Intelligent critical patient multi-dimensional management system

Abstract

The invention provides an intelligent critical patient multi-dimensional management system, and relates to the technical field of intelligent critical patient management. Comprising a data integration and cleaning module, a patient information management module, an algorithm and analysis module, a treatment scheme recommendation module and an early warning and intervention module, patient information can be mainly integrated through the data integration and cleaning module, and therefore previous treatment information of a patient can be rapidly detected. Advanced monitoring equipment and algorithms are integrated, the system can monitor vital signs of a patient in real time, early warning is immediately given out once abnormal data are detected, a quick response opportunity is provided for medical staff, the system not only monitors single vital signs such as the heart rate and the blood pressure, but also can comprehensively analyze multiple physiological parameters, and the medical staff can conveniently and quickly monitor the vital signs. Therefore, the health condition of the patient can be evaluated more comprehensively, and the trend change of data of the patient can be analyzed.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent critically ill patient management, and specifically to an intelligent multidimensional management system for critically ill patients. Background Art

[0002] Intensive care units, also known as enhanced care units (ICUs), offer simultaneous treatment, nursing, and rehabilitation. They provide isolation facilities and equipment for critically ill patients, offering optimal care, comprehensive treatment, integrated medical and nursing care, early postoperative rehabilitation, joint care, and exercise therapy. With advances in medical technology, the management of critically ill patients is becoming more refined and personalized. The following is a case study of further optimizing an intelligent, multi-dimensional management system for critically ill patients, designed to adapt to individual patient conditions and improve recovery efficiency.

[0003] The intelligent multidimensional management system for critically ill patients can be adjusted individually according to the different conditions of the patients, thereby improving the patients' rehabilitation effects. The working principles of the system include multi-parameter comprehensive evaluation, intelligent prediction and early warning, adaptive intervention strategies, personalized rehabilitation paths, and multidisciplinary collaboration and patient participation. These optimization measures not only improve the treatment effect of critically ill patients, but also improve the patients' quality of life. With the continuous advancement of technology, the intelligent multidimensional management system for critically ill patients is expected to play a greater role in future medical practice. However, the existing intelligent multidimensional management system for critically ill patients can only simply record the patients, which is inconvenient to observe the patients' physical conditions in real time and make corresponding adjustments to the treatment plan. In addition, when querying the patients themselves, most medical staff need to adjust the patients' rehabilitation plans based on their own judgment. Summary of the Invention

[0004] (1) Technical problems solved

[0005] The existing technology is inconvenient to observe the patient's physical condition in real time and requires medical staff to make their own judgment to adjust the patient's rehabilitation plan.

[0006] (2) Technical solution

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: The present invention provides an intelligent multi-dimensional management system for critically ill patients, including a hospital information system, which includes a data integration and cleaning module, a patient information management module, an algorithm and analysis module, a treatment plan recommendation module, and an early warning and intervention module. The data integration and cleaning module can mainly integrate patient information, thereby achieving the ability to quickly detect the patient's previous treatment information, and then through the cooperation between the algorithm and analysis module and the treatment plan recommendation module, it can provide the patient with the best treatment plan based on big data information.

[0008] The process includes the following steps: S1. Entering patient information:

[0009] Medical staff enter the patient's basic information, such as name, age, gender, and contact information;

[0010] Record the patient's medical history in detail, including admission time, chief complaint, current medical history, and past medical history;

[0011] Enter the patient's treatment history, including surgery, medication, blood transfusion, and radiotherapy information;

[0012] S2. Data cleaning and integration:

[0013] The system automatically cleans data, such as incorrect date formats and missing data. It uses the data integration and cleaning module to remove duplicate records, outliers, and noisy data, and integrates data from different medical systems, such as electronic medical records, laboratory reports, and imaging data.

[0014] S3. Disease monitoring and early warning:

[0015] The system monitors changes in patient data, such as heart rate, blood pressure, and body temperature. Based on preset thresholds and algorithms, the system automatically analyzes the data and identifies abnormal trends. When potential health risks are detected, the hospital system immediately issues an early warning to medical staff.

