Precise neurology department nursing thousand-pre-nursing method

Abstract

The invention discloses a precise neurology department nursing thousand-pre-nursing method. The method comprises the following steps of 1, collecting and analyzing patient data; 2, making a personalized nursing plan; 3, implementing dynamic monitoring and feedback; 4, implementing virtual reality psychological intervention; and 5, effect evaluation and continuous improvement are carried out. According to the technical scheme, by effectively integrating the multi-dimensional patient data, the personalized level of the nursing plan can be remarkably improved. The change not only enables the nursing scheme to be more targeted, but also can perform dynamic adjustment according to the real-time feedback and physiological change of the patient to improve the treatment effect, and under the support of precise nursing, introduction of the virtual reality technology provides a brand new solution for psychological intervention. Patients are subjected to psychological training in an immersive environment, anxiety and pressure can be effectively reduced, and the sense of participation and interactivity of treatment are enhanced. By means of the mode, the limitation of time and space is broken through, and the patient can conduct self-adjustment in a more relaxed state.

Description

Technical Field

[0001] The present invention relates to the technical field of neurology nursing, and specifically provides a precise neurology nursing intervention method. Background Art

[0002] In the current field of neurology nursing, traditional nursing methods usually rely on doctors' experience and subjective judgment, lacking systematic data support. This results in nursing plans often unable to fully consider the individual differences of patients, which may in turn affect the treatment effect. For example, although clinical assessment tools such as questionnaires and scales can provide certain data, it is difficult to fully integrate the multi-dimensional information of patients, especially in aspects such as mental health and living habits. In addition, most existing psychological intervention measures are mainly face-to-face consultations, which cannot meet the needs of all patients, especially with limitations in time and space. In recent years, the rapid development of big data and artificial intelligence technologies has brought new opportunities to neurology nursing. By collecting and analyzing patients' historical data, real-time monitoring of physiological indicators, and applying machine learning algorithms, more precise personalized nursing plans can be achieved. At the same time, the application of virtual reality technology has also gradually entered the field of mental health, which can provide immersive treatment experiences for patients and help relieve anxiety and stress. Combining these two advanced technologies can fundamentally change the traditional nursing mode, improve the effectiveness of nursing and patient satisfaction, and achieve a higher level of precise nursing.

[0003] However, there are still significant deficiencies in the existing technology, such as:

[0004] In the existing technology: Traditional neurology nursing lacks an effective data integration mechanism and often can only rely on patients' subjective descriptions and doctors' experience judgments, resulting in non-personalized nursing plans. Traditional psychological intervention methods mainly focus on face-to-face consultations, which are difficult to meet the time and space requirements of all patients and often lack interactivity and a sense of participation. Summary of the Invention

[0005] The purpose of the present invention is to provide a precise neurology nursing intervention method to solve the problems raised in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solutions:

[0007] A precise neurology nursing intervention method includes the following steps:

[0008] Step 1: Patient data collection and analysis;

[0009] Step 2: Formulation of personalized nursing plan;

[0010] Step 3: Implement dynamic monitoring and feedback;

[0011] Step 4: Implementation of virtual reality psychological intervention;

[0012] Step 5: Effect evaluation and continuous improvement.

[0013] Preferably, the step 1: patient data collection and analysis specifically includes:

[0014] Data collection platform construction: Choose a safe and reliable electronic medical record system to integrate the patient's basic information, historical medical records, treatment process, living habits and other data;

[0015] Data standardization and cleaning: standardize the collected data to ensure the consistency and comparability of data from different sources, clean up erroneous information in the data, and ensure the accuracy of the data;

[0016] Big data analysis: Use data mining tools to analyze data, identify common characteristics, potential risk factors, and psychological states of patients, and combine machine learning algorithms to predict possible complications and psychological problems that patients may experience.

