Nursing information distribution management system based on big data

Abstract

The invention discloses a nursing information distribution management system based on big data, and relates to the technical field of information distribution management, and the system comprises a data collection module which is used for collecting original data from a nursing data source in real time and cleaning the original data, the original data comprises patient information, nursing records, resource use conditions and nursing personnel capabilities; the data acquisition module is connected with an external system through an API (Application Program Interface); the nursing information distribution management system based on big data can comprehensively evaluate the skill level and professional ability of nursing personnel, update skill archives, and provide an accurate basis for personnel deployment; appropriate nursing personnel are allocated to appropriate tasks, so that the quality and the specialty of nursing services are improved; optimal allocation of resources and nursing personnel is realized; resource preparation is made in advance, resource waste and shortage are avoided, and the resource utilization rate is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of information distribution management, and in particular to a nursing information distribution management system based on big data. Background Art

[0002] With the continuous development of medical technology and the growing demand for health, the importance of nursing work in the medical system has become increasingly prominent; however, there are many problems with the traditional nursing information management method, which is difficult to meet the needs of modern medical care; under the traditional nursing model, the collection of nursing information mainly relies on manual records and paper documents, and the accuracy and timeliness of the data are difficult to guarantee; the skill assessment of nursing staff often lacks systematicity and objectivity, and it is difficult to fully and accurately reflect the actual ability level of nursing staff; at the same time, the allocation of nursing tasks mainly relies on experience and lacks scientific basis, which easily leads to unreasonable task allocation and affects the efficiency and quality of nursing work; It is often difficult to accurately predict and personalize patients' nursing needs; resources cannot be prepared and personnel arranged in advance, which easily leads to resource shortages or waste; in addition, there is a lack of effective monitoring and feedback mechanisms for the progress of nursing tasks, making it difficult for management to understand the actual situation of nursing work in real time, which is not conducive to timely adjustment of decisions and improvement of nursing services. Summary of the invention

[0003] In order to solve the above technical problems, the present invention is implemented through the following technical solutions: a nursing information distribution and management system based on big data, including a data acquisition module, which is used to collect raw data from a nursing data source in real time and clean the raw data, wherein the raw data includes patient information, nursing records, resource usage and nursing staff capabilities; the data acquisition module is connected to an external system through an API interface to ensure the real-time and integrity of the data; A data processing module, connected to the data acquisition module, is used to generate analysis results based on the original data, generate analysis reports based on the analysis results, and transmit the analysis reports to the management level; The intelligent matching module is connected to the data processing module and is used to evaluate the skill level and professional ability of nursing staff to update the nursing staff's skill profile. It is also used to predict future changes in nursing needs based on analysis reports and use the prediction results to optimize the allocation of resources and nursing staff. A task allocation module, connected to the intelligent matching module, is used to adjust the allocation priority of the work task according to the urgency of the work task notification and the workload of the nursing staff, monitor the execution progress of the task based on the allocation priority of the work task, generate a task execution status report, and provide the task execution status report to the management; The feedback evaluation module, connected with the task assignment module, is used to evaluate the execution results of the nursing tasks and generate quality scores for the evaluation criteria according to the nursing industry standards.

[0004] Preferably, the data processing module includes: A data analysis unit is used to analyze the cleaned raw data and generate analysis results, including identifying potential changes in nursing needs and resource usage patterns; it is also used to generate analysis reports based on the analysis results and transmit the analysis reports to the management to provide reference for nursing management decisions; The data storage unit is used to extract and store historical data, patient information and analysis results in the analysis report.

[0005] Preferably, the intelligent matching module includes: Skill assessment unit, which is used to assess the skill level and professional ability of nursing staff, generate assessment results, and update the nursing staff's skill profile based on the assessment results to ensure the accuracy of task allocation; The demand forecasting unit is used to extract historical data and patient information from the analysis report, predict future changes in nursing needs, obtain forecast results, and use the forecast results to optimize the allocation of resources and nursing staff; A resource matching unit is used to match based on patient needs, nursing staff skill assessment results and future nursing needs prediction results to obtain matching results; The decision support unit is used to provide decision suggestions to management based on the matching results and feedback from nursing staff and assessors, so as to optimize nursing processes and resource allocation.

[0006] Preferably, the skill assessment unit assesses the skill level and professional ability of the nursing staff, and the process of generating the assessment result is as follows: First, determine the specific indicators used to evaluate the skill level and professional ability of nursing staff; the specific indicators include professional knowledge assessment, clinical operation skills: injection, dressing change and cardiopulmonary resuscitation, communication skills: communication effect with patients and their families, emergency response ability: reaction and handling ability in the face of emergencies, teamwork ability: the degree of tacit cooperation with colleagues; By organizing theoretical examinations, the degree of professional knowledge mastery of nursing staff is obtained by answering questions on test papers; professional assessors observe nursing staff on-site to conduct various clinical operation skills assessments, and record the accuracy, proficiency and standardization of operations; by collecting feedback from patients and their families and observing the communication process between nursing staff and patients and their families, communication skills are assessed; simulated emergency scenarios are set up to observe the response measures and treatment effects of nursing staff, and the emergency treatment capabilities of corresponding nursing staff are assessed; by observing the performance of nursing staff in team cooperation projects and collecting evaluation methods of colleagues, team cooperation capabilities are assessed; the above five methods are used to collect data related to the evaluation indicators to obtain evaluation data; The collected evaluation data are quantified for comparison and analysis: for professional knowledge assessment, quantitative scoring is performed based on the accuracy of the answers; for clinical operation skills, quantitative scoring is performed based on the completion status and time of the key steps of the operation; for communication skills, emergency response skills and teamwork skills, a graded evaluation method is used to assign corresponding scores; the grades are divided into excellent, good, qualified and unqualified; that is, the quantified evaluation data is analyzed to calculate the scores of each nursing staff on each indicator and the overall score; Based on the analyzed scores, an evaluation report for each nurse is generated in the form of a report; the evaluation report includes the scores of each indicator, the overall score, strengths and weaknesses; at the same time, the nurses are classified and ranked according to the evaluation results in order to better understand the overall level distribution of nurses.

