42 results about "Care protocols" patented technology

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.

The invention provides a multi-mode intelligent analysis internal fistula postoperative rehabilitation nursing method and system, and belongs to the technical field of medical nursing and artificial intelligence crossing. The application aims to solve the problems of single monitoring dimension, subjective risk judgment and static homogenization of the nursing scheme in the existing internal arteriovenous fistula postoperative nursing. The method comprises the following steps: acquiring multi-modal data related to a wound state and a hemodynamic state of an internal arteriovenous fistula; processing the multi-modal data to generate standardized feature data which can be analyzed; generating a risk assessment result about the health condition of the internal arteriovenous fistula; and a preset nursing scheme is dynamically adjusted based on a risk assessment result. According to the method and the device, multi-modal data are fused and an intelligent algorithm is used for collaborative analysis, so that the accuracy and early stage of risk identification can be realized, the individuation and high efficiency of a nursing scheme are realized, and the nursing quality is improved.

The application discloses a traditional Chinese medicine chronic disease family nursing method based on a cloud platform, relates to the technical field of intelligent health services, and comprises the following steps: performing deep fusion and intelligent analysis on a family nursing data package by constructing a virtual patient model, generating personalized data of patient physiological indexes and traditional Chinese medicine syndrome states, generating a customized family nursing candidate scheme based on the personalized data of the patient physiological indexes and the traditional Chinese medicine syndrome states, combining behavior prediction analysis, intelligently evaluating and real-time feeding back, and forming a traditional Chinese medicine chronic disease family nursing management scheme according to a nursing scheme set, combining physiological index and symptom data analysis correction. The application can accurately reflect the current health state of a patient by collecting physiological data and traditional Chinese medicine syndrome information of the patient, combining family environment data, constructing a dynamically updated virtual patient model, and realizing the personalization and dynamic adaptation of a nursing scheme.

The invention provides an individualized nursing scheme intelligent generation method and system based on big data, and relates to the technical field of individualized nursing scheme intelligent generation. Multi-source health data of a target nursing object is collected, feature coding is carried out on the multi-source health data, and a structured health file is generated; performing similar mapping on the health state of the target nursing object according to the diagnosis mapping table and the structured health file to obtain a health state set, and determining an individualized state index according to the health state set; state difference detection is carried out according to the real-time monitoring data and the structured health record, a state change trend vector is generated, fusion analysis is carried out according to the state change trend vector and the individualized state index, and a dynamic health intervention index is generated; and generating an individualized nursing scheme of the target nursing object according to the dynamic health intervention index. According to the invention, the dynamic adaptation of the nursing scheme and the real-time health state of the patient can be realized, and the accuracy and timeliness of the nursing scheme are improved.

A monitoring system for care protocols, comprising sensors connected to electronic devices to input data from a patient, where sensors measure critical values from a patient; an interface for receiving data and allowing users to write and change process control in real time; a processor connected to the interface to receive input parameters, wherein the processor calculates output values based on the input parameters compared to the critical value to determine whether the output values are outside acceptable range; means for setting critical values, ranges of critical value, and alarm points when the critical values are outside of the range; where the interface receives critical patient parameters and the interface includes a manual input and a machine input from one or more sensors; and wherein the system calculates and monitors critical steps or values for a patient and enables the output values for monitoring or display, in real time.

The invention relates to the technical field of medical nursing, and discloses a patient wound intelligent identification method for surgical nursing. According to the method, an image sequence including a visible light wave band, an infrared wave band and an ultraviolet wave band is obtained through image acquisition equipment, and various information of a wound can be comprehensively covered; performing multi-scale feature fusion processing on the data, extracting texture, color and depth features, and constructing a wound feature description matrix; performing semantic segmentation by using a dynamic graph convolutional network based on the matrix to generate a semantic mask; inputting the mask into a pre-trained wound state evaluation model, analyzing a dynamic change trend, and outputting a wound healing stage and an abnormal index; and finally, generating a wound nursing scheme containing dressing change frequency, dressing types and antibiotic use guidance according to a result. The wound state can be comprehensively and accurately identified, a scientific nursing scheme is provided, and the surgical nursing quality and efficiency are improved.