[0016] S4. Data Analysis and Gear:

[0017] Utilize artificial intelligence and big data technologies to analyze data, identify potential patterns, trends, and risk factors for patients' conditions, and generate data reports to support clinical decision-making;

[0018] S5. Recommended treatment options:

[0019] The system recommends personalized treatment plans based on the analysis structure, including drug therapy, surgical plans, and rehabilitation plans. Medical staff can evaluate and adjust the recommended plans.

[0020] S6. Medication Management:

[0021] The system tracks patients' medication use, including drug name, dosage, and medication schedule, tracks drug side effects and drug interactions, and provides medication reconstitution and adjustment recommendations;

[0022] S7. Nutrition and exercise guidance:

[0023] The system provides patients with nutrition and exercise guidance. The system provides personalized nutrition and exercise recommendations, including diet plans, exercise programs, and healthy lifestyle guidance;

[0024] S8. Patient Care and Interventions:

[0025] Medical staff provide patient care and intervention according to system recommendations, including daily care, psychological support, and rehabilitation training;

[0026] S9. Patient Rehabilitation Assessment:

[0027] Systematically evaluate the patient's rehabilitation progress, including physiological indicators, psychological state, and functional recovery, and adjust the treatment plan and care plan based on the evaluation results.

[0028] Preferably, the patient information management module includes patient information entry, data cleaning and integration, condition monitoring and early warning, treatment plan recommendation, drug management, nutrition and exercise guidance, patient care intervention, and patient rehabilitation assessment. The patient information entry is used to record the patient's past medical history, surgical history, and allergy history, and to update the patient's condition changes, medication status, and examination results in real time.

[0029] Preferably, the patient care intervention is a useful feature for analyzing the patient's condition, and is also used to perform online analysis of the patient's real-time data, provide immediate condition assessment, and issue early warnings to alert patients and medical staff.

[0030] Preferably, the data cleaning and integration, and patient information entry are used to convert data in different formats into a unified format, the data analysis and mining are used to remove duplicate data, correct erroneous data, and fill in missing data, and the early warning signal evaluation is used to predict future changes in the patient's condition and provide early warning information.

[0031] Preferably, the treatment plan recommendation can mainly realize the entry of the patient's condition into the hospital information system, making it convenient for subsequent testing of the patient.

[0032] Preferably, the disease monitoring and early warning include early warning signal recognition and early warning signal evaluation. The early warning signal recognition automatically triggers an early warning when the patient data reaches the early warning threshold. The early warning signal evaluation can mainly automatically execute or prompt medical staff to make corresponding early warning reports.

[0033] Preferably, the above includes patient rehabilitation assessment, nursing measures implementation, defined standard nursing processes and operating guidelines, and the formulation of a rehabilitation plan, a personalized rehabilitation plan based on the patient's condition and rehabilitation needs, so as to conduct a rehabilitation effect evaluation to evaluate the effectiveness of the rehabilitation measures and the patient's rehabilitation status.

[0034] Preferably, the nutrition and exercise guidance includes a nursing intervention module, which mainly provides nursing-related theoretical knowledge, operational skills and best practice rehabilitation training guidance, and provides video tutorials and guidance on rehabilitation training.

[0035] (3) Beneficial effects

[0036] The present invention provides an intelligent multi-dimensional management system for critically ill patients. It has the following beneficial effects:

[0037] 1. In the present invention, by integrating advanced monitoring equipment and algorithms, the system can realize real-time monitoring of patients' vital signs. Once abnormal data is detected, an early warning is immediately issued, providing medical staff with an opportunity to respond quickly. The system not only monitors single vital signs, such as heart rate and blood pressure, but also comprehensively analyzes multiple physiological parameters, such as respiratory rate, body temperature, blood sugar level, etc., so as to more comprehensively assess the patient's health status. By analyzing the trend changes of patient data, the system can predict the development trend of the disease, intervene in advance, avoid the deterioration of the disease, and reduce the mortality rate of critically ill patients. The system can promote data sharing and collaboration between different departments. For example, information sharing between the ICU and departments such as cardiology and neurology helps doctors fully understand the patient's condition and formulate more accurate treatment plans.