[0007] Preferably, the process for determining specific indicators for assessing nursing staff's skill level and professional competence is as follows: Clear nursing work objectives are used to provide safe nursing services to patients, including promoting patient recovery, preventing complications and improving patients' quality of life; Determine evaluation indicators based on nursing work, which includes clinical nursing, psychological nursing and health education; Among them, clinical nursing attention and assessment operational skills and professional knowledge, psychological nursing attention and assessment communication skills and empathy; health education attention and assessment knowledge reserves, teaching ability, interactive communication ability, assessment follow-up ability and resource integration and utilization ability; Consult the corresponding nursing industry standards, specifications and guidelines to understand the corresponding industry's requirements for nursing staff's skill levels and professional capabilities, and obtain standard skill levels and standard professional capabilities; Communicate with patients, their families, physicians, and administrators to understand their expectations and needs for nursing staff skills and professional competence; According to different aspects of nursing work, the evaluation indicators are divided into professional knowledge, clinical skills, communication skills, emergency response skills and teamwork skills; organize meetings among nursing experts, managers and front-line nursing staff to jointly propose meeting evaluation indicators; during the meeting, encourage everyone to give full play to their imagination and put forward various specific indicator suggestions, such as being able to accurately identify changes in patients' conditions and being proficient in the operation of various nursing equipment; Based on the conference evaluation indicators, the voting method is used to screen and remove duplicate, ambiguous and irrelevant indicators to obtain the retained indicators, ensuring that the retained indicators have clear meanings and operability; for each retained indicator, a description and explanation is given to clarify the meaning and evaluation criteria of the retained indicators; Based on the scoring system and the accuracy and timeliness of the nursing staff's execution of medical orders, the retention indicators of each indicator are quantified to obtain the quantitative values; based on the hierarchical analysis method and the obtained quantitative values, the importance of each retention indicator is divided and the corresponding weight is set for each indicator. Among them, for clinical nursing work, professional knowledge and clinical skills have higher weights, while for psychological nursing work, communication skills and empathy also have relatively higher weights; Select nursing staff for pilot evaluation, use evaluation indicators to evaluate their skill level and professional ability, and obtain evaluation results; and during the pilot evaluation process, collect feedback from nursing staff and evaluators to understand the feasibility and effectiveness of the indicators; analyze the pilot evaluation results, obtain analysis results, and check whether the indicators can accurately reflect the skill level and professional ability of nursing staff; Analyze the distribution, reliability and validity of the evaluation results to ensure the reliability and accuracy of the evaluation; adjust and optimize the evaluation indicators based on the feedback and analysis results of the pilot evaluation; the optimization includes: adjusting the description, quantification method and weight of the indicators to improve the scientificity and practicality of the indicators; after adjustment and optimization, finally determine the specific indicators for evaluating the skill level and professional ability of nursing staff; and continuously improve and perfect them in practical application; through the above process, a set of scientific, comprehensive and operational evaluation indicators can be determined to provide strong support for the skill evaluation and professional development of nursing staff.

[0008] Preferably, the process of updating the nursing staff skill profile based on the evaluation results is as follows: First, access the nursing staff's skill profile database, find the corresponding nursing staff's skill profile, enter the generated evaluation results into the nursing staff's skill profile, and analyze the specific impact on the nursing staff's skill profile based on the evaluation results to obtain the analysis results; if the nursing staff performs well on the evaluation indicators, it will be highlighted in the skill profile, and the corresponding experience and achievements will be recorded; if the nursing staff has deficiencies in the evaluation indicators, it will be highlighted in the skill profile, and corresponding improvement plans and goals will be formulated; Based on the analysis results, the skill files of the nursing staff are updated; the update content includes the adjustment of the skill level: if the evaluation results show that the skill level of the nursing staff has significantly improved or declined, the skill level and the expansion or contraction of the professional ability field can be adjusted accordingly: if the nursing staff excels in a specific field, the description of the professional ability in that field can be added to the skill file; if there are deficiencies in a certain field, the relevant description and training needs records can be appropriately reduced: according to the evaluation results, determine what aspects of training the nursing staff needs to receive, and record these training needs in the skill file; after the skill file is updated, save the updated file content to ensure the security and integrity of the file for subsequent query and use; and set up a regular backup mechanism to prevent the loss of file data; Through the above process, the evaluation results of nursing staff can be generated in a timely and accurate manner, and the nursing staff's skill files can be updated based on the evaluation results, providing strong support for the management and development of nursing staff.

