62 results about "Prescription data" patented technology

The invention relates to the cross technical field of artificial intelligence and traditional Chinese medicine, and discloses a traditional Chinese medicine artificial intelligence accurate quantity control unmanned medicine decocting system, the system constructs nine modules, a prescription data analysis module realizes intelligent analysis of prescription information, a process scheme intelligent formulation module realizes automatic generation of a personalized decoction scheme, and a traditional Chinese medicine decoction module realizes automatic control of the traditional Chinese medicine decoction. The multi-modal sensing data acquisition module realizes real-time data acquisition in the whole process, the dynamic regulation and control module realizes online process deviation correction, the equipment management module realizes accurate execution of fire power, pressure, water quantity, feeding and split charging, and the intelligent decoction end point judgment module realizes objective quantitative judgment of a decoction end point. The self-cleaning and sterilization maintenance module realizes no cross contamination in the equipment, the man-machine interaction module realizes local and cloud convenient operation, the safety early warning module realizes multi-fault active defense, and all the modules cooperate to realize intelligent control. The method has the advantages of intelligent prescription analysis, dynamic process adaptation, multi-dimensional sensing fusion, accurate judgment and special medicinal material differentiation treatment.

The invention belongs to the technical field of traditional Chinese medicine information processing, and provides a traditional Chinese medicine disease prescription data base construction method and system.The method comprises the steps that five types of data including ancient literatures, modern medical records, prescription data, traditional Chinese medicine resources and medical record manuscript images are accessed through an extensible adapter frame; a traditional Chinese medicine term service platform is constructed by using multi-source term resources, and standardized data is generated from the analyzed data; the method comprises the following steps: extracting diseases, syndromes, prescriptions and traditional Chinese medicine entities by adopting a rule engine and a domain self-adaptive entity recognition model, on the basis of a public traditional Chinese medicine standard knowledge graph, aggregating neighbor node information through GAT, and introducing a contrast learning optimization entity relationship classifier to obtain an enhanced entity vector and classify a semantic relationship; constructing a knowledge graph based on the extracted semantic relationship; and carrying out data quality and algorithm performance monitoring and tracing on data access analysis, standardization processing, knowledge extraction and graph construction. Uniform access and standardized integration of multi-source heterogeneous traditional Chinese medicine data are realized.

The invention relates to a diagnosis and treatment result prediction method fusing a time sequence and traditional Chinese medicine multi-stage diagnosis and treatment, belongs to the technical field of traditional Chinese medicine diagnosis and treatment prediction, and solves the problem of lack of accurate whole-process prediction in the prior art. The method comprises the following steps: acquiring the current doctor-seeing symptom and historical doctor-seeing time sequence data of a to-be-predicted patient; the historical treatment time sequence data comprises symptom, syndrome, therapy and prescription data of each time step; constructing a graph structure corresponding to each time step of the historical doctor-seeing time sequence data; extracting a symptom feature sequence, a syndrome feature sequence, a therapy feature sequence and a prescription feature sequence by adopting a trained graph neural network model based on the graph structure and the current treatment symptom; and based on the symptom feature sequence, the syndrome feature sequence, the therapy feature sequence and the prescription feature sequence, performing multi-stage diagnosis and treatment result prediction by adopting a trained recurrent neural network model to obtain the prediction results of the syndrome, the therapy and the prescription of the current doctor seeing of the to-be-predicted patient. And accurate whole-process prediction is realized.

The invention discloses a medical prescription auditing and medication safety management and control method, device and equipment and a storage medium, and relates to the technical field of medical informatization and health big data, the method comprises the following steps: obtaining drug information, patient allergy history and multi-dimensional health data in a target prescription, and constructing a prescription data set; in combination with a medicine knowledge base and a taboo database, intelligent verification is carried out on the medication rationality of the prescription by utilizing a Duros rule engine and a graph neural network model, and a verification result and verification detail data are output; if the verification result is unreasonable, marking the prescription as a risk prescription, generating a medication risk assessment report and a prescription modification suggestion based on verification detail data, and pushing the report and the suggestion to a corresponding doctor terminal; and if the verification result is reasonable, generating personalized medication guidance through prescription-patient feature matching, and sending the personalized medication guidance to the doctor terminal, the patient terminal and the pharmacy terminal. According to the application, intelligent prescription checking and medication safety guarantee can be realized through risk assessment and personalized adaptation.

