Intelligent nursing data task scheduling management system based on cloud computing

Abstract

The invention discloses an intelligent nursing data task scheduling management system based on cloud computing, and relates to the technical field of nursing scheduling management. The cloud computing platform is in communication connection with a data acquisition module, a data storage module, a data processing and analysis module, a nursing evaluation module, a task scheduling module, a report generation module and a user interaction module, and all the modules are in electric signal connection. According to the intelligent nursing data task scheduling management system based on cloud computing, through calculation of the task scheduling evaluation model and the emergency degree evaluation value, the emergency degree and priority of the nursing tasks are evaluated, priority ranking is carried out on the nursing tasks, intelligent scheduling of the nursing tasks is achieved, it is ensured that the emergency and important tasks are processed preferentially, and the task scheduling efficiency is improved. The nursing efficiency and quality are improved, meanwhile, reasonable allocation can be carried out according to the priority of the tasks and available nursing resources, and resource utilization is further optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of nursing scheduling management, and in particular to an intelligent nursing data task scheduling management system based on cloud computing. Background Art

[0002] With the development of population aging, the morbidity and mortality of chronic diseases remain high, posing a serious threat to health. Therefore, the demand for efficient and personalized nursing services is also growing. Cloud computing, as an Internet-based computing method, has the characteristics of ultra-large scale, virtualization, high reliability, versatility, high scalability, and on-demand services. The rapid development of cloud computing technology has provided strong technical support and solutions for intelligent nursing. Intelligent nursing is a new concept that has emerged with smart medical care. Medical data can be collected, stored, evaluated, classified, edited and applied through system computing, cloud computing, Internet of Things and data fusion technologies to achieve sharing of medical resources.

[0003] In the process of nursing task scheduling and management, due to the large amount of nursing data involved, it is difficult to reasonably allocate nursing tasks according to their urgency and priority, resulting in low nursing efficiency. Therefore, how to comprehensively analyze the urgency and priority of nursing tasks, prioritize nursing tasks, and implement optimization measures in stages is the problem we need to solve. To this end, this paper proposes an intelligent nursing data task scheduling and management system based on cloud computing. Summary of the invention

[0004] To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent nursing data task scheduling management system based on cloud computing, comprising a cloud computing platform, wherein the cloud computing platform is communicatively connected with a data acquisition module, a data storage module, a data processing and analysis module, a nursing assessment module, a task scheduling module, a report generation module and a user interaction module, wherein the modules are connected by electrical signals;

[0005] The data acquisition module is used to collect the original data of patients' vital signs, nursing records, and medical advice information from intelligent nursing equipment and clinical information systems to ensure the comprehensiveness and timeliness of the data and provide accurate data support for subsequent task scheduling;

[0006] The data storage module is used to store the collected nursing data and patient information in the cloud, ensure the security and accessibility of the data, realize the centralized management and rapid retrieval of the data, and provide a basis for subsequent data analysis and decision-making;

[0007] The data processing and analysis module is used to integrate and analyze the collected data, extract feature information related to task scheduling, and obtain a feature set to assist in evaluating the urgency and priority of nursing tasks and provide a scientific basis for task scheduling;

[0008] The nursing assessment module evaluates the patient's current nursing tasks and effects, evaluates the urgency of nursing tasks, and determines the priority of nursing tasks, providing a basis for nursing quality control and helping nursing managers optimize nursing processes;

[0009] The task scheduling module prioritizes nursing tasks according to the urgency and priority evaluation results of nursing tasks, realizes intelligent scheduling of nursing tasks, ensures that urgent and important tasks are handled first, and improves nursing efficiency and quality;

[0010] The report generation module is used to automatically generate nursing work reports, including nursing task urgency, priority, patient satisfaction index, and nursing quality statistics, to provide data support for nursing management and help hospital management make scientific decisions;

[0011] The user interaction module provides an operation interface for nursing staff and managers, displays task scheduling results and task execution status information, improves the usability of the system and user satisfaction, and facilitates nursing staff to quickly understand the task status and respond.