[0009] Preferably, the resource matching unit performs matching based on patient needs, nursing staff skill assessment results and future nursing needs prediction results as follows: Collect patient demand information from the patient's medical records and nursing records as well as from communication with the patient and his / her family; demand information includes physiological needs: disease treatment, rehabilitation care, pain management, psychological needs: such as emotional support, psychological counseling, and life needs: dietary guidance, and assistance with daily living. For a fracture patient, physiological needs include regular wound dressing changes and rehabilitation training guidance; psychological needs are concerns about the prognosis of the disease and the need for psychological comfort; and life needs are the need for assistance with daily activities. Obtain nursing staff’s skill level and professional competency assessment results from the Skills Assessment Unit; Obtain the prediction results of the patient's future nursing needs from the demand prediction unit, that is, the analysis of the patient's disease development trend, treatment plan and rehabilitation process. For a patient who has undergone surgery, it can be predicted that pain management and rehabilitation training guidance will be strengthened in the next few days based on the type of surgery and the patient's recovery status; The collected patient needs are classified into urgency, importance and impact on the patient's health, and the three categories of patient needs are set to corresponding high priority needs, medium priority needs and low priority needs. Among them, for a critically ill patient, vital sign monitoring and emergency medical treatment in physiological needs are high priority needs; and for a patient in recovery, encouragement and support in psychological needs are medium priority needs; According to the skill assessment results of the nursing staff, the strengths and weaknesses of each nursing staff are analyzed, the corresponding professional skill areas of each nursing staff are determined, and the corresponding categories of patient needs are matched to generate the corresponding nursing staff's skill advantages. Among them, nursing staff with rich rehabilitation nursing experience and skills are assigned to patients who need rehabilitation training guidance; nursing staff who are good at communication and psychological counseling are assigned to patients with higher psychological needs; Based on the patient's current demand level and the nursing staff's skill advantages, a preliminary match is made to obtain a preliminary matching plan; that is, nursing staff with higher skill levels in specific areas are matched with patients with corresponding needs; then the preliminary matching plan is adjusted based on the nursing staff's workload, scheduling, and the patient's special requirements to obtain a matching result and generate a work task notification; among them, if a nursing staff has already undertaken more work tasks, or the patient has a preference for a specific nursing staff, appropriate adjustments can be made to ensure the rationality and feasibility of the matching result; and the matching results are recorded in the management system for subsequent inquiries and tracking; at the same time, the matching results are fed back to nursing staff, patients and their families to ensure that all parties understand the care arrangements; work task notifications are sent to nursing staff, and the management introduces the situation and contact information of the nursing staff responsible for their care to patients and their families based on the work task notifications.

[0010] Preferably, the task allocation module includes: A task management unit, used to adjust the priority of work task allocation according to the urgency of the work task notification and the workload of the nursing staff, so as to achieve more efficient task management; The task tracking unit is used to monitor the execution progress of tasks based on the assigned priorities of work tasks, record the completion of work tasks, generate task execution status reports, and provide task execution status reports to management.

[0011] Preferably, the task management unit adjusts the priority of work task allocation according to the urgency of the work task notification and the workload of the nursing staff: High urgency: life-threatening situations, such as the results of laboratory sample analysis required in an ongoing emergency mission; such mission notifications are marked as high urgency level: Level 1; Medium urgency: for emergency patients, such as sample testing of suspected infected patients; marked as medium urgency level: Level 2; Low urgency: for physical examination sample testing, i.e. non-urgent research sample analysis, marked as low urgency level: Level 3; When receiving a work task notification, the task management unit first determines the urgency level of the task according to the nature and source of the task and the description of the patient's condition, wherein the urgency level includes high urgency tasks, medium urgency tasks and low urgency tasks; By connecting with the smart bracelets worn by nursing staff, the working status of nursing staff can be monitored in real time, including the number of tasks being performed, task execution time, and rest status. At the same time, the scheduling information of nursing staff can be obtained from the hospital's work management system to understand their working hours and the amount of tasks completed for the day. According to the monitored working status, a workload index is calculated for each nursing staff, and the workload index is calculated according to the following formula: workload index = number of tasks being executed × weight 1 + average task execution time × weight 2 + continuous working time × weight 3; wherein, weight 1 indicates the importance of the number of tasks being executed in the overall workload assessment; weight 2 indicates the contribution of the average task execution time to the workload; weight 3 indicates the effect of the continuous working time on the workload; and weight 1, weight 2 and weight 3 can be adjusted according to actual conditions; wherein, for the number of tasks being executed: the more tasks there are, the higher the load index; for the average task execution time: the longer the execution time, the more time-consuming the task is, and the load index increases accordingly; for the continuous working time: the longer the continuous working time, the more tired the nursing staff is, and the load index will also increase; and the obtained workload index is divided into three levels: high, medium and low; For newly received work tasks, the initial priority is determined according to their urgency level; among them, the initial priority of high-urgency tasks is high, the initial priority of medium-urgency tasks is medium, and the initial priority of low-urgency tasks is low; View the list of nurses who can currently be assigned tasks and their workload index; for high-urgency tasks, assign them to nurses with low workload indexes; for medium-urgency tasks, when nurses with low workload indexes are performing high-urgency tasks, assign them to nurses with medium workload indexes; for low-urgency tasks, assign them when the nurses' workload is low.

[0012] Preferably, the feedback evaluation module includes: A quality control unit that collects feedback from nursing staff on task performance and patient care outcomes for evaluation, and generates quality scores for evaluation criteria based on nursing industry standards; The improvement generation unit is used to generate improvement suggestions based on the quality scores and historical data in the management system, and transmit the improvement suggestions to the management system and management to help nursing management optimize the nursing process and improve service quality.

[0013] The present invention provides a nursing information distribution management system based on big data, which has the following beneficial effects: 1. The nursing information allocation and management system based on big data can comprehensively evaluate the skill level and professional ability of nursing staff through the skill assessment unit in the intelligent matching module, update the skill file, and provide an accurate basis for personnel deployment; this helps to assign appropriate nursing staff to appropriate tasks and improve the quality and professionalism of nursing services; and the demand forecasting unit can predict future changes in nursing needs based on historical data and patient information, and achieve optimal deployment of resources and nursing staff; make resource preparations in advance to avoid resource waste and shortages and improve resource utilization.

