Patient nursing strategy optimization system for nursing of liver, gall and pancreas department

Abstract

The invention discloses a patient nursing strategy optimization system for nursing in the department of hepatobiliary and pancreatic, and relates to the technical field of nursing strategy optimization. The nursing strategy optimization platform is in communication connection with a patient information management module, a knowledge base module, a nursing evaluation module, a nursing strategy plan making module, a nursing implementation module, a communication and cooperation module and a nursing effect evaluation module. According to the patient nursing strategy optimization system for nursing in the department of hepatobiliary and pancreatic, data in multiple aspects of physiology, psychology, society and the like of a patient are comprehensively collected and analyzed through the integrated nursing evaluation module, and key indexes such as vital signs, pain degree, nutritional status, sleep quality and the like are monitored and evaluated in real time; in addition, a personalized nursing plan provided by the system is combined with specific requirements and illness state changes of the patient, so that the nursing service better fits the actual condition of the patient.

Description

Technical Field

[0001] The present invention relates to the technical field of nursing strategy optimization, and in particular to a patient nursing strategy optimization system for hepatobiliary and pancreatic internal medicine nursing. Background Art

[0002] Hepatobiliary and pancreatic diseases include hepatitis, cirrhosis, liver cancer, cholecystitis, gallstones, pancreatitis and other types. These diseases have a high incidence and complexity in clinical practice. Patients often show symptoms such as abdominal pain, jaundice, indigestion, nausea, vomiting, and the condition is prone to recurrence. Patients with hepatobiliary and pancreatic diseases often require long-term treatment and care. Good nursing management can not only alleviate the patient's pain, but also improve the patient's quality of life. With the continuous advancement of medical technology and the improvement of patients' health awareness, patients' rehabilitation treatment has put forward higher requirements on the quality of nursing.

[0003] In the existing technology, the traditional nursing model can no longer meet the needs of patients. In the context of limited medical resources, how to rationally allocate nursing resources through data analysis, achieve a comprehensive assessment of the patient's condition, formulate personalized nursing plans, and fine-tune the management of the nursing process, and achieve optimal allocation of nursing resources to improve the overall efficiency of nursing work is the problem we need to solve. Summary of the invention

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: A patient nursing strategy optimization system for hepatobiliary and pancreatic internal medicine nursing, comprising: a nursing strategy optimization platform, wherein the nursing strategy optimization platform is communicatively connected with a patient information management module, a knowledge base module, a nursing assessment module, a nursing strategy plan formulation module, a nursing implementation module, a communication and collaboration module, and a nursing effect evaluation module, wherein the modules are electrically connected with each other;

[0005] The patient information management module is used to collect the patient's basic information, including name, age, gender, diagnosis, and hospitalization number, and record the patient's medical history, allergy history, and surgical history. It also updates the patient's vital signs, examination results, and treatment progress data in real time to ensure the comprehensiveness and timeliness of patient information and provide basic data support for subsequent nursing evaluation and planning;

[0006] The knowledge base module is used to store knowledge related to hepatobiliary and pancreatic internal medicine nursing and drug management treatment models, and uses natural language processing technology to analyze and organize medical literature to form a structured knowledge base, which includes disease knowledge, nursing technology, drug knowledge, etc., and sets association rules to discover the association between different nursing measures and the relationship between nursing measures and patient rehabilitation effects, providing nurses with rich knowledge resources and online learning platforms to improve the professional level of nurses. At the same time, through data analysis, it provides a basis for improving nursing quality;

[0007] The nursing assessment module is used to conduct a comprehensive nursing assessment of the patient, including physical condition (vital sign data), psychological state (using manual scoring), pain level, nutritional status, sleep quality, and determine the patient's nursing needs and risk level based on the assessment results, providing a basis for the subsequent formulation of a personalized nursing plan;

[0008] The nursing strategy planning module is used to formulate a personalized nursing plan based on the patient's assessment results and diagnosis, including nursing goals, nursing measures, and nursing schedules. The nursing plan can be dynamically adjusted according to changes in the patient's condition to improve the pertinence and effectiveness of nursing and ensure the timeliness and accuracy of the nursing plan;

[0009] The nursing implementation module is used to implement nursing measures according to the nursing plan, including condition observation, drug treatment, life care, and psychological care, and record relevant information during the nursing implementation process to ensure the effective implementation of nursing measures. At the same time, it records key information during the nursing process to provide a basis for subsequent nursing effect evaluation and plan adjustment;

[0010] The communication and collaboration module is used to provide an online communication platform to promote communication and collaboration between nurses and doctors, patients and their families, timely feedback on patients' condition changes and nursing needs, promote multidisciplinary teamwork, and improve nursing quality and patient satisfaction;

[0011] The nursing effect evaluation module is used to regularly evaluate the nursing effect, including the patient's recovery status, complication occurrence, and satisfaction, and adjust the nursing plan according to the evaluation results, optimize the nursing strategy, promote continuous improvement of nursing quality, and improve the patient's recovery effect and the overall quality of nursing services.

[0012] Preferably, in the patient information management module, the process of collecting the patient's basic information and medical information includes:

[0013] The medical staff manually inputs the patient's basic information, including name, age, gender, diagnosis, and hospitalization number, or imports it from the hospital information system. The input information is initially verified to ensure the accuracy and completeness of the data. The patient's medical history records are obtained through the electronic medical record system. The medical history records include the patient's previous medical history, allergy history, and surgical history, so as to understand the patient's overall health status and potential risks;

[0014] Use medical equipment (such as monitors, sphygmomanometers, etc.) to monitor the patient's vital signs in real time, obtain the patient's body temperature, pulse, respiratory rate, and blood pressure data, and synchronize the monitored vital signs data to the patient information management module to ensure real-time data updates;

[0015] Enter the patient's various examination results, including blood tests and imaging tests, and integrate them into the patient information management module through the electronic medical record system;

[0016] Track the patient's treatment progress, encrypt all patient information, set up strict authority management, and only authorized medical staff can access patient information to ensure data security. Treatment progress records the treatment measures received by the patient, including drug therapy, surgical treatment, and physical therapy. As the patient's treatment progresses, the treatment progress is updated, including treatment effects, side effects, and complications;

[0017] Integrate the collected patient information into complete medical records, ensure that patient information can be shared safely and efficiently between different departments and divisions to facilitate collaborative care, and generate patient health reports, including vital signs trends, test results summaries, and treatment progress, providing medical staff with detailed reports to support care assessment and plan making.

