99 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 relates to the field of traditional Chinese medicine quality control, in particular to a traditional Chinese medicine quality data control method and system based on data mining. The method comprises the following steps: acquiring a historical traditional Chinese medicine prescription data set of a medical case information management platform, arranging various sensors at traditional Chinese medicine production process equipment, acquiring historical production data of the historical traditional Chinese medicine prescription data set through each sensor, analyzing the historical traditional Chinese medicine prescription data set and the historical production data, and determining the traditional Chinese medicine prescription data set. Establishing a prescription production data tree; analyzing the prescription production data tree and the historical traditional Chinese medicine prescription data set, and establishing a traditional Chinese medicine quality data chain; analyzing the traditional Chinese medicine quality data chain in combination with the prescription production data tree, and establishing a traditional Chinese medicine quality control data chain; and acquiring real-time traditional Chinese medicine prescription data, and analyzing the real-time traditional Chinese medicine prescription data in combination with the traditional Chinese medicine quality control data link to obtain a traditional Chinese medicine quality control scheme. The traditional Chinese medicine quality control efficiency and precision can be improved.

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 discloses a medicine compatibility effective component analysis method, and relates to the technical field of medicine compatibility, and the method comprises the following steps: carrying out data integration based on pre-obtained patient basic information and traditional Chinese medicine prescription data to generate a comprehensive data set, extracting effective components from a preset unified component database to generate a component list, and storing the component list in a database; analyzing the acting target spots through preset target spot mapping to generate a target spot matrix; dynamically generating pathological weight parameters based on the target matrix and basic disease data of the patient, and predicting a pharmacological effect according to a target overlapping degree to generate an effect prediction result; based on the effect prediction result and the component list, a risk level evaluation coefficient is calculated by applying a risk weight algorithm, and then a risk level is obtained through decision making; based on the risk level, a compatibility effective component analysis report is generated, and the problem of limitation existing in the current medicine compatibility effective component analysis process is solved.

The invention belongs to the technical field of medical management, and discloses an anesthetic medicine taking and supplementing comprehensive collaborative management system and method.The anesthetic medicine taking and supplementing comprehensive collaborative management system comprises a safe storage monitoring unit used for deploying a deformable magnetofluid sealing mechanism on an anesthetic medicine box, controlling the magnetofluid shape change through an electromagnetic signal, and sending the deformable magnetofluid sealing mechanism to the anesthetic medicine box when an unauthorized box opening behavior is monitored; the topological structure is triggered to deform to automatically lock the medicine box; the medicine taking operation unit is used for providing medicine taking path guidance through an AR interface of the medicine box and instructing the target medicine storage bin to take medicine in combination with the multi-band LED array; the medicine data insight unit is used for collecting the hemp essence medicine consumption data and the hemp essence medicine doctor advice data from the information storage terminal of the medicine storage bin, and constructing a hemp essence medicine consumption map through the hemp essence medicine consumption data; all-around safety protection, intelligent operation and accurate analysis and optimization are realized in the medicine management process, and the management efficiency, accuracy, safety and intelligent level of the hemp essence medicine are greatly improved.

To provide an information processing device and an information processing method which contribute to a response to a demand of medicine in a damaged area.SOLUTION: An information processing device includes: a reception section for receiving designation of divided areas in a predetermined range; an acquisition section for acquiring prescription data including prescribed drug information on prescribed drugs; an analysis section for performing analysis of prescribed drugs which are prescribed in the designated areas on the basis of the prescribed drug information; and an output section for outputting a result of the analysis.SELECTED DRAWING: Figure 2

The present invention provides a therapeutic effect prediction system and method that make it possible to improve user-friendliness. A therapeutic effect prediction system 1 comprises: a machine learning unit 132 that outputs a prescribed parameter from patient data which has been input; and a mathematical model unit 131 that calculates a therapeutic effect from prescription data and the prescribed parameter which has been output by the machine learning unit. The machine learning unit is trained to reduce the difference between treatment history data and the therapeutic effect which has been calculated by the mathematical model unit. Thus, it is possible to predict a therapeutic effect by making combined use of the machine learning unit and the mathematical model unit without preparing a data set which is a correct answer.