[0014] 2. The nursing information allocation and management system based on big data can provide personalized nursing services for patients by matching them according to patient needs, nursing staff skill assessment results and future nursing demand forecast results through the resource matching unit; meet the special needs of different patients and improve patient satisfaction; adjust the allocation priority according to the urgency of the work task notification and the workload of the nursing staff through the task allocation module to ensure that urgent tasks are given priority, and at the same time reasonably allocate tasks to avoid excessive fatigue of nursing staff; monitor the progress of task execution and generate status reports to facilitate management to understand the task execution status in a timely manner and make corresponding adjustments. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 This is a flowchart of a nursing information distribution and management system based on big data according to the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] like Figure 1 As shown, the present invention provides a technical solution: a nursing information distribution and management system based on big data, including a data acquisition module, which is used to collect raw data from a nursing data source in real time and clean the raw data, wherein the raw data includes patient information, nursing records, resource usage and nursing staff capabilities; the data acquisition module is connected to an external system through an API interface to ensure the real-time and integrity of the data; The data processing module is connected to the data acquisition module and is used to generate analysis results based on the original data, generate analysis reports based on the analysis results, and transmit the analysis reports to the management level; it provides a basis for decision-making for the management level, helps to optimize the allocation of nursing resources and improve the quality of nursing; The intelligent matching module is connected to the data processing module and is used to evaluate the skill level and professional ability of nursing staff to update the nursing staff's skill profile. It is also used to predict future changes in nursing needs based on analysis reports and use the prediction results to optimize the allocation of resources and nursing staff. A task allocation module, connected to the intelligent matching module, is used to adjust the allocation priority of the work task according to the urgency of the work task notification and the workload of the nursing staff, monitor the execution progress of the task based on the allocation priority of the work task, generate a task execution status report, and provide the task execution status report to the management; The feedback evaluation module, connected with the task assignment module, is used to evaluate the execution results of the nursing tasks and generate quality scores for the evaluation criteria according to the nursing industry standards.

[0018] The data processing module includes: a data analysis unit, which is used to analyze the cleaned raw data and generate analysis results. The analysis results include identifying potential changes in nursing needs and resource usage patterns, which helps to prepare resources and arrange personnel in advance; it is also used to generate analysis reports based on the analysis results, and transmit the analysis reports to the management to provide reference for nursing management decisions; a data storage unit is used to extract and store historical data, patient information and analysis results in the analysis report, which is convenient for anytime access and data analysis comparison, and provides data support for long-term nursing decisions.

[0019] Smart matching modules include: Skill assessment unit, used to assess the skill level and professional ability of nursing staff, generate assessment results, and update the nursing staff's skill files based on the assessment results to ensure the accuracy of task allocation, provide a basis for personnel deployment and training, and improve the overall quality of nursing staff; The demand forecasting unit is used to extract historical data and patient information from the analysis report, predict future changes in nursing needs, obtain forecast results, and use the forecast results to optimize the allocation of resources and nursing staff, making resource allocation more scientific and reasonable and improving resource utilization; Resource matching unit, which is used to match patients’ needs, nursing staff’s skill assessment results and future nursing demand forecast results to obtain matching results and improve the personalization and accuracy of nursing services; The decision support unit is used to provide decision-making suggestions to management based on the matching results and feedback from nursing staff and evaluators, so as to optimize the nursing process and resource allocation and make decisions more scientific and reasonable.

[0020] The Skill Assessment Unit assesses the skill level and professional competence of nursing staff. The process of generating the assessment results is as follows: First, determine the specific indicators used to evaluate the skill level and professional ability of nursing staff; the specific indicators include professional knowledge assessment, clinical operation skills: injection, dressing change and cardiopulmonary resuscitation, communication skills: communication effect with patients and their families, emergency response ability: reaction and handling ability in the face of emergencies, teamwork ability: the degree of tacit cooperation with colleagues; By organizing theoretical examinations, the degree of professional knowledge mastery of nursing staff is obtained by answering questions on test papers; professional assessors observe nursing staff on-site to conduct various clinical operation skills assessments, and record the accuracy, proficiency and standardization of operations; by collecting feedback from patients and their families and observing the communication process between nursing staff and patients and their families, communication skills are assessed; simulated emergency scenarios are set up to observe the response measures and treatment effects of nursing staff, and the emergency treatment capabilities of corresponding nursing staff are assessed; by observing the performance of nursing staff in team cooperation projects and collecting evaluation methods of colleagues, team cooperation capabilities are assessed; the above five methods are used to collect data related to the evaluation indicators to obtain evaluation data; The collected evaluation data are quantified for comparison and analysis: for professional knowledge assessment, quantitative scoring is performed based on the accuracy of the answers; for clinical operation skills, quantitative scoring is performed based on the completion status and time of the key steps of the operation; for communication skills, emergency response skills and teamwork skills, a graded evaluation method is used to assign corresponding scores; the grades are divided into excellent, good, qualified and unqualified; that is, the quantified evaluation data is analyzed to calculate the scores of each nursing staff on each indicator and the overall score; Based on the analyzed scores, an evaluation report for each nurse is generated in the form of a report; the evaluation report includes the scores of each indicator, the overall score, strengths and weaknesses; at the same time, the nurses are classified and ranked according to the evaluation results in order to better understand the overall level distribution of nurses.

[0021] It should be further explained that, during the specific implementation process, specific evaluation indicators for the skill level and professional ability of nursing staff were clarified, including professional knowledge assessment, clinical operation skills, communication skills, emergency response capabilities, teamwork capabilities, etc., to make the evaluation more comprehensive and objective; evaluation data was collected through various means, such as theoretical examinations, on-site observations, and feedback collection, to ensure the accuracy and reliability of the data; evaluation data was quantified and an evaluation report was generated, so that nursing staff could clearly understand their strengths and weaknesses, providing direction for personal development.