[0018] Preferably, in the knowledge base module, the process of forming the knowledge base includes:

[0019] Collect knowledge related to hepatobiliary and pancreatic nursing from various medical literature, textbooks, and clinical research reports, including disease knowledge, nursing techniques, and drug knowledge, and integrate nursing knowledge data from different sources;

[0020] Use natural language processing technology to perform preprocessing operations such as text cleaning, word segmentation, part-of-speech tagging, and syntactic analysis on the collected nursing knowledge data, extract key information from the preprocessed nursing knowledge data, and convert the extracted information into structured data for easy storage and retrieval. The key information includes disease name, symptoms, nursing measures, drug name, mechanism of action, usage and dosage, and adverse reactions;

[0021] Organize structured data according to the dimensions of disease classification, nursing process, and drug classification, and establish a knowledge system, including the definition of the disease, symptoms, diagnostic criteria, treatment guidelines, and nursing measures, to build a structured knowledge base. The knowledge base content includes disease knowledge, nursing technology, and drug knowledge;

[0022] By using association rule mining technology to analyze the associations between different nursing measures, nursing staff can integrate the synergy of multiple measures when formulating nursing plans, and establish a nursing measure prediction model to analyze the relationship between nursing measures and patient rehabilitation effects, providing a basis for optimizing nursing strategies. Among them, the association rule mining technology is the Apriori algorithm, and the nursing measure prediction model is built based on the decision tree model.

[0023] Establish a regular update mechanism to regularly update the knowledge base content to reflect the latest medical research results and clinical practices, maintain the accuracy and timeliness of the knowledge base, ensure that the information provided is up to date, and perform version management on the knowledge base, recording the content and time of each update for backtracking and review;

[0024] Provide a query interface for medical staff to search for relevant nursing knowledge, and provide an online learning platform for medical staff, allowing them to access the knowledge base for learning anytime and anywhere, set up knowledge testing units, and test the learning outcomes of medical staff by answering questions.

[0025] Preferably, the process of analyzing the associations between different nursing measures by association rule mining technology includes:

[0026] The nursing measures data in the knowledge base is converted into a transaction database. Each transaction contains a series of nursing measures, and the minimum support and minimum confidence thresholds are set according to the patient status.

[0027] Traverse the transaction database, calculate the support of each item, generate all frequent item sets that meet the minimum support, generate all rules from the frequent item sets, calculate the confidence of each rule, and filter and retain the rules with confidence greater than or equal to the minimum confidence as strong association rules;

[0028] For each strong association rule, calculate the lift to evaluate the actual value of the association rule. A rule with a lift greater than 1 indicates a positive correlation, and a larger value indicates a stronger correlation, while a value less than 1 indicates a negative correlation.

[0029] Based on the improvement criteria, the association rules that are valuable for nursing plan formulation are screened and applied to the formulation of nursing plans;

[0030] The selected association rules and key features that affect the patient's rehabilitation effect are used in combination with the decision tree algorithm to build a nursing measure prediction model;

[0031] The trained nursing measure prediction model is applied to the formulation of actual nursing plans to analyze the relationship between nursing measures and patient rehabilitation effects. For new patient data, the nursing measure prediction model predicts the impact on the patient's rehabilitation effect based on the patient's current condition and outputs recommended nursing measures.

[0032] Preferably, the expression of the support is:

[0033] ;

[0034] in, It is used to measure the frequency of a certain item set in the total transaction. is the set of predecessor items in the transaction, is the set of successor items in the transaction, and Indicates different nursing measures, is the total number of records of the transaction, To include and The number of records, The value range is , the closer it is to 1, the more frequent the item set is, which means that the item set is very common in all transactions;

[0035] The expression of the confidence is:

[0036] ;

[0037] in, Used to measure In case of occurrence, There is also the possibility that Included in the transaction The number of records, The value range is , the closer to 1, the Under the conditions of occurrence The higher the probability of occurrence;

[0038] The expression of the lifting degree is:

[0039] ;

[0040] in, Used to measure and The degree of direct association, whether there is a real association and not just chance, The successor item set The support of The value range is greater than or equal to 1. When the lift is greater than 1, it indicates and There is a positive correlation between and are independent, and when less than 1, it indicates and There is a negative correlation between them, and the higher the lift, the stronger the association.

[0041] Preferably, in the nursing assessment module, the process of conducting a comprehensive nursing assessment on the patient includes:

[0042] Collect the patient's vital signs data such as body temperature, pulse, respiratory rate, and blood pressure, and set normal range values. For vital signs that exceed the normal range, give corresponding abnormal scores;

[0043] Use pain assessment scales (such as visual analog scale VAS, numerical rating scale NRS, facial expression pain scale FPS-R) to record the patient's self-reported pain experience and the impact of pain on daily life, assess the patient's pain level, divide the patient into different levels according to the assessment results, and give a corresponding pain score;

[0044] Assess the patient's eating habits, weight changes, laboratory nutritional indicators (such as serum albumin, prealbumin, etc.), observe the patient's skin and mucous membrane conditions, assess nutritional status, set different nutritional status levels, and give corresponding nutritional scores;

[0045] By asking patients about their sleep duration, time to fall asleep, ease of falling asleep, and sleep interruptions, sleep assessment tools (such as the Pittsburgh Sleep Quality Index (PSQI)) are used to assess sleep quality, and different levels of sleep quality are assigned corresponding sleep scores.

[0046] All collected data are integrated into the nursing assessment module, and nursing staff evaluate the patient's vital signs, pain level, nutritional status and sleep quality based on the patient's actual situation;

[0047] Summarize the collected assessment data, calculate the abnormal vital signs score, pain score, nutrition score, and sleep score, and build a patient care assessment index based on the patient's age and number of complications to comprehensively assess the patient's condition and determine the patient's physiological, psychological, and social care needs;

[0048] Combined with the range of the patient care assessment index, nursing needs are divided into three levels of nursing needs, namely low, medium and high levels of nursing needs, and the nursing focus at each level is clarified. Combined with the patient's condition and the patient care assessment index, the patient's risk level is divided into five risk levels, namely level 1 risk level, level 2 risk level, level 3 risk level, level 4 risk level and level 5 risk level. Among them, the risk level increases in severity from level 1 to level 5, and the assessment threshold of each risk level is set based on the patient care assessment index.

