492 results about "Nursing staff" patented technology

The invention discloses a nursing pressure real-time monitoring system and method based on multi-modal data. The system comprises a data acquisition module, an intelligent analysis module, an analysis module and a real-time feedback module. The data acquisition module synchronously acquires physiological data, behavior activity data and environment situation data of nursing personnel and forms a nursing signal; the analysis module receives the nursing signal from the data acquisition module, receives the dynamic situation information from the intelligent analysis module, and generates a pressure state signal containing pressure event evaluation; the real-time feedback module receives the pressure state signal containing the pressure event evaluation from the analysis module, and generates and outputs a real-time feedback signal based on the pressure state signal. According to the nursing pressure real-time monitoring system and method based on the multi-modal data, the problem that traditional wearable equipment only collects physiological behavior data and cannot be associated with specific nursing situations such as drug administration operation and patient first aid can be solved.

The invention provides an intracranial neuron electrical stimulation system for treating epilepsy and other brain diseases involving epileptic seizure, which can immediately apply intracranial neuron electrical stimulation to the interseizure epilepsy activity in a personalized manner after detecting the interseizure epilepsy pattern each time. And the stimulation is activated by intracranial electroencephalogram (EEG) detection. The intracranial stimulation for epileptic activities in the epileptic seizure period continuously acts along with time, the forming process of an epileptic network can be blocked, the neuronal super-synchronization risk is reduced, and therefore the control effect on epileptic seizure is improved. The invention also includes the use of nerve adjustment biomarkers, thereby dynamically optimizing the detectability and providing more accurate overall assessment for the patient's treatment progress. Finally, according to the scheme, by detecting the intracranial EEG mode and the high-risk state mode (such as the epileptic state and the sudden accidental death risk in epilepsy) in the attack period, an instant alarm is given to the patient / nursing personnel, and it is ensured that safe treatment measures are taken for the patient in time.

The invention relates to the technical field of medical care, and discloses an operating room nursing task automatic scheduling system, which is characterized in that a data acquisition module acquires initial data related to an operating room in real time; the task analysis module is used for receiving the initial data acquired by the data acquisition module and analyzing the nursing task; the task scheduling module is used for automatically distributing the nursing tasks according to a result of the task analysis module, generating a task scheduling scheme and sending the task scheduling scheme to corresponding nursing personnel and related departments; the real-time monitoring module performs data interaction with a mobile terminal carried by a nurse and monitoring equipment in an operating room to monitor the execution condition of a nursing task in real time, and when an abnormal condition occurs in the task execution process, an alarm is given out immediately; the feedback and optimization module evaluates and optimizes the task scheduling scheme and adjusts a task allocation strategy; the overall operation efficiency of the operating room is improved, and the professionality and high efficiency of operation cooperation work are ensured.

The invention discloses an intelligent nursing record generation method and device, and the method comprises the steps: obtaining nursing voice data, and carrying out the noise reduction and sound enhancement processing to obtain a preprocessed voice stream; a speech recognition technology fusing ECAPA-TDNN and an x vector is adopted to recognize medical terminologies, and a text transcription result is generated; recognizing the voice of the target nurse from the preprocessed voice stream and the transcription result in combination with a speaker-independent model and a speaker condition model to obtain a voice transcription text of the voice; performing voice analysis and structured processing on the text by using a multi-modal self-supervised learning model and a hierarchical CNN-BiLSTM framework to obtain a structured text with clinical semantic features; key clinical information is extracted in combination with the medical ontology knowledge base, and a nursing record element set is obtained; and based on the nursing record element set, automatically generating a nursing record meeting the specification. According to the invention, the automatic generation from the nursing voice to the standardized nursing record is realized, and the efficiency and accuracy of the medical nursing record are improved.