The invention provides a traditional Chinese medicine prescription big data statistical method and device and a readable storage medium. The method comprises the following steps: collecting traditional Chinese medicine prescriptions, and arranging the prescriptions as a prescription data source; performing semantic unification on prescription terms of the prescription data source; and inputting the prescription data into the drug combination association rule discovery model, and generating and storing drug combination association data. The device and the readable storage medium store a program for executing the method. Through arrangement, term unification and medicine combination association of prescription data sources, data pollution caused by prescriptions with validity problems can be prevented, and the method is used for guiding and assisting doctors in verifying the validity of the prescriptions.

A finished lens with a predetermined shape, including one front face, one back face and a perimeter corresponding to the shape, including a prescription part on the lens that together with the front face fulfills prescription data of a wearer and a peripheral part on the lens, the prescription part being delimited by a thickness curve and the peripheral part extending from the thickness curve towards an outer edge of the lens, the thickness curve corresponding to a value of thickness less than or equal to a predetermined thickness requirement.

The invention relates to the technical field of artificial intelligence and medical information, and particularly discloses an intelligent pharmacy prescription automatic inspection system and method fused with deep learning. The system comprises a prescription multi-dimensional data acquisition module, a patient individualized feature modeling module, a deep learning fusion reasoning module, a dynamic compliance verification module and a result output module. The method comprises the following steps: acquiring multi-dimensional prescription data, constructing a patient individualized feature model, and outputting an examination result through deep learning fusion reasoning and dynamic compliance verification; according to the scheme, the problem of insufficient medication risk identification accuracy caused by insufficient consideration of patient individualized features in the prior art is solved, individualized accurate identification of prescription examination is realized, technical support is provided for medication safety, and the method is suitable for scenes such as hospital pharmacies and retail drugstores at all levels.

The invention discloses a prescription compliance verification and dosage intelligent verification method based on multi-source medical insurance policy dynamic mapping, and particularly relates to the technical field of medical information, and the method comprises the steps: S1, dynamically collecting multi-level medical insurance policy data, analyzing and extracting structured rule atoms, the method comprises the steps of S1, establishing and updating a multi-layer medical insurance policy knowledge graph based on rule atoms and association dimensions, S3, after prescription data are received, activating a corresponding current effective target rule atom set in the knowledge graph according to scene parameters, S4, performing payment compliance verification and intelligent dosage verification on a prescription based on the rule atom set, and S5, performing intelligent dosage verification on the prescription based on the rule atom set. And S5, collecting feedback information so as to optimize rule application logic. According to the invention, automatic adaptation and accurate interpretation of dynamic medical insurance policies are realized, the problems that a traditional static verification system is lagged and conflicts are difficult to solve are solved, and the accuracy, efficiency and intelligent level of prescription auditing are improved.

This invention relates to the field of traditional Chinese medicine (TCM) quality control, specifically a TCM quality data control method and system based on data mining. The method includes the following steps: acquiring historical TCM prescription datasets from a medical record information management platform; installing multiple sensors at TCM production equipment to acquire historical production data from the historical TCM prescription datasets; analyzing the historical TCM prescription datasets and historical production data to establish a prescription production data tree; analyzing the prescription production data tree and historical TCM prescription datasets to establish a TCM quality data chain; combining the prescription production data tree with the TCM quality data chain to establish a TCM quality control data chain; acquiring real-time TCM prescription data; and combining the real-time TCM prescription data with the TCM quality control data chain to obtain a TCM quality control scheme. This invention can improve the efficiency and accuracy of TCM quality control.

