291 results about "Patient information" patented technology

The invention provides an intelligent infusion system and an intelligent liquid control method based on database dynamic feedback regulation and control, and relates to the technical field of medical equipment intelligent control. The system comprises an infusion terminal execution module, a multi-parameter monitoring module, a data transmission module, a central control server module and a dynamic database module; patient information, an infusion scheme, a threshold range and multi-dimensional data of historical records are stored through the dynamic database module, the central control server module calls the data and compares the data with real-time physiological parameters and infusion state parameters collected by the multi-parameter monitoring module for analysis, and the target infusion speed is calculated. Early warning is carried out according to the target infusion speed and the real-time monitoring parameters, accurate monitoring of the regulation and control parameters and the individual condition of the patient is ensured, the infusion speed is always in the optimal range adaptive to the physiological state of the patient, and the infusion adverse reaction caused by parameter errors and exceeding the physiological range is avoided.

Disclosed is a system and method for standalone automated patient referral management. The system comprises an intake module that accepts and processes referrals from diverse referral communication channels as entry points for patient referrals. A processing module undertakes the analysis of patient information to pinpoint a healthcare provider based on a healthcare need, a preference, and a schedule availability. A scheduling module confirms the appointment, and engages in dynamic three-way communication between the patient, the referring entity, and the healthcare provider. A feedback module dispatches feedback to the referring entity, offering a report on an outcome of the appointment. A natural language processing (NLP) module extracts information from conversational speech. The system utilizes algorithms to match patients with the healthcare providers based on criteria including specialty, availability, and patient preferences. A feedback module communicates with the originating EHR systems and provides updates to maintain continuity of care.

The invention discloses an emergency pre-examination grading system and method based on collaborative decision of a large language model and a tree model. The method comprises the following steps: constructing a data set according to patient information and screening data; training an initial random forest model based on the data set, generating a basic decision rule, mining and extracting high-frequency features based on association rules, and combining to obtain a candidate rule pool; constructing a cue word structure adaptive to the field, driving LLM to complete rule correction, and forming a correction rule set; performing multiple rounds of rule random division and rule combination generation based on the correction rule set, and then screening out an optimal rule; and on the basis of a specific scene, the expert rule and the corrected optimal rule are fused, matching is carried out on patients, and emergency pre-examination grading is realized. According to the method, the interpretability is improved while the grading accuracy is improved, and the problem of poor cross-courtyard generalization of a machine learning model is effectively solved. The generalization ability of the rule is remarkably improved, and the method is adaptive to a multi-center combined diagnosis and treatment scene.

The invention discloses a machine learning-based intra-operative bleeding risk prediction method and device for spinal surgery. The machine learning-based intraoperative bleeding risk prediction method for spinal surgery comprises the following steps: acquiring information of a patient to be predicted; obtaining a trained hemorrhage risk prediction model; and inputting the information of the patient to be predicted into the trained massive hemorrhage risk prediction model so as to obtain a prediction result. According to the method, the high-precision prediction model is trained through large-scale patient data (including basic information, operation parameters, blood indexes and the like), so that the accuracy and the stability of intraoperative SBL risk prediction are improved. And a Cell Saver use suggestion based on a risk threshold is provided, and blood resource allocation is optimized. Clinical decision-making efficiency is improved through an automatic tool, blood transfusion related complications (such as infection and immune response) are reduced, and patient prognosis is improved.

The invention provides a bone tumor fine-grained classification model training and classification method and device, and the method comprises the steps: constructing a multi-modal positive sample containing global / local positive lateral X-ray images, lesion attributes and patient information, and removing a false negative part in combination with text semantic similarity to construct a high-quality negative sample; global / local image features are extracted through double image encoders, lesion attribute keywords are converted into'entity-translation-existence 'triples based on a medical knowledge base, and basic information of a patient and global / local semantic features of lesion attributes are extracted through a text encoder; infoNCE contrast loss is constructed for global images and global semantics based on contrast learning, global image-text feature alignment and local image-text feature alignment are realized in combination with a local mutual information loss and classification loss training model calculated based on a DV variational formula, medical term semantics are deeply combined, the training stability is improved, and the training efficiency is improved. The accuracy and robustness of bone tumor subtype classification are remarkably improved, and reliable support is provided for clinical precise diagnosis.