[0012] Preferably, the data acquisition module specifically includes:

[0013] Configure intelligent nursing equipment (health monitor) and clinical information system (electronic medical record system, doctor's order system) to connect them with the data acquisition module, and collect patient nursing data from the intelligent nursing equipment and clinical information system;

[0014] Identify the collected data, including the patient's identity information, vital signs (such as heart rate, blood pressure, body temperature, etc.), nursing records (such as nursing operations, observation results, etc.), and doctor's order information data (such as drug use, examination arrangements, etc.), to ensure the accuracy and traceability of the data;

[0015] Establish real-time data flow, so that intelligent nursing equipment and clinical information system transmit data to data acquisition module in real time, ensure the timeliness of data, so as to respond to changes in patient conditions in a timely manner, and perform preliminary processing on the collected raw data, including denoising, formatting and standardization steps, to improve data quality and lay a good foundation for subsequent data analysis and processing;

[0016] Performing quality checks on preprocessed data, including data integrity, accuracy, and timeliness, helps to promptly identify and resolve data quality issues, improve data credibility, and upload processed data to the data storage module.

[0017] Preferably, the data storage module specifically includes:

[0018] Upload the pre-processed nursing data and patient information data to the cloud through a secure channel (HTTPS). During the upload process, ensure the integrity and accuracy of the data, and use a strong encryption algorithm (AES-256) and key management strategy to encrypt the data stored in the cloud to prevent data leakage and unauthorized access, ensuring data security;

[0019] Back up data stored in the cloud to prevent data loss or damage, and establish a data recovery mechanism, including data recovery plans, recovery processes, and recovery tools, so that data can be quickly restored in the event of data loss or damage to ensure data availability;

[0020] Use hash index technology to map data into hash tables through hash functions, create indexes for data stored in the cloud, improve data retrieval efficiency, and classify and archive data according to data type. Divide nursing data into vital signs data and treatment records, divide patient information into basic information and medical history records, and establish a data directory structure to facilitate users to quickly find the required data.

[0021] Preferably, in the data processing and analysis module, the process of acquiring the feature set includes:

[0022] Through data mapping, conversion and merging operations, data collected from multiple data sources such as smart nursing devices, electronic medical record systems, and doctor's order systems are integrated into a unified data warehouse to ensure data consistency and integrity, provide a comprehensive data view for subsequent analysis, and perform data cleaning to identify and process missing values, outliers, and duplicate records in the data, improve data quality, and ensure the accuracy of analysis results;

[0023] Extract features related to nursing task scheduling from the integrated data, including changes in patients' vital signs, frequency of nursing operations, and urgency of nursing needs. Organize and analyze the feature data to obtain a structured feature set, which provides input for subsequent model construction and comprehensively reflects patients' health status, nursing needs, and utilization of medical resources.

[0024] Using the constructed feature set and combining it with the decision tree classification algorithm, a task scheduling evaluation model is established, and the performance of the task scheduling evaluation model is evaluated and optimized to ensure the reliability of the model's prediction results and improve the accuracy of task scheduling. Then, using the trained task scheduling evaluation model, nursing tasks are scored according to changes in patients' vital signs, the frequency of nursing operations, and the urgency of nursing needs, to evaluate the urgency and priority of nursing tasks.

[0025] Preferably, in the nursing assessment module, the assessment process of the urgency of nursing tasks includes:

[0026] Extract the nursing task scheduling characteristics of the patient's current nursing task, analyze the patient's vital signs changes, the frequency of nursing operations, and the urgency of nursing needs, wherein the extracted patient's current vital signs data are compared with normal values, the percentage of deviation from normal values ​​is calculated for quantification, and the abnormal degree of vital signs is analyzed. The frequency of nursing operations is based on the rate of change of the number of nursing operations received within equal time intervals, reflecting the intensity of the patient's nursing needs. According to the doctor's orders and the patient's complaints, the urgency of nursing needs is evaluated;

[0027] For the characteristics of vital sign changes, nursing operation frequency, and nursing need urgency, standard scores are preset, and the score of each feature is calculated based on the characteristic data of the patient's current nursing task. The urgency of nursing needs is assessed based on the doctor's orders and the patient's complaints, and the urgency of nursing needs is scored using the Likert scale, which is then standardized to a value between 0 and 1;

[0028] The extracted nursing task scheduling features are input into the task scheduling evaluation model to quantify the abnormal degree of the patient's vital signs and the urgency factors of the doctor's orders, and calculate the urgency evaluation value of each nursing task;

[0029] According to the urgency evaluation value of the nursing task and the evaluation result of the urgency of the nursing task, different priority levels are set, namely, the first priority level, the medium priority level and the second priority level, and the corresponding evaluation threshold is set for each priority level based on the threshold range of the urgency evaluation value;

[0030] Based on the patient's current nursing task characteristic data, determine the priority of nursing tasks, generate a nursing task priority list, clarify the execution order of nursing tasks, optimize the nursing process, and ensure the rational allocation of resources.