[0049] Preferably, the expression of the patient care evaluation index is:

[0050] ;

[0051] in, It is a patient care assessment index used to comprehensively assess the patient's care needs. It is the abnormal score of vital signs, which reflects the degree to which the patient's vital signs deviate from the normal range. The pain score is based on the patient's pain rating scale score. Nutrition score, based on the patient's nutritional status assessment, A sleep score based on the patient's assessment of sleep quality. is the patient's age, used to adjust the score, is the number of complications, which indicates the number of other health problems that the patient has besides the primary diagnosis. is the reference value for the number of complications;

[0052] The plurality of nursing demand levels correspond to the plurality of nursing demand thresholds, wherein the nursing demand thresholds include an upper threshold and a lower threshold;

[0053] The plurality of nursing requirement levels and the plurality of nursing requirement thresholds satisfy the following relationship:

[0054] Low level of care needs ; The patient's condition is stable, their self-care ability is good, and they need less nursing resources and intervention;

[0055] Medium care needs level ; Patients may have some chronic diseases or functional disorders and require a certain degree of nursing support and monitoring;

[0056] High care needs level ; The patient's condition is more serious and may require close monitoring and multi-faceted nursing intervention;

[0057] in, Patient Care Assessment Index, is the lower threshold corresponding to the medium nursing demand level and the upper threshold corresponding to the low nursing demand level, The lower threshold corresponding to the high nursing demand level and the upper threshold corresponding to the medium nursing demand level;

[0058] A plurality of risk levels correspond to a plurality of assessment thresholds, wherein the assessment thresholds include an upper threshold and a lower threshold;

[0059] The multiple risk levels and the multiple assessment thresholds satisfy the following relationship:

[0060] Level 1 risk ; The patient's condition is stable, there are no major complications, and the risk is relatively low;

[0061] Secondary risk level ; The patient's condition is relatively stable, but there are some potential risks that need attention;

[0062] Level 3 risk The patient's condition is of moderate risk, with a certain risk of complications, and requires moderately strengthened monitoring and close attention;

[0063] Four risk levels The patient's condition is more serious, with a significant risk of complications and a high risk, requiring close monitoring and intervention;

[0064] Five risk levels The patient is in critical condition and at high risk of complications, requiring urgent or intensive treatment;

[0065] in, Patient Care Assessment Index, is the lower threshold corresponding to the second-level risk level and the upper threshold corresponding to the first-level risk level, is the lower threshold corresponding to the third-level risk level and the upper threshold corresponding to the second-level risk level. is the lower threshold corresponding to the fourth risk level and the upper threshold corresponding to the third risk level. It is the lower threshold corresponding to the fifth risk level and the upper threshold corresponding to the fourth risk level.

[0066] Preferably, in the nursing strategy plan formulation module, the process of formulating a personalized nursing plan includes:

[0067] Traverse the patient's vital signs, pain level, nutritional status and sleep quality assessment data in the nursing assessment module, calculate the patient's nursing needs based on the patient's nursing assessment index, and determine the patient's specific nursing needs level and risk level;

[0068] Analyze the patient's physical, psychological, and social care needs in detail based on the patient's determined care needs and risk levels;

[0069] According to the results of the patient's nursing needs assessment, formulate a personalized nursing plan, including short-term and long-term nursing goals, and specific nursing measures to achieve the nursing goals. The nursing measures include drug therapy, non-drug therapy (such as physical therapy, psychological support), life care, and health education. The nursing plan and nursing measures are dynamically adjusted according to the changes in the patient's condition. The drug treatment plan is planned, including drug selection, dosage, administration time and route. Non-drug treatment measures such as physical therapy, psychological support, rehabilitation training, etc. are planned. Life care measures such as personal hygiene, nutritional support, activity arrangements, etc. are planned. Health education is provided to help patients and their families understand disease management and self-care skills;

[0070] Develops timelines and schedules for nursing interventions as required by the plan of care, and determines the priority and order of execution of nursing interventions to respond to emergency and critical care needs, allocates necessary human, material, and equipment resources, documents the plan of care in detail in the patient's electronic health record system, and ensures that the plan of care is accessible and understood by all health care team members involved in the patient's care.

[0071] Preferably, in the nursing implementation module, the process of executing nursing measures includes:

[0072] Nursing staff will formulate personalized nursing plans based on the nursing strategy planning module, confirm the nursing plan's goals, measures, timetable and resource allocation, and implement various nursing measures, including condition observation, drug treatment, daily care and psychological care;

[0073] During the implementation of nursing care, nursing staff use the electronic health record system to record information about changes in the patient's condition, treatment response, and implementation of nursing measures, which helps to evaluate the effectiveness of nursing measures and provide a basis for adjusting subsequent nursing plans;

[0074] Regularly evaluate the effectiveness of nursing measures, check whether nursing measures are implemented as planned, observe changes in the patient's condition, and compare them with the goals of the nursing plan. Based on the evaluation results, adjust the nursing plan to improve the quality of nursing and ensure the effectiveness and pertinence of nursing measures.

[0075] Preferably, in the communication and collaboration module, the process of providing feedback on the patient's condition changes and nursing needs includes:

[0076] Establish an integrated online communication platform for real-time communication and information sharing among nursing staff, doctors, patients and their families, and configure communication tools such as instant messaging, video conferencing, and shared documents to meet communication needs in different situations;

[0077] Share patient updates, treatment progress, and care plans through online communication platforms, and establish feedback channels for patients and their families to provide real-time feedback;

[0078] Collect and provide feedback on patients' care needs, including pain management, life care, and psychological support, and adjust care plans based on feedback from patients and their families, share patients' medical information, care plans, and treatment progress, and develop the most optimized treatment plan.

