59 results about "Patient communication" patented technology

The invention discloses a knowledge graph construction method and device based on multi-modal clinical data, equipment, a medium and a product, and relates to the field of knowledge graph construction, and the method comprises the steps: constructing a medical knowledge type knowledge graph; based on the dynamic event data of the patient and the doctor-patient dialogue data, constructing a medical event type knowledge graph; fusing the medical knowledge type knowledge graph and the medical event type knowledge graph to obtain a fused medical knowledge graph; collecting multi-modal data in the diagnosis process of the patient, and fusing the multi-modal data with the fused medical knowledge graph to obtain a finally constructed knowledge graph; the multi-modal data comprises text data, image data, voice data and physiological signal data. The problems that clinical knowledge is fragmented, deep mining is difficult, data cannot be associated in a unified mode, and doctor-patient communication knowledge is fragmented can be solved.

The invention provides a multi-dimensional real-time doctor-patient communication evaluation analysis method and system, and the method comprises the steps: collecting the real-time dialogue content between a doctor and an AI simulation patient, and carrying out the processing of the real-time dialogue content, and forming a structured dialogue event sequence; dividing the dialogue event sequence into a plurality of semantic event units, inputting the semantic event units into an intention recognition model, and extracting a semantic tag sequence; constructing a semantic intention trajectory based on the semantic tag sequence, matching the semantic intention trajectory with a predefined dimension scoring model, and generating a three-dimensional preliminary scoring result of treatment universality, polite normalization and humanistic care normalization; obtaining a dynamic weight distribution parameter, carrying out weighted fusion on the dynamic weight distribution parameter and the preliminary scoring result to generate a comprehensive scoring result, and judging whether the comprehensive scoring result is lower than a preset threshold value or not; and if yes, generating a dynamic feedback signal. According to the method, the comprehensive accuracy and situation adaptability of doctor-patient communication evaluation can be improved, and the effect of doctor-patient communication training is improved.

1. Name of the product in this design: Graphical User Interface for a Doctor-Patient Communication Service Platform for Electronic Devices. 2. Intended use of this design: for use in an electronic device. 3. The key design feature of this product is its graphical user interface. 4. The picture or photo that best illustrates the key design points: Design 1 main view. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: a cross-platform collaborative doctor-patient communication service platform. 7. Human-computer interaction method of graphical user interface: The corresponding operation is achieved by selecting the corresponding button on each main view interface. 8. Other situations requiring explanation: Other explanation: The single gray filled area in the interface is the content screen.

The utility model relates to magnetic resonance equipment. The magnetic resonance equipment is provided with a magnet unit; a patient receiving area at least partially surrounded by the magnet unit, the patient receiving area being designed to receive a patient during a magnetic resonance examination; and a patient communication unit, characterized in that the patient communication unit comprises a patient communication element, said patient communication element comprising a transmitting unit for wireless data transmission of communication data.

The utility model relates to medical instrument technical field discloses a kind of adjustable general medical image reading device, including lamp cabinet, and the front side end surface of lamp cabinet is fixedly connected with light transmission panel, and the lamp cabinet fixedly connected with multiple power keys is located the position below light transmission panel, and power key is connected with the main control ware inside lamp cabinet through wire and forms electrical connection, and the top and bottom of lamp cabinet are fixedly connected with guide rail, and map enlargement mechanism is equipped between two guide rails, and map enlargement mechanism includes first sliding table movably connected on guide rail.Loupe can rely on first sliding table cooperation first guide wheel, along guide rail, realize stable transverse movement, and second sliding table is completed flexible longitudinal adjustment along guide shaft by second guide wheel, and through horizontal and vertical two-way position adjustment, can quickly accurately aim loupe at any target position of image, facilitate doctor detailed observation focus details, also can directly indicate focus to patient, effectively improve the efficiency of diagnosis and treatment reading and the accuracy of doctor-patient communication.

