55 results about "Perioperative" patented technology

The invention discloses a postoperative sub-delirium syndrome risk prediction system for a cardiac surgery patient, and relates to the technical field of medical treatment, and the system comprises a clinical data collection module which is used for collecting multi-dimensional clinical data of the cardiac surgery patient in a perioperative period under extracorporeal circulation, the data comprises patient baseline information, preoperative neurocognitive function evaluation indexes, intraoperative physiological parameters and postoperative early-stage vital signs; and the risk identification module is used for utilizing a single-factor statistical analysis mechanism. According to the postoperative sub-delirium syndrome risk prediction system for the cardiac surgery patient, accurate prediction of the sub-delirium syndrome risk is achieved by collecting multi-dimensional clinical data of the patient in the perioperative period, such as baseline information, preoperative neurocognitive function, intraoperative physiological parameters and postoperative early-stage vital signs; the independent risk factors are scientifically screened and quantified by using single factor analysis and a multivariate Logistic regression model, and the problem of incomplete data dimensions in traditional evaluation is effectively solved.

The invention relates to the technical field of wisdom medical treatment, in particular to a wisdom medical data self-supervision deep processing analysis system, which comprises a multi-department data sensing layer for acquiring multi-department data and postoperative follow-up visit data of a patient; the operation period feature processing center extracts data features of all departments, correlates data before and after an operation through an attention mechanism, and generates a patient perioperative period unified feature map; the full-cycle dynamic analysis unit analyzes the state of the patient in stages based on the patient perioperative period unified characteristic spectrum, and outputs a risk index in combination with a self-supervised training prediction model; the adaptive clinical decision module generates customized suggestions for different departments according to the analysis result and the risk index; the cross-department data collaboration unit is used for constructing a visual collaboration platform, so that doctors of all departments share and interact with a whole-cycle analysis result of an operation; and the dynamic feedback optimization unit collects clinical diagnosis and treatment results and performs reverse fine tuning on parameters of the self-supervised model. Therefore, the problems of strategy solidification, insufficient energy utilization efficiency and the like in the prior art are solved.

The invention discloses a film water collection negative pressure system for an antibacterial operation. The film water collection negative pressure system comprises a water collection main body, a waterproof film and a negative pressure drainage tube. The shape of the water collecting main body is configured to surround a water collecting area on the outer side of a surgical incision on the body surface of a patient, and microporous structures facing the stoma of the human body are distributed on the water collecting main body; the water collecting main body and the water collecting area are covered with the waterproof thin film, the waterproof thin film is provided with a surgical operation opening corresponding to the stoma of the human body in position, and the waterproof thin film is further provided with a liquid passing hole facing the micropore structure; the head end of a tube body of the negative pressure drainage tube is connected with the micropore structure in an attached mode. And the tail end of the tube body of the negative pressure drainage tube is communicated and connected with a negative pressure source. Sterile normal saline for lavage incision can be prevented from flowing to an operating table, a bed sheet and the ground along the body of a patient, the sterile environment of an operation area is guaranteed, the risks of low body temperature, postoperative infection and the like in the operation of the patient are reduced, and the experience of the patient in the perioperative period is improved.

The invention discloses an intelligent assessment and auxiliary decision-making system for a perioperative period of a high-risk surgical patient, and belongs to the technical field of intelligent medical treatment. Comprising a set definition module used for defining a perioperative period state set; the logic set binding module is used for presetting a state binding logic set; the data migration module is used for inputting the multi-source heterogeneous perioperative period data into the state migration engine; the logic set activation module is used for dynamically adjusting the monitoring frequency, the early warning threshold and the decision support focus; the suggestion generation module is used for generating instant early warning and intervention suggestions; and the data recording module is used for feeding back and recording. According to the method, the dynamic state transition mechanism is constructed, and the corresponding monitoring and decision logic is bound for each state, so that the problems of early warning lag, untimely intervention and easy interruption of an intelligent management process caused by disconnection of system response logic and a clinical actual stage in the prior art are solved.