The invention discloses a rehabilitation medical assessment management system based on dynamic multi-scale adaptation and automatic calculation, and particularly relates to the technical field of medical assessment management. The assessment management system comprises a patient information acquisition module, a dynamic scale adaptation module, an automatic data acquisition and calculation module, a data analysis and report generation module, a rehabilitation management module and a database storage center, and the patient information acquisition module is used for acquiring patient information and storing the acquired information in the database storage center. According to the rehabilitation medical assessment management system based on dynamic multi-scale adaptation and automatic calculation, through dynamic multi-scale adaptation, the most suitable assessment scale combination can be selected according to individual differences and rehabilitation stages of patients, the rehabilitation conditions of the patients are comprehensively and accurately reflected, and the accuracy of assessment results is improved.

The invention discloses an intelligent outpatient service guidance and triage management method and system based on artificial intelligence. The method comprises the following steps that patient information, symptoms and outpatient service data are collected to generate triage input; constructing a triage optimization model based on the input, setting waiting time, path cost, load rate and priority satisfaction degree as targets, and setting a time window, resources and dependency constraints; an improved squirrel search algorithm is initialized, a population code is adopted to represent a distribution scheme, and a fitness function is established; updating the candidate scheme according to a fitness function in iteration; repairing and locally optimizing the updating scheme; when the operation data fluctuates, self-adaptive adjustment is triggered, and updating is continued; and when the fitness function converges or the iteration upper limit is reached, outputting an optimal triage scheme, including departments, time windows and path allocation, and executing incremental optimization when the patient arrives or the shift arrangement is changed. The triage efficiency is improved, the load is balanced, and the requirements of priority patients are met.

The invention provides a distributed rehabilitation data analysis method based on federal learning, and the method comprises the steps: obtaining an encrypted rehabilitation medical data abstract, and obtaining an anonymized patient feature data set suitable for multi-party cooperation; performing learning model training on the anonymized patient feature data set in the local environment to obtain a shared global model parameter set; simulating distribution characteristics of rare disease cases based on parameters, performing adversarial data generation processing on the global model parameter set to obtain a patient information supplementary data set, and fusing real patient rehabilitation data to obtain a comprehensive rare disease case characteristic representation set; according to the comprehensive rare disease case feature representation set, a patient data distribution equilibrium index is calculated, a final distributed patient rehabilitation medical data analysis result is obtained, the problem of data insufficiency under privacy protection is effectively solved, the comprehensiveness and accuracy of rare disease case feature representation are improved, and the patient rehabilitation medical data analysis efficiency is improved. And comprehensive medical data analysis of multi-mechanism safety cooperation is realized.

A method of sleep disordered breathing care using specific patient information for a first patient to determine a probability of a particular collapse pattern for an upper airway and / or a therapy outcome, and based on the determination, performing further evaluative procedures and / or implementing therapy.

This invention discloses a method, apparatus, device, and storage medium for medication risk assessment during pregnancy, relating to the interdisciplinary fields of medical information technology and clinical pharmacy. The method includes: receiving patient information and proposed medication regimen information, whereby the patient information includes gestational age and information on multiple comorbidities; calling the corresponding gestational age adaptive risk weight matrix based on gestational age, weighting the patient features to generate a weighted feature vector, and inputting this vector into a machine learning model to obtain an initial medication risk score; based on a constructed heterogeneous knowledge graph, using entities corresponding to multiple comorbidities and medication regimen information as query starting points, performing multi-hop reasoning to determine the existence and severity of conflicting paths; if a conflicting path is detected, revising the initial medication risk score according to the severity of the conflict to generate a final risk score. This application enables individualized, interpretable, and evidence-based intelligent risk assessment of proposed medication regimens for pregnant women with multiple comorbidities.

A distributed computer system comprises one or more patient system, configured to be operated by patients seeking provider services, a front-end web server to interface to the one or more patient system, a back-end server system coupled to the front-end web server to receive patient information, a healthcare provider system that provides information about a procedure needed by a patient unable to pay for the procedure, providing the information to the back-end server system, and a donor computer system, for accepting and receiving messages from the back-end server system about funding patient procedures.

