the medical staff management unit.

For example, artificial intelligence is used to assist in acquiring the transmitted patient symptom data and imaging information, intelligently identify key symptom factors in the patient's symptom data, automatically detect lesions in the patient's imaging information, and then provide auxiliary diagnostic suggestions. Doctors access auxiliary diagnosis to obtain medical data through the medical staff management unit, conduct remote diagnosis and treatment of patients, and determine the disease based on auxiliary diagnosis suggestions provided by artificial intelligence. Artificial intelligence assists in intelligently identifying professional medical terms in the medical prescriptions issued by doctors, converting them into simple terms that patients can understand, and allows patients to answer questions during the medical process through voice, text or video consultation.

It should be noted that the auxiliary diagnosis and treatment unit can be a medical image archiving and transmission system, an image information management system, etc., and the patient image information can be text report data and structured report data. Among them, when obtaining patient medical image data from the system, Extract and save medical imaging data in manual input form or through other systems. The extracted medical imaging data can be based on the medical imaging data, determine the patient's examination type and examination items, find the single disease that matches the medical imaging data, artificial intelligence-assisted diagnosis, and automatically generate the matching single disease from the medical imaging data. artificial intelligence-assisted diagnosis results.

Specifically, the medical information management module 103 may include: a consultation data mapping unit, a feature analysis fusion unit, and a credibility calculation and grading unit, wherein the consultation data mapping unit is used to convert abnormal consultation data into Mapping with the corresponding items to be checked to obtain the consultation data mapping results; the feature analysis and fusion unit is used to perform feature analysis based on the consultation data mapping results, obtain abnormal sub-data corresponding to the abnormal consultation data, and convert the abnormal The sub-data performs data fusion to obtain the fused data; the credibility calculation and grading unit is used to perform credibility calculations on the fused data, obtain the credibility calculation results, and perform calculations on the credibility calculation results. Classification: start the corresponding diagnosis, treatment and examination mode according to the corresponding classification results.

For example, when the abnormal consultation data and abnormal sub-data are fused through data mapping, a vertical decision matrix is used to calculate the decision correlation, and the probability that the data can be successfully fused is judged based on the calculation result of the decision correlation. Extract the abnormal consultation data from the patient's test results, and map the abnormal consultation data with the abnormal sub-data. When making a diagnosis, the two need to be fused. Whether it meets the fusion standards is done using a vertical decision matrix based on decision samples. For decision-making, when the decision-making calculation results are normalized, the behavioral information of the decision-making can be obtained. When the decision-making information shows that it meets the conditions, the two types of decisions are fused. Finally, the convergence factor is updated according to the matrix corresponding to each sub-item in the initial credibility matrix, and the final convergence value of the credibility matrix represents the result of disease diagnosis. The credibility of mobile medical diagnosis is improved through the above steps.

In one or more embodiments, the medical information management module may also determine whether there is a result report of the same type as the disease diagnosis result report and belonging to the user's target disease diagnosis within the previous first preset time period. If If there is a result report of the same type as the result report of disease diagnosis and belongs to the user's target disease diagnosis, the medical information management module can be based on each test parameter in the result report of target disease diagnosis and each item in the result report of target disease diagnosis. The test parameters determine the user's test parameter change information so that the medical staff of the medical information management module can analyze the user's recovery situation with reference to the user's test parameter change information. In this way, the changes in various test parameters in the user's disease diagnosis result report can be determined based on the user's previous medical test reports, which facilitates the medical staff of the medical information management module to analyze the user's recovery situation.

Specifically, the visual management module 104 may include: a format integration unit and a classification display unit, where the format integration unit is used to integrate attributes of key information and construct corresponding consultation data display methods based on different user identities; The classification display unit is used to import the consultation data into a neural network model for learning and evaluate the consultation data through the neural network model. According to the score evaluation, the consultation data that meets the conditions are classified into categories. Provide visual display between different users.

In an optional implementation, refer to Figure 2, which is a schematic structural diagram of another mobile medical management system provided by an embodiment of the present invention. The system may also include: a data encryption module 105 for The data transmission path of mobile collaborative consultation and the data access scope of each module encrypt and transmit the data information obtained by each module until the mobile medical data transmission path is traversed, and the current consultation results are recorded and stored.

