40 results about "Pharmaceutical Databases" patented technology

A method and system to track medication containers as they are shipped and as the medication in the containers is dispensed and to verify that medication in containers is properly identified by using a unique container code associated with each medication container, to enter information about the medication in a medication database, and to later retrieve the information stored in the medication database about the medication allowing a determination to be made that the medication has been distributed in error or fraudulently, for example that the medication has not been properly registered in the database.

A medical practitioner creates a prescription using a handheld portable device. The device uses a plurality of interactive screens that display information such as lists of drugs. The medical practitioner enters patient information and selects from the list the desired drug to be prescribed. The device gives the practitioner access to a drug database that may be limited by the drugs prescribable by the medical practitioner. Once a prescription is created, the practitioner can select a drug dispensing location and communicate the prescription to this location. The drug database and the drug dispensing locations may be stored in a removable memory.

Provided are a system and method for presenting information related to a drug dilution. A computer memory stores a drug database with a plurality of drug entries, each of which includes an identification and concentration of a drug stored in an originating container. A reader is operable to read a barcode associated with the drug identifier of the originating drug container and the concentration and / or dose and volume of the drug in the container. A user selects or enters a desired drug preparation that may include one or more preparations of the originating drug requested for administration to a patient. A computer processor interprets the concentrate signal, identifies the concentration of the originating drug based on content included in the drug database, and determines a recipe to be presented to the user for preparing the drug including any required dilutions.

Provided is an apparatus for identifying a medicinal substance. A tray receives and concurrently supports a plurality of pills formed at least in part from the medicinal substance. A computer-readable memory stores a drug database including one or more identifying features for identifying different pills formed at least in part from different medicinal substances. A recognition device is arranged to interrogate the pills on the tray and detect at least one of the identifying features from the pills. A controller receives the identifying feature(s) detected by the recognition device and determines the identity of the medicinal substance from among the different medicinal substances in the drug database based on the identifying feature(s).

A drug inspection support apparatus inspects drugs that are prepared based on prescription information and are packaged in a prescription bag. A drug database stores drug master images of drugs that can be prepared. A first drug determination section compares drug master images from the drug database with a captured image obtained by capturing an image of prepared drugs, and determines drugs present in the captured image and the number of drugs. A list creation section creates a list displaying drug master images of drugs, which are prepared according to a prescription, and drug area images, which are determined to be respective drugs in a captured image, so that the positions thereof are aligned with one another.

Provided are a system and method for presenting information related to a drug dilution. A computer memory stores a drug database with a plurality of drug entries, each of which includes an identification and concentration of a drug stored in an originating container. A reader is operable to read a barcode associated with the drug identifier of the originating drug container and the concentration and / or dose and volume of the drug in the container. A user selects or enters a desired drug preparation that may include one or more preparations of the originating drug requested for administration to a patient. A computer processor interprets the concentrate signal, identifies the concentration of the originating drug based on content included in the drug database, and determines a recipe to be presented to the user for preparing the drug including any required dilutions.

A system and method for determining an individualized drug dosage is provided. The system includes a metabolic rate sensing means for sensing the metabolic rate of the individual. The system also includes a computing device having a processor, a memory, an input device, and a display device. The system further includes a data storage means operatively in communication with the processor, and the data storage means includes a drug database containing drug dosage data. The method includes the steps of determining a standardized dosage for a drug. The method also includes the steps of measuring the actual metabolic rate of the individual and determining a metabolic comparison factor by comparing the measured actual metabolic rate to a predetermined standard metabolic rate. The method further includes the steps of adjusting the standardized drug dosage using the comparison factor.

A drug inspection apparatus inspects drugs that are prepared based on prescription information and are packaged in a prescription bag. A drug database includes drug images of drugs that can be prepared. A comparison target selection section acquires drug images of drugs, which are prepared according to the prescription, and drugs similar thereto from the drug database. A first drug determination section compares captured images of prepared drugs with the drug images acquired from the drug database, and determines drugs present in the captured images and the number thereof. An inspection result determination section determines whether or not the prepared drugs and the number thereof match the prescription information based on the prescription information.

The invention discloses a Chinese medicine symptoms and signs differentiation medical system, which comprises a human-machine interface, a patient information collecting system and the connected ratiocination medical system, wherein the ratiocination medical system comprises four sub systems: a factor database and its management system, a sharp database and its management system, a treatment database and its management system and a drug database and its management system.

A medical monitoring system extracts characteristic information for one or more medications from an image of the one or more medications on an uncontrolled background, the image being taken by a client device associated with a user of the medical monitoring system. The medical monitoring system determines prescription information associated with a medication, of the one or more medications, using the extracted characteristic information and a medication database, the medication database containing mappings between prescription information and characteristic information for a plurality of medications. The medical monitoring system provides a portion of the prescription information to the client device.