The invention provides a big-data-based Alzheimer's disease old-age care platform management method and system, and relates to the technical field of old-age care platform management.The method comprises the steps that patient behavior data information is received, missing data points are deduced according to pre-stored patient behavior file historical behavior pattern data and patient behavior data information, and the missing data points are sent to a server; by evaluating the reliability degree of the event chain and comparing the event chain with a dynamically generated reliability evaluation threshold value, when a comparison result reaches an early warning standard, early warning information with a reliability quantitative index is generated, and the problem that an existing platform is poor in reliability under a non-ideal operation condition is effectively solved. The problems of reliable transmission and accurate interpretation of key information are solved, and early warning failure caused by data deviation or missing is avoided, so that the nursing quality and safety of the Alzheimer's disease patient are remarkably improved, and the optimal time for early intervention and intervention is provided for nursing personnel.

The invention relates to the technical field of nursing monitoring, in particular to a nursing monitoring system for collecting postoperative data of a patient based on myoelectricity sensing. The system comprises a frequency calculation unit, a power quality unit and a monitoring scheme unit. The active degree of the muscle signals around the postoperative wound of the patient is monitored through the broken line and the horizontal reference line in the postoperative wound electromyogram of the patient, when the root mean square point of the corresponding electromyographic signal in the broken line is higher than the horizontal reference line, it is monitored that the active degree of the muscles around the postoperative wound of the patient is increased, and the postoperative wound recovery state of the patient is good; the postoperative wound recovery condition of the patient is monitored in real time through the electromyogram, unnecessary examination and intervention can be reduced, a nurse can accurately judge the muscle activity condition of the patient according to the result of the electromyogram, and pain and burden brought to the patient by excessive examination are avoided. Meanwhile, unnecessary measures can be avoided, the medical cost is reduced, and the nursing efficiency is improved.

The invention discloses a hospital nursing quality evaluation system based on hospital information terminal data, and relates to the technical field of medical information, and the system comprises a data acquisition module which extracts index data based on a hospital terminal, and the index data comprises patient satisfaction subjective index data, nursing personnel working life data, performance data and adverse event occurrence probability; after preprocessing the data, constructing a data set; and the analysis module performs correlation analysis on the data of the data set based on the Pearson's correlation coefficient, constructs a nursing quality evaluation model through a neural network, and performs training optimization on the quality evaluation model. The comprehensive evaluation level is efficiently and objectively output through the evaluation module, the result is presented through a visual chart, managers can conveniently master the comprehensive evaluation level, hospitals accurately position nursing service short boards according to the evaluation result, targeted optimization is implemented, the nursing system is continuously improved, the requirements of patients are met, and it is ensured that the nursing quality is kept at a high level; and data in a hospital can be fully utilized.

The invention discloses an intelligent tracking method and system for the rehabilitation state process of an orthopedic patient, and relates to the technical field of medical health. By integrating the wearable device, vital signs, motion states and pressure distribution data of a patient are collected and analyzed in real time, the rehabilitation state of the patient can be accurately monitored, and dynamic progress evaluation is provided; based on a rehabilitation progress evaluation result, the system can automatically generate a personalized rehabilitation exercise scheme, exercise intensity, exercise frequency and a training plan are adjusted according to specific requirements of each patient, and high efficiency and safety of the rehabilitation process are ensured; through analysis of vital sign fluctuation, motion precision and plantar pressure balance, the system can identify potential risk factors in real time and trigger early warning in time to help a patient and nursing personnel thereof to take necessary intervention measures, and smooth proceeding of the rehabilitation process is ensured.

The present invention relates to the technical field of aerosol drug delivery, and discloses a cavity aerosol drug delivery device for elderly care, comprising a main body, a detachable aerosol canister disposed inside the main body, a spray valve for inhaling drugs from the aerosol canister disposed on the upper side of the main body, a main cover fixedly disposed on the left side of the spray valve, and a fixed cover fixedly mounted on the left side of the main cover. The cavity aerosol drug delivery device for elderly care, by respectively placing two support parts against the upper and lower gums of the patient's mouth, and using a support rod to drive the support parts to move relative to each other, can achieve the purpose of opening the elderly patient's mouth, which is beneficial for nursing staff to administer drug treatment to the elderly patient, solves the problem that the elderly patient's mouth is difficult to open on its own, resulting in low drug delivery efficiency, further improves the treatment effect on the elderly patient, and is beneficial for the elderly patient to recover as soon as possible.