The present application relates to a kind of fusion time series and traditional Chinese medicine multi-stage diagnosis and treatment diagnosis and treatment result prediction method, belong to traditional Chinese medicine diagnosis and treatment prediction technical field, solve the problem of lack of accurate whole process prediction in prior art.Method includes: obtaining the symptoms and historical visit time series data of the patient to be predicted current visit;Historical visit time series data includes the symptom, syndrome, therapy and prescription data of each time step;The graph structure corresponding to each time step of historical visit time series data is constructed;Based on the graph structure and the symptoms of current visit, symptom feature sequence, syndrome feature sequence, therapy feature sequence and prescription feature sequence are extracted using trained graph neural network model;Based on symptom feature sequence, syndrome feature sequence, therapy feature sequence and prescription feature sequence, multi-stage diagnosis and treatment result prediction is carried out using trained recurrent neural network model, and syndrome, therapy and prescription prediction results of the patient to be predicted current visit are obtained.Accurate whole process prediction is realized.

The invention relates to a method for determining an ophthalmic lens intended to be worn by an individual, said ophthalmic lens being adapted to provide a visual correction to the individual in at least one given visual gaze direction, said visual correction being based on wearer data comprising prescription data of the individual, wherein the method comprises the steps of: - determining a parameter related to the accommodation dynamics of the eye of the individual, - determining said ophthalmic lens based on said wearer data and the parameter related to the accommodation dynamics of the eye of the individual. The invention also relates to a device for determining a parameter related to the accommodation dynamics of the eye of an individual in a method according to the invention.

The invention discloses a prescription drug interaction auditing method and system based on a knowledge graph, and relates to the technical field of medical information, and the method comprises the steps: constructing a drug ontology model, executing multi-source knowledge extraction from a drug specification, a clinical guide, a medical literature, a drug database and hospital historical prescription data, performing knowledge fusion to generate uniform medicine knowledge representation, constructing a medicine knowledge graph containing western medicine, traditional Chinese medicine and Chinese and western medicine combined action sub-graphs, performing prescription medicine identification, performing pairwise pairing analysis and multi-medicine combined cascade effect analysis on prescription medicines, and calculating a personalized medication risk value in combination with patient information. According to the method, the multi-drug combination cascade amplification effect and the Chinese and western medicine combination risk can be identified, and personalized drug use risk assessment is realized.

A system and method for encrypting and transmitting data between devices is provided. A method for encrypting and securely transmitting data between devices is disclosed. After a device receives a request to purchase prescription lenses, including prescription data, to be inserted into a second electronic device, the prescription data is securely encrypted and transmitted to a lens manufacturer. The lens manufacturer can create prescription lenses and associated calibration data. The calibration data can be encrypted and transmitted to a storage device for storage. The second electronic device can retrieve the encrypted calibration data from the storage device and utilize it to perform a full calibration of the device. The second electronic device can present an image using a display through an optical path that includes the prescription lenses according to the calibration data.

The invention relates to the technical field of prescription anomaly detection, in particular to a drug prescription anomaly detection method based on big data analysis. The method comprises the steps of S1, data cleaning; S2, correlation analysis; step S3, clustering is carried out; and S4, performing anomaly detection. According to the method, automatic cleaning and standardized management are performed on original prescription data, repeated drug entries are recognized and deleted, meaningless characters and blanks are cleaned, and various alias and common names are mapped into standard drug names by a drug dictionary constructed based on an authoritative standard, so that term inconsistency of multi-source data is avoided, and the accuracy of the data is improved. An incidence matrix is constructed by calculating Pearson correlation coefficients among drugs, interference of high-frequency general drugs on analysis results is avoided, a data problem root is intelligently diagnosed, and high-frequency drug false correlation and prescription merging errors are distinguished by combining cohesion analysis and substructure analysis; and all identified abnormal data are automatically picked out to form a to-be-checked list, so that a clear target is provided for subsequent manual checking.

