313 results about "Nursemaids" patented technology

The invention discloses an intelligent nursing training system and method based on a large language model, and belongs to the cross technical field of artificial intelligence and nursing education. The system comprises a large language model, a dynamic knowledge graph, a virtual case generation module, a multi-modal evaluation module and a federal learning framework. A dynamic knowledge network is constructed by integrating a hospital information system, a high-simulation case containing 60% of error scenes is generated in combination with a generative adversarial network, and a personalized training scheme is optimized by utilizing reinforcement learning. The method covers multi-source data management, nurse ability grading, real-time decision support (four-level alarm system) and closed-loop effect evaluation. The innovation points comprise: (1) a professional nursing large model, wherein the medical term understanding accuracy is greater than or equal to 95%; (2) hour-level updating of the dynamic knowledge graph; (3) clinical-training two-way data linkage, wherein the critical response time is less than or equal to 6 seconds; and (4) realizing cross-department collaboration by federal learning. The system provides an intelligent and personalized solution for nursing talent cultivation, and has industrial popularization value.

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 discloses an AI nursing whiteboard system and method based on a large model agent, the system comprises a nursing whiteboard terminal, an AI intelligent chain platform and a database, the nursing whiteboard terminal comprises an AI nursing assistant, and a whiteboard control system is arranged in the nursing whiteboard terminal. Through the functions of integration of multi-source data, intelligent early warning, accurate question and answer and the like, various diagnosis and treatment data, such as vital signs, medical advices, nursing records and the like, of a patient can be rapidly integrated and presented in a clear and visual mode, a large amount of time and energy are saved, the patient can rapidly know the condition of the patient, and the diagnosis and treatment efficiency is improved. Vital signs and illness state changes of a patient can be monitored in real time, early warning can be immediately given out once abnormal conditions such as heart rate and blood pressure exceeding normal ranges occur, a nurse can know the abnormal conditions in the first time and take corresponding measures, the response speed to emergency situations of the patient is greatly increased, and when the nurse encounters a question in the aspect of medical knowledge, the nurse can timely take corresponding measures. Inquiry may be made by an AI care assistant.

The invention relates to the technical field of medical training, and discloses a training management method for improving nurse nursing information competency, comprising the following steps: S1, through investigation and demand analysis, S2, through cloud computing and big data technologies, S3, introducing a high-fidelity simulation device into a physical simulation module, S4, establishing a dynamically updated case library, and S5, establishing a dynamic update case library; s5, constructing a physical simulation module, S6, organizing teacher special training and a remote tutoring mechanism with an apprentier, S7, introducing an artificial intelligence-based personalized learning recommendation system into a training platform, and S8, combining the artificial intelligence recommendation system with real-time data provided by the physical simulation module. Through special training, nurses not only can grasp theoretical knowledge in a simulated environment, but also can improve the ability to deal with complex clinical conditions through situation drilling and actual operation, and the nurses can deeply understand nursing theories and improve theoretical support and practical knowledge of the nurses in the training process.

The invention relates to a ward noise monitoring reminding device and method based on noise self-defined monitoring, ward noise is collected through a noise sensing monitoring module and a multi-array arranged in a ward and sent to a nurse station, noise monitoring of each ward is carried out through a nurse station edge processor, the edge processor adopts a weighted equivalent continuous sound level algorithm, and the noise of each ward is monitored through the weighted equivalent continuous sound level algorithm. And generating a noise value in a corresponding ward, carrying out threshold judgment, converting a plurality of sampling values into an equivalent continuous sound level and an alarm triggering threshold, and triggering when 65 decibels are exceeded in the daytime. Meanwhile, temperature compensation is combined, the accuracy of noise processing is optimized, a dynamic weighting factor adapts to day and night physiological difference, temperature compensation is introduced to improve environmental adaptability, median filtering is adopted to eliminate instantaneous interference, and high-reliability noise supervision in a medical scene is achieved. The system can replace nurses to manually monitor the noise in the ward, can save nursing resources, and achieves automatic noise reminding.