This disclosure relates to an evaluation method, system, and electronic device for a medical question-and-answer system. The method involves inputting patient information into the system to obtain a predicted diagnosis; inputting the actual diagnosis and the predicted diagnosis into a medical entity recognition model to obtain a first medical entity and a second medical entity; calculating the similarity of the feature vectors of these entities with standard entries in a standard medical terminology database to obtain a first standard entry most similar to the first medical entity and a second standard entry most similar to the second medical entity; matching the second standard entry with the first standard entry; and evaluating the performance of the medical question-and-answer system based on the matching results. Thus, when evaluating a medical question-and-answer system, even when the predicted diagnosis and the actual diagnosis are inconsistent or have logical inclusion relationships, the system can effectively resolve the complex logical connections between medical terms, significantly improving the accuracy of the evaluation.

A system is provided.SOLUTION: A system comprising: means for a user to create an account and upload clinical information and health history; means for a healthcare provider to securely access and proactively review patient information; and means for a user and a healthcare provider to share clinical data online.SELECTED DRAWING: Figure 1

The application discloses a medical care data intelligent evaluation system based on multi-modal data fusion and belongs to the technical field of medical care. The application solves the problems that the existing technology has subjective bias, the evaluation results of different medical staffs for the same patient can be different, and the medical data source is single and cannot comprehensively reflect the patient information. Through the real-time feedback of nursing staff, the frequency of model update is dynamically adjusted by combining the frequency of abnormal data in the feedback results in a period of time, so as to reduce the misjudgment caused by model bias; the abnormal data in the multi-modal data is identified by calculating Z-score, the time series data is set as high priority, and the abnormal data in the high priority is preferentially fed back to the nursing staff, which not only improves the response speed of the nursing staff in the face of abnormal conditions, but also optimizes the allocation of nursing resources, so that the nursing staff can more timely handle the emergency, thereby improving the nursing quality and patient safety.

This invention discloses a method and apparatus for assessing rabies exposure risk. The method includes: generating a patient information set based on the patient's answers to questions about rabies exposure; analyzing the patient information set using a pre-trained question-and-answer analysis model, and acquiring the patient's wound visual content if the analysis result exceeds a pre-set threshold; assessing the rabies exposure risk based on the wound visual content and the patient information set, thereby enabling a more scientific and accurate rabies exposure risk assessment, providing corresponding treatment suggestions, and generating patient medical records for physician reference, thereby improving physician work efficiency and providing patients with safer, more accurate, and faster medical services.

1. Name of the product in this design: Graphical User Interface for Patient Information Operation and Management of Electronic Device. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key points: the front view. 5. Purpose of the graphical user interface: A graphical user interface used to run software programs and manage patient information operations on a multi-device platform for dental digital imaging. 6. Human-computer interaction method of graphical user interface: The main view is the display interface of patient information. Clicking the "Add Patient" icon on the right side of the search bar in the upper left corner of the main view will enter the interface change state diagram 1; clicking the "Show All Information" button in the interface change state diagram 1 will enter the interface change state diagram 2.

The application discloses to the medical technical field, specifically for a kind of for monitoring patient to the execution system and method of medical order, include: medical staff management module, for making medical staff to log in, and it is managed;Patient information management module, for making patient to log in, and it is managed;Medical order management module, for medical order information is entered, classified management;Remind module, for medical staff and patient are reminded according to medical order information;Execution monitoring module, for the execution of medical order information is monitored;Statistical record module, for the data monitored by execution monitoring module is statistically recorded, and can be recorded data is fed back to medical order management module in.Judicious use of the application can reduce the occurrence of medical errors and accidents, through the reminding and monitoring functions of the system, reduce the medical risk caused by the patient not executing the medical order on time or executing it incorrectly, improve the safety and quality of medical services.

Aspects of the inventive concepts involve a system and a method that include or use an AI overlay that applies models to interpret content from an electronic health record (EHR) display and generate insights related to the displayed EHR. Healthcare practices access an EHR system comprising a plurality of patient EHRs. The practice also has access to an application linked to at least one secondary source of patient information, such as an accountable care organization (ACO) application. The AI overlay implements vision or image-based processing of a displayed patient EHR to generate the insights from the secondary source of patient information, such as a summary of relevant patient data created since the patient's last visit to the practice (e.g., payer claims, pharmacy and lab information, admission, discharge and transfer events), and to provide auxiliary information, such as potential diagnosis and / or suggested care actions, within the screen displaying the EHR.

