Interactive nursing teaching system for nurses and patients

Abstract

The invention discloses an interactive nursing teaching system for nurses and patients, relates to the technical field of nursing teaching, and aims to solve the problems that the traditional teaching is difficult to create a highly tense and complex emergency room atmosphere, students cannot deeply experience the pressure caused by time urgency, and serious consequences possibly caused by slightly poor information transmission. The nursing teaching system comprises a scene simulation module, an interaction module, an intelligent feedback module and a case management module. The scene simulation module utilizes virtual reality and augmented reality technologies to restore the environment of an emergency room and dynamically simulate patient condition changes, and the condition changes comprise dynamic adjustment of the heart rate, the blood pressure, the respiratory rate, the pain degree and the consciousness state of a patient in real time according to different emergency diseases; the interaction module comprises a voice interaction device and an action interaction device. The system has the advantages that the adaptation period of students entering clinical practice, especially emergency room work, is effectively shortened, and the nursing work efficiency and quality are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of nursing teaching, and more specifically, to a nurse-patient interactive nursing teaching system. Background Art

[0002] Currently, most of the nursing teaching methods are relatively traditional. They usually start with theoretical explanations of nurse-patient communication principles and skills, and then supplemented by simple role-playing to simulate nurse-patient dialogue scenarios. However, this method is stretched when dealing with complex and ever-changing actual medical scenarios, especially in the special environment of the emergency room, where its drawbacks become more prominent.

[0003] In the emergency room, the patient's condition is often critical and complex, and may be accompanied by multiple symptoms at the same time. For example, a patient who has suffered a severe car accident may have traumatic shock caused by massive bleeding, severe pain caused by fractures, and may also have impaired consciousness due to a head impact. At this time, nurse-patient interaction requires not only that the nursing staff can quickly and accurately collect the patient's condition information, but also that while soothing the patient's emotions, efficiently convey the treatment plan and nursing measures.

[0004] Traditional teaching is difficult to create such a highly tense and complex emergency room atmosphere. In a simple simulation scenario, students cannot deeply experience the pressure brought by time urgency, and the serious consequences that may be caused by a slight error in information transmission. This makes students need to go through a long adaptation period when entering clinical practice, especially when working in the emergency room, seriously affecting the efficiency and quality of nursing work, and also bringing potential risks to the treatment of patients. In view of this, we propose a nurse-patient interactive nursing teaching system. Summary of the Invention

[0005] The purpose of the present invention is to provide a nurse-patient interactive nursing teaching system, aiming to solve the problems that traditional teaching is difficult to create a highly tense and complex emergency room atmosphere, students cannot deeply experience the pressure brought by time urgency, and the serious consequences that may be caused by a slight error in information transmission.

[0006] To solve the above technical problems, the present invention provides the following technical solutions: A nurse-patient interactive nursing teaching system, the nursing teaching system includes a scenario simulation module, an interaction module, an intelligent feedback module, and a case management module;

[0007] The scenario simulation module uses virtual reality and augmented reality technologies to restore the emergency room environment and dynamically simulate the changes in the patient's condition. The condition changes include dynamically adjusting the patient's heart rate, blood pressure, respiratory rate, pain level, and consciousness state in real time according to different emergency conditions;

[0008] The interactive module includes a voice interaction device and an action interaction device. The voice interaction device enables voice communication between students and virtual patients through a microphone and a speaker, accurately recognizes students' voice commands and generates responses according to preset logic. The action interaction device includes a handle and gloves with sensors, which can capture students' actions in real time and feedback operation results, and is used for students to interact with items in the virtual scene;

[0009] The intelligent feedback module is used to monitor students' language expressions, action behaviors and operation accuracy in real time when students interact with virtual patients. When problems are found, they are immediately feedback through voice prompts and screen displays. After the interaction ends, a comprehensive evaluation of students' performance is carried out, and a detailed evaluation report including scores in aspects such as nurse-patient communication, condition judgment, and nursing operations, as well as advantages, disadvantages and improvement suggestions is generated;

[0010] The case management module includes a case library of different types of emergency cases. The cases cover disease descriptions, patient background information, and nursing key points. It automatically assigns appropriate difficulty cases according to students' learning progress and ability levels, and can dynamically adjust the difficulty of subsequent cases based on students' performance.