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.

An automatic medication intake and dispensing system is disclosed. The system enhances medication adherence and facilitates health monitoring by employing NFC-tagged medication bottles that communicate prescription data to an integrated NFC reader. A mechanical arm transfers medication into a rotational storage tray with designated compartments. At scheduled times, the system automatically retrieves the appropriate medication using a vacuum-assisted mechanism and delivers it to the user. If a dose is missed, the system initiates retry and alert protocols. Integrated telehealth capabilities include video and audio transmission, along with vital sign monitoring modules for measuring blood pressure, heart rate, and blood oxygen levels. A temperature sensor is also incorporated. A single-board computer manages system operations and uploads data, including missed doses and health metrics, to a secure cloud platform for access by patients, caregivers, and healthcare providers. The system provides secure prescription management, automated dispensing, and continuous health data collection.

The present invention relates to a medical service relay system and method, by which a medical institution provides a medical service constructed on the basis of SaaS, in connection with diagnosis and prescription for a patient, in order to provide various medical services to the patient. The system comprises: a medical service registration unit for registering information on a medical service to be used in a medical institution; a prescription / medical service mapping unit for providing a list of registered medical services, and receiving and managing information in which a prescription code of each medical institution and at least one medical service are mapped; a prescription data processing unit for receiving prescription information issued to a patient to generate a prescription identifier, and storing the prescription information as prescription data mapped to the prescription identifier; and a service relay unit for retrieving the stored prescription data according to a configured scheduling condition and providing access information of the medical service mapped to the prescription data to a patient terminal, wherein the medical service is a medical service application provided on the basis of SaaS.

To provide an inspection assistance system which can assist the inspection task of a pharmacist and a tablet packing device.SOLUTION: An inspection assistance system (1) includes an inspection display processing part (211) which is configured to display, per unit of packing, a capture image of a tablet which is captured before the tablet dispensed from one or both of a tablet cassette (41) and a manual distribution unit (42) based on prescription data is packed into a packing material in a tablet packing device (4), and is configured to display a result of an inspection process which is executed based on the prescription data and identification information of the tablet included in the capture image of the tablet. Thus, it is possible to assist a pharmacist's inspection task carried out with respect to the tablets packed by the tablet packing device (4).SELECTED DRAWING: Figure 1

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.

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 application provides a traditional Chinese medicine prescription review adverse drug use risk early warning method and system, belongs to the technical field of traditional Chinese medicine informatization and medical safety guarantee, first loads a traditional Chinese medicine knowledge graph and a standardized prescription data set, executes dynamic adaptation processing to generate an adapted data set; then, based on the adapted data set, multi-dimensional adverse drug use risk identification and interaction influence analysis are performed to obtain a prescription risk identification result; then, a risk assessment model is called to quantitatively process the result and calculate a comprehensive risk score; according to the comprehensive risk score, early warning is triggered, early warning push information containing various information is generated and sent to a target medical terminal, and feedback information is collected to update the knowledge graph. The application can effectively improve the accuracy and comprehensiveness of traditional Chinese medicine prescription review and guarantee clinical drug safety.

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.

A method and system may provide a new prescription order interface which allows a customer to order one or more new prescription medications in a quick and easy manner from a remote location using a computer or mobile device. The customer provides a new paper prescription image that includes the prescription data for a pharmacy to fill the new prescription order. The new paper prescription image is received by a server and a default pickup store and a default pickup time are determined. The server also determines whether there is a high risk that the new prescription order is fraudulent by comparing a signature in the new paper prescription image to stored signatures associated with the prescriber, and comparing distances between the locations of the customer's web-enabled device, the pharmacy, and the prescriber. The system may be accessed through a series of web pages and / or via an application.

