Patient information safety management system for nursing of liver, gall and pancreas department

Abstract

The invention, which relates to the technical field of nursing management, discloses a patient information safety management system for liver, gall and pancreatic internal medicine nursing, comprising a nursing information management center. The nursing information management center is in communication connection with a patient information collection module, an information classification processing module, a health trend analysis module, a risk assessment analysis module, a risk early warning planning module and an information synchronous updating module. According to the patient information safety management system for nursing in the department of hepatobiliary and pancreatic, through implementation of the patient information safety management system, medical staff can access latest and most accurate patient data in real time, and a risk assessment analysis module comprehensively analyzes the medical history, the current illness state and the treatment progress of a patient and calculates a risk assessment coefficient; in addition, by updating the medical information of the patient in real time, making and executing a personalized nursing plan, the change of the illness state of the patient is quickly responded, and the nursing and treatment scheme is adjusted in time.

Description

Technical Field

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

[0002] With the rapid development of medical technology and information technology, medical informatization has become an important means to improve the quality and efficiency of medical services. Hepatobiliary and pancreatic diseases are often complicated and changeable, requiring medical staff to record various types of patient information in detail and accurately, including basic information, medical history, diagnosis results, treatment plans, etc. This information is crucial for the treatment, care and rehabilitation of patients. However, traditional manual recording methods have problems such as incomplete information, prone to errors, and difficult to share, which cannot meet the needs of modern medical services. Therefore, the introduction of a patient information security management system can realize the electronic and digital management of patient information and improve the accuracy and efficiency of information management.

[0003] In the existing technology, the information of patients in hepatobiliary and pancreatic internal medicine is complex and diverse, and the severity of patients' illnesses and nursing needs are also different. It is difficult to accurately predict the risks that patients may encounter. Therefore, how to comprehensively analyze and predict the risks in the patient's nursing process and trigger the corresponding risk warning mechanism in a targeted manner is the problem we need to solve. To this end, a patient information security management system for hepatobiliary and pancreatic internal medicine care is proposed. Summary of the invention

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: A patient information security management system for hepatobiliary and pancreatic internal nursing, comprising a nursing information management center, wherein the nursing information management center is communicatively connected with a patient information collection module, an information classification processing module, a health trend analysis module, a risk assessment analysis module, a risk warning plan module and an information synchronization update module, wherein the modules are electrically connected with each other;

[0005] The patient information collection module is used to collect the patient's basic information, medical history, diagnosis results, treatment plan, and medical data of nursing records to ensure the integrity and accuracy of the information and provide basic data for subsequent analysis;

[0006] The information classification processing module is used to automatically classify the entered patient information, determine the nursing needs and risk level based on the patient's condition level, realize standardized processing of information, and ensure that information from different sources can be in a unified format for subsequent analysis;

[0007] The health trend analysis module is used to analyze the patient's medical history and current condition, evaluate the patient's treatment risk, and then determine the patient's current health status and health trend;

[0008] The risk assessment and analysis module comprehensively analyzes the multi-dimensional information of the patient's medical history, current condition, and treatment progress, and uses machine learning algorithms to assess the patient's potential health risks. Based on the assessment results, different risk levels are preset and a personalized care plan is formulated;

[0009] The risk warning plan module automatically triggers a warning signal when the risk assessment module predicts that the patient is at high risk, and formulates a detailed nursing plan based on the patient's risk assessment results and personalized needs, tracks the implementation of the nursing plan, ensures that various nursing measures are implemented, and provides a nursing record function so that medical staff can check and update the patient's nursing status at any time;

[0010] The information synchronization update module updates the patient's medical information in real time, including changes in condition and treatment adjustments, to ensure that patient information can be transmitted promptly and accurately between various links, improve the timeliness and consistency of information, and record all activities and decisions in the nursing process and manage nursing documents.

[0011] Preferably, in the patient information collection module, the process of collecting patient medical data includes:

[0012] Collect medical data including the patient's basic information, medical history, diagnosis results, treatment plan, and nursing records. Medical staff manually input the patient's basic information and integrate with the hospital's electronic health record system, laboratory information system, and image storage and transmission system to obtain the patient's electronic medical record and examination results. Basic information includes name, age, gender, contact information, etc.