The application discloses an AI-based neurosurgery postoperative nursing system and method, and particularly relates to the technical field of medical care; the application is characterized in that a patient basic parameter set and a characteristic parameter set are constructed, the basic parameter set is coded, nursing cases of the same type of patients in a nursing database are accurately matched, and an adaptive scheme is screened; a comprehensive coefficient is further calculated, i.e., the deviation degree of physiological indexes of the patient and the case, the complication score of the case, the recovery efficiency, the rehabilitation score, etc., a scheme that is highly adaptive to the individual characteristics of the current patient and has an optimal effect is preferentially selected as a preliminary scheme, and the preliminary scheme is sent to medical staff for secondary editing, so that a personalized nursing scheme that completely fits the individual condition of the patient is finally formed, and the problem that, in the prior art, a traditional nursing scheme is mostly formulated by medical staff based on a general nursing guideline, the formulation efficiency is greatly reduced, and the nursing effect cannot be guaranteed is solved.

The invention relates to the technical field of intelligent nursing, and discloses a disease intelligent nursing auxiliary system based on evidence-based data, comprising: an evidence-based knowledge base module integrating multi-source evidence-based data to form a specialized knowledge graph; the model training optimization module carries out base model field fine tuning and multi-algorithm fusion according to the multi-source evidence-based data so as to carry out intelligent decision-making assistance and generate a personalized nursing scheme; the multi-scene intelligent interaction module carries out knowledge pushing, consultation and question answering through multi-terminal interaction; the full-period nursing management module performs staged nursing execution and dynamically adjusts a nursing plan; the quality control early warning module carries out risk early warning, medication verification and flow quality control; and the multi-dimensional effect evaluation module generates a multi-level evaluation report, and drives update of the evidence-based knowledge base and algorithm iteration. According to the invention, an accurate and adaptive whole-cycle nursing scheme and standardized guidance are provided, the nursing risk is reduced by means of real-time quality control early warning, and the treatment compliance and medical experience of a patient are improved.

An object of the system according to the embodiment is to analyze customer data, evaluate frailty risk, and propose individually optimized care.SOLUTION: A system includes a collection part, an analysis part, a proposal part, a data combination part, and a data management part. The collection unit collects customer data. The analysis unit analyzes the data collected by the collection unit and evaluates a frailty risk. The proposal unit proposes individually-optimized care based on the evaluation result obtained by the analysis unit. The data combiner combines the anonymized data of the enterprise and the platform. The data management unit manages the customer data in an environment where privacy protection is emphasized.SELECTED DRAWING: Figure 1

The invention provides a multifunctional digestive endoscope nursing scheme generation method and system, and belongs to the technical field of intelligent medical nursing and human-computer interaction. The method comprises the steps that after a target patient is determined, a pre-examination guidance scheme is determined based on first feedback information of the target patient, and the target patient is a patient needing digestive endoscopy; acquiring second feedback information of the target patient on the pre-examination guidance scheme, and determining an in-examination intervention scheme based on the second feedback information; and after the digestive endoscopy is finished, sending a post-examination nursing scheme to the target patient. The system comprises a pre-examination guidance scheme generation subsystem, an in-examination intervention scheme generation subsystem, a post-examination nursing scheme generation subsystem and a physical instrument used in the digestive endoscopy process, and is used for realizing the method. According to the technical scheme, the bad emotion of the patient can be eliminated, the treatment compliance is improved, and the examination is smoother, so that the accuracy of the examination result is ensured, and the improvement of the clinical treatment efficiency is ensured.