The present application relates to the technical field of medical monitoring and nursing, in particular to a kind of anesthesia perioperative patient emotion real-time monitoring and active pacification system, including multidimensional biological signal perception module, space-time associated emotion prediction engine, neural feedback type active pacification module, surgical event linkage unit and medical intelligent decision terminal.Multidimensional biological signal perception module fuses electromyogram subconscious emotion capture, saliva cortisol microfluidic rapid detection and non-contact physiological monitoring technology, realize the synchronous acquisition of subjective emotion and objective biomarker;Space-time associated emotion prediction engine is based on the time sequence characteristics of surgical event and patient historical data, advance prediction emotional fluctuation risk;Neural feedback type active pacification module is through transdermal electrical stimulation and multi-sensory collaborative output, forms emotion regulation closed loop;Surgical event linkage unit and operating room equipment real-time interaction, automatically trigger pre-pacification mechanism at key operation node.

The present disclosure includes methods (100, 200) for improving surgical accuracy and effectiveness in medical procedures by using an augmented reality system (300). The method (100, 200) involves: generating a preoperative plan in an augmented reality environment by visualizing a holographic representation of a patient's anatomy; recording program data according to the preoperative plan; using the recorded data to update the augmented reality system; and applying the updated system to establish a continuously improved feedback loop. According to the method, by integrating real-time data feedback into the operation process, the accuracy of the operation is improved, the effect of the patient is improved, the program is optimized, and continuous improvement of medical practice is promoted.

The invention belongs to the technical field of biological medicine, and discloses a portal cholangiocarcinoma postoperative risk prediction model based on a gamma-glutamyltransferase (GGT) dynamic change track and a construction method thereof. The method comprises the following steps: (1) collecting clinical characteristic data and survival characteristic data (including survival time and survival state) of a patient suffering from porta hepatis cholangiocarcinoma subjected to radical resection; 2) on the basis of GGT detection results at different time points in a perioperative period, dividing patients into different GGT dynamic change track types by using a latent category hybrid model; and 3) taking the clinical characteristic data and the GGT dynamic change track type as independent variables, taking survival data as response variables, screening prediction factors through LASSO regression, and constructing a multi-factor Cox regression model, namely a postoperative risk prediction model. According to the method, the dynamic evolution rule of the GGT is introduced, so that the limitation of single-time static detection is made up, the quantitative evaluation of the survival risk is realized, and a scientific basis is provided for individualized treatment and follow-up visit management.

Method, device, system and associated processing logic for providing optimal perioperative nociception management to anesthetized patient, including monitoring a plurality of nociception-related physiological parameters of the patient using at least two non-invasive physiological sensors; combining the plurality of nociception-related physiological parameters into a nociception index value indicative of a level of nociception of the patient, by applying a machine learning algorithm on the plurality of nociception-related physiological parameters and / or features derived therefrom; comparing the nociception index value to a first threshold value indicative of an upper limit of nociceptive-anti-nociceptive balance (NANB) and to a second threshold value indicative of a lower limit of NANB; and providing a treatment or treatment recommendation based on the comparison and on a clinical concern.

The application discloses a brain hemorrhage perioperative medication scheme intelligent recommendation method and system, acquires physiological parameters and operation time sequence characteristics of a patient, constructs a patient risk image, carries out risk matching with a drug knowledge base to generate a candidate drug set, extracts drug attribute characteristics to determine a drug function grouping, carries out adaptability scoring based on the patient risk image to generate a grouping adaptability matrix, carries out drug interaction analysis to identify synergistic pairs and antagonistic conflict pairs, carries out combination optimization on the synergistic pairs to generate a synergistic scheme, carries out conflict exclusion screening on the antagonistic conflict pairs to generate safety constraints, constructs a medication scheme topology, carries out dose sensitivity anomaly detection and correction to generate a correction factor to generate a time-sharing drug administration scheme, carries out real-time monitoring to carry out perfusion evaluation to determine a safety level and trigger dose adjustment, forms an optimized medication scheme, and realizes intelligent recommendation of perioperative medication.

The invention provides a perioperative period stress identification method and system based on HRV intelligent monitoring, and relates to the technical field of medical data processing, and the method comprises the steps: determining segmented periods in a perioperative period of a monitoring period; determining a plurality of HRV data and physiological index data, and a first input vector and a second input vector of the HRV data and the physiological index data; determining time period coding information according to the segmented time period and the starting time of the monitoring period; and determining a stress index through a stress identification model. According to the system and the method, various signals of the patient in the perioperative period can be acquired through the wearable physiological signal acquisition device, whether the patient has a stress response in each subsection period or not is identified by utilizing the characteristic that the HRV signal can reflect the sympathetic nerve condition, and various physiological index data are utilized for auxiliary judgment; according to the method, the accuracy and confidence of recognition are improved, various collected data can be continuously acquired and updated, and the timeliness of recognition is improved.