[0038] 2. In the present invention, the system can recommend personalized drug combinations and dosages based on the patient's genetic information, drug metabolizing enzyme activity, previous drug reactions and other data, thereby reducing the risk of drug side effects and drug resistance. As the patient's condition changes, the system can automatically adjust the treatment plan to ensure that the patient always receives the most appropriate treatment and improve the effectiveness of the treatment. The system can dynamically adjust the rehabilitation plan based on the patient's recovery status to ensure that every step of the patient's rehabilitation process meets the needs of their physical recovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 This is a schematic diagram of the framework of an intelligent multi-dimensional management system for critically ill patients according to the present invention;

[0040] Figure 2 This is a schematic diagram of the steps of an intelligent multi-dimensional management system for critically ill patients of the present invention;

[0041] Figure 3 This is an expanded diagram of the steps of an intelligent multi-dimensional management system for critically ill patients of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments; based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0043] Example 1:

[0044] Managing critically ill patients is a major challenge in the medical field, requiring comprehensive consideration of their physiological, psychological, and social factors. To improve treatment outcomes and quality of life for critically ill patients, this embodiment proposes an intelligent, multidimensional management system for critically ill patients. By integrating patient information, data analysis, and intelligent decision support, this system enables comprehensive management and personalized services for critically ill patients.

[0045] like Figure 1 Shown: Patient information management module: responsible for collecting, storing and managing patients' personal information, medical history and real-time condition data.

[0046] 1. Data integration and cleaning module: responsible for integrating data from different data sources and performing cleaning and standardization.

[0047] Algorithm and analysis module: Use machine learning algorithms to conduct in-depth analysis of data to provide disease prediction and trend assessment.

[0048] Treatment plan recommendation module: recommends personalized treatment plans based on the patient's condition and the doctor's expertise.

[0049] Early warning and intervention module: monitors the patient's vital signs in real time, and immediately issues an early warning and initiates intervention measures if any abnormality is detected.

[0050] Nursing and Rehabilitation Module: Provides nursing guidance and rehabilitation plans to help patients recover their health.

[0051] Patient Information Management Module Implementation:

[0052] Information entry: Medical staff enter the patient's basic information, medical history, surgical history, allergy history, etc. through the electronic medical record system.

[0053] Real-time updates: Medical staff update patients’ vital signs, symptoms, test results, etc. in real time.

[0054] Document storage: Stores patients' medical records, examination reports, imaging data and other medical documents.

[0055] Data access: Access to the hospital's existing electronic medical record system, monitoring equipment, laboratory system, etc.

[0056] Data conversion: Convert data in different formats to ensure unified data formats.

[0057] Data cleaning: remove duplicate data, correct erroneous data, and fill in missing data.

[0058] Data storage: The cleaned data is stored in the database for subsequent analysis.

[0059] 2. Patient information management module:

[0060] Patient information entry data preprocessing, data analysis and mining, and early warning signal evaluation. The patient information entry is used to convert data in different formats into a unified format. The data analysis and mining are used to remove duplicate data, correct erroneous data, and fill in missing data. The early warning signal evaluation is used to predict the patient's future condition changes and provide early warning information.

[0061] 3. Implementation of algorithm and analysis module:

[0062] Feature extraction: Extract features useful for disease analysis from raw data, such as heart rate, blood pressure, respiratory rate, etc.

[0063] Model training: Use machine learning algorithms, such as decision trees and neural networks, to train prediction models.

[0064] Real-time analysis: Online analysis of patients' real-time data to provide immediate condition assessment.

[0065] Trend prediction: Predict the future trend of patients' condition changes to provide a basis for early warning.

[0066] 4. Implementation of treatment plan recommendation module:

[0067] Treatment plan library: Establish a database containing multiple treatment plans and drug combinations.

[0068] Treatment effect evaluation: Evaluate the pros and cons of different treatment options based on the patient's treatment effects and historical data.

[0069] Personalized recommendation: Recommend the best treatment plan based on the patient's condition, medical history, drug allergy history and other factors.

[0070] 5. Implementation of early warning and intervention modules:

[0071] Early warning rule base: defines the conditions and thresholds for triggering early warnings, such as abnormal vital signs, worsening of the disease condition, etc.

