A digital teaching platform for oral tumor nursing skills based on XR technology

Abstract

This invention discloses a digital teaching platform for oral tumor nursing skills based on XR technology, belonging to the field of nursing education technology. It includes a data acquisition module for collecting and preprocessing oral tumor nursing data; a model building module for constructing virtual scene models and nursing process models based on the preprocessed oral tumor nursing data; a digital platform construction module for building the digital teaching platform for oral tumor nursing skills, integrating the virtual scene models and nursing process models; an intelligent learning and assessment module for using the digital teaching platform for oral tumor nursing skills learning and assessment; and a data encryption and storage module for encrypting the data on the digital teaching platform and storing the encrypted data in a database. This invention constructs a digital teaching platform for oral tumor nursing skills, enabling trainees to practice repeatedly in a safe environment and improve their nursing operation skills.

Description

Technical Field

[0001] This invention relates to the field of nursing education technology, and in particular to a digital teaching platform for oral tumor nursing skills based on XR technology. Background Technology

[0002] With the continuous development of technology, VR technology has begun to be applied in various fields. By wearing VR headsets or glasses, users can immerse themselves in a virtual environment and experience realistic 3D images and sounds. This immersive experience enhances the effectiveness of entertainment and learning, allowing users to enjoy a more realistic and immersive experience. XR technology combines real-world mannequins or simulation devices with a virtual environment, truly achieving the effect of replicating real clinical scenarios. Oral and maxillofacial tumors are a type of tumor that occurs in the most complex anatomical area of ​​the human body, including tumors occurring in the oral cavity, nasal cavity, sinuses, pharynx, and larynx. It is the sixth most common cancer worldwide, with more than 660,000 new cases and 325,000 deaths annually. Currently, the treatment for oral and maxillofacial tumors is mainly surgical. However, the loss of functional organs such as the tongue, cheek, and jawbone after radical surgery affects important physiological functions such as breathing, swallowing, speech, smell, and shoulder and neck movement. Therefore, perioperative care for patients with oral and maxillofacial tumors is very important.

[0003] Currently, oral and maxillofacial tumor nursing skills training mainly relies on traditional classroom lectures and simulation operations, lacking immersive experiences, resulting in poor learning initiative and participation from trainees. In addition, during nursing operation practice, trainees inevitably come into contact with patients, but due to the trainees' limited operational skills, patients may feel distrust, increasing the trainees' fear during the operation. Furthermore, invasive procedures such as sputum suction, indwelling gastric tube placement, and arterial blood gas specimen collection cannot be repeatedly practiced on real patients, especially in the initial learning stage. Blindly performing these procedures can easily aggravate patient discomfort or lead to adverse consequences, resulting in ethical dilemmas. Therefore, it is essential to carry out oral and maxillofacial tumor specialty nursing skills teaching based on XR technology. Summary of the Invention

[0004] In view of the problems existing in the above-mentioned digital teaching platform for oral tumor nursing skills based on XR technology, this invention is proposed.

[0005] Therefore, the problem that this invention aims to solve is that traditional oral and maxillofacial tumor nursing skills training lacks an immersive experience, resulting in poor learning initiative and participation of trainees, insufficient contact between trainees and patients, and a lack of practical experience in nursing skills.

[0006] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a digital teaching platform for oral tumor nursing skills based on XR technology, which includes a data acquisition module for acquiring oral tumor nursing data and preprocessing the oral tumor nursing data;

[0007] The model building module constructs a virtual scene model and a nursing process model based on the preprocessed oral tumor nursing data;

[0008] The digital platform construction module builds a digital teaching platform for oral tumor nursing skills, integrating virtual scene models and nursing process models;

[0009] The intelligent learning and assessment module uses a digital teaching platform for oral tumor nursing skills to teach nursing skills and conduct nursing skills assessments.

[0010] The data encryption and storage module encrypts the data on the digital teaching platform for oral tumor nursing skills and stores the encrypted data in the database.

[0011] As a preferred embodiment of the XR-based digital teaching platform for oral tumor nursing skills described in this invention, the acquisition of oral tumor nursing data includes:

[0012] Collect textual data, image data, video data, and sensor data related to oral tumors;

[0013] The collection of oral tumor text data refers to extracting oral tumor nursing operation process data, complication management data, and anatomical structure data from medical literature databases.

[0014] The acquired image data refers to high-resolution medical images related to oral anatomy and nursing procedures obtained from a professional medical image database.

[0015] The video data collected refers to the collection of standard nursing operation videos by medical staff, including tracheotomy care, sputum suction, and wound care.

[0016] The acquisition of sensor data refers to obtaining the device's operating parameters and force feedback data by connecting to physical operating devices, including suction devices and endotracheal tubes.