Exemplarily, the data information of each module being called in the system is obtained, and the calling data packet is generated and temporarily recorded and stored. The data encryption module interacts with each module, and the data encryption module obtains the calling data packet. , perform homomorphic encryption on the retrieved data packet, obtain the encrypted data packet, and generate specific encrypted ciphertext at the same time; after each module in the data transmission path interacts with the data encryption module, the encrypted ciphertext is processed twice Process and generate re-encrypted ciphertext; perform data redundancy compression based on the re-encrypted ciphertext and encrypted data packets to obtain the data compression package, and generate acquisition instructions at the same time; finally transmit the acquisition instructions, record the response time information, and homomorphic encryption information, and obtain the transmission and retrieval timeliness information of the data compression package, generate traceability integration information, and perform transmission feedback to complete the encrypted transmission of the data information obtained by each module.

In an optional implementation, the working mode of the data encryption module may also be: first package and obtain the information to be transmitted based on the data of the mobile collaborative consultation situation. According to the information acquisition time of the information to be transmitted and the data type of the information to be transmitted, the corresponding first encryption algorithm is matched; through the first encryption algorithm, a first encrypted ciphertext corresponding to the information to be transmitted is generated; information based on the first encrypted ciphertext The length matches the second encryption algorithm, and according to the second encryption algorithm, the first encrypted ciphertext is encrypted to obtain the second encrypted ciphertext; then the second encrypted ciphertext is data compressed, and the compressed second encrypted ciphertext is The ciphertext is added to the transmission path of the mobile medical data, and the transmission path of the mobile medical data added with the second encrypted ciphertext is transmitted to the mobile medical management system.

Alternatively, the data encryption module performs an encryption operation on the patient's face. For example, it first generates face projection encrypted data corresponding to each patient's characteristic face and sends it to the data encryption module, and generates multiplied encrypted data corresponding to each patient's facial feature and sends it to the data encryption module. The data encryption module sends the data encryption module to convert the multiplied encrypted data corresponding to each patient's facial features into equivalent ciphertext, and then converts the equivalent ciphertext according to the principle of the homomorphic encryption algorithm and the principle of the fully homomorphic encryption algorithm. It is the fully homomorphic encrypted ciphertext containing the recognition result of the patient's face logo.

In an optional implementation, see Figure 3, which is a schematic structural diagram of the framework of yet another mobile medical management system provided by an embodiment of the present invention. The system may also include: a monitoring module 106 for performing real-time The operation monitoring of the mobile medical management system generates operation monitoring data and performs operation analysis. When there is abnormal system operation, an early warning signal is generated and fed back.

Exemplarily, the monitoring module 106 retrieves the corresponding historical record data according to the early warning signal, determines multiple early warning signals, and performs early warning to obtain the early warning data; during repair monitoring and monitoring timing, if it cannot be performed within the preset standard time period, Complete abnormality repair, generate collaboration signals, determine collaboration personnel and collaboration addresses; send early warning data to the collaboration address, receive feedback information, and perform collaborative processing. If the repair still cannot be completed, the early warning data is sent to the backup coordination address, another feedback information is received, and coordination processing is performed again. When the repair cannot be completed, emergency processing information is sent to the backup coordination address. After the system receives the request for emergency processing information, it determines the emergency level corresponding to the requested information based on the request information, determines the level to be transferred and the person in charge of the target processing node of each level to be transferred based on the monitoring transfer strategy corresponding to the emergency level, and determines the level to be transferred and the person in charge of the target processing node of each level to be transferred based on the level to be transferred and the The person in charge of the target processing node determines the target circulation path, in which different emergency levels correspond to different monitoring circulation strategies; the request information is sent to the person in charge of each target processing node according to the target circulation path, so that the person in charge of each target processing node quickly responds to the request information to complete the processing of emergency processing information.

