6224 results about "Nursing" patented technology

A method and a Large Language Model (LLM) evaluation system provides an end-to-end evaluation of LLM, which includes evaluating both input prompts and output prompt responses, wherein the evaluation includes assessing a plurality of input and output characteristics that encompasses both quality and quantity. Each of the plurality of input characteristics are assigned with a corresponding normalized score by employing one or more statistical techniques to derive a composite health score for the input prompts. Evaluation further comprises evaluating output prompt responses in both absence and presence of the ground truth. Upon evaluating both input prompts and output prompt responses, a final aggregated health score for the LLM is computed by a scorer module employing threshold based statistical techniques that considers input prompt health and output prompt response health, wherein the aggregated health score is generated based on the granular scores of each characteristic.

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 discloses a multidisciplinary combined diagnosis and treatment method and system, relates to the technical field of intelligent medical systems, and solves the problems that traditional manual consultation is low in efficiency and is greatly interfered by human factors, simple system recommendation is inaccurate, and diagnosis and treatment requirements of patients are difficult to meet. The method comprises the steps of generating a consultation scheme based on a preset matching degree standard, an illness condition and a diagnosis and treatment specification, triggering a payment process after system compliance verification, and locking consultation resources after payment succeeds; according to the illness state emergency degree of the patient, expert scheduling information and hospital resource occupation condition, intelligent scheduling is carried out to generate a consultation time arrangement, and meanwhile, consultation invitation and detailed information are sent to related experts; and after the consultation is finished, the system arranges text records, fuses expert opinions, generates a structured consultation report and pushes the structured consultation report to a patient end. The method has the advantages that intelligent management of multidisciplinary joint diagnosis and treatment is achieved, medical resource configuration is optimized, diagnosis and treatment efficiency and accuracy are improved, and medical experience of patients is improved.

The invention provides a home scene control method and device and a home equipment central control system. The method comprises the following steps: acquiring user data, environment data and home scene data of a target area; determining the target home scene as a to-be-triggered home scene under the condition that the environment data meets the triggering condition of the target home scene; under the condition that a plurality of to-be-triggered home scenes exist and the equipment control instructions of at least two to-be-triggered home scenes conflict, determining the plurality of to-be-triggered home scenes with the equipment control instruction conflicts as a conflicting home scene group, and determining priorities of the plurality of to-be-triggered home scenes of the conflicting home scene group according to the user data, and determining the to-be-triggered home scene with the highest priority in the conflicting home scene group and the to-be-triggered home scenes except the conflicting home scene group as the triggered home scenes, and sending the equipment control instructions of all the triggered home scenes to operate the corresponding triggered home scenes, thereby solving the problem of multi-home scene loading instruction conflicts.

The invention discloses a whole course follow-up visit management system for gynaecology and obstetrics patients, and belongs to the technical field of follow-up visit management. Comprising a patient full-period health archive management module, an intelligent personalized follow-up visit planning module, a dynamic risk assessment module, a health monitoring and early warning module, a personalized health guidance module, a remote intelligent monitoring emergency intervention module and a doctor-patient interaction remote cooperation module. The non-tampering and traceability of data are realized, unstructured data are converted into structured fields through natural language processing, the data utilization rate is improved, the block chain is encrypted through a national cryptographic algorithm, IPFS distributed storage and intelligent contract authority management are realized, a patient can authorize a medical institution to access data through a digital identity label, cross-institution seamless circulation is realized, and the medical institution can access to the medical institution. The repeated examination rate is obviously reduced, and the medical efficiency and the data security are improved.

The invention relates to the field of health data processing, and particularly discloses a virtual reality-driven children tic disorder multi-modal data evaluation and intervention system, which comprises a data acquisition and evaluation module, a data processing module, a data processing module and a data processing module, a professional evaluation scale and an algorithm are adopted to comprehensively evaluate the severity, psychological tolerance and social adaptability of the tourette syndrome of children to obtain an evaluation result; a scene generation and sorting module which is connected with the data acquisition and evaluation module, generates diversified virtual reality scenes according to the evaluation result, carries out the intelligent sorting of the scenes according to a difficulty gradual increase principle, and builds a high-authenticity scene through a high-precision modeling technology; and the interaction control and behavior guide module is used for realizing interaction between the child and the virtual reality scene. By adopting the technical scheme of the invention, personalized evaluation and immersive scene experience can be realized, and intelligent intervention and feedback can be realized.

