187 results about "Medication information" patented technology

The invention discloses a multi-source data-based medical temperature-adjusting atomization drug delivery system for the pneumology department, relates to the technical field of medical temperature-adjusting atomization drug delivery, and aims to solve the problems that the atomization effect is poor and the atomization process is not intelligent. By adjusting atomization power in different respiratory cycle stages, monitoring airway abnormity and respiratory fluctuation in real time to correct parameters and adapting temperature control and atomization components as required, medicine waste and airway stimulation can be reduced, variables such as air source fluctuation and liquid medicine viscosity can be coped, atomization stability is guaranteed, administration efficiency and safety are improved, and the method is suitable for large-scale popularization and application. The requirements of patients with weak respiratory functions are met, the basic information unit is linked with the medical history of the patients and the medicine information to determine the safe temperature, the atomization rhythm is matched in combination with the respiratory parameters, temperature deviation caused by information dispersion can be avoided, manual errors are reduced, and the medication safety is improved.

The invention discloses a graph contrast learning drug recommendation method and system fusing clinical features, and relates to the technical field of intelligent medical treatment. The method comprises the following steps: acquiring a clinical medical record database of a patient, extracting diagnosis, operation and medicine information of each treatment, and constructing a historical medical record heterogeneous graph of the patient; in heterogeneous graph propagation, a structure guidance matrix (mask) is generated by using a conditional probability matrix to guide node connection and attention generation, and the expression stability is improved in combination with Hellinger distance constraint; in the aspect of drug modeling, from three perspectives of a drug co-occurrence network, an interaction network and a molecular structure diagram, representation consistency and interpretability are improved through diagram contrast learning. On the basis, four types of loss function optimization recommendation results are designed, and a medicine combination with the lowest comprehensive medicine use risk is screened out for clinical auxiliary diagnosis and treatment. According to the method, multi-view medical knowledge is fused, efficient drug combination screening and recommendation are realized, meanwhile, the drug interaction risk is reduced, and the recommendation accuracy and safety are improved.

A device may include a data acquisition layer comprising a patient information collector and a drug information collector, each operable to ingest patient-specific clinical data and drug-specific data, respectively. A device may include an analysis engine comprising a multi-criteria ranking engine configured to compute composite suitability score for candidate medications by weighting one or more of medication efficacy, medication safety, medication resistance, medication cost, or patient-specific coverage factors. A device may include a presentation layer comprising a summary dashboard configured to display a ranked medication recommendation set produced by the analysis engine.

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

The invention provides a drug recommendation method and system based on multi-task learning and retrieval enhancement, and relates to the technical field of intelligent medicines.The method comprises the steps that an electronic medical record data set and external knowledge data are preprocessed, diagnosis, operation and drug data in files are vectorized, and multi-task formalized input is constructed; constructing a drug recommendation model based on multi-task learning and retrieval enhancement, wherein the drug recommendation model comprises a multi-task learning module, a retrieval enhancement drug prediction module and a multi-task aggregation module; and obtaining a drug recommendation result by using the drug recommendation model. According to the method, a multi-task representation learning module is introduced into a deep convolutional neural network model, and patient representation is enriched by introducing clinical classification software code knowledge, so that the influence of data distribution imbalance on model performance is relieved. Meanwhile, a retrieval enhancement prediction module is designed to model historical drug information of a patient, and the prediction performance of the model is improved by mining valuable information in historical drugs.

The invention provides a medicine information management method and system based on an intelligent medicine cabinet, and belongs to the technical field of information management, and the method comprises the steps: carrying out the fusion processing of multi-modal data collected by a multi-modal sensor group in the intelligent medicine cabinet, and obtaining a medicine recognition result; based on the matching degree of the medicine identification result and a preset medicine storage rule in the medicine cabinet, the storage positions of all medicines in the intelligent medicine cabinet are adjusted to obtain a first adjustment result, and the first adjustment result is stored; and managing the storage information of the medicine based on the first adjustment result and the historical adjustment result. According to the medicine information management method and system based on the intelligent medicine cabinet, the storage position of the medicine can be adjusted, redundant space is released, and energy is saved.