[0072] Early warning trigger: When the patient data reaches the early warning threshold, the system automatically triggers an early warning.

[0073] Intervention library: provides intervention measures and suggestions for different warnings.

[0074] Intervention execution: Automatically execute or prompt medical staff to execute corresponding intervention measures.

[0075] Recommended treatment options:

[0076] A patient was admitted to the hospital with chronic obstructive pulmonary disease. Based on the patient's condition and treatment effectiveness, the system recommended a targeted treatment plan. After a period of treatment, the patient's condition improved significantly.

[0077] This example describes in detail the implementation of an intelligent, multidimensional management system for critically ill patients. By integrating patient information, data analysis, and intelligent decision support, the system provides comprehensive, personalized medical management services for critically ill patients. Practice has demonstrated significant advantages in improving treatment outcomes, reducing medical costs, and improving patients' quality of life. With the continuous advancement of medical technology, the intelligent, multidimensional management system for critically ill patients is expected to play an even greater role in the management of critically ill patients.

[0078] Example 2:

[0079] like Figure 3 As shown: Acute renal failure is a common complication in critically ill patients, requiring precise condition monitoring, timely treatment plan adjustments, and professional nursing intervention. This example demonstrates the effectiveness of an intelligent multi-dimensional management system for critically ill patients through condition monitoring, treatment plan generation, and nursing intervention implementation.

[0080] S1. Patient information entry:

[0081] First, the medical staff enters the patient's basic information, such as name, age, gender, and contact information;

[0082] Record the patient's medical history in detail, including admission time, chief complaint, current medical history, and past medical history;

[0083] Enter the patient's treatment history, including surgery, medication, blood transfusion, and radiotherapy information;

[0084] S2. Data cleaning and integration:

[0085] The system then automatically cleans the data. For example, if the date format is incorrect or the data is missing, the data integration and cleaning module is used to remove duplicate records, outliers, and noise data. It also integrates data from different medical systems, such as electronic medical records, laboratory reports, and imaging data.

[0086] S3. Disease monitoring and early warning:

[0087] The system monitors changes in patient data, such as heart rate, blood pressure, and body temperature. Based on preset thresholds and algorithms, the system automatically analyzes the data and identifies abnormal trends. When potential health risks are detected, the hospital system immediately issues an early warning to medical staff.

[0088] S4. Data Analysis and Gear:

[0089] Utilize artificial intelligence and big data technologies to analyze data, identify potential patterns, trends, and risk factors for patients' conditions, and generate data reports to support clinical decision-making;

[0090] S5. Recommended treatment options:

[0091] The system recommends personalized treatment plans based on the analysis structure, including drug therapy, surgical plans, and rehabilitation plans. Medical staff can evaluate and adjust the recommended plans.

[0092] S6. Medication Management:

[0093] The system tracks patients' medication use, including drug name, dosage, and medication schedule, tracks drug side effects and drug interactions, and provides medication reconstitution and adjustment recommendations;

[0094] S7. Nutrition and exercise guidance:

[0095] The system provides patients with nutrition and exercise guidance. The system provides personalized nutrition and exercise recommendations, including diet plans, exercise programs, and healthy lifestyle guidance;

[0096] S8. Patient Care and Interventions:

[0097] Medical staff provide patient care and intervention according to system recommendations, including daily care, psychological support, and rehabilitation training;

[0098] S9. Patient Rehabilitation Assessment:

[0099] Systematically evaluate the patient's rehabilitation progress, including physiological indicators, psychological state, and functional recovery, and adjust the treatment plan and care plan based on the evaluation results.

[0100] After the patient was admitted to the hospital, the system began monitoring their renal function. On the first day, the patient's blood creatinine level rose sharply, and urine output decreased. The system immediately triggered an alert and generated a preliminary treatment plan, recommending immediate hemodialysis.

[0101] At the same time, medical staff performed the patient's first hemodialysis session based on the system-generated treatment plan. During the dialysis session, the system continuously monitored the patient's vital signs and dialysis parameters. The next day, the patient's blood creatinine level began to decrease, and urine output increased.