[0017] Preferably, the step 2: formulating a personalized care plan specifically includes:

[0018] Develop personalized care plans: Based on the results of data analysis, develop personalized care plans for each patient, including medical plans, lifestyle adjustments, and psychological intervention measures. The care plans must cover multiple dimensions such as physiology, psychology, and social support to ensure comprehensiveness;

[0019] Nursing team collaboration: Form an interdisciplinary nursing team and hold regular meetings to discuss personalized care plans to ensure that all professionals have a full understanding of the patient's condition; incorporate the patient's mental health into the care plan to ensure the coordination of psychological and physical treatments.

[0020] Preferably, the step three: implementing dynamic monitoring and feedback specifically includes:

[0021] Application of wearable devices: Patients are equipped with wearable devices to monitor physiological indicators in real time and set thresholds. If the physiological indicators exceed the normal range, an alarm will be automatically issued and the nursing team will be notified;

[0022] Dynamic adjustment of care plans: Based on wearable device data and patient feedback, the effectiveness of the care plan is regularly evaluated. If problems are found, the care plan is adjusted in a timely manner to ensure the flexibility and adaptability of the care plan.

[0023] Preferably, the step 4: implementation of virtual reality psychological intervention specifically includes:

[0024] Creation of VR environment: Develop a virtual reality platform, construct various natural and social scenarios, ensure the immersion and interactivity of the virtual environment, enabling patients to conduct various psychological trainings therein;

[0025] Design of personalized psychological training programs: According to the psychological state of patients, formulate suitable VR psychological training programs, such as anxiety management, stress release, etc. Before each training, use the data analysis results to adjust the training content to ensure pertinence;

[0026] Implementation and feedback communication: Arrange at least one VR psychological training per week, accompanied by professional psychotherapists for face-to-face support. After each training, collect the feedback of patients, analyze their performance during the training, and optimize for subsequent trainings.

[0027] Preferably, step five: Effect evaluation and continuous improvement specifically includes:

[0028] Regular evaluation: Evaluate the physical and mental states of patients monthly, quantify using standardized scales, summarize the implementation effects of the nursing plan, analyze the data, and identify significantly effective intervention measures and existing problems;

[0029] Continuous improvement mechanism: According to the evaluation results and patient feedback, continuously optimize the personalized nursing plan and VR psychological training programs, form a closed-loop management, and ensure continuous improvement of the nursing quality and effects during the implementation process.

[0030] Compared with the prior art, the beneficial effects of the present invention are:

[0031] 1. By effectively integrating multi-dimensional patient data, this technical solution can significantly improve the personalization level of the nursing plan. This change not only makes the nursing plan more targeted but also enables dynamic adjustment according to the real-time feedback and physiological changes of patients, thereby enhancing the treatment effect. With the support of precise nursing, the health management of patients becomes more scientific, and the medical staff team can identify problems and make corresponding adjustments in a short time, ultimately improving the overall treatment experience and satisfaction of patients;

[0032] 2. The introduction of virtual reality technology provides a new solution for psychological intervention. Patients can effectively reduce anxiety and stress and enhance the sense of participation and interactivity in treatment by conducting psychological training in an immersive environment. This method not only breaks through the limitations of time and space but also allows patients to make self-adjustments in a more relaxed state. Through this innovative psychological intervention means, the mental health level of patients has been significantly improved, laying a foundation for comprehensive rehabilitation and effectively solving the deficiencies of traditional psychological interventions. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] Figure 1 It is a flowchart of the method of the present invention. Detailed implementation manners

[0034] 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 the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0035] Please refer to Figure 1 , the present invention provides a technical solution:

[0036] A precise neurological nursing intervention method includes the following steps:

[0037] Step 1: Patient data collection and analysis;

[0038] Step 2: Formulation of personalized nursing plan;

[0039] Step 3: Implementation of dynamic monitoring and feedback;

[0040] Step 4: Implementation of virtual reality psychological intervention;

[0041] Step 5: Effect evaluation and continuous improvement.