The invention relates to the technical field of medical evaluation, in particular to a basic drug use tendency evaluation method and device, a medium and a product. The method comprises the following steps: acquiring a disease type, a patient specific attribute and medication information of a target patient; according to a standard evidence-based intensity database, determining intermediate evidence-based intensity of each drug type in the medication information in disease types, patient specific attributes and medication schemes; obtaining attribute information of a target hospital seeing a doctor by the target patient, and adjusting the intermediate evidence-based intensity based on the attribute information to obtain the actual evidence-based intensity of the target patient; determining the average standard evidence-based intensity of each base drug type corresponding to the disease type; and calculating a difference value between the actual evidence-based intensity and the average standard evidence-based intensity as a base drug use tendency degree, and generating a drug use rationality evaluation result for the target patient according to the base drug use tendency degree. According to the invention, multi-dimensional evaluation can be carried out on the drug use rationality of the patient, and the accuracy of the evaluation result is improved.

The invention relates to the technical field of intelligent medical treatment, and discloses a control method of an intelligent medicine box and the intelligent medicine box, and the method comprises the following steps: the intelligent medicine box reads configuration data in a configurator, and carries out medication plan configuration on the intelligent medicine box based on the configuration data; when the medicine taking reminding time corresponding to the medicine taking plan arrives, displaying and prompting the medicine taking information through a display screen of the intelligent medicine box, performing sound prompting on the medicine taking information through sound output equipment of the intelligent medicine box, and performing light prompting through a medicine storage bin matched with the medicine taking information in the intelligent medicine box; medicine taking information corresponding to the intelligent medicine box is obtained, and a medicine taking record is determined based on the medicine taking information; and generating a medicine taking report according to the medicine taking plan and the medicine taking record.

The invention, which relates to the technical field of the medical care information equipment, discloses an infusion inspection Bluetooth prompter comprising a Bluetooth prompter module, a PDA terminal module, an information interaction module and an intelligent prompting module. The Bluetooth prompter module is made of a medical-grade material, is provided with a shell with an adjustable buckle, is internally provided with a power supply component which is used for Bluetooth communication, unique identification, state indication and wireless charging, and is used for being mounted on an infusion tube and communicating with an external device PDA (Personal Digital Assistant). Personal information of a patient, information of a medicine being infused and unique identification information of the corresponding Bluetooth prompter module are accurately associated and bound through the information interaction module, a one-to-one corresponding relation is formed and is properly stored, and the situation that in the complex environment that multiple persons are infused at the same time, the infusion efficiency is greatly improved is effectively avoided. Nursing errors caused by untimely inspection of nursing infusion and infusion pumps, leakage of infusion inspection and simultaneous operation of various kinds of infusion or infusion pumps due to information confusion are avoided.

A deep learning method, system, device, and medium for drug recommendation are disclosed. The method includes: establishing drug representations; establishing patient representations; and generating drug prediction results. These three steps first utilize an RNN to establish patient representations, then integrate patient diagnostic information, treatment information, and historical medication information, employing dual attention to assign weights at different element levels in patient history and single visits, and finally using a neural network for drug recommendation. Furthermore, patient similarity can be incorporated for drug recommendation, effectively improving the accuracy and safety of drug recommendations. The system, device, and medium, through the storage and utilization of relevant functional modules, realize drug recommendation using deep learning methods. As a medical auxiliary tool, it can significantly improve the discrimination quality and work efficiency of pathologists.

This invention belongs to the field of medical information technology and discloses an intelligent detection system and method for drug compatibility risks. The method includes: establishing and maintaining a multi-dimensional drug compatibility knowledge base based on a graph database; automatically acquiring drug information to be executed and retrieving the target patient's hospital-wide medication history through a standardized medical information interaction interface; calculating the estimated blood drug concentration of each historical drug at the current moment based on a pharmacokinetic compartment model to construct an effective drug list; performing combination analysis on the drugs to be executed and the effective drug list, and executing a multi-level compatibility risk detection algorithm, wherein the detection algorithm includes multi-drug combination cascade reaction risk prediction based on a graph neural network model; and generating and outputting graded early warning information containing risk levels and specific descriptions based on the detection results. This invention achieves dynamic, accurate, and real-time detection of complex multi-drug combination risks, significantly improving medication safety.

