77 results about "Nursing records" patented technology

The invention relates to a model for evaluating and predicting mild cognitive impairment risk of old people in a pension institution. The model sequentially comprises a behavior analysis module, a language recognition module, a social modeling module, a toughness calculation module, a feature fusion module, a risk reasoning module and the like. Behavior deviation characteristics and abnormal time periods are extracted by collecting behavior data of daily life, diet, social contact and the like of old people and comparing the behavior data with an institution work and rest template; in combination with nursing records, extracting language anomaly features; analyzing social frequency and structure changes in the abnormal time period, and extracting social variation features; a cognitive toughness index is calculated by integrating the health archive and the recovery ability to the health event; and performing toughness weighting on the multi-dimensional features to construct a time sequence tensor, and inputting the time sequence tensor into a recursive model to predict a cognitive impairment risk value. And if the risk value suddenly changes, the system automatically backtracks the feature trajectory of nearly 7 days, constructs and screens a prediction path with the strongest interpretation force, outputs a dominant prediction result and a key factor sequence, and realizes high-interpretability and high-reliability early recognition and intervention reference.

The embodiment of the invention provides an intelligent hospital guide method and system based on BERT and feature fusion. Wherein biochemical information such as humidity and temperature of a postoperative wound is collected through a dressing sensor of the intelligent medical textile, and a wound healing activity index is generated. A wound image is synchronously obtained and processed to enhance edge sharpness and texture, and a detailed wound topological structure is formed. In combination with nursing record text analysis, a semantic map describing inflammation intensity and seepage trend is generated and is associated with biochemical data. A wound healing activity index, a wound topological structure and a semantic map are dynamically associated in a cross-modal mode, and the analysis precision is improved by adjusting specific parameters, such as the association between humidity and a necrotic tissue boundary and the relationship between layering density and a pH value. And generating a wound healing deviation parameter according to a comprehensive analysis result, evaluating a risk level and triggering a corresponding hospital guide decision. According to the technical scheme provided by the embodiment of the invention, the intelligent hospital guide efficiency and accuracy can be improved.

The invention provides a patient pathological data analysis and evaluation method for clinical nursing, and relates to the technical field of nursing informatization. Comprising the steps of collecting biochemical and pathological data of a patient and standardizing units and reference values, analyzing the dynamic trend of detection values and classifying change directions and amplitudes, matching pathological labels and establishing association with nursing items, comparing differences between nursing records and the pathological data and establishing a transverse index relationship, and judging whether the nursing task difference exceeds a threshold value or not and adjusting a nursing path generation scheme. By integrating multi-source pathological data and standardizing units and reference intervals, data consistency and comparability are ensured, the index fluctuation trend is dynamically tracked, the change direction and amplitude are quantitatively analyzed, disease course evolution is accurately captured, direct mapping between pathological categories and nursing items is established, logic binding is clear, intervention precision is improved, and the method is suitable for clinical application. Differences between nursing records and pathological data are transversely compared, nursing dynamic adaptation is optimized, a path scheme is rapidly adjusted through threshold judgment, and the lagging or misjudgment risk is reduced.

The invention discloses an AI nursing whiteboard system and method based on a large model agent, the system comprises a nursing whiteboard terminal, an AI intelligent chain platform and a database, the nursing whiteboard terminal comprises an AI nursing assistant, and a whiteboard control system is arranged in the nursing whiteboard terminal. Through the functions of integration of multi-source data, intelligent early warning, accurate question and answer and the like, various diagnosis and treatment data, such as vital signs, medical advices, nursing records and the like, of a patient can be rapidly integrated and presented in a clear and visual mode, a large amount of time and energy are saved, the patient can rapidly know the condition of the patient, and the diagnosis and treatment efficiency is improved. Vital signs and illness state changes of a patient can be monitored in real time, early warning can be immediately given out once abnormal conditions such as heart rate and blood pressure exceeding normal ranges occur, a nurse can know the abnormal conditions in the first time and take corresponding measures, the response speed to emergency situations of the patient is greatly increased, and when the nurse encounters a question in the aspect of medical knowledge, the nurse can timely take corresponding measures. Inquiry may be made by an AI care assistant.