To minimize the risk of oversight of inadequate dose dispensing and the like, and prevent insufficient packages or the like from being delivered to patients.SOLUTION: A medicine packaging outsourcing system includes: a consignment source device 3 which is installed at a preparation business consignment source that outsources preparation business related to medicine to a preparation business consignment destination; a consignment destination device 4 which is installed at a preparation business consignment destination that is entrusted with the preparation business related to medicine from the preparation business consignment source; and a dose dispensing management device 2 for issuing or delivering packages to a patient by managing information of packages obtained by packing one or a plurality of medicines in dispensing bags in accordance with prescription data. The devices are connected so that they can communicate data with each other. When an inspection result of all packages across a specific period of a specific patient created according to prescription data is appropriate, delivery of the packages is accepted.SELECTED DRAWING: Figure 1A

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 purpose is to fairly determine the order of acceptance for multiple types of prescriptions received by multiple reception machines. [Solution] The prescription reception program causes a computer to perform a process to receive multiple prescriptions, each prescription being received by a different reception device for each type of prescription. The acquisition process periodically sends an acquisition request 111 to the reception device requesting the acquisition of prescriptions stored in the reception device. In response to the acquisition request 111, the acquisition process acquires prescription data 210, which includes prescription information set for the prescriptions stored in the reception device. The acquisition process assigns the time the prescription data 210 was acquired as the reception time to the prescription data 210. The registration process registers the prescription information contained in the prescription data 210 in prescription reception information 151 in order of reception time.

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.

The purpose is to fairly determine the order of acceptance for multiple types of prescriptions received by multiple reception machines. [Solution] The prescription reception program causes a computer to perform a process to receive multiple prescriptions, each prescription being received by a different reception device for each type of prescription. The acquisition process periodically sends an acquisition request 111 to the reception device requesting the acquisition of prescriptions stored in the reception device. In response to the acquisition request 111, the acquisition process acquires prescription data 210, which includes prescription information set for the prescriptions stored in the reception device. The acquisition process assigns the time the prescription data 210 was acquired as the reception time to the prescription data 210. The registration process registers the prescription information contained in the prescription data 210 in prescription reception information 151 in order of reception time.

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 provides an outpatient prescription compliance assessment method and system based on multi-dimensional behavior modeling, and the method comprises the steps: determining a doctor group corresponding to a to-be-assessed prescription, and enabling the doctor group to be obtained through the division based on the medication characteristics in the historical prescription data of a plurality of doctors; the prescription data of the to-be-evaluated prescription are modeled in multiple preset dimensions, a multi-dimensional behavior vector corresponding to the to-be-evaluated prescription is obtained, and the preset dimensions comprise cost, medication and a diagnosis result; and inputting the multi-dimensional behavior vector corresponding to the prescription to be evaluated into a trained anomaly detection model to obtain a compliance evaluation result of the prescription to be evaluated, the anomaly detection model being obtained based on training of a plurality of sample prescriptions to be evaluated, and the sample prescriptions to be evaluated being consistent with a doctor group corresponding to the prescription to be evaluated. According to the invention, the accuracy of the prescription violation detection result can be improved.

The invention discloses a prescription information compression method and device and a paper prescription, and relates to the technical field of medical prescription data information processing. The method comprises the following steps: acquiring structured electronic prescription information; generating a binary coding sequence of each medical named entity in the electronic prescription information according to pre-established medical named entity dictionaries of different categories; the medical named entity dictionary comprises various medical named entities sorted according to statistical frequencies and integer indexes corresponding to the medical named entities, and the integer indexes corresponding to the medical named entities with higher statistical frequencies are smaller; splicing the binary coding sequences corresponding to all the medical named entities in the electronic prescription information end to end to form a binary long coding sequence, and complementing the binary long coding sequence to obtain a byte array; and encoding the byte array into a compressed character string, adding the compressed character string as a parameter into the URL, and generating a two-dimensional code according to the URL. The compression ratio of prescription information can be greatly improved.