[0102] Based on the new test data, the system adjusted the dialysis plan and reduced the frequency of dialysis. At the same time, the system-generated care plan guided medical staff to adjust the patient's diet and body position to promote kidney function recovery.

[0103] Accurate condition monitoring: The system detects changes in the patient's condition in a timely manner through real-time monitoring to prevent the condition from worsening.

[0104] Dynamic adjustment of treatment plan: The system dynamically adjusts the treatment plan based on the patient's actual response to improve the treatment effect.

[0105] Personalized nursing measures: The system-generated nursing plan ensures that patients receive personalized care and promotes recovery.

[0106] Improved work efficiency of medical staff: The system reduces the workload of medical staff, allowing them to focus more on direct patient care and the implementation of treatment plans.

[0107] Through the above embodiments, the intelligent multi-dimensional management system for critically ill patients has demonstrated its powerful monitoring, analysis and intervention capabilities in the management of patients with acute renal failure, effectively improving the treatment effect and nursing quality of patients.

[0108] Example 3:

[0109] like Figure 2 As shown: The treatment of critically ill patients often requires multidisciplinary collaboration. This embodiment introduces the application of an intelligent multidimensional management system for critically ill patients in multidisciplinary collaboration.

[0110] S1. Enter patient information;

[0111] By integrating patient information record query, data preprocessing, and patient information entry, data in different formats can be converted into a unified format;

[0112] S2, data analysis and mining;

[0113] Used to remove duplicate data, correct erroneous data, and fill in missing data. The early warning signal evaluation is used to predict the patient's future condition changes and provide early warning information;

[0114] S3, disease monitoring and early warning;

[0115] The useful features of patient condition analysis are also used to conduct online analysis of patients' real-time data, provide immediate condition assessment, and then through drug management, make real-time management recommendations for patients' drug treatment. In addition, through condition monitoring and early warning, the patient's physical condition can be monitored at all times, so that early warnings can be issued, thereby improving treatment effects.

[0116] S4, data analysis and processing;

[0117] Utilize artificial intelligence and big data technologies to analyze data, identify potential patterns, trends, and risk factors for patients' conditions, and generate data reports to support clinical decision-making;

[0118] S5. Treatment plan recommendation;

[0119] The system recommends personalized treatment plans based on the analysis structure, including drug therapy, surgical plans, and rehabilitation plans. Medical staff can evaluate and adjust the recommended plans.

[0120] S6. Medication management;

[0121] Medication usage records enable it to analyze and monitor which medications are more suitable for patients, thereby further improving the patient's physical recovery. Then, through real-time detection data, it can generate the patient's optimal treatment plan;

[0122] S7, nutrition and exercise guidance;

[0123] The system provides patients with nutrition and exercise guidance. The system provides personalized nutrition and exercise recommendations, including diet plans, exercise programs, and healthy lifestyle guidance;

[0124] S8, Patient Care and Intervention;

[0125] Medical staff provide patient care and intervention according to system recommendations, including daily care, psychological support, and rehabilitation training;

[0126] S9. Patient rehabilitation assessment;

[0127] Ability to assess the patient's physical condition, enabling the patient to adjust treatment and care plans based on physiological indicators, psychological state, and functional recovery.

[0128] At the same time, through the patient's historical records, it can more easily monitor the patient's condition, and through the drug usage records, it can monitor which drugs are more suitable for the patient based on analysis, thereby further improving the patient's physical recovery. Then, through real-time detection data, it can generate the patient's optimal treatment plan.

[0129] Data analysis and mining include early warning signal identification and evaluation. The identification automatically triggers an alert when patient data reaches a threshold. The evaluation automatically executes or prompts medical staff to generate corresponding early warning reports. It also facilitates communication and collaboration among doctors, nurses, pharmacists, and others through the hospital information system.

[0130] The system enables data sharing between different departments and improves medical efficiency.

[0131] Personalized treatment: The system recommends personalized treatment plans based on the patient's condition and the doctor's expertise.

