5622 results about "Nursing" patented technology

Devices, systems, methods, and software for providing remote medical diagnosis and therapy to a subject comprising: a module for conducting telecommunications with a telemedicalist; a module for applying a diagnostic or a therapeutic analysis; an apparatus for dispensing one or more medical items from an inventory of medical items, the inventory of medical items risk profiled to a subject, a population, a venue, or a situation; and optionally, a biosensor apparatus.

The invention relates to a smart hospital collaborative diagnosis and treatment management method and system, and the method comprises the steps: receiving the appointment registration information of a patient, building a data mapping relation with a hospital information system based on the appointment registration information, and generating a corresponding treatment identifier; after the patient arrives at the hospital, information of the sign-in patient is collected, a sign-in sequence is established, and according to appointment registration information and diagnosis and treatment service data parameters corresponding to the sign-in patient, a treatment serial number is dynamically distributed and a waiting prompt is pushed; after the doctor receives the diagnosis, generating an examination item list based on the preliminary diagnosis information input by the doctor, obtaining the real-time state and queuing data of equipment required by each examination in the examination item list, constructing an execution time window of examination items, generating an optimal examination sequence, and pushing an examination guide path to the patient terminal; and after the patient finishes seeing a doctor, generating a personalized propaganda and education task list according to the diagnosis and treatment information of each stage, and pushing the personalized propaganda and education task list to the patient terminal. The method has the effect of improving the hospital operation efficiency.

The invention relates to the technical field of image segmentation, in particular to an intensive care unit video image processing method based on image semantic segmentation, which comprises the following steps of: acquiring a video image through monitoring camera shooting, dividing a semantic region, calculating a pixel displacement direction of each part, identifying an abnormal track, erasing interference, recombining a boundary contour, and comparing shape change. And constructing a trend and re-drawing a structure, evaluating stability in combination with directions, speeds and amplitudes, screening and correcting inconsistent labels, and outputting an index result. According to the method, track features are constructed by introducing pixel direction coding, a deviation region is identified and interference is eliminated in combination with a direction change trend, an edge structure is reconstructed by using a boundary connection sequence and curve fitting, contour division is optimized through deformation direction consistency, and labels are corrected by synthesizing direction change and boundary speed. Dynamic tracking and accurate labeling of the patient state are achieved, the abnormal action recognition efficiency and the label updating accuracy are improved, and the time sequence integrity and the space expression ability of image data are enhanced.

A hospital quality abstraction is automatically generated from health records. In some examples, a large language model (LLM) is queried with prompts selected to elicit data to generate a hospital quality abstraction report. The LLM outputs are combined with patient data from health records to improve the accuracy of the responses to the LLM queries. These methods and systems may improve the operation of the LLM, which is deeply needed particularly for healthcare.

According to the clinical nutrition intelligent management system and method disclosed by the invention, nutrition status evaluation is carried out by applying a nutrition comprehensive evaluation formula, the standardization and objectivity of evaluation are greatly improved, the formula quantifies multiple key factors and gives weights, different evaluators carry out calculation based on the same information and formula, and the consistency of evaluation results is ensured; besides, the comprehensive nutrition evaluation formula comprehensively considers the body mass index, the disease-related nutrition influence coefficient, the nutrition-related index comprehensive score, the diet health degree score and other aspects adjusted by age and gender, accurately reflects the actual nutrition condition of the patient, and solves the problem of insufficient accuracy of traditional evaluation. And the nutrition plan generation module can customize nutrition plans for patients according to the nutrition comprehensive evaluation indexes in combination with a preset rule base, so that individual requirements of different patients are fully met, and a scientific, accurate and personalized solution is provided for clinical nutrition management.