To highly accurately predict effects of a drug administered to a subject.SOLUTION: A prediction system includes an acquisition unit and a prediction unit. The acquisition unit acquires subject information including a medical image showing bones of a subject. The prediction unit outputs drug prediction information regarding effects of drugs acting on at least one of bone formation and bone absorption, using a drug effect prediction model for predicting effects of drugs on the basis of input information including the subject information and drug information on drugs.SELECTED DRAWING: Figure 3

This invention discloses an intelligent batch dispensing device for mother liquor powder, comprising: a dispensing frame assembly including a first accommodating part and a second accommodating part; a frame rotation assembly including a rotation drive assembly and a rotation mounting base; a first feeding mechanism including a powder bottle feeding assembly and a powder bottle translation assembly; and a second feeding mechanism including a mother liquor bottle feeding assembly and a mother liquor bottle translation assembly. According to this invention, the intelligent batch dispensing device for mother liquor powder saves dispensing space due to the vertical arrangement of the first and second accommodating parts; a drug detection device is provided to read and identify the fixture and drug information; and the frame rotation assembly drives the rotation of the dispensing frame assembly, enabling the powder bottle translation assembly or the mother liquor bottle translation assembly to dispense the drug quickly and accurately, thereby improving dispensing efficiency.

A system is provided.SOLUTION: A system comprising: means for receiving clinical test data and medical record information; means for obtaining drug information from a drug database; means for classifying data using a specific algorithm and extracting features; means for recommending optimal drugs based on the features; and means for generating and transmitting a recommended drug list.SELECTED DRAWING: Figure 1

The invention provides a risk determination method and device, equipment and a storage medium, and relates to the technical field of artificial intelligence. In some embodiments of the invention, health state information, medication information, time biological characteristics and drug molecular map structural characteristics are input into a health risk prediction model to obtain a health risk prediction result; under the condition that the health risk prediction result is that the risk exists, determining medication adjustment information according to medication information and a medication dosage rule; sending the health risk prediction result and the medication adjustment information to an early warning terminal, so that the early warning terminal displays the risk prediction result and the medication adjustment information; according to the invention, based on the health state information, the medication information, the time biological characteristics and the drug molecular map structural characteristics of the user, the health risk prediction model is utilized to accurately predict the health risk, the health risk prediction efficiency is improved, and the health risk prediction accuracy is improved.

The present application relates to the technical field of intelligent health management, and particularly relates to a multi-modal intelligent health management method and system based on continuous memory, comprising: multi-modal preprocessing of voice, text, images and sensor data input by a user to obtain multi-modal health data; adopting a hierarchical continuous memory storage strategy to obtain a long-term memory item set through three-layer memory architecture step-by-step compression processing; constructing a health memory graph network based on a memory consolidation and association integration strategy; adopting a global health portrait incremental update and memory portrait driven parameter mapping strategy to map a health portrait into a role parameter vector; adopting a memory retrieval and knowledge graph enhanced reasoning strategy to combine historical memory recall, knowledge graph reasoning and drug information management results to generate and output a health management response. The present application realizes the organic unification of continuous memory accumulation, personalized accompaniment and intelligent health reasoning for a health management scene.

The invention provides an intelligent remote interaction method and platform for the neurology department. The method comprises the following steps: responding to a multi-terminal inquiry mode corresponding to a patient terminal, and establishing a multi-terminal inquiry interface based on the patient terminal and a corresponding preset number of doctor terminals with idle attributes; responding to online inquiry of any doctor end based on the multi-end inquiry interface, converting an inquiry state corresponding to the doctor end from a shielding state to an access state, and performing data sharing corresponding to each doctor end on inquiry data determined based on the online inquiry; and responding to the completion of the online inquiry, performing information comparison on the obtained prescription information corresponding to each doctor terminal, and determining medication information corresponding to the patient terminal based on a comparison result. The inquiry efficiency is at least improved.

The invention relates to the technical field of medical instruments, in particular to an intelligent medicine trolley and a control method. The invention provides an intelligent medicine trolley which comprises a trolley body, a displayer and a plurality of drawer medicine boxes, the drawer medicine boxes are arranged in the height direction of the trolley body, the drawer medicine boxes are opened in a sliding mode towards the side wall of the trolley body, each drawer medicine box comprises a drawer body and a plurality of medicine storage cells, each drawer body is provided with a containing space, and the containing spaces are arranged in the containing spaces. The plurality of medicine storage grids are arranged in the accommodating space in an array manner; and the display is used for displaying medicine information and patient information of the plurality of medicine storage grids. According to the technical scheme, manual checking errors of medical staff are reduced, and the probability of wrong medicine dispensing is greatly reduced.