The invention relates to the technical field of nursing data processing, in particular to a nursing operation tracking and feedback system, which comprises a nursing process sequence verification module, a node sequence setting module, a node sequence setting module, a node sequence setting module, a node sequence setting module, a node sequence setting module and a node sequence setting module, and comparing the state sequence of the current operation state and the standard state, judging the missing intermediate state in the path and whether the path does not reach the termination node, and generating a nursing process sequence verification result. According to the method and the device, the compliance and the efficiency of the operation process are effectively improved through multi-level accurate evaluation of the operation sequence, the execution time and the potential step omission of the nursing process. According to the scheme, a nursing operation process is divided into a state node sequence, and a current operation state is compared with a standard process, so that operation jump and missing nodes which do not conform to specifications can be identified in real time. The detailed verification ensures the operation integrity and the process continuity, and effectively avoids step omission.

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

A method and a system for managing healthcare records of a user are provided. The method includes storing an electronic medical record related to the user in form of a non-fungible token (NFT) written to a blockchain, associating a smart contract to the NFT in the blockchain, authorizing a request to access the electronic medical record related to the user based on the defined ownership of the electronic medical record stored in the blockchain, identifying one or more NFTs from the blockchain comprising one or more electronic medical records related to the user based on processing of the identifier information in associated one or more smart contracts therewith, in response to the request, and sending the one or more electronic medical records corresponding to the identified one or more NFTs to a requestor associated with the request.

According to the clinical nursing patient information monitoring and inputting method and system, the data accuracy, the data inputting efficiency and the privacy protection safety are improved; the method comprises the following steps: firstly, collecting and preprocessing vital sign data of a patient in real time through various physiological sensors; then, acquiring a nursing record image, acquiring nursing record data through an OCR model, acquiring nursing information voice, transwriting the nursing record data and the nursing information voice into nursing information data through a medical scene voice transwriting model, and performing unified standardization processing on the three groups of data to generate patient information data; and finally, when patient information data is input, symmetric encryption is carried out by adopting a national cryptographic SM4 algorithm, encrypted data is obtained, a dynamic encryption key is generated through an ECDH key distribution technology, and the dynamic encryption key can be called to carry out decryption operation after authentication of a dual protection mechanism of Hash value pre-verification and identity authentication is passed.

The invention relates to the technical field of health management, and discloses a method and system for managing medical health care records of a user, and the method comprises the following steps: S1, collecting multi-modal medical data of the user, including electronic health records, medical image data, vital sign data and genomics data; s2, preprocessing the collected medical data, including data cleaning, format standardization and noise removal; and S3, carrying out time synchronization on the data of different modalities by adopting an optimized time alignment method. According to the method, probability modeling and topological data analysis are adopted, the health prediction precision is improved, false alarms and missing alarms are reduced, federated learning and differential privacy are combined, cross-mechanism collaborative modeling is achieved, data safety is enhanced, health intervention is optimized through reinforcement learning, a management strategy is dynamically adjusted, and the individuation precision is improved; the scheme has better adaptability, safety and intelligence.

The invention discloses an intelligent adverse drug reaction acquisition system and method based on clinical practice, and the method comprises the steps: obtaining a medication record, a disease course text and a nursing record of a patient, and an inspection index; s2, performing identification and relation extraction on the data acquired in the S1, and constructing a time-sequenced knowledge graph of medicine-indications-test abnormality-clinical bad symptoms; training a Transform prediction model through a time sequence knowledge graph, complementing a knowledge graph relationship, and predicting a missing relationship and an entity; s3, monitoring the change of physiological indexes of the patient after medication in real time, performing dual-channel early warning, adding the detected adverse reaction into the prediction model in S3, and performing update training on the prediction model; a time sequence knowledge graph is constructed, the correlation between the medicine and the adverse reaction is comprehensively and systematically presented, powerful support is provided for clinical research and supervision, and the medicine safety monitoring level is improved.

The invention relates to the technical field of medical care data processing, and particularly discloses a medical care data processing system based on reinforcement learning, which comprises a data acquisition module used for acquiring multi-source heterogeneous medical care data, the multi-source heterogeneous medical care data comprises basic information, vital sign data, diagnosis records, care records and medication information of a patient; the data preprocessing module is connected with the data acquisition module and is used for cleaning, denoising and standardizing the acquired medical care data and converting the processed data into a uniform format; and the reinforcement learning module is connected with the data preprocessing module, constructs a reinforcement learning model, and takes the preprocessed medical care data as input. According to the medical care data processing system based on reinforcement learning, the data processing accuracy and efficiency are remarkably improved, the disease risk prediction error is reduced by more than 25%, and the model updating time is shortened by 40%.