[0031] Preferably, the calculation formula of the urgency evaluation value is:

[0032] ;

[0033] ;

[0034] in, is the urgency evaluation value, Score of the patient's current vital signs. To score normal values ​​of vital signs according to clinical criteria, is the score of nursing operation frequency, is the current number of nursing operations, and is the minimum and maximum value of the normal range of nursing operation times, Score the normal value of nursing operation frequency according to the nursing standards, Rate the urgency of care needs, Score the normal value of the urgency of nursing needs based on clinical criteria, , and is the weight coefficient, which is used to adjust the influence of each feature on the urgency evaluation value. It should be noted that The value range is from 0 to 1, where 0 represents the lowest urgency and 1 represents the highest urgency.

[0035] Preferably, the plurality of priority levels correspond to the plurality of evaluation thresholds, wherein the evaluation thresholds include an upper threshold and a lower threshold;

[0036] The plurality of priority levels and the plurality of evaluation thresholds satisfy the following relationship:

[0037] First-class level ;

[0038] Medium-excellent grade ;

[0039] Suboptimal Grade ;

[0040] in, is the urgency evaluation value, is the lower threshold corresponding to the medium-excellent level and the upper threshold corresponding to the first-excellent level, is the lower threshold corresponding to the medium-optimal level and the upper threshold corresponding to the suboptimal level, , .

[0041] Preferably, in the task scheduling module, the process of prioritizing nursing tasks includes:

[0042] Collect the urgency and priority evaluation results of each nursing task from the nursing evaluation module, and integrate the collected evaluation results into the task scheduling module to form a list of tasks to be scheduled;

[0043] According to the urgency evaluation value of the nursing task and the preset priority level, all tasks to be scheduled are sorted, the execution order of the tasks is determined, and urgent and important tasks are executed first. According to the priority of the task and the available nursing resources (such as nursing staff, equipment, time, etc.), the resource utilization is optimized to ensure that the tasks can be completed on time;

[0044] Develop scheduling strategies based on priority sorting and resource allocation. Scheduling strategies are developed based on the urgency of the task, resource constraints, and the skill level of the nursing staff. Generate specific nursing task scheduling plans based on the scheduling strategies, clarify the execution order, execution time, and key information of the executors of each task, and ensure that nursing staff can clearly understand the execution order and time of the tasks so that they can prepare and arrange them;

[0045] Medical staff perform nursing tasks according to the task scheduling plan to ensure that patients receive timely care, and monitor the execution of tasks in real time. They dynamically adjust the scheduling plan according to actual conditions to respond to emergencies and changes and maintain the timeliness and effectiveness of the scheduling plan.

[0046] Preferably, in the report generation module, the generation process of the nursing work report includes:

[0047] Obtain the urgency and priority data of nursing tasks from the nursing assessment module, obtain patient satisfaction indicators and nursing quality-related data from the clinical information system, ensure the reliability of the data source and the integrity of the data, clean the collected data, remove duplicate, invalid or erroneous data, and integrate the data to ensure the accuracy and consistency of the data;

[0048] Build a report structure that includes key data fields such as nursing task urgency, priority, patient satisfaction indicators, and nursing quality statistics, and configure report generation parameters such as report cycle, report format, and data screening conditions;

[0049] Nursing work reports are automatically generated based on the constructed report architecture and configured parameters, using charts and graphs to visualize key data indicators and trends, ensuring that data visualization is intuitive and easy to understand, helping to quickly identify problems and trends. After reviewing the nursing work report, it will be released to relevant nursing staff via email or internal system notifications.

[0050] Preferably, the user interaction module specifically includes:

[0051] The user interaction module is used to display the task scheduling results in real time to ensure that nursing staff and managers can keep abreast of the latest developments of the tasks. The scheduling results include the urgency, priority, executor, and execution time of the tasks. The urgency of the tasks is indicated by color coding, with red indicating the first priority, yellow indicating the medium priority, and green indicating the second priority, to help users quickly identify which tasks need to be handled first.

