142 results about "Nursing care plan" patented technology

The invention relates to a nurse handover management system and method, and relates to the technical field of data processing, and the system comprises a real-time monitoring module which is used for constructing an individualized baseline database of a patient; the data integration module is used for outputting a multi-dimensional structured data set; the intelligent analysis engine is used for identifying clinical state change information of the patient and generating a corresponding risk early warning score; the decision support module is used for generating targeted nursing intervention suggestions; the interactive shift exchange platform is used for generating a structured shift exchange abstract based on the risk early warning score, the clinical change information and the nursing intervention suggestion, and dynamically displaying the structured shift exchange abstract through a mixed reality technology; and the closed-loop optimization module is used for receiving shift-change feedback information and subsequent execution data of the shift-change party, evaluating the completeness of shift-change information, updating a nursing plan, and optimizing and adjusting analysis and recommendation parameters of the system. The system can improve the accuracy and efficiency of nurse handover management.

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

The invention, which relates to the technical field of nursing quality monitoring, discloses a nursing quality monitoring and feedback system comprising a data acquisition monitoring module, a nursing index extraction module, a nursing quality evaluation module, an intelligent analysis early warning module, a nursing quality feedback module and a nursing process optimization module. Wherein the modules are connected through electric signals. According to the nursing quality monitoring and feedback system, through real-time collection and analysis of physiological data of a patient, operation records of nursing personnel and feedback suggestions of the patient and family members, potential problems and risks in the nursing process are found, improvement suggestions are generated, the nursing personnel are guided to adjust a nursing plan, the operation process is optimized, and therefore the nursing quality is remarkably improved; and operation of nursing personnel can be monitored and fed back in real time, improper behaviors can be found and corrected, and standardization and accuracy of nursing operation are improved.

The invention discloses a medical care data management system based on big data calculation, and relates to the technical field of data management, and the system comprises a data collection module, a data security module, a data storage module, a care quality analysis module, a care aid decision support module and a data visualization module. According to the medical care data management system based on big data calculation, by integrating and analyzing massive medical care data, more scientific and accurate decision support is provided for nursing personnel, multi-dimensional nursing data of a patient is collected and is compared and analyzed with a standardized nursing knowledge base, differences and defects in a nursing plan are quickly identified, and the medical care data management system is suitable for medical care. And the deviation of the nursing plan of the patient is determined through data analysis, and prospective decision-making suggestions are provided for nursing personnel, so that the subjectivity and uncertainty of manual judgment are reduced, and the efficiency and accuracy of nursing decision-making are improved.

The invention relates to the technical field of data processing, and discloses a patient rehabilitation trajectory prediction and personalized nursing plan generation method and system. The method comprises the steps of collecting multi-dimensional function evaluation data to calculate a rehabilitation rate index sequence, recognizing a rehabilitation stage and configuring a feature weight vector, predicting a multi-dimensional rehabilitation trajectory through a rehabilitation stage gating sequential network, constructing a nursing task dependency network based on prediction data, and generating a personalized nursing plan through multi-objective optimization. According to the method, the accuracy of rehabilitation track prediction and the individuation degree of the nursing plan are improved, and comprehensive optimization of rehabilitation benefits, safety risks and resource consumption is realized.

The invention relates to the technical field of service quality evaluation, and discloses an internet nursing service evaluation system based on a Kano model, which comprises a nursing data module and a service evaluation module, the system is in network connection with a database through a nursing data module, obtains medical record data, nursing records and satisfaction questionnaires of all patients, classifies the medical record data, the nursing records and the satisfaction questionnaires to form a data set, a service evaluation module analyzes the basic frequency of nursing services needed by each patient and the actually accepted nursing frequency, and finally obtains the nursing service according to the questionnaire data set. The service evaluation module is used for analyzing the change trend of the patient on article preparation satisfaction, service technology satisfaction and nursing plan satisfaction, generating a corresponding fluctuation data set and comprehensively analyzing patient service experience, and the service evaluation module is used for training to generate a Kano model which is used for evaluating nursing services and marking priority levels required by the patient; a nursing service management platform can be helped to fully understand medical requirements of different patient groups, and the efficient nursing service quality is good.