A method of identifying work conditions likely to cause employee resignation includes receiving a set of attributes for a nurse and receiving a plurality of shift variables. The set of attributes includes one or more attributes that describe the nurse and each shift variable of the plurality of shift variables describes a characteristic of a work condition in a nursing workplace, such that the plurality of shift variables describe a plurality of work conditions. The method further includes predicting a plurality of resignation likelihoods for the plurality of work conditions, identifying at least one work condition of the plurality of work conditions associated with a high likelihood of nurse resignation based on the plurality of resignation likelihoods, and outputting an indication of the at least one work condition.

The invention discloses a nurse dynamic man-hour optimization system based on real-time load sensing, and relates to the technical field of medical information management, and the system comprises a real-time load sensing module which collects and quantifies the real-time nursing workload of a ward unit; the nurse state monitoring module is used for monitoring and evaluating the real-time working state and fatigue level of the nurse on duty; the dynamic optimization decision engine is used for receiving the load quantification data and the nurse state data and generating a real-time nurse task redistribution or man-hour adjustment instruction; and the scheduling execution and feedback module is used for receiving and executing the adjustment instruction and feeding back effect data after instruction execution to the dynamic optimization decision engine. The nursing load and the nurse fatigue state are quantified in real time, the real-time adjustment instruction is generated based on the multi-target dynamic optimization model, accurate and dynamic configuration of nursing human resources is achieved, the scheduling efficiency and balance are improved, meanwhile, the nurse occupational risk is effectively reduced, and closed-loop optimization is formed.

The invention relates to an infusion speed alarm method and system. The infusion speed alarm method comprises the steps that a multi-mode sensing data set is formed; according to the multi-mode sensing data set, whether the conditions of dripping speed abnormity, pressure sudden increase, too large bubbles, pipeline blockage or backflow exist or not is judged, and corresponding abnormal feature information is generated; inputting the abnormal feature information into a prediction model and a fuzzy logic controller of a long short-term memory network, outputting a prediction result of a future infusion speed in an infusion process, and dynamically adjusting an alarm threshold according to the prediction result; executing graded early warning based on the prediction result and the dynamic adjustment alarm threshold value to obtain a graded early warning result of infusion speed alarm; uploading the grading early warning result to a centralized monitoring end of a nurse station through wireless communication to obtain a nursing response result; and performing iterative optimization on the prediction model and the fuzzy logic controller based on reinforcement learning. The accuracy of infusion speed alarm can be improved.

The invention relates to the technical field of medical equipment, and particularly discloses an accompanying-free infusion intelligent management method based on the Internet of Things. The method comprises an alarm liquid stopping device (1), an Internet of Things transmission module (2), a cloud platform (3) and a nurse receiving end (4). When the alarm liquid stopping device (1) detects that the infusion liquid level is lower than a preset position, an infusion tube is automatically locked, and an alarm signal is generated; the Internet of Things transmission module (2) encrypts the signal and uploads the signal to the cloud platform (3) through an operator network such as 4G / 5G / NB-IoT; and the cloud platform (3) analyzes the signal and matches corresponding bed information, and pushes the information to the nurse receiving end (4) for audible and visual alarm. Through the automatic liquid stopping and intelligent notification functions, the problems of dependence on accompanying personnel and low nurse patrol efficiency in the prior art are solved, meanwhile, the system does not need to be connected with a hospital information system, deployment is fast, cost is low, and safety is high. The system is specially used for solving the pain point that accompanying and nursing are needed and a patient calls a nurse after waiting for infusion completion on site, intelligent management of the infusion process is achieved, the infusion experience degree of the patient is improved, the labor use cost is reduced, and the public praise of hospitals, old-age care institutions and the like is improved.

