Oral and maxillofacial surgery postoperative care pushing method and system based on artificial intelligence

Abstract

The invention provides an oral maxillofacial surgery postoperative care pushing method and system based on artificial intelligence, and relates to the technical field of artificial intelligence pushing, and the method comprises the steps: obtaining historical case data and stage care data of a user, and converting the historical case data and stage care data into structured data; a push mechanism based on time triggering is designed, the structured data of each time period is evaluated and pushed by using the push mechanism based on time triggering, and a user receives post-operation push matters needing to be followed by the current time period; wherein the push mechanism based on time triggering comprises the steps of designing a time-triggered state mode, taking each user as a state identifier, enabling each state to correspond to a specific postoperative time period and push content, performing time calculation, performing state transition when a postoperative time difference reaches a threshold value, loading the users in a pushable state from a database, and pushing the pushable state to the corresponding user. And the matters needing attention of different users at different stages are pushed.

Description

Technical Field

[0001] The present disclosure relates to the field of artificial intelligence push technology, and in particular to an artificial intelligence-based oral and maxillofacial surgery postoperative care push method and system. Background Art

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

[0003] Currently, we are vigorously developing continuing care services. By developing mobile apps and nursing service follow-up systems, we are providing discharged patients with nursing needs with online nursing consultation, nursing follow-up, home care guidance and other continuing care services, addressing the issues of routine care, specialized care, and disease-specific care after discharge. Medical institutions are encouraged to gradually expand the proportion of wards offering continuing care services to reduce the rate of unplanned readmissions for discharged patients.

[0004] Existing continuity care services typically involve nurses creating WeChat groups and inviting patients to join. This allows nurses to centrally share information about postoperative care and answer patient questions. However, this approach suffers from duplication of information and delayed responses. Furthermore, it fails to provide timely, personalized care information to each patient. Summary of the Invention

[0005] In order to solve the above problems, the present invention proposes an artificial intelligence-based oral and maxillofacial surgery postoperative care push method and system, designs a time-triggered state machine mode, uses each user as a state identifier, and each state corresponds to a specific postoperative time period and push content. Postoperative guidance is pushed in real time through automation technology to realize information-based care.

[0006] According to some embodiments, the present disclosure adopts the following technical solutions:

[0007] Artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method, including:

[0008] Obtain the user's historical case data and stage nursing data and convert them into structured data;

[0009] Design a time-triggered push mechanism to evaluate and push structured data for each time period, so that users receive postoperative push precautions that should be followed in the current time period;

[0010] Among them, the time-triggered push mechanism includes designing a time-triggered state mode, each user is used as a state identifier, each state corresponds to a specific postoperative time period and push content, and time calculation is performed. When the postoperative time difference reaches a threshold, the state is transferred, and users in the pushable state are loaded from the database to realize the push of precautions for different users at different stages.

[0011] According to some embodiments, the present disclosure adopts the following technical solutions:

[0012] The artificial intelligence-based oral and maxillofacial surgery postoperative care push system includes:

[0013] The data acquisition module is used to obtain the user's historical case data and stage nursing data and convert them into structured data;

[0014] A push module is used to design a time-triggered push mechanism, which evaluates and pushes the structured data of each time period, and the user receives the postoperative push precautions that should be followed in the current time period;

[0015] Among them, the time-triggered push mechanism includes designing a time-triggered state mode, each user is used as a state identifier, each state corresponds to a specific postoperative time period and push content, and time calculation is performed. When the postoperative time difference reaches a threshold, the state is transferred, and users in the pushable state are loaded from the database to realize the push of precautions for different users at different stages.

[0016] According to some embodiments, the present disclosure adopts the following technical solutions:

[0017] A computer program product includes a computer program, which, when executed by a processor, implements the artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method.

[0018] According to some embodiments, the present disclosure adopts the following technical solutions:

[0019] A non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by a processor, the artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method is implemented.