In an optional implementation, the mobile medical management system of the present application can also connect to the general business management platform through a portable terminal (APP or Internet) through a wireless network, 5G or local area network, and the general business management platform is the portable terminal. (APP or Internet) provides business management services. When a doctor brings a portable terminal to the clinic for treatment or when the doctor receives an order on an APP or the Internet, it is like carrying a mobile doctor workstation with him. The portable terminal or APP can complete the reading of the patient's magnetic card or IC card or QR code. , obtain the patient's basic personal health information and medical insurance information from the business management platform through a mobile smart device, and at the same time write the outpatient time, issued prescription or input sampling information to the main platform, calculate the medical expenses, and use the printing module to output the expense list on site, and at the same time The system can also be connected to a third-party order dispatching platform to realize the delivery function of medicines or diagnostic reports, etc., which can improve the work efficiency of doctors when visiting patients and provide convenience for patients to enjoy medical insurance.

In another optional implementation, the patient also makes an appointment and fills in the information through the patient terminal. The patient terminal identifies the patient's medical treatment scene and matches the patient with the corresponding doctor. The doctor logs in through the doctor terminal, and the doctor identity verification unit verifies The doctor's identity will be entered into the Internet remote system after passing the identity verification; the patient can collect the patient's symptom data and image information through the wearable device and transmit it to the medical data storage unit, and use artificial intelligence or neural network modules to assist in obtaining the transmitted patient symptoms. Data and imaging information, intelligently identify key symptom factors in patient symptom data, automatically detect lesions in patient imaging information, and then provide auxiliary diagnostic suggestions; doctors access the medical data unit through the doctor terminal to obtain medical data and conduct remote diagnosis and treatment of patients. , and combined with the auxiliary diagnostic suggestions provided by the artificial intelligence or neural network module to determine the disease; the artificial intelligence or neural network module intelligently identifies the professional medical terms in the medical prescriptions issued by the doctor and converts them into common terms understood by the patient.

Among them, the intelligent identification of key symptom factors in patient symptom data may include: the medical terminal performs quantitative processing on multiple test parameters in the medical test report to obtain the first multi-dimensional vector corresponding to the medical test report, which may, but is not limited to, include the following Steps: First, the medical terminal performs quantitative processing on multiple test parameters in the medical test report; secondly, the medical terminal normalizes the multiple test parameters after quantification to obtain the first multi-dimensional corresponding to the medical test report. vector; then when performing normalization processing, the medical terminal can normalize the processed multiple test parameters according to the preset quantitative processing method; finally, the medical terminal performs history corresponding to at least two types of diagnosis results In the medical examination report, multiple historical examination parameters corresponding to the multiple examination parameters are quantified to obtain the second multi-dimensional vector corresponding to the historical medical examination report, and the key symptom factors in the patient's symptom data are intelligently obtained.

It can be seen that the mobile medical management system disclosed in the present invention includes a communication-connected login management module, a mobile collaboration module, a medical information management module and a visual management module. The login management module is used to record and manage the personal information of medical staff and patients. The mobile collaboration module The module is used to assist in completing the tasks to be completed corresponding to the current user identity display and to identify and record the consultation situation between medical staff and patients; the medical information management module is used to extract and send key information in the consultation situation, and the visual management module is used to receive The key information in the medical information management module generates and displays consultation results according to different user identities. It uses mobile medical technology to realize the flexibility and speed of the mobile consultation system, making it easier for medical staff to be more accurate and Obtain medical records, test results and other information more quickly, make timely diagnostic decisions and take corresponding treatment measures.

Embodiments of the present invention also provide a mobile medical management method, which can be applied to electronic devices, such as computer terminals, specifically ordinary computers, quantum computers, etc.

The following is a detailed description taking running on a computer terminal as an example. Figure 4 is a hardware structure block diagram of a computer terminal of a mobile medical management method provided by an embodiment of the present invention. As shown in Figure 4, the computer terminal may include one or more (only one is shown in Figure 4) processors 402 (the processor 402 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA) and a memory 404 for storing data. Optionally, the above-mentioned computer terminal may also include a transmission device 406 for communication functions and an input and output device 408. Persons of ordinary skill in the art can understand that the structure shown in FIG. 4 is only illustrative, and it does not limit the structure of the above-mentioned computer terminal. For example, the computer terminal may also include more or fewer components than shown in Figure 4, or have a different configuration than that shown in Figure 4.