[0017] As a preferred embodiment of the XR-based digital teaching platform for oral tumor nursing skills described in this invention, the preprocessing of oral tumor nursing data includes:

[0018] Text data preprocessing, image data preprocessing, video data preprocessing, and sensor data preprocessing;

[0019] The text data preprocessing refers to the use of natural language processing techniques to process text data, including word segmentation, stop word removal, and data standardization, to generate a text dataset;

[0020] The image data preprocessing refers to using an edge detection algorithm to process the image and generate a binarized edge image;

[0021] The video data preprocessing refers to using OpenPose to decompose motions and extract the steps in the nursing operation.

[0022] The sensor data preprocessing refers to filtering and normalizing the sensor data.

[0023] As a preferred embodiment of the XR-based digital teaching platform for oral tumor nursing skills described in this invention, the step of constructing a virtual scene model based on preprocessed oral tumor nursing data includes:

[0024] Using Blender as a 3D modeling tool, a virtual ward environment was constructed, including walls, beds, surgical lights, and medical equipment. The collected real image data was mapped onto the 3D model using UV mapping technology.

[0025] The basic skeleton and anatomical model of the patient were generated using B-spline curves, and the generated patient model and its skeletal structure were bound together using Blender's skinning technology.

[0026] The patient's facial expressions were designed using the Shape Keys feature in Blender, and then dynamically expressed using an animation controller in Unity.

[0027] Use Unity's XR Interaction Toolkit to create interactive features between students and virtual scenes, including gesture and voice interaction;

[0028] Using Unity's physics engine, we simulated the force feedback generated when students operate the equipment.

[0029] As a preferred embodiment of the XR-based digital teaching platform for oral tumor nursing skills described in this invention, the construction of the nursing process model includes:

[0030] Construct a nursing process model, including preoperative assessment, intraoperative procedures, and postoperative care;

[0031] The preoperative assessment refers to medical history taking, preoperative physical examination, risk assessment, and psychological assessment.

[0032] The intraoperative procedures refer to each step of oral tumor surgery simulated using virtual reality technology, including incision design, tumor resection, hemostasis, and suturing.

[0033] The postoperative care refers to simulating postoperative problems and postoperative care procedures, including incision care, wound management, oral care, nasogastric feeding care, and drainage care.

[0034] As a preferred embodiment of the XR-based digital teaching platform for oral tumor nursing skills described in this invention, the construction of the digital teaching platform for oral tumor nursing skills integrates a virtual scene model and a nursing process model, including:

[0035] Design the architecture of a digital teaching platform for oral tumor nursing skills, including the front-end user interface, back-end server and database, and middle-layer API interface;

[0036] Use React and Vue.js for front-end development, and design the front-end user interface, including the main interface, learning section, and assessment section;

[0037] The front-end user interface connects to the back-end server and database through the middle-layer API interface to interact with data;

[0038] Integrate virtual scene models and nursing process models into the digital teaching platform for oral tumor nursing skills.

[0039] As a preferred embodiment of the digital teaching platform for oral tumor nursing skills based on XR technology described in this invention, the use of the digital teaching platform for oral tumor nursing skills to learn nursing skills includes:

[0040] Teachers use the digital teaching platform for oral tumor nursing skills to create different teaching blocks based on the teaching content, including basic knowledge teaching, surgical simulation, nursing skills training and psychological support, to conduct oral tumor specialty nursing teaching;

[0041] The basic knowledge teaching refers to loading a three-dimensional model of the internal structure of the oral cavity and a three-dimensional model of the tumor into the digital teaching platform for oral tumor nursing skills. Students can observe the panoramic view through XR equipment, and teachers can use virtual tools to display specific structures for teaching.

[0042] The surgical simulation refers to the use of a digital teaching platform for oral tumor nursing skills to simulate each step of oral and maxillofacial tumor resection surgery, including surgical procedures, instrument use, and intraoperative precautions. Trainees perform surgical procedures according to virtual guidance, and teachers explain the surgical steps, demonstrate the operation, and show common errors and their correction methods through the digital teaching platform for oral tumor nursing skills.

[0043] The nursing skills training refers to the use of a digital teaching platform for oral tumor nursing skills to simulate oral and maxillofacial tumor specialty nursing operations, including oral irrigation, tracheostomy care, sputum suction and internal cannula care. Trainees perform oral and maxillofacial tumor specialty nursing operations, and the digital teaching platform for oral tumor nursing skills monitors in real time, providing feedback and guidance.

[0044] The psychological support refers to creating virtual scenarios for communication with patients using a digital teaching platform for oral tumor nursing skills, using XR devices to converse with virtual patients, collecting virtual patient medical history, observing the virtual patient's psychological state and emotional changes, and the digital teaching platform for oral tumor nursing skills providing guidance and suggestions based on the content of the communication between trainees.