[0013] Verify the collected medical data, check whether the format of the input data meets the preset standards, and check the rationality of the logical relationship between the data;

[0014] Based on the medical data after data verification, pre-processing operations such as data cleaning and data standardization are performed. Data cleaning removes duplicate data records, fills in and marks missing data, and unifies medical terms and measurement units through data standardization;

[0015] A data warehouse is established in the nursing information management center to store the pre-processed medical data in the data warehouse. As the patient's treatment progresses, the patient's condition changes, new diagnosis results and treatment plan data are updated in real time.

[0016] Preferably, in the information classification processing module, the process of information standardization processing includes:

[0017] Extract the patient's medical data from the data warehouse of the nursing information management center, and classify the patients into different disease levels according to their diagnosis results and disease severity. At the same time, mark the patient's treatment stage. The disease levels are mild, moderate, and severe, and the treatment stages are early, middle, and late.

[0018] Analyze the patient's condition level and treatment stage, assess the patient's overall condition, and determine their care needs;

[0019] Comprehensively analyze the patient's condition, age, and physical condition, and assess the health risks they face, and the risk of adverse events in patients;

[0020] Assign unique codes to medical data of patients with different disease levels for easy retrieval and management, and establish data mapping relationships to associate patient disease levels, treatment stages, nursing needs and risk levels;

[0021] The classified and coded medical data are stored in the data warehouse for easy retrieval and management, and the classification and coding information is updated as the patient's condition changes.

[0022] Preferably, in the health trend analysis module, the process of determining the patient's current health status and health trend includes:

[0023] Extract the patient's medical history records and current condition data from the preprocessed data, and comprehensively analyze and extract risk assessment features, which are medical history features and physiological indicator features, to obtain a risk assessment feature set;

[0024] Based on the patient's medical history records and current condition data, the patient's treatment progress is analyzed to determine the duration of the patient's treatment. The medical history characteristics include onset time, course length, number of treatments, treatment effect feedback score, etc. The physiological index characteristics include body temperature, heart rate, blood pressure, blood indexes, heart function indexes, lung function indexes, etc.;

[0025] Comprehensively analyze the associated data of medical history characteristics in the risk assessment feature set to obtain the medical history risk assessment index and evaluate the patient's treatment risk;

[0026] The health status assessment index is obtained by using the correlation data of physiological indicator characteristics in the risk assessment feature set to analyze the patient's current health status and health trends.

[0027] Preferably, the calculation expression of the medical history risk assessment index is:

[0028] ;

[0029] in, is the medical history risk assessment index, is the number of medical history features, For the Severity score of each medical history feature, For the The weight coefficient of each medical history feature, No. The risk coefficient of each medical history characteristic indicates the risk increase rate of the disease over time. is the time that has passed since the onset of illness, The value range is ;

[0030] The calculation expression of the health status assessment index is:

[0031] ;

[0032] in, is the health status assessment index, is the number of physiological indicator characteristics, For the The actual measured value of each physiological indicator characteristic, For the Normal baseline values ​​of physiological indicators, For the The severity score of each physiological indicator characteristic reflects the risk level of the indicator characteristic deviating from the normal range. is the time factor, which is the time span of the patient's overall disease course. The value range is .

[0033] Preferably, in the risk assessment and analysis module, the process of assessing the patient's potential health risks includes:

[0034] The risk assessment feature set is divided into a training set and a test set. A risk assessment model is constructed based on the training set data of the risk assessment feature set combined with a decision tree model. The trained risk assessment model is evaluated and verified using the test set data to adjust the relevant parameters of the risk assessment model.

[0035] Combined with the output of the risk assessment model, the risk assessment index of medical history, the health status assessment index and the duration of the patient's treatment are comprehensively considered to calculate the risk assessment coefficient and analyze the severity of the patient's potential health risks;

[0036] According to the risk assessment results and the distribution of risk assessment coefficients, different risk levels are preset, namely low risk level, medium risk level and high risk level, and the corresponding assessment threshold is matched for each risk level;

[0037] Based on the patient's risk assessment results and determined risk level, a personalized care plan is developed, which covers daily care, disease monitoring, medication management, psychological support, rehabilitation guidance and multiple aspects to meet the patient's actual needs.