The utility model discloses a medical anti-slip, convenient flushing, pressure measurable single 'J' tube, which comprises a single J tube annular part and a single J tube main body, the right end of the single J tube main body is provided with the single J tube annular part, the left end of the single J tube main body is provided with a single J tube side branch, the lower side of the single J tube side branch is provided with a drainage bag, and the drainage bag is provided with a drainage hole. The single J tube collateral branch is connected with the drainage bag through a collateral branch flushing sampling end, and is used for a patient subjected to ureteral skin stoma pelvis ureteral drainage after radical bladder resection, the postoperative ureteral stent can be better prevented from slipping, the postoperative ureteral stent can be conveniently flushed, necrotic tissues and foreign matters can be flushed out in time, flushing and pressure measurement are facilitated due to sufficient drainage, and the drainage effect is good. Risks of hydronephrosis and exuresis caused by blockage of the ureteral stent after the operation of a patient are reduced, sampling after the operation is convenient, the condition of intrarenal pressure of the patient is known in time, and the problems that the ureteral stent slips easily and is difficult to wash in the perioperative period are solved.

Abstract The invention relates to a perioperative cobotic system designed to monitor, assess, and manage bioburden in real-time within operating room environments during surgical procedures and turnover phases. The system includes a mobile base equipped with a drive mechanism for maneuverability, a camera to capture image data, an actuator for camera movement, and a biosensor for direct bioburden assessment. Abstract assessment. 20 26 20 16 37 04 M ar 2 02 6 A b s t r a c t 2 0 2 6 2 0 1 6 3 7 0 4 M a r 2 0 2 6 a s s e s s m e n t .

The invention discloses a plasma metabolism biomarker combination for predicting and intervening propofol-induced respiratory depression, a detection method and application, and relates to the technical field of biological science. According to the method, non-target metabonomics detection is conducted on preoperative plasma of 298 subjects through UPLC-MS, 14-metabolite panels are obtained through machine learning supervised feature screening, a diagnosis model is established through verification of discovery and verification queues, and the prediction AUC of severe respiratory depression reaches 0.86-0.91 (discovery queue) and 0.86-0.91 (verification queue). Mouse in-vivo function verification proves that the key metabolite alpha-linolenic acid obviously improves the respiratory rate, the tidal volume and the minute ventilation volume under two administration paradigms of pretreatment and treatment of a mouse propofol-RD model, shortens the recovery time of righting reflex, has a good safety foundation, and has a good application prospect. Prompt can be converted into a foresight supplement or rapid treatment medication thought in a perioperative period, and a'prediction and intervention 'integrated clinical value is formed.

The invention provides a perioperative period hypotension probability prediction method which can be applied to the technical field of perioperative periods. The method comprises the following steps: collecting a multi-modal physiological signal and static demographic information of a patient in a perioperative period; segmenting the multi-modal physiological signal into signal segments with fixed lengths to serve as analysis units; performing weighted summation on time proximity, hemodynamic severity and blood pressure tendency to obtain a continuous perioperative period hypotension probability soft label of each signal fragment; discrete medical priori features are extracted from the arterial blood pressure signals in the signal segments; based on the signal segments and the medical prior features, frequency domain features and time domain features are extracted by using a double-current neural network; splicing the frequency domain feature, the time domain feature and the medical prior feature into a fusion feature vector; training a double-flow neural network by using the fusion feature vector and an adaptive optimization algorithm to obtain a trained double-flow neural network; and predicting the hypotension probability in the perioperative period by using a double-flow neural network.

Randomization methods for healthcare scheduling optimization using perioperative stages. Poor scheduling of surgical appointments and procedures in operating rooms can lead to unnecessary downtime, and therefore loss of efficiency. The randomization methods include various probability models, Monte Carlo simulations, and stochastic optimization is used to optimize procedure scheduling in operating rooms. The optimized schedule may be based on estimated procedure duration, estimated turn-around-time, estimated cancellation frequency, forecasted emergency operating room usage, estimated surgeon utilization, and hospital site configuration. A probabilistic machine learning model may be trained based on historic data and ongoing performance data to automate the optimization process and increase accuracy based on up-to-date information and statistics.

