255 results about "Critically ill" patented technology

The invention discloses an intelligent dynamic triage system and method for emergency patients. The triage system comprises a data acquisition module used for acquiring basic information, physiological parameters and historical records of patients; the artificial intelligence analysis module generates a preliminary triage result; the Internet of Things connection module collects hospital resource data in real time; the central control processing unit is connected with each module to receive data; the dynamic grading decision-making module divides the patients into critical symptoms, severe symptoms, subcritical symptoms and common symptoms; the resource allocation module dynamically generates a resource allocation scheme according to the grading result; the diagnosis and treatment process management module tracks the whole process of the patient and updates state data; when the state of the patient changes, the system transmits data to the artificial intelligence analysis module again for evaluation, triggers the grading decision and resource allocation module, dynamically updates the triage priority and the resource allocation scheme, and achieves closed-loop feedback and continuous optimization.

The invention discloses an outpatient queuing and calling scheduling system based on an AI dynamic decision engine. The outpatient queuing and calling scheduling system comprises a multi-source data acquisition and preprocessing module, a DeepSeek intelligent prediction and scheduling engine, a dynamic priority ranking and calling module and a cross-department resource collaboration module. According to the method, the whole outpatient service process is reconstructed through AI, a closed loop of data driving, intelligent prediction, dynamic scheduling and cross-section collaboration is achieved, a traditional static queue is converted into a dynamic system capable of sensing disease severity, special crowd requirements and resource loads, the medical resource allocation efficiency is improved, the average waiting time of patients is shortened, and the medical resource allocation efficiency is improved. The rescue response speed of critical patients is improved by multiple times, meanwhile, the diagnosis period of difficult cases is shortened through automatic triggering of multidisciplinary consultation (MDT), pregnant women / disabled persons / elderly patients are automatically recognized in cooperation with the multi-modal recognition technology, dynamic priority values are given, and the priority service missed recognition rate is obviously improved.

The invention discloses a critical patient acute lung injury assessment system and method based on machine learning, and relates to the field of acute lung injury assessment, and the method comprises the steps: obtaining chest multi-modal image data of a critical patient, and carrying out the standardization processing to generate a standard data set; dividing the lung area into structural blocks and extracting structural indexes, and selecting compensation missing data through cross-modal space mapping or candidate blocks; identifying a modal conflict area and a structure mutation area to construct a scoring key area; after disturbance screening effective areas are applied, a mean value or weighted fusion strategy is selected according to a consistency index; calculating a lung injury score in combination with the dynamic weight and performing iterative optimization; according to the method, the recognition accuracy of the acute lung injury key area can be improved, and the accurate quantitative evaluation of the lung injury degree is realized.

The invention discloses a risk early warning system based on enteral nutrition management of a patient, and belongs to the technical field of medical technology and biomedicine. A risk early warning system based on enteral nutrition management of a patient comprises a patient monitoring module, a score calculation module, a nutrition control module, an early warning notification module, a nutrition scheme adjustment module and a continuous observation and feedback module. The problems that in the prior art, symptoms of critical patients with the acute respiratory distress syndrome are not monitored in time, the regulation efficiency of enteral nutrition supply is low, errors are prone to occurring, and an early warning mechanism is incomplete are solved. By introducing a real-time monitoring and intelligent quantitative evaluation tool, an automatic regulation and control mechanism and multi-level early warning notification and detailed guidance, main problems existing in enteral nutrition management of the severe patient with the acute respiratory distress syndrome at present are effectively solved, and the rehabilitation process and the treatment effect of the patient are remarkably improved.