The utility model relates to the technical field of medical instruments, and discloses a skin auxiliary lifting and pinching fixing clamp based on abdominal injection, which comprises an auxiliary pinching clamp, a lifting and pinching part, a handle part, a through groove, a spring ring and a clamping soft cushion. The two sets of handle parts are pressed to be close to each other, so that the clamping soft cushions on the two sets of lifting and pinching parts are opened to clamp the lifting and pinching protruding parts, the lifting and pinching parts are continuously kept fixed, the clamping soft cushions are made of silica gel materials, discomfort of the clamping parts of a patient can be reduced, at the moment, medical staff can concentrate on safe and stable injection of an injection instrument, and the safety of the injection instrument is improved. The situation that a needle shakes and folds due to redundant operation, and discomfort and unnecessary danger of a patient are increased is avoided, so that the skin of the patient can be automatically lifted, pinched, fixed and kept through the device, the hands of a nurse are liberated, the operation difficulty of the nurse is reduced, injection adverse reactions are reduced, and the injection comfort and safety of the patient are improved.

The invention relates to a hospital nursing resource intelligent allocation method and device, equipment and a medium. The method comprises the following steps: generating a nurse skill assessment report based on nursing operation records, training data and patient feedback; secondly, analyzing a nursing demand dependency relationship and a time constraint in the electronic medical record, and constructing a patient demand constraint graph; further quantitatively matching the nurse skill items with the patient demand items, and generating a nurse-demand sorting result sorted according to the matching degree; and finally, through deviation analysis of actual execution data and a prediction result, continuously optimizing the nurse skill evaluation model. According to the method, the technical defects that dynamic changes of nurse skills are not captured in real time, a complex nursing demand dependency relationship is not systematically analyzed, man-post matching lacks a quantitative basis and execution feedback does not drive model optimization in traditional manual distribution are overcome, and the nursing resource utilization rate and the clinical demand response accuracy are remarkably improved.

The invention relates to the technical field of intelligent teaching, in particular to an intelligent nurse teaching system and method based on a dynamic biologic chain and multi-modal evaluation, and the system comprises a capability extraction module, a dynamic fusion module, a task matching module, a node calibration module and a feedback scheduling module. According to the method, by collecting education age limit, clinical experience and rotation duration, combining online testing and practical operation scoring, constructing a capability chain fusing static and dynamic characteristics, forming a continuous capability depicting path, performing horizontal multi-dimensional reflection, and through vector matching of the capability chain and a task library, generating a personalized teaching path, avoiding overload and resource waste; in the simulation process, a step time sequence is compared with a standard process, behavior deviation is marked, tasks and instructions are dynamically updated, directional resources are pushed, key training is enhanced, physiological and behavior data evaluation is fused, state perception and scheduling response are enhanced, an intelligent teaching closed loop is formed, and adaptation and delivery efficiency is improved.

The invention discloses a nurse shoe and a preparation method thereof, and relates to the field of nurse shoes, the nurse shoe comprises an upper, a sole and a detachable insole, the insole is subjected to refined ergonomic design, pressure sinking convex-concave grooves with specific depths are formed in corresponding areas of the first toe, the second toe, the third toe, the fourth toe and the fifth toe and metatarsal bones; supporting pads with matched heights are arranged on the forefoot transverse arch and the foot inner and outer side longitudinal arches respectively, the full-periphery heel cup structure is arranged on the foot heel in a surrounding mode, an all-directional physiological supporting system is formed, the design can be precisely attached to the natural curve of the foot of the human body, pressure of different areas of the sole is evenly dispersed, the local stress peak value of the forefoot, the foot arches and the heel is effectively reduced, and the stability of the human body is improved. The sole is of a three-layer composite structure, the upper supporting layer provides reliable mechanical supporting, the middle buffering layer achieves efficient damping, the moderate-elasticity EVA anti-skid bottom layer enhances the road holding force of the wet and slippery ground through the anti-skid grain design, and the front 1 / 3 bending adaptive area improves the walking flexibility.