[0011] Preferably, the scenario simulation module adopts a disease simulation technology based on a multi-agent system. Multiple autonomous agents respectively simulate different human physiological systems and work together through complex interaction rules. According to students' operations and preset initial disease conditions, the simulation parameters are adjusted in real time and autonomously to simulate the development of the disease, and the interaction between different physiological systems during the development of the disease can be clearly shown.

[0012] Preferably, emotion recognition technology is added to the voice interaction device, which can recognize the emotional state of students when communicating with virtual patients, and give corresponding prompts and guidance to help students better control their emotions and improve communication effects. The action interaction device adopts bioelectric induction technology, which can sense the subtle changes in students' muscle movements and achieve more accurate and natural action capture.

[0013] Preferably, the real-time feedback mechanism of the intelligent feedback module sets multiple prompt methods for common errors, including flashing prompts of different colors and specific voice alarms, which are convenient for students to quickly identify the types of problems.

[0014] Preferably, the case management module uses blockchain technology to store case data, ensuring the authenticity, immutability and traceability of cases, and introducing an intelligent recommendation algorithm. In addition to based on students' learning situations, it also combines students' interest preferences to recommend more targeted cases for students.

[0015] Preferably, it also includes a teacher management terminal. Teachers can view students' learning progress and evaluation reports on the management terminal, manage students in groups, and manually adjust case allocation according to teaching needs.

[0016] Preferably, the case management module includes a case base update mechanism that regularly collects the latest clinical cases and medical knowledge and comprehensively updates the case base every two months to ensure the timeliness of the cases.

[0017] Preferably, the nursing teaching system supports multi-platform use, including but not limited to the PC side and mobile terminals. Students can log in to the system through different devices for learning and training, and the system can automatically synchronize learning data.

[0018] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0019] 1. The present invention utilizes virtual reality, augmented reality technologies and multi-agent systems to highly restore the tense and complex atmosphere in the emergency room, dynamically simulate the critical and diverse patient conditions. Students can deeply experience the pressure of time urgency therein, exercise the ability to quickly and accurately collect patient condition information, and efficiently convey treatment plans and nursing measures while calming the patient's emotions, greatly improving the nurse-patient interaction and emergency handling capabilities, effectively shortening the adaptation period for entering clinical practice, especially working in the emergency room, ensuring the efficiency and quality of nursing work, and reducing the potential risks of patient treatment.

[0020] 2. The present invention accurately presents the layout of the emergency room ward, medical equipment and noisy background sounds, and cooperates with the multi-agent system to truly simulate the patient condition, creating an immersive learning environment for students. Students are like being in a real emergency room, facing the dynamically changing patient conditions. This highly realistic simulation scenario enhances the immersion of learning, enabling students to better combine theoretical knowledge with practice and deepen their understanding and mastery of nursing work.

[0021] 3. In the present invention, the case management module combines the learning progress, ability level and interest preferences of students, uses intelligent recommendation algorithms to allocate cases, and ensures the authenticity, reliability and traceability of cases through blockchain technology. The intelligent feedback module uses big data analysis to provide personalized horizontal comparative analysis for students, and optimizes the evaluation criteria based on students' feedback and usage conditions. This series of measures realizes personalized teaching, meets the diverse learning needs of different students, and improves the learning effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of the system architecture in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0023] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0024] Embodiment 1

[0025] As shown below: a nurse-patient interactive nursing teaching system, the nursing teaching system includes a scenario simulation module, an interaction module, an intelligent feedback module, and a case management module; Figure 1 As shown below: a nurse-patient interactive nursing teaching system, the nursing teaching system includes a scenario simulation module, an interaction module, an intelligent feedback module, and a case management module;

[0026] The scenario simulation module uses virtual reality and augmented reality technologies to restore the emergency room environment and dynamically simulate the changes in the patient's condition. The changes in the condition include dynamically adjusting the patient's heart rate, blood pressure, respiratory rate, pain level, and consciousness state in real time according to different emergency conditions;

[0027] The interaction module includes a voice interaction device and an action interaction device. The voice interaction device realizes voice communication between students and virtual patients through a microphone and a speaker, accurately recognizes students' voice commands and generates responses according to preset logic. The action interaction device includes a handle and gloves containing sensors, which can capture students' actions in real time and feedback the operation results for students to interact with items in the virtual scene;

[0028] The intelligent feedback module is used to monitor students' language expressions, action behaviors, and operation accuracies in real time when students interact with virtual patients. When problems are found, they are immediately feedback through voice prompts and screen displays. After the interaction ends, a comprehensive evaluation of students' performances is carried out, and a detailed evaluation report including scores in aspects such as nurse-patient communication, condition judgment, and nursing operations, as well as advantages, disadvantages, and improvement suggestions, is generated;

[0029] The case management module includes a case library of different types of emergency cases. The cases cover condition descriptions, patient background information, and key nursing points, and automatically allocate appropriate-difficulty cases according to students' learning progress and ability levels, and can dynamically adjust the difficulty of subsequent cases based on students' performances.