[0079] The present invention provides a patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing. It has the following beneficial effects:

[0080] 1. The patient care strategy optimization system for hepatobiliary and pancreatic internal medicine care, through an integrated nursing assessment module, comprehensively collects and analyzes the patient's physiological, psychological, social and other data, and conducts real-time monitoring and evaluation of key indicators such as vital signs, pain level, nutritional status and sleep quality to ensure the timeliness and accuracy of nursing measures. In addition, the personalized care plan provided by the system combines the patient's specific needs and changes in the condition, making the nursing service more in line with the patient's actual situation. Through the online communication platform, patients and their families can understand the patient's condition and nursing progress in real time, which improves transparency and trust.

[0081] 2. The patient care strategy optimization system for hepatobiliary and pancreatic internal medicine care enables more effective allocation and utilization of nursing resources through nursing assessment and plan formulation. It can intelligently recommend corresponding nursing measures and resource allocation based on the patient's nursing needs level and risk level, avoid waste and shortage of resources, predict changes in nursing needs, allocate resources and arrange personnel in advance, and improve the response speed and flexibility of nursing services. BRIEF DESCRIPTION OF THE DRAWINGS

[0082] Figure 1 A diagram of the components of a patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to the present invention;

[0083] Figure 2 Flowchart for conducting a comprehensive nursing assessment of a patient for the present invention. DETAILED DESCRIPTION

[0084] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The embodiments of the present invention are provided for the purpose of illustration and description, and are not intended to be exhaustive or to limit the present invention to the disclosed forms. Many modifications and variations will be apparent to those of ordinary skill in the art. The embodiments are selected and described in order to better illustrate the principles and practical applications of the present invention, and to enable those of ordinary skill in the art to understand the present invention and thereby design various embodiments with various modifications suitable for specific uses.

[0085] The first embodiment, as Figure 1 As shown, the present invention provides a technical solution: a patient nursing strategy optimization system for hepatobiliary and pancreatic internal medicine nursing, comprising: a nursing strategy optimization platform, the nursing strategy optimization platform is communicatively connected with a patient information management module, a knowledge base module, a nursing assessment module, a nursing strategy plan formulation module, a nursing implementation module, a communication and collaboration module, and a nursing effect evaluation module, wherein the modules are connected by electrical signals;

[0086] The patient information management module is used to collect the patient's basic information, including name, age, gender, diagnosis, and hospitalization number. It also records the patient's medical history, allergy history, and surgical history. It updates the patient's vital signs, examination results, and treatment progress data in real time to ensure the comprehensiveness and timeliness of patient information, and provide basic data support for subsequent nursing evaluation and plan formulation. The medical staff manually inputs the patient's basic information, including name, age, gender, diagnosis, and hospitalization number, or imports it from the hospital information system. The input information is preliminarily verified to ensure the accuracy and completeness of the data, and the patient's medical history record is obtained through the electronic medical record system. The medical history record includes the patient's previous medical history, allergy history, and surgical history, so as to understand the patient's overall health status and potential risks. Medical equipment (such as monitors, sphygmomanometers, etc.) is used to monitor the patient's vital signs in real time to obtain the patient's body temperature, pulse, respiratory rate, and blood pressure data, and the monitored vital signs are recorded. The data is synchronized to the patient information management module to ensure real-time data update, input various examination results of the patient, including blood tests and imaging examinations, and integrated into the patient information management module through the electronic medical record system to track the patient's treatment progress, encrypt all patient information, set up strict authority management, and only authorized medical staff can access patient information to ensure data security. Among them, the treatment progress is to record the treatment measures received by the patient, including drug treatment, surgical treatment, physical therapy, and update the treatment progress as the patient's treatment progresses, including treatment effects, side effects, complications, and integrate the collected patient information into complete medical records to ensure that patient information can be safely and efficiently shared between different departments and divisions to facilitate collaborative care, and generate patient health reports, including vital signs trends, examination result summaries, and treatment progress, to provide detailed reports for medical staff to support nursing assessment and plan formulation;

[0087] The knowledge base module is used to store knowledge related to hepatobiliary and pancreatic internal medicine nursing and drug management and treatment models. It uses natural language processing technology to analyze and organize medical literature to form a structured knowledge base, which includes disease knowledge, nursing technology, drug knowledge, etc., and sets association rules to discover the association between different nursing measures and the relationship between nursing measures and patient rehabilitation effects. It provides nurses with rich knowledge resources and online learning platforms to improve the professional level of nurses. At the same time, through data analysis, it provides a basis for improving nursing quality. It collects knowledge related to hepatobiliary and pancreatic internal medicine nursing from various medical literature, textbooks, and clinical research reports, including disease knowledge, nursing technology, and drug knowledge. , and integrate nursing knowledge data from different sources, use natural language processing technology to perform text cleaning, word segmentation, part-of-speech tagging, and syntactic analysis on the collected nursing knowledge data, extract key information from the preprocessed nursing knowledge data, and convert the extracted information into structured data for easy storage and retrieval. The key information includes disease name, symptoms, nursing measures, drug name, mechanism of action, usage and dosage, and adverse reactions. The structured data is organized according to the dimensions of disease classification, nursing process, and drug classification, and a knowledge system is established, including the definition of the disease, symptoms, diagnostic criteria, treatment guidelines, and nursing measures, to construct a structured knowledge base, in which knowledge The library content includes disease knowledge, nursing technology and drug knowledge. Disease knowledge includes the causes, symptoms, diagnostic criteria, and disease stages of common diseases in hepatobiliary and pancreatic internal medicine. Nursing technology covers the methods, steps, precautions, etc. of various nursing operations. Drug knowledge records in detail the mechanism of action, usage and dosage, adverse reactions, contraindications, drug interactions, and other information of various drugs (such as liver-protecting drugs, choleretic drugs, anti-infective drugs, analgesics, etc.). The association between different nursing measures is analyzed through association rule mining technology, and nursing staff are assisted in integrating the synergistic effects of multiple measures when formulating nursing plans. A nursing measure prediction model is established to analyze the relationship between nursing measures and patient rehabilitation effects, in order to optimize nursing care. The strategy provides a basis, among which the association rule mining technology is the Apriori algorithm, and the nursing measure prediction model is built based on the decision tree model. A regular update mechanism is established to regularly update the knowledge base content to reflect the latest medical research results and clinical practices, maintain the accuracy and timeliness of the knowledge base, ensure that the information provided is the latest, and perform version management on the knowledge base, record the content and time of each update for retrospection and review, provide a query interface for medical staff to retrieve relevant nursing knowledge, and provide an online learning platform for medical staff to allow them to access the knowledge base for learning anytime and anywhere, set up a knowledge test unit, and test the learning results of medical staff by answering questions;