[0038] Preferably, the calculation expression of the risk assessment coefficient is:

[0039] ;

[0040] in, is the risk assessment coefficient, which is used to assess the severity of the patient’s potential health risks. It is the medical history risk assessment index, which reflects the risk level associated with medical history. It is a health status assessment index that reflects the patient’s current health status and health trends. the duration of treatment the patient received, and is a weight factor used to adjust the proportion of the medical history risk assessment index and the health status assessment index in the final risk assessment coefficient. Indicates the contribution of medical history factors to the total risk assessment, Indicates the contribution of the current health status to the total risk assessment, is the decay rate, which indicates the rate at which the time factor affects the health status assessment index.

[0041] Preferably, the multiple risk levels correspond to the multiple assessment thresholds, the assessment thresholds include an upper threshold and a lower threshold, and the correspondence between the multiple risk levels and the multiple assessment thresholds is:

[0042] Low risk level ;

[0043] Medium risk level ;

[0044] High risk level ;

[0045] in, is the risk assessment coefficient, is the lower threshold corresponding to the medium risk level and the upper threshold corresponding to the low risk level, The lower threshold corresponding to the high risk level and the upper threshold corresponding to the medium risk level.

[0046] Preferably, in the risk warning plan module, the process of automatically triggering the warning signal includes:

[0047] Receive the risk assessment coefficient result of the patient's potential health risk from the risk assessment analysis module, analyze the severity of the patient's potential health risk, and determine the current health risk level;

[0048] Once the risk assessment results show that the patient is at high risk, an early warning signal is automatically triggered, an emergency early warning notification is sent to medical staff, the early warning information is displayed on the medical staff's workstation, and SMS and email notifications are sent to the medical staff. The early warning information contains the patient's basic information, risk assessment results, warning reasons, and recommended initial intervention measures;

[0049] Develop a detailed nursing plan based on the risk assessment results, including daily care, condition monitoring, drug management, psychological support, and rehabilitation guidance, and assign each task in the nursing plan to the corresponding medical staff;

[0050] Medical staff perform various nursing tasks according to the nursing plan and record the details of each nursing activity, including execution time, execution personnel, and patient response;

[0051] Track the implementation status of nursing activities, regularly evaluate the implementation effect of nursing plans, simultaneously monitor the patient's health changes, and adaptively adjust the nursing plan based on the patient's feedback and health changes.

[0052] Preferably, in the information synchronization update module, the process of updating the patient's medical information in real time includes:

[0053] Integrate different medical information systems to monitor patients' medical information in real time to obtain data on the entire process of patients' medical care, and set up data synchronization mechanisms, which are divided into scheduled synchronization and time-driven synchronization mechanisms. The scheduled synchronization mechanism synchronizes data at predetermined time intervals, and the time-driven synchronization mechanism synchronizes data immediately when key medical events occur (condition changes, treatment adjustments);

[0054] Update the patient's condition and treatment information, and record all activities in the nursing process, such as nursing operations, patient education, psychological support, etc., and simultaneously record the nursing decisions of medical staff, such as adjustments to the nursing plan, changes to the treatment plan, etc.;

[0055] Push updated information to all relevant medical staff, update the user interface in real time on the medical staff's workstation, and remind medical staff to pay attention to information updates through system notifications;

[0056] Create documentation for newly recorded nursing activities, update existing nursing documentation to reflect the latest nursing activities and decisions, and implement strict access controls to ensure only authorized personnel can access and update patient information to protect patient privacy.

[0057] The present invention provides a patient information security management system for hepatobiliary and pancreatic internal medicine nursing. It has the following beneficial effects:

[0058] 1. The patient information security management system used for hepatobiliary and pancreatic internal medicine care, through the implementation of the patient information security management system, medical staff can access the latest and most accurate patient data in real time, and the risk assessment analysis module comprehensively analyzes the patient's medical history, current condition and treatment progress, calculates the risk assessment coefficient, and promptly discovers potential health risks. In addition, by updating the patient's medical information in real time, formulating and implementing personalized care plans, it can quickly respond to changes in the patient's condition, and adjust the care and treatment plans in a timely manner, significantly improving the quality of care and patient safety.