The invention discloses a medical staff automatic scheduling system and method based on departments, and relates to the technical field of intelligent scheduling, and the system comprises a pre-scheduling module, a scheme evaluation module, an emergency response module and a temporary adjustment module which are operated in sequence; the technical key points are as follows: the system can perform secondary priority ranking on vacant nurses according to information of response nurses and basic information; according to the method, the qualification quantized value library is established, the qualification grades of nurses are quantized, the proportion of the marked times in the fixed period is combined, the priority index of each nurse meeting the conditions is generated through the index calculation function model, and refined sorting of the nurse priorities is achieved; the scheme not only considers the qualification level of the nurse, but also fully considers the response speed and enthusiasm of the nurse to the emergency state, so that the scheduling of the nurse can be more scientifically and reasonably arranged, and the problems of unreasonable priority ranking and low scheduling efficiency in hospital scheduling management are effectively solved.

The embodiment of the invention provides a nurse occupational health management method and system, and the system comprises the steps: a flexible fabric pressure sensor array module is embedded in a preset position of a nurse uniform, and is used for collecting the posture biomechanical data of a nurse in real time; the microenvironment monitoring patch is used for detecting microenvironment data corresponding to the position information based on the position information of the nurse; the multi-modal data fusion processor is used for performing multi-modal data fusion on the microenvironment data to obtain fused data; the digital twin engine is used for constructing a nurse health prediction model marked with an occupational disease risk hot spot area based on the fused data and the attitude biomechanical data; and the self-adaptive intervention terminal is used for generating and outputting prompt information based on the occupational health prediction result output by the nurse occupational health prediction model. According to the system, the occurrence probability of occupational diseases of nurses is reduced, and the monitoring accuracy is improved.

The invention provides an intelligent performance management system for specialized nurses. The intelligent performance management system comprises a human resource module, a medical science and style module, an evaluation and pre-evaluation module, a work quality module, a training and assessment module and a performance module. According to the intelligent performance management system for the specialized nurses, training of career of the specialized nurses is used as guidance, and all-around performance management is achieved. An intimacy index evaluation item containing model prediction based on an audio and language model quantifies a mechanism of a nurse working attitude, quantitative evaluation is performed on the most critical language of a patient and family members thereof for nurse impressions, and more important and objective evaluation factors are realized.

The invention discloses a nurse terminal operation interface personalized display method, electronic equipment and a storage medium, and the method comprises the steps: obtaining account identity information in response to a login instruction of a nurse; according to the account identity information, querying to obtain corresponding operation habit information; according to the operation habit information, determining a rendering layout relationship between each display area and each control in a preset display interface; performing rendering in the display interface according to the rendering layout relationship; and obtaining current operation data of the nurse in current login, and updating the operation habit information at a preset first time interval according to the current operation data. According to the invention, nurses can complete work more efficiently and accurately.

The invention relates to the technical field of virtual simulation, in particular to a clinical nurse emergency simulation training system and method and a medium, and the system comprises AR glasses which are used for presenting a virtual scene; the brain-computer interface is worn on the head of a nurse and used for collecting electroencephalogram signals of the nurse; the physiological data acquisition device is used for acquiring physiological data of nurses; the dummy serves as an entity operated by a nurse, and a sensor is arranged at a preset part and used for collecting operation data of the nurse; the camera is used for collecting first-aid measure images and voice executed by nurses; the processor is connected with the brain-computer interface, the physiological data acquisition device, the AR glasses, the dummy and the camera, and is used for generating an instruction signal based on the electroencephalogram signal and the physiological data and adjusting or improving a virtual scene based on the instruction signal; and based on the first-aid measure image, the voice and the operation data, the accuracy of the first-aid measure of the nurse is judged, and the first-aid training effect on the clinical nurse is effectively improved through the virtual environment.