The invention relates to the technical field of management, and particularly discloses a hypertension collaborative management method based on individual case management and narrative nursing fusion, which is used for solving the problem that the rehabilitation effect of a patient is further influenced due to the fact that the patient always lacks emotional support in the process of seeing a doctor, medical behaviors pay more attention to physiological indexes and neglect psychological needs. The blood pressure of the patient is monitored regularly through the intelligent blood pressure detection equipment, the blood pressure fluctuation of the patient is specially recognized through an anomaly detection recognition algorithm, a targeted blood pressure fluctuation record is generated, the historical medical record of the patient and the language sample of the patient in each time of seeing a doctor are collected, and the language emotion of the patient is analyzed based on the language sample. The rehabilitation effect of the patient is comprehensively evaluated on the basis of the blood pressure fluctuation record and the personalized nursing record, neglect on emotion and psychological needs of the patient in traditional hypertension management is made up, and the medical experience and rehabilitation effect of the patient can be remarkably improved.

The invention discloses an information digital integration system of an edge intelligent mobile hospital, and relates to the technical field of mobile application development. Patient nursing record quantity, vaccination quantity, sickbed use quantity, patient medical record quantity needing to be checked, patient quantity needing to be checked, prescription issuing quantity, stock quantity corresponding to various medicines, use quantity corresponding to various medicines and purchase quantity of various medicines corresponding to an intelligent mobile hospital at a specified edge in a specified area are analyzed; according to the method and the system, the workload evaluation coefficient of nurses, the workload evaluation coefficient of doctors and the drug use evaluation coefficient of each drug in the intelligent mobile hospital at the specified edge of the specified region are calculated, so that the workload of medical staff and the use condition of the drugs can be evaluated more accurately; the mobile hospital can control the cost more accurately, resource waste is avoided, and reasonable control over the cost is achieved.

This invention relates to the field of smart healthcare technology and discloses a method and system for verifying clinical nursing information based on speech recognition. The method includes the following steps: an edge device acquires a nursing item script; responds to a voice wake-up command, driving the terminal to read the script item by item; collects real-time voice recordings and performs beamforming noise reduction, using semantic vectors to accurately extract assessment information and fill in the slots; intelligently identifies missing items and triggers dynamic follow-up questions; summarizes and generates structured confirmation information for repetition; if a modification command is detected, a pointer callback is triggered to jump to re-record, and after confirmation, the information is encrypted and uploaded to the cloud. This invention, through a cloud-edge-device collaborative architecture and breakpoint protection technology, achieves contactless entry and closed-loop verification of nursing records. This solution supports interrupted resume transmission and non-linear logic jumps, effectively solving the pain points of easily interfered clinical operations and cumbersome manual recording. While ensuring aseptic operation, it significantly improves the efficiency and accuracy of clinical document generation.

The present invention relates to the field of medical nursing technology, and in particular to an analysis system based on a data model in the field of neurology nursing. The system includes a neurology nursing behavior feature analysis module, a neurology nursing risk assessment module, a nursing demand and feature change law analysis module, and a neurology nursing decision support module. It can obtain neurology patient behavior dimension data and neurology nursing record dimension data to perform condition nursing behavior feature analysis and neurology nursing risk assessment calculation to obtain a neurology condition nursing risk assessment value; obtain neurology patient nursing needs and perform feature change law mining and analysis, and at the same time perform nursing decision support analysis on the corresponding neurology patient nursing process, generate a neurology patient nursing decision support recommendation plan, and execute corresponding neurology patient nursing decision intervention measures. The present invention can significantly improve nursing efficiency.

The invention belongs to the technical field of natural language processing, and discloses a nursing record processing method and system based on a large language model. The method comprises the following steps: preprocessing all nursing documents to obtain a preprocessed nursing document text comprising a plurality of clauses; performing candidate document matching on the plurality of preprocessed nursing document texts by using a mixed retrieval method to generate a final model input list; encoding the final model input list by using a large language model in combination with an encoding rule to obtain an encoding result; performing verification and term mapping on the coding result by using a large language model to obtain a structured coding result; and performing structured conversion on the structured coding result to obtain a structured result, and verifying the structured result and counting coding precision indexes in combination with a manually marked coding result. According to the invention, the problems of low efficiency, low accuracy and poor processing effect in the prior art are solved.