The invention discloses a psychological nursing management method and system based on electroencephalogram biofeedback, and belongs to the field of cognitive disorder nursing and rehabilitation management. According to the method, case basic information, cognitive function evaluation and electroencephalogram related data are obtained and are classified and divided into a joint intervention data set and a conventional intervention data set, individualized electroencephalogram biological feedback parameters and targeted psychological nursing schemes are matched for the joint intervention set, data are collected in stages to generate a comparison data set, and the comparison data set and the conventional intervention data set are matched. An analysis result is output after multi-dimensional analysis; the system comprises a data acquisition module, a data processing module, an intervention data generation module and a result analysis module which interact in sequence. According to the method and the system, the standardization of the whole process of nursing management is realized, the data quality and intervention suitability are guaranteed, the change trend of cognitive function indexes is accurately analyzed, reliable support is provided for intervention effect evaluation and scheme optimization, and the scientificity and normalization of nursing management are improved.

The invention relates to the technical field of medical monitoring and intelligent nursing, in particular to a cardiology department patient home nursing monitoring system and method, and the system comprises a dynamic collection module, an intelligent processing module, a safety storage module, a dynamic calibration module and an application service module. The dynamic acquisition module dynamically acquires physiological and behavior parameters of a patient and transmits the acquired parameters to the intelligent processing module; the intelligent processing module performs feature extraction, abnormity identification and illness state trend prediction, and synchronizes a processing result to the secure storage module and the application service module; the safety storage module encrypts and stores the health data of the patient, and the dynamic calibration module adjusts the calibration period of the equipment, performs automatic calibration and feeds back the calibration result to the dynamic acquisition module; and the application service module generates hierarchical intervention information and dynamically adjusts a personalized nursing scheme. Through dynamic acquisition and processing, dynamic calibration, security encryption storage and dynamic adjustment nursing, comprehensive and effective cardiology home monitoring, accurate data and reliable, accurate and safe nursing are realized.

A patient support apparatus may include a support surface, a multi-component control, first and second components, a memory, and a controller. A patient care protocol is stored in the memory and defines a first desired state for the first component and a second desired state for the second component. The controller, in response to activation of the multi-component control, automatically changes a current state of the first component to match the first desired state of the patient care protocol if the first component is not already in its desired state, as well as to change a current state of the second component to match the second desired state of the patient care protocol if the second component is not already in its desired state. The multi-component control may be located on a mobile device. The controller may also select the patient care protocol from amongst multiple patient care protocols

The application discloses a kind of free skin flap postoperative nursing scheme evaluation and early warning method based on multi-modal monitoring data fusion, it is related to intelligent medical care technical field, for solving the problem that existing monitoring cannot distinguish vascular pathological crisis and nursing environment interference.First, a multi-dimensional time-varying state matrix containing physiological drive and nursing environment characteristics is constructed, realizing the time sequence alignment of heterogeneous data;Subsequently, the pressure-flow conduction characteristics are analyzed, and the blood flow conduction efficiency index reflecting the inherent patency of blood vessels is extracted;At the same time, a physical gain mapping is established based on nursing parameters, and the theoretical target perfusion trajectory under the current nursing state is deduced;Finally, the dynamic residual vector is calculated and combined with the conduction efficiency index for joint determination, accurately identifying vascular structural occlusion and functional inhibition of nursing program, achieving accurate tracing of postoperative crisis and dynamic evaluation of nursing program.

The invention discloses an AI-based nursing service tracking maintenance method, device and equipment, relates to the technical field of AI nursing, and is used for solving the problems that the nursing effect is difficult to quantify and the nursing service tracking maintenance cannot be performed on a user in the prior art. Comprising the following steps: acquiring skin data of a target user from a long-term care database, and analyzing the skin data of the target user by adopting a constructed AI framework to obtain a skin state change trend of the target user; dynamically adjusting the nursing scheme of the target user according to the skin state change trend of the target user; and performing nursing service tracking maintenance on the target user according to the nursing scheme. According to the technical scheme provided by the invention, by combining time sequence analysis, multi-modal learning and enhanced decision making, the nursing scheme can be dynamically adjusted according to the skin state change trend of the user, the personalized nursing requirements of the user are met, the nursing effect is improved, and data-driven decision making is realized.