The invention relates to the technical field of gastrointestinal tracts, in particular to a gastrointestinal tract ultrasonic virtual simulation nursing teaching platform which comprises a function module and a hardware configuration module. The function module comprises an anatomy learning module, an ultrasonic simulation module, a case training module and an examination and evaluation module; the hardware configuration comprises a VR head-mounted display, an ultrasonic simulator and an operation panel. The system has the advantages of safe and risk-free training, standardized process learning, immersive scene experience and instant feedback evaluation, a high-fidelity gastrointestinal tract ultrasonic virtual simulation teaching platform for critically ill patients is constructed, a 3D virtual model is constructed by using a virtual simulation technology, knowledge is presented dynamically and visually, real situations such as ICU wards and the like are simulated through VR, and real-time feedback evaluation of the gastrointestinal tracts of the critically ill patients is realized. The learning initiative and the sense of participation are stimulated; an ICU environment is virtualized, an unlimited'trial-and-error 'practice space is provided, the equipment cost is reduced, potential safety hazards are avoided, and space-time and safety barriers are broken.

The invention discloses a critical patient physiological parameter monitoring and intelligent early warning system, which relates to the technical field of intelligent medical treatment, and is provided with a multi-modal data collection module for collecting multi-modal physiological parameter data of a critical patient through a sensor array of flexible electronic skin, and a signal alignment module for aligning the multi-modal physiological parameter data of the critical patient. Aligning signal sequences with different sampling rates in the multi-modal physiological parameter data, setting a physiological theoretical range updating module, constructing a transfer learning model according to historical medical records of a patient, updating a physiological theoretical range of a heart rate variation coefficient in real time, setting a grading early warning module, and triggering a Bayesian network composite event detection model. Generating a graded early warning signal, setting a decision support module, dynamically loading a clinical knowledge graph through a micro-service architecture, and pushing decision support information containing rescue priority labels to a monitoring terminal; and the precision and efficiency of intensive care are obviously improved.

The invention relates to the technical field of breathing assisting devices, in particular to an intelligent temperature-control humidifying breathing critical patient assisting breathing nursing device which comprises a global perception fusion central system used for constructing a high-frequency biological characteristic thermodynamic map analysis layer and generating a particulate matter deposition energy level distribution model; forming a composite feature matrix; the self-adaptive airflow modulation matrix system is used for implanting a multi-order recursive calibration engine on the basis of a composite characteristic matrix, a spanning compensation strategy is generated through vectorization processing of a clinical characteristic curve, and a viscous resistance spectrum variation value of an expiratory phase triggers a self-consistent conversion mechanism every time; a dynamic balance point of an aerosol dispersion speed and a water molecule phase change threshold value is autonomously balanced, and a nanoscale lubricating interface of a gas transmission channel is maintained in real time; and the hierarchical response execution network system is used for designing a three-phase interlocking decision tree structure based on a thermodynamic energy level envelope line output by the compensation strategy. According to the invention, a brand new clinical response form exceeding linear control is constructed.

The invention belongs to the technical field of intelligent medical treatment, and discloses an auxiliary assessment system for deep venous thrombosis occurrence risks of critical patients in plateau regions. Comprising a data acquisition module used for acquiring basic data, numerical feature data and image feature data of a patient; the index evaluation module is used for performing group division on the numerical feature data and evaluating real-time indexes; the index detection module is used for acquiring historical indexes and identifying abnormal indexes in the real-time indexes based on the historical indexes and the real-time indexes; the image analysis module is used for analyzing the image feature data, extracting blood vessel feature data and quantifying a form anomaly index; the risk assessment module is used for fusing the abnormal index and the form abnormal index, assessing a thrombus risk coefficient and obtaining a risk degree; the method can effectively improve the assessment accuracy of the occurrence risk of deep venous thrombosis, timely identify high-risk patients, and reduce the occurrence rate of deep venous thrombosis and related complications.