[0022] The process for determining specific indicators for assessing nursing staff skill levels and professional competence is as follows: Clear nursing work objectives are used to provide safe nursing services to patients, including promoting patient recovery, preventing complications and improving patients' quality of life; Determine evaluation indicators based on nursing work, which includes clinical nursing, psychological nursing and health education; Among them, clinical nursing attention and assessment operational skills and professional knowledge, psychological nursing attention and assessment communication skills and empathy; health education attention and assessment knowledge reserves, teaching ability, interactive communication ability, assessment follow-up ability and resource integration and utilization ability; Consult the corresponding nursing industry standards, specifications and guidelines to understand the corresponding industry's requirements for nursing staff's skill levels and professional capabilities, and obtain standard skill levels and standard professional capabilities; Communicate with patients, their families, doctors, and administrators to understand their expectations and needs for nursing staff’s skills and professionalism; for example, patients may be more concerned about nursing staff’s caring and communication skills, while doctors may focus more on nursing staff’s professional knowledge and collaboration skills; According to different aspects of nursing work, the evaluation indicators are divided into professional knowledge, clinical skills, communication skills, emergency response skills and teamwork skills; organize meetings among nursing experts, managers and front-line nursing staff to jointly propose meeting evaluation indicators; during the meeting, encourage everyone to give full play to their imagination and put forward various specific indicator suggestions, such as being able to accurately identify changes in patients' conditions and being proficient in the operation of various nursing equipment; Based on the conference evaluation indicators, the voting method is used to screen and remove duplicate, ambiguous and irrelevant indicators to obtain the retained indicators, ensuring that the retained indicators have clear meanings and operability; for each retained indicator, a description and explanation are given to clarify the meaning and evaluation criteria of the retained indicators; for example, for the indicator of being proficient in the operation of various nursing equipment, it can be further described as being able to correctly operate common nursing equipment such as ECG monitors and infusion pumps, with accurate operating steps and being able to handle equipment failures in a timely manner; Based on the scoring system and the accuracy and timeliness of the nursing staff's execution of medical orders, the retention indicators of each indicator are quantified to obtain the quantitative values; based on the hierarchical analysis method and the obtained quantitative values, the importance of each retention indicator is divided and the corresponding weight is set for each indicator. Among them, for clinical nursing work, professional knowledge and clinical skills have higher weights, while for psychological nursing work, communication skills and empathy also have relatively higher weights; Select nursing staff for pilot evaluation, use evaluation indicators to evaluate their skill level and professional ability, and obtain evaluation results; and during the pilot evaluation process, collect feedback from nursing staff and evaluators to understand the feasibility and effectiveness of the indicators; analyze the pilot evaluation results, obtain analysis results, and check whether the indicators can accurately reflect the skill level and professional ability of nursing staff; Analyze the distribution, reliability and validity of the evaluation results to ensure the reliability and accuracy of the evaluation; adjust and optimize the evaluation indicators based on the feedback and analysis results of the pilot evaluation; the optimization includes: adjusting the description, quantification method and weight of the indicators to improve the scientificity and practicality of the indicators; after adjustment and optimization, finally determine the specific indicators for evaluating the skill level and professional ability of nursing staff; and continuously improve and perfect them in practical application; through the above process, a set of scientific, comprehensive and operational evaluation indicators can be determined to provide strong support for the skill evaluation and professional development of nursing staff.

[0023] It needs to be further explained that, in the specific implementation process, the evaluation indicators are determined based on the nursing work objectives, so that the evaluation indicators are closely integrated with the actual needs of nursing work, thereby improving the pertinence and effectiveness of the evaluation; comprehensive consideration is given to aspects such as clinical nursing, psychological care and health education, and the skill level and professional ability of nursing staff are comprehensively evaluated; the evaluation indicators are determined by consulting standards, communicating with all parties, and discussing in meetings to ensure the scientificity and rationality of the indicators; the voting method is used to screen indicators, quantify indicators and set weights to make the evaluation more accurate and objective; the indicators are adjusted and optimized through pilot evaluations and feedback, and the evaluation system is continuously improved.

[0024] The process for updating the nursing staff's skills profile based on the assessment results is as follows: First, access the nursing staff's skill profile database, find the corresponding nursing staff's skill profile, enter the generated evaluation results into the nursing staff's skill profile, and analyze the specific impact on the nursing staff's skill profile based on the evaluation results to obtain the analysis results; if the nursing staff performs well on the evaluation indicators, it will be highlighted in the skill profile, and the corresponding experience and achievements will be recorded; if the nursing staff has deficiencies in the evaluation indicators, it will be highlighted in the skill profile, and corresponding improvement plans and goals will be formulated; Based on the analysis results, the skill files of the nursing staff are updated; the update content includes the adjustment of the skill level: if the evaluation results show that the skill level of the nursing staff has significantly improved or declined, the skill level and the expansion or contraction of the professional ability field can be adjusted accordingly: if the nursing staff excels in a specific field, the description of the professional ability in that field can be added to the skill file; if there are deficiencies in a certain field, the relevant description and training needs records can be appropriately reduced: according to the evaluation results, determine what aspects of training the nursing staff needs to receive, and record these training needs in the skill file; after the skill file is updated, save the updated file content to ensure the security and integrity of the file for subsequent query and use; and set up a regular backup mechanism to prevent the loss of file data; Through the above process, the evaluation results of nursing staff can be generated in a timely and accurate manner, and the nursing staff's skill files can be updated based on the evaluation results, providing strong support for the management and development of nursing staff.

[0025] It needs to be further explained that, in the specific implementation process, the nursing staff's skill files are updated according to the evaluation results, so that the file content more accurately reflects the nursing staff's actual capabilities and development needs; highlighting the nursing staff's strengths and weaknesses, and formulating improvement plans and goals, will help the nursing staff's personal growth and career development; the updating of skill files provides a more accurate basis for personnel deployment and training, and improves the scientific nature of nursing management.