The invention discloses an intelligent nursing plan assessment method, and relates to the technical field of nursing plan assessment, and the method comprises the steps: obtaining the nursing plan assessment data of a patient, namely the personal physiological state data of the patient and the nursing service quality data, carrying out the preprocessing of the nursing plan assessment data, and obtaining a nursing plan assessment sequence; according to the intelligent nursing plan assessment method, the effectiveness and applicability of the current nursing plan of the patient can be assessed more accurately by collecting and analyzing the personal physiological state index data and the nursing service quality index data of the patient and calculating the nursing plan matching coefficient, the physiological state change of the patient is considered, and the accuracy of the nursing plan assessment is improved. In addition, quality factors of nursing services are integrated, the nursing plan can be dynamically adjusted by periodically updating the physiological data and service quality data of the patient, it is ensured that the nursing plan is always matched with the actual demand of the patient, the treatment effect and life quality of the patient can be improved, and unnecessary medical resource waste is reduced.

The invention relates to the technical field of artificial intelligence, and discloses a chronic disease patient-based home nursing auxiliary system. According to the system, physiological data of a chronic disease patient are collected through a remote health monitoring and diagnosis module, physiological function indexes of the chronic disease patient and body health indexes of the chronic disease patient are calculated to judge the abnormal body condition of the chronic disease patient, and health abnormal signals are sent out; a medicine taking reminding message is sent to a chronic disease patient through the smart home device and the smart phone terminal, health data, living habits, personal preferences and character characteristics of the chronic disease patient are recorded, and the risk prediction and intervention module analyzes the recorded data to predict the health risk faced by the patient in the future, so that the health risk of the patient in the future is predicted. And the intelligent nursing plan module performs intervention in advance and generates a health intervention signal, performs data analysis by applying an artificial intelligence algorithm according to the signal, and generates a personalized nursing plan meeting psychological and emotional requirements of the chronic disease patient.

The invention relates to a gouty arthritis patient pain management method and system based on an MDT management mode, and the method comprises the steps: automatically collecting the multivariate clinical data of a patient through integrating an existing information system of a hospital, carrying out the cleaning, standardization and structural processing through a special data preprocessing module, and carrying out the cleaning, standardization and structural processing. A machine learning prediction model trained by historical data is utilized to automatically generate a personalized MDT nursing plan, tasks are intelligently distributed to corresponding team members by means of a workflow engine, the execution condition is continuously monitored in the intervention process, and the nursing scheme is dynamically adjusted based on clinical data and prediction results which are periodically updated. And a complete'monitoring-prediction-intervention-reevaluation 'closed-loop management process is formed. The problems that a traditional MDT mode depends on manpower, efficiency is low, and decision-making lacks data support are effectively solved, and the accuracy, the collaboration and the continuity of pain management and wound surface nursing of the gouty calculus combined infection patient are improved.

By providing a nursing care plan creation support system that enables even new nurses to easily create complete nursing care plans, searches for nursing care plans for similar cases from accumulated nursing care plan records, and enables automatic or semi-automatic creation of nursing care plans using additional learning in a large-scale language model, it becomes easier to create high-quality nursing care plans in a short amount of time. [Solution] The nursing care plan creation support system comprises a nursing diagnosis classification recording means, a nursing outcome classification recording means, a nursing intervention classification recording means, a nursing outcome classification feature vector recording means, a nursing intervention classification feature vector recording means, a nursing diagnosis item selecting means, a nursing outcome item selecting means, and a nursing intervention item selecting means. The nursing diagnosis classification feature vector recording means converts any portion of each classification record document into a feature vector and records it, and the nursing diagnosis item selecting means inputs the patient's symptoms and findings and a group of items of the content of each selected classification into a large-scale language model and selects items appropriate to the patient's symptoms and findings.