[0042] Step 1: Patient data collection and analysis, specifically including:

[0043] Construction of data acquisition platform: Select a safe and reliable electronic medical record system to integrate data such as the patient's basic information, historical medical records, treatment process, and living habits;

[0044] The electronic medical record system in this embodiment can be, for example, Epic or Cerner. This system should have the ability to integrate data and be able to centrally manage the patient's basic information (such as name, age, gender), historical medical records (including past medical history, family medical history), treatment process (current treatment, medication situation), and living habits (such as diet, exercise, mental state). The system needs to comply with relevant privacy and data protection regulations to ensure the safety of patient information. In addition, the platform should support multiple data input methods, including manual entry by doctors, self-report by patients, and automatic upload from other medical devices, so as to achieve comprehensive data coverage.

[0045] Data standardization and cleaning: Standardize the collected data to ensure the consistency and comparability of data from different sources, and clean the error information in the data to ensure the accuracy of the data;

[0046] This includes unifying the formats of patient data from different sources, such as standardizing date formats, units, etc., to ensure data consistency and comparability. At the same time, data cleaning work must be strictly carried out to identify error information, missing values, and outliers in the data, and appropriate measures are taken for correction or deletion. This process ensures data accuracy and provides a reliable basis for subsequent analysis.

[0047] Big data analysis: Use data mining tools for data analysis to identify common characteristics, potential risk factors, and psychological states of patients. Combine machine learning algorithms to predict possible complications and psychological problems of patients.

[0048] Through machine learning algorithms, the system can identify common characteristics, potential risk factors, and psychological states of patients. Specifically, the analysis can reveal common health problems, risks brought by lifestyle habits, and impacts on mental health in the patient group. Based on these analyses, the system can predict possible complications and psychological problems of patients, and this prediction ability provides a scientific basis for clinical decision-making.

[0049] Step two: Formulation of personalized care plans, specifically including:

[0050] Formulate personalized care plans: According to the data analysis results, formulate personalized care plans for each patient, including medical plans, lifestyle adjustments, and psychological intervention measures. The care plans need to cover multiple dimensions such as physiology, psychology, and social support to ensure comprehensiveness;

[0051] Based on the data analysis results in step one, identify the specific needs of each patient, including physiological status (such as disease type, disease severity), lifestyle (such as eating habits, activity level), and mental health status (such as anxiety, depression level). Through the risk assessment and baseline data of patients, tailor care plans for patients. The specific content of the care plans:

[0052] Medical plans: Include drug management, treatment plans (such as physical therapy, rehabilitation training), and arrangements for regular examinations.

[0053] Lifestyle adjustments: Suggest that patients make adjustments in aspects such as diet, exercise, and work and rest, such as low-salt diet, appropriate exercise, and regular work and rest.

[0054] Psychological intervention measures: Include psychological counseling, cognitive-behavioral therapy, relaxation training, etc., and incorporate the arrangement of virtual reality (VR) intervention.

[0055] Social support: Provide community resources, information on support groups, contact information for volunteer services or family support networks to enhance the patient's social support system.

[0056] Nursing team collaboration: Form an interdisciplinary nursing team, hold regular meetings to discuss personalized nursing plans, and ensure that all professionals have a full understanding of the patient's condition; Incorporate the patient's mental health into the nursing plan to ensure the coordination of psychological and physical treatments.

[0057] Form an interdisciplinary team consisting of doctors, nurses, psychotherapists, dietitians, and social workers to ensure that each team member can provide diverse support to the patient. Conduct regular team training to improve team members' understanding of their respective fields and enhance their collaboration ability. Hold a regular meeting once a week or every two weeks to discuss the implementation of the personalized nursing plan, review the patient's progress and feedback. Through centralized discussion, ensure that all professionals have a full understanding of the patient's condition changes and treatment responses, and adjust the nursing plan in a timely manner. Ensure that there are dedicated mental health assessment and intervention links in the nursing plan to avoid the disconnection between physical and psychological treatments. At each patient follow-up visit, assess the patient's mental state and adjust the psychological treatment plan according to the changes;

[0058] Personalized nursing plans can better meet the patient's needs, promote the patient's physical health and psychological recovery. The care and support felt by the patient are more explicit, which can improve their trust and satisfaction with the treatment. Data-driven nursing programs can provide rich cases and data for subsequent clinical research, thus promoting the further development of the nursing field.