This invention provides an information processing device, information processing method, information processing system, and program that enable centralized management of patient information by linking an electronic medical record database with databases from multiple customer acquisition media, and that utilize this information to propose medical services. [Solution] The information processing system includes a reception unit that receives patient needs, a patient information acquisition unit that acquires patient information including basic patient information and medical visit history information, a medical information acquisition unit that acquires medical information including medical treatment information and prescription details from medical institutions, an information centralized management unit that centrally manages patient information and medical information, a prompt generation unit that outputs generation commands based on the centrally managed patient information and medical information, and a proposal information generation unit that generates proposal information including medical services, medical institutions, treatment details, etc., suitable for the patient based on the generation commands.

The invention relates to the technical field of medical treatment, in particular to a chronic infectious disease patient management system, which comprises a registration module used for registering identity information, body information, chronic infectious disease type information, chronic infectious disease condition information and other medical history information of a patient; the information database is used for storing disease condition characteristic data, historical treatment scheme data and precautions data of the chronic infectious diseases; the management platform comprises a doctor work station, a patient information station and a feedback module, and the doctor work station is used for obtaining cooperative information of a treatment scheme; the patient information station is used for generating a medicine taking scheme, a doctor seeing scheme and life precautions, and data of the patient information station is sent to the patient terminal, so that a patient obtains treatment and life related information; and the feedback module is used for inputting discomfort information of the patient. The treatment management efficiency of a hospital on the chronic infectious disease patient can be improved, and the chronic infectious disease patient can feed back own conditions in time.

The embodiment of the invention provides a multi-modal fusion medical intelligent reasoning method and device, and the method comprises the steps: extracting the structural deep features of a medical image, and obtaining the medical visual features; performing semantic coding on the patient information to obtain medical text features; performing feature alignment and weight optimization on the medical text features and the medical visual features in a fusion layer to realize collaborative characterization of the medical visual features and the medical text features; and completing output of disease prediction, risk assessment or auxiliary diagnosis through a multi-mode self-attention mechanism based on the collaborative characterization.

The invention provides an intelligent processing system for hospital medical record informatization management, and the system comprises a data storage module which is used for carrying out the butt joint with an existing information system of a hospital through an API gateway, constructing an original database through cloud object storage, and carrying out the centralized storage of structured medical record data and unstructured medical record data; and the term standardization module is used for mapping the medical terms in the medical record to a national standard medical term set. According to the method, automatic analysis, recognition and relation extraction are performed on the text information in the medical record through the medical natural language processing engine, and the text information is filled into the structured data model, so that the medical record information is standardized, and a good basis is provided for clinical scientific research and hospital management. By integrating patient information, historical medical records and medical knowledge maps, diagnosis suggestions and safe medication early warning are provided for doctors in the diagnosis and treatment process, the scientificity of clinical decision making is enhanced, medical risks are reduced, and patient safety is improved.

We provide the system. [Solution] A means of automatically generating treatment policies and care plans by analyzing patient information using generative artificial intelligence, A method for converting visit records into digital data using handwriting recognition technology and centrally managing the information, A means of automatically generating answers to questions outside of one's area of ​​expertise based on analyzed information, We protect information in secure data centers and implement measures to ensure the strict management of highly confidential information. A system that includes this.

The embodiment of the application discloses a blood collection tube sorting method, which is applied to a blood collection tube sorting device and comprises the following steps: scanning an identification code on a blood collection tube through a signing and receiving scanning unit to obtain patient information associated with the blood collection tube; placing the scanned blood collection tube into any idle position in a blood collection tube storage bin; in response to the blood collection tube being placed, binding and storing the patient information and position information of the idle position; receiving a pop-up instruction from an external system through a data communication unit, wherein the pop-up instruction contains target patient information or target test category information; analyzing the pop-up instruction, and matching one or more target positions associated with the target patient information or the target test category information in the pop-up instruction based on the stored binding relationship; and controlling the target position to perform a pop-up action to pop up the corresponding blood collection tube stored in the target position. According to the application, a specific test tube can be accurately and automatically positioned and popped up according to an instruction, and the sorting precision and efficiency are improved.

The invention belongs to the field of prediction, and particularly relates to a drainage tube blockage risk prediction method and system, specifically, historical flow data and patient physiological parameters in a preset time window are obtained; extracting a flow macroscopic fluctuation degree, screening a matched patient subgroup from the reference database according to the similarity between the patient information and the flow fluctuation degree, constructing a multidimensional normal distribution model in a normal state, and calculating a mahalanobis distance between a current patient feature and the center of the model to obtain a baseline deviation degree; performing time-frequency analysis on the weighted flow sequence to obtain an energy spectrum, calculating physiological association weights of different frequency bands by combining with a blood coagulation function index, and further extracting energy distribution of a key frequency band in the weighted energy spectrum as a flow fluctuation feature; and inputting the baseline deviation degree and the flow fluctuation characteristics into a pre-training model, and outputting a drainage tube blockage risk value.