[0059] 2. The patient information security management system used for hepatobiliary and pancreatic internal medicine care significantly improves the timeliness and accuracy of information by updating the patient's medical information in real time, including changes in condition, test results, and treatment responses. It can instantly obtain the patient's latest data to assist medical staff in viewing relevant data, analyzing causes, and adjusting care plans, which helps to control the disease in a timely manner, reduce the occurrence of complications, and improve the patient's rehabilitation management effect. It automatically integrates the patient's historical data, provides medical staff with more comprehensive patient information, and further supports relevant information decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 This is a module structure diagram of a patient information security management system for hepatobiliary and pancreatic internal medicine nursing according to the present invention;

[0061] Figure 2 A flow chart of the present invention for determining the current health status and health trend of a patient;

[0062] Figure 3 Flow chart for assessing a patient's potential health risk for the present invention. DETAILED DESCRIPTION

[0063] 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.

[0064] The first embodiment, as Figure 1 , Figure 2As shown, the present invention provides a technical solution: a patient information security management system for hepatobiliary and pancreatic internal medicine nursing, including a nursing information management center, the nursing information management center is communicatively connected with a patient information collection module, an information classification processing module, a health trend analysis module, a risk assessment analysis module, a risk warning plan module and an information synchronization update module, wherein the modules are connected by electrical signals;

[0065] The patient information collection module is used to collect the medical data of the patient's basic information, medical history, diagnosis results, treatment plan, and nursing records, ensure the integrity and accuracy of the information, provide basic data for subsequent analysis, and collect the medical data of the patient's basic information, medical history, diagnosis results, treatment plan, and nursing records. Among them, medical staff manually input the patient's basic information, integrate with the hospital's electronic health record system, laboratory information system, and image storage and transmission system to obtain the patient's electronic medical record and examination results. Basic information includes name, age, gender, contact information, etc. The collected medical data is verified to check whether the format of the input data meets the preset standards and the rationality of the logical relationship between the data. Based on the medical data after data verification, data cleaning and data standardization preprocessing operations are performed. Among them, data cleaning removes duplicate data records, and fills and marks missing data. Medical terminology and measurement units are unified through data standardization. A data warehouse is established in the nursing information management center to store the preprocessed medical data in the data warehouse, and the patient's condition changes, new diagnosis results and treatment plan data are updated in real time as the patient's treatment progresses;

[0066] The information classification processing module is used to automatically classify the entered patient information, determine the nursing needs and risk level based on the patient's condition level, realize the standardized processing of information, ensure that the information from different sources can be in a unified format, and facilitate subsequent analysis. The patient's medical data is extracted from the data warehouse of the nursing information management center, and the patient is divided into different condition levels according to the patient's diagnosis results and the severity of the condition. At the same time, the patient's treatment stage is marked. The condition level is mild, moderate, and severe, and the treatment stage is early, middle, and late. The patient's condition level and treatment stage are analyzed, the patient's overall condition is evaluated, and his nursing needs are determined. The patient's condition, age, and physical condition factors are comprehensively analyzed, and the health risks faced by the patient are evaluated. The risk level of adverse events in patients is evaluated, and unique codes are assigned to the medical data of patients with different condition levels for easy retrieval and management. A data mapping relationship is established to associate the patient's condition level, treatment stage, nursing needs, and risk level. The classified and coded medical data is stored in the data warehouse for easy retrieval and management, and the classification and coding information is updated as the patient's condition changes;