This application provides a dental simulation workbench training system and method based on spatial computing technology, for solving problems that prior simulator only supports single-player use, only trains based on an oral model, lacks full-process doctor-patient communication. A virtual-real fusion head-mounted display acquires positioning data of physical objects in real space. A situation observation server arranges virtual entities and generates a scene file. A simulation computer generates a mixed-reality treatment scenario, a virtual patient, and dental instruments from the scene file, allowing a complete patient journey, from entry to the end of treatment, to be replicated. Force sensation information is generated, and both poses of a force tool and a virtual tool are controlled to match with a pose of a force feedback tool. A user wears the head-mounted display to perform treatment. Multiple people are supported to watch the treatment of the same dental simulation workbench through a network.

The invention relates to the technical field of oral medical treatment, in particular to a periodontal examination automatic auxiliary diagnosis method based on oral cone beam CT image and oral scanning data registration, which comprises the following steps: collecting a CBCT image and intraoral scanning data of a patient, analyzing the CBCT image to extract tooth data volume, dental crown cutting end characteristics, coordinates and periodontal information, and identifying enamel and alveolar bone boundary; analyzing oral scanning data to extract dental crown incisal end features and a gingival margin line; cBCT and mouth scanning data are integrated, and after registration, the bag depth, retraction and attachment loss are calculated through measuring points; and displaying the periodontal measurement result in the periodontal reading system and generating a report. According to the method, the boundary lines are intersected with the six measuring surfaces to calculate key points of periodontal examination, namely the enamel boundary point, the alveolar bone boundary point and the gingival margin boundary point, and the bag depth, retraction and adhesion loss are calculated, so that full-automatic generation of periodontal examination results is realized; and in combination with a CBCT film reading tool, the periodontal disease condition is visually displayed and audited, so that manual audit and doctor-patient communication are facilitated.

The utility model relates to a medical auxiliary instrument. The utility model aims to provide a 3D printing type lung model for doctor-patient communication. The 3D printing type lung model comprises a lung model main body formed through 3D printing according to lung data of a patient; the lung model main body comprises a hollow lung lobe body formed by splicing two mold flaps, a trachea body formed on the lung lobe body in a heterochromatic 3D printing manner, and a focus body formed on the lung lobe body and / or the trachea body in a heterochromatic 3D printing manner; the lung lobe body is further provided with at least one hollow observation opening used for observing a focus body. According to the utility model, actual lung data 3D printing forming of a patient is adopted, the lung focus space structure of the patient can be fully and visually displayed, and accurate communication between a doctor and the patient is facilitated; 3D printing is conducted on the lung lobe body, the trachea body and the focus body through different colors, and the whole lung and the structure of the lung of the patient can be displayed in a layered mode more clearly.

The invention provides a training assessment method and system integrating diagnosis and treatment simulation and doctor-patient communication assessment. The method comprises the steps of receiving a training scene selection instruction selected by a doctor user; according to the scene selection instruction, calling the matched desensitized medical record data and the corresponding simulation dialogue template, generating and presenting dialogue content of the AI simulation patient, and performing diagnosis and treatment simulation dialogue with the doctor user. In the dialogue process, reply content of the doctor user is monitored, and whether the reply content meets diagnosis and treatment specifications and humanistic care requirements or not is judged according to preset scoring standard specifications; if not, triggering the AI simulation patient to put forward standard questions or expression emotion feedback to the doctor user according to the type of the non-conformity; and after the dialogue is finished, performing quantitative scoring on the performance of the doctor user in the whole dialogue process, and generating an evaluation report containing specific modification opinions. The method can realize synchronous cultivation of diagnosis and treatment and communication ability, is higher in training pertinence, and can improve the clinical application conversion efficiency.

The invention provides an intelligent accompanying and visiting support system and method for intensive care, relates to the technical field of medical information, and aims to solve the technical problems that in the related technology, a critical patient lacks continuous emotion support, the visiting experience of family members is poor, the family members are easily impacted by emotions, and the doctor-patient communication efficiency is low. Comprising the steps of obtaining original environment information flow; the original environment information flow is decomposed into a plurality of emotional information quanta, and each emotional information quantum is a discrete data unit bearing specific information; acquiring a patient emotional state vector representing the current physiological or emotional state of the patient; for each emotion information quantum, calculating a quantum transmission probability based on the patient emotion state vector and a preset resonance cavity configuration matrix; and based on the quantum transmission probability, executing a preset information processing operation on each emotion information quantum to generate a patient-oriented accompanying information stream and a family member-oriented visiting information stream.

