48 results about "Nursing records" patented technology

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 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

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 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.

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 application belongs to the technical field of semantic processing, and discloses an ERAS nursing special disease database construction method and system based on semantic processing, which comprises the following steps: receiving multi-source data from nursing records, medical order information and a preset ERAS nursing path node, uniformly processing the multi-source data in a format and field standardization manner, classifying and arranging nursing related information, and forming a standardized nursing data set; performing semantic analysis on the standardized nursing data set, identifying nursing semantic elements, constructing corresponding nursing event objects based on the nursing semantic elements, and forming a condition record set associated with each nursing event object; calculating a semantic certainty score for each nursing event object in the condition record set, wherein the semantic certainty score is composed of a semantic anchor certainty, a rule inference certainty and a context coverage certainty; and the accuracy and intelligent level of the ERAS nursing special disease database in data modeling, query screening and decision support are improved.

An assessment support system includes: an assessment prediction unit that predicts, based on patient information about a target patient who is a creation target for an assessment in a nursing record, an assessment vector obtained by vectorizing the assessment of the target patient, as a prediction assessment vector; a degree-of-similarity calculation unit that calculates a degree of similarity of the assessment vector to the prediction assessment vector, based on a relationship between the predicted prediction assessment vector and the assessment vector of a patient having the assessment recorded in the nursing record; and a search unit that searches for and outputs at least one similar patient who is similar to the target patient, based on the degree of similarity.

A system and method for automatically generating a care record are provided, which are suitable for a baby bed cover. The system includes an image capturing device and a processor. The image capturing device captures a real-time image of a baby in the baby bed. The processor is configured to receive the real-time image and detects whether an abnormal event occurs in the real-time image. The processor detects an opening time and a closing time of the bed cover to obtain a start and end time of a care operation. The processor recognizes an abnormal event type according to the abnormal event, selects a care record template according to the abnormal event type, and generates a care record according to an occurrence time of the abnormal event, the abnormal event type, the start and end time of the care operation, and the care record template.

A nursing care information system including mobile devices and hospital information computer devices; the mobile device includes: a user interface module electrically connected to the mobile device, for inputting user information; and six modules electrically connected to the user interface module, including a patient list module, for providing a list of patients cared for by nursing staff; a medical order confirmation module, for pushing and sound notifications, reminders and confirmations to nursing staff; a mobile drug delivery module to providing medical advice to patients under the care of nursing staff; an nursing record module to provide nursing staff with input of patient event records; a work list module to provide and remind nursing staff of to-do items; the upload photo module is used to provide nursing staff with the ability to take photos of patient wounds and image records of special events.

Apparatuses and methods for monitoring and verifying the performance of one or more patient health care protocols may identify appropriate patient protocols, organize patient protocols across multiple patients for specific caregivers and / or hospital units, display and / or order patient protocols, and / or track compliance with the patient protocols. Protocols may be determined from patient healthcare records and delivered to healthcare staff. The healthcare staff can perform or execute the patient care protocols and the apparatus or method may automatically and non-obtrusively collect evidence that the care protocol has been performed. The patient's healthcare records can be updated to include care protocol verification information.

This application discloses a digital management method and system for hospital nursing quality indicators, relating to the field of medical and nursing quality information technology. The method includes the following steps: setting assessment rules for evaluating nursing process quality indicators; acquiring patient nursing records and constructing a patient-centered event time series; based on the assessment rules, filtering nursing events related to the corresponding nursing process from the event time series; dynamically adjusting the strictness of the assessment rules based on the identity information of nursing staff and the clinical status information of patients; verifying the event time series according to the adjusted assessment rules and obtaining verification results; determining the compliance of the nursing process based on the verification results, and generating a compliance conclusion and audit report for the nursing process. This application can intelligently distinguish between genuine nursing quality defects and discrepancies in record appearances caused by differences in personnel and context, solving the problems of fragmented processes, isolated data, and delayed assessment in traditional nursing quality management.

The invention discloses a self-adaptive control method and a self-adaptive control system for the comfort level of thermal Margari treatment, and belongs to the technical field of automatic control of beauty equipment. On the basis, historical nursing records which have similar skin states and are associated with comfort feedback are retrieved from a historical database, a personalized initial nursing control strategy sequence is generated, skin impedance response signals are monitored in real time, actual skin state change characteristics are calculated, and the actual skin state change characteristics are calculated; and dynamically comparing with the reference feature expected based on the initial strategy, and when the deviation exceeds the preset range, automatically and instantly adjusting the energy parameter or action duration in the subsequent nursing strategy, thereby realizing accurate and self-adaptive control of the nursing process. According to the method, the dependence on the experience of an operator is effectively reduced, and the individuation degree, the stability and the user comfort degree of thermal margari nursing are remarkably improved in a mode of combining historical data and real-time feedback.

The invention discloses a nursing recorder equipment ID identification method. According to the core scheme, the method comprises the following steps: realizing cross-equipment communication by adopting an NFCForum standard and an NDEF data format; the equipment ID is encrypted and stored through an AES encryption algorithm, and the data security is guaranteed in combination with dynamic key management; and the equipment ID adopts a hierarchical coding structure of '6-bit mechanism ID + 8-bit date number + 4-bit equipment increment number + 2-bit check code', so that the problem of multi-equipment identification conflict is solved. Compared with the prior art, the system has the advantages that a nurse only needs to use a mobile phone with an NFC function to get close to the nursing recorder, the nurse can read and decrypt the ID of the device through the nursing application APP, the operations of device binding, receiving, returning, data synchronization and the like can be completed, the number does not need to be manually input, and the operation efficiency is greatly improved. And meanwhile, the NFC module adopts a passive trigger mode, so that the power consumption of the equipment is effectively reduced, and the endurance time is prolonged.

The invention relates to the technical field of nursing diagnosis and treatment, in particular to an online nursing diagnosis and treatment system, which comprises an interactive terminal used for checking nursing service items, nursing personnel information and appointment conditions and filling nursing requirements; the data matching module is used for carrying out preliminary matching on corresponding nursing service items and nursing personnel according to the ability portraits of the nursing personnel on the basis of the nursing requirements of the patients; the nursing recording module is used for recording execution data of nursing service items; according to the invention, based on intelligent matching of the nursing personnel capability portrait, optimal matching of the nursing task and the executor capability is ensured, and meanwhile, the execution data of the nursing personnel is regularly acquired through the risk prediction module, so that the risk prediction efficiency is improved. And path adjustment is carried out based on a professional nursing knowledge base, so that each intervention has a basis, and a nursing decision which most conforms to the current condition of the patient is made.

The application discloses an ear-nose-throat-head-neck surgery nursing quality intelligent management and control system and relates to the technical field of nursing quality management and control. The system comprises the following steps: processing operation mode information, doctor's advice information, vital sign information, pipeline information, drainage information, symptom information, nursing record information and handover record information, and generating a nursing event sequence; identifying a current risk stage based on the nursing event sequence, generating a current stage nursing obligation set, and performing closed loop verification, stage switching re-authentication and nursing quality state output. The system can adjust the nursing strategy according to the change of the patient risk stage, and realize nursing abnormality identification and nursing breakpoint positioning.