92 results about "Medication information" patented technology

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.

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.

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 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.

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 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.

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

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.

The invention discloses a multi-channel knowledge graph attention network drug interaction prediction method, system and device and a medium, belongs to the technical field of graph neural network and drug interaction prediction, and aims to solve the technical problem of how to capture implicit information of drug interaction and improve the accuracy of drug interaction prediction. According to the technical scheme, the method comprises the following steps: constructing a drug knowledge graph; the method comprises the following steps: acquiring drug-chemical entity information, drug-substructure information, drug-drug information and molecular structure information of a to-be-predicted drug; respectively constructing a drug-chemical entity knowledge graph, a drug-substructure knowledge graph, a drug-drug knowledge graph and a molecular structure knowledge graph by using the drug-chemical entity information, the drug-substructure information, the drug-drug information and the molecular structure information; extracting drug characteristics; fusing drug characteristics; predicting a drug interaction event; and predicting and optimizing.

The invention belongs to the technical field of medication safety, and discloses a children medication evaluation method, and the children medication evaluation comprises the following specific operation steps: S1, checking the safety of a medicine: checking the toxicity and adverse events of the medicine according to the medication condition of a child, and particularly paying attention to the special reaction of the child; according to the invention, the body data of the child patient is imported into the evaluation system, so that the body data is compared with the internal information of the data management module, and then similar cases are found and compared with the medication conditions, so that the situation that the cases are far away from the medication conditions is avoided; meanwhile, the medicine use condition of medical staff is checked through the medicine information module and the clinical test management module, the situation that whether medicine conflicts exist or not and potential safety hazards are caused is avoided, the treatment condition is connected through feedback after medicine use of a patient, and data in the data management module are compared; therefore, the medication condition of children can be evaluated conveniently.

The invention relates to the field of drug utilization value analysis, and particularly discloses a data stream-based drug utilization value analysis system, which comprises a data layer, an application layer and a user layer, according to the method, the multi-source drug data stream is constructed and stored in the multi-source drug database, and based on systematic management of drug information, drug use errors caused by drug name confusion, dosage errors and dosage form confusion can be reduced, the drug use safety is improved, and the method is beneficial to quickly and accurately retrieving and querying specific types of drug information; by integrating the elderly physiological features and the drug feature information, the drug utilization value analysis model is constructed, the elderly physiological features and the drug features are comprehensively considered, the utilization value of the drug on the elderly can be comprehensively evaluated, and the influence of the drug on the elderly patient can be predicted more accurately.

A system for redistributing medication including a computing device configured to receive a communication regarding a medication donation from a donor, wherein the communication includes donor medication information regarding the medication donation. The computing device further configured to verify the medication donation including verifying the identity of the donated medication. Verifying the identity of the donated medication includes collecting actual medication information. The computing device also configured to enter final medication information corresponding to the medication donation into the medication database. The computing device configured to match the donated medication to a recipient selected from a recipient database as a function of a set of associated recipient data.

The system according to this embodiment aims to facilitate communication between patients and medical professionals and enable the exchange of accurate medical information. [Solution] The system according to the embodiment comprises a translation unit, a specialized terminology translation unit, a real-time translation unit, a multilingual support unit, and a drug information analysis unit. The translation unit performs translations to facilitate communication between patients and medical professionals. The specialized terminology translation unit accurately translates medical terminology translated by the translation unit. The real-time translation unit provides the content translated by the specialized terminology translation unit in real time. The multilingual support unit provides the content provided by the real-time translation unit in multiple languages. The drug information analysis unit analyzes drug interactions based on the content provided by the multilingual support unit.

A system is provided.SOLUTION: The system includes a database means for storing the medical history and prescription information of patients, a receiving means for receiving the medical history and prescription information of patients and storing them in the database means, a AI model means for proposing the optimal medicine on the basis of the stored medical history and prescription information, and a display means for displaying the proposed medicine information.SELECTED DRAWING: Figure 1

The application relates to the technical field of medicine information management, in particular to an intelligent medicine management method and system based on cloud computing, which comprises the following steps: comparing user role information and medicine category information, comparing user permission rules and medicine information access rules, judging whether the user has access and modification permissions of the medicine information, screening the user operation range meeting the permission rules, and obtaining the medicine information access permission state.In the application, the access and modification permissions of the medicine information are strictly screened by comparing the user role and the medicine category information, so that the safety and compliance of the medicine data are ensured, the medicine information change is automatically monitored, the associated user is timely and accurately pushed, the information synchronization efficiency is improved, the medicine storage conditions are ensured through environment parameter monitoring and intelligent adjustment, the deterioration risk is reduced, the storage stability is improved, the adjustment data is recorded, the traceability and precision of the storage conditions are ensured, and the automation and efficiency of the medicine management are enhanced.