[0059] Step 3: Implement dynamic monitoring and feedback, specifically including:

[0060] Application of wearable devices: Equip the patient with wearable devices to monitor physiological indicators in real time, set thresholds, and if the physiological indicators exceed the normal range, automatically send an alarm and notify the nursing team;

[0061] Equip the patient with suitable wearable devices (such as smartwatches, health monitoring bracelets) to ensure that the devices can monitor key physiological indicators in real time, such as heart rate, blood pressure, blood oxygen saturation, sleep quality, etc. According to the patient's specific situation, set the normal range and thresholds of physiological indicators. For example, an alarm is triggered when the heart rate exceeds 100 beats per minute or is lower than 60 beats per minute. When the physiological indicators monitored by the device exceed the normal range, automatically send an alarm to notify the patient and the nursing team to ensure timely response to potential health problems; Transmit the data collected by the wearable device to the nursing team's monitoring system in real time via Bluetooth or Wi-Fi to ensure the immediate availability of the data. Set up a patient health monitoring dashboard for the nursing team to view the changes in the patient's physiological data in real time;

[0062] Dynamic adjustment of the nursing plan: Regularly evaluate the effectiveness of the nursing plan based on the wearable device data and patient feedback. If problems are found, adjust the nursing plan in a timely manner to ensure the flexibility and adaptability of the nursing plan.

[0063] During each nursing team meeting, review the data from wearable devices, evaluate it in combination with the patient's feedback and clinical manifestations, use standardized assessment tools (such as symptom rating scales) to quantify the nursing effect, ensure the scientific nature of the assessment. If abnormal fluctuations in physiological indicators or negative changes in the patient's feedback are found, the nursing team should quickly analyze the reasons and adjust the nursing plan according to the actual situation. For example, if the patient's heart rate remains high, consider adjusting the drug dosage, increasing psychological intervention, or suggesting changes in daily activities. Establish a flexible nursing adjustment mechanism to ensure that patients can receive timely support and adjustment during the nursing process. Through continuous dynamic monitoring, ensure that the nursing plan can be optimized in a timely manner according to the changes in the patient's health status;

[0064] The real-time monitoring and alarm mechanism can promptly detect potential health risks, reduce the occurrence of complications, and improve patient safety. The nursing team can make faster responses based on real-time data, optimize resource allocation, and improve the efficiency of nursing. The data feedback from dynamic monitoring provides a basis for the continuous improvement of the nursing plan, promoting further research and practical innovation. Traditional nursing often relies on regular examinations and manual monitoring, while the real-time monitoring provided by wearable devices can promptly capture the health changes of patients, reducing delays. The dynamic adjustment based on data makes the nursing plan more scientific and reasonable, rather than being adjusted based on experience or observational results, enhancing the effectiveness of nursing.

[0065] Step 4: Implementation of virtual reality psychological intervention, specifically including:

[0066] Creation of the VR environment: Develop a virtual reality platform, construct a variety of natural and social scenarios, ensure the immersion and interactivity of the virtual environment, so that patients can conduct various psychological trainings in it;

[0067] Select a suitable VR technology platform (such as Oculus Rift, HTC Vive, etc.), develop a user-friendly interface, ensure that the operation is simple and easy to understand, create a variety of natural scenarios (such as beaches, forests, mountains) and social scenarios (such as cafes, parks) to enhance immersion, so that patients can conduct psychological trainings in different environments. Utilize high-quality 3D graphics, sound effects, and tactile feedback to enhance the user experience and ensure the realism of the environment. Design interactive functions, such as conversations with virtual characters, interactions with objects in the environment, etc., to enhance the patient's sense of participation and immersion.

[0068] Design of personalized psychological training programs: According to the patient's psychological state, formulate suitable VR psychological training programs, such as anxiety management, stress release, etc. Before each training, use the data analysis results to adjust the training content to ensure pertinence;

[0069] Based on the patient's psychological data (such as anxiety level, stress score) and individual needs, conduct a preliminary assessment to determine the areas that require intervention. Use the data analysis results to develop a personalized VR psychological training program for each patient to ensure the pertinence of the training content. Design a variety of psychological training modules, such as anxiety management, stress relief, emotion regulation, etc. Use the VR environment for simulation training. Before each training, adjust the training content according to the patient's recent psychological state and feedback to ensure the applicability and effectiveness of the training.