[0045] As a preferred embodiment of the XR-based digital teaching platform for oral tumor nursing skills described in this invention, the nursing skills assessment includes:

[0046] Teachers set up nursing skills assessment content in the digital teaching platform for oral tumor nursing skills and conduct nursing skills assessments. The nursing skills assessment includes routine skills assessment and adaptability assessment. The adaptability assessment refers to simulating different emergency events in a virtual environment to assess the students' nursing abilities.

[0047] The digital teaching platform for oral tumor nursing skills is used to monitor trainees’ nursing assessment operations in real time, and to generate nursing skills assessment scores based on the completeness, correctness and timeliness of the nursing assessment operation steps.

[0048] Based on the assessment content and nursing skills assessment scores, a nursing operation analysis report is generated for the trainees. The nursing operation analysis report includes the strengths, weaknesses and improvement suggestions in the nursing operation.

[0049] As a preferred embodiment of the XR-based digital teaching platform for oral tumor nursing skills described in this invention, the data encryption of the digital teaching platform for oral tumor nursing skills includes:

[0050] An asymmetric encryption algorithm was chosen, and OpenSSL was used to generate public and private keys. The public key was used to encrypt the data of the digital teaching platform for oral tumor nursing skills. The encrypted data was transmitted to the database via the TLS protocol. A checksum was generated using a hash algorithm and appended to the encrypted data. When data access was needed, the private key was used for decryption, and the hash value H was recalculated based on the decrypted data. m Compare it with the hash value H obtained from decryption;

[0051] If the hash values ​​are the same, it means that the data has not been tampered with during transmission and is complete and reliable.

[0052] If the hash values ​​are different, it means that the data may have been tampered with or corrupted during transmission, and the data needs to be retrieved again.

[0053] As a preferred embodiment of the XR-based digital teaching platform for oral tumor nursing skills described in this invention, the step of storing encrypted data in a database includes:

[0054] The MongoDB database is used as the data repository for the digital teaching platform for oral tumor nursing skills. Access permissions for the MongoDB database are configured, encrypted data is written to the MongoDB database, and a regular backup storage strategy is adopted to store the backup data on off-site servers and in the cloud.

[0055] The beneficial effects of this invention are as follows: By constructing a digital teaching platform for oral tumor nursing skills, this invention enables digital teaching of oral tumor nursing skills, creates highly realistic clinical scenarios, integrates virtual scenarios with nursing procedures, provides trainees with a highly interactive learning environment, allows trainees to practice repeatedly in a safe environment, improves operational skills, avoids the risks that may occur with real patients, ensures the realism and effectiveness of nursing skills, and enhances trainees' operational level and emergency response capabilities. Attached Figure Description

[0056] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0057] Figure 1 This is a schematic diagram of the structure of a digital teaching platform for oral tumor nursing skills based on XR technology.

[0058] Figure 2 This is a flowchart illustrating the process of a digital teaching platform for oral tumor nursing skills based on XR technology. Detailed Implementation

[0059] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0060] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of the invention. Therefore, the invention is not limited to the specific embodiments disclosed below.

[0061] Secondly, the term "an embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in different places throughout this specification does not necessarily refer to the same embodiment, nor is it a single embodiment or an embodiment selectively excluded from other embodiments.

[0062] Example 1

[0063] Reference Figure 1 and Figure 2 This is the first embodiment of the present invention, which provides a digital teaching platform for oral tumor nursing skills based on XR technology. The digital teaching platform for oral tumor nursing skills based on XR technology includes...

[0064] S1. Collect oral tumor nursing data and preprocess the oral tumor nursing data;

[0065] Furthermore, the collection of oral tumor care data includes,

[0066] Collect textual data, image data, video data, and sensor data related to oral tumors;

[0067] The collection of oral tumor text data refers to extracting oral tumor nursing operation process data, complication management data, and anatomical structure data from medical literature databases.

[0068] The acquired image data refers to high-resolution medical images related to oral anatomy and nursing procedures obtained from a professional medical image database.

[0069] The video data collected refers to the collection of standard nursing operation videos by medical staff, including tracheotomy care, sputum suction, and wound care.

[0070] The acquisition of sensor data refers to obtaining the device's operating parameters and force feedback data by connecting to physical operating devices, including suction devices and endotracheal tubes.

[0071] By extracting various types of oral tumor nursing data from medical literature databases, the system can obtain authoritative nursing knowledge and operational guidance, ensuring the accuracy and reliability of the information and providing a solid theoretical foundation for the construction of nursing models and processes. Furthermore, through the collection and analysis of oral tumor nursing data, the system can identify potential complications and their management methods during the nursing process, effectively improving nursing response capabilities and ultimately laying the foundation for the subsequent construction of virtual scenarios and nursing process models.