[0067] The health trend analysis module is used to analyze the patient's medical history and current condition, evaluate the patient's treatment risk, and then determine the patient's current health status and health trend. The patient's medical history record and current condition data are extracted from the preprocessed data, and the risk assessment features are extracted by comprehensive analysis, which are medical history features and physiological indicator features, respectively, to obtain a risk assessment feature set. Based on the patient's medical history record and current condition data, the patient's treatment process is analyzed to determine the duration of the patient's treatment. Among them, the medical history features include onset time, course length, number of treatments, treatment effect feedback score, etc., and the physiological indicator features include body temperature, heart rate, blood pressure, blood indicators, cardiac function indicators, lung function indicators, etc. Comprehensively analyze the associated data of the medical history features in the risk assessment feature set to obtain the medical history risk assessment index, evaluate the patient's treatment risk, and use the associated data of the physiological indicator features in the risk assessment feature set to obtain the health status assessment index, and analyze the patient's current health status and health trend;

[0068] Furthermore, the calculation expression of the medical history risk assessment index is:

[0069] ;

[0070] in, is the medical history risk assessment index, is the number of medical history features, For the Severity score of each medical history feature, For the The weight coefficient of each medical history feature, No. The risk coefficient of each medical history characteristic indicates the risk increase rate of the disease over time. is the time that has passed since the onset of illness, The value range is ,depending on , and If the value of and The value of is large, and Longer, The value will be higher, indicating that the treatment risk and course of the disease may be more serious. and The value of is small, and Shorter, The value will be lower, indicating that the treatment risk and course of the disease may be milder. represents the exponential growth of risk over time. is positive, the risk increases over time; if If it is negative, the risk decreases over time. Used to simulate the growth or reduction of risk over time, where Reflects the rate at which risk changes over time;

[0071] The calculation expression of the health status assessment index is:

[0072] ;

[0073] in, is the health status assessment index, is the number of physiological indicator characteristics, For the The actual measured value of each physiological indicator characteristic, For the Normal baseline values ​​of physiological indicators, For the The severity score of each physiological indicator characteristic reflects the risk level of the indicator characteristic deviating from the normal range. is the time factor, which is the time span of the patient's overall disease course. The value range is ,depending on and The degree of proximity and and If the value of near ,but will be larger, indicating that the physiological index characteristics are normal or close to normal. Significant deviation (whether higher or lower), then will decrease, resulting in decline, It reflects the increase or decrease in the risk of physiological indicators deviating from normal values ​​over time. A high value indicates that most of the patient's physiological indicators are close to normal values ​​and the patient is in good health. A low value indicates that one or more physiological indicator characteristics deviate from the normal value, indicating health problems;

[0074] The risk assessment and analysis module comprehensively analyzes the multi-dimensional information of the patient's medical history, current condition, and treatment progress, and uses machine learning algorithms to assess the patient's potential health risks. Based on the assessment results, different risk levels are preset and personalized care plans are formulated;

[0075] Risk warning plan module: When the risk assessment module predicts that the patient is at high risk, it will automatically trigger a warning signal, and formulate a detailed nursing plan based on the patient's risk assessment results and personalized needs, track the implementation of the nursing plan, ensure that various nursing measures are implemented, and provide a nursing record function so that medical staff can check and update the patient's nursing status at any time;

[0076] The information synchronization update module updates the patient's medical information in real time, including changes in condition and treatment adjustments, to ensure that patient information can be transmitted promptly and accurately between all links, improve the timeliness and consistency of information, record all activities and decisions in the nursing process, and manage nursing documents.

[0077] The second embodiment is based on the first embodiment. Figure 3 As shown in the risk assessment analysis module, the process of assessing a patient's potential health risks includes:

[0078] The risk assessment feature set is divided into a training set and a test set. A risk assessment model is constructed based on the training set data of the risk assessment feature set combined with a decision tree model. The trained risk assessment model is evaluated and verified using the test set data to adjust the relevant parameters of the risk assessment model. The risk assessment coefficient is calculated based on the output of the risk assessment model, the medical history risk assessment index, the health status assessment index and the duration of the patient's treatment. The severity of the patient's potential health risks is analyzed. Different risk levels are preset according to the risk assessment results and the distribution of the risk assessment coefficient, namely low risk level, medium risk level and high risk level, and the corresponding assessment threshold is matched for each risk level. Based on the patient's risk assessment results and the determined risk level, a personalized nursing plan is formulated. The nursing plan covers multiple aspects such as daily care, disease monitoring, drug management, psychological support and rehabilitation guidance to meet the actual needs of the patient.