The newborn first-aid radiation table comprises a bottom plate and a supporting column arranged on the top of the bottom plate, a heat preservation bed is arranged on one side of the supporting column, and a plurality of drawers are arranged on the other side of the supporting column. The side, connected with the supporting column, of the heat preservation bed is a narrow side, and the drawer corresponds to the narrow side, connected with the supporting column, of the heat preservation bed. According to the newborn first-aid radiation table, the position of the improved drawer corresponds to the narrow side, connected with the stand column, of the heat preservation bed, so that the heat preservation bed completely reserves the use space of the two wide sides, and the standing position of medical staff cannot be affected by the drawer drawing action; according to the design, the standing process of first-aid personnel such as anesthetists, pediatrics, midwives and operation nurses cannot be affected by taking articles, and the first-aid personnel can take various first-aid medicines and articles at the first time and carry out first-aid operations such as oxygen supply, dosing, sputum suction, cardiopulmonary resuscitation and tracheal intubation in time.

This invention provides a nurse call system, a nurse call method, and a nurse call program that can reduce patient waiting times. [Solution] The nurse call system according to this disclosure includes: a display means that, when a nurse call button located in a patient's room is pressed, displays the name of the patient who pressed the nurse call button and the elapsed time on a nurse's terminal and a display terminal; and a notification means that, when the nurse call button located in the patient's room is pressed, first sounds a notification tone on a nurse's terminal held by the nurse in charge of the patient; if the receiver button on the nurse's terminal held by the nurse in charge is not pressed within a predetermined time, sounds a notification tone on a display terminal located in the nurse's station; and if the receiver button on the display terminal is not pressed within a predetermined time, sounds a notification tone on a nurse's terminal held by each nurse in the ward.

The invention relates to an infusion monitoring device, system and method. The infusion monitoring device comprises a shell, a pair of clamping parts symmetrically arranged at the two ends of one side of the shell, a monitoring sensor and a communication module. An accommodating space is formed in the shell and is used for mounting an electronic element; a clamping area for clamping a drip cup of an infusion pipeline is formed between the two clamping parts, and a mounting gap for embedding the monitoring sensor is formed between the clamping area and the shell; the monitoring sensor is arranged at the mounting gap, and the detection surface of the monitoring sensor directly faces the drop falling path of the drip cup; the communication module is arranged in the containing space and is in communication connection with a central data processing system and a monitoring sensor of an external nurse station. When in use, the device is clamped at the two ends of a drip cup through the clamping parts, so that the device is stably limited on the drip cup to realize monitoring of dripping liquid in the drip cup, and meanwhile, a constant distance between the sensor and the drip cup can be ensured, and a monitoring error caused by installation deviation is avoided.

The invention provides a clinical nursing work intelligent distribution method and system based on a VRP model, and belongs to the technical field of clinical nursing. Comprising the steps of obtaining nursing demands and priorities of patients in real time, and regarding the obtained nursing demands as distribution demands; dynamically analyzing the working attribute state of each nurse in the department, and regarding the working attribute state of each nurse as the vehicle state; performing path resource optimization based on a VRP model in combination with a distribution demand and a vehicle state, namely, designing a target function by taking minimization of total resource consumption as a final target; calculating an optimal path by solving a target function; and determining the driving path of each vehicle according to the optimal path, namely determining the work task of each nurse in the department. According to the invention, the minimization of manpower, time and material consumption in the department can be realized on the basis of ensuring reasonable task distribution of clinical nursing work.

A shoe sole and a nurse shoe comprise an outsole and a midsole and are characterized in that a groove matched with the midsole is formed in the top face of the outsole, the midsole can be arranged in the groove, the midsole comprises a fabric layer and a buffer layer which are sequentially arranged from top to bottom, the buffer layer comprises an adhesive and polymer foaming particles mixed in the adhesive, and the polymer foaming particles are arranged in the groove. The groove in the top face of the outsole is matched with the midsole, the midsole can be firmly embedded in the groove of the outsole through the design, the midsole is not prone to shifting in the walking or moving process, the polymer foaming particles in the buffer layer are mixed in the adhesive, and therefore the service life of the insole is prolonged. By means of the structure, impact force borne by the feet during walking, running or jumping can be effectively absorbed and dispersed, and comfort of a user is greatly improved.