The invention discloses a hospital emergency triage method in combination with medical history data, and belongs to the technical field of medical triage, and the method specifically comprises the steps: obtaining the actual illness state and historical treatment data of a current patient to form a pre-examination data set, inputting an illness state prediction model to obtain a pathological entity and the confidence probability thereof, and preferably evaluating a dominant illness in combination with a danger coefficient; obtaining a target department corresponding to the dominant disease, calculating the coverage overlap ratio of the non-dominant disease and the treatment capacity of the target department, if the overlap ratio is smaller than or equal to a preset threshold value, obtaining the department corresponding to the non-dominant disease, marking the department as a candidate department, and extracting the treatment data of the department to calculate a waiting pressure coefficient; calling cross-department cooperation data to calculate candidate department response efficiency coefficients; the comprehensive turnover efficiency scores corresponding to the candidate departments are calculated, and the candidate department with the highest score is selected as the first diagnosis department, so that the patient turnover link minimization and the medical resource utilization optimization are realized on the premise that the dominant threat is preferentially treated, and the emergency treatment efficiency is improved.

System and methods for alerting a healthcare provider to prescribed treatments having reduced or no effectiveness due to genetic composition is provided. A database containing treatments known to have reduced or no efficacy in persons having particular genetic markers is queried to determine whether any treatments prescribed by, or likely to be prescribed by, a healthcare provider to the patient are known to have reduced or no efficacy in persons having the same certain genetic markers as the patient. An alert indicating such information is displayed at a healthcare provider system.

The invention provides a rare disease risk screening model training system and method, a screening system and a medium, and belongs to the technical field of medical information. According to the invention, an innovative three-stage architecture design is adopted, unified identification of all rare disease types is realized, and the blank in the prior art is filled. When only basic clinical information exists, a rare disease high-risk patient can be accurately identified, the diagnosis time is remarkably shortened, and a treatment precedent is won for the patient. The system adopts a small parameter quantity model integration strategy, reduces hardware requirements and maintenance cost, can be widely deployed in basic medical institutions, and promotes balanced distribution of medical resources. Through the technical measures of nested cross validation, algorithm comparison, threshold optimization and the like, the system has high accuracy and reliability, and the credibility of doctors to the system is enhanced.

The invention discloses a children obesity early warning method and system based on obesity risk factor analysis, and the method comprises the steps: carrying out the feature screening of collected children multi-dimensional health related data containing parental information, birth history and lifestyle, and recognizing the important risk factors and weights of children obesity; important risk factors are supplemented through literature review; the method comprises the following steps: formulating scale questions including parental information, birth history and lifestyle based on important risk factors and weights in combination with clinical expert opinions, assigning scores to the scale questions, dividing according to a scale score result to form children obesity risk prediction levels, and providing personalized health management schemes for subjects with different risk levels. The method is low in cost, easy to implement, high in compliance and based on non-invasive characteristics, and is particularly suitable for early obesity screening and early warning of 3-6-year-old children.

The invention provides an emergency broadcast playing method and system for disasters in an outdoor scene, and relates to the technical field of emergency broadcasts, cameras in a region are adopted to monitor the evacuation state of personnel in the outdoor scene in real time, and an emergency broadcast system and a rescue system are triggered through the evacuation state to perform linkage, so that bidirectional information transmission is realized; and the priority of the broadcast content played by the emergency broadcast is adjusted according to different instruction information in bidirectional information transmission, so that the broadcast content has pertinence, and rescue workers can receive key instructions.

The invention belongs to the technical field of medical treatment, and discloses a wearable intelligent method and device for monitoring the mental health of community old people, and the method comprises the steps: collecting the physiological indexes of the community old people in real time through an intelligent chest card, and achieving the dynamic collection of multi-dimensional data; data are transmitted to the cloud platform through Bluetooth or Wi-Fi, the equipment supports a data caching mechanism, and key data are temporarily stored when connection is abnormal; a dynamic evaluation model is constructed based on AI learning, and a multi-factor decision tree model and a natural language processing NLP algorithm are combined; a group psychological health trend and an environment risk thermodynamic diagram are presented in real time through a chest card APP, main factors influencing psychological health of the old are analyzed, and community managers are assisted in making an intervention plan. By making and applying the community old people mental health monitoring and early warning model, a unified mental health assessment system is provided for old people in different states, the applicability, universality and compliance of mental assessment are improved, home rehabilitation is achieved, and the overall medical cost is reduced.