[0052] The user interaction module tracks the execution status of tasks in real time, including task progress, completion, and whether problems are encountered. The execution status information is marked by icons and colors for users to quickly identify;

[0053] The execution process of the task is recorded in detail, including the execution time, executor, and operation content. The recorded information is available for users to review at any time, which helps to trace the cause of the problem and summarize the lessons learned.

[0054] The present invention provides an intelligent nursing data task scheduling and management system based on cloud computing. It has the following beneficial effects:

[0055] 1. The intelligent nursing data task scheduling and management system based on cloud computing evaluates the urgency and priority of nursing tasks through the calculation of task scheduling evaluation model and urgency evaluation value, prioritizes nursing tasks, realizes intelligent scheduling of nursing tasks, ensures that urgent and important tasks are handled first, improves nursing efficiency and quality, and at the same time, can reasonably allocate tasks according to their priority and available nursing resources, further optimizing resource utilization.

[0056] 2. The intelligent nursing data task scheduling and management system based on cloud computing can realize the real-time scheduling and status update of nursing tasks through the powerful data processing capabilities of the cloud computing platform, and instantly obtain the latest dynamics of the tasks, including urgency, priority, executors and time, and key information. It not only ensures the timely allocation and execution of tasks, but also allows managers to make dynamic adjustments according to the progress of tasks, and effectively respond to emergencies or changes in priorities. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 This is a diagram of the components of an intelligent nursing data task scheduling management system based on cloud computing according to the present invention;

[0058] Figure 2 The present invention is a flowchart for evaluating the urgency of nursing tasks;

[0059] Figure 3 The present invention is a flowchart for prioritizing nursing tasks. DETAILED DESCRIPTION

[0060] 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.

[0061] The first embodiment, as Figure 1As shown, the present invention provides a technical solution: an intelligent nursing data task scheduling management system based on cloud computing, including a cloud computing platform, the cloud computing platform is communicatively connected with a data acquisition module, a data storage module, a data processing and analysis module, a nursing assessment module, a task scheduling module, a report generation module and a user interaction module, wherein the modules are connected by electrical signals;

[0062] The data acquisition module is used to collect the original data of patients' vital signs, nursing records, and medical order information from intelligent nursing equipment and clinical information systems to ensure the comprehensiveness and timeliness of the data and provide accurate data support for subsequent task scheduling. Intelligent nursing equipment (health monitors) and clinical information systems (electronic medical record systems, medical order systems) are configured to connect them to the data acquisition module, and the nursing data of patients is collected from intelligent nursing equipment and clinical information systems. The collected data is identified, including the patient's identity information, vital signs (such as heart rate, blood pressure, body temperature, etc.), nursing records (such as nursing operations, observation results, etc.), and medical order information data (such as medication The module is responsible for ensuring the accuracy and traceability of data, establishing real-time data flow so that intelligent nursing equipment and clinical information systems can transmit data to the data acquisition module in real time to ensure the timeliness of data so as to respond to changes in patient conditions in a timely manner, and performing preliminary processing on the collected raw data, including denoising, formatting and standardization steps, to improve data quality and lay a good foundation for subsequent data analysis and processing; performing quality checks on pre-processed data, including data integrity, accuracy and timeliness, to help timely discover and resolve data quality issues and improve data credibility; and uploading processed data to the data storage module;

[0063] The data storage module is used to store the collected nursing data and patient information in the cloud, ensure the security and accessibility of the data, realize the centralized management and rapid retrieval of the data, and provide a basis for subsequent data analysis and decision-making. The pre-processed nursing data and patient information data are uploaded to the cloud through a secure channel (HTTPS). During the upload process, the integrity and accuracy of the data are ensured, and a strong encryption algorithm (AES-256) and key management strategy are used to encrypt the data stored in the cloud to prevent data leakage and unauthorized access, ensure the security of the data, back up the data stored in the cloud to prevent data loss or damage, and establish a data recovery mechanism, including a data recovery plan, recovery process and recovery tools, so that the data can be quickly restored when the data is lost or damaged to ensure the availability of the data. The hash index technology is used to map the data into a hash table through a hash function, and an index is established for the data stored in the cloud to improve the retrieval efficiency of the data. The data is classified and archived according to the type of data, and the nursing data is divided into the categories of vital signs data and treatment records, and the patient information is divided into the categories of basic information and medical history records. A data directory structure is established to facilitate users to quickly find the required data;