[0088] Furthermore, the process of analyzing the associations between different nursing measures through association rule mining technology includes:

[0089] The nursing measures data in the knowledge base is converted into a transaction database. Each transaction contains a series of nursing measures. According to the patient status, the minimum support and minimum confidence thresholds are set. The transaction database is traversed to calculate the support of each item, and all frequent item sets that meet the minimum support are generated. All rules are generated from the frequent item sets, and the confidence of each rule is calculated. The rules with confidence greater than or equal to the minimum confidence are screened and retained as strong association rules. For each strong association rule, the lift is calculated to evaluate the actual value of the association rule. The rules with a lift greater than 1 indicate positive correlation, and the larger the value, the stronger the correlation, and less than 1 indicates negative correlation. Based on the lift standard, valuable association rules for nursing plan formulation are screened and applied to the formulation of nursing plans. The selected association rules and key features that affect the patient's rehabilitation effect are combined with the decision tree algorithm to build a nursing measure prediction model. The trained nursing measure prediction model is applied to the formulation of actual nursing plans to analyze the relationship between nursing measures and patient rehabilitation effects. For new patient data, the nursing measure prediction model predicts the impact on the patient's rehabilitation effect based on the patient's current condition and outputs recommended nursing measures.

[0090] Furthermore, the expression of support is:

[0091] ;

[0092] in, It is used to measure the frequency of a certain item set in the total transaction. is the set of predecessor items in the transaction, is the set of successor items in the transaction, and Indicates different nursing measures, is the total number of records of the transaction, To include and The number of records, The value range is , the closer it is to 1, the more frequent the item set is, which means that the item set is very common in all transactions;

[0093] The expression of confidence is:

[0094] ;

[0095] in, Used to measure In case of occurrence, There is also the possibility that Included in the transaction The number of records, The value range is , the closer to 1, the Under the conditions of occurrence The higher the probability of occurrence;

[0096] The expression of lift is:

[0097] ;

[0098] in, Used to measure and The degree of direct association, whether there is a real association and not just chance, The successor item set The support of The value range is greater than or equal to 1. When the lift is greater than 1, it indicates and There is a positive correlation between and are independent, and when less than 1, it indicates and There is a negative correlation between them, and the higher the degree of lift, the greater the strength of the association;

[0099] The nursing assessment module is used to conduct a comprehensive nursing assessment of the patient, including physical condition (vital sign data), psychological state (using manual scoring), pain level, nutritional status, and sleep quality. The patient's nursing needs and risk level are determined based on the assessment results, providing a basis for the subsequent formulation of a personalized nursing plan;

[0100] Nursing strategy planning module, which is used to formulate personalized nursing plans based on the patient's assessment results and diagnosis, including nursing goals, nursing measures, and nursing schedules. The nursing plan can be dynamically adjusted according to the patient's condition changes to improve the pertinence and effectiveness of nursing and ensure the timeliness and accuracy of the nursing plan;

[0101] Nursing implementation module is used to implement nursing measures according to the nursing plan, including condition observation, drug treatment, daily care, and psychological care, and record relevant information during the nursing implementation process to ensure the effective implementation of nursing measures. At the same time, it records key information during the nursing process to provide a basis for subsequent nursing effect evaluation and plan adjustment;

[0102] The communication and collaboration module is used to provide an online communication platform to promote communication and collaboration between nurses and doctors, patients and their families, provide timely feedback on patients' condition changes and nursing needs, promote multidisciplinary teamwork, and improve nursing quality and patient satisfaction;

[0103] The nursing effectiveness evaluation module is used to regularly evaluate the nursing effectiveness, including the patient's recovery status, the occurrence of complications, and satisfaction, and adjust the nursing plan based on the evaluation results, optimize the nursing strategy, promote continuous improvement of nursing quality, and improve the patient's rehabilitation effect and the overall quality of nursing services.

[0104] The second embodiment is based on the first embodiment. Figure 2 As shown in the nursing assessment module, the process of conducting a comprehensive nursing assessment on the patient includes:

[0105] Collect the patient's vital signs data such as body temperature, pulse, respiratory rate, and blood pressure, and set the normal range values. For vital signs that exceed the normal range, give corresponding abnormal scores. Use pain assessment scales (such as visual analog scale VAS, numerical rating scale NRS, facial expression pain scale FPS-R) to record the patient's self-reported pain perception and the impact of pain on daily life, evaluate the patient's pain level, divide it into different levels according to the evaluation results, and give corresponding pain scores. Evaluate the patient's eating habits, weight changes, and laboratory nutritional indicators (such as serum albumin, prealbumin, etc.), observe the patient's skin and mucous membrane conditions, evaluate nutritional status, set different nutritional status levels, and give corresponding nutritional scores. By asking the patient's sleep duration, sleep time, ease of falling asleep, and sleep interruption information, use sleep assessment tools (such as the Pittsburgh Sleep Quality Index PSQI) to evaluate, divide different sleep quality levels, and give corresponding sleep scores. All collected data sets The nursing staff integrates the patient's vital signs, pain level, nutritional status and sleep quality into the nursing assessment module. The nursing staff evaluates the patient's vital signs, pain level, nutritional status and sleep quality according to the patient's actual situation, summarizes the collected assessment data, calculates the abnormal vital signs score, pain score, nutritional score and sleep score respectively, and constructs the patient nursing assessment index in combination with the patient's age and number of complications. The patient's status is comprehensively evaluated to determine the patient's physiological, psychological and social nursing needs. The nursing needs are divided into three nursing demand levels in combination with the range of the patient's nursing assessment index, namely low nursing demand level, medium nursing demand level and high nursing demand level, and the nursing focus at each level is clarified. In combination with the patient's status and the patient's nursing assessment index, the patient's risk level is divided into five risk levels, namely, level 1 risk level, level 2 risk level, level 3 risk level, level 4 risk level and level 5 risk level. Among them, the risk level increases in severity from level 1 to level 5, and the assessment threshold of each risk level is set based on the patient's nursing assessment index.