[0026] The resource matching unit matches patients based on their needs, nursing staff's skill assessment results, and future nursing needs forecast results as follows: Collect patient demand information from the patient's medical records and nursing records as well as from communication with the patient and his / her family; demand information includes physiological needs: disease treatment, rehabilitation care, pain management, psychological needs: such as emotional support, psychological counseling, and life needs: dietary guidance, and assistance with daily living. For a fracture patient, physiological needs include regular wound dressing changes and rehabilitation training guidance; psychological needs are concerns about the prognosis of the disease and the need for psychological comfort; and life needs are the need for assistance with daily activities. Obtain nursing staff’s skill level and professional competency assessment results from the Skills Assessment Unit; Obtain the prediction results of the patient's future nursing needs from the demand prediction unit, that is, the analysis of the patient's disease development trend, treatment plan and rehabilitation process. For a patient who has undergone surgery, it can be predicted that pain management and rehabilitation training guidance will be strengthened in the next few days based on the type of surgery and the patient's recovery status; The collected patient needs are classified into urgency, importance and impact on the patient's health, and the three categories of patient needs are set to corresponding high priority needs, medium priority needs and low priority needs. Among them, for a critically ill patient, vital sign monitoring and emergency medical treatment in physiological needs are high priority needs; and for a patient in recovery, encouragement and support in psychological needs are medium priority needs; According to the skill assessment results of the nursing staff, the strengths and weaknesses of each nursing staff are analyzed, the corresponding professional skill areas of each nursing staff are determined, and the corresponding categories of patient needs are matched to generate the corresponding nursing staff's skill advantages. Among them, nursing staff with rich rehabilitation nursing experience and skills are assigned to patients who need rehabilitation training guidance; nursing staff who are good at communication and psychological counseling are assigned to patients with higher psychological needs; According to the patient's current demand level and the nursing staff's skill advantages, a preliminary match is made to obtain a preliminary matching plan; that is, nursing staff with higher skill levels in specific areas are matched with patients with corresponding needs; among them, nursing staff who are good at wound care can be assigned to patients who need wound dressing changes; nursing staff who are good at psychological counseling can be assigned to patients with higher psychological needs; then the preliminary matching plan is adjusted based on the nursing staff's workload, scheduling, and special requirements of the patient to obtain a matching result and generate a work task notification; among them, if a nursing staff has already undertaken more work tasks, or the patient has a preference for a specific nursing staff, appropriate adjustments can be made to ensure the rationality and feasibility of the matching results; and the matching results are recorded in the management system for subsequent inquiries and tracking; at the same time, the matching results are fed back to nursing staff, patients and their families to ensure that all parties understand the care arrangements; work task notifications are sent to nursing staff, and the management introduces the situation and contact information of the nursing staff responsible for their care to patients and their families based on the work task notifications.

[0027] It should be further explained that, in the specific implementation process, patient demand information is collected, classified and demand levels are set to make nursing services more in line with the actual needs of patients; matching is carried out based on the nursing staff's skill assessment results and future nursing demand forecast results to improve the personalization and foresight of nursing services; matching plans are adjusted according to the nursing staff's workload, scheduling and the patient's special requirements to ensure the rationality and feasibility of task allocation; matching results are fed back to nursing staff, patients and their families to improve the transparency and satisfaction of nursing services.

[0028] The task allocation module includes: The task management unit is used to adjust the priority of work task allocation according to the urgency of the work task notification and the workload of the nursing staff, to ensure that urgent tasks are given priority and to improve the efficiency and quality of nursing work; The task tracking unit is used to monitor the progress of task execution based on the assigned priority of the work task, record the completion status of the work task, generate a task execution status report, and provide the task execution status report to the management, providing the management with real-time task execution status to facilitate timely adjustment and decision-making.

[0029] The task management unit adjusts the priority of work tasks according to the urgency of the work task notification and the workload of the nursing staff as follows: Define the urgency level: High urgency: life-threatening situations, such as the results of laboratory sample analysis required in an ongoing emergency mission; such mission notifications are marked as high urgency level: Level 1; Medium urgency: for emergency patients, such as sample testing of suspected infected patients; marked as medium urgency level: Level 2; Low urgency: for physical examination sample testing, i.e. non-urgent research sample analysis, marked as low urgency level: Level 3; Receiving work task notification and determining urgency: When receiving a work task notification, the task management unit first determines the urgency level of the task based on the nature and source of the task and the description of the patient's condition, wherein the urgency level includes high urgency tasks, medium urgency tasks and low urgency tasks; Real-time monitoring of nursing staff status: By connecting with the smart bracelets worn by nursing staff, the working status of nursing staff can be monitored in real time, including the number of tasks being performed, task execution time, and rest status; at the same time, the scheduling information of nursing staff can be obtained from the hospital's work management system to understand their working hours and the amount of tasks completed for the day; Calculate the workload index: According to the monitored working status, a workload index is calculated for each nursing staff, and the workload index is calculated according to the following formula: Workload index = number of tasks being performed × weight 1 + average task execution time × weight 2 + continuous working time × weight 3; where weight 1 indicates the importance of the number of tasks being performed in the overall workload assessment; weight 2 indicates the contribution of the average task execution time to the workload; weight 3 indicates the effect of the continuous working time on the workload; and weights 1, 2 and 3 can be adjusted according to actual conditions; where, for the number of tasks being performed: the more tasks there are, the higher the load index; for the average task execution time: the longer the execution time, the more time-consuming the task is, and the load index increases accordingly; for the continuous working time: the longer the continuous working time, the more tired the nursing staff is, and the load index will also increase; and the obtained workload index is divided into three levels: high, medium and low; Adjust the work task allocation priority: Initial priority determination: For newly received work tasks, the initial priority is determined according to their urgency level; among them, the initial priority of high-urgency tasks is high, the initial priority of medium-urgency tasks is medium, and the initial priority of low-urgency tasks is low; Adjust priorities based on workload: Check the list of nurses who can currently be assigned tasks and their workload index; for high-urgency tasks, assign them to nurses with low workload indexes; for medium-urgency tasks, when nurses with low workload indexes are performing high-urgency tasks, assign them to nurses with medium workload indexes; for low-urgency tasks, assign them when the nurses’ workload is low.

[0030] It needs to be further explained that, in the specific implementation process, the urgency level of the task should be clarified to make task allocation more targeted and prioritized; by real-time monitoring of the working status of nursing staff and calculation of the workload index, tasks can be reasonably allocated to avoid excessive fatigue of nursing staff and improve work efficiency; tasks should be allocated according to tasks of different urgency and the workload of nursing staff to ensure the rationality and scientific nature of task allocation.