The invention provides an eCRSwNP nasal endoscopic postoperative treatment method for regulating acidophilic granulocyte activity based on acupuncture, and relates to the technical field of traditional Chinese medicine for preventing and treating nasosinusitis diseases. According to the eCRSwNP nasal endoscopic post-operation treatment method for adjusting the acidophilic granulocyte activity based on acupuncture, accurate adjustment of the acidophilic granulocyte activity is achieved through a synergistic scheme of a nasal endoscopic operation, perioperative drug treatment and standardized acupuncture treatment, the postoperative recurrence rate is reduced, and the nasal symptom and life quality of a patient are improved. Acupuncture point selection, operation specifications, treatment frequency and treatment course of acupuncture are defined, a repeatable and generalizable standardized treatment scheme is formed in combination with strict patient screening standards, a quality control system and ethical guarantee, the technical problems that existing eCRSwNP postoperative treatment is lack of targeted immunoregulation means and the recurrence rate is high are solved, and the therapeutic effect of the eCRSwNP postoperative treatment is improved. And a new clinical path is provided for traditional Chinese medicine intervention on refractory nasosinusitis diseases.

In one embodiment, the invention relates to systems, methods, and apparatus relating to the detection of a neuropathy such as a periopertive neuropathy. In one embodiment, a wristband comprising a plurality of anodes and cathodes is used. The wristband can be a component in a electrode array that includes a plurality of reference or recording electrodes. The electrode array can be configured to stimulate and collect responsive signals from an ulnar, a median, radial and posterior tibial nerve. The simulation and signal collection can be performed on a continuous basis for time periods of interest such as a given perioperative time period using a monitoring device.

The invention provides a traditional Chinese medicine composition used in the perioperative period of fundus surgery and a preparation method and application thereof, and belongs to the technical field of traditional Chinese medicine. The traditional Chinese medicine composition for the perioperative period of the fundus surgery is prepared from the following components in parts by weight: 9 to 15 parts of radix astragali seu hedysari, 6 to 12 parts of radix angelicae sinensis, 6 to 12 parts of radix rehmanniae, 6 to 12 parts of herba ecliptae, 3 to 9 parts of radix paeoniae rubra, 3 to 9 parts of rhizoma atractylodis macrocephalae, 6 to 12 parts of semen plantaginis, 1 to 6 parts of radix saposhnikoviae and 1 to 6 parts of ramulus cinnamomi. By adopting the traditional Chinese medicine composition, the postoperative vision of a patient subjected to fundus surgery can be effectively improved, the retina sensitivity is improved, and the visual function of a macular region is improved; absorption of fundus hemorrhage is effectively promoted, the central fovea thickness of a macular region is reduced, and absorption of postoperative macular edema is promoted; the traditional Chinese medicine composition can improve eye local and whole body traditional Chinese medicine syndromes, and is safe in clinical medication.

The invention belongs to the field of medicines, and discloses application of macastine B in preparation of anti-inflammatory, repair-promoting and relapse and metastasis-resisting medicines after liver cancer operation. The invention discloses an application of macastine B in preparation of a medicine for recovering a liver cancer patient after partial liver resection. The macaxantin B can promote liver function recovery, reduce the level of inflammatory factors of liver tissues and serum species, and reduce the tumor recurrence rate and the tumor visceral metastasis rate after tumor excision after an orthotopic liver cancer surgical operation, and compared with simultaneous administration of a liver protection drug and an anti-tumor drug, the macaxantin B has the advantages that the liver metabolism burden is reduced, and the curative effect is improved. And a novel drug treatment choice is provided for disease management of a liver cancer patient in a perioperative period. The invention discloses a medicine for promoting postoperative recovery of an orthotopic liver cancer surgical operation. The medicine comprises an effective therapeutic dose of macastine B and pharmaceutically acceptable auxiliary materials.