The invention discloses a severe patient organ failure assessment and risk stratification method based on the occurrence time point of blood flow infection, and relates to the field of severe medicine prognosis risk assessment modeling. Comprising the following steps: firstly, collecting daily sequential organ failure evaluation scores of a blood flow infection patient during an infection occurrence period, and dividing data into a training set and a verification set; importing the training set into a group trajectory model for fitting, determining the optimal grouping number of trajectory groups, and verifying the model through a verification set; then, according to a verification result, the patients are allocated to the track group with the highest membership probability for research; finally, a Cox proportional risk regression model is adopted, the correlation between different track groups and the death rate is evaluated, and decisive factors influencing prognosis are determined. According to the method, a robust framework is provided for hierarchical management of ICU blood flow infection patients, the death rate of the patients can be independently predicted, reference is provided for early intervention and formulation of personalized management strategies, and the clinical outcome of the patients is finally improved.

The invention discloses an excrement character recognition and drug delivery closed-loop control method and system, and the system comprises an excrement collection and preprocessing module which is used for carrying out the automatic collection, preliminary physical and chemical character detection and sample preprocessing of the excrement of a patient; the multi-modal data analysis module is used for carrying out deep fusion analysis on the original multi-modal data output by the excrement collection and preprocessing module and carrying out diarrhea type diagnosis and severity evaluation; the drug delivery closed-loop control module is used for accurately and dynamically infusing drugs according to the diagnosis result of the multi-modal data analysis module; and the man-machine interaction and early warning module is used for monitoring and intervening the state of the system by medical staff and receiving important alarms. According to the invention, objective and continuous evaluation of excrement properties is realized, the drug dosage and scheme can be dynamically adjusted according to the properties, and the accuracy, individualization level and safety of diarrhea treatment of critical patients are significantly improved.

The invention discloses a method and a system for identifying muscular weakness of a critical patient, and relates to the field of muscular weakness identification. Subjective clinical muscular strength grading of the patient and instrument detection data are integrated, a muscular weakness grade mapping model of multiple parts is established, and the diagnosis accuracy is greatly improved; through a host / guest part mapping model, namely in combination with subjective feeling and objective detection data of a patient, the medullary muscular weakness symptom prone to missed diagnosis in traditional examination can be identified; on the basis of a muscle weakness index data prediction mechanism, a muscle weakness crisis risk can be warned in advance; through a treatment-evaluation-adjustment closed-loop system, dynamic optimization of a medicine scheme is realized, the crisis occurrence rate can be greatly reduced, the dosage of an immunosuppressive agent is reduced, meanwhile, the treatment effect is maintained, and the system is suitable for patient groups managed for a long time; by establishing a mapping system of a part type set and an index grade set, quantitative unified evaluation of different types such as eye muscle type / whole body type and the like is realized, and subjective judgment errors are reduced.

The invention relates to the technical field of medical monitoring, and discloses an intestinal nutrition monitoring system and method based on a critically ill patient, and the method comprises the steps: collecting a dynamic image of a gastric antrum region of the critically ill patient, and recognizing the contraction frequency and amplitude of the gastric antrum of the critically ill patient to calculate a gastric emptying index; calculating the intestinal transport efficacy of the critically ill patient by using the intestinal peristalsis data and the gastric emptying index; constructing an intestinal nutrition transmission scheme of the critically ill patient, and collecting transmission conversion data about the critically ill patient under the nutrition transmission scheme; the intestinal nutrition tolerance of the critically ill patient is analyzed, the metabolic data and the immune state of the critically ill patient after the nutrition transmission scheme are collected, and a target nutrition transmission scheme is constructed; and monitoring the intestinal nutrition status of the critically ill patient under the target nutrition transmission scheme in real time to obtain an intestinal nutrition monitoring report. According to the invention, the comprehensiveness of intestinal nutrition monitoring of critically ill patients can be improved, so that an optimal nutrition collocation scheme is constructed.