[0030] The scenario simulation module adopts a disease condition simulation technology based on a multi-agent system. Multiple autonomous agents respectively simulate different physiological systems of the human body and work together through complex interaction rules. According to students' operations and preset initial disease condition conditions, the simulation parameters are adjusted in real time and autonomously to simulate the development of the disease condition, and the interactions between various physiological systems during the development of the disease can be clearly shown.

[0031] Emotion recognition technology is added to the voice interaction device, which can recognize the emotional state of students when communicating with virtual patients and give corresponding prompts and guidance to help students better control their emotions and improve the communication effect. The action interaction device adopts bioelectric induction technology, which can sense the subtle changes in students' muscle movements and achieve more accurate and natural action capture.

[0032] The real-time feedback mechanism of the intelligent feedback module sets multiple prompt methods for common errors, including flashing prompts of different colors and specific voice alarms, which are convenient for students to quickly identify the types of problems.

[0033] The case management module uses blockchain technology to store case data, ensuring the authenticity, immutability, and traceability of cases. It also introduces an intelligent recommendation algorithm that, in addition to considering students' learning situations, combines their interest preferences to recommend more targeted cases to students.

[0034] It also includes a teacher management terminal where teachers can view students' learning progress and assessment reports, manage student groups, and manually adjust case allocation according to teaching needs.

[0035] The case management module includes a case library update mechanism that regularly collects the latest clinical cases and medical knowledge and comprehensively updates the case library every two months to ensure the timeliness of cases.

[0036] The nursing teaching system supports multi-platform use, including but not limited to the PC side and mobile terminals. Students can log in to the system through different devices for learning and training, and the system can automatically synchronize learning data.

[0037] Specifically, teachers, through the teacher management terminal, based on teaching objectives and their understanding of students, manually allocate suitable emergency cases for students from the case library of the case management module, or the case management module uses an intelligent recommendation algorithm to automatically allocate suitable cases by combining students' past learning progress, ability levels, and interest preferences. At the same time, the case management module, according to the established case library update mechanism, collects the latest clinical cases and medical knowledge every two months to complete a comprehensive update of the case library and ensure the timeliness of cases;

[0038] Students log in to the nurse-patient interactive nursing teaching system and can enter through different devices such as the PC side and mobile terminals. The scenario simulation module uses virtual reality and augmented reality technologies to quickly construct a highly restored emergency room environment, including a realistic ward layout, various medical devices, and noisy background sounds. At the same time, the disease simulation technology based on the multi-agent system starts to operate. Multiple autonomous agents respectively simulate different human physiological systems and, according to the preset initial disease conditions and students' subsequent operations, work together through complex interaction rules to autonomously adjust simulation parameters in real time and dynamically simulate the changes in patients' conditions, such as adjusting the patient's heart rate, blood pressure, respiratory rate, pain level, and consciousness state in real time according to different emergency diseases.

[0039] During this process, students operate with the help of the interaction module. The voice interaction device uses a microphone and a speaker to enable voice communication between students and virtual patients. The system accurately recognizes students' voice commands and generates responses according to preset logic. At the same time, emotion recognition technology real-time recognizes the emotional states of students during communication with virtual patients, such as nervousness, anxiety, etc., and gives corresponding tips and guidance to help students better control their emotions and improve communication effects. The motion interaction device, namely the handle and glove containing sensors, uses bioelectric induction technology to sense the subtle motion changes of students' muscles, accurately capture students' motions, control the error within an extremely small range, and feed back the operation results to the system for students to interact with items in the virtual scene, such as accurately recognizing the change in the pressing force of the subtle hand movements during nursing operations;

[0040] The intelligent feedback module operates throughout the process. When students interact with virtual patients, it real-time monitors whether students' language expressions are clear and accurate, whether their action behaviors are standardized, and the accuracy of their operations. Once a problem is found, it immediately uses various methods such as voice prompts, different color flashing prompts on the screen display, and specific voice alarms to facilitate students to quickly identify the type of problem. When the interaction ends, the intelligent feedback module comprehensively evaluates students' performances and generates a detailed evaluation report including scores in aspects such as nurse-patient communication, condition judgment, and nursing operations, as well as advantages, disadvantages, and improvement suggestions.