[0070] Implementation and feedback communication: Arrange at least one VR psychological training session per week, accompanied by a professional psychotherapist for face-to-face support. After each training session, collect the patient's feedback, analyze their performance during the training, and optimize for subsequent training.

[0071] Arrange at least one VR psychological training session per week to ensure the patient's continuous participation and practice. Conduct the training accompanied by a professional psychotherapist to provide face-to-face support and guidance to help the patient better cope with psychological challenges in the VR environment. After each training session, collect the patient's feedback, including their feelings, understanding of the training content, changes in psychological state, etc. Analyze the patient's performance during the training, evaluate the effectiveness of the training in combination with the data analysis results, and make corresponding optimization adjustments for subsequent training;

[0072] Traditional methods such as face-to-face counseling may lack a sense of participation, while VR technology can provide a more immersive experience, increasing the patient's engagement. Patients can safely face their anxiety sources and stress sources in the virtual environment for effective scenario simulation and practice without having to bear the pressure in real life. Adjust the training content according to the patient's specific needs and status to make the intervention more accurate and effective. The immersive experience provided by VR technology can more effectively help patients manage anxiety, relieve stress, and improve the treatment effect. Through interactive and interesting training content, improve the patient's enthusiasm and willingness for continuous participation, enhance the stickiness of the treatment. Based on regular feedback and data analysis, continuously optimize the training content and methods to achieve continuous improvement and improve the overall quality of care.

[0073] Step Five: Effect evaluation and continuous improvement, specifically including:

[0074] Regular evaluation: Evaluate the patient's physical and mental state monthly, quantify it using a standardized scale, summarize the implementation effect of the nursing plan, analyze the data, and identify the significantly effective intervention measures and existing problems;

[0075] Conduct a comprehensive assessment of the patient's physical and mental states monthly, quantify it using standardized scales, collect and input the patient's physical data such as heart rate, blood pressure, blood oxygen level, etc., and the results of psychological assessments such as emotional state, anxiety level, and quality of life indicators. Conduct statistical analysis on the collected data to identify the implementation effects of the nursing plan, evaluate the significance of various intervention measures, summarize the intervention measures with significant effects, identify potential problems and deficiencies, so as to make targeted adjustments. Conduct a comprehensive assessment from the three dimensions of the patient's physical, mental, and social support to ensure a comprehensive understanding of the patient's overall health status. Regularly communicate the assessment results with the patient to ensure that they understand their progress and areas that need attention.

[0076] Continuous improvement mechanism: According to the assessment results and patient feedback, continuously optimize the personalized nursing plan and VR psychological training program to form a closed-loop management to ensure continuous improvement of the nursing quality and effects during the implementation process.

[0077] According to the monthly assessment results, optimize the personalized nursing plan and VR psychological training program targeted, such as adjusting the training content, adding certain intervention measures or changing the nursing strategy. For the intervention measures with insignificant effects, analyze the reasons and make necessary adjustments or replacements. Establish a closed-loop management mechanism to form a cycle of "assessment - feedback - optimization - re-assessment" to ensure the continuous improvement of the nursing quality. Set specific improvement goals and track the improvement effects in subsequent assessments to verify the effectiveness of the optimization measures. Encourage patients to actively feedback their experiences and feelings, collect opinions through forms such as questionnaires and interviews to provide a basis for continuous improvement. The nursing team holds regular meetings to summarize patient feedback and assessment results, brainstorm ideas, and form improvement plans;

[0078] Traditional methods often rely on subjective judgments, while data-based assessments can provide objective bases, enhance the scientificity and effectiveness of intervention measures. Through regular assessments and feedback, the nursing plan can be adjusted in a timely manner to avoid the long-term use of ineffective intervention measures and improve the overall curative effect. Conduct a comprehensive assessment of multiple dimensions such as physical, mental, and social support to ensure that patients receive comprehensive care rather than just single treatment;

[0079] Through regular assessments and feedback, continuously optimize the nursing plan to ensure the scientificity and effectiveness of the treatment, thereby improving the overall nursing quality of patients. When patients see their progress and improvement, it can enhance their confidence and compliance in treatment, and improve the treatment effect. Through a feedback mechanism involving multiple parties, it promotes cooperation and communication among the nursing teams, encourages innovation, and promotes the further development of the nursing plan, forming an effective closed-loop management to ensure that patients can receive continuous attention and support during the treatment cycle and promote the success of long-term health management.