[0064] The data processing and analysis module is used to integrate and analyze the collected data, extract feature information related to task scheduling, and obtain feature sets to assist in evaluating the urgency and priority of nursing tasks, and provide a scientific basis for task scheduling. Through data mapping, conversion, and merging operations, the data collected from multiple data sources such as intelligent nursing equipment, electronic medical record systems, and physician order systems are integrated into a unified data warehouse to ensure data consistency and integrity, provide a comprehensive data view for subsequent analysis, and perform data cleaning to identify and process missing values, outliers, and duplicate records in the data to improve data quality and ensure the accuracy of analysis results. Features related to nursing task scheduling are extracted from the integrated data and are classified into patient The changes in the patient's vital signs, the frequency of nursing operations, and the urgency of nursing needs are analyzed, and the feature data is organized and analyzed to obtain a structured feature set to provide input for subsequent model construction, which comprehensively reflects the patient's health status, nursing needs, and the utilization of medical resources. The constructed feature set is used in combination with the decision tree classification algorithm to establish a task scheduling evaluation model, and the performance of the task scheduling evaluation model is evaluated and optimized to ensure that the model's prediction results are reliable and improve the accuracy of task scheduling. Then, the trained task scheduling evaluation model is used to score nursing tasks according to the patient's vital signs changes, the frequency of nursing operations, and the urgency of nursing needs, and to evaluate the urgency and priority of nursing tasks.

[0065] Nursing assessment module evaluates the patient's current nursing tasks and effects, assesses the urgency of nursing tasks, and determines the priority of nursing tasks, providing a basis for nursing quality control and helping nursing managers optimize the nursing process;

[0066] The task scheduling module prioritizes nursing tasks according to the urgency and priority evaluation results of nursing tasks, realizes intelligent scheduling of nursing tasks, ensures that urgent and important tasks are handled first, and improves nursing efficiency and quality;

[0067] The report generation module is used to automatically generate nursing work reports, including nursing task urgency, priority, patient satisfaction indicators, and nursing quality statistics, providing data support for nursing management and helping hospital management make scientific decisions;

[0068] The user interaction module provides an operation interface for nursing staff and managers, displays task scheduling results and task execution status information, improves the system's usability and user satisfaction, and facilitates nursing staff to quickly understand the task status and respond.

[0069] The second embodiment is based on the first embodiment. Figure 2 , Figure 3 As shown in the nursing assessment module, the assessment process of the urgency of nursing tasks includes:

[0070] Extract the nursing task scheduling characteristics of the patient's current nursing task, analyze the patient's vital signs changes, the frequency of nursing operations, and the urgency of nursing needs, wherein the extracted patient's current vital signs data are compared with normal values, and the percentage of deviation from normal values ​​is calculated for quantification, and the abnormal degree of vital signs is analyzed. The frequency of nursing operations is based on the change rate of the number of nursing operations received within equal time intervals, reflecting the intensity of the patient's nursing needs. According to the doctor's orders and the patient's complaints, the urgency of nursing needs is evaluated. For the characteristics of vital signs changes, nursing operation frequency, and nursing needs urgency, preset standard scores, and calculate the score of each feature according to the characteristic data of the patient's current nursing task. According to the doctor's orders and the patient's complaints, the urgency of nursing needs is evaluated using Li The kert scale is used to score the urgency of nursing needs, which is then standardized to a value between 0 and 1. The extracted nursing task scheduling features are input into the task scheduling evaluation model, the abnormal degree of the patient's vital signs and the urgency factors of the doctor's orders are quantified, and the urgency evaluation value of each nursing task is calculated. According to the urgency evaluation value of the nursing task and the evaluation results of the urgency of the nursing task, different priority levels are set, namely the first priority level, the medium priority level and the second priority level, and the corresponding evaluation threshold is set for each priority level based on the threshold range of the urgency evaluation value. Based on the patient's current nursing task feature data, the priority of the nursing task is determined, and a nursing task priority list is generated to clarify the execution order of the nursing tasks, optimize the nursing process, and ensure the reasonable allocation of resources;

[0071] Furthermore, the calculation formula of the urgency evaluation value is:

[0072] ;

[0073] ;