A method for electronically generating a care plan is disclosed herein. The method includes comparing a first data structure with a second data structure. The first data structure includes a set of health artifacts pertaining to a first condition of the patient. The second data structure pertains to the patient and the first condition of the patient, and the second data structure includes a subset of the set of the health artifacts. Responsive to the comparing, the method also includes generating the care plan comprising another subset of the set of health artifacts, and modifying the another subset of the set of health artifacts in the care plan based on a detected tone of the patient, a detected emotion of the patient, a medical outcome desired by a physician, or some combination thereof.

The invention relates to the technical field of medical care, in particular to a clinical care information recording method and equipment of an intelligent medical system and a medium. The method comprises the following steps: acquiring a patient category of a current patient, taking other patients in the patient category as target patients, and acquiring a nursing effectiveness degree according to a target achievement condition and a physical sign stability condition of the target patients; screening low-score patients through nursing plan satisfaction scoring, obtaining contrast patients of the low-score patients, and obtaining reference weights of the low-score patients according to differences between the low-score patients and the contrast patients; and presetting reference weights of other target patients except the low-score patient, obtaining a nursing evaluation degree according to the reference weights, the nursing effectiveness degree and nursing plan satisfaction scoring, and judging whether the nursing plan of the current patient is reasonable or not. By acquiring the nursing assessment degree, whether the nursing plan of the current patient is reasonable or not is accurately judged, and the nursing plan of the current patient is adjusted in time, so that the current patient is effectively treated.

The invention relates to the technical field of intelligent medical care, and discloses a drainage port nursing recommendation method and system for a patient with bile leakage. The system comprises a data acquisition module used for acquiring bile drainage data and state data of skin around a drainage port in real time; the cloud decision module is internally provided with a nursing scheme recommendation model associated with a bile leakage nursing knowledge graph, and is used for carrying out fusion analysis on the multi-modal data and generating a personalized nursing plan; the local execution terminal is used for receiving and displaying the nursing plan and guiding nursing personnel to execute and record actual nursing operation data; and the closed-loop feedback module is used for returning the actual execution data and the post-nursing state data so as to optimize the nursing scheme recommendation model and the bile leakage nursing knowledge graph. The technical problems that in traditional nursing, evaluation is subjective, decision-making depends on experience, execution is not standard, and knowledge is difficult to accumulate are solved, and standardization, individuation and continuous self-optimization of bile leakage drainage opening nursing are achieved.

To recommend inspection having high validity, according to a result at each timing of inspection, diagnosis, treatment and progress observation, in a whole workflow of a patient management.SOLUTION: A patient care plan determination system includes: a medical information server for holding attribute information and inspection results of a plurality of patients; an information terminal for providing a patient management policy indicating a classification of a target patient; and a calculator for acquiring predetermined information from the medical information server and the information terminal and determining a test item candidate related to a disease of the target patient. The calculator acquires the attribute information of the target patient and the patient management policy of the target patient from the medical information server, and applies patient attribute information of the target patient, a test result of the target patient, and the patient management policy of the target patient, to a test plan learned model for calculating a test value of each test item for specifying the disease according to the patient management policy, and executes estimation processing of a test value of a future test item candidate of the target patient and output processing of the test item candidate and the test value of the target patient.SELECTED DRAWING: Figure 1

The invention discloses an ear-nose-throat patient postoperative rehabilitation nursing strategy optimization method based on big data, and relates to the technical field of data analysis, and the method comprises the following steps: collecting various original data of an ear-nose-throat operation patient, including preoperative, intraoperative and postoperative whole-process data, integrating the collected data, and forming a rehabilitation nursing data set; and traversing data of the rehabilitation nursing data set, and performing feature extraction. According to the big-data-based postoperative rehabilitation nursing strategy optimization method for the ear-nose-throat patient, personalized requirements of postoperative rehabilitation of the ear-nose-throat patient are accurately matched through big data analysis, a rehabilitation nursing plan is customized for the patient by utilizing a rehabilitation nursing risk assessment result and combining physiological function scores, wound healing states and physiological state change data of the patient, and the patient can be effectively protected. The rehabilitation training device can provide targeted rehabilitation training according to specific conditions of a patient, can more effectively promote rehabilitation of the patient, reduces complications, and improves rehabilitation efficiency and quality.