[0079] Furthermore, the calculation expression of the risk assessment coefficient is:

[0080] ;

[0081] in, is the risk assessment coefficient, which is used to assess the severity of the patient’s potential health risks. It is the medical history risk assessment index, which reflects the risk level associated with medical history. It is a health status assessment index that reflects the patient’s current health status and health trends. the duration of treatment the patient received, and is a weight factor used to adjust the proportion of the medical history risk assessment index and the health status assessment index in the final risk assessment coefficient. Indicates the contribution of medical history factors to the total risk assessment, Indicates the contribution of the current health status to the total risk assessment, is the decay rate, which indicates the rate of influence of time factor on the health status assessment index and reflects the influence of treatment time on the health status assessment index. A larger value of means that the patient's medical history factors bring a higher risk. The value of will be higher if A larger value of means that the patient's current health condition is better. increase, The value will decrease, reflecting a good treatment response and a trend of health improvement. , an exponential decay factor is introduced to simulate the improvement trend of the patient's health status as the treatment time increases;

[0082] Furthermore, multiple risk levels correspond to multiple assessment thresholds, and the assessment thresholds include an upper threshold and a lower threshold. The corresponding relationship between the multiple risk levels and the multiple assessment thresholds is:

[0083] Low risk level ;

[0084] Medium risk level ;

[0085] High risk level ;

[0086] in, is the risk assessment coefficient, is the lower threshold corresponding to the medium risk level and the upper threshold corresponding to the low risk level, The lower threshold corresponding to the high risk level and the upper threshold corresponding to the medium risk level;

[0087] In the risk warning plan module, the process of automatically triggering warning signals includes:

[0088] Receive the risk assessment coefficient results of the patient's potential health risks from the risk assessment analysis module, analyze the severity of the patient's potential health risks, and determine the current health risk level. Once the risk assessment results show that the patient is in a high-risk state, automatically trigger the warning signal, send an emergency warning notification to the medical staff, display the warning information on the medical staff's workstation, and send SMS notifications and email notifications to the medical staff. The warning information contains the patient's basic information, risk assessment results, warning reasons, and recommended preliminary intervention measures. According to the risk assessment results, a detailed nursing plan is formulated, including daily care, disease monitoring, drug management, psychological support, and rehabilitation guidance, and each task in the nursing plan is assigned to the corresponding medical staff. The medical staff performs various nursing tasks according to the nursing plan and records the details of each nursing activity, including execution time, executor, and patient response. Track the execution status of nursing activities, regularly evaluate the execution effect of the nursing plan, synchronously monitor the patient's health changes, and adaptively adjust the nursing plan according to the patient's feedback and health changes;

[0089] In the information synchronization update module, the process of real-time updating of patient medical information includes:

[0090] Integrate different medical information systems, monitor patients' medical information in real time to obtain full-process data of patients' medical care, and set up data synchronization mechanisms, which are divided into scheduled synchronization and time-driven synchronization mechanisms. Among them, the scheduled synchronization mechanism synchronizes data at predetermined time intervals, and the time-driven synchronization mechanism synchronizes data immediately when key medical events occur (condition changes, treatment adjustments), updates patients' condition information and treatment information, and records all activities in the nursing process, such as nursing operations, patient education, psychological support, etc., and synchronously records the nursing decisions of medical staff, such as adjustments to nursing plans, changes in treatment plans, etc., pushes updated information to all relevant medical staff, and updates the user interface in real time on the medical staff's workstation, and reminds medical staff to pay attention to information updates through system notifications, creates documents for newly recorded nursing activities, updates existing nursing documents, reflects the latest nursing activities and decisions, and implements strict access control to ensure that only authorized personnel can access and update patient information to protect patient privacy.