The invention relates to the technical field of biological medicine, in particular to construction and application of a candida patient death risk prediction model. The model is based on traditional SOFA scoring, core variables are screened through single-factor and multi-factor logistic analysis and LASSO regression analysis, respiratory system, blood coagulation function and circulatory system SOFA scoring and key indexes such as the maximum lactic acid value, the minimum albumin value and the maximum blood urea nitrogen (BUN) are integrated, and a prediction model is constructed through logistic regression. Through multi-center data verification, the AUC of an internal verification queue reaches 0.826, the AUC of an external verification queue is 0.813, and a calibration curve shows that the predicted death rate is highly consistent with the actual death rate. Patients can be divided into a high risk group and a low risk group through a 13-score threshold value, and the 28-day survival rate difference is significant (plt; 0.05) of the method. An efficient and convenient early risk assessment tool is provided for critical candida patients, and clinical precise intervention and prognosis improvement are assisted.

The invention belongs to the technical field of lung tissue lesion positioning, and particularly relates to a lung tissue lesion position positioning system and method based on three-dimensional reconstruction. According to the method, overall and local two-stage registration is combined, whole-lung expansion errors are corrected, local deformation is compensated, the lesion position and image alignment is achieved, the three-dimensional lesion position is displayed through the augmented reality technology, doctors are helped to visually master spatial distribution of the focus in the body of a patient, the safety and the success rate of operation or needle biopsy are improved, and the operation efficiency is improved. Based on a breathing model and an elastic registration method, the method can adapt to lung compliance differences and breathing movement conditions of different patients, is particularly suitable for severe or old patients difficult to keep stable breathing, reduces the risk of blind penetration or excessive resection through accurate positioning, and reduces tissue damage and the occurrence rate of postoperative complications.

Methods, apparatus, systems, and computer program products for providing patient predictions are provided in various embodiments. Responsive to receiving an indication of initiation of a patient interaction, a model for the patient is initiated by an assessment computing entity. The model has been trained using machine learning and the model is configured to generate a prediction for the patient. The prediction comprises at least one of an acuity score or a mortality prediction. Responsive to identifying a prediction trigger, the assessment computing entity updates the model for the patient based at least in part on medical data corresponding to the patient. The assessment computing entity generates the prediction using the updated deep learning model. The assessment computing entity provides at least a portion of the prediction such that the at least a portion of the prediction may be used to update an electronic health record corresponding to the patient and / or provided to a clinician for review.

The invention relates to the technical field of medical information, in particular to an intensive care medical patient monitoring system which comprises a dynamic threshold value calculation module used for setting an initial threshold value including a daytime mode blood pressure fluctuation tolerance value based on physical sign data and forcibly triggering an early warning signal when the blood pressure does not reach the initial threshold value; the night sensing and anti-interference module is used for generating a sleep depth parameter through a weighting algorithm according to the physical sign data and the environment data, synchronously transmitting the sleep depth parameter and the night specific physical sign data to the dynamic threshold value calculation module, and if the sleep depth parameter received by the dynamic threshold value calculation module continuously exceeds a preset threshold value, sending the sleep depth parameter to the night sensing and anti-interference module; if yes, the blood pressure fluctuation tolerance is improved to 1.2 times of the daytime mode, and organ perfusion critical parameters are obtained. By integrating the functions of multi-source data real-time processing, dynamic threshold self-adaptive adjustment, night physiological rhythm perception and interference resistance, false alarm intelligent correction and the like, the system is used for realizing complete-cycle accurate monitoring and timely early warning of critical patients.

The invention provides a method and system for determining the volume of the end-expiratory lung and a breathing machine, and relates to the technical field of breathing detection.The method comprises the steps that the volume-impedance relation of the lung of a target object is obtained; and determining the end-expiratory lung volume of the target object based on the absolute impedance of the lung of the target object at the end-expiratory moment and the volume-impedance relationship. According to the method and system for determining the end-expiratory lung volume and the breathing machine, the end-expiratory lung volume can be determined, lung function evaluation, mechanical ventilation strategy guidance, prognosis improvement and the like are facilitated, and the practicability is high. And meanwhile, the device also has the advantages of no radiation, no invasion, low cost, convenience in operation, less time consumption, no requirement on special working environment, low matching requirement on patients, bedside operation, suitability for critical patients and the like.