[0072] Furthermore, preprocessing of oral tumor care data includes,

[0073] Text data preprocessing, image data preprocessing, video data preprocessing, and sensor data preprocessing;

[0074] The text data preprocessing refers to the use of natural language processing techniques to process text data, including word segmentation, stop word removal, and data standardization, to generate a text dataset;

[0075] The image data preprocessing refers to using an edge detection algorithm to process the image and generate a binarized edge image;

[0076] The video data preprocessing refers to using OpenPose to decompose motions and extract the steps in the nursing operation.

[0077] The sensor data preprocessing refers to filtering and normalizing the sensor data.

[0078] By preprocessing oral tumor nursing data, text data preprocessing uses natural language processing techniques for word segmentation, stop word removal, and standardization to ensure that the generated text dataset is clear and standardized, which helps the model better understand nursing-related language information. Image data uses edge detection algorithms to generate binarized edge images, retaining key features and enhancing the accuracy of image analysis. Video data preprocessing uses OpenPose for motion decomposition to extract key steps in nursing operations, providing a basis for process standardization and quality assessment. Sensor data filtering and normalization effectively eliminate noise and unify data scale, ensuring the comparability and stability of data from different sources, improving data integrity, consistency, and reliability, providing high-quality input for subsequent model construction and analysis, and improving the accuracy and efficiency of the entire system.

[0079] S2. Based on the pre-processed oral tumor nursing data, construct a virtual scene model and a nursing process model;

[0080] Furthermore, based on the pre-processed oral tumor care data, a virtual scene model was constructed, including:

[0081] Using Blender as a 3D modeling tool, a virtual ward environment was constructed, including walls, beds, surgical lights, and medical equipment. The collected real image data was mapped onto the 3D model using UV mapping technology to improve the realism of the scene.

[0082] The basic skeleton and anatomical model of the patient were generated using B-spline curves, and the generated patient model and its skeletal structure were bound together using Blender's skinning technology.

[0083] The patient's facial expressions were designed using the Shape Keys feature in Blender, and then animated using an animation controller in Unity to ensure that the patient model's movements and expressions were natural and smooth during interaction.

[0084] Use Unity's XR Interaction Toolkit to create interactive features between students and virtual scenes, including gesture and voice interaction;

[0085] Using Unity's physics engine, we simulated the force feedback generated when students operate the equipment.

[0086] By using Blender to construct a 3D virtual ward environment, recreating a realistic medical scene including walls, beds, surgical lights, and medical equipment, trainees can perform nursing procedures in an immersive environment. Simultaneously, UV mapping technology is used to map real image data onto the 3D model, greatly enhancing the realism and visual effects of the scene, making the virtual scene more lifelike. This not only increases the trainees' immersion but also improves their sense of involvement and operational accuracy during actual practice, ensuring the effectiveness of the training. Furthermore, by generating the patient's skeleton and anatomical model using B-spline curves and utilizing Blender's skinning technology to bind the skeleton to the patient model, the model possesses basic anatomical structure and dynamic behavioral capabilities. This operation not only ensures the accuracy of the patient model's biological structure but also enhances the model's dynamic... By enhancing the model's posture and responsiveness, trainees can gain a more intuitive understanding of the patient's anatomical structure and the physiological characteristics involved in nursing procedures. This technology enables the model to flexibly adjust its posture and respond to operations, which helps improve trainees' hands-on skills. In addition, the use of morphic keys to design changes in patient expressions, combined with the Unity animation controller to achieve dynamic performance, makes the model more realistic and natural in interaction. It also provides trainees with more realistic nursing scenarios, helping to enhance their coping abilities and communication skills. Furthermore, the use of a physics engine to simulate force feedback allows trainees to obtain a tactile experience close to the real environment during operation, which can effectively improve trainees' operational accuracy and proficiency. This helps them gradually master complex nursing procedures in a simulated safe environment, ultimately improving their coping abilities and operational confidence in actual work.

[0087] Furthermore, constructing a nursing process model includes,

[0088] Construct a nursing process model, including preoperative assessment, intraoperative procedures, and postoperative care;

[0089] The preoperative assessment refers to medical history taking, preoperative physical examination, risk assessment, and psychological assessment.

[0090] The intraoperative procedures refer to each step of oral tumor surgery simulated using virtual reality technology, including incision design, tumor resection, hemostasis, and suturing.

[0091] The postoperative care refers to simulating postoperative problems and postoperative care procedures, including incision care, wound management, oral care, nasogastric feeding care, and drainage care.