The utility model relates to a rolling type urination delivery mattress which comprises a bed body and a delivery mattress arranged on the bed body, and further comprises driving frame sets arranged on the two sides of the bed body. The driving roller is arranged on one of the driving frame groups; according to the rolling type urine delivery mattress, the driving frame sets are arranged on the two sides of the bed body, the driving frame sets are used for connecting the driving roller and the driven roller, and meanwhile the two ends of the delivery mattress are wound on the driving roller and the driven roller respectively. When the puerperal mattress is replaced, the puerperal mattress can be automatically wound on the driving roller only by operating the driving frame set to rotate the driving roller, and meanwhile, the driven roller can synchronously release the same amount of puerperal mattress. By means of the design, the patient is effectively prevented from being repeatedly moved when the puerperal mattress is replaced, interference to the patient is greatly reduced, multiple nurses do not need to be matched with one another, and the efficiency and convenience of nursing work are remarkably improved.

The invention discloses an anesthesia reviving room risk assessment system for postoperative nausea and vomiting prediction, relates to the technical field of postoperative nausea and vomiting prediction, and aims to perform multi-modal fusion on clinical features of a patient and brain function signals to realize basic probability calculation of postoperative nausea and vomiting risks, and introduce real-time dynamic physiological parameters as regulatory factors to realize postoperative nausea and vomiting risk prediction. And performing adaptive adjustment on the basic prediction result to generate a comprehensive risk probability value. The system can collect and process data in real time after a patient enters an anesthesia reviving room, and dynamic and personalized risk assessment is achieved. Compared with a traditional scoring method which only depends on static clinical features, the method has the advantages that tiny fluctuation of the postoperative physiological state of the patient can be captured, prediction precision and timeliness can be improved, clear decision support can be provided for nursing staff, and therefore preventive intervention measures are optimized, and the occurrence rate of complications is reduced.

The present application relates to the technical field of clinical nursing, in particular to a clinical nursing system for interventional surgery, in the present application, through the combination of preoperative medical history, intraoperative real-time physiological data and operation type, depth neural network analysis can accurately identify and predict potential complications, and the nursing plan can be adjusted according to the individual differences of patients, the nursing plan can be adjusted according to the individual differences of patients, the depth neural network can process complex physiological data and identify key physiological data, the long short-term memory network can dynamically adjust the scheme in the nursing process, the change trend of intraoperative data is deeply mined, the physiological index fluctuation is tracked, the abnormality is identified in time and the potential risk is predicted, the nursing decision can be updated synchronously with the physiological state of the patient, the working efficiency of the nursing staff is optimized, and the postoperative recovery effect and comfort of the patient are improved.

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 discloses a Doppler ultrasonic diagnosis system for dysphagia detection, and belongs to the technical field of Doppler ultrasonic diagnosis. The method comprises the following steps: respectively measuring the geniolingual muscle movement, swallowing time, tongue movement and the distance between the tongue bone and the thyroid cartilage of a stroke patient in a B-type ultrasonic mode and an M-type ultrasonic mode, recording test data after multiple swallowing tests, calculating to obtain an average value of the geniolingual muscle movement, the swallowing time, the tongue movement and the distance between the tongue bone and the thyroid cartilage, and calculating the average value of the geniolingual muscle movement, the swallowing time, the tongue movement and the distance between the tongue bone and the thyroid cartilage. Then the measurement results of the swallowing time and the distance between the tongue bone and the thyroid cartilage are used as evaluation and diagnosis bases for diagnosis, so that objective and accurate diagnosis bases are provided for the treatment and rehabilitation process of the swallowing dysfunction of a stroke patient, and nursing personnel can evaluate and diagnose the swallowing dysfunction after the stroke by using a simple B-ultrasonic instrument at the bedside; and the diagnosis accuracy of medical personnel is improved.