The invention relates to the technical field of clinical decision support and medical data intelligent analysis, in particular to a critical patient individualized liquid resuscitation decision support system, which is characterized in that a data acquisition unit acquires pulse pressure variation waveform and multi-dimensional physiological data of each stroke volume; a volume benefit analysis channel of the dynamic decision-making unit segments a respiratory cycle, extracts pulse pressure fluctuation characteristics, outputs a per-stroke volume increase probability value through a machine learning classifier, an organ injury early warning channel calculates a blood lactic acid and creatinine clearance rate change rate, and generates an acute kidney injury risk sign in combination with inferior vena cava image verification; the execution control unit sends an infusion control or limit instruction according to the combined state; and the feedback optimization unit adjusts the weight of the model according to the actual value of blood lactic acid removal, and recalculates the probability value, so that individualized precise resuscitation, balance capacity benefit and organ protection are realized, and the treatment safety and effectiveness are improved.

The invention provides acupuncture and moxibustion equipment for critically ill patients and a using method thereof, and belongs to the technical field of medical equipment. The acupuncture and moxibustion equipment comprises a control mechanism and an acupuncture and moxibustion mechanism. The control mechanism comprises a control body, and a controller, a timer and a display screen are arranged in the control body. A needle applying mechanism and a needle feeding mechanism are arranged on an acupuncture main body of the acupuncture mechanism, a needle feeding position is arranged in the acupuncture main body, the needle applying mechanism is arranged above the needle feeding position, and the needle feeding mechanism is arranged on one side of the needle feeding position; the needle feeding mechanism is used for feeding a needle into the needle feeding position, and the needle applying mechanism is used for driving the needle in the needle feeding position to move to realize needle applying; and the needle applying mechanism is electrically connected with the controller. The equipment can be matched with a physician to automatically apply a needle, needle insertion at different angles and lifting, inserting and twisting manipulation operation can be achieved during use, needle inserting time can be automatically monitored, needle pulling can be automatically carried out, the workload of the physician can be greatly relieved, the risk that a doctor and a patient are punctured by a needle is reduced, and the medical experience of the patient is improved.

1. The name of this design product: Transfer vehicle (for critically ill patients). 2. Purpose of this design product: used for transporting critically ill patients. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

The invention discloses a severe patient blood pressure trend monitoring and intervention decision-making system based on deep learning, and relates to the technical field of medical information processing, which comprises the following steps: acquiring a continuous invasive arterial pressure waveform and carrying out pulse-by-pulse segmentation, and extracting pulse-by-pulse average pressure and a multi-dimensional high-frequency waveform characterization quantity; and calculating a voltage-sharing deviation amount, a high-frequency retention amount and a steady-state collapse eigen index in combination with preorder analysis window data, inputting the data into a time sequence deep learning network to obtain a pseudo trend probability, further obtaining a corrected voltage-sharing slope and a real trend slope, respectively calculating a link checking priority and a real low-voltage intervention priority, and outputting an auxiliary intervention decision. According to the invention, link distortion and real blood pressure deterioration can be distinguished, and the accuracy of trend monitoring and intervention decision is improved.

The invention relates to a split transfer device for moving a critical patient to an examination couch, and relates to the technical field of medical equipment.The split transfer device comprises a transfer couch body and a movable bottom frame arranged at the bottom of the transfer couch body, a flexible bed sheet for bearing the patient is laid on the transfer couch body, and a top plate is arranged above the transfer couch body; the four corners of the bottom of the top plate are each provided with a suspension assembly used for hoisting the whole flexible bed sheet. A first driving mechanism used for driving the top plate to horizontally move is arranged above the top plate, and a second driving mechanism used for driving the first driving mechanism to vertically ascend and descend is arranged on one side of the first driving mechanism. According to the transfer device, a more stable critical patient transfer system is constructed by adopting the flexible bed sheet and the suspension assembly, local compression caused by a traditional hard carrier in the transfer process is avoided by adopting the flexible bed sheet, and the flexible bed sheet is linked with the telescopic bottom frame, the positioning assembly and the limiting assembly; and the whole process from hoisting, moving to placing on the examination bed is stable and orderly.