The invention discloses a diabetic health data management method and system, and relates to the technical field of data management. A diabetic health data management system comprises a health data monitoring module and a health data management module. According to the method, blood glucose fluctuation is considered, multi-dimensional signals such as a molecular marker, a sleep cycle and bioelectricity feedback are introduced, and a patient molecular physiological interaction index is established through mapping of a unified time axis and correction of a causal inference model; misjudgment caused by accidental fluctuation is effectively reduced by capturing cross-channel collaborative abnormity; according to the method, the patient individual metabolism adaptation domain and the similar patient metabolism adaptation domain are constructed, a double-gating judgment mode is adopted, excessive early warning of health data management caused by a single threshold standard is avoided, and personalized applicability under patient individual difference is guaranteed.

The invention relates to the technical field of personalized health follow-up visit, in particular to a personalized health follow-up visit method, system and device based on a health portrait and a large language model and a medium, and the method comprises the steps: collecting multi-dimensional health data of a user, carrying out the standardization processing and feature extraction of the health data, and generating a plurality of user feature tags; based on the user feature tag, constructing a dynamically updated user health portrait; inputting the user health portrait into a service classification model, and determining a target follow-up visit service line and a follow-up visit mode corresponding to the current user; on the basis of the target follow-up visit service line, the follow-up visit mode and the user health portrait, a prompt word is constructed and input to a large language model, so that personalized follow-up visit content is generated; and based on the follow-up visit content, executing a follow-up visit task on the user through the intelligent call-out system. The method has the beneficial effects that the follow-up visit efficiency and coverage are remarkably improved, and refined, dynamic and humanized health management of each user is really realized.

The invention discloses a life health management method and system for an HR3C material, and relates to the technical field of data processing, and the method comprises the steps: collecting the operation condition data of the HR3C material in a service state, carrying out the creep, fatigue and creep-fatigue interaction performance testing of a welding seam and a heat affected zone, and obtaining the real-time service state data; combining a high-temperature accelerated aging test result to construct a structure-performance coupling model; and performing microscopic damage calculation and residual life prediction based on the organization-performance coupling model and the real-time service state data, and generating a health assessment index to execute health management. The technical problems that in the prior art, damage evolution of the HR3C material under the complex high-temperature working condition cannot be accurately evaluated in real time, and the service life prediction and health management precision is insufficient are solved, and the purposes that through performance coupling analysis and aging process feedback under the multiple working conditions, microcosmic damage is accurately evaluated, and the remaining service life is dynamically predicted are achieved. And the health management precision is improved.

The invention discloses a server health examination method and device, equipment and a medium. The method comprises the following steps: acquiring hardware layer data, system layer data, application layer data and physical environment layer data of a target server through a data acquisition component; determining a current value and a predicted change range of each health index regularly, and determining a current health level and a predicted health level range of the target server according to the current value and the predicted change range of each health index; when the current health level belongs to an abnormal level, executing a self-healing operation corresponding to the current health level; and when the predicted health level range contains an abnormal level, executing an early warning operation. According to the embodiment of the invention, real-time quantitative evaluation, abnormity prediction, early warning and automatic repair of the health state of the server can be realized, health evaluation and health pre-judgment can be comprehensively and accurately carried out on the server, and the operation stability of the server is improved.

The utility model discloses an automatic dosing and filtering device, and relates to the technical field of water treatment equipment. The tablet collecting box is located in the tank body and provided with a net-shaped structure, and the tablet collecting box is connected with a buoyancy body so that the tablet collecting box can be in a suspended state when immersed in water; and the medicine feeding port is positioned on the upper side of the tank body and can be closed. According to the utility model, the tablet collecting box is positioned inside the tank body, tablets fed from the medicine feeding port can fall into the tablet collecting box, and the tablet collecting box is provided with a net-shaped structure, so that water can conveniently flow into the tablet collecting box to be in contact with the tablets and dissolve the tablets, and the tablets are prevented from falling to the bottom of the tank body.