A system for automated healthcare management of a patient including a virtual agent system that includes multiple specialized personas, each configured to perform specific tasks within a healthcare management process. The personas include a schedule builder persona configured to generate a personalized care plan based on patient data, integrating input from one or more expert resources to tailor the care plan to the patient's needs; and a message builder persona configured to generate and schedule patient communications based on the generated personalized care plan, ensuring that each message is compliant with healthcare regulations.

A system is provided.SOLUTION: A system comprising: means for inputting health information of a person to be cared for; means for organizing and transmitting the inputted health information to a server; means for analyzing the health information stored in the server and generating a AI model; and means for providing a care plan generated by the AI model to a device of the person to be cared for.SELECTED DRAWING: Figure 1

Provide a system. 【Solution means】means for collecting and analyzing the status data of the care recipient; means for collecting and analyzing the status data of the care recipient; means for generating a care plan based on the status data; means for providing the care plan to the caregiver; means for providing the caregiver with information resources for guiding care techniques; means for evaluating the stress level of the caregiver and providing relaxation methods; means for providing a community function that enables information sharing with other caregivers; means for real-time monitoring of the health data of the care recipient using a smart device; means for notifying the generated care plan and displaying information based on the care history; A system including the above.

We provide the system. [Solution] A means of automatically generating treatment policies and care plans by analyzing patient information using generative artificial intelligence, A method for converting visit records into digital data using handwriting recognition technology and centrally managing the information, A means of automatically generating answers to questions outside of one's area of ​​expertise based on analyzed information, We protect information in secure data centers and implement measures to ensure the strict management of highly confidential information. A system that includes this.

This application discloses a method, device, equipment, and medium for monitoring the execution of nursing plans, relating to the field of medical information technology. It preprocesses multivariate nursing information of the current patient to obtain a current nursing plan; inputs the current nursing plan into a target BERT model to obtain structured task tuples including various nursing interventions; uses an incremental FUP algorithm to mine strong association rules between the types of nursing interventions in the structured task tuples and the nursing record types corresponding to the current nursing execution event, and constructs an association graph based on these strong association rules; matches the current nursing execution event with the nursing interventions in the structured task tuples based on the association graph to obtain association evidence information; evaluates the execution status of the current nursing plan based on the association evidence information, and generates a quality control report based on the evaluation results. This eliminates data fragmentation in nursing plan execution monitoring, thereby improving the accuracy of monitoring results.

To provide an effective AI solution for supporting safety and health management of the elderly.SOLUTION: A system is an AI solution to support the safety and health management of the elderly. The system includes accident prevention means, individual care plan provision means, and real-time monitoring means.SELECTED DRAWING: Figure 1

The system according to this embodiment aims to analyze the health status and lifestyle needs of care recipients and propose and monitor an optimal care plan. [Solution] The system according to the embodiment comprises a data collection unit, an analysis unit, a proposal unit, and a monitoring unit. The data collection unit collects data from sensors and medical devices. The analysis unit analyzes the data collected by the data collection unit to determine the health status and living needs of the care recipient. The proposal unit proposes an optimal care plan based on the analysis results obtained by the analysis unit. The monitoring unit monitors the progress of the care plan proposed by the proposal unit in real time.

We provide the system. [Solution] Means for acquiring user care data, medical information, and preference information, A means of analyzing acquired data to generate the optimal care plan, A means for transmitting the generated care plan to the caregiver's information device, A method for analyzing work-related memos and instructions entered by caregivers and updating the database, A method for caregivers to perform their duties while checking care plans in real time and receiving visual instructions using smart glasses, A system that includes this.

A care plan can be created based on the analysis results regarding the user's physical function. [Solution] According to one embodiment of the information processing method, the method includes an acquisition step of acquiring a care plan, an analysis step of acquiring analysis results regarding the user's physical functions, a classification step of categorizing the user's goals, a sorting step of sorting the analysis results and the categorized results into a matrix, and a generation step of generating a care plan and a plan document from the results of the sorting matrix.

The present invention provides an information processing method, an information processing program, and an information processing device for evaluating the status of care services provided. [Solution] The information processing method includes the steps of: accumulating work data when a care worker performs a service-related task; obtaining a care plan relating to the plan for performing the service-related task; evaluating the service by associating the work data with the care plan; and outputting the service evaluation results.