[0092] By constructing a standardized nursing process model, the system provides a standardized and regulated operational framework for oral tumor nursing procedures, ensuring the correctness and consistency of each nursing step. This model not only covers the nursing process at each stage before, during, and after surgery, but also provides learners with clear operational guidance. Through the establishment of standardized processes, standardized management of the nursing process is achieved, effectively improving the quality of nursing care and reducing the possibility of errors during operation. The standardized nursing process model not only covers all key nursing stages before, during, and after surgery, but also enables learners to better master nursing skills through virtual reality technology and simulated practice. This process enhances the practicality and safety of training, ensuring that nursing skills are strengthened in a risk-free virtual environment, while also improving the effectiveness of postoperative care and providing important guarantees for patient recovery.

[0093] S3. Construct a digital teaching platform for oral tumor nursing skills, integrating virtual scene models and nursing process models;

[0094] Furthermore, a digital teaching platform for oral tumor nursing skills will be constructed, integrating virtual scenario models and nursing process models, including...

[0095] Design the architecture of a digital teaching platform for oral tumor nursing skills, including the front-end user interface, back-end server and database, and middle-layer API interface;

[0096] Use React and Vue.js for front-end development, and design the front-end user interface, including the main interface, learning section, and assessment section;

[0097] The front-end user interface connects to the back-end server and database through the middle-layer API interface to interact with data;

[0098] Integrate virtual scene models and nursing process models into the digital teaching platform for oral tumor nursing skills.

[0099] By designing the architecture of a digital teaching platform for oral tumor nursing skills, including a front-end user interface, back-end server, database, and middleware API interface, the system's functions are modularly distributed and logically managed. The front-end is responsible for presenting a user-friendly interactive interface, while the back-end handles complex computational tasks and data storage. The API interface enables efficient communication and data exchange between the front-end and back-end. This architecture design makes the platform highly scalable and flexible, facilitating future function updates and iterations, and ultimately improving the system's maintainability and scalability. Furthermore, by integrating virtual scenario models and nursing process models into the digital teaching platform, learners can operate and experience actual nursing processes in a simulation environment, gaining a more realistic experience. This integration not only enhances the immersion and practicality of learning but also provides learners with opportunities to practice repeatedly in a risk-free environment, helping them better master complex nursing skills. Ultimately, this significantly improves learners' skill mastery and emergency response capabilities.

[0100] S4. Use the digital teaching platform for oral tumor nursing skills to learn nursing skills and conduct nursing skills assessments;

[0101] Furthermore, the use of a digital teaching platform for oral tumor nursing skills includes:

[0102] Teachers use the digital teaching platform for oral tumor nursing skills to create different teaching blocks based on the teaching content, including basic knowledge teaching, surgical simulation, nursing skills training and psychological support, to conduct oral tumor specialty nursing teaching;

[0103] The basic knowledge teaching refers to loading a three-dimensional model of the internal structure of the oral cavity and a three-dimensional model of the tumor into the digital teaching platform for oral tumor nursing skills. Students can observe the panoramic view through XR equipment, and teachers can use virtual tools to display specific structures for teaching.

[0104] The surgical simulation refers to the use of a digital teaching platform for oral tumor nursing skills to simulate each step of oral and maxillofacial tumor resection surgery, including surgical procedures, instrument use, and intraoperative precautions. Trainees perform surgical procedures according to virtual guidance, and teachers explain the surgical steps, demonstrate the operation, and show common errors and their correction methods through the digital teaching platform for oral tumor nursing skills.

[0105] The nursing skills training refers to the use of a digital teaching platform for oral tumor nursing skills to simulate oral and maxillofacial tumor specialty nursing operations, including oral irrigation, tracheostomy care, sputum suction and internal cannula care. Trainees perform oral and maxillofacial tumor specialty nursing operations, and the digital teaching platform for oral tumor nursing skills monitors in real time, providing feedback and guidance.

[0106] The psychological support refers to creating virtual scenarios for communication with patients using a digital teaching platform for oral tumor nursing skills. This involves using XR devices to converse with virtual patients, collecting their medical history, and observing their psychological state and emotional changes. The digital teaching platform for oral tumor nursing skills provides guidance and suggestions based on the content of the communication, helping trainees master effective psychological support skills and improve their communication skills.