The invention relates to the technical field of medical instruments, and discloses a child critical patient nursing restraint device which comprises a supporting mechanism, the supporting mechanism comprises a supporting frame, supporting legs are fixedly connected to the outer wall of the bottom of the supporting frame, and a first hydraulic rod is fixedly connected to the outer wall of the bottom of the supporting frame; the inner wall of the end, close to the first hydraulic rod, of the supporting frame is fixedly connected with a first connecting shaft, and the adjusting mechanism comprises a second sliding frame fixedly connected with the output end of the first hydraulic rod. The deflection angle of the turnover frame is adjusted through the second motor, so that the contact area between the air bag in the turnover frame and the critical child patient is increased, and peripheral circulation dysfunction caused by long-term too tight compression or improper binding angle of local tissue is avoided.

The invention relates to the field of clinical treatment, and discloses a prone position ventilation multi-part supporting body position pad for severe I CU, which comprises a sickbed, a hand supporting pad, an air cushion, a chest supporting pad and a knee joint supporting pad, and is characterized in that the hand supporting pad, the air cushion, the chest supporting pad and the knee joint supporting pad are arranged on the upper surface of the sickbed; a supporting block is arranged on the upper surface of the sickbed, the supporting block is composed of a buffer layer and a gel layer, a fixing block is fixedly connected to the outer wall of the supporting block, a sliding assembly is arranged in the fixing block, and a connecting column is fixedly connected to the outer wall of the sliding assembly. Through mutual cooperation of a buffer layer, a gel layer, a connecting block, a sliding column, a baffle, a spring, a connecting column and a limiting block, the supporting effect on the feet of a patient is improved, the phenomenon that the patient has a pressure sore symptom is avoided, the position of a supporting block can be adjusted, and the using requirements of patients with different heights can be met.

This invention discloses an infection early warning model and prediction system for critically ill patients based on multimodal monitoring data, belonging to the field of medical artificial intelligence and clinical decision support technology. The system collects multi-source heterogeneous physiological signals, laboratory test indicators, imaging features, and nursing records from patients. Through a self-designed cross-modal feature fusion algorithm and dynamic weight adjustment mechanism, it constructs a nonlinear infection risk prediction model. Furthermore, time-series segmented coding and adaptive threshold correction methods are introduced during model training to achieve early and accurate infection early warning. Compared with existing technologies, this invention significantly improves the sensitivity and specificity of prediction and maintains stable performance across different departments and diseases.

The utility model discloses a severe patient oral secretion collection and drainage flushing device which comprises a support and a negative pressure pipe, the negative pressure pipe is arranged between the top wall and the bottom wall of the support, an arc-shaped plate is arranged at the first end of the top wall of the support, and the end, away from the top wall, of the arc-shaped plate is bent towards the bottom wall. The first end of the top wall extends into the oral cavity of a patient, and the side, back to the bottom wall, of the arc-shaped plate is used for making contact with the upper jaw of the oral cavity. According to the embodiment, the side, back to the bottom wall, of the arc-shaped plate on the top wall of the support can make contact with the upper jaw of the oral cavity of the patient, so that the support is supported and fixed, the situation that secretions at the specific position cannot be normally sucked away due to the fact that a user licks the support and the position of the support deviates is avoided, and the drainage and flushing effect is improved.