The invention provides a pension service supervision method and system based on an image recognition AI model algorithm. The method comprises the following steps: aiming at respiratory arrest, pressure sores and limb stiffness risks in a bedridden old-age care scene, firstly, establishing a physiological abnormality library containing parameters such as a respiratory rate threshold value and a body pressure critical value; a physical sign monitoring device is deployed to collect body pressure hot area distribution data of the bedridden person in real time, breathing interval abnormity, heartbeat attenuation and body pressure exceeding areas are analyzed through an AI model, and a retention risk index is generated. And when the monitoring data exceeds an abnormal library threshold value, triggering multi-modal early warning information, fusing risk area positioning, abnormal duration and temperature gradient change, outputting a multi-modal early warning report combining images and texts, and guiding the nursing personnel to perform targeted intervention. According to the technical scheme provided by the invention, real-time monitoring and multi-mode risk early warning of health hidden dangers in bed are realized, the occurrence rate of complications such as respiratory arrest and pressure sores is reduced, and the precision and response efficiency of nursing for the aged are improved.

The invention relates to the technical field of medical care, in particular to a method for dynamically adjusting the body position of a bedridden patient based on infrared sensing, which comprises the following steps: S1, three-dimensional infrared monitoring: collecting body surface temperature distribution and body contour data of the patient in real time through a plurality of infrared thermal imaging sensors and 3D depth cameras distributed around a sickbed; an eight-channel FLIR A315 thermal imaging sensor (with the precision of + / -0.1 DEG C) and an Intel RealSense depth camera are adopted to construct a three-dimensional monitoring network, sub-millimeter level fusion of a temperature field and body data is realized through non-local mean filtering and an ICP point cloud registration algorithm, the recognition precision of a pressure concentration area is improved to 3 mm < 3 > voxel units and is improved by more than three times compared with a traditional pressure sensing mattress (with the resolution being greater than or equal to 1 cm), and the recognition precision of the pressure concentration area is improved by more than three times compared with that of a traditional pressure sensing mattress (with the resolution being greater than or equal to 1 cm). The temperature gradient monitoring sensitivity reaches 0.1 DEG C / cm, the potential stress injury risk is found 4-6 hours in advance, the risk early warning accuracy rate of data display of a certain hospital in Hainan reaches 92.3%, continuous unattended monitoring is conducted for 24 hours, and the workload of manual temperature measurement of nursing staff is reduced by 80% or above.

The invention discloses a colorectal cancer stoma nursing data processing method and device, and relates to the technical field of nursing data processing, and the method comprises the steps: carrying out the time alignment and abnormality elimination of a stoma part sensor signal, image data and subjective feedback of a patient, and forming initial data; the reading is corrected by using the environmental parameters, cross-source verification is carried out, and calibration verification data is output; then, individual baseline features are constructed, the comprehensive risk amount is calculated, and a self-adaptive threshold evaluation record is generated in combination with a first-order iteration dynamic threshold strategy; and when the risk quantity exceeds a threshold value, an alarm is triggered, and the nurse locally verifies and returns a correction factor, so that the model is gradually adaptive. The method can improve the recognition and response efficiency of acute problems such as skin injury, is more accurate in use in various clinical scenes and patient cases, and remarkably improves the stoma nursing quality.

The invention relates to a multi-modal data driven caregiver training method and device, equipment and a medium, and the method comprises the steps: eliminating the clock deviation of multi-source equipment through the synchronous processing of joint movement, a voice instruction and hand pressure data, and generating a time alignment data set; fusing the nursing action dynamic features and the pressure gradient features by using a time sequence neural network, and constructing a space-time fusion sequence; the joint angle change rate and the pressure parameter are decoded based on a probability model, and an operation continuity index is quantified in combination with time window integration; and finally, identifying weak links of skills according to the mechanical parameter sequence, and matching a clinical standard course library to generate a personalized training instruction. According to the method, the problems of action-instruction collaborative distortion, one-sided single-mode evaluation and feedback disjunction caused by multi-source data time delay are solved, real-time accurate evaluation and immersive adaptive training of nursing operation biomechanical parameters are realized, and the venipuncture stability and the pressure sore prevention force control capability are remarkably improved.