[0107] By using a digital teaching platform for oral tumor nursing skills to load 3D models, trainees can observe the internal structures of the oral cavity and tumor models in panoramic view through XR equipment. This not only provides an intuitive visual learning experience but also dynamically displays complex anatomical structures and tumor lesions, enhancing learners' understanding of disease characteristics. By displaying specific structures through virtual tools, instructors can more accurately explain the key points of oral tumor nursing care, ultimately helping trainees master the basic knowledge of oral tumors and achieving efficient teaching results. Furthermore, using the digital teaching platform for oral tumor nursing skills for surgical simulation and nursing skills training provides trainees with a safe virtual environment, allowing them to repeatedly practice complex surgical procedures and reduce error rates in real surgeries. Instructors can use the platform to explain and demonstrate methods for correcting common errors, improving the standardization of operations and helping trainees become familiar with different situations. The measures implemented ultimately enhanced the trainees' surgical skills and operational confidence. Simulating oral and maxillofacial tumor specialty nursing procedures, such as oral irrigation and tracheostomy care, helped trainees receive highly realistic nursing skills training in a virtual environment. Real-time monitoring of trainees' operations, along with feedback and guidance, provided a dynamic feedback mechanism that not only helped trainees correct errors promptly but also improved their learning efficiency and the accuracy of skill mastery, ultimately enhancing their clinical nursing skills. Furthermore, by creating virtual scenarios for patient interaction, trainees could use XR devices to converse with virtual patients and collect medical histories. This stress-free communication training environment helped trainees improve their communication skills with patients and their ability to cope with changes in patient emotions. The platform provided real-time guidance and suggestions based on the trainees' communication content, helping them master psychological support skills and ultimately improving their comprehensive nursing capabilities and patient satisfaction.

[0108] Furthermore, the nursing skills assessment includes,

[0109] Teachers set up nursing skills assessment content in the digital teaching platform for oral tumor nursing skills and conduct nursing skills assessments. The nursing skills assessment includes routine skills assessment and adaptability assessment. The adaptability assessment refers to simulating different emergency events in a virtual environment to assess the students' nursing abilities.

[0110] The digital teaching platform for oral tumor nursing skills is used to monitor trainees’ nursing assessment operations in real time, and to generate nursing skills assessment scores based on the completeness, correctness and timeliness of the nursing assessment operation steps.

[0111] Based on the assessment content and nursing skills assessment scores, a nursing operation analysis report is generated for the trainees. The nursing operation analysis report includes the strengths, weaknesses and improvement suggestions in the nursing operation.

[0112] By having teachers set up assessment content on a digital teaching platform to evaluate students' nursing skills, the assessment ensured its relevance and flexibility. This enabled students to not only master routine skills but also cope with various emergencies, thus improving their overall nursing capabilities. The combined assessment of routine skills and adaptability allowed students to solidify their basic nursing knowledge and enhance their clinical emergency response capabilities through simulated emergency situations. This adaptability assessment, through a virtual environment simulating various emergencies, tested students' judgment and reaction speed in emergency situations, providing them with near-realistic operational scenarios. This helped students gain experience in emergency handling in advance and reduced the risk of complications. The error rate in actual work ultimately improves the trainees' comprehensive nursing skills. Through the platform's real-time monitoring function, teachers can observe the trainees' nursing assessment operations throughout the process and generate scores based on the completeness, correctness, and timeliness of the operation steps. Finally, a trainee nursing operation analysis report is generated, pointing out the trainees' strengths in the operation, identifying their weaknesses, and providing improvement suggestions. Through detailed analysis of the trainees' performance, teachers can provide targeted and personalized guidance to help trainees improve their weak skills. This report, through quantitative analysis results, enables teachers and trainees to clearly identify the problems in learning and training, thereby optimizing the learning plan and further improving the trainees' overall nursing skills.

[0113] S5. Encrypt the data on the digital teaching platform for oral tumor nursing skills and store the encrypted data in a database;

[0114] Furthermore, data encryption is applied to the digital teaching platform for oral tumor nursing skills, including:

[0115] An asymmetric encryption algorithm was chosen, and OpenSSL was used to generate public and private keys. The public key was used to encrypt the data of the digital teaching platform for oral tumor nursing skills. The encrypted data was transmitted to the database via the TLS protocol. A checksum was generated using a hash algorithm and appended to the encrypted data. When data access was needed, the private key was used for decryption, and the hash value H was recalculated based on the decrypted data. m Compare it with the hash value H obtained from decryption;

[0116] If the hash values ​​are the same, it means that the data has not been tampered with during transmission and is complete and reliable.

[0117] If the hash values ​​are different, it means that the data may have been tampered with or corrupted during transmission, and the data needs to be retrieved again.

[0118] By using asymmetric encryption algorithms to encrypt data, generating a public key for encryption and a private key for decryption, it ensures that only users with legitimate private keys can decrypt and access the data, greatly enhancing data confidentiality and security, effectively preventing unauthorized access, and protecting oral tumor care data. In addition, using the TLS protocol for data transmission provides additional security for data during transmission, preventing data from being eavesdropped on and tampered with, ensuring the security and integrity of data during transmission. Furthermore, by introducing a hash algorithm to generate a data checksum, it is possible to accurately detect whether the data has been tampered with or damaged during transmission after the data transmission is completed, promptly identifying anomalies in data transmission, thereby ensuring that users can make judgments and perform operations based on reliable data.