[0106] Furthermore, the expression of the patient care evaluation index is:

[0107] ;

[0108] in, It is a patient care assessment index used to comprehensively assess the patient's care needs. It is the abnormal score of vital signs, which reflects the degree to which the patient's vital signs deviate from the normal range. The pain score is based on the patient's pain rating scale score. Nutrition score, based on the patient's nutritional status assessment, A sleep score based on the patient's assessment of sleep quality. is the patient's age, used to adjust the score, is the number of complications, which indicates the number of other health problems that the patient has besides the primary diagnosis. is the reference value of the number of complications, as , , , The increase in the age factor in the denominator will offset some of the increase, but overall Values ​​tend to increase, indicating an increase in care needs, The increase in the index part will lead to an increase in the index part, further pushing up The value considers the impact of age on the patient's care needs. The older the patient is, the more care resources may be needed. The higher the value, the greater the patient's care needs and the higher the care risk;

[0109] Multiple nursing demand levels correspond to multiple nursing demand thresholds, wherein the nursing demand threshold includes an upper threshold and a lower threshold;

[0110] Multiple nursing demand levels and multiple nursing demand thresholds satisfy the following relationship:

[0111] Low level of care needs ; The patient's condition is stable, their self-care ability is good, and they need less nursing resources and intervention;

[0112] Medium care needs level ; Patients may have some chronic diseases or functional disorders and require a certain degree of nursing support and monitoring;

[0113] High care needs level ; The patient's condition is more serious and may require close monitoring and multi-faceted nursing intervention;

[0114] in, Patient Care Assessment Index, is the lower threshold corresponding to the medium nursing demand level and the upper threshold corresponding to the low nursing demand level, The lower threshold corresponding to the high nursing demand level and the upper threshold corresponding to the medium nursing demand level;

[0115] Multiple risk levels correspond to multiple assessment thresholds, where the assessment thresholds include an upper threshold and a lower threshold;

[0116] Multiple risk levels and multiple assessment thresholds satisfy the following relationship:

[0117] Level 1 risk ; The patient's condition is stable, there are no major complications, and the risk is relatively low;

[0118] Secondary risk level ; The patient's condition is relatively stable, but there are some potential risks that need attention;

[0119] Level 3 risk The patient's condition is of moderate risk, with a certain risk of complications, and requires moderately strengthened monitoring and close attention;

[0120] Four risk levels The patient's condition is more serious, with a significant risk of complications and a high risk, requiring close monitoring and intervention;

[0121] Five risk levels The patient is in critical condition and at high risk of complications, requiring urgent or intensive treatment;

[0122] in, Patient Care Assessment Index, is the lower threshold corresponding to the second-level risk level and the upper threshold corresponding to the first-level risk level, is the lower threshold corresponding to the third-level risk level and the upper threshold corresponding to the second-level risk level. is the lower threshold corresponding to the fourth risk level and the upper threshold corresponding to the third risk level. The lower threshold corresponding to the fifth risk level and the upper threshold corresponding to the fourth risk level;

[0123] In the nursing strategy planning module, the process of developing a personalized nursing plan includes:

[0124] Traverse the patient's vital signs, pain level, nutritional status and sleep quality assessment data in the nursing assessment module, calculate the patient's nursing needs based on the patient's nursing assessment index, and determine the patient's specific nursing needs level and risk level. According to the determined patient's nursing needs level and risk level, specifically analyze the patient's physiological, psychological and social nursing needs. According to the patient's nursing needs assessment results, formulate a personalized nursing plan, including short-term and long-term nursing goals, and specific nursing measures to achieve the nursing goals. Nursing measures include drug therapy, non-drug therapy (such as physical therapy, psychological support), life care, health education, and dynamically adjust the nursing plan and nursing measures according to changes in the patient's condition , plan drug treatment plans, including drug selection, dosage, administration time and route, plan non-drug treatment measures, such as physical therapy, psychological support, rehabilitation training, etc., and plan life care measures, such as personal hygiene, nutritional support, activity arrangements, etc., provide health education, help patients and families understand disease management and self-care skills, formulate a timetable and schedule for nursing measures according to the needs of the nursing plan, and determine the priority and execution order of nursing measures to respond to emergencies and critical care needs, allocate necessary human, material and equipment resources, record the nursing plan in detail in the patient's electronic health record system, and ensure that all medical team members involved in the patient's care can access and understand the care plan;

[0125] In the nursing implementation module, the process of executing nursing measures includes:

[0126] Nursing staff will formulate personalized nursing plans based on the nursing strategy planning module, confirm the nursing plan's goals, measures, schedules and resource allocation, and implement various nursing measures, including condition observation, drug treatment, daily life care, and psychological care. Condition observation: Nursing staff will closely monitor the patient's vital signs (such as body temperature, pulse, respiratory rate, blood pressure, etc.), observe changes in the patient's condition, such as pain level, skin condition, excretion, etc., and record them in the electronic health record system. Drug treatment: According to the doctor's orders and nursing plans, nursing staff will accurately implement drug treatment, including drug dosage, route of administration, time of administration, etc., and record the patient's medication response and treatment effect. Daily life care: Assist patients in daily Daily life activities, such as eating, washing, turning over, etc., ensure that the patient's basic life needs are met. Psychological care: pay attention to the patient's mental state, provide psychological support and comfort, and help patients relieve anxiety, fear and other negative emotions. During the implementation of nursing, nursing staff use the electronic health record system to record information on changes in the patient's condition, treatment response, and the implementation of nursing measures, which helps to evaluate the effectiveness of nursing measures and provide a basis for the adjustment of subsequent nursing plans. Regularly evaluate the effectiveness of nursing measures, check whether nursing measures are implemented as planned, and observe changes in the patient's condition and compare them with the goals of the nursing plan. According to the evaluation results, adjust the nursing plan to improve the quality of nursing and ensure the effectiveness and pertinence of nursing measures;

[0127] In the communication and collaboration module, the process of providing feedback on patient condition changes and nursing needs includes:

[0128] Establish an integrated online communication platform for real-time communication and information sharing among nursing staff, doctors, patients and their families, and configure communication tools such as instant messaging, video conferencing, shared documents, etc. to meet communication needs in different situations. Share patients' condition updates, treatment progress and care plans through the online communication platform, and establish a feedback channel for patients and their families to provide real-time feedback, collect and provide feedback on patients' care needs, including pain management, life care, and psychological support, and adjust care plans based on feedback from patients and their families, share patients' medical information, care plans and treatment progress, and formulate the most optimized treatment plan.