The invention belongs to the technical field of computer vision, discloses a sign language-first aid medical term real-time translation system and method for a pre-hospital first aid scene, belongs to the technical field of computer vision and medical information crossing, and aims to solve the problem that a deaf-mute patient has communication barriers with medical care during pre-hospital first aid. The problems that general sign language translation deviates from medical terms, depends on a network and does not have two-way inquiry are solved; the system is deployed on a Pad terminal with a camera, runs locally and comprises a sign language acquisition unit, a feature recognition unit, a first-aid medical sign language library unit, a term matching unit and a bidirectional output unit. Collecting a sign language video of a patient, extracting hand track and posture features, matching terms in a library, and feeding back to medical care in the form of characters and voice; the system realizes real-time inter-translation, does not depend on the network, adapts to the emergency inquiry process, ensures the accuracy of illness state information, and effectively improves the pre-hospital emergency communication efficiency and the disposal accuracy.

The invention belongs to the technical field of medical health management, and particularly relates to an AI personalized health education system for elderly patients with head and neck cancer, which comprises a content generation and management module, a personalized push engine, an interaction and artificial triage module, an elderly friendly interaction module and a data monitoring and safety module, by adopting an AI + manual hierarchical response mechanism and combining elderly friendly interactive design and operation training support, the participation obstacles that elderly patients are inconvenient to move and poor in informatization ability are broken through, and the intervention compliance and sustainability are improved; according to the intervention method, strict double-group random control test design is adopted, multi-dimensional and multi-time-point effect evaluation is combined with a scientific statistical analysis method, the improvement effect of AI-assisted health education on cancer recurrence, fear, psychological state and life quality of a patient can be accurately verified, and a solid evidence-based basis is provided for clinical popularization.

The invention relates to an intelligent hospital guide method and system, an intelligent terminal and a storage medium, and relates to the field of intelligent medical treatment, and the method comprises the steps: collecting the case information of a patient, the case information comprising medical history information and symptom description; performing data processing on the case information by using an illness state analysis model to obtain illness state characteristics of the patient; potential diseases of the patient are retrieved in a disease database according to the illness state characteristics; determining a department and a hanging suggestion corresponding to the potential disease; screening out recommended doctors from a doctor qualification database according to the department; and pushing the patient hanging suggestion and registration information corresponding to the recommended doctor to a user terminal of the patient. The method has the effect of improving the accuracy and efficiency of medical triage.

The invention provides a face-based health analysis method and program product, and the method comprises the steps: obtaining the current question data of a user; if it is determined that the user has a health analysis demand based on the current question data, then generating a current health portrait based on the physiological state data and the face image of the user and the dialogue content between the user and the multi-modal large model; and finally obtaining at least one previous historical health portrait of the user, and generating a health prompt based on the at least one historical health portrait and the current health portrait. Compared with the problem of insufficient accuracy of single facial image analysis in the prior art, the method has the advantages that the health prompt is generated by combining at least one historical health portrait on the basis of obtaining the current health portrait by extending the physiological state data, the facial image and the dialogue content, so that the health prompt is generated by taking the historical data as the basis; and the suggestion accuracy is ensured.

A method of displaying an operational parameter of a surgical system is disclosed. The method includes receiving, by a cloud computing system of the surgical system, first usage data, from a first subset of surgical hubs of the surgical system; receiving, by the cloud computing system, second usage data, from a second subset of surgical hubs of the surgical system; analyzing, by the cloud computing system, the first and the second usage data to correlate the first and the second usage data with surgical outcome data; determining, by the cloud computing system, based on the correlation, a recommended medical resource usage configuration; and displaying, on respective displays on the first and the second subset of surgical hubs, indications of the recommended medical resource usage configuration.

A method for enhancing health quality and performance is disclosed. The method involves providing multiple sets of nasal dilators, each set having a distinct configuration. The dilator set being used is then identified. The health quality / performance of the user using the identified set of nasal dilators is then monitored using a health quality / performance monitoring and feedback system. Additionally, the health quality / performance monitoring and feedback system provides feedback on the user's health quality / performance based on the identified set of nasal dilators. This method allows for personalized and targeted improvement of health quality and performance by optimizing the use of nasal dilators.