[0074] in, is the urgency evaluation value, Score of the patient's current vital signs. To score normal values ​​of vital signs according to clinical criteria, is the score of nursing operation frequency, is the current number of nursing operations, and is the minimum and maximum value of the normal range of nursing operation times, Score the normal value of nursing operation frequency according to the nursing standards, Rate the urgency of care needs, Score the normal value of the urgency of nursing needs based on clinical criteria, , and is the weight coefficient, which is used to adjust the influence of each feature on the urgency evaluation value. It should be noted that The value range is from 0 to 1, where 0 represents the lowest urgency and 1 represents the highest urgency. When the patient's vital signs deviate significantly from normal values, The value of will increase, resulting in The value increases, indicating an increase in urgency. Increased and exceeded the normal score for nursing operation frequency ,but The value will also increase, reflecting that the patient's care needs are more urgent, and the urgency of care needs score The higher, The closer the value is to 1, the higher the priority of the nursing task;

[0075] Furthermore, the plurality of priority levels correspond to a plurality of evaluation thresholds, wherein the evaluation thresholds include an upper threshold and a lower threshold;

[0076] Multiple priority levels and multiple evaluation thresholds satisfy the following relationship:

[0077] First-class level ;

[0078] Medium-excellent grade ;

[0079] Suboptimal Grade ;

[0080] in, is the urgency evaluation value, is the lower threshold corresponding to the medium-excellent level and the upper threshold corresponding to the first-excellent level, is the lower threshold corresponding to the medium-optimal level and the upper threshold corresponding to the suboptimal level, , ;

[0081] In the task scheduling module, the process of prioritizing nursing tasks includes:

[0082] The urgency and priority evaluation results of each nursing task are collected from the nursing assessment module, and the collected evaluation results are integrated into the task scheduling module to form a list of tasks to be scheduled. According to the urgency evaluation value of the nursing task and the preset priority level, all tasks to be scheduled are sorted to determine the execution order of the tasks to ensure that urgent and important tasks are executed first. According to the priority of the task and the available nursing resources (such as nursing staff, equipment, time, etc.), resource utilization is optimized to ensure that the tasks can be completed on time. According to the priority sorting and resource allocation, a scheduling strategy is formulated. The scheduling strategy is based on the urgency of the task, resource constraints, and the skill level of the nursing staff. According to the scheduling strategy, a specific nursing task scheduling plan is generated to clarify the execution order, execution time, and key information of the executor of each task to ensure that the nursing staff can clearly understand the execution order and time of the tasks so as to prepare and arrange them. Medical staff perform nursing tasks according to the task scheduling plan to ensure that patients receive timely care, and monitor the execution of tasks in real time. The scheduling plan is dynamically adjusted according to the actual situation to respond to emergencies and changes and maintain the timeliness and effectiveness of the scheduling plan;

[0083] In the report generation module, the generation process of the nursing work report includes:

[0084] Obtain the urgency and priority data of nursing tasks from the nursing assessment module, obtain patient satisfaction indicators and nursing quality-related data from the clinical information system, ensure the reliability of the data source and the integrity of the data, clean the collected data, remove duplicate, invalid or erroneous data, integrate the data to ensure the accuracy and consistency of the data, build a report architecture that includes the urgency, priority, patient satisfaction indicators, and key data fields of nursing quality statistics, and configure the report generation parameters of the report cycle, report format, and data screening conditions. Automatically generate nursing work reports based on the constructed report architecture and configured parameters, and use charts and graphics to visualize key data indicators and trends to ensure that data visualization is intuitive and easy to understand, which helps to quickly identify problems and trends. After reviewing the nursing work report, it will be released to relevant nursing staff by email or internal system notification;

[0085] User interaction module, specifically including:

[0086] The user interaction module is used to display the task scheduling results in real time to ensure that nursing staff and managers can keep abreast of the latest developments of the tasks. The scheduling results include key information such as the urgency of the task, priority, executor, and execution time. The urgency of the task is identified by color coding, with red indicating the first priority, yellow indicating the medium priority, and green indicating the second priority, to help users quickly identify which tasks need to be prioritized. The user interaction module tracks the execution status of the task in real time, including task progress, completion, and whether problems are encountered. The execution status information is identified by icons and colors for users to quickly identify. The execution process of the task is recorded in detail, including execution time, executor, and operation content. The recorded information is available for users to review at any time, which helps to trace the cause of the problem and summarize lessons learned.