The invention discloses a nursing parameter adaptation evaluation system and method for an image recognition alimentary canal state, and relates to the technical field of image recognition, and the method comprises the steps: obtaining a plurality of predicted pathological feature vectors and a plurality of evolution probabilities of an alimentary canal target region of a target time domain; selecting a plurality of predicted pathological feature vectors of which the evolution probabilities are greater than or equal to an evolution probability threshold; executing complication risk assessment to obtain a plurality of complication risk coefficients; obtaining a plurality of nursing schemes based on the predicted pathological feature vector and the plurality of complication risk coefficients; and when the prediction pathological feature vector is triggered, calling a corresponding nursing scheme from the nursing scheme, and performing adaptation evaluation on the executed nursing scheme. The problem that an existing nursing scheme lacks accurate evaluation and dynamic adjustment of the individual illness state of a patient, so that nursing measures cannot be timely and effectively handled is solved.

Apparatus and methods are disclosed for monitoring, tracking, and storing vital signs using an adjustable wristband and / or ring designed to fit the patient or user. The apparatus includes integrated components such as sensors, a motherboard, and a web-based platform and / or mobile dashboard. The apparatus work together to notify the patient, healthcare team, and family members when vital signs are abnormal. Additionally, the system displays and securely stores vital signs data, making it accessible to authorized individuals during medical care or for daily health monitoring. The apparatus provides real-time notifications to users upon detecting abnormal vital signs and utilizes artificial intelligence (AI) and machine learning models to analyze health data collected from multiple data sources including EMR systems, multiple personal devices and payers to predict risk to critical illness, recommend preventive care options, and deliver proactive, personalized health insights to users, enhancing remote patient management, improving patient outcomes and overall efficiency.

This invention relates to the field of smart healthcare nursing technology, and discloses a method and system for recommending care for the drainage site of patients with bile leakage. The system includes: a data acquisition module for real-time acquisition of bile drainage data and skin condition data around the drainage site; a cloud-based decision-making module with a built-in nursing plan recommendation model linked to a bile leakage nursing knowledge graph, used for fusion analysis of multimodal data and generation of personalized nursing plans; a local execution terminal for receiving and displaying the nursing plan, guiding nursing staff to execute it, and recording actual nursing operation data; and a closed-loop feedback module for transmitting actual execution data and post-nursing status data back to optimize the nursing plan recommendation model and the bile leakage nursing knowledge graph. This invention solves the technical problems of subjective assessment, experience-dependent decision-making, non-standard execution, and difficulty in accumulating knowledge in traditional nursing, achieving standardization, personalization, and continuous self-optimization of bile leakage drainage site care.

This invention relates to the field of TCM medical information technology, and particularly to a method for generating TCM rehabilitation and nursing plans based on big data-driven syndrome differentiation. The method includes: collecting physiological parameters, medical records, and facial and tongue images to construct a standardized large dataset; using a semantic association model for feature decoupling; deriving syndrome types through syndrome differentiation logic algorithms and generating a syndrome differentiation report; matching the report to a virtual reality rehabilitation scenario; monitoring rehabilitation performance using sensing devices during training and triggering real-time plan adjustments; and applying an evolutionary prediction algorithm to simulate syndrome trends and output a full-cycle TCM rehabilitation and nursing plan. This invention achieves deep integration and closed-loop adjustment of TCM syndrome differentiation and virtual reality, significantly improving the targeting, compliance, and safety of rehabilitation and nursing care.

The invention discloses an intelligent recommendation method and system for a nursing scheme of a patient with advanced tumor, and relates to the technical field of nursing scheme recommendation, and the method comprises the steps: obtaining patient feature data of a target patient, including patient basic features and patient pathological features; matching a target nursing scheme generator according to the basic features of the patient, and obtaining a basic nursing scheme by combining the pathological features of the patient; acquiring historical nursing data of the target patient, and performing personalized adjustment on the basic nursing scheme according to the historical nursing data to generate a target nursing scheme; and sending the target nursing scheme to a nursing execution terminal, wherein the nursing execution terminal provides a nursing service for the target patient according to the target nursing scheme. The technical problem that the patient cannot be optimally supported in the aspects of pain management, medicine use, life quality improvement and the like due to the fact that an existing nursing scheme is not accurate enough in recommendation and low in individuation degree is solved.