The memory 404 can be used to store software programs and modules of application software, such as program instructions/modules corresponding to the mobile medical management method in the embodiment of the present application. The processor 402 executes the software programs and modules stored in the memory 404 by running them. Various functional applications and data processing implement the above methods. Memory 404 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 404 may further include memory located remotely relative to the processor 402, and these remote memories may be connected to the computer terminal through a network. Examples of the above-mentioned networks include but are not limited to the Internet, intranets, local area networks, mobile communication networks and combinations thereof.

Transmission device 406 is used to receive or send data via a network. Specific examples of the above-mentioned network may include a wireless network provided by a communication provider of the computer terminal. In one example, the transmission device 406 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station to communicate with the Internet. In one example, the transmission device 406 may be a radio frequency (Radio Frequency, RF) module, which is used to communicate with the Internet wirelessly.

Referring to Figure 5, Figure 5 is a schematic flowchart of a mobile medical management method provided by an embodiment of the present invention, which may include the following steps:

S501: Obtain the collaborative consultation instructions created by the user, and generate a collaborative consultation interface between users, where the users include medical staff and patients.

S502: Respond to the operation of extracting key consultation information in the collaborative consultation interface, and identify and record the consultation situation between medical staff and patients.

S503: Receive and manage the consultation situation, generate and display the consultation results according to different user identities.

Specifically, when the user needs to consult the mobile medical system, the user can open the application for the mobile medical system on the terminal and initiate a consultation request, and input the consultation information according to the prompts of the application, where the consultation information can It can be voice information or text information. If the consultation information is voice information, the voice information can be converted into text information. After the user inputs the relevant consultation information through the application, he can submit the consultation information and initiate a question. After receiving the consultation request from the user, the terminal parses the request to obtain the consultation information carried in the request. The request may include relevant consultation information or the storage path of the relevant consultation information. That is to say, the consultation information can be input by the user when submitting the consultation request, or it can be obtained by the application from the address specified in the request after the user submits the consultation request. Since the user may input a large amount of consultation information that is irrelevant to the consultation content during the consultation process, it is necessary to extract key information from the consultation information input by the user, and assign department information to the user based on the key information. For example, perform a word segmentation operation on the consultation text corresponding to the consultation information, calculate the word frequency of each segmentation in the consultation text, calculate the weight value and occurrence frequency value of each segmentation based on the word frequency, and combine the weight value and frequency value of each segmentation Select a first preset number of key information of preset parts of speech. Multiple keywords corresponding to the key information are vectorized and spliced into a feature sequence, and the feature sequence is input into a pre-trained department identification model to obtain department information. The department identification model can be obtained based on the BERT pre-trained model. Multiple keywords and department information corresponding to the key information are vectorized and spliced to obtain a feature sequence. The feature sequence is input into the template matching model to obtain multiple initial matching templates. Among them, the multiple initial matching templates include the corresponding templates. predicted probability. It should be noted that the template can be a pre-configured dialogue template (for example, multiple sets of dialogue templates are pre-configured based on the diagnostic experience of multiple doctors). Through the dialogue template, a series of questions can be asked to the patients being consulted, so that more accurate information can be obtained to the user’s consultation information.

After asking patients or doctors a series of questions in the collaborative consultation interface, the answered consultation information can be obtained, and inputting the consultation information into the pre-trained consultation auxiliary model can obtain multiple initial diagnosis results. Among them, the questions The diagnostic auxiliary model can also be trained based on the BERT model. After finally obtaining multiple initial diagnosis results, the multiple initial diagnosis results are fed back to the preset terminal. The preset terminal may refer to the terminal used by the doctor, and the doctor can select the final diagnosis result based on the multiple initial diagnosis results. After receiving the target diagnosis result selected by the preset terminal based on multiple diagnosis results, the target diagnosis result, consultation information, department information and target dialogue information are vectorized and spliced to obtain the feature sequence and input into the consultation result model to obtain the consultation result, and Displayed according to different user identities.

Compared with the existing technology, the present invention first obtains instructions for collaborative consultation created by users, generates a collaborative consultation interface between users, responds to the operation of extracting key consultation information in the collaborative consultation interface, and identifies and records medical personnel Consultations with patients, receive and manage the consultations, generate and display consultation results according to different user identities, it uses mobile medical technology to achieve the flexibility and speed of the mobile consultation system, making it convenient for medical staff Information such as medical records and test results can be obtained more accurately and quickly, and diagnostic decisions can be made in a timely manner and corresponding treatment measures can be taken.