Healthcare appointment information system and method enabling a patient to manage multiple accounts with third party sources through a single account. A user account is created for storing individual user healthcare data such as user preferences (e.g., Monday morning appointments or willingness to be placed on waiting lists), user names and passwords (for accessing third-party sources), contact information (phone, email, text), insurance plans, gender, age, medications, existing appointments and other healthcare information enabling the system to book an appointment on behalf of the patient on one or more availability sources. In addition to booking on the patient's behalf, the account information also enables patient communications with the various sources to be conducted through the system.

The application discloses a model demonstration teaching aid with an adjusting function for orthodontic and orthognathic head bones, which comprises a skull, the front surface of the skull is hingedly connected with a maxilla, the top end of the maxilla is abutted with a first demonstration mechanism, the bottom end of the maxilla is slidably connected with an upper dental alveolar bone, the inside of the skull is fixedly installed with a connecting mechanism, and the connecting mechanism comprises two left and right symmetrical mandibular branches. The demonstration teaching aid can dynamically demonstrate the process of orthodontic and orthognathic treatment, intuitively present the three-dimensional space changes of the jaw bones and the dentition, help students establish a three-dimensional anatomical cognition, deepen the understanding of the treatment mechanism, support flexible combination of different deformity states through modular design, adapt to various clinical case teaching needs, meanwhile, the demonstration teaching aid can customize the treatment scheme according to the individual conditions of patients, convert the abstract operation process into a concrete dynamic display, significantly improve the efficiency and accuracy of the doctor-patient communication, reduce the understanding deviation of the patients, and enhance the treatment compliance.

This invention discloses an ophthalmic intelligent question-answering method, system, storage medium, and electronic device based on graph retrieval enhancement. The method first automatically constructs a structured knowledge graph from ophthalmic clinical guidelines, containing entities such as diseases, anatomical structures, and treatment methods, along with their causal, relational, or hierarchical relationships. Upon receiving a user's natural language query, it parses key entities and intents, and uses this as a starting point to perform multi-hop retrieval within the graph, generating a contextual subgraph. After pruning and refinement, enhanced prompts are formed, driving a large language model to generate accurate and interpretable responses. The system supports the integration of vision screening data or electronic medical records to achieve personalized question-answering and can optionally provide knowledge tracing paths. The graph supports dynamic incremental updates, and the retrieval depth and breadth can be adaptively adjusted according to query complexity. This invention significantly improves the clinical accuracy, safety, and interpretability of responses, and is suitable for scenarios such as doctor-patient communication, remote consultation, and medical education.

The invention discloses a periodontal detection recording method, device, equipment and program product, and relates to the technical field of dental detection.The periodontal detection recording method comprises the steps that a detection mode instruction is received, and a detection mode and a detection item are determined based on the detection mode instruction; the detection mode comprises a pre-detection mode and a clinical detection mode; based on the input identity information, establishing or calling an electronic medical record file; receiving and displaying the detection data; based on the received tooth position switching instruction and the data confirmation instruction, the detection items, the detection data and the corresponding tooth positions are associated and matched to obtain associated data, and the associated data are stored in an electronic medical record file; and based on the detection mode and the associated data, generating multiple types of periodontal report frames for reference, and storing the periodontal report frames in an electronic medical record file. According to the method, the detection mode is allowed to be selected according to requirements, the detection applicability and efficiency are improved, the report arrangement time is shortened by generating the periodontal report framework for reference, and doctor-patient communication is promoted.

The invention provides a fundus focus visualization method and device and a computer readable medium, and the method comprises the steps: carrying out the abnormal region detection of a target fundus image, and obtaining a detection result; if the detection result shows that an abnormal region with an obvious boundary exists in the target fundus image, determining a visualization mode corresponding to a focus based on feature parameters corresponding to the focus of the abnormal region; and according to the visualization mode corresponding to each focus, performing visualization display on the abnormal region corresponding to the focus in the target fundus image, and generating a focus visualization result. According to the embodiment of the invention, the visual mode of determining the abnormal area corresponding to the focus according to the focus severity can be realized, so that the accuracy of fundus abnormality diagnosis is improved; and a doctor can be helped to more intuitively explain serious conditions of fundus abnormality to a patient, so that the patient can better understand own illness conditions, and the effectiveness of doctor-patient communication is enhanced.