The invention relates to a method for producing a spectacle lens individualized by prescription data from a spectacle lens prefabricate (12) in a production process (10), which comprises the following steps: Providing spectacle lens prefabricates (12) and qualifying the spectacle lens prefabricates (12) by checking for the presence of a defect, and further treatment of the spectacle lens prefabricates (12) in the production process (10) as a function of quality information assigned to the spectacle lens prefabricates (12) during qualification. The quality information is quality information from the group "Quality information A: Spectacle lens prefabricate has no defect", "Quality information B: Spectacle lens prefabricate has a defect in an outer edge area and has no defect in an inner area complementary to the outer edge area", "Quality information C: Spectacle lens prefabricate has a defect in an inner area complementary to the outer edge area". A spectacle lens prefabricate (12), to which the quality information B is assigned, is linked with prescription data in a calculation engine (45) in order to generate shaping data for the spectacle lens prefabricate (12), wherein the generated shaping data is compared with the quality information B in order to determine whether a semi-finished spectacle lens product can be produced from the spectacle lens prefabricate (12) which has a shaping corresponding to the shaping data and which satisfies a predetermined quality standard. For checking the predetermined quality standard, it is determined whether the shaping data describe a semi-finished spectacle lens product for which an oversize edge area of the spectacle lens prefabricate (12) is removed which has an oversize towards the inside in relation to the outer edge area.

This application discloses a method, device, and medium for intelligent supervision of medical retail based on federated learning, relating to the field of medical supervision technology. The method includes: collecting multimodal supervision data from medical retail institutions and performing edge computing preprocessing on the multimodal supervision data to obtain cleaned and encrypted standardized supervision data; the multimodal supervision data includes basic drug data, inventory data, prescription data, settlement data, pharmacist qualification data, and drug traceability data; based on a federated learning architecture and according to the standardized supervision data held by each participating party, collaboratively training a medical retail violation identification model; the participating parties include medical retail institutions, market supervision departments, finance departments, and medical security departments; based on the trained medical retail violation identification model, performing violation behavior identification analysis on the real-time data stream of the target medical retail institution, generating violation identification results, and executing intelligent supervision operations based on the violation identification results.

The invention relates to the field of traditional Chinese medicine dispensing, in particular to a traditional Chinese medicine cabinet spectrum acquisition method based on a simulated annealing algorithm and an association rule algorithm, and the method comprises the following steps: S1, obtaining traditional Chinese medicine prescription data in a preset time period, and building a traditional Chinese medicine prescription data set according to the traditional Chinese medicine prescription data; s2, analyzing association rules between traditional Chinese medicines in the traditional Chinese medicine prescription data set and medication frequency of each traditional Chinese medicine; s3, establishing a simulated annealing algorithm model, and outputting an optimal traditional Chinese medicine cabinet spectrum scheme; according to the method, the traditional Chinese medicine prescription data in the preset time period is acquired, the traditional Chinese medicine prescription data set is established, and the traditional Chinese medicine prescription scheme with any size and the highest blending efficiency can be obtained through the association rule and the annealing algorithm, so that the whole method is low in cost, high in adaptability, convenient and rapid, and the traditional Chinese medicine dispensing efficiency is effectively improved; and the final effect is good.

A system for automating prescription medication synchronization, including; a processor; a memory storing instructions that, when executed by the processor, cause the system to: retrieve prescription data for a patient; verify a use agreement; authenticate the patient; determine eligibility for a synchronization program; receive a patient opt-in; and generate a medication synchronization schedule.

To provide a dispensing support system, dispensing support method, and dispensing support program that can reduce the burden of dispensing work in pharmacies. [Solution] The dispensing support system comprises a distribution processing unit that distributes part or all of the dispensing based on prescription data corresponding to a pharmacy capable of dispensing drugs to either the pharmacy or a dispensing facility capable of performing part or all of the dispensing based on the prescription data corresponding to the pharmacy, and a first output processing unit that outputs the distribution results from the distribution processing unit.