The invention discloses a body temperature adjusting system based on digital twinning and an adjusting method thereof, and relates to the technical field of body temperature management. According to the system, multi-dimensional physiological data of a patient, operation related data, operating room environment data and heat preservation equipment operation state data are obtained in real time through a data acquisition module, a patient body temperature digital twin model is constructed, and the model is dynamically updated and calibrated in the operation process; the body temperature change trend of the patient is predicted based on the digital twinborn model, an individualized body temperature adjusting strategy is generated before the body temperature deviates from a preset safety threshold value, a plurality of devices such as body surface heating, infusion heating, flushing fluid heating and environment adjusting are coordinated through the cooperative control module for cooperative execution, and accurate regulation and control of the body temperature are achieved. Real-time mapping, predictive adjustment and closed-loop optimization of the body temperature of the patient can be achieved, the risk of low body temperature and excessive heat preservation in the perioperative period is effectively reduced, the safety and the intelligent level of body temperature management are improved, and good clinical application value is achieved.

Systems, devices and methods are disclosed for the treatment of injured peripheral nerves or other tissue using electrical stimulation. The systems can be used either in intraoperative or peri-operative settings and incorporate the use of either a plurality of monopolar electrodes with a patch used as return or a plurality of bipolar electrodes such as a cuff. The systems can provide hands-free delivery of electrical stimulation therapy over a predetermined set of time.

The application discloses an anesthesia hypotension prediction method and system based on FMD data mining of a grey system, and belongs to the field of electric digital data processing. The application carries out preprocessing, interval grey number conversion and dimension standardization processing on brachial artery blood flow mediated vasodilation function data and clinical baseline data, generates a standardized interval grey number feature set, completes feature screening and coupling relationship mining through grey nonlinear correlation analysis, completes risk simulation calculation through a non-equidistant metabolism GM(1, N) power model, and divides and outputs a hypotension risk level after anesthesia induction relying on grey clustering evaluation. The system is electrically connected by multiple functional modules in sequence, and can realize missing data completion, model precision verification and feature contribution output. The application is suitable for a poor information small sample scene, reduces the interference of data uncertainty and dimension difference, improves the reliability and interpretability of risk prediction, and provides evaluation support for perioperative hemodynamic management.

Administration of receptor antagonists, inverse agonists, allosteric modulators or signaling specific inhibitors of cannabinoid receptor 1 (CB1) prevents and treats conditions and complications in patients, including conditions and complications associated with treatment of various cardiovascular diseases. Patients with the history of use of cannabis have the risk of severe complications. Administration of inhibitors or modulators of CB1 during perioperative, intraoperative and / or postoperative periods results in an improvement in the outcome of a patient for methods involving the treatment of cardiovascular diseases, such as percutaneous coronary intervention, coronary artery bypass surgery or stenting.

The embodiment of the invention provides a hypothermia risk prediction method, system and device, a storage medium and a program product. According to the scheme provided by the embodiment of the invention, the risk prediction model is utilized to determine the hypothermia occurrence probability of the patient in the perioperative period on the basis of the basic information, and the hypothermia occurrence probability of the patient is displayed and / or broadcasted through the main control equipment, so that a reference can be provided for medical staff in advance, the medical staff can make certain preventive preparations in advance, and the medical staff experience is improved. The occurrence probability of low body temperature is reduced, and the body temperature of the patient in the perioperative period can be managed more accurately. In the embodiment of the invention, the main control equipment can also determine at least one target heating device needing to work and the working parameters corresponding to the at least one target heating device according to the low body temperature occurrence probability, so that the main control equipment can automatically control the at least one target heating device to work; and the body temperature of the patient is kept in a relatively safe range.

Herein is provided a method of reversing ticagrelor-enhanced bleeding in a patient comprising administering to said patient during surgery, in a perioperative setting, or during an invasive procedure an antibody or antigen-binding fragment thereof that binds to ticagrelor. Also provided is a method of reversing ticagrelor-enhanced bleeding in a patient comprising administering an antibody or antigen-binding fragment thereof that binds to ticagrelor, wherein the patient is elderly, has underlying cardiac or pulmonary or metabolic disease, optionally wherein the patient has a minimum percent inhibition of P2Y 12 reaction units (PRU) over 4 hours after starting administration of the antibody or antigen-binding fragment thereof that is less than the percent inhibition of PRU before administration.