[0132] Medical staff first enter the patient information so that they can understand the patient's basic information, and then through data cleaning and integration, they can integrate the patient's basic information. At the same time, through the data analysis and processing module, they can analyze the patient's previous condition and provide effective treatment recommendations.

[0133] At the same time, medical staff use the disease monitoring module to analyze the useful features of the patient's disease condition, and to conduct online analysis of the patient's real-time data to provide immediate disease assessment. Through drug management, they can make real-time management recommendations for the patient's drug treatment. Through disease monitoring and early warning, they can monitor the patient's physical condition at all times, so as to issue early warnings, thereby improving the treatment effect. And by managing drugs, it is convenient for patients to take the drugs they need scientifically according to recommendations.

[0134] At the same time, according to the nutrition and exercise guidance provided, it will be able to improve the patient's later recovery effect.

[0135] Medical staff provide patient care and intervention based on system recommendations, including daily care, psychological support, and rehabilitation training.

[0136] Then, through the patient rehabilitation assessment, the patient's physical condition can be evaluated, so that the patient's physiological indicators, psychological state, and functional recovery can be adjusted according to the assessment results. Treatment and care plans.

[0137] Through the above-mentioned optimization solution, the intelligent multidimensional management system for critically ill patients can be personalized based on individual patient conditions, thereby improving their recovery outcomes. This system integrates comprehensive multi-parameter assessment, intelligent prediction and early warning, adaptive intervention strategies, personalized rehabilitation pathways, and multidisciplinary collaboration and patient engagement. These optimization measures not only improve treatment outcomes for critically ill patients, but also enhance their quality of life. With continued technological advancement, the intelligent multidimensional management system for critically ill patients is expected to play an even greater role in future medical practice.

[0138] Working principle: First, the patient information is recorded through patient information entry, including admission time, chief complaint, current medical history, past medical history, etc., and the patient's treatment history is entered, including surgery, medication, blood transfusion, radiotherapy and other information. At the same time, it is convenient to view the patient's previous treatment records later, improving the convenience of use for medical staff. At the same time, the system integrates various medical equipment and sensors to collect the patient's vital signs, laboratory test results, imaging data, etc. in real time. The data is pre-processed, including cleaning, standardization and format conversion, to ensure data quality. At the same time, the disease monitoring and early warning module uses artificial intelligence algorithms to analyze the patient's vital signs data in real time and detect When abnormal situations occur, early warnings will be issued in time. The data analysis and processing module can identify the patient's disease pattern, predict the development trend of the disease, and generate corresponding reports. The treatment plan recommendation module can provide patients with the best treatment plan based on clinical experience and medical research. The drug management module can update drug information in real time and provide an assessment of drug safety and effectiveness. The nutrition and exercise guidance module formulates personalized nutrition and exercise plans based on the patient's specific situation. The patient care and intervention module provides real-time nursing advice and intervention measures according to changes in the patient's condition. The patient rehabilitation assessment module tracks the patient's rehabilitation data, evaluates the treatment effect, and adjusts the rehabilitation plan.

[0139] Although the embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and deformations may be made to these embodiments without departing from the principles and spirit of the present invention. Finally, it should be noted that the foregoing are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, it will be apparent to those skilled in the art that the technical solutions described in the aforementioned embodiments may be modified or some of the technical features may be replaced by equivalents. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of the present invention and defined by the appended claims and their equivalents.

Claims

1. An intelligent multi-dimensional management system for critically ill patients, including a hospital information system, characterized in that: The hospital information system includes a data integration and cleaning module, a patient information management module, an algorithm and analysis module, a treatment plan recommendation module, and an early warning and intervention module. The data integration and cleaning module can mainly integrate patient information, thereby achieving the goal of quickly detecting the patient's previous treatment information, and then through the cooperation between the algorithm and analysis module and the treatment plan recommendation module, it can provide the patient with the best treatment plan based on big data information.