[0091] 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 information security management system for hepatobiliary and pancreatic internal medicine nursing, including a nursing information management center, characterized in that: The nursing information management center is communicatively connected with a patient information collection module, an information classification processing module, a health trend analysis module, a risk assessment analysis module, a risk warning plan module, and an information synchronization update module, wherein electrical signals are connected between the modules; The patient information collection module is used to collect medical data such as the patient's basic information, medical history, diagnosis results, treatment plans, and nursing records; The information classification processing module is used to automatically classify the entered patient information, determine the nursing needs and risk level based on the patient's condition level, and realize standardized processing of information; The health trend analysis module is used to analyze the patient's medical history and current condition, evaluate the patient's treatment risk, and then determine the patient's current health status and health trend; The risk assessment and analysis module comprehensively analyzes the multi-dimensional information of the patient's medical history, current condition, and treatment progress, and uses machine learning algorithms to assess the patient's potential health risks. Based on the assessment results, different risk levels are preset and a personalized care plan is formulated; The risk warning plan module automatically triggers a warning signal when the risk assessment module predicts that the patient is at high risk, and formulates a detailed care plan based on the patient's risk assessment results and personalized needs; The information synchronization update module updates the patient's medical information in real time, including changes in condition and treatment adjustments.

2. A patient information security management system for hepatobiliary and pancreatic internal care according to claim 1, characterized in that: In the patient information collection module, the process of collecting patient medical data includes: Collect medical data such as the patient's basic information, medical history, diagnosis results, treatment plan, and nursing records. Medical staff manually input the patient's basic information and integrate with the hospital's electronic health record system, laboratory information system, and image storage and transmission system to obtain the patient's electronic medical record and examination results; Verify the collected medical data, check whether the format of the input data meets the preset standards, and check the rationality of the logical relationship between the data; Based on the medical data after data verification, pre-processing operations such as data cleaning and data standardization are performed. Data cleaning removes duplicate data records, fills in and marks missing data, and unifies medical terms and measurement units through data standardization; A data warehouse is established in the nursing information management center to store the pre-processed medical data in the data warehouse. As the patient's treatment progresses, the patient's condition changes, new diagnosis results and treatment plan data are updated in real time.

3. A patient information security management system for hepatobiliary and pancreatic internal medicine nursing according to claim 2, characterized in that: In the information classification processing module, the process of information standardization processing includes: Extract the patient's medical data from the data warehouse of the nursing information management center, and classify the patients into different disease levels according to their diagnosis results and disease severity. At the same time, mark the patient's treatment stage. The disease levels are mild, moderate, and severe, and the treatment stages are early, middle, and late. Analyze the patient's condition level and treatment stage, assess the patient's overall condition, and determine their care needs; Comprehensively analyze the patient's condition, age, and physical condition, and assess the health risks they face, and the risk of adverse events in patients; Assign unique codes to the medical data of patients with different disease levels and establish data mapping relationships to associate the patient's disease level, treatment stage, nursing needs and risk level; The classified and coded medical data are stored in the data warehouse for easy retrieval and management, and the classification and coding information is updated as the patient's condition changes.

4. A patient information security management system for hepatobiliary and pancreatic internal care according to claim 3, characterized in that: In the health trend analysis module, the process of judging the patient's current health status and health trend includes: Extract the patient's medical history records and current condition data from the preprocessed data, and comprehensively analyze and extract risk assessment features, which are medical history features and physiological indicator features, to obtain a risk assessment feature set; Analyze the patient's treatment progress based on the patient's medical history records and current condition data to determine the duration of the patient's treatment; Comprehensively analyze the associated data of medical history characteristics in the risk assessment feature set to obtain the medical history risk assessment index and evaluate the patient's treatment risk; The health status assessment index is obtained by using the correlation data of physiological indicator characteristics in the risk assessment feature set to analyze the patient's current health status and health trends.

5. A patient information security management system for hepatobiliary and pancreatic internal care according to claim 4, characterized in that: The calculation expression of the medical history risk assessment index is: ； in, is the medical history risk assessment index, is the number of medical history features, For the The severity score of each medical history feature, For the The weight coefficient of each medical history feature, No. The risk factor for each medical history characteristic, is the time that has passed since the onset of illness; The calculation expression of the health status assessment index is: ； in, is the health status assessment index, is the number of physiological indicator characteristics, For the The actual measured value of each physiological indicator characteristic, For the Normal baseline values ​​of physiological indicators, For the The severity score of each physiological indicator characteristic, is the time factor, which is the time span of the patient's overall disease course.