This invention discloses a method and system for intelligent scheduling of elderly care service resources based on multi-dimensional profiling, belonging to the field of intelligent scheduling technology for elderly care service resources. The method includes the following steps: integrating elderly health records, wearable data, behavioral habits, and care plans to generate dynamically updated multi-dimensional personal profiles; synchronizing the digitalization of caregiver skills, locations, schedules, and equipment resources; developing care plans for the elderly, selecting 3-5 caregivers with matching skills and geographical proximity from a resource pool according to the complexity of care to form a dedicated service team, and designating a lead caregiver; simultaneously, determining the number of elderly people the lead caregiver can also assist with based on the level of care complexity. This invention, through the combination of multi-dimensional profiling, lead / assistant matching, risk prediction, path optimization, and dynamic scheduling, achieves precise allocation and efficient scheduling of elderly care service resources, balancing care efficiency and human warmth, improving service continuity, safety, and satisfaction, and promoting the intelligent, refined, and humanized development of elderly care.

The invention relates to the technical field of endocrine nursing analysis, and discloses an endocrine nursing effect analysis system based on big data. The system comprises a multi-maintenance nursing data integration module which collects heterogeneous data sources related to endocrine diseases in a hospital information system and generates a structured nursing data warehouse through data cleaning and standardization processing; the nursing feature association network construction module is used for extracting multi-dimensional nursing feature vectors from the structured data warehouse, constructing a single-dimensional feature association graph according to the interaction strength of the feature vectors, and fusing to form a global nursing feature association network; the nursing core feature extraction module is used for calculating the nursing feature dispersion of the multi-dimensional nursing feature vector, and screening to obtain a nursing core feature set in combination with the association strength index of the global association network; and the nursing effect optimization module is used for driving the dynamic adjustment and optimization of the endocrine nursing scheme based on the nursing core feature set. The system realizes accurate adjustment of the nursing scheme, and assists in improving the endocrine nursing effect.

The invention discloses a hospital nursing service reservation and personalized nursing scheme generation system, which belongs to the field of medical service informatization and comprises an entrance module, a transparent information display module, a three-step reservation module, an order management module, a personalized nursing scheme generation module and a message notification module. All the modules cooperate to achieve reservation of hospital nursing service and generation of a personalized nursing scheme, the system depends on WeChat ecology, can enter the system without APP downloading and two steps of searching / code scanning, is suitable for various user groups, and particularly reduces the operation difficulty of family members of the elderly; service content, applicable crowds, charging standards and preferential policies are clearly displayed on a home page, users can quickly compare and select without manual consultation, and information deviation is avoided; the three-step appointment process is standardized, the system automatically calculates the cost, the operation logic is clear, the appointment time is shortened by more than 80% compared with a traditional mode, and the appointment efficiency is greatly optimized.

Apparatuses and methods for monitoring and verifying the performance of one or more patient health care protocols may identify appropriate patient protocols, organize patient protocols across multiple patients for specific caregivers and / or hospital units, display and / or order patient protocols, and / or track compliance with the patient protocols. Protocols may be determined from patient healthcare records and delivered to healthcare staff. The healthcare staff can perform or execute the patient care protocols and the apparatus or method may automatically and non-obtrusively collect evidence that the care protocol has been performed. The patient's healthcare records can be updated to include care protocol verification information.

The system according to this embodiment aims to analyze the vital signs of elderly people and propose and implement an appropriate care plan. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a proposal unit, and a notification unit. The collection unit collects vital signs of elderly people. The analysis unit analyzes the vital signs collected by the collection unit. The proposal unit proposes a care plan based on the data analyzed by the analysis unit. The notification unit provides notification in case of an abnormality based on the care plan proposed by the proposal unit.