The image shown in the figure is a graphical user interface for a patient app and is displayed when the user is giving an injection or other procedure. The figure is an image for indicating a body part or specific body part, such as a specific body part that has been injected, a specific body part with a problem, or multiple specific body parts that need to be emphasized. The figure is an image for a patient app showing the front of a woman's body, indicating specific divisions into body parts. Two of the body parts are highlighted. Additionally, the figure shows back, right, left, top, and bottom views of a computer with patient information exchange capabilities that displays the above image.

1. Name of the product in this design: Graphical User Interface for Blood Sample Analysis of Electronic Device. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The product carrier uses a conventional design, omitting the rear view, left view, right view, top view, and bottom view. 6. Uses of the graphical user interface: for data analysis functions such as blood cell counting, white blood cell differential, and hemoglobin concentration measurement. 7. Human-computer interaction method of graphical user interface: The main view is the blood sample information and parameter results interface. Clicking "Start Test" on this interface will enter the change state diagram 1 to display patient information. Clicking "Next" on this interface will enter the change state diagram 2 to display test items. Clicking "Next" on this interface will enter the change state diagram 3 to display test status. 8. Other situations requiring explanation: In the change state diagram 1, the light yellow covered area represents the content screen, and the design for which protection is sought does not include color.

The invention relates to the field of parking lot planning, in particular to a dynamic planning method for parking lot facilities, which comprises the following steps: enabling patient information associated with a patient vehicle entering a hospital parking lot to pass through a neural network mapping model based on a multi-layer perceptron architecture to generate a parking lot facility patient utilization index; calculating an idle parking space criterion score based on the hospital entrance distance, the barrier-free facility distance and the parking space environment characteristics of the current idle parking space of the hospital parking lot; based on the parking lot facility patient and the vacant parking space criterion score, generating a vacant parking space patient comprehensive matching score through an analytic hierarchy process; and determining a recommended parking space based on the comprehensive matching score of the idle parking space patient, and carrying out parking planning and guiding on the patient vehicle based on the recommended parking space. According to the invention, multi-element personalized demands of different patients can be accurately identified, the adaptation degree of the parking space to the patient is comprehensively covered through the analytic hierarchy process, and intelligent parking planning of the hospital parking lot with the patient as the center is realized.

The invention relates to the field of smart wristbands, and discloses a smart wristband data synchronization method and system for preoperative safety check, which are used for improving the accuracy of preoperative safety check. The method is applied to a system comprising a wrist strap, a ward reader-writer, a transfer reader-writer and an operating room reader-writer, and comprises the steps that the ward reader-writer generates a first synchronization instruction containing patient information and writes the first synchronization instruction into the wrist strap to initialize the wrist strap, the transfer reader-writer reads wrist strap data during transfer, generates a transfer verification record and writes the transfer verification record, and the wrist strap enters a transfer confirmation state; the operating room reader-writer reads data at an entrance to generate an operation checking list, multiple parties check together before skin cutting, and the handheld read-write device writes a confirmation result into the wrist strap to enable the wrist strap to enter an operation ready state to authorize an operation. Through a hierarchical data structure, multi-link verification and an emergency processing mechanism, accurate synchronization and safety of data are ensured, the efficiency and accuracy of preoperative safety check are improved, and operation safety is ensured.

The utility model discloses an intelligent measuring instrument for water content of medical food, which comprises a body, the body is divided into a left large area and a right large area, namely a weighing area and an intelligent communication platform, a '+' key, a '-' key and a confirmation / shortcut key are arranged below the intelligent communication platform, and a scanning pen is inserted in the right upper part of the intelligent communication platform. A display window is arranged on the upper portion of the front face of the scanning pen, a food scanning key and a patient wrist strap bar code or two-dimensional code scanning key are arranged on the lower portion of the front face of the scanning pen, and a camera scanning area is arranged on the back face of the scanning pen. The medical intelligent measuring instrument for the water content of the food can intelligently identify the type of the food, automatically calculate the water content of the food, and can be bound with patient information, so that the water intake of the patient can be accurately controlled.