6. A patient information security management system for hepatobiliary and pancreatic internal care according to claim 5, characterized in that: In the risk assessment and analysis module, the process of assessing the patient's potential health risks includes: The risk assessment feature set is divided into a training set and a test set. A risk assessment model is constructed based on the training set data of the risk assessment feature set combined with a decision tree model. The trained risk assessment model is evaluated and verified using the test set data. Combined with the output of the risk assessment model, the risk assessment index of medical history, the health status assessment index and the duration of the patient's treatment are comprehensively considered to calculate the risk assessment coefficient and analyze the severity of the patient's potential health risks; According to the risk assessment results and the distribution of risk assessment coefficients, different risk levels are preset, namely low risk level, medium risk level and high risk level, and the corresponding assessment threshold is matched for each risk level; Based on the patient's risk assessment results and determined risk level, a personalized care plan is developed, which covers multiple aspects including daily care, disease monitoring, medication management, psychological support, and rehabilitation guidance.

7. A patient information security management system for hepatobiliary and pancreatic internal care according to claim 6, characterized in that: The calculation expression of the risk assessment coefficient is: ； in, is the risk assessment coefficient, is the medical history risk assessment index, is the health status assessment index, the duration of treatment the patient received, and is the weight factor, Indicates the contribution of medical history factors to the total risk assessment, Indicates the contribution of the current health status to the total risk assessment, is the decay rate, which indicates the rate at which the time factor affects the health status assessment index.

8. A patient information security management system for hepatobiliary and pancreatic internal care according to claim 7, characterized in that: The multiple risk levels correspond to the multiple assessment thresholds, the assessment thresholds include an upper threshold and a lower threshold, and the correspondence between the multiple risk levels and the multiple assessment thresholds is: Low risk level ; Medium risk level ; High risk level ; in, is the risk assessment coefficient, is the lower threshold corresponding to the medium risk level and the upper threshold corresponding to the low risk level, The lower threshold corresponding to the high risk level and the upper threshold corresponding to the medium risk level.

9. A patient information security management system for hepatobiliary and pancreatic internal care according to claim 8, characterized in that: In the risk warning plan module, the process of automatically triggering the warning signal includes: Receive the risk assessment coefficient result of the patient's potential health risk from the risk assessment analysis module, analyze the severity of the patient's potential health risk, and determine the current health risk level; Once the risk assessment results show that the patient is at high risk, an early warning signal is automatically triggered, an emergency early warning notification is sent to medical staff, the early warning information is displayed on the medical staff's workstation, and SMS and email notifications are sent to the medical staff. The early warning information contains the patient's basic information, risk assessment results, warning reasons, and recommended initial intervention measures; Formulate a nursing plan based on the risk assessment results, including daily care, condition monitoring, drug management, psychological support, and rehabilitation guidance, and assign each task in the nursing plan to the corresponding medical staff; Medical staff perform various nursing tasks according to the nursing plan and record the details of each nursing activity, including execution time, execution personnel, and patient response; Track the implementation status of nursing activities, regularly evaluate the implementation effect of nursing plans, simultaneously monitor the patient's health changes, and adaptively adjust the nursing plan based on the patient's feedback and health changes.

10. A patient information security management system for hepatobiliary and pancreatic internal care according to claim 9, characterized in that: In the information synchronization update module, the process of updating the patient's medical information in real time includes: Integrate different medical information systems, monitor patients' medical information in real time, obtain data on the entire process of patients' medical care, and set up data synchronization mechanisms, which are divided into scheduled synchronization and time-driven synchronization mechanisms. The scheduled synchronization mechanism synchronizes data at predetermined time intervals, and the time-driven synchronization mechanism synchronizes data immediately when a critical medical event occurs. Update the patient's condition and treatment information, record all activities during the nursing process, and simultaneously record the nursing decisions of medical staff; Push updated information to all relevant medical staff, update the user interface in real time on the medical staff's workstation, and remind medical staff to pay attention to information updates through system notifications; Creates documentation for newly recorded nursing activities, updates existing nursing documentation to reflect the latest nursing activities and decisions, and implements access controls to ensure authorized personnel access and update patient information.

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