The invention relates to the technical field of artificial intelligence and medical health, and discloses a medicine identification and confirmation method and device, computer equipment and a storage medium. The method comprises the steps that when a user gets close to a medicine storage area or takes medicine in the hand, a medicine image is acquired; performing medicine identification on the medicine image by adopting a visual language model to obtain an identification result; acquiring a list of medicines to be taken by the user in the current time period; matching according to the identification result and the drug list to obtain a matching result; when the matching result is that the two are consistent, acquiring information about whether the user replies to take the medicine or not to obtain to-be-confirmed information; judging whether the medicine taking intention of the user can be determined or not according to the to-be-confirmed information; if not, pushing a medicine taking suggestion request to the caregiver terminal, so that the caregiver terminal determines whether to take medicine or not; and recording medication information. By implementing the method provided by the invention, the safety and intelligent adaptability of medication and the cooperative efficiency of caregivers can be improved, and traceable data support is provided for health management.

We provide the system. [Solution] A means of acquiring voice input and converting it into text data, A processing means that analyzes text data to identify user requests, A means for generating appropriate information based on a request and providing it to the user through an information generation means, Means having a function to perform operations on an information processing device when remote operation is permitted, To support the elderly, we provide a voice interface and a means to assist them in checking medication information and schedules. A system that includes this.

Embodiments of the present disclosure relate to the technical field of medical data processing, and specifically to a nutritional preparation medication information processing method, device, equipment and medium. The main steps of the foregoing method include: in response to an audit request for a medication prescription, retrieving and obtaining clinical diagnosis data corresponding to the medication prescription, extracting a disease keyword from the clinical diagnosis data, matching and analyzing the disease keyword with preset parenteral nutrition indication information to obtain a matching result, when the matching result indicates a matching success, auditing the medication prescription according to a first medication standard, and when the matching result indicates a matching failure, determining a second medication standard according to a nutritional risk score, gastrointestinal disorder information and a preset decision matrix, and auditing the medication prescription according to the second medication standard. The foregoing method can improve the efficiency of prescription auditing, improve the accuracy and rationality of the nutritional preparation medication prescription audit result, and reduce the medication risk of the nutritional preparation medication prescription.

The embodiment of the invention relates to the technical field of data processing, in particular to an out-of-specification medication information processing method, device, system and equipment. The method mainly comprises the steps of updating an auditing mark of a first prescription to a release mark representing that auditing is passed when a filing state mark represents that filing is passed, and updating the auditing mark of the first prescription to an interception mark representing that auditing is not passed when the filing state mark represents that filing is not passed, and when the record state mark shows that the first prescription is in the record, starting transition period countdown for the first prescription, and updating an auditing mark of the first prescription to a temporary passing mark so as to prompt temporary medication according to the first prescription during the transition period countdown. By the adoption of the method, automatic auditing of the medicine prescription exceeding the specification can be achieved, and the prescription auditing efficiency is improved while the safety of the medicine prescription exceeding the specification is effectively guaranteed.

An infusion pump includes a multi-tab graphical user interface (GUI) that directs a user to the next tab for selection during programming of the infusion pump. The GUI includes tabs corresponding to parameter categories for input (e.g., patient information, medication information, infusion information). When inputting data, an operator (moving from left to right) selects a tab and inputs necessary parameters until all necessary parameters have been input completed. Due to the number of items presented under a particular tab, an operator may not easily see when the operator has entered all necessary parameters and may move to the next tab. Thus, upon completion of the necessary fields, the GUI presents an indicator (e.g., a small triangle) on or near the next tab that guides the operator and accelerates programming when the necessary fields constitute less than the total number of fields.

The invention discloses a pharmacogenomics report generation method and device, a medium and a product, and relates to the field. The method comprises the following steps: in response to the completion of a drug genome experiment of a first object, obtaining experimental result data of the drug genome experiment, and determining experimental result interpretation data based on a first drug gene association database; inputting the experimental result interpretation data, the object attribute information corresponding to the first object, the medical record information and the first medicine information into a pre-trained medication risk assessment model to obtain a medication risk assessment result of the first object; and generating a pharmacogenomics report of the first object based on the medication risk assessment result, the experimental result interpretation data, the object attribute information, the medical record information and the first drug information. According to the technical scheme of the invention, the problems of high threshold and low efficiency of the existing pharmacogenomics report generation are solved, the pharmacogenomics report can be automatically generated, the accuracy of the report content is improved, and the report generation cost is reduced.