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

This application discloses a method, device, equipment, and medium for monitoring the execution of nursing plans, relating to the field of medical information technology. It preprocesses multivariate nursing information of the current patient to obtain a current nursing plan; inputs the current nursing plan into a target BERT model to obtain structured task tuples including various nursing interventions; uses an incremental FUP algorithm to mine strong association rules between the types of nursing interventions in the structured task tuples and the nursing record types corresponding to the current nursing execution event, and constructs an association graph based on these strong association rules; matches the current nursing execution event with the nursing interventions in the structured task tuples based on the association graph to obtain association evidence information; evaluates the execution status of the current nursing plan based on the association evidence information, and generates a quality control report based on the evaluation results. This eliminates data fragmentation in nursing plan execution monitoring, thereby improving the accuracy of monitoring results.

An object of a system according to an embodiment is to efficiently manage nursing care services.SOLUTION: A system includes a health monitoring part, a social activity support part, a drug management part, and a nursing care record creation part. The health monitoring unit monitors a health condition of the cared person. The social activity support unit supports a social activity of the cared person. The medication management unit performs medication management of the cared person. The nursing care record creation part creates a nursing care record.SELECTED DRAWING: Figure 1

An apparatus, including a central processing computer and a distributed ledger and blockchain technology system. The central processing computer detects an updating event of or regarding family history information of or for a biological relative or blood relative of the individual, processes information regarding the detected updating event, and updates one of more of the electronic healthcare record, the electronic medical record, the electronic dental record, the electronic pharmacy record, the electronic behavioral healthcare record, or the personal healthcare record, of or for an individual, with information regarding the family history information of or for the biological relative or blood relative of the individual in response to the updating event. The information regarding the updating of the family history information of or for a biological relative or blood relative of the individual is stored in the distributed ledger and blockchain technology system.

A computer-implemented method, including providing or facilitating a tele-health visit involving a video call between a user communication device associated with an individual and a provider communication device associated with a healthcare provider; providing access to a first electronic healthcare record for or associated with the individual during the tele-health visit, displaying video information regarding the individual along with a portion of the first electronic healthcare record; processing information for updating the first electronic healthcare record for or associated with the individual; updating the first electronic healthcare record for or associated with the individual; and updating, utilizing information stored in a master records file, a second electronic healthcare record, or updating an electronic medical record, electronic dental record, electronic pharmacy record, electronic behavioral health record, or personal healthcare record, for or associated with the individual or the patient.

The invention discloses a spinal post-operation rehabilitation posture intelligent monitoring system based on multi-modal data, particularly relates to the field of medical informatics and nursing guidance, and is used for solving the problems that in the existing spinal post-operation rehabilitation nursing process, manual observation is mainly relied on, and continuous monitoring and risk prediction are difficult to carry out on posture changes and potential compensation behaviors of a patient. By fusing electronic medical record information, nursing records and posture movement data, an individualized dynamic activity safety domain is constructed, posture changes of all stages in the posture conversion process are matched and analyzed, abnormal postures and compensation modes are recognized, and a posture conversion stage association network is established to predict continuous compensation risks. Therefore, a nursing risk prediction result and a corresponding nursing intervention guidance strategy are generated, so that the safety of postoperative rehabilitation nursing is improved, an auxiliary decision making basis is provided for nursing personnel, and intelligent nursing monitoring, precise risk assessment and personalized nursing intervention in the spine postoperative rehabilitation process are realized.

An assistance method for assisting a user in ascertaining a health state of a subject includes acquiring a care record of the subject including text data during a first period (S11), determining the presence or absence of a physical condition abnormality of the subject based on the text data using a natural language processing model (S12), and performing a processing of the health state of the subject based on the determined physical condition abnormality. Prompt information based on the determination result of the presence or absence of the physical condition abnormality is output to an information terminal of the user (S17).