The present application provides an information processing device, a skin care prescription system, a method, and a storage medium. The problem is to provide a prescription for skin care at a timing at which a sufficient skin improvement effect can be obtained. A CPU of the information processing device acquires history record data of an index value indicating a change in blood flow before and after a treatment based on a first skin image obtained by imaging the skin before the treatment for promoting blood flow and a second skin image obtained by imaging the skin after the treatment, and generates and outputs prescription data for skin care based on the acquired history record data.

The invention relates to an AI-based intelligent pharmacy prescription safety checking method, system and device and a medium. The method comprises the following steps: acquiring a multi-source fusion feature data set; the multi-source fusion feature data set comprises standardized prescription data, patient individual health feature data and standardized medical knowledge rule data; based on the standardized prescription data and the standardized medical knowledge rule data, a preset AI matching model is combined for comparison, and a basic auditing result is obtained; performing high-risk scene special checking on the multi-source fusion feature data set to obtain a scene risk checking result; based on the basic auditing result and the scenarized risk auditing result, obtaining a prescription comprehensive safety checking result; the prescription safety checking result comprises risk prompt and checking confirmation information. By adopting the method, multi-dimensional intelligent checking of pharmacy prescription risks can be realized.

The invention provides a traditional Chinese medicine prescription recommendation method fusing category information and a big language model enhanced causal mechanism. According to the method, aiming at the problems that an existing model depends on statistical correlation, false correlation is difficult to filter, syndrome differentiation and treatment and'monarch, minister, assistant and guide 'mechanism modeling are lacked, semantic understanding is insufficient and the like, a heterogeneous graph and homomorphic graph multi-view learning framework of symptoms and herbal medicines is constructed. On the heterogeneous graph level, symptoms and herbal medicines are synchronously classified through prescription data, syndrome category representation is formed, symptom-herbal medicine causal information is introduced into multi-view comparative learning, and heterogeneous graph node representation and herbal medicine recommendation ability is enhanced. On the same composition level, symptoms and semantic information and category information of the herbal medicines are fused, herbal medicine-herbal medicine causal priori is introduced, an isomorphic relation is learned through a graph attention network, node feature expression is enriched, and the depicting ability of the model on traditional Chinese medicine knowledge such as theory-law-prescription-medicine and monarch, minister, assistant and guide is improved. The accuracy, stability and interpretability of traditional Chinese medicine prescription recommendation can be remarkably improved, and the method has good clinical application value.

The invention provides an intelligent purchase prediction and early warning model based on traditional Chinese medicinal materials, and the key points of the technical scheme comprise the steps: S1, collecting historical prescription data, regional seasonal climate data and epidemic disease monitoring data of a medical institution, and constructing an original data set of multi-source data fusion; s2, a disease-syndrome-prescription-medicinal material four-layer knowledge graph is constructed based on the traditional Chinese medicine theory, the incidence relation and the dosage compatibility rule among the traditional Chinese medicinal materials are established, and the knowledge graph comprises a genuine producing area mapping table and a processing technology conversion relation; s3, performing preprocessing and feature engineering on the original data set, extracting time sequence features, seasonal features and relevance features according to the knowledge graph, and generating a model training data set; s4, constructing a time sequence demand prediction model based on the LSTM neural network, setting a weighted loss function which comprises a mean square error term, an out-of-stock penalty term and an excessive stock penalty term, and inputting the model training data set into the demand prediction model for training, outputting a traditional Chinese medicine demand prediction result according to the demand prediction model; s5, according to the traditional Chinese medicinal material demand prediction result, the current inventory data and the special attribute parameters of the traditional Chinese medicinal materials, a dynamic early warning threshold value is calculated, and a third-level stockout early warning signal and an intelligent replenishment suggestion are generated; and S6, outputting an early warning result and a replenishment scheme, and dynamically adjusting and optimizing the prediction model according to actual consumption data.