[0041] The embodiments disclosed in the present invention are preferred embodiments, but not limited thereto. Those of ordinary skill in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not depart from the spirit of the present invention, they are within the protection scope of the present invention.

Claims

1. An interactive nursing teaching system for nurses and patients, characterized in that, The nursing teaching system includes a scenario simulation module, an interaction module, an intelligent feedback module, and a case management module; The scenario simulation module uses virtual reality and augmented reality technologies to restore the emergency room environment and dynamically simulate the changes in the patient's condition. The changes in the condition include dynamically adjusting the patient's heart rate, blood pressure, respiratory rate, pain level, and consciousness state in real time according to different emergency conditions; The interaction module includes a voice interaction device and an action interaction device. The voice interaction device realizes voice communication between students and virtual patients through a microphone and a speaker, accurately recognizes students' voice commands, and generates responses according to preset logic. The action interaction device includes a handle and gloves with sensors, which can capture students' actions in real time and feedback the operation results for students to interact with items in the virtual scenario; The intelligent feedback module is used to monitor students' language expressions, action behaviors, and operation accuracy in real time when students interact with virtual patients. When problems are found, they are immediately feedback through voice prompts and screen displays. After the interaction ends, a comprehensive evaluation of students' performance is conducted, and a detailed evaluation report including scores in aspects such as nurse-patient communication, condition judgment, and nursing operations, as well as advantages, disadvantages, and improvement suggestions, is generated; The case management module includes a case library of different types of emergency cases. The cases cover disease descriptions, patient background information, and nursing key points, and automatically allocate cases of appropriate difficulty according to students' learning progress and ability levels, and can dynamically adjust the difficulty of subsequent cases according to students' performance; 2. The nurse-patient interactive nursing teaching system according to claim 1, wherein The scenario simulation module adopts a disease simulation technology based on a multi-agent system. Multiple autonomous agents respectively simulate different physiological systems of the human body, work together through complex interaction rules, and according to students' operations and preset initial disease conditions, autonomously adjust simulation parameters in real time to simulate the development of the disease, and can clearly show the interactions between various physiological systems during the development of the disease; 3. The interactive nursing teaching system for nurses and patients according to claim 1, wherein, Emotion recognition technology is added to the voice interaction device, which can recognize the emotional state of students when communicating with virtual patients and give corresponding prompts and guidance to help students better control their emotions. The action interaction device uses bioelectric induction technology to sense the subtle changes in students' muscle movements and achieve more accurate and natural action capture; 4. The interactive nursing teaching system for nurses and patients according to claim 1, characterized in that The real-time feedback mechanism of the intelligent feedback module sets multiple prompt methods for common errors, including different color flashing prompts and specific voice alarms, which are convenient for students to quickly identify the types of problems; 5. The interactive nursing teaching system for nurses and patients according to claim 1, characterized in that, The case management module uses blockchain technology to store case data, ensuring the authenticity, immutability, and traceability of cases, and introducing an intelligent recommendation algorithm. In addition to based on students' learning situations, it also combines students' interest preferences to recommend more targeted cases for students; 6. The interactive nursing teaching system for nurses and patients according to claim 1, characterized in that, It also includes a teacher management terminal. Teachers can view students' learning progress and evaluation reports on the management terminal, conduct group management on students, and manually adjust case allocation according to teaching needs; 7. An interactive nursing teaching system for nurses and patients according to claim 1, characterized in that, The case management module includes a case library update mechanism, which regularly collects the latest clinical cases and medical knowledge, and conducts a comprehensive update of the case library every two months to ensure the timeliness of the cases; 8. The interactive nursing teaching system for nurses and patients according to claim 1, characterized in that, The described nursing teaching system supports multi-platform use, including but not limited to the PC side and mobile terminals. Students can log in to the system through different devices for learning and training, and the system can automatically synchronize learning data.

Images