[0080] Although embodiments of the present invention have been shown and described, those of ordinary skill in the art will appreciate that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A precision neurology nursing intervention method, characterized in that: The steps include: Step 1: Patient data collection and analysis; Step 2: Development of a personalized care plan; Step 3: Implement dynamic monitoring and feedback; Step 4: Implementation of virtual reality psychological intervention; Step 5: Effect evaluation and continuous improvement.

2. A precise neurological nursing intervention method according to claim 1, characterized in that: The step 1: patient data collection and analysis, specifically includes: Data collection platform construction: Choose a safe and reliable electronic medical record system to integrate the patient's basic information, historical medical records, treatment process, living habits and other data; Data standardization and cleaning: standardize the collected data to ensure the consistency and comparability of data from different sources, clean up erroneous information in the data, and ensure the accuracy of the data; Big data analysis: Use data mining tools to analyze data, identify common characteristics, potential risk factors, and psychological states of patients, and combine machine learning algorithms to predict possible complications and psychological problems that patients may experience.

3. A precise neurological nursing intervention method according to claim 2, characterized in that: Step 2: Development of a personalized care plan, specifically including: Develop personalized care plans: Based on the results of data analysis, develop personalized care plans for each patient, including medical plans, lifestyle adjustments, and psychological intervention measures. The care plans must cover multiple dimensions such as physiology, psychology, and social support to ensure comprehensiveness; Nursing team collaboration: Form an interdisciplinary nursing team and hold regular meetings to discuss personalized care plans to ensure that all professionals have a full understanding of the patient's condition; incorporate the patient's mental health into the care plan to ensure the coordination of psychological and physical treatments.

4. A precise neurological nursing intervention method according to claim 3, characterized in that: Step 3: Implement dynamic monitoring and feedback, specifically including: Application of wearable devices: Patients are equipped with wearable devices to monitor physiological indicators in real time and set thresholds. If the physiological indicators exceed the normal range, an alarm will be automatically issued and the nursing team will be notified; Dynamic adjustment of care plans: Based on wearable device data and patient feedback, the effectiveness of the care plan is regularly evaluated. If problems are found, the care plan is adjusted in a timely manner to ensure the flexibility and adaptability of the care plan.

5. A precise neurological nursing intervention method according to claim 1, characterized in that: The fourth step: implementation of virtual reality psychological intervention, specifically includes: Creation of VR environment: Develop a virtual reality platform to build a variety of natural and social scenes to ensure the immersion and interactivity of the virtual environment, so that patients can perform a variety of psychological training in it; Personalized psychological training program design: According to the patient's psychological state, develop appropriate VR psychological training programs, such as anxiety management, stress release, etc. Before each training, use data analysis results to adjust the training content to ensure targeting; Implementation and feedback communication: VR psychological training is arranged at least once a week, accompanied by professional psychotherapists for face-to-face support. After each training session, feedback from patients is collected, their performance in the training is analyzed, and subsequent training is optimized.

6. A precise neurological nursing intervention method according to claim 1, characterized in that: The step five: effect evaluation and continuous improvement, specifically includes: Regular evaluation: Evaluate the patient's physical and psychological status monthly, quantify using standardized scales, summarize the effectiveness of the nursing plan, analyze data, and identify effective interventions and existing problems; Continuous improvement mechanism: Based on the evaluation results and patient feedback, the personalized care plan and VR psychological training program are continuously optimized to form a closed-loop management to ensure continuous improvement of care quality and effectiveness during the implementation process.

Images