[0119] Furthermore, storing encrypted data in a database includes...

[0120] The MongoDB database is used as the data repository for the digital teaching platform for oral tumor nursing skills. Access permissions for the MongoDB database are configured, encrypted data is written to the MongoDB database, and a regular backup storage strategy is adopted to store the backup data on off-site servers and in the cloud.

[0121] By using MongoDB as the data repository for the digital teaching platform for oral oncology nursing skills, the massive amounts of unstructured or semi-structured data generated by the platform can be easily handled. The platform can more efficiently store, query, and manage complex data structures, improving database read and write performance and ensuring stability and response speed when handling a large number of concurrent operations. This ultimately improves the overall system efficiency. Regular data backups effectively prevent data loss and ensure rapid recovery in case of system failure or accidental data corruption. The strategy of storing backup data on off-site servers and in the cloud further enhances data redundancy and security. Through off-site storage, even if a server or storage center suffers physical damage or disaster, backup data can still be recovered from other servers or the cloud, effectively reducing the risk of single points of failure. Meanwhile, cloud backups offer excellent scalability and accessibility, allowing users to quickly restore data as needed, ensuring business continuity and data security. This process ensures the long-term stable operation of the digital teaching platform for oral oncology nursing skills.

[0122] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, essentially, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0123] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0124] More specific examples of computer-readable media (a non-exhaustive list) include: electrical connections (electronic devices) having one or more wires, portable computer disk drives (magnetic devices), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Furthermore, computer-readable media can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in computer memory.

[0125] It should be understood that various parts of the present invention can be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0126] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A digital teaching platform for oral tumor nursing skills based on XR technology, characterized in that: include, The data acquisition module collects oral tumor nursing data and preprocesses the oral tumor nursing data. The model building module constructs a virtual scene model and a nursing process model based on the preprocessed oral tumor nursing data; The digital platform construction module builds a digital teaching platform for oral tumor nursing skills, integrating virtual scene models and nursing process models; The intelligent learning and assessment module uses a digital teaching platform for oral tumor nursing skills to learn nursing skills and conduct nursing skills assessments. The data encryption and storage module encrypts the data on the digital teaching platform for oral tumor nursing skills and stores the encrypted data in the database; The collected oral tumor care data includes, Collect textual data, image data, video data, and sensor data related to oral tumors; The collection of oral tumor text data refers to extracting oral tumor nursing operation process data, complication management data, and anatomical structure data from medical literature databases. The acquired image data refers to high-resolution medical images related to oral anatomy and nursing procedures obtained from a professional medical image database. The video data collected refers to the collection of standard nursing operation videos by medical staff, including tracheotomy care, sputum suction, and wound care. The acquisition of sensor data refers to obtaining the device's operating parameters and force feedback data by connecting to physical operating devices, including suction devices and endotracheal tubes; The preprocessing of oral tumor care data includes... Text data preprocessing, image data preprocessing, video data preprocessing, and sensor data preprocessing; The text data preprocessing refers to the use of natural language processing techniques to process text data, including word segmentation, stop word removal, and data standardization, to generate a text dataset; The image data preprocessing refers to using an edge detection algorithm to process the image and generate a binarized edge image; The video data preprocessing refers to using OpenPose to decompose motions and extract the steps in the nursing operation. The sensor data preprocessing refers to filtering and normalizing the sensor data. The process of constructing a virtual scene model based on preprocessed oral tumor nursing data includes: Using Blender as a 3D modeling tool, a virtual ward environment was constructed, including walls, beds, surgical lights, and medical equipment. The collected real image data was mapped onto the 3D model using UV mapping technology. The basic skeleton and anatomical model of the patient were generated using B-spline curves, and the generated patient model and its skeletal structure were bound together using Blender's skinning technology. The patient's facial expressions were designed using the Shape Keys feature in Blender, and then dynamically expressed using an animation controller in Unity. Use Unity's XR Interaction Toolkit to create interactive features between students and virtual scenes, including gesture and voice interaction; Using Unity's physics engine, we simulated the force feedback generated when students operated the equipment; The construction of the nursing process model includes, Construct a nursing process model, including preoperative assessment, intraoperative procedures, and postoperative care; The preoperative assessment refers to medical history taking, preoperative physical examination, risk assessment, and psychological assessment. The intraoperative procedures refer to each step of oral tumor surgery simulated using virtual reality technology, including incision design, tumor resection, hemostasis, and suturing. The postoperative care refers to simulating postoperative problems and postoperative care procedures, including incision care, wound management, oral care, nasogastric feeding care, and drainage care.