2. According to claim 1, an intelligent multi-dimensional management system for critically ill patients is characterized by: The following steps are included: S1. Patient information entry: Medical staff enter the patient's basic information, such as name, age, gender, and contact information; Record the patient's medical history in detail, including admission time, chief complaint, current medical history, and past medical history; Enter the patient's treatment history, including surgery, medication, blood transfusion, and radiotherapy information; S2. Data cleaning and integration: The system automatically cleans data, such as incorrect date format and missing data. It uses the data integration and cleaning module to remove duplicate records, outliers and noisy data, and integrates data from different medical systems, such as electronic medical records, laboratory reports, and imaging data; S3. Disease monitoring and early warning: The system monitors changes in the patient's condition, such as heart rate, blood pressure, and body temperature. Based on preset thresholds and algorithms, the system automatically analyzes the data and identifies abnormal trends. When potential health risks are detected, the hospital system immediately issues an early warning to medical staff. S4, Data Analysis and Gear: Use artificial intelligence and big data technologies to analyze data, identify potential patterns, trends and risk factors of patients' conditions, generate data reports and provide support for clinical decision-making; S5. Recommended treatment options: The system recommends personalized treatment plans based on the analysis structure, including drug therapy, surgical plans, and rehabilitation plans. Medical staff can evaluate and adjust the recommended plans. S6. Medication management: The system tracks patients’ medication use, including drug name, dosage, and medication schedule, tracks drug side effects and drug interactions, and provides medication reconstitution and medication adjustment recommendations; S7. Nutrition and exercise guidance: The system provides patients with nutrition and exercise guidance. The system provides personalized nutrition and exercise advice, including diet plans, exercise programs, and healthy lifestyle guidance; S8. Patient Care and Intervention: Medical staff provide patient care and intervention according to system recommendations, including daily care, psychological support, and rehabilitation training; S9. Patient rehabilitation assessment: Systematically evaluate the patient's rehabilitation progress, including physiological indicators, psychological state, and functional recovery, and adjust the treatment plan and care plan based on the evaluation results.

3. According to claim 1, an intelligent multi-dimensional management system for critically ill patients is characterized by: The patient information management module includes patient information entry, data cleaning and integration, condition monitoring and early warning, treatment plan recommendation, drug management, nutrition and exercise guidance, patient nursing intervention, and patient rehabilitation assessment. The patient information entry is used to record the patient's past medical history, surgical history, and allergy history, and to update the patient's condition changes, medication status, and examination results in real time.

4. According to claim 3, an intelligent multi-dimensional management system for critically ill patients is characterized by: The patient care intervention is used for useful features of the patient's condition analysis, and is also used for online analysis of the patient's real-time data, providing immediate condition assessment, and issuing early warnings to alert patients and medical staff.

5. According to claim 3, an intelligent multi-dimensional management system for critically ill patients is characterized by: The data cleaning and integration and patient information entry are used to convert data in different formats into a unified format. The data analysis and mining are used to remove duplicate data, correct erroneous data, and fill in missing data. The early warning signal evaluation is used to predict future changes in the patient's condition and provide early warning information.

6. The intelligent multi-dimensional management system for critically ill patients according to claim 3 is characterized by: The treatment plan recommendation can mainly realize the entry of the patient's condition into the hospital information system, making it convenient for subsequent testing of the patient.

7. The intelligent multi-dimensional management system for critically ill patients according to claim 3 is characterized by: The condition monitoring and early warning include early warning signal recognition and early warning signal evaluation. The early warning signal recognition automatically triggers an early warning when the patient data reaches the early warning threshold. The early warning signal evaluation can mainly automatically execute or prompt medical staff to make corresponding early warning reports.

8. An intelligent multi-dimensional management system for critically ill patients according to claim 3, characterized in that: The above includes patient rehabilitation assessment, implementation of nursing measures, definition of standard nursing processes and operating guidelines, and formulation of rehabilitation plans. Individualized rehabilitation plans are formulated according to the patient's condition and rehabilitation needs, so as to conduct rehabilitation effect evaluation, which is used to evaluate the effectiveness of rehabilitation measures and the patient's rehabilitation status. The intelligent multi-dimensional management system for critically ill patients according to claim 3 is characterized by: The nutrition and exercise guidance includes a nursing intervention module, which mainly provides nursing-related theoretical knowledge, operational skills and best practice rehabilitation training guidance, and provides video tutorials and guidance for rehabilitation training.

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