An embodiment of the present invention also provides a storage medium in which a computer program is stored, wherein the computer program is configured to execute the steps in any of the above method embodiments when running.

Specifically, in this embodiment, the above-mentioned storage medium may be configured to store a computer program for implementing the following steps:

S501: Obtain the collaborative consultation instructions created by the user, and generate a collaborative consultation interface between users, where the users include medical staff and patients.

S502: Respond to the operation of extracting key consultation information in the collaborative consultation interface, and identify and record the consultation situation between medical staff and patients.

S503: Receive and manage the consultation situation, generate and display the consultation results according to different user identities.

Compared with the existing technology, the present invention first obtains instructions for collaborative consultation created by users, generates a collaborative consultation interface between users, responds to the operation of extracting key consultation information in the collaborative consultation interface, and identifies and records medical personnel Consultations with patients, receive and manage the consultations, generate and display consultation results according to different user identities, it uses mobile medical technology to achieve the flexibility and speed of the mobile consultation system, making it convenient for medical staff Information such as medical records and test results can be obtained more accurately and quickly, and diagnostic decisions can be made in a timely manner and corresponding treatment measures can be taken.

Specifically, in this embodiment, the above-mentioned storage medium may include but is not limited to: U disk, read-only memory (Read-Only Memory, referred to as ROM), random access memory (Random Access Memory, referred to as RAM), mobile Various media such as hard drives, magnetic disks, or optical disks that can store computer programs.

An embodiment of the present invention also provides an electronic device, including a memory and a processor. A computer program is stored in the memory, and the processor is configured to run the computer program to perform any of the above method embodiments. step.

Specifically, the above-mentioned electronic device may further include a transmission device and an input-output device, wherein the transmission device is connected to the above-mentioned processor, and the input-output device is connected to the above-mentioned processor.

Specifically, in this embodiment, the above-mentioned processor can be configured to implement the following steps through a computer program:

S501: Obtain the collaborative consultation instructions created by the user, and generate a collaborative consultation interface between users, where the users include medical staff and patients.

S502: Respond to the operation of extracting key consultation information in the collaborative consultation interface, and identify and record the consultation situation between medical staff and patients.

S503: Receive and manage the consultation situation, generate and display the consultation results according to different user identities.

Compared with the existing technology, the present invention first obtains instructions for collaborative consultation created by users, generates a collaborative consultation interface between users, responds to the operation of extracting key consultation information in the collaborative consultation interface, and identifies and records medical personnel Consultations with patients, receive and manage the consultations, generate and display consultation results according to different user identities, it uses mobile medical technology to achieve the flexibility and speed of the mobile consultation system, making it convenient for medical staff Information such as medical records and test results can be obtained more accurately and quickly, and diagnostic decisions can be made in a timely manner and corresponding treatment measures can be taken.

It should be noted that for the sake of simple description, the foregoing method embodiments are expressed as a series of action combinations. However, those skilled in the art should know that the present invention is not limited by the described action sequence. Because in accordance with the present invention, certain steps may be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily necessary for the present invention.

In the above embodiments, each embodiment is described with its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

In the several embodiments provided by the present invention, it should be understood that the disclosed device can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the above units is only a logical function division. In actual implementation, there may be other divisions. For example, multiple units or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical or other forms.

The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or software functional units.

If the above-mentioned integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present invention is essentially or contributes to the existing technology or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, It includes several instructions to cause a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the above methods in various embodiments of the present invention. The aforementioned memory includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

The embodiments of the present invention have been introduced in detail above. Specific examples are used in this application document to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core ideas; At the same time, for those of ordinary skill in the art, there will be changes in the specific implementation and application scope based on the ideas of the present invention. In summary, the contents of this description should not be understood as limiting the present invention.