To provide a picking support system capable of improving efficiency of picking work by changing a support mode of medicine picking work for each type of user.SOLUTION: A picking support system 1 includes a specification processing unit 411 that specifies whether or not a user is a specific user set in advance, a first display processing unit 412 that can display information on all types of medicines included in prescription data when the specification processing unit 411 specifies that a current user is the specific user, and a second display processing unit 413 that can display only information on a second type of medicine excluding information on a first type of medicine set in advance among the information on the medicines included in the prescription data when the specification processing unit 411 specifies that the current user is not the specific user.SELECTED DRAWING: Figure 2

The invention relates to the technical field of medicine packaging, and discloses a medicine sub-packaging device and a medicine sub-packaging method. The medicine subpackaging device comprises a plurality of medicine boxes, a plurality of medicine feeders and a distribution processing part. To-be-dispensed medicines are stored in each medicine box, and the multiple medicine boxes are divided into a first kind of medicine boxes with more occurrence times and a second kind of medicine boxes with less occurrence times according to the occurrence times of the stored medicines in the multiple pieces of prescription data. The number of the medicine feeders is the same as that of the first kind of medicine boxes, and the first kind of medicine boxes are fixed to the medicine feeders prior to the second kind of medicine boxes. According to the medicine sub-packaging device and the medicine sub-packaging method, the number of times of replacing the medicine boxes can be reduced, and the medicine packaging efficiency is improved.

A system for automating prescription medication synchronization, including; a processor; a memory storing instructions that, when executed by the processor, cause the system to: retrieve prescription data for a patient; verify a use agreement; authenticate the patient; determine eligibility for a synchronization program; receive a patient opt-in; and generate a medication synchronization schedule.

The application discloses a kind of glasses prescription management method, device and equipment and storage medium, the method includes: receiving the prescription data of user input, based on the standardization prescription form of preset template prescription data is generated, obtain initial prescription;Wherein, the prescription data includes customer basic information, optometry related business parameters and optical parameters;Call the compliance verification of initial prescription to preset parameter verification rule base;According to the phased audit of configured audit process to initial prescription;Based on the result of compliance verification and the result of phased audit to initial prescription is managed, obtain target prescription;The target prescription is integrated with the preset optometry equipment and financial system, to carry out integrated business management to the target prescription.The application can effectively improve the management effect of glasses prescription by constructing glasses prescription full life cycle management solution.

The invention discloses a remote consultation method and system based on artificial intelligence hospital guidance, and belongs to the technical field of medical informatization. The method comprises the following steps: acquiring multi-modal identity verification data of a patient, completing identity recognition, and associating with an electronic health record; patient symptom description is collected, semantic understanding and reasoning are carried out based on the dynamically updated multi-source knowledge base and the large language model, and a department recommendation result is generated; a remote doctor terminal is matched according to the recommendation result, and a multi-mode consultation channel is established; and after the consultation is completed, generating prescription data, triggering a medical insurance payment interface to complete expense settlement, and sending the prescription data to a medicine distribution system to realize medicine distribution. The system comprises an identity recognition module, an intelligent hospital guide module, a remote consultation module, a payment and distribution module and a data interface module. According to the method, the process integration of hospital guide and remote consultation is realized, the hospital guide accuracy and the doctor seeing efficiency are improved, and the method is suitable for basic medical and remote medical scenes.

A system for determining a prescriptive therapy instruction set may include a computing device configured to receive a first subject prescription datum associated with a first subject; receive a first subject tolerance datum associated with the first subject; determine a prescriptive therapy instruction set by training a prescriptive therapy instruction set machine learning model on a training dataset including a plurality of example subject prescription data and subject tolerance data as inputs correlated to a plurality of example prescriptive therapy instruction sets as outputs; and generating the prescriptive therapy instruction set as a function of the subject prescription datum and the subject tolerance datum using the trained prescriptive therapy instruction set machine learning model; receive a second subject tolerance datum associated with the first subject; and retrain the prescriptive therapy instruction set machine learning model as a function of the second subject tolerance datum.