[0020] According to some embodiments, the present disclosure adopts the following technical solutions:

[0021] An electronic device comprises: a processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to implement the artificial intelligence-based oral and maxillofacial surgery postoperative care push method.

[0022] Compared with the prior art, the present invention has the following beneficial effects:

[0023] This AI-based postoperative care delivery method for oral and maxillofacial surgery utilizes a time-triggered delivery mechanism for evaluation and delivery. Users receive postoperative precautions that should be followed during the current timeframe. This automated delivery of care guidance information, leveraging a push-enabled platform, ensures that patients receive personalized, phased care recommendations immediately. This advancement significantly enhances the targeted and timely nature of care, effectively improving existing nursing processes.

[0024] The disclosed AI-based oral and maxillofacial surgery postoperative care push method utilizes a time-triggered state model, with each user acting as a state identifier. Each state corresponds to a specific postoperative time period and push content. This reduces postoperative infection rates and improves overall quality of life. It effectively enhances the targetedness and timeliness of care, significantly optimizes existing care models, and significantly increases care satisfaction and return visit rates. This approach conserves medical resources and maximizes cost-effectiveness. It also enhances social health awareness, promotes medical informatization, and develops and optimizes the allocation of medical resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] The accompanying drawings, which constitute a part of the present disclosure, are used to provide a further understanding of the present disclosure. The exemplary embodiments of the present disclosure and their descriptions are used to explain the present disclosure and do not constitute an improper limitation to the present disclosure.

[0026] Figure 1 This is a flow chart of an artificial intelligence-based oral and maxillofacial surgery postoperative care push method according to an embodiment of the present disclosure;

[0027] Figure 2 This is a flow chart of the core logic of the state machine (taking doPushTask2 as an example) of an embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] The present disclosure will be further described below with reference to the accompanying drawings and embodiments.

[0029] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of the present disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which the present disclosure belongs.

[0030] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present disclosure. As used herein, unless the context clearly indicates otherwise, the singular form is intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they indicate the presence of features, steps, operations, devices, components and / or combinations thereof.

[0031] Example 1

[0032] In one embodiment of the present disclosure, a method for delivering oral and maxillofacial surgery postoperative care based on artificial intelligence is provided, comprising the following steps:

[0033] Step 1: Obtain the user's historical case data and stage nursing data and convert them into structured data;

[0034] Step 2: Design a time-triggered push mechanism, which evaluates and pushes structured data for each time period, and the user receives the postoperative precautions that should be followed in the current time period;

[0035] Among them, the time-triggered push mechanism includes designing a time-triggered state mode, each user is used as a state identifier, each state corresponds to a specific postoperative time period and push content, and time calculation is performed. When the postoperative time difference reaches a threshold, the state is transferred, and users in the pushable state are loaded from the database to realize the push of precautions for different users at different stages.

[0036] As an embodiment, the artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method disclosed herein is specifically implemented as follows:

[0037] Step 1: Obtain the user's historical case data and stage nursing data and convert them into structured data;

[0038] Specifically, the user's historical case data and stage nursing data are obtained, mainly by the patient filling in the patient's name, medical number and operation end time after the operation or exporting it from the medical system;

[0039] According to the different time periods after surgery, the self-care precautions that users need to take, including diet, life, wound observation and exercise data, are summarized in the form of text and pictures, and a fixed template is generated.

[0040] Step 2: Design a time-triggered push mechanism, using which the structured data for each time period is evaluated and pushed, so that users receive the postoperative precautions that should be followed in the current time period;

[0041] Specifically, the time-triggered push mechanism includes designing a time-triggered state model, with each user as a state identifier. Each state corresponds to a specific postoperative time period and push content, and time calculation is performed. When the postoperative time difference reaches a threshold, the state transition is performed, and users in the pushable state are loaded from the database to implement the push of precautions for different users at different stages. That is, taking the time-triggered mechanism as an example, the patient's postoperative recovery period is subdivided into several specific time periods, and each stage is equipped with corresponding nursing points. Whenever a patient completes a recovery stage and is about to enter the next stage, the system automatically pushes the next stage of care guidance to the patient.