The invention belongs to the technical field of internet medical treatment, and discloses a multifunctional electronic medical record generation method and system for clinical nursing, and the method comprises the steps: generating and storing an event ID uniquely corresponding to a nursing event; collecting multi-modal care data associated with the event ID; verifying the validity of the standard scale reference object in the nursing image; inputting the nursing image passing the verification into a multi-label classification model; performing structured information extraction on the supplementary record data; performing associated storage on the event ID, the nursing image, the AI tag and the structured nursing text; according to a comparison report generation request of the target patient, analyzing the acquired nursing images at the at least two different time points; and generating an image-text combined nursing comparison report. According to the invention, a dynamic and continuous electronic nursing file is constructed for each patient, so that a traditional discrete recording mode which takes text as a main part is thoroughly changed, and the objectivity, integrity and specialization level of nursing records are improved.

The invention relates to an infectious tophus ulcer wound nursing scheme assessment method and system, and the method comprises the steps: collecting the standardized electronic medical record data of a patient through a medical information system, including demostatistics, wound characteristics, laboratory inspection index sequences and nursing records; after structured processing, timestamp unification and missing value filling are conducted on the data, the data are input into a pre-trained deep learning model, expected wound healing probabilities, predicted healing time and complication risk scores corresponding to different nursing schemes are output, then a comprehensive assessment report is generated, the report is stored in a database, and a visual query interface is provided. And meanwhile, collecting actual nursing result data for continuous optimization and updating of the model. According to the invention, quantitative evaluation and prediction of the nursing scheme are realized, clinical decision making is effectively assisted, and the accuracy of nursing management and the resource utilization efficiency are improved.

The method for automatically inputting an electronic care record according to the present invention may comprise: a step of selecting a user interface section by an electronic care record system; inputting a text into a text input box of the user interface unit in accordance with items of a care record; performing cleaning and word segmentation on the input text; a step of performing fine tuning on the text after word segmentation; and inputting the fine-tuned text into the electronic nursing recording system. Wherein the step of fine tuning can screen at least more than one piece of nursing record data corresponding to the input text from a predefined nursing record database, so that the input text can be automatically completed or corrected.

The invention provides a neurosurgery nursing record key event extraction method and system based on natural language processing, and relates to the technical field of artificial intelligence and natural language process.The method comprises the steps that candidate terminologies are recognized through a neurosurgery field terminology library based on a word vector sequence; based on the candidate terminologies, extracting core semantic vectors of the candidate terminologies, and associating corresponding entity type embedding vectors and event type embedding vectors; and performing multi-modal fusion and nonlinear transformation on the core semantic vector, the entity type embedding vector and the event type embedding vector to obtain a semantic enhanced term sequence. According to the method, the unstructured neurosurgical nursing records are automatically converted into the structured key event report capable of directly supporting clinical decisions, and the core problems of semantic fuzziness, information fragmentation and poor practicability in an original text are solved.

The invention relates to the field of medical equipment, and provides distributed extracorporeal circulation support continuous monitoring equipment based on a bus. A plurality of sensors are connected together through the first bus, the sensors belong to distributed sensor stations, the number of the sensors can be increased or decreased according to needs, and during connection, only the next sensor needs to be connected with the previous sensor station through one first bus, so that the number of connecting wires is effectively reduced, and the cost is reduced. The circuit structure is simplified, and the operation is more convenient; the monitoring equipment main body can obtain the first parameter information and the second parameter information output by the ECMO equipment, and display the first parameter information and the second parameter information; the medical staff can estimate and judge the disease course of the patient according to the change trend of the data. The information such as the pump rotating speed and the blood flow volume can be directly acquired and displayed, so that a doctor can conveniently and quickly make a judgment and does not need to look over the information on the ECMO equipment or a paper nursing record list.

The utility model relates to the technical field of data storage tools, in particular to a temporary storage device for nursing record data. Comprising a machine case, a plurality of containing spaces are distributed in the machine case in the transverse direction, triggering pieces capable of moving longitudinally are arranged in the containing spaces, blocking pieces are arranged at the front ends of the containing spaces, and L-shaped rails are arranged at the positions, close to the blocking pieces, of the front end of the machine case; the supporting plate is installed in the track and can slide along the track, and a plurality of groove positions used for containing cards are evenly formed in the upper portion of the supporting plate; cards can be placed, statistics and checking are convenient, the cards can be stored in sequence in the using process, the disordered situation is avoided, information input is convenient, and using convenience is improved.

1. The name of the design product: voiceprint nursing recorder. 2. The use of the design product: a multifunctional nursing device that integrates human-computer interaction, voice recognition technology, can automatically record nursing content and classify display, and supports vital sign monitoring and nursing staff attendance identification. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective drawing.