The invention discloses a Chinese patent medicine prescription intelligent assistance method and system, and the method comprises the steps: determining a possible traditional Chinese medicine diagnosis range through disease information / patient information, carrying out the further analysis, obtaining the disease feature information / patient feature information which needs to be obtained for determining the traditional Chinese medicine diagnosis, and determining the traditional Chinese medicine diagnosis according to the related information. The Chinese patent medicine prescription intelligent auxiliary system comprises a demand acquisition module, a feature information analysis module, an information acquisition module and a traditional Chinese medicine diagnosis analysis module. According to the Chinese patent medicine prescription intelligent assistance method and system, doctors and patients can be helped to accurately select Chinese patent medicines, and damage caused by misuse of the medicines is prevented.

The invention relates to the cross technical field of medical education and mixed reality technology, in particular to a traditional Chinese medicine meridian point visualization system based on mixed reality technology, which comprises a data fusion and personalized calibration module, a virtual-real fusion interaction module, an interaction teaching module, an intelligent evaluation module and a meridian qi and blood simulation module. By fusing medical image data, depth sensing data and a traditional Chinese medicine acupoint selection rule, a personalized three-dimensional human body model is constructed, and acupoints are accurately calibrated; real-time registration and shielding processing of the virtual model and a real scene are achieved through mixed reality equipment; various natural interaction modes such as gestures, voices and sight lines are supported, and an integrated function of learning, training and assessment is provided; and the meridian qi-blood running state can be dynamically simulated based on the midnight-noon ebb-flow theory. The system has the advantages that the problems that traditional Chinese medicine teaching is poor in intuition and interactivity, cannot be personalized, is inconvenient to examine and the like are solved, and immersive, interactive and intelligent teaching of traditional Chinese medicine meridian point knowledge is achieved.

This disclosure is directed to systems and techniques for detecting change in patient health based upon peak and non-peak patient activity data. In some examples, the peak and non-peak patient activity data correspond to one or more peak (time) periods and the one or more non-peak periods, respectively, where at least one peak period and at least one non-peak period corresponds a highest activity level and a lowest activity level, respectively, for a single day. If a change in patient health is detected, the techniques described herein may direct a medical device to generate for display output indicating the detection of the change in patient health.

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The invention discloses a multi-hospital first-aid collaborative strategy recommendation method and system, and relates to the technical field of pre-hospital first-aid collaboration.The method comprises the steps that spare medical resource information is acquired in real time, and an initial collaborative strategy set is acquired based on the spare medical resource information according to department and hospital positions and basic first-aid configuration; acquiring historical medical resource use information, and constructing a medical resource candidate influence relationship based on the medical resource use frequency and the importance degree according to the historical medical resource use information; and responding to the first-aid information, matching an initial collaborative strategy according to the first-aid information, generating an auxiliary collaborative strategy according to the medical resource candidate influence relationship, and executing collaborative strategy recommendation according to the initial collaborative strategy and the auxiliary collaborative strategy. The method has the beneficial effects that the medical resource scheduling efficiency and the anti-risk capability in the emergency treatment process are improved.

The invention discloses a bolting machine damping device health state diagnosis method and system, and relates to the technical field of bolting machine component testing, and the method comprises the steps: building a multi-source original data set after the operation state of a bolting machine is recognized; extracting steady-state baseline features, applying multi-frequency disturbance, and collecting a mapped forced response signal; performing multi-scale demodulation on the forced response signal to generate an initial feature set; executing feature reweighting under baseline correction, and establishing a degradation mode feature component; and inputting the degradation mode characteristic components into a time sequence causal graph network, and outputting the current health state score and the contribution weight of each degradation mode. The technical problems that in the prior art, health state diagnosis of the bolting machine damping device depends on a single signal, a degradation mode is difficult to accurately recognize, and consequently health management lags and is insufficient in accuracy are solved, and the purposes of accurately diagnosing the health state of the damping device and improving the reliability of the bolting machine damping device are achieved. And the accuracy and timeliness of health management are improved.

Provided is a system for standardizing health data for use by machine-learned models in responding to user queries. A computing system obtains health data for a user from one or more health data sources. The computing system generates standardized health data, wherein the standardized health data is generated by converting the health data into a standardized format usable by a machine-learned model. The computing system receives a user health query from the user. The computing system generates a model input for the machine-learned model comprising the user health query and the standardized health data. The computing system provides the model input to the machine-learned model. The computing system receives a model output from the machine-learned model. The computing system transmits the model output for display to the user.