The invention relates to the technical field of natural language processing, in particular to a reinforcement learning drug recommendation method based on a hierarchical perception graph neural network, and the method comprises the steps: modeling patient information and drug information into a knowledge graph, coding the information in a hyperbolic space, and obtaining potential hierarchical structure information; continuously optimizing the drug recommendation model by adopting a method based on inverse variance reinforcement learning, and giving an initial current model and a target model; when the target model is trained, the L2 norm is used as the learning direction of the target model, and the current model parameters are transmitted to the target model in a time-interval copying mode; adding the loss attenuation mechanism into the current model to obtain the total loss of the current model; according to the invention, medical workers can be assisted in drug selection, the workload of drug selection of the medical workers can be reduced to a certain extent, the drug recommendation efficiency is improved, and the drug recommendation accuracy is improved.

Systems and methods for optimizing drug management are disclosed. A disclosed system implements a method that includes receiving, from a first client system, a new drug code and drug information associated with new drug code, determining, by the computing system based on the received drug information, a predetermined medication and a first local identifier used by the first client system to identify the predetermined medication, determining, based at least in part on identifying the first local identifier, one or more second local identifiers that identify the predetermined medication, identifying, based on the one or more second local identifiers, a plurality of second client systems that use the one or more second local identifiers, and automatically providing, an instruction to each of the plurality of second client systems to associate, at the second client system, one or more corresponding second local identifiers with the new drug code.

The embodiment of the invention provides a method and device for assessing the risk of a medical prescription by using an intelligent agent, and the method comprises the steps: inputting a to-be-assessed target medical prescription into the intelligent agent, and carrying out the multi-step reasoning through the intelligent agent. Wherein in the single-step reasoning, the intelligent agent calls tools in the tool set according to the current thinking text to obtain a single-step reasoning result. The tool set comprises a first tool and a second tool, and the first tool is used for querying the dynamic medical knowledge graph and determining whether the drug use information contained in the thinking text has a first risk or not. The triple in the dynamic medical knowledge graph is updated along with time. And the second tool is constructed based on the Bayesian network and is used for calculating the risk probability of the medication information for the predetermined risk. According to target output of the intelligent agent, a risk assessment result of the target medical prescription is obtained, and the target output comprises a reasoning link of multi-step reasoning.

The invention relates to the technical field of health monitoring, in particular to a personal health early warning method and device, a medium and a product. The method comprises the following steps: generating a series of medication prompt information containing timestamps based on diagnosis and treatment records and individual attribute information of a target individual, and sending the medication prompt information to the target individual at the corresponding timestamp through a medicine chest module; obtaining an ideal index range corresponding to the target individual, group index data of patients with the same disease and time sequence index data of the target individual in a medication period; extracting the medication information of the target individual from the diagnosis and treatment record, identifying an abnormal index set from the time sequence index data based on the medication information, the ideal index range and the group index data, and predicting the disease risk of the target individual; and calling the large model to generate a health assessment report for the target individual based on the medication information, the disease risk, the abnormal index set and the time sequence index data. According to the invention, precise health early warning for individuals during medication can be realized.

A smart medicine box and a method of using same. The smart medicine box comprises: a medicine box, provided with a medicine outlet; a rotating frame, rotatably arranged in the medicine box, a plurality of sets of medicine cases distributed in the circumferential direction and capable of sliding in a reciprocating mode in the radial direction being arranged on the rotating frame, and the medicine cases being connected to the rotating frame by means of radially arranged springs; a driving module, arranged in the medicine box and composed of a rotating motor and a push rod motor, the rotating motor being used for driving the rotating frame to rotate such that a medicine case rotates to a medicine discharging position, and the push rod motor being used for driving a push rod to push the medicine case rotating to the medicine discharging position out of the medicine outlet; a medicine recognition module, fixedly arranged in the medicine box and used for recognizing medicine information; a face recognition module, fixedly arranged on the medicine box and used for recognizing user identity information; and a reminding module, fixedly arranged on the medicine box and used for reminding a user to take medicines or supplement medicines. The present solution can achieve multiple reminding functions such as medicine taking, dosage, medicine supplementing, and correct medicine taking, and is convenient for the elderly to use.

The invention provides a medicine information transmitter which comprises a shell part, a control switch, a control circuit board, a fan, a transmitting part, a medicine container and a mounting support assembly, an inner cavity is formed in the shell part, a medicine containing cabin is formed in the inner cavity, and the medicine container used for containing medicine materials is placed in the medicine containing cabin. An inner cavity is formed in the shell part, a transmitting part used for exciting medicine information is installed at the inner cavity and comprises an ultrasonic generator and a heating assembly, a control switch, a control circuit board and a fan are further installed at the position, located at the rear end of the inner cavity, in the shell part, and the ultrasonic generator, the heating assembly and the fan are electrically connected with the control circuit board. The medicine information transmitter can release beneficial medicine information of the human body, different treatment effects are achieved by matching different medicines, the arranged adjustable supporting arm can adjust the placement position of the medicine information transmitter, the medicine information transmitter acts on different human body parts, and different treatment effects are achieved.