[0031] The feedback evaluation module includes: a quality control unit, which is used to collect nursing staff's feedback on task execution and evaluate the patient's nursing results, and generate quality scores for the evaluation criteria based on nursing industry standards, providing a quantitative basis for the continuous improvement of nursing quality; an improvement generation unit, which is used to generate improvement suggestions based on quality scores and historical data in the management system, and transmit the improvement suggestions to the management system and management, providing decision support for management and promoting the continuous improvement of nursing services.

[0032] 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 nursing information distribution management system based on big data, characterized in that: include: The data collection module is used to collect raw data from the nursing data source in real time and clean the raw data, where the raw data includes patient information, nursing records, resource usage and nursing staff capabilities; the data collection module is connected to the external system through the API interface; A data processing module, connected to the data acquisition module, is used to generate analysis results based on the original data, generate analysis reports based on the analysis results, and transmit the analysis reports to the management level; The intelligent matching module is connected to the data processing module and is used to evaluate the skill level and professional ability of nursing staff to update the nursing staff's skill profile. It is also used to predict future changes in nursing needs based on analysis reports and use the prediction results to optimize the allocation of resources and nursing staff. A task allocation module, connected to the intelligent matching module, is used to adjust the allocation priority of the work task according to the urgency of the work task notification and the workload of the nursing staff, monitor the execution progress of the task based on the allocation priority of the work task, generate a task execution status report, and provide the task execution status report to the management; The feedback evaluation module, connected with the task assignment module, is used to evaluate the execution results of the nursing tasks and generate quality scores for the evaluation criteria according to the nursing industry standards.

2. According to the big data-based nursing information distribution and management system of claim 1, it is characterized by: The data processing module comprises: A data analysis unit is used to analyze the cleaned raw data and generate analysis results, which include identifying potential changes in nursing needs and resource usage patterns; and is also used to generate analysis reports based on the analysis results and transmit the analysis reports to management; The data storage unit is used to extract and store historical data, patient information and analysis results in the analysis report.

3. The nursing information distribution and management system based on big data according to claim 2 is characterized in that: The intelligent matching module comprises: Skill assessment unit, used to assess the skill level and professional competence of nursing staff, generate assessment results, and update the nursing staff's skill profile based on the assessment results; The demand forecasting unit is used to extract historical data and patient information from the analysis report, predict future changes in nursing needs, obtain forecast results, and use the forecast results to optimize the allocation of resources and nursing staff; A resource matching unit is used to match based on patient needs, nursing staff skill assessment results and future nursing needs prediction results to obtain matching results; A decision support unit is used to provide decision recommendations to management based on the matching results and feedback from nursing staff and assessors.

4. The nursing information distribution and management system based on big data according to claim 3 is characterized by: The skill assessment unit assesses the skill level and professional competence of the nursing staff, and the process of generating the assessment result is as follows: First, determine the specific indicators used to evaluate the skill level and professional ability of nursing staff; the specific indicators include professional knowledge assessment, clinical operation skills, communication skills, emergency response skills, and teamwork skills; By organizing theoretical examinations and answering questions on examination papers, we can obtain the nursing staff's mastery of professional knowledge; Professional assessors observe the nursing staff on-site to assess their clinical operation skills and record the accuracy, proficiency and standardization of the operations; evaluate the communication ability by collecting feedback from patients and their families and observing the communication process between the nursing staff and the patients and their families; set up simulated emergency scenarios, observe the nursing staff's response measures and treatment effects, and assess the emergency treatment ability of the corresponding nursing staff; evaluate the teamwork ability by observing the performance of the nursing staff in the teamwork project and collecting the evaluation methods of colleagues; use the above five methods to collect data related to the evaluation indicators and obtain the evaluation data; Quantify the collected evaluation data and give quantitative scores based on the correctness of answers to professional knowledge assessments; For clinical operation skills, quantitative scoring is performed based on the completion status and time of key steps of the operation; for communication skills, emergency response skills and teamwork skills, a graded evaluation method is used to assign corresponding scores; the grades are divided into excellent, good, qualified and unqualified; that is, the quantified evaluation data is analyzed to calculate the scores of each nurse on each indicator and the overall score; Based on the analyzed scores, an evaluation report for each nursing staff is generated in the form of a report; the evaluation report results include the scores of each indicator, the overall score, strengths and weaknesses; at the same time, the nursing staff are classified and ranked according to the evaluation results.

5. The nursing information distribution and management system based on big data according to claim 4 is characterized in that: The process for determining specific indicators for assessing nursing staff skill levels and professional competence is as follows: Clarify nursing work objectives to provide safe nursing services for patients. Nursing work objectives include promoting patient recovery, preventing complications and improving patients' quality of life; determine evaluation indicators based on nursing work, among which nursing work includes clinical nursing, psychological nursing and health education; among which, clinical nursing focuses on and evaluates operational skills and professional knowledge, psychological nursing focuses on and evaluates communication skills and empathy; health education focuses on and evaluates knowledge reserves, teaching ability, interactive communication ability, evaluation and follow-up ability and resource integration and utilization ability; consult corresponding nursing industry standards, specifications and guidelines to understand the corresponding industry's requirements for nursing staff's skill level and professional ability, and obtain standard skill level and standard professional ability; then communicate with patients, their families, doctors, and managers to understand their expectations and needs for nursing staff's skills and professional ability; According to different aspects of nursing work, the evaluation indicators are divided into professional knowledge, clinical skills, communication skills, emergency response capabilities and teamwork capabilities; organize nursing experts, managers and front-line nursing staff to hold meetings and jointly propose meeting evaluation indicators; based on the meeting evaluation indicators, use the voting method to screen, remove duplicate, ambiguous and irrelevant indicators, and obtain retained indicators. For each retained indicator, describe and explain it to clarify the meaning and evaluation criteria of the retained indicator; based on the scoring system and according to the accuracy and timeliness of the nursing staff's execution of medical orders, quantify each retained indicator and obtain the quantitative value; based on the hierarchical analysis method and the obtained quantitative value, divide the importance of each retained indicator and set the corresponding weight for each indicator; Select nursing staff for pilot evaluation, use evaluation indicators to evaluate their skill level and professional ability, and obtain evaluation results; and collect feedback from nursing staff and evaluators during the pilot evaluation process; analyze the pilot evaluation results to obtain analysis results and check whether the indicators can accurately reflect the skill level and professional ability of nursing staff; Analyze the distribution, reliability and validity of the evaluation results; adjust and optimize the evaluation indicators based on the feedback and analysis results of the pilot evaluation; the optimization includes: adjusting the description, quantification method and weight of the indicators; after adjustment and optimization, finally determine the specific indicators for evaluating the skill level and professional ability of nursing staff.