[0042] In one embodiment, the specific process of the time-triggered push mechanism includes:

[0043] 1. Query the user list that needs to be pushed from the database:

[0044] The performTask1() method handles the push task with event key "1" (a general surgery postoperative reminder), with a frequency of every three minutes (configured via the @Scheduled annotation). The method calls userRepository.findUserToPush("1",9). The parameter "1" indicates the event type, and the parameter 9 indicates a maximum of nine pushes. The method then iterates through the user list and calls doPushTask1(user) for each user.

[0045] The push task with event key "2" (post-orthognathic surgery reminder) is executed every 3 minutes using the method userRepository.findUserToPush("2",10). Parameter "2" indicates the event type, and parameter 10 indicates a maximum of 10 pushes. doPushTask2(user) is called for each user, and push failures are logged. The push content is shown in Table 1 below.

[0046] Table 1 Push content table

[0047]

[0048]

[0049] 2. Status check loop, obtain the user's current postoperative status, push corresponding content and perform status transition according to different time status.

[0050] Specifically, based on the time condition trigger, accurate time calculation is performed. When the postoperative time difference reaches the threshold, the state transfer action is executed, and the state can be self-incremented, including: the time calculation method is to use System.currentTimeMillis() to obtain the current time and compare it with user.getDate().getTime() (operation time), and the specific time point (such as 9:00 the next day) is accurately calculated using the Calendar class.

[0051] As an embodiment, multiple pushes are possible, and multiple messages may be sent continuously at certain stages (eg, 3 messages may be sent if the push number is 2).

[0052] This includes resource links: providing WeChat official account article links as supplementary information. After each push, the pushCount is incremented and the user status is saved.

[0053] Furthermore, the state machine mode implementation principle is as follows:

[0054] 1) Status definition:

[0055] The pushCount field of each user serves as a status identifier (1-9); each status corresponds to a specific postoperative time period and push content.

[0056] 2) State transition conditions:

[0057] 1) Triggered entirely based on time conditions (post-operative time difference reaches a threshold), using System.currentTimeMillis() for accurate time calculation.

[0058] 2) State transition action:

[0059] Send WeChat messages (1-N), increment the status (pushCount += 1), and persist the status (userRepository.save).

[0060] Specifically,

[0061] Initialization phase:

[0062] List <user>users=userRepository.findUserToPush("2",10);

[0063] Load users in the pushable state (not all pushes completed) from the database

[0064] Status check loop:

[0065] for(User user:users){

[0066] doPushTask2(user); / / State machine execution

[0067] }

[0068] The core logic of the state machine (taking doPushTask2 as an example):

[0069]

[0070]

[0071] Critical time judgment method

[0072] Simple time difference judgment:

[0073]

[0074] Precise time point judgment:

[0075]

[0076]

[0077] Furthermore, the features of the time-triggered push mechanism designed in this disclosure are as follows:

[0078] 1) Time-driven: All state transitions are triggered by time conditions

[0079] 2) Discrete state: Each state has a clear digital identifier

[0080] 3) One-way flow: the state can only be increased and cannot be retracted

[0081] 4) Idempotent design: Multiple checks will not cause duplicate pushes (guaranteed by status values)

[0082] 5) External persistence: state values ​​are stored in the database

[0083] Furthermore, push logic judgment: push at different stages is executed according to the value of user.getPushCount(), as shown below:

[0084] 1) Pushing time 1: Pushing 6 hours after surgery

[0085] Judgment condition: Current time > operation time + 6 hours

[0086] Push content: Instruct the patient to raise the head of the bed and drink a small amount of warm water with a straw

[0087] 2) Pushing time 2: Pushing at 9:00 the next day after surgery

[0088] Judgment condition: Current time ≥ 9:00 the day after surgery

[0089] Push content:

[0090] Instruct students to use empty needle to inject liquid nutrient solution;

[0091] Provide a link to guidance on effusion management;

[0092] Provide a link to the description of the headgear function;