[0087] 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. An intelligent nursing data task scheduling management system based on cloud computing, including a cloud computing platform, characterized in that: The cloud computing platform is communicatively connected with a data acquisition module, a data storage module, a data processing and analysis module, a nursing assessment module, a task scheduling module, a report generation module and a user interaction module, wherein the modules are electrically connected with each other; The data acquisition module is used to collect the original data of the patient's vital signs, nursing records, and medical advice information from the intelligent nursing equipment and clinical information system; The data storage module is used to store the collected nursing data and patient information in the cloud; The data processing and analysis module is used to integrate and analyze the collected data, extract feature information related to task scheduling, and obtain a feature set; The nursing assessment module assesses the patient's current nursing tasks and effects, assesses the urgency of nursing tasks, and determines the priority of nursing tasks; The task scheduling module prioritizes nursing tasks according to the urgency and priority evaluation results of nursing tasks, thereby realizing intelligent scheduling of nursing tasks; The report generation module is used to automatically generate a nursing work report; The user interaction module provides an operation interface for nursing staff and managers, and displays task scheduling results and task execution status information.

2. According to the cloud computing-based intelligent nursing data task scheduling and management system according to claim 1, it is characterized by: The data acquisition module specifically includes: Configuring intelligent nursing equipment and clinical information systems to connect them with the data acquisition module, and collecting nursing data of patients from the intelligent nursing equipment and clinical information systems; Identify the collected data, including the patient's identity information, vital signs, nursing records, and doctor's order information data; Establish real-time data flow so that intelligent nursing equipment and clinical information system transmit data to data acquisition module in real time, and perform preliminary processing on the collected raw data, including denoising, formatting and standardization steps; Perform quality checks on the preprocessed data, including data integrity, accuracy, and timeliness, and upload the processed data to the data storage module.

3. The intelligent nursing data task scheduling and management system based on cloud computing according to claim 2 is characterized in that: The data storage module specifically includes: Upload the pre-processed nursing data and patient information data to the cloud through a secure channel, and use strong encryption algorithms and key management strategies to encrypt the data stored in the cloud; Back up data stored in the cloud and establish a data recovery mechanism, including data recovery plans, recovery processes, and recovery tools; Use hash index technology to map data into hash tables through hash functions, create indexes for data stored in the cloud, and classify and archive data according to data type, dividing nursing data into vital signs data and treatment records, and dividing patient information into basic information and medical history records.

4. The intelligent nursing data task scheduling and management system based on cloud computing according to claim 3 is characterized by: In the data processing and analysis module, the process of acquiring the feature set includes: Through data mapping, conversion and merging operations, data collected from multiple data sources such as smart nursing devices, electronic medical record systems, and doctor's order systems are integrated into a unified data warehouse, and data cleaning is performed to identify and process missing values, outliers, and duplicate records in the data; Extract features related to nursing task scheduling from the integrated data, including changes in patients' vital signs, frequency of nursing operations, and urgency of nursing needs. Organize and analyze the feature data to obtain a structured feature set. The constructed feature set is combined with the decision tree classification algorithm to establish a task scheduling evaluation model, and the performance of the task scheduling evaluation model is evaluated and optimized. Then, the trained task scheduling evaluation model is used to score nursing tasks according to the changes in patients' vital signs, the frequency of nursing operations, and the urgency of nursing needs.

5. The intelligent nursing data task scheduling and management system based on cloud computing according to claim 4 is characterized in that: In the nursing assessment module, the assessment process of the urgency of nursing tasks includes: Extract the nursing task scheduling characteristics of the patient's current nursing task, analyze the patient's vital signs changes, the frequency of nursing operations, and the urgency of nursing needs, wherein the extracted patient's current vital signs data are compared with normal values, the percentage of deviation from normal values ​​is calculated for quantification, and the abnormal degree of vital signs is analyzed. The frequency of nursing operations is based on the rate of change of the number of nursing operations received within equal time intervals, reflecting the intensity of the patient's nursing needs. According to the doctor's orders and the patient's complaints, the urgency of nursing needs is evaluated; For the characteristics of vital sign changes, nursing operation frequency, and nursing need urgency, standard scores are preset, and the score of each feature is calculated based on the characteristic data of the patient's current nursing task. The urgency of nursing needs is assessed based on the doctor's orders and the patient's complaints, and the urgency of nursing needs is scored using the Likert scale, which is then standardized to a value between 0 and 1; The extracted nursing task scheduling features are input into the task scheduling evaluation model to quantify the abnormal degree of the patient's vital signs and the urgency factors of the doctor's orders, and calculate the urgency evaluation value of each nursing task; According to the urgency evaluation value of the nursing task and the evaluation result of the urgency of the nursing task, different priority levels are set, namely, the first priority level, the medium priority level and the second priority level, and the corresponding evaluation threshold is set for each priority level based on the threshold range of the urgency evaluation value; Based on the patient's current nursing task characteristic data, determine the priority of nursing tasks, generate a nursing task priority list, and clarify the execution order of nursing tasks.