Claims (10)

1. A management system for mobile medical applications, the system comprising:

a login management module, a mobile coordination module, a medical information management module and a visual management module which are in communication connection, wherein,

the login management module is used for recording and managing personal information of medical staff and patients, wherein the personal information comprises condition introduction of the medical staff and the patients and corresponding to-be-completed item information displayed by the identity of the current user;

the mobile coordination module is used for assisting in completing the display of the corresponding to-be-completed items according to the current user identity and identifying and recording the inquiry situation between medical staff and a patient;

the medical information management module is used for extracting and sending key information in the inquiry condition, wherein the key information comprises a disease description, a diagnosis and treatment method, items to be checked and a plurality of check parameters corresponding to the items to be checked one by one;

The visual management module is used for receiving the key information in the medical information management module, generating and displaying inquiry results according to different user identities in a classified mode.

2. The system of claim 1, wherein the system further comprises:

the data encryption module is used for carrying out encryption transmission on the data information obtained by each module based on the data transmission path of the mobile collaborative consultation condition and the data access range of each module until the transmission path of the mobile medical data is traversed, and recording and storing the current consultation result.

3. The system according to any one of claims 1 or 2, wherein the system further comprises:

the monitoring module is used for performing operation monitoring of the real-time mobile medical management system, generating operation monitoring data, performing operation analysis, and generating and feeding back an early warning signal when the system operation abnormality exists.

4. The system of claim 1, wherein the login management module comprises:

a medical staff management unit, a patient management unit and a matter reminding unit, wherein,

the medical staff management unit is used for verifying and logging in by medical staff, editing and managing the electronic medical record of the patient by utilizing the electronic medical record, and synchronously updating the edited electronic medical record;

The patient management unit is used for verifying and logging in the patient, identifying the patient's diagnosis scene, matching corresponding medical staff, and collecting symptom data and image information of the patient;

the item reminding unit is used for displaying the corresponding backlog according to the identity of the current user and receiving the modification of the backlog state by the user.

5. The system of claim 1, wherein the mobile collaboration module comprises:

the inquiry information storage unit, the intelligent identification unit and the auxiliary diagnosis unit, wherein,

the inquiry information storage unit is used for storing a medical disease information base, a simple phrase base corresponding to medical disease information and the past medical history of a patient;

the intelligent recognition unit is used for recognizing the professional medical terms described by the doctor after the doctor makes a consultation with the patient, converting the professional medical terms into popular terms and transmitting the popular terms to the patient for review;

the auxiliary diagnosis and treatment unit is used for intelligently identifying key information in the patient inquiry situation, automatically detecting patient image information, and providing auxiliary diagnosis suggestions according to the key information in the inquiry situation and focuses in the image information and sending the auxiliary diagnosis suggestions to the medical staff management unit.

6. The system of claim 1, wherein the medical information management module comprises:

The inquiry data mapping unit, the characteristic analysis fusion unit and the credibility calculation and grading unit, wherein,

the inquiry data mapping unit is used for mapping the abnormal inquiry data with the corresponding item to be checked to obtain an inquiry data mapping result;

the feature analysis fusion unit is used for carrying out feature analysis according to the mapping result of the inquiry data, obtaining abnormal sub-data corresponding to the abnormal inquiry data, and carrying out data fusion on the abnormal sub-data to obtain fused data;

the credibility calculation and grading unit is used for carrying out credibility calculation on the fused data, obtaining a credibility calculation result, grading the credibility calculation result, and starting a corresponding diagnosis and treatment and examination mode according to the corresponding grading result.

7. The system of claim 1, wherein the visualization management module comprises:

a format integration unit and a classification display unit, wherein,

the format integration unit is used for integrating the attribute of the key information and constructing a corresponding inquiry data display mode based on different user identities;

the classification display unit is used for importing the inquiry data into a neural network model for learning and evaluating the inquiry data through the neural network model, and carrying out visual display among different users according to the classification of the inquiry data meeting the condition according to the score evaluation.

8. A method of managing mobile medical services, the method comprising:

acquiring a user-created collaborative inquiry instruction, and generating a collaborative inquiry interface among users, wherein the users comprise medical staff and patients;

responding to the operation of extracting the inquiry key information in the collaborative inquiry interface, and identifying and recording the inquiry situation between medical staff and patients;

and receiving and managing the inquiry situation, and generating and displaying inquiry results according to different user identities in a classified manner.

9. A storage medium having a computer program stored therein, wherein the computer program is arranged to perform the method of claim 8 when run.

10. An electronic device comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the method of claim 8.