This invention discloses a method and system for generating dynamic, emotionalized doctor-patient communication dialogues based on a large language model, belonging to the fields of artificial intelligence and medical education technology. The method includes: defining typical doctor-patient communication scenarios and basic emotion tags; establishing quantifiable intensity models for emotions; automatically mapping from keywords to emotion tags based on dialogue content; defining emotion conversion rules; real-time parsing of doctor-patient dialogue content; identifying the emotion types and specific doctor-patient communication scenarios involved in the current dialogue; outputting structured context objects; based on the context analysis results, applying preset emotion conversion rules, dynamically deciding the emotional state that the system should present, and outputting quantified objects of each emotion; encoding the state and the output quantified emotion objects into prompt words for the large language model, guiding the model to generate emotionally charged responses. This invention can provide doctors with a high-fidelity, repeatable, and low-cost communication training environment.

The application relates to the field of instant communication technology, and relates to a doctor-patient platform instant communication method and system, which comprises the following steps: starting a doctor-patient instant communication application, carrying out identity authentication, obtaining authentication parameters, judging whether the identity authentication is successful according to the authentication parameters, defining an identification content field and a message content field if the identity authentication is successful, pulling historical data, constructing a display format set, carrying out data updating, obtaining updated data, sending real-time data, carrying out data encryption and signature generation, obtaining encrypted data and a verification signature package, carrying out data sending, calculating transmission delay, judging whether the transmission delay is in a delay range, carrying out self-adaptive adjustment and verifying according to the verification signature package if the transmission delay is not in the delay range, obtaining verification data, verifying according to the verification signature package if the transmission delay is in the delay range, obtaining verification data, and completing communication. The application can improve the safety and privacy of doctor-patient communication.

The invention is suitable for the technical field of medical instrument auxiliary equipment, provides a tumor ablation preoperative simulation system and device, and relates to a multi-module integration system for soft tissue ablation preoperative planning, scheme simulation and doctor-patient communication. In the embodiment provided by the invention, for a target patient needing ablation treatment, tumor imaging data (such as CT and MRI) of the patient are acquired, a digital model of a tumor and peripheral tissues is reconstructed through three-dimensional modeling software, a preliminary ablation scheme is adjusted to obtain a personalized ablation scheme of the user, and a solid mold is manufactured; based on the personalized ablation scheme, simulated ablation is conducted through a human body bionic material, ablation parameters are adjusted in the ablation process according to the real-time electric field distribution state and the actual ablation range, and therefore the personalized ablation scheme is further optimized; according to the final ablation scheme of the patient, the high-light-transmittance medical glass three-dimensional mold is manufactured, and visual support is provided for doctor-patient communication. According to the system and the device, the risk that important tissues are damaged due to ablation range deviation is effectively reduced, the distribution state of ablation energy is truly fed back through a human body bionic material, and the problem that the scheme optimization efficiency is low due to the fact that the feedback time of a waiting result of a traditional simulation ablation scheme is long is solved.

The invention discloses an oral mucosa disease auxiliary diagnosis and treatment method and device based on a large medical model, and relates to the technical field of intelligent auxiliary treatment, and the method comprises the steps: obtaining a clinical medical record and public data, and constructing a multi-source data set of oral mucosa diseases; an OralGPT model is constructed, and the OralGPT model is trained by using the multi-source data set; wherein the training is two-stage training, the first stage is classification training, and the second stage is description generation training; and inputting a to-be-detected oral cavity image into the trained OralGPT model to obtain a diagnosis classification result and a clinical description text. The problems that existing artificial intelligence assisted oral mucosal disease diagnosis has interpretability obstacles, and consequently the clinical popularization and application effects are poor are effectively solved. The oral mucosa disease diagnosis accuracy of non-professionals can be improved, and smooth and clinical image description can be generated. The accuracy and efficiency of oral mucosa disease diagnosis can be improved, patients can understand their own conditions conveniently, and the doctor-patient communication efficiency is improved.