The invention discloses an intelligent mattress for monitoring the bedridden state and vital signs of a patient, and belongs to the technical field of nursing mattresses. The longitudinal sliding rails and the transverse sliding rails are additionally arranged at the bottoms of the module adjusting plates, the angle dynamic adjusting function of the module mattress in the vertical direction is achieved, the mattress can adjust the local height of a bed body in time according to pressure gravity center shifting or posture sudden change, the risk that a patient slides down or shifts is prevented, and the patient lying state analysis module is combined, so that the patient lying state is analyzed. According to the posture and gravity center judgment result of a patient, automatic adjustment can be achieved, when the patient gets close to the bedside or has the falling risk, the guardrail can be automatically lifted, an effective physical barrier is formed, image information and pressure data are fused, the posture state of the patient is comprehensively recognized, protective response is automatically made, and linkage is achieved through an external terminal. Nursing personnel and family members can be informed in time when a patient is in a high-risk state, the response speed and the processing efficiency are greatly improved, and a data-identification-control-feedback full-process closed-loop management mechanism is achieved.

The invention provides a hospital common department infection source real-time monitoring method and system, and belongs to the technical field of intelligent medical health management. The method comprises the following steps: counting at least one use index value of at least one disinfection appliance of each common department; when at least one use index value does not accord with a preset standard value, determining that the common department is a target monitoring department; randomly sampling regional bacteria monitoring is carried out on nursing personnel from the target monitoring department; and determining whether the target monitoring department has an infection source exposure risk or not based on a result of regional bacteria monitoring. The system comprises a statistical unit, a target monitoring department determination unit, a sampling monitoring unit and an infection source risk determination unit, and is used for realizing the method. According to the technical scheme, in the daily diagnosis and treatment process, the department area with the infection source exposure risk can be recognized in time based on the actual clinical data, and the whole process can be automatically executed based on the preset management strategy capable of being dynamically configured.

The invention discloses a rehabilitation assistive device assessment method based on multi-agent and RAG technology. The method comprises the following steps: constructing a multi-agent system which comprises a rehabilitation physician agent, an auxiliary tool engineer agent, a nurse agent and a user interaction agent; building a dynamic knowledge base based on an RAG technology, wherein the dynamic knowledge base comprises an auxiliary tool product database, a rehabilitation medicine knowledge base, a clinical case base and an industrial standard base; interacting with the user, and dynamically adjusting the question mode, the language style and the question sequence according to the user type and the answer content; retrieving in a dynamic knowledge base according to the obtained information, and respectively outputting professional evaluation suggestions; and according to the collaborative decision model, integrating professional evaluation suggestions of the rehabilitation physician intelligent agent, the auxiliary tool engineer intelligent agent and the nursing personnel intelligent agent to generate a multi-dimensional auxiliary tool evaluation report and recommendation scheme. According to the method, the efficiency of the evaluation process of the assistive device is higher, and the evaluation result is more accurate and effective.

The invention provides a radar-based nursing behavior identification method, system and product, and the method comprises the steps: carrying out the target detection of collected radar echo data, and generating a target 2D point cloud based on a target detection result; performing clustering processing based on the target 2D point cloud, and determining position information of the nursed person based on the clustered target 2D point cloud; performing point cloud distribution on the clustered target 2D point cloud based on the position information of the nursed person to obtain a nurse point cloud; performing trajectory tracking on the point cloud of the nursing personnel to obtain a trajectory coordinate sequence; extracting nursing behavior characteristic parameters, and performing nursing behavior compliance judgment based on the nursing behavior characteristic parameters; and generating a nursing behavior compliance auditing report based on the nursing behavior compliance determination result. According to the nursing behavior identification method provided by the invention, the positioning of the old and nursing workers can be realized without any prior position information, and the inspection of nursing behaviors in different scenes can be supported.