2. The digital teaching platform for oral tumor nursing skills based on XR technology as described in claim 1, characterized in that: The aforementioned construction of a digital teaching platform for oral tumor nursing skills integrates virtual scenario models and nursing process models, including... Design the architecture of a digital teaching platform for oral tumor nursing skills, including the front-end user interface, back-end server and database, and middle-layer API interface; Use React and Vue.js for front-end development, and design the front-end user interface, including the main interface, learning section, and assessment section; The front-end user interface connects to the back-end server and database through the middle-layer API interface to interact with data; Integrate virtual scene models and nursing process models into the digital teaching platform for oral tumor nursing skills.

3. The digital teaching platform for oral tumor nursing skills based on XR technology as described in claim 2, characterized in that: The use of a digital teaching platform for oral tumor nursing skills includes learning nursing skills. Teachers use the digital teaching platform for oral tumor nursing skills to create different teaching blocks based on the teaching content, including basic knowledge teaching, surgical simulation, nursing skills training and psychological support, to conduct oral tumor specialty nursing teaching; The basic knowledge teaching refers to loading a three-dimensional model of the internal structure of the oral cavity and a three-dimensional model of the tumor into the digital teaching platform for oral tumor nursing skills. Students can observe the panoramic view through XR equipment, and teachers can use virtual tools to display specific structures for teaching. The surgical simulation refers to the use of a digital teaching platform for oral tumor nursing skills to simulate each step of oral and maxillofacial tumor resection surgery, including surgical procedures, instrument use, and intraoperative precautions. Trainees perform the surgical procedures according to virtual guidance, and teachers explain the surgical steps, demonstrate the operation, and show common errors and their correction methods through the digital teaching platform for oral tumor nursing skills. The nursing skills training refers to the use of a digital teaching platform for oral tumor nursing skills to simulate oral and maxillofacial tumor specialty nursing operations, including oral irrigation, tracheostomy care, sputum suction and internal cannula care. Trainees perform oral and maxillofacial tumor specialty nursing operations, and the digital teaching platform for oral tumor nursing skills monitors in real time, providing feedback and guidance. The psychological support refers to creating virtual scenarios for communication with patients using a digital teaching platform for oral tumor nursing skills, using XR devices to converse with virtual patients, collecting virtual patient medical history, observing the virtual patient's psychological state and emotional changes, and the digital teaching platform for oral tumor nursing skills providing guidance and suggestions based on the content of the communication between trainees.

4. The digital teaching platform for oral tumor nursing skills based on XR technology as described in claim 3, characterized in that: The nursing skills assessment includes, Teachers set up nursing skills assessment content in the digital teaching platform for oral tumor nursing skills and conduct nursing skills assessments. The nursing skills assessment includes routine skills assessment and adaptability assessment. The adaptability assessment refers to simulating different emergency events in a virtual environment to assess the students' nursing abilities. The digital teaching platform for oral tumor nursing skills is used to monitor trainees’ nursing assessment operations in real time, and to generate nursing skills assessment scores based on the completeness, correctness and timeliness of the nursing assessment operation steps. Based on the assessment content and nursing skills assessment scores, a nursing operation analysis report is generated for the trainees. The nursing operation analysis report includes the strengths, weaknesses and improvement suggestions in the nursing operation.

5. The digital teaching platform for oral tumor nursing skills based on XR technology as described in claim 4, characterized in that: The data encryption of the digital teaching platform for oral tumor nursing skills includes, An asymmetric encryption algorithm was chosen, and OpenSSL was used to generate public and private keys. The public key was used to encrypt the data of the digital teaching platform for oral tumor nursing skills. The encrypted data was transmitted to the database via the TLS protocol. A checksum was generated using a hash algorithm and appended to the encrypted data. When data access was needed, the private key was used for decryption, and the hash value H was recalculated based on the decrypted data. m Compare it with the hash value H obtained from decryption; If the hash values ​​are the same, it means that the data has not been tampered with during transmission and is complete and reliable. If the hash values ​​are different, it means that the data may have been tampered with or corrupted during transmission, and the data needs to be retrieved again.

6. The digital teaching platform for oral tumor nursing skills based on XR technology as described in claim 5, characterized in that: The process of storing encrypted data in a database includes, The MongoDB database is used as the data repository for the digital teaching platform for oral tumor nursing skills. Access permissions for the MongoDB database are configured, encrypted data is written to the MongoDB database, and a regular backup storage strategy is adopted to store the backup data on off-site servers and in the cloud.

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