The present invention relates to the technical field of patient rehabilitation training, and discloses a rehabilitation training auxiliary device for critically ill patients and a working method thereof, comprising a bed body, a leg support portion being provided on the right side of the bed body, a driven portion for controlling the leg support portion being provided inside and on the top of the bed body, a swinging portion being provided on the right side of the bed body, the leg support portion comprising a main support and a secondary support, the driven portion comprising an arc plate, a connecting rod being fixed to the bottom of the arc plate, the connecting rod passing through the top of the bed body and being slidably connected to the bed body, a spring being fixed on the inner wall of the bed body, the rehabilitation training auxiliary device for critically ill patients and a working method thereof, through the provided leg support portion, the swinging portion and the driven portion, the patient can lie on the bed body and place his legs on the leg support portion, and the leg support portion can support the patient's legs to perform back and forth and up and down swinging training, thereby assisting the patient in leg muscle exercise and avoiding the phenomenon of weakness caused by the patient not exercising.

The utility model belongs to the field of medical equipment, and particularly relates to a breathing critically ill oxygen supply device which comprises an oxygen supply machine, a vertical block is assembled on the oxygen supply machine, a transverse block is assembled on the vertical block, a fixing block is assembled on the transverse block, a guide rod is assembled on the fixing block, an operation motor is assembled on the fixing block, and a double-thread lead screw is assembled on the operation motor. The double-thread lead screw is provided with an external thread, the external thread on the double-thread lead screw is provided with a traction block, the traction block and the guide rod are assembled, the transverse block is provided with a movable rod, the movable rod is provided with a limiting plate and an adjusting block, the adjusting block is provided with a connecting block, and the connecting block is provided with a traction ring. According to the oxygen supply device for the critical respiratory disease, through the cooperation of the double-thread lead screw and the traction ring, the problems that an existing exhaust hose is difficult to keep a horizontal stretching state in the use process, the overlong exhaust hose is in a U shape under the influence of gravity, and oral liquid can be gathered and is not prone to flowing out are solved.

The invention discloses a method for evaluating early activity of a critically ill patient. The method for evaluating the early activity of the critically ill patient comprises the following steps: acquiring sign data of the patient, analyzing the sign data of the patient, and matching a corresponding early activity level; recording related evaluation indexes such as time, completion standard degree, completion speed and error frequency when the patient completes the corresponding early activity level action instruction, comparing the difference between the actual evaluation index and each preset index, and correcting and guiding the action posture of the early activity of the patient; and collecting physical sign data of the patient after completing the action instruction of the corresponding early activity level, comparing the difference of the physical sign data of the patient before and after the early activity, and evaluating the influence on the physical condition of the critical patient after completing the corresponding early activity. By means of the evaluation method, multi-dimensional evaluation can be conducted on the execution efficiency of the early activity of the patient, the evaluation result is objective, and errors generated by manual evaluation are reduced.

The invention relates to the technical field of gastric lavage devices, in particular to a catheter nursing assembly for gastric lavage of a critical food poisoning patient, which comprises a stomach tube with an input port at one end and an output port at the other end and can be inserted from an oral cavity or a nasal cavity to reach the stomach of a human body through an esophagus, an expansion film is arranged on at least part of the outer wall, corresponding to an esophageal area below the epiglottis of a human body, of the stomach tube, and after the stomach tube is placed in a proper position of the human body, the expansion film is tightly attached to the inner wall of the esophagus by inflating an expandable space between the expansion film and the outer wall of the stomach tube, so that the esophageal area is expanded. Therefore, sealing between the outer wall of the stomach tube and the inner wall of the esophagus is achieved, vomit of a human body is prevented from flowing back from a gap between the outer wall of the stomach tube and the inner wall of the esophagus during gastric lavage and is prevented from being sucked into the trachea by mistake, and the vomit can be prevented from flowing out from the gap between the inner wall of the esophagus and the outer wall of the stomach tube in the gastric lavage process. Therefore, the risk that vomitus is mistakenly inhaled by a human body when passing through the trachea is avoided.