[0093] 3) Pushing time 3: Pushing at 15:00 the day after surgery;

[0094] Judgment conditions: current time ≥ 15:00 the day after surgery;

[0095] Push content:

[0096] Notice that the drainage tube (dragon beard) can be removed;

[0097] Remind to keep the mandibular sleeve compressed;

[0098] Provide ASA rating scale;

[0099] 4) Pushing number 4: Pushing on the 4th day after surgery;

[0100] Judgment conditions: current time > surgery time + 4 days;

[0101] Push content:

[0102] Dietary guidance after discharge;

[0103] soft food transition advice;

[0104] 5) Pushing number 5: Pushing on the 5th day after surgery;

[0105] Judgment conditions: current time > surgery time + 5 days;

[0106] Push content:

[0107] Discharge precautions;

[0108] Semi-solid diet instructions;

[0109] 6) Pushing number 6: Pushing 12 days after surgery;

[0110] Judgment conditions: current time > surgery time + 12 days;

[0111] Push content:

[0112] Follow-up appointment reminders;

[0113] Precautions for jaw plate removal;

[0114] Dietary modification recommendations;

[0115] 7) Pushing times 7: Pushing 30 days after surgery;

[0116] Judgment conditions: current time > surgery time + 30 days;

[0117] Push content:

[0118] 4-week follow-up reminder;

[0119] Instructions for radiographic examination;

[0120] SAS evaluation form;

[0121] 8) Pushing times 8: Pushing 90 days after surgery;

[0122] Judgment conditions: current time > surgery time + 90 days;

[0123] Push content:

[0124] 3-month follow-up reminder;

[0125] Jaw healing examination instructions;

[0126] 9) Pushing times 9: Pushing 180 days after surgery;

[0127] Judgment condition: Current time > surgery time + 180 days

[0128] The push content is:

[0129] 6-month follow-up reminder;

[0130] Exercise recommendations;

[0131] Satisfaction questionnaire;

[0132] As an embodiment, the present disclosure discloses two different push processes, namely Task 1 (simple surgery): 8 push stages, from 30 minutes to 240 hours (10 days) after surgery

[0133] Task 2 (orthognathic surgery): 9 push phases, from 6 hours to 180 days after surgery.

[0134] Different guidance content is sent according to different push stages. Some stages contain external links (such as rehabilitation guidance articles) and use the constant ALERT_MESSAGE as the message title.

[0135] Query the database for the list of users to push to, iterate through the users, check each user's push phase, and if the time conditions are met, send the corresponding message and update the push count. Use try-catch to handle exceptions to ensure that one user's error does not affect other users.

[0136] The core of this algorithm is a time-triggered state machine model. Each push count corresponds to a specific postoperative recovery stage. The system automatically advances the patient's rehabilitation guidance process by calculating the postoperative time.

[0137] The core logic of the state machine (taking doPushTask2 as an example): Platform push is performed after surgery. You can choose to scan the code or other login methods. The time point is triggered based on time judgment. When the time is 6 hours after surgery, the push content is the nursing action corresponding to the corresponding time. After the postoperative examination is notified, the postoperative nursing push process ends.

[0138] Example 2

[0139] In one embodiment of the present disclosure, an artificial intelligence-based oral and maxillofacial surgery postoperative care delivery system is provided, comprising:

[0140] The data acquisition module is used to obtain the user's historical case data and stage nursing data and convert them into structured data;

[0141] A push module is used to design a time-triggered push mechanism, which evaluates and pushes the structured data of each time period, and the user receives the postoperative push precautions that should be followed in the current time period;

[0142] Among them, the time-triggered push mechanism includes designing a time-triggered state mode, each user is used as a state identifier, each state corresponds to a specific postoperative time period and push content, and time calculation is performed. When the postoperative time difference reaches a threshold, the state is transferred, and users in the pushable state are loaded from the database to realize the push of precautions for different users at different stages.

