65 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 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 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.

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 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 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 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.

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.

The invention discloses a personalized nursing plan making method and device. The method comprises the following steps: acquiring a medical record of a patient; the medical records comprise basic information, historical diagnosis results, historical treatment records, questionnaire conditions, patient nursing records filled by nursing personnel and various vital sign data; inputting the medical record of the patient into a preset state evaluation model, and determining a physiological state score, a psychological state score and a social state score of the patient; according to the physiological state score, the psychological state score and the social state score of the patient, the nursing demand needed by the patient is determined; inputting the nursing demand and the medical record of the patient into a nursing plan making model, and generating a personalized nursing plan of the patient; the personalized nursing plan comprises nursing directions, nursing measures and corresponding nursing time. According to the invention, decision differences among different nurses can be avoided, and the accuracy, objectivity and consistency of nursing decisions are improved.

The invention belongs to the field of internet medical treatment, and particularly relates to an electronic medical record workstation system for realizing medical care collaboration and a collaboration method.The method comprises the steps that after a hospitalization record list generation module receives patient hospitalization information sent by an information collection module, a generated hospitalization record list waits for a nurse workstation to call; the doctor workstation stores electronic signatures of doctors, manages hospitalization information of patients by the doctors and waits for calling by the nurse workstation; meanwhile, calling a nursing record list of a nurse workstation in real time, and further judging whether the monitoring data of the patient reaches the discharge standard or not; the nurse work station generates a hospital admission nursing evaluation sheet after acquiring the hospital admission record sheet of the patient in the hospital admission record sheet generation module, sends an electronic signature of a doctor after the doctor confirms the hospital admission record sheet, and creates a specified patient monitoring record; after a set monitoring period is met, a nursing record list is generated and waits for being called by a doctor workstation. According to the invention, a multi-user cooperation function is realized, and multiple medical personnel can be supported to access and modify the electronic medical record data at the same time.

The invention relates to the technical field of pre-diagnosis and health management, in particular to a liver, gall, pancreas and spleen nursing decision-making system based on a knowledge graph, which comprises a term collection module, a semantic recognition module, a path positioning module, a node verification module and a decision-making reasoning module. According to the method, structured extraction of symptom expression and nursing behaviors is achieved by collecting nursing record content and constructing a semantic input sequence, a term pair list is generated through combined fragment recognition to improve the term expression standardization level, and a semantic contrast mechanism is formed through keyword cross mapping to enhance matching association between terms and path nodes. Node pairs which do not conform to a logic sequence are eliminated through path semantic structure verification to guarantee the closing performance of a path structure, accurate butt joint between a nursing scene and knowledge reasoning is achieved through path entry marking and context mapping, nursing information expression is systematic and normative, the path generation process is made to have continuity and logicality, and the path generation efficiency is improved. And the decision record has traceability and computability.

A system for integrating medical device case files with corresponding electronic patient care records (ePCRs) is provided. The system includes a database storing a plurality of medical device case files and at least one processor. The at least one processor receives, from a patient charting device, charting data documented in an ePCR for an encounter with a particular patient, generates a search criterion based at least in part on the charting data, the search criterion including a predetermined relationship between at least one first parameter from the charting data and at least one second parameter associated with a medical device case file, identifies the medical device case file based on the generated search criterion, and generates an integrated patient encounter record including at least a portion of medical device data from the medical device case file and the charting data.

A trained model generation method includes: determining, per first period, whether a subject has an anomaly in a physical condition, based on a care record including text data; extracting, based on activity data on the subject in a second period that includes a plurality of first periods each being the first period, one or more features calculated for one or more first periods in which the subject is determined to have no anomaly in the physical condition, the one or more features being extracted from among one or more features per first period; and generating, through learning, a trained model that uses a feature of the subject as an input and outputs an anomaly score indicating a degree of an anomaly in the physical condition of the subject, the learning using the one or more features as input data, and using the anomaly score as training data.

The objective is to provide information processing technology that allows for easy import of documents using multiple past forms, including caregiving record data, while simultaneously enabling easy extraction of desired information. [Solution] The information processing technology receives multiple document data containing identification information for identifying a person receiving care and care record data for the person receiving care, extracts identification information for identifying a person receiving care from the document data, extracts care items from the document data, extracts care items corresponding to the care items from the document data, stores the extracted care items and care items as extracted information in association with the identification information, receives an output request from the caregiver to output information related to at least one of the care items or care items, or information related to the identification information of the person receiving care, learns past output requests received, generates output information based on the received output request, and transmits the generated output information to the caregiver.

The invention relates to a door-to-door nursing management method, device and system, computer equipment and a computer readable storage medium. The method comprises the following steps: establishing communication connection between a user account end and a doctor account end; receiving inquiry record information sent by the doctor account end, and generating and filing an electronic medical record based on the inquiry record information; and sending a nursing task to the first nursing account end, after the first nursing account end starts the nursing task, sending an electronic medical record associated with the user account end to the first nursing account end, and after the first nursing account end completes browsing of the electronic medical record, establishing a video communication connection between the first nursing account end and the second nursing account end. The first nursing account end and the second nursing account end are enabled to perform nursing information checking based on the video communication connection; and after the first nursing account end and the second nursing account end complete nursing information checking, generating a nursing document based on the nursing record information, and archiving the nursing document. By adopting the method, the home care service quality can be improved.