6. The intelligent nursing data task scheduling and management system based on cloud computing according to claim 5 is characterized by: The calculation formula of the urgency evaluation value is: ； ； in, is the urgency evaluation value, Score of the patient's current vital signs. To score normal values ​​of vital signs according to clinical criteria, is the score of nursing operation frequency, is the current number of nursing operations, and is the minimum and maximum value of the normal range of nursing operation times, Score the normal value of nursing operation frequency according to the nursing standards, Rate the urgency of care needs, Score the normal value of urgency of nursing needs based on clinical criteria, , and is the weight coefficient, which is used to adjust the influence of each feature on the urgency evaluation value. It should be noted that The value range is from 0 to 1, where 0 represents the lowest urgency and 1 represents the highest urgency.

7. The intelligent nursing data task scheduling and management system based on cloud computing according to claim 6 is characterized by: A plurality of the priority levels correspond to a plurality of the evaluation thresholds, wherein the evaluation thresholds include an upper threshold and a lower threshold; The plurality of priority levels and the plurality of evaluation thresholds satisfy the following relationship: First-class level ; Medium-excellent grade ; Suboptimal Grade ; in, is the urgency evaluation value, is the lower threshold corresponding to the medium-excellent level and the upper threshold corresponding to the first-excellent level, is the lower threshold corresponding to the medium-optimal level and the upper threshold corresponding to the suboptimal level, , .

8. The intelligent nursing data task scheduling and management system based on cloud computing according to claim 7 is characterized by: In the task scheduling module, the process of prioritizing nursing tasks includes: Collect the urgency and priority evaluation results of each nursing task from the nursing evaluation module, and integrate the collected evaluation results into the task scheduling module to form a list of tasks to be scheduled; According to the urgency evaluation value of the nursing task and the preset priority level, all tasks to be scheduled are sorted, the execution order of the tasks is determined, and the tasks are allocated according to the priority of the tasks and the available nursing resources to optimize resource utilization; Develop scheduling strategies based on priority sorting and resource allocation. Scheduling strategies are developed based on the urgency of the task, resource constraints, and the skill level of the nursing staff. Generate specific nursing task scheduling plans based on the scheduling strategies, and clarify the execution order, execution time, and key information of the executors of each task. Medical staff perform nursing tasks according to the task scheduling plan, monitor the execution of tasks in real time, and dynamically adjust the scheduling plan according to actual conditions.

9. The intelligent nursing data task scheduling and management system based on cloud computing according to claim 8 is characterized in that: In the report generation module, the generation process of the nursing work report includes: Obtain the urgency and priority data of nursing tasks from the nursing assessment module, obtain patient satisfaction indicators and nursing quality-related data from the clinical information system, and clean the collected data; Build a report structure that includes key data fields such as nursing task urgency, priority, patient satisfaction indicators, and nursing quality statistics, and configure report generation parameters such as report cycle, report format, and data screening conditions; Based on the constructed report architecture and configured parameters, nursing work reports are automatically generated, and key data indicators and trends are displayed in a visual way using charts and graphs. After the nursing work reports are reviewed, they are released to relevant nursing staff via email or internal system notifications.

10. The intelligent nursing data task scheduling and management system based on cloud computing according to claim 9, characterized in that: The user interaction module specifically includes: The user interaction module is used to display the task scheduling results in real time. The scheduling results include the urgency, priority, executor, and execution time of the task. The urgency of the task is indicated by color coding, with red indicating the first priority, yellow indicating the middle priority, and green indicating the second priority. The user interaction module tracks the execution status of tasks in real time, including task progress, completion, and whether problems are encountered; The execution process of the task is recorded in detail, including execution time, executor, and operation content. The recorded information is available for users to review at any time.

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