6. The nursing information distribution and management system based on big data according to claim 5, characterized in that: The process of updating the nursing staff skill profile based on the assessment results is as follows: First, access the nursing staff's skill file database, find the corresponding nursing staff skill file, enter the generated evaluation results into the nursing staff's skill file, and analyze the specific impact on the nursing staff's skill file based on the evaluation results to obtain the analysis results; if the nursing staff performs well on the evaluation indicators, it will be highlighted in the skill file, and the corresponding experience and achievements will be recorded; if the nursing staff's performance on the evaluation indicators is insufficient, it will be highlighted in the skill file, and corresponding improvement plans and goals will be formulated; based on the analysis results, the nursing staff's skill file will be updated; the update content includes the adjustment of skill level grades, the expansion of professional ability areas, and the recording of training needs; after the skill file is updated, the updated file content will be saved.

7. The nursing information distribution and management system based on big data according to claim 6, characterized in that: The resource matching unit performs matching based on patient needs, nursing staff skill assessment results and future nursing needs prediction results as follows: Collect patient demand information from the patient's medical records and nursing records as well as communication with the patient and his / her family; demand information includes physiological needs, psychological needs, and life needs; Obtain nursing staff’s skill level and professional competency assessment results from the Skills Assessment Unit; Obtain the prediction results of the patient's future nursing needs from the demand prediction unit; Classify the collected patient needs into categories of urgency, importance, and impact on patient health, and set corresponding high priority, medium priority, and low priority levels for these three categories of patient needs; Based on the skill assessment results of the nursing staff, the strengths and weaknesses of each nursing staff are analyzed, the corresponding professional skill areas of each nursing staff are determined, and the corresponding categories of patient needs are matched to generate the corresponding nursing staff's skill advantages; based on the patient's current demand level and the nursing staff's skill advantages, a preliminary match is made to obtain a preliminary matching plan; then the preliminary matching plan is adjusted based on the nursing staff's workload, scheduling, and the patient's special requirements to obtain a matching result, and a work task notification is generated; the matching result is recorded in the management system; at the same time, the matching result is fed back to the nursing staff, patients, and their families; a work task notification is sent to the nursing staff, and the management introduces the situation and contact information of the nursing staff responsible for their care to the patients and their families based on the work task notification.

8. The nursing information distribution and management system based on big data according to claim 7, characterized in that: The task allocation module includes: A task management unit, used to adjust the priority of work task allocation according to the urgency of the work task notification and the workload of the nursing staff; The task tracking unit is used to monitor the execution progress of tasks based on the assigned priorities of work tasks, record the completion of work tasks, generate task execution status reports, and provide task execution status reports to management.

9. The big data-based nursing information distribution and management system according to claim 8, characterized in that: The task management unit adjusts the priority of work task allocation according to the urgency of the work task notification and the workload of the nursing staff: High urgency: Involving life-threatening situations, marked as high urgency level: Level 1; Medium urgency: For emergency patients, marked as medium urgency level: Level 2; Low urgency: For physical examination sample testing, marked as low urgency level: Level 3; When receiving a work task notification, the task management unit first determines the urgency level of the task based on the nature and source of the task and the relevant description of the patient's condition. The urgency levels include high-urgency tasks, medium-urgency tasks and low-urgency tasks. By connecting with the smart bracelet worn by the nursing staff, the working status of the nursing staff is monitored in real time. The working status includes the number of tasks being performed, the task execution time, and the rest status. At the same time, the scheduling information of the nursing staff is obtained from the hospital's work management system to understand their working hours and the amount of tasks completed on that day. According to the monitored working status, a workload index is calculated for each nursing staff member according to the following formula: workload index = number of tasks being performed × weight 1 + average time for task execution × weight 2 + continuous working time × weight 3; where weight 1 indicates the importance of the number of tasks being performed in the overall workload assessment; weight 2 indicates the contribution of the average time for task execution to the workload; weight 3 indicates the effect of continuous working time on the workload; and the obtained workload index is divided into three levels: high, medium and low; For newly received work tasks, the initial priority is determined according to their urgency level; among them, the initial priority of high-urgency tasks is high, the initial priority of medium-urgency tasks is medium, and the initial priority of low-urgency tasks is low; View the list of nurses who can currently be assigned tasks and their workload index; for high-urgency tasks, assign them to nurses with low workload indexes; for medium-urgency tasks, when nurses with low workload indexes are performing high-urgency tasks, assign them to nurses with medium workload indexes; for low-urgency tasks, assign them when the nurses' workload is low.

10. A nursing information distribution and management system based on big data according to claim 9, characterized in that: The feedback evaluation module comprises: A quality control unit that collects feedback from nursing staff on task performance and patient care outcomes for evaluation, and generates quality scores for evaluation criteria based on nursing industry standards; The improvement generation unit is used to generate improvement suggestions based on the quality scores and historical data in the management system, and transmit the improvement suggestions to the management system and management.

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