[0129] Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field and related fields without creative work should fall within the scope of protection of the present invention. The structures, devices and operating methods not specifically described and explained in the present invention are implemented according to the conventional means in the field unless otherwise specified and limited.

Claims

1. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing, comprising: The nursing strategy optimization platform is characterized in that the nursing strategy optimization platform is communicatively connected with a patient information management module, a knowledge base module, a nursing assessment module, a nursing strategy plan formulation module, a nursing implementation module, a communication and collaboration module, and a nursing effect evaluation module, wherein the modules are connected by electrical signals; The patient information management module is used to collect basic information of the patient and record important medical information such as the patient's medical history, allergy history, and surgical history; The knowledge base module is used to store knowledge related to hepatobiliary and pancreatic internal medicine nursing and drug management treatment models, analyze and organize medical literature using natural language processing technology to form a structured knowledge base, and set association rules to discover the association between different nursing measures and the relationship between nursing measures and patient rehabilitation effects; The nursing assessment module is used to conduct a comprehensive nursing assessment of the patient, including physical condition, psychological state, pain level, nutritional status, sleep quality, and determine the patient's nursing needs and risk level based on the assessment results; The nursing strategy planning module is used to formulate a personalized nursing plan based on the patient's assessment results and diagnosis; The nursing implementation module is used to execute nursing measures according to the nursing plan and record relevant information during the nursing implementation process; The communication and collaboration module is used to provide an online communication platform to feedback the patient's condition changes and nursing needs; The nursing effect evaluation module is used to regularly evaluate the nursing effect, including the patient's recovery status, complication occurrence, and satisfaction, and adjust the nursing plan and optimize the nursing strategy based on the evaluation results.

2. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 1, characterized in that: In the patient information management module, the process of collecting basic patient information and medical information includes: The medical staff manually inputs the patient's basic information, including name, age, gender, diagnosis, and hospitalization number, or imports it from the hospital information system. The input information is initially verified, and the patient's medical history is obtained through the electronic medical record system. The medical history includes the patient's past medical history, allergy history, and surgical history. Use medical equipment to monitor the patient's vital signs in real time, obtain the patient's body temperature, pulse, respiratory rate, and blood pressure data, and synchronize the monitored vital signs data to the patient information management module; Enter the patient's various examination results, including blood tests and imaging tests, and integrate them into the patient information management module through the electronic medical record system; Track the patient's treatment progress and encrypt all the patient's information. The treatment progress records the treatment measures the patient receives, including drug therapy, surgical treatment, and physical therapy. As the patient's treatment progresses, the treatment progress is updated, including treatment effects, side effects, and complications. Integrate the collected patient information into complete medical records and generate patient health reports, including vital signs trends, test result summaries, and treatment progress.

3. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 2, characterized in that: In the knowledge base module, the process of forming the knowledge base includes: Collect knowledge related to hepatobiliary and pancreatic nursing from various medical literature, textbooks, and clinical research reports, including disease knowledge, nursing techniques, and drug knowledge, and integrate nursing knowledge data from different sources; Use natural language processing technology to perform preprocessing operations such as text cleaning, word segmentation, part-of-speech tagging, and syntactic analysis on the collected nursing knowledge data, extract key information from the preprocessed nursing knowledge data, and convert the extracted information into structured data, where the key information includes disease name, symptoms, nursing measures, drug name, mechanism of action, usage and dosage, and adverse reactions; Organize structured data according to the dimensions of disease classification, nursing process, and drug classification, and establish a knowledge system, including the definition of the disease, symptoms, diagnostic criteria, treatment guidelines, and nursing measures, to build a structured knowledge base. The knowledge base content includes disease knowledge, nursing technology, and drug knowledge; The association between different nursing measures is analyzed through association rule mining technology, which assists nursing staff to integrate the synergy of multiple measures when formulating nursing plans, and establishes a nursing measure prediction model to analyze the relationship between nursing measures and patient rehabilitation effects. Among them, the association rule mining technology is the Apriori algorithm, and the nursing measure prediction model is built based on the decision tree model; Establish a regular update mechanism to regularly update the knowledge base content, perform version management on the knowledge base, and record the content and time of each update; Provide a query interface for medical staff to search for relevant nursing knowledge, provide an online learning platform for medical staff, set up knowledge testing units, and test the learning outcomes of medical staff by answering questions.

4. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 3, characterized in that: The process of analyzing the associations between different nursing measures by association rule mining technology includes: The nursing measures data in the knowledge base is converted into a transaction database. Each transaction contains a series of nursing measures, and the minimum support and minimum confidence thresholds are set according to the patient status. Traverse the transaction database, calculate the support of each item, generate all frequent item sets that meet the minimum support, generate all rules from the frequent item sets, calculate the confidence of each rule, and filter and retain the rules with confidence greater than or equal to the minimum confidence as strong association rules; For each strong association rule, calculate the lift to evaluate the actual value of the association rule. A rule with a lift greater than 1 indicates a positive correlation, and a larger value indicates a stronger correlation, while a value less than 1 indicates a negative correlation. Based on the improvement criteria, the association rules that are valuable for nursing plan formulation are screened and applied to the formulation of nursing plans; The selected association rules and key features that affect the patient's rehabilitation effect are used in combination with the decision tree algorithm to build a nursing measure prediction model; The trained nursing measure prediction model is applied to the formulation of actual nursing plans to analyze the relationship between nursing measures and patient rehabilitation effects. For new patient data, the nursing measure prediction model predicts the impact on the patient's rehabilitation effect based on the patient's current condition and outputs recommended nursing measures.

5. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 4, characterized in that: The expression of the support is: ； in, It is used to measure the frequency of a certain item set in the total transaction. is the set of predecessor items in the transaction, is the set of successor items in the transaction, and Indicates different nursing measures, is the total number of records of the transaction, To include and The number of records, The value range is , the closer it is to 1, the more frequent the item set is; The expression of the confidence is: ； in, Used to measure In case of occurrence, There is also the possibility that Included in the transaction The number of records, The value range is , the closer to 1, the Under the conditions of occurrence The higher the probability of occurrence; The expression of the lifting degree is: ； in, Used to measure and The degree of direct association, whether there is a real association and not just chance, The successor item set The support of The value range is greater than or equal to 1. When the lift is greater than 1, it indicates and There is a positive correlation between and are independent, and when less than 1, it indicates and There is a negative correlation between them, and the higher the lift, the stronger the association.

6. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 5, characterized in that: In the nursing assessment module, the process of conducting a comprehensive nursing assessment on the patient includes: Collect the patient's vital signs data such as body temperature, pulse, respiratory rate, and blood pressure, and set normal range values. For vital signs that exceed the normal range, give corresponding abnormal scores; A pain assessment scale was used to record the patient's self-reported pain experience and the impact of pain on daily life, assess the patient's pain level, divide the patient into different levels based on the assessment results, and give a corresponding pain score; Assess the patient's eating habits, weight changes, laboratory nutritional indicators, observe the patient's skin and mucous membrane conditions, assess nutritional status, set different nutritional status levels, and give corresponding nutritional scores; By asking patients about their sleep duration, time to fall asleep, difficulty in falling asleep, and sleep interruptions, a sleep assessment tool is used to assess the quality of sleep, classify it into different levels, and give a corresponding sleep score. All collected data are integrated into the nursing assessment module, and nursing staff evaluate the patient's vital signs, pain level, nutritional status and sleep quality based on the patient's actual situation; Summarize the collected assessment data, calculate the abnormal vital signs score, pain score, nutrition score, and sleep score, and build a patient care assessment index based on the patient's age and number of complications to comprehensively assess the patient's condition and determine the patient's physiological, psychological, and social care needs; Combined with the range of the patient care assessment index, nursing needs are divided into three levels of nursing needs, namely low, medium and high levels of nursing needs, and the nursing focus at each level is clarified. Combined with the patient's condition and the patient care assessment index, the patient's risk level is divided into five risk levels, namely level 1 risk level, level 2 risk level, level 3 risk level, level 4 risk level and level 5 risk level. Among them, the risk level increases in severity from level 1 to level 5, and the assessment threshold of each risk level is set based on the patient care assessment index.

7. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 6, characterized in that: The expression of the patient care evaluation index is: ； in, Patient Care Assessment Index, It is the abnormal score of vital signs, which reflects the degree to which the patient's vital signs deviate from the normal range. Score the pain. For nutrition score, For sleep score, is the patient's age, is the number of complications, is the reference value for the number of complications; A plurality of risk levels correspond to a plurality of assessment thresholds, wherein the assessment thresholds include an upper threshold and a lower threshold; The multiple risk levels and the multiple assessment thresholds satisfy the following relationship: Level 1 risk ; Secondary risk level ; Level 3 risk ; Four risk levels ; Five risk levels ; in, Patient Care Assessment Index, is the lower threshold corresponding to the second-level risk level and the upper threshold corresponding to the first-level risk level, is the lower threshold corresponding to the third-level risk level and the upper threshold corresponding to the second-level risk level. is the lower threshold corresponding to the fourth risk level and the upper threshold corresponding to the third risk level. It is the lower threshold corresponding to the fifth risk level and the upper threshold corresponding to the fourth risk level.

8. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 7, characterized in that: In the nursing strategy planning module, the process of formulating a personalized nursing plan includes: Traverse the patient's vital signs, pain level, nutritional status and sleep quality assessment data in the nursing assessment module, calculate the patient's nursing needs based on the patient's nursing assessment index, and determine the patient's specific nursing needs level and risk level; Analyze the patient's physical, psychological, and social care needs in detail based on the patient's determined care needs and risk levels; According to the results of the patient's nursing needs assessment, formulate a personalized nursing plan, including short-term and long-term nursing goals, as well as specific nursing measures to achieve the nursing goals. The nursing measures include drug therapy, non-drug therapy, life care, and health education. The nursing plan and nursing measures are dynamically adjusted according to the changes in the patient's condition. The drug treatment plan, including drug selection, dosage, administration time and route, non-drug treatment measures, and life care measures are planned; Develops timelines and schedules for nursing interventions based on the needs of the nursing plan, determines the priority and order of execution of nursing interventions, allocates human, material, and equipment resources, and documents the nursing plan in detail in the patient's electronic health record system.

9. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 8, characterized in that: In the nursing implementation module, the process of executing nursing measures includes: Nursing staff will formulate personalized nursing plans based on the nursing strategy planning module, confirm the nursing plan's goals, measures, timetable and resource allocation, and implement various nursing measures, including condition observation, drug treatment, daily care and psychological care; During the nursing implementation process, nursing staff use the electronic health record system to record information about changes in the patient's condition, treatment response, and implementation of nursing measures; Regularly evaluate the effectiveness of nursing measures, check whether nursing measures are implemented as planned, observe changes in the patient's condition, compare them with the goals of the nursing plan, and adjust the nursing plan based on the evaluation results to improve the quality of nursing.

10. A patient care strategy optimization system for hepatobiliary and pancreatic internal medicine nursing according to claim 9, characterized in that: In the communication and collaboration module, the process of providing feedback on patient condition changes and nursing needs includes: Establish an integrated online communication platform for real-time communication and information sharing among nursing staff, doctors, patients and their families, and configure communication tools; Share patient updates, treatment progress, and care plans through online communication platforms, and establish feedback channels for patients and their families to provide real-time feedback; Collect and provide feedback on patients' care needs, including pain management, life care, and psychological support, and adjust care plans based on feedback from patients and their families, and share patients' medical information, care plans, and treatment progress.

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