The application discloses a self-help putting-on and taking-off device for pressure socks for obese patients with venous edema, which comprises a base, a lifting mechanism arranged on the upper end face of the base, an installation ring arranged on the working end of the lifting mechanism, a preloading support mechanism for bearing and rolling up the pressure socks movably arranged on the installation ring, a plurality of unrolling mechanisms for releasing the rolled-up pressure socks to the lower leg of a patient movably arranged on the inner side of the installation ring, and a control button arranged below the heel of the patient on the upper end face of the base. The device is simple in structure and reasonable in design, and a patient can easily complete the auxiliary operation of putting on the pressure socks alone, thereby reducing the dependence of the patient on the bending ability of the waist and abdomen, the gripping ability of the hands and the assistance degree of nursing personnel when putting on the pressure socks. Meanwhile, the control button is arranged below the heel, and the patient can complete the starting through the stepping mode, so that the operation mode is more in line with the actual use scene of the patient with inconvenient movement.

The utility model relates to the technical field of postoperative rehabilitation, in particular to a bone lumbar puncture postoperative compression hemostasis device and a lumbar puncture postoperative compression hemostasis device.The bone lumbar puncture postoperative compression hemostasis device comprises a hemostasis unit which comprises a transparent patch, a hemostasis assembly arranged at the bottom of the transparent patch and a pressing assembly arranged on the upper portion of the transparent patch; the hemostasis assembly and the pressing assembly are matched with each other, and the hemostasis assembly comprises sponge arranged at the bottom of the transparent patch, antibacterial gel arranged on the sponge and a pasting part arranged on the transparent patch. The compression hemostasis device used after bone lumbar puncture has the advantages that the hemostasis assembly is matched with the pressing assembly, the operation that a third party needs to assist in pressing is omitted, manpower of clinical nursing staff is greatly saved, accuracy of the pressing position can be improved, a specially-assigned person is not needed for pressing, time of medical staff is saved, and the working efficiency of the medical staff is improved. The pressing time can be adjusted according to the actual condition of the patient.

The invention relates to the field of medical auxiliary instruments, in particular to an automatic debridement waste collecting and nursing device in operating room nursing, which comprises a collecting pipe, the collecting pipe is communicated with a collecting head, and a pressure cavity is embedded in the edge of the collecting head; the pressure cavity communicates with a transmission mechanism used for transmitting power, the transmission mechanism is connected with a high-pressure power source, and the transmission mechanism is provided with a power output end and a trigger end. The separating mechanism is used for carrying out solid-liquid separation on waste; the cleaning mechanism is used for conveying cleaning liquid to the collecting head; the power output end is in transmission connection with the collecting head, and the power output end is used for extruding the collecting head to achieve sealing when the pressure cavity is pressed. When the pressure cavity is pressed to a preset stroke, the trigger end triggers the high-pressure power source to release power so as to drive the separation mechanism and the cleaning mechanism to operate, and solid-liquid separation and collection and runner cleaning are achieved. The debridement device is used for achieving debridement integrated operation; operation interruption is reduced, and labor intensity of nursing staff is reduced.

The invention relates to the technical field of virtual reality, in particular to a virtual reality exercise rehabilitation nursing method based on real-time data feedback. According to the method, posture data and physiological parameters of a user in the virtual reality training process are collected, time synchronization of multi-modal data is achieved based on event anchor point alignment, a rehabilitation state map is constructed through a modal attention mechanism and a graph neural network, and the rehabilitation state of the user in the aspects of strength, balance, reaction speed, physiological load and the like is quantified. The training task rhythm and intensity are dynamically adjusted in combination with a deep Q network, a coupling labeling training sample is constructed, the rehabilitation effect is predicted through supervised learning, and follow-up training content and configuration are intelligently recommended. Meanwhile, data in the training process can be synchronized to the nursing end in real time, remote taking-over and intervention of nursing personnel are facilitated, and the intelligence, individuation and safety of training are improved.