The invention discloses an allergic reaction department diagnosis and treatment auxiliary system based on role playing, which runs in a game engine environment and comprises a medical scene construction module, a behavior semantic acquisition module, a behavior driven diagnosis generation module and a semantic feedback integration module. A virtual scene corresponding to a diagnosis and treatment process is constructed, medical knowledge is embedded into an interaction event, a user participates in inquiry as a role identity and triggers semantic feedback, behavior and statement data are collected in real time, and a behavior semantic mapping structure is generated. Under the condition that a fixed inquiry sequence is not set, a diagnosis chain is automatically formed according to the semantic dependency relationship, a structured diagnosis report is output, and then a result is written back to a virtual scene to achieve knowledge updating. According to the method, an integrated medical intervention process of scene simulation, behavior acquisition and result generation is realized, and the patient participation degree, the doctor diagnosis efficiency and the doctor-patient communication effect are remarkably improved.

This invention relates to the field of image generation technology and discloses a method for rendering dynamic images of multi-threshold status lights based on the temporal sequence of heart failure vital signs. The method includes the following steps: Step S101, calculating the oxygen saturation recovery time constant after standing at dawn; Step S102, constructing a multi-signal input vector; Step S103, solving for the probability distribution of multi-threshold color bands; Step S104, calculating and obtaining smoothed color and smoothed brightness; Step S105, generating brightness modulation and radius modulation signals; and Step S106, generating a dynamic image of multi-threshold status lights. This invention uses the oxygen saturation recovery time constant after standing at dawn as the main anchor point, integrating key vital signs such as body weight, heart rate, and hemodynamics. Through monotonic integral embedding, contextual embedding, and convex optimization algorithms, it transforms complex temporal vital signs into intuitive dynamic images of multi-threshold status lights, providing reliable assistance for long-term monitoring of heart failure, thereby improving the timeliness of disease warnings and the efficiency of doctor-patient communication.

The invention discloses a cross-culture diagnosis and treatment intention recognition and conversion system. AI semantic analysis is used for achieving mutual translation of health expressions among different medical systems. The system constructs a multi-source corpus and a contrast knowledge base, trains a multi-language intention recognition model, automatically analyzes traditional Chinese medicine, Ayurbark and other terms (such as qi deficiency) used by a patient, converts the terms into structured symptoms and causes (such as fatigue and weakness) of modern medicine, and can perform reverse translation. Alignment of concepts and semantic spaces is achieved through cognitive migration, semantic gaps between medical cultures are eliminated, doctor-patient communication efficiency is improved, and misunderstanding and misdiagnosis are avoided. The system guarantees semantic sovereignty of each medical utterance system, ensures equal expression, is suitable for international telemedicine, intelligent hospital guidance and bilingual service, and has important application value and intellectual property prospect.

The application relates to the technical field of medical instruments, and discloses a ward round vehicle medical patient communication information online synchronization system, which comprises a data acquisition module, a data preprocessing module, a sound quality analysis module, a tone analysis module, a patient comprehensive analysis module, a report review module and a report generation module. Compared with traditional ward round technology, the system realizes comprehensive intelligentization and dataization of the ward round process through the integrated multi-module collaborative work. In terms of sound quality processing, the system solves the speech distortion problem in a high-noise environment through dynamic noise reduction and audio enhancement technology; in terms of dialect recognition, the system significantly improves the accuracy of dialect communication through tone analysis technology; in terms of report generation, the system greatly improves the efficiency and accuracy through intelligent decision-making and automatic generation mechanism. Overall, the system optimizes the ward round process, improves the medical patient communication quality, reduces the medical error rate, and provides more reliable support for clinical decision-making.

Disclosed herein is a computer implemented method for managing healthcare diagnosis and treatment. The method includes the steps of monitoring at least one data source for a workflow trigger comprising at least one of an order, a test result, an appointment, a patient demographic, a patient status, a patient history, a patient communication, or a condition; and triggering a workflow upon the detection of a workflow trigger. The workflow comprises a first decision-making layer configured to manage at least one of a rule, a patient test, and a patient communication; a second decision-making layer configured to manage at least one workflow, wherein the workflow comprises at least one rule; and a third decision-making layer configured to manage at least one machine learning model, wherein the machine learning model is configured to process data relevant to the workflow and to determine a probability of a condition to be tested.