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.

A system for generating a video based on historical visits to a website is disclosed. The system determines that a first user wants to perform a first task on the website. In response, the system detects a navigation path that is being traversed thought the website and associates the navigation path with the first task. The system generates a first video that comprises one or more video scenes of visited sections. The system detects that a second user wants to perform the first task on the website. In response, the system fetches a code portion associated with the sections, generates one or more video scenes based on the fetched code portions, and generates a second video that comprises the one or more video scenes. The system displays the generated video on the website, where the second video shows the navigation path to perform the first task on the website.

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.

A nursing pillow has pillow cover generally defining a discontinuous annular shape with a first arm and a second arm each extending from a base portion around a central open region to a respective arm end. The pillow cover defines an interior volume. The pillow cover defines an opening along an outer perimeter with access into the pillow cover. In some embodiments, the pillow cover has an interior pocket configured to store the cover-up. A fastener along the opening is configured to selectively maintain the opening in a closed state. A cover-up is attached to the inside of the pillow cover along at least part of a bottom end, where the cover-up is sized and configured to be stored in the pillow cover and deployable from the first opening for use.

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 relates to an intelligent department hospital guide method and device and a storage medium, and the method comprises the steps: recognizing an obtained inquiry text of a user, and obtaining a medical entity which comprises at least any one of symptoms, body parts, diseases and drugs; a medical knowledge graph is constructed according to the medical entities, structured storage and query are carried out by using a graph database, and the medical knowledge graph comprises symptom nodes and department nodes; determining semantic association strength between the symptom node and the department node according to the medical knowledge graph, and generating a department recommendation path according to the semantic association strength; and according to the department recommendation path and the historical doctor seeing data, generating a department recommendation result, the department recommendation result comprising a hierarchical relationship of multiple levels of departments. Composite symptoms and fuzzy expression can be effectively processed, a transparent decision basis is provided while recommendation accuracy is guaranteed, the misdiagnosis rate is remarkably reduced, and the medical resource configuration efficiency is optimized.

A computer-implemented method for creating medical reports, in particular physician's letters, comprises the acquisition of patient information from various sources of electronic health records, with the latter being available in natural-language sampling points. Medical units are determined by computer-aided pattern recognition and classified according to their event type. Event groups that have temporal, thematic or treatment-related relationships are formed. Relationship information is derived and stored in a structured data representation. In addition, these data are enriched with an external medical knowledge base and converted into a format that can be processed by a generative language model in order to generate the continuous text for the medical report.

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.

A system and a method for automatically assisting physicians during patient encounters includes transcribing and diarizing physician-patient interactions, extracting clinical concepts, and combining data with patient history data to provide suggestions to the physicians. A speech and gesture recognition module captures audio from patient-doctor interactions and transcribes the audio into text in real-time. A natural language processing module diarizes the transcribed text to attribute speech. A clinical concept extraction module identifies and extracts clinical concepts from transcription. A clinical recommendation module integrates real-time data with historical patient records and analyzes the combined data set to generate evidence-based suggestions to the physician. A physician's own historical data is validated to generate a unique profile for each physician. Interactions with the physician are analyzed to understand decision-making patterns. The physician's profile is updated and future physician decisions are forecast based on past behavior.

The present invention provides a secure system and method for sharing medical information among authorized medical professionals. The system ensures that only verified medical professionals can access the platform by requiring a medical license and utilizing facial recognition technology for authentication. The platform includes a content management component for uploading and accessing medical information, a digital rights manager to prevent unauthorized copying or removal of content, and a messaging system for secure communication between users. The system is designed to be HIPAA-compliant and includes features such as patient consent for video content, native voice triggers for camera movements during surgical procedures, and a customizable chat system for enhanced user experience. The invention aims to streamline the verification process, enhance security, and promote patient safety while facilitating the sharing of medical knowledge and techniques.

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.

Embodiments of the present disclosure provide a context based health visualization system and method for a computing environment that indicates context-based health information for the computing resources of a computing environment. According to one embodiment, an Information Handling System (IHS) includes computer-executable instructions to identify a maintenance task that needs to be performed on a computing resource, classify the maintenance task according to one of a plurality of health contexts, and generate, using information associated with the maintenance task, a health context score for the one health context. The maintenance task may be one that impacts an overall health score of the computing resource. The instructions may then cause the IHS to display the health context score for view by a user.

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.