The invention discloses an intelligent pre-warning system for a perioperative period of a high-risk surgical patient, and belongs to the technical field of medical informatization. Comprising an information generation module used for generating initial early warning information; the information pushing module is used for providing priority adjustment feedback options during terminal display; the feedback receiving module is used for receiving priority adjustment feedback; the data capturing module is used for capturing a data context related to the early warning information; the score calculation module is used for generating dynamic priority correction rules and calculating a confidence score for each rule; the priority adjusting module is used for adjusting the priority of the new early warning information; and the iterative optimization module is used for carrying out iterative optimization on the dynamic priority correction rule. According to the invention, by constructing a dynamic priority correction mechanism based on clinical feedback, the technical effect of accurately matching the early warning priority with the clinical actual demand is achieved, and the problem of false alarm and missing alarm caused by rigid priority setting of a traditional early warning system is solved.

The invention discloses a psychological pre-rehabilitation and nursing intervention system for a perioperative period. The system comprises the following modules: a terminal module; the data acquisition and fusion module is used for collecting a subjective scale, behavior data, physiological data and medical data; the evaluation and layering engine is used for carrying out evaluation and layering by adopting a multi-modal fusion interpretable machine learning algorithm based on the data of the data acquisition and fusion module, and outputting interpretable feature importance and preoperative time axis sensitivity; the intervention prescription generator is used for forming and outputting an intervention packet based on the evaluation and layering engine output result; the intervention execution and adaptation module can adapt to schedules and has a reminding function; the risk detection and early warning module can prompt risks based on rules or models; and the result evaluation and report module can automatically generate a report and examine the indexes. The method is used for solving the problems of lack of closed loop, weak individualization and difficulty in quantification, and the preoperative psychological preparation and postoperative recovery quality are improved.

The application provides a method for automatic generation of perioperative patient consultation opinions, comprising: extracting key patient indicators from electronic medical records using natural language processing technology; cleaning and standardizing the key patient indicators to ensure data format consistency and obtaining preprocessed indicator data; mapping the preprocessed indicator data to the parameter format of a standardized risk assessment scale to obtain structured patient data; calling multiple clinically verified risk assessment scales to evaluate the structured patient data and generating a comprehensive risk assessment score based on the evaluation results; classifying the comprehensive risk of the patient according to the comprehensive risk assessment score to obtain a comprehensive risk assessment result; and converting the comprehensive risk assessment result into consultation opinion text using a generative large language model. The application significantly improves the efficiency and accuracy of perioperative patient risk assessment and consultation opinion generation by combining natural language processing, machine learning and generative large language models.

This invention discloses a method, device, and electronic device for perioperative medication management. The method includes: acquiring user time window data, surgery type data, surgical medication data, user basic data, and user long-term medication data; performing multidimensional cross-analysis on the surgery type data, surgical medication data, user basic data, and user long-term medication data to identify potential drug interactions and perioperative risk points; performing dynamic time-series analysis on potential drug interactions and perioperative risk points based on time window data to obtain medication adjustment suggestions for the user in any target time window; and generating targeted medication adjustment suggestions for any target time window. This achieves personalized and dynamic management of perioperative medication, effectively reducing the risk of drug interactions and improving the safety and rationality of perioperative medication.

The utility model relates to a perioperative aromatherapy placing device which comprises an aromatherapy box and a fixing assembly which are detachably connected, the aromatherapy box is provided with a placing opening so that an aromatherapy plate can be detachably inserted into the aromatherapy box, and volatilization openings are formed in the top face and the bottom edge of the aromatherapy box. A disinfection hole communicated with the inner space and the outer space of the aromatherapy box is formed in the side face of the aromatherapy box in the first direction X; the fixing assembly comprises two clamping plates capable of being opened and closed, curved surface clamps are arranged on the opposite sides of the two clamping plates, the front ends of the clamping plates can be clamped on a supporting structure with the flat surface, and the curved surface clamps arranged at the rear ends of the clamping plates can be clamped on a supporting structure with the bent surface. The device disclosed by the utility model adopts the replaceable disposable aromatherapy plate and is matched with the design of the volatilization opening, so that the aromatherapy substance is fully and uniformly diffused, and the aroma intervention effect is obviously enhanced. In addition, the fixing assembly enables the device to be placed at different parts of a patient in the perioperative period according to actual needs, and the convenience of the device is improved.