The invention relates to an emergency patient communication auxiliary device based on eye signal recognition, and belongs to the technical field of medical instruments, the emergency patient communication auxiliary device comprises an eye signal capturing frame, and a subminiature high-definition flat camera and a pupil tracking and action recognition module are arranged in the eye signal capturing frame. Nanoscale infrared light emitting diode arrays are uniformly distributed around the inner side surface of the lens ring, and a miniature laser radar sensor is arranged above the outer side of the lens ring. The signal processing unit is connected with all the modules through wireless signals and receives and processes eye signals. The operation execution unit comprises a high-resolution display screen, a voice playing module and the like. The device can accurately collect eye signals and convert the eye signals into operation instructions, and intelligent recognition and response to communication requirements of patients are achieved. By capturing the eye movement of the patient and converting the eye movement into the clear communication instruction through processing, the patient can feed back the confirmation instruction, effective communication between the hand-constrained emergency patient and the medical staff is achieved, the requirements of the patient can be transmitted in time, and the communication efficiency and safety in emergency nursing are improved.

Patient communication system (10), featuring - a display device (30), - a control device (50), - a first patient counter (41), - a second patient switch (42), - wherein the control device (50) is configured to display a number of one or more patient selection menus (100, 105) on the display device (30), - where each patient selection menu (100, 105) has multiple sectors, - where in several sectors a respective patient menu object (110, 120) can be displayed in a respective inactive or an respective active state, - wherein the control device (50) is configured to, - in each patient selection menu (100, 105) only one patient menu object (110) is displayed in the active state and all other patient menu objects (120) are displayed in the inactive state, - responding to an activation of the first patient switch (41) to display the respective next patient menu object (110) in the active state, and - responding to an activation of the second patient switch (42) to select a respective patient menu object (110) displayed in the active state.

The utility model discloses a mobile CT (Computed Tomography) reading rack, which comprises a support component, a rotary lifting component and a lamp box component, the lamp box component is arranged on the rotary lifting component, and the rotary lifting component is arranged on the support component. The utility model belongs to the technical field of medical instruments. Air pressure in the sliding air cavity is controlled through the one-way valve of the supporting assembly and the pedal, the technical effect of manually controlling the height of the reading rack is achieved, the damping device is arranged between the supporting assembly and the rotary lifting assembly, the resistance is small when the lifting rod moves upwards, then the manual lifting force is small, the resistance is large when the lifting rod descends, and the reading rack is convenient to use. Collision caused by too fast descending of the lifting rod is prevented; by rotating the lamp box assembly, the lamp box assembly is vertically or horizontally placed, multi-angle film reading is achieved, doctor-patient communication is better facilitated, the lamp box assembly is provided with the magnifying glass and the enhancing lamp which move synchronously, a doctor can clearly observe details of a CT, and then the patient problem is carefully and accurately found.

The invention discloses a self-adaptive regulation and control method and system for response knowledge density in medical dialogues, and belongs to the technical field of artificial intelligence and man-machine dialogues. The invention aims to solve the technical problem of low doctor-patient communication efficiency caused by fixed or uncontrollable professional level of response content of an existing medical dialogue system. The method comprises the following steps: firstly, constructing a professional dictionary based on a medical field corpus, and calculating a knowledge intensity score of each medical entity in the professional dictionary, so as to establish a knowledge density quantification method for dialogue response; secondly, acquiring multi-round dialogue history and current questions of a user, extracting dialogue context features, historical knowledge density sequence features and medical entity features from the history and the current questions, and predicting target knowledge density which should be reached by next response by fusing the features; and finally, taking the predicted target knowledge density as a constraint condition, and combining a retrieval enhancement generation (RAG) framework and a large language model (LLM) to generate a natural language reply with controlled knowledge density.

The application provides an assisted decision-making method and device for stereotactic electroencephalogram preoperative evaluation, which solidifies clinical consensus and research results into clear rules and logic mapping, uniformly processes the input standardized data, reduces subjective evaluation differences, improves the consistency and reliability of the evaluation results, and further improves the evaluation efficiency. In addition, not only the indications of stereotactic electroencephalogram are given in the output, but also the stereotactic electroencephalogram scoring results and the postoperative seizure-free probability interval are provided, so that the treatment decision-making is transferred from 'experience-driven' to 'evidence-driven', which is helpful for doctor-patient communication and the development of individualized treatment plan.