The invention discloses a method for symptom information missing detection and a related product, and the method for symptom information missing detection comprises the steps: obtaining a to-be-detected medical record document which comprises at least two disease course records; extracting a semantic vector of a first disease course record fused with semantic information of other disease course records; extracting a potential symptom vector corresponding to symptomatic drug information in the course of disease record; fusing the semantic vector of the first disease course record and the potential symptom vector of the disease course record to obtain a feature vector of the disease course record; and determining the missing symptom information of the medical record document according to the feature vectors of all the disease course records in the medical record document. According to the method, the missing symptom information in the medical record document can be accurately detected.

This invention proposes an intelligent menopausal patient health management platform, comprising a doctor-patient interaction unit, an information processing unit, a pharmaceutical service unit, and a medical terminal. The doctor-patient interaction unit allows patients to conveniently fill in initial diagnosis information, including questionnaire data and medication information, on a mobile terminal, achieving effective collection of information from outside the hospital. The information processing unit can perform structured processing of this information. Based on risk assessment results and medication information, the pharmaceutical service unit can intelligently generate a pharmaceutical service plan including medication rescheduling suggestions, individualized medication guidance, and follow-up reminders. This not only improves the accuracy and safety of medication use but also enhances patient medication adherence through continuous follow-up reminders. The medical terminal provides medical staff with an integrated view of patient information, enabling them to comprehensively understand the patient's initial diagnosis information, system-generated risk assessment results, and pharmaceutical recommendations, and efficiently respond to complex patient questions.

An object of a system according to an embodiment is to efficiently perform automatic generation of a medical document, error detection of a medical bill, and estimation of a medical cost.SOLUTION: The system according to the embodiment includes a medical document generation unit, an error detection unit, a cost estimation unit, a data collection unit, an analysis evaluation unit, and a proposal application unit. The medical document generation unit automatically generates a medical document using the generation AI. The error detection portion detects an input error or inconsistency of a receipt. The cost estimation unit estimates a medical treatment cost based on the treatment plan. The data collection unit collects data such as a medical record, a treatment history, and drug information of a patient. The assay unit analyzes the collected information and calculates a medical fee points. A proposal application part proposes the optimized medical examination plan and applies it to an actual medical examination process.SELECTED DRAWING: Figure 1

The invention discloses an intelligent infusion adjusting system and method for infusion medicine in an operation, and relates to the technical field of intelligent medical treatment. Comprising the following steps: generating corresponding medicine information, breathing state information, hemoglobin information and blood pressure information through a signal acquisition module, obtaining a medical history of a user by utilizing a cloud platform module, preprocessing collected data, eliminating error data, judging the medicine information as a first parameter, and outputting the first parameter. Judging the anesthesia degree of the patient according to the breathing state information of the patient as a second parameter, constructing a feature calculation model, judging bleeding information according to hemoglobin information and the medical history of the user as a third parameter, and generating a blood pressure signal according to a blood pressure standard threshold value and the blood pressure information of the user as a fourth parameter; the medicine infusion condition is comprehensively judged according to the first parameter, the second parameter, the third parameter and the fourth parameter, an infusion signal is formed, and the intelligent infusion module adjusts the medicine infusion rate of a patient according to the infusion signal and adjusts the intraoperative vasoactive medicine. Accurate infusion adjustment of the vasoactive medicine in the operation is achieved.

This invention relates to the field of machine learning technology and proposes a method for recommending research and statistical analysis schemes based on artificial intelligence. The method includes: collecting disease information data matrices and drug information data matrices; obtaining the correlation between each element in the disease information data matrix and other elements; obtaining the hierarchy of each element; obtaining the hierarchy coefficient of each element in the disease information data matrix and drug information data matrix; obtaining the hierarchy change curve of each row of each matrix; obtaining the corrected correlation and correlation feature vector of each row between the two matrices; constructing a neural network based on the disease information data matrix and drug information data matrix; obtaining the pruning degree of each neuron and pruning it based on the data matrix and correlation feature vector in the neurons; training the neural network and performing scheme recommendations. This invention aims to solve the problem that repetitive information affects the learning accuracy of the neural network during the intelligent recommendation process of training schemes through a neural network.

This item is a care management sheet designed to organize the user's medical and treatment history and ensure they receive appropriate care in nursing and medical settings. As shown in the front diagram illustrating the use of this item, the right half of the item contains sections for the user's specific information, emergency contact information, a visual representation of their treatment history, allergy information regarding food and drugs, regular medication information, other precautions, information on care management-related organizations, and the name of the issuing organization. The left half of the item also contains sections for the user's specific information, emergency contact information, medical and treatment history, regular medication information, information on care management-related organizations, and the name of the issuing organization.