[0143] Example 3

[0144] In one embodiment of the present disclosure, a computer program product is provided, including a computer program, which, when executed by a processor, implements the artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method.

[0145] Example 4

[0146] In one embodiment of the present disclosure, a non-transitory computer-readable storage medium is provided, which is used to store computer instructions. When the computer instructions are executed by a processor, the artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method is implemented.

[0147] Example 5

[0148] In one embodiment of the present disclosure, an electronic device is provided, comprising: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory. When the electronic device is running, the processor executes the computer program stored in the memory, so that the electronic device executes the artificial intelligence-based oral and maxillofacial surgery postoperative care push method.

[0149] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0150] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0151] Although the above describes the specific implementation methods of the present disclosure in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present disclosure. Those skilled in the art should understand that on the basis of the technical solution of the present disclosure, various modifications or variations that can be made by those skilled in the art without creative work are still within the scope of protection of the present disclosure.< / user>

Claims

1. An artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method, characterized in that: include: Obtain the user's historical case data and stage nursing data and convert them into structured data; Design a time-triggered push mechanism to evaluate and push structured data for each time period, so that users receive postoperative push precautions that should be followed in the current time period; Among them, the time-triggered push mechanism includes designing a time-triggered state mode, each user is used as a state identifier, each state corresponds to a specific postoperative time period and push content, and time calculation is performed. When the postoperative time difference reaches a threshold, the state is transferred, and users in the pushable state are loaded from the database to realize the push of precautions for different users at different stages.

2. The artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method according to claim 1, characterized in that: Obtain the user's historical case data and stage care data and convert them into structured data, including: summarizing the user's self-care precautions according to different postoperative time periods, including diet, life, wound observation and exercise data into text and picture format, and generating a fixed template.

3. The artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method according to claim 1, characterized in that: Design a push mechanism based on time triggering, query the database for the list of users to be pushed, each user is used as a status identifier, and each status corresponds to a specific postoperative time period and push content. It is triggered completely based on time conditions and performs precise time calculation. When the postoperative time difference reaches the threshold, the state transfer action is executed, and the state can be automatically incremented.

4. The artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method according to claim 1, characterized in that: Design a time-triggered state mode, specifically including: initialization phase, loading users in the pushable state from the database, and performing a state check loop to obtain the user's current postoperative state. According to different time states, push corresponding content and perform state transfer.

5. The artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method according to claim 4, characterized in that: The judgment process of state transition includes: simple time difference judgment, judging whether it exceeds the specified number of hours, or judging whether it reaches the specified time on the Nth day after surgery. If the state condition is met, the corresponding state action is executed. If the state condition is not met, the state machine ends.

6. The artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method according to claim 1, characterized in that: The constraints of the time-triggered push mechanism include: all state transitions are triggered by time conditions, each state has a clear numerical identifier, the state can only be incremented and cannot be rolled back, multiple checks will not cause repeated pushes, and the state value is stored in the database.

7. An artificial intelligence-based oral and maxillofacial surgery postoperative care delivery system, characterized by: include: The data acquisition module is used to obtain the user's historical case data and stage nursing data and convert them into structured data; A push module is used to design a time-triggered push mechanism, which evaluates and pushes the structured data of each time period, and the user receives the postoperative push precautions that should be followed in the current time period; Among them, the time-triggered push mechanism includes designing a time-triggered state mode, each user is used as a state identifier, each state corresponds to a specific postoperative time period and push content, and time calculation is performed. When the postoperative time difference reaches a threshold, the state is transferred, and users in the pushable state are loaded from the database to realize the push of precautions for different users at different stages.

8. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium, characterized in that The non-transitory computer-readable storage medium is used to store computer instructions. When the computer instructions are executed by the processor, the artificial intelligence-based oral and maxillofacial surgery postoperative care delivery method as described in any one of claims 1 to 6 is implemented.

10. An electronic device, characterized in that: include: A processor, a memory and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to implement the artificial intelligence-based oral and maxillofacial surgery postoperative care push method as described in any one of claims 1 to 6.

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