The utility model relates to infusion apparatus component technical field, and disclose a kind of infusion apparatus exhaust device, including drip tube mechanism, drip tube mechanism includes rubber tube and liquid outlet mechanism, and the upper end of rubber tube is provided with liquid inlet exhaust mechanism, and liquid inlet exhaust mechanism includes the sealing cover slidingly fitted rubber tube top, and the outer side of sealing cover bottom end is fixedly connected with two embedded nests in concentricity, and inlet is opened between the two side walls of sealing cover central position upper and lower, the utility model discloses by adopting automatic exhaust structure design, and its drip cup mechanism upper portion is provided with sealing cover, and both ends are provided with through-hole, and exhaust pipe is fixedly installed in through-hole, and exhaust nozzle is fixedly installed in the top of exhaust pipe, and liquid-removing gas-permeable membrane is fixedly installed in exhaust nozzle, the excess gas in infusion apparatus can be automatically discharged, and the liquid in infusion apparatus is prevented from overflowing, thereby, the drip cup is not needed to be pressed by artificial to exhaust, it is more convenient, and the nursing work pressure of nursing staff is reduced.

The utility model provides a bedside card capable of rotatably changing prompt content, and relates to the field of medical care auxiliary equipment. The plurality of parallel information display plates are arranged on the front surface of the bedside card body; the right side of each information display plate is correspondingly provided with a rotatable turntable assembly, and the turntable assembly is rotatably connected to the bedside card body through a central shaft; and a plurality of information identification areas which are annularly distributed are arranged on the surface of the turntable assembly. A traditional card inserting mode is replaced with the rotary type rotary disc assembly, nursing information can be quickly updated by medical staff only by rotating the rotary disc assembly, the problems of abrasion and loss caused by frequent card inserting and pulling are avoided, the working efficiency is remarkably improved, each information display plate corresponds to one rotary disc assembly, various nursing state options can be provided, and the nursing efficiency is improved. Layout chaos caused by traditional card stacking is avoided, and flexibility is improved.

This utility model relates to the field of urine collection bag technology and discloses a urine collection bag for bladder irrigation in urological patients. It includes a lifting arm and a urine collection bag. A hook is fixedly connected to the middle of the upper surface of the lifting arm, and a warning light is installed in the middle of one side of the lifting arm. A power supply is installed inside the lifting arm. Slides are formed on both sides of the lifting arm. A conductive block is fixedly connected to one side of the bottom wall of the slide, and a spring is fixedly connected to the other side of the bottom wall of the slide. An inlet pipe is fixedly connected to one side of the upper surface of the urine collection bag, and a drain pipe is fixedly connected to the middle of the lower surface of the urine collection bag. This urine collection bag for bladder irrigation, through the design of an observation window and built-in scale lines, reduces the interference of bag deformation and light refraction on readings. Nursing staff can intuitively and accurately read the volume of irrigation waste fluid, ensuring accurate recording of intake and output balance, and providing reliable data support for assessing the patient's bladder irrigation effect, bleeding, and renal function recovery.

The utility model relates to the technical field of turning-over auxiliary tools, and discloses a turning-over auxiliary device for oncology department nursing, which comprises a drawsheet and a fixing assembly, the outer surface of the fixing assembly is fixedly connected with a side plate, a bearing is embedded in the side plate, the inner part of the bearing is rotatably connected with a transmission rod, the outer surface of the transmission rod is fixedly connected with a reel, and the reel is fixedly connected with the fixing assembly. A woven belt is wound on the outer surface of the reel, one end of the woven belt is connected with a safety hook, cloth buckles are connected to the two sides of the drawsheet in a sewing mode, and circular rings are sleeved with the cloth buckles. The worm gear is driven to rotate by rotating the rotating handle and the worm, the reel on the transmission rod is promoted to wind a woven belt, then one side of the drawsheet is pulled to turn over a patient, the self-locking function of the worm gear and the worm ensures that the drawsheet does not rotate in the rotating process, safety and reliability are achieved, the drawsheet can stably support the body of the patient in cooperation with connection of the cloth buckle and the circular ring, operation is easy, labor is saved, and operation is convenient. The working intensity of nursing personnel is greatly reduced, and the turning-over efficiency is improved.