The present invention discloses a desktop cleaning device for a nurse station, comprising a second flange, a cleaning box body and a connecting rod, a handle is welded on the upper surface of the cleaning box body, a fixture is welded on one side of the outer end surface of the handle, and a brush handle is clamped inside the fixture, a connecting block is welded on the lower surface of the brush handle, and a brush is welded on the lower surface of the connecting block, a fixing block is welded on the upper surface of the cleaning box body, and a button is movably installed on the upper surface of the fixing block, a through hole is provided on one side of the outer end surface of the cleaning box body, and a fixing plate is movably connected to the inside of the through hole through a hinge, the connecting rod is welded on the outer end surface of one side of the fixing plate, and the connecting rod passes through the cleaning box body and is welded to the button, a first flange is welded on the lower surface of the cleaning box body, a fixing screw is inserted on the lower surface of the second flange, and the second flange is connected to the first flange by the fixing screw. The present invention is convenient for collecting dust and is more convenient to use.

The application discloses a bedside in-and-out hospital one-stop settlement method based on a ward nurse station and a hospital information system thereof, wherein a medical insurance settlement special line is extended and connected to the ward nurse station, and multiple operation permissions such as in-hospital registration, medical insurance settlement, fee collection and discharge handling are configured for nurses; the nurses complete patient identity verification, in-hospital registration and prepayment collection in front of the patient bed through a nursing PDA; after a doctor issues a discharge order, the system automatically pushes the task to the nurse station, the nurse initiates a settlement instruction, the system automatically calls a medical insurance interface to complete real-time segmented settlement and generates an electronic settlement sheet; the patient completes more refund and less supplement through aggregated payment, and the remaining prepayment is returned along the original route; the system prints a settlement voucher and automatically updates a bed state, the application moves the in-and-out hospital settlement service to the bedside, realizes zero running and zero queuing of the patient, significantly improves settlement efficiency and speeds up bed turnover, and simultaneously guarantees medical insurance compliance and operation safety through abnormal interception and biological recognition verification.

This invention relates to the field of psychiatric protective gear technology, specifically to an anti-scratch glove for psychiatric nurses. The glove includes a glove body for wearing on the hand, made of an anti-scratch material, with several anti-slip areas on the palm region. The glove body also includes a securing component for attaching equipment to the arm, a breathable component for ventilation, and an identification component for oriented the glove. This invention aims to improve the reliability and safety of restraint procedures and reduce discomfort when wearing the glove.

1. The name of the design product: operating room nurse workstation. 2. The use of the design product: office equipment for doctors and nurses to assist in the operating room. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: front view.

The present invention discloses a department-based automatic scheduling system and method for medical staff, relating to the technical field of intelligent scheduling. The system comprises a pre-scheduling module, a scheme evaluation module, an emergency response module and a temporary adjustment module which operate in sequence. The technical key points are as follows: the system can perform secondary priority sorting on nurses on leave according to the information and basic information of the responding nurses; by establishing a qualification quantification value library, the qualification level of the nurses is quantified, and combined with the proportion of the number of times marked in a fixed period, the priority index of each qualified nurse is generated through an exponential calculation function model, thereby realizing refined sorting of the nurses' priorities; the scheme not only takes into account the qualification level of the nurses, but also fully considers the response speed and enthusiasm of the nurses to emergency situations, thereby being able to arrange the nurses' schedules more scientifically and reasonably, and effectively solving the problems of unreasonable priority sorting and low scheduling efficiency in hospital scheduling management.