The invention provides an auxiliary intelligent chip for nursing of a pci postoperative patient, and relates to the technical field of postoperative nursing assistance, and the intelligent chip comprises a data acquisition module which obtains historical rehabilitation information of a target user, and predicts and obtains a prediction state data sequence; the scheme generation module enumerates and generates a plurality of initial treatment schemes; the risk prediction module constructs a risk prediction channel based on machine learning, performs thrombus risk prediction and bleeding risk prediction in the stent, and outputs a plurality of risk prediction results; the risk evaluation module constructs a risk evaluation function, carries out comprehensive risk evaluation on a plurality of risk prediction results, and selects an initial treatment scheme with a minimum comprehensive risk coefficient as an optimal treatment scheme; and the decision pushing module takes the optimal treatment scheme as a nursing decision suggestion and sends the nursing decision suggestion to the target user for personalized auxiliary nursing. The technical problems that in the prior art, pci postoperative patient nursing scheme recommendation is unreasonable, and scheme adaptability is poor are solved.

The system according to this embodiment aims to analyze the genetic information of pets and provide an optimal care plan. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a generation unit, and a provision unit. The collection unit collects genetic information of the pet. The analysis unit analyzes the genetic information collected by the collection unit. The generation unit generates a care plan based on the results analyzed by the analysis unit. The provision unit provides the care plan generated by the generation unit.

A system and method for recommending surgical care providers and protocols using artificial intelligence (AI) and machine learning (ML) is disclosed. The system comprises one or more processors coupled to a memory that stores instructions for receiving healthcare data from various sources, preprocessing the data, training an ML model to generate recommendations, and iteratively refining the model based on patient feedback. The system receives data related to surgical procedures, hospitals, doctors, and pre- and post-operative care, preprocesses the data using techniques such as data cleaning, normalization, and encoding, and trains a neural network model to generate recommendations for selecting optimal hospitals, doctors, and care protocols. The generated recommendations are provided to users via an intuitive interface, and patient feedback is used to retrain and optimize the ML model for continuous improvement.

The invention provides a nursing grading reminding method and equipment. According to the method, a target starting moment and a first reminding moment of each nursing task are determined according to a preset advance time length and a nursing scheme; and when the current moment reaches the first reminding moment, first-level nursing reminding is carried out. When the current moment reaches the target starting moment, determining a second reminding moment according to the importance level of the nursing task and a current physiological index corresponding to the identity label of the nursed person; when the current moment reaches the second reminding moment, if it is determined that nursing is not carried out between the target starting moment and the second reminding moment, carrying out secondary nursing reminding. According to the scheme, the first-level nursing reminding is carried out before the starting moment, and the second-level nursing reminding is carried out when it is determined that nursing is not carried out between the starting moment and the second reminding moment at the second reminding moment, so that the nursing reminding fault tolerance is effectively improved.

The invention provides a neonatal nursing scheme simulation method and system based on a digital twin model, and the method comprises the steps: carrying out the nursing scheme gene coding of extracted historical nursing data of a neonatal, and obtaining a nursing scheme gene pool; on the basis of the nursing scheme gene pool, candidate nursing schemes are generated through an evolutionary algorithm and input into a digital twinborn model, random noise is introduced into the digital twinborn model to simulate physiological fluctuation of the newborn, and state distribution data are generated; an opposite comparison scene is constructed for each candidate nursing scheme, other conditions are kept unchanged, only preset nursing parameters are adjusted, and a state difference value is calculated by comparing newborn state track differences under different nursing parameters; and calculating a comprehensive evaluation index based on the state distribution data and the state difference value, and then screening out an optimal nursing scheme to identify a nursing scheme which is robust in performance and high in accuracy in an uncertain environment so as to meet clinical requirements of neonatal nursing on refined and personalized decisions.