A system for assisting in care of a diagnosed medical patient. The system including an edge device, a plurality of patient monitoring devices, and a database including medical information. The edge device being configured to obtain a care plan for a patient; obtain a care recommendation by inputting a diagnosis and one or more of medical information corresponding to the patient, monitoring data corresponding to the patient, and medical facility inventory information into a patient care model; compare the care recommendation to the care plan to obtain a care insight, the care insight including recommended care that is not included in the care plan; output information corresponding to the care insight, and responsive to a user input selecting the care insight through the human-machine interface, revising the care plan based on the care insight.

The present invention discloses a remote nursing management method and system for patients with endocrine disorder type obesity, which relates to the field of remote nursing technology and includes the following steps: constructing a remote nursing management system, which is divided into a management center, a medical terminal and a user terminal, and comprehensively assessing the patient's physical condition, eating habits, exercise habits and psychological state, and formulating a personalized nursing plan; using remote monitoring equipment to track the patient's physiological indicators, and cooperating with the user terminal to regularly remind the patient to execute the nursing plan. The present invention significantly improves the self-management ability of patients with endocrine disorder type obesity by providing personalized nursing plans and physiological indicator monitoring. Patients can receive customized diet and exercise suggestions based on their own conditions through the user terminal. At the same time, the system ensures that patients perform nursing tasks on time through reminder functions, timely feedback and guidance mechanisms, so that patients can better understand their own health conditions and enhance their initiative in disease management.

The invention discloses a sensitive skin state division standard determination method, a sensitive skin state-based nursing plan recommendation method, a sensitive skin state division standard determination device, a sensitive skin state-based nursing plan recommendation device, computer equipment and a computer readable storage medium. The determination method comprises the following steps: determining scores of a plurality of questionnaires of sensitive skin states, wherein each questionnaire comprises a known sensitive skin state; determining a score distribution rule of each known sensitive skin state according to scores of the multiple questionnaires; and according to the score distribution rule of the various known sensitive skin states, determining score division standards of the various known sensitive skin states, wherein the score division standards can be used for evaluating the corresponding sensitive skin states in combination with scores of the questionnaire. According to the determination method, the score division standard can be determined according to the score of the questionnaire and the known sensitive skin state, so that the sensitive skin state of the user can be evaluated according to the score standard and the score of the questionnaire.

The invention relates to an infectious tophus ulcer wound nursing scheme assessment method and system, and the method comprises the steps: collecting the standardized electronic medical record data of a patient through a medical information system, including demostatistics, wound characteristics, laboratory inspection index sequences and nursing records; after structured processing, timestamp unification and missing value filling are conducted on the data, the data are input into a pre-trained deep learning model, expected wound healing probabilities, predicted healing time and complication risk scores corresponding to different nursing schemes are output, then a comprehensive assessment report is generated, the report is stored in a database, and a visual query interface is provided. And meanwhile, collecting actual nursing result data for continuous optimization and updating of the model. According to the invention, quantitative evaluation and prediction of the nursing scheme are realized, clinical decision making is effectively assisted, and the accuracy of nursing management and the resource utilization efficiency are improved.

The invention provides a risk assessment prevention and control system for an indwelling pipeline. The risk assessment prevention and control system comprises an information acquisition terminal, a risk assessment terminal, a nursing plan terminal, a registration terminal and a control terminal, the information acquisition terminal is used for acquiring patient information and nurse information in a ward; the risk assessment terminal is used for performing risk assessment on the indwelling catheter according to the patient information and the nurse information to generate risk assessment information; the nursing plan terminal is used for generating corresponding nursing plan information according to the risk assessment information; the registration terminal is used for a nurse to perform nursing registration according to the corresponding nursing plan information to generate registration information; the control terminal is used for generating permission information according to the registration information, and the permission information is used for being transmitted to a medicine opening system in the ward so as to unlock the medicine opening system. The indwelling catheter has the effect of reducing the infection risk of the indwelling catheter of the patient.