Systems and methods for providing emergency access to information regarding prescribed medications are provide. A request for emergency access is received from a requesting healthcare provider device associated with an emergency provider. The request includes authentication information for a patient received from an authentication device associated with the requesting healthcare provider device. The received authentication information is verified by a server against patient data, including authentication information and medication information for patients, stored at a database. Following successful verification, if the patient data for the patient includes an authorization for emergency access, the database is queried to prescription information associated with the patient, which is transmitted to the requesting healthcare provider device in a read-only format.

The invention discloses an identity recognition method and device and a readable storage medium, relates to the technical field of terminals, and can solve the problem that user data of different users are confused when the device performs user data management. In the application, the electronic equipment can obtain the skin lines or textures of the user when the user wears the electronic equipment based on the use habit of the user wearing the electronic equipment, and identify the identity of the user based on the skin lines / textures of the user; therefore, user data such as exercise data, health data, sleep data, age information, height information, weight information, diet information, medicine taking information and smoking information obtained in the process that the user wears the electronic equipment can be associated to the user. According to the method, the user data of different users can be effectively distinguished and isolated, one-to-one correspondence between the user data and the user identities is realized, the accuracy and authenticity of the user data are ensured, effective support is provided for the users to accurately and truly know the conditions of exercise, health, sleep and the like, and the user experience is improved.

The invention relates to an accurate medication time recommendation method and system based on a multi-organization rhythm map. The method comprises the following steps: constructing a drug database and a rhythm expression database; acquiring a drug identifier input by a user, performing retrieval in a database, performing rhythm feature analysis based on a retrieval result, and generating a drug-target rhythm analysis report; based on the drug information queried by the two-stage serial query architecture, querying all biological pathways and related genes in which the drug participates, carrying out standardized conversion on gene identifiers, carrying out rhythm feature analysis, and generating a drug-pathway rhythm analysis report; and taking the generated analysis report as input, carrying out semantic integration and reasoning through a locally deployed large language model, and automatically generating an optimal medication time suggestion. Compared with the prior art, the method has the advantages that batch rhythm characteristic analysis of drug target genes and related pathway genes is realized, the analysis efficiency and repeatability are greatly improved, and the decision intelligence level is improved.

The invention belongs to the technical field of intelligent medical treatment, and particularly relates to a personalized drug recommendation method and system fusing adverse drug reactions, and the method comprises the following steps: inputting longitudinal electronic health record multi-source data of a patient, extracting and fusing time sequence features and drug similarity features, and generating comprehensive information representation of the patient. Local drug information representations and drug information representations are generated through a drug molecule bipartite graph and a drug information cassette, respectively, based on the comprehensive information representation of the patient. After external adverse drug reaction information is introduced and processed by an encoder, the comprehensive information of a patient is used for representing weighting, and adverse drug reaction characteristics are obtained. And the local drug information representation, the drug information representation and the adverse drug reaction characteristics are spliced, and final drug combination recommendation is output through prediction scores. According to the method, various kinds of useful information are fully utilized, complementarity and correlation among different medicine information sources are captured, the quality of multi-source data fusion is improved, and the accuracy and safety of medicine recommendation are optimized.

The invention provides a medicine package acceptance method and device executed by at least one processor. The method comprises the following steps: receiving a first image of a medicine bag shot by a first camera; receiving a second image of the medicine bag shot by a second camera; receiving medicine information related to the medicine package; and checking and accepting the medicine bag based on the first image, the second image and the medicine information. Moreover, the device comprises a first camera used for shooting a first image of the medicine bag; the second camera is used for shooting a second image of the medicine bag; and a control unit that acquires drug information relating to the drug package, and accepts the drug package on the basis of the first image, the second image, and the drug information.

This application relates to the field of physiological function assessment technology, and in particular to a method and system for assessing swallowing function in psychiatric patients based on multidimensional physiological signals. The method includes: S1, acquiring basic information and medication information of the psychiatric patient to be assessed, and collecting multidimensional physiological signals; S2, extracting swallowing feature vectors based on these signals; S3, identifying behavioral risks in psychiatry based on swallowing event sequences and inertial measurement signals, obtaining behavioral risk labels and their confidence levels; S4, extracting extrapyramidal response representation vectors based on multidimensional physiological signals, and outputting the probability of swallowing difficulties related to extrapyramidal responses through a pre-set classification model; S5, mapping different abnormal indicators to item scores for nursing risk assessment items, obtaining a total score; S6, generating an assessment report containing item scores, total score, risk level, and key physiological evidence. This application solves the problem that existing assessments rely on subjective observation and lack objective evidence support.