A system and method for electronically verifying a patient's medication inventory comprises receiving an optical image of a medication label on a pill bottle or other medication container, translating said image into text data (e.g., comprising patient's name, medication name, dose, frequency and route of administration of medication); comparing the text data to known medications in a medication database and identifying any identical match. If no match is found, the system and method acts as an expert system to search the data in the medication database for historical user verified closest matches and to return the closest match with the highest user verified historical probability of being correct. The matched information is displayed to a user and the user is enabled to correct the information, if needed. The verified information is stored in a medication database.

A computer Chinese medicine prognosis disease inferring and prescription derivation system based on mathematics of Yin-yang and five elements comprises an existing disease symptom input module, a prognosis disease deducing-judging module, a medicament selecting module and a medicament database, wherein the medicament database stores the name, nature and taste, functions, mainly-treated symptoms, reference doses of each medicament as well as application-treatment correlation of each medicament with each visceral organ and symptom; the existing disease symptom input module provides an existing disease selection menu, so that a user can input a corresponding diseased visceral organ and the symptom by clicking the options of the existing disease selection menu according to the existing diagnostic result; the prognosis disease deducing-judging module transforms the diseased visceral organ and the symptom into existing disease semantic logic operators and conducts derivation operation thereon to obtain the un-diseased visceral organ and symptom expressed by prognosis disease semantic logic operators; and the medicament selection module obtains the diseased and un-diseased visceral organs and symptoms and selects medicaments according to the application-treatment correlation of each medicament with each visceral organ and symptom. The system realizes the standardization and automation of prognosis disease inferring and prescription derivation.

A method and system is provided for visualization and pictorial presentation to a user of possible interactions between a prospective drug that is being considered for prescribing to a person and that person's genotype. Genetic information of the person that can affect the manner in which a drug acts on a molecular, physiological or biological function of the body or a tissue, or a manner in which a drug is being metabolized, absorbed, excreted or otherwise eliminated from the body or a tissue by the body or tissue systems, is entered into a computerized device. The computerized device conducts a search of a drug database for drugs that have known interactions with the entered genetic information, and assigns a numeric value to each of a plurality of drugs, either in aggregate, as a class, or individually, in order to quantify the nature, strength and direction of each interaction. The computer sends the assigned numeric values to the computer's output module for their visual presentation to a user as a graph including a panel of columns, or other geometrical structures, whose geometrical characteristics correspond to the assigned numeric values of each drug, in order to facilitate the prospective drug selection by a prescriber on the basis of the totality of drug-gene and / or drug-drug interactions presented to the user as a visual graph.

The invention discloses a system for improving the metering accuracy of newborn intravenous nutrition injection. The system comprises an operation system body which is used for receiving data of an input device and connected with an internal storage. The internal storage is connected with a display device and a WIFI communication device. The operation system body and the internal storage are further connected with an ARM processor. The WIFI communication device is communicated with a server database and a wireless printer. The operation system body comprises a self-definition module, a computing module, a recording module and a comparison module. A medicine database, a therapeutic scheme database, a sick child case database and a therapeutic scheme data fusion module are arranged in the internal storage. Standard intravenous nutrition parameters are provided, a standard therapeutic scheme is given, the possibility that a fault judgment result is output is lowered, and various defects caused by insufficient experience and work strain are overcome.

Provided is an apparatus for identifying a medicinal substance. A tray receives and concurrently supports a plurality of pills formed at least in part from the medicinal substance. A computer-readable memory stores a drug database including one or more identifying features for identifying different pills formed at least in part from different medicinal substances. A recognition device is arranged to interrogate the pills on the tray and detect at least one of the identifying features from the pills. A controller receives the identifying feature(s) detected by the recognition device and determines the identity of the medicinal substance from among the different medicinal substances in the drug database based on the identifying feature(s).

The invention discloses a medicament combination predicting algorithm based on a medicament similarity network, wherein the algorithm mainly settles a problem of low accuracy of a medicament combination predicting result in prior art. The medicament combination predicting algorithm is characterized by comprising steps of downloading data from a medicament database, constructing the medicament similarity network; downloading data from a medicament combination database; obtaining a network importance score based on medicament combination data and the medicament similarity network; obtaining a total set of random walk paths of multiple networks by means of a biased random walk algorithm, and training the total set of the random walk paths for obtaining a medicament node characteristic vector; training the medicament combination data and the medicament node characteristic vector by means of a random forest model, and obtaining a medicament combination predicting model; and inputting medicament pair data into the medicament combination predicting model, obtaining a medicament pair score, and using the medicament pair with score which is higher than 0.5 as a cooperation medicament combination. The medicament combination predicting algorithm improves medicament combination predicting accuracy and can be used for predicting the cooperative medicament combination candidate.

The invention provides a drug interaction relationship extraction method and system based on external knowledge, and the method comprises the following steps: carrying out the analysis and processingof the content of a drug database, extracting and generating interacted drug pairs, storing all drug description information, and forming a drug interaction data set with the drug description information; constructing a drug description system information training model, and performing training through the drug interaction data set to obtain and store an optimal model; combining the optimal modelwith a BiLSTM-Att-CapsNet model, so that an EK-BiLSTM-Att-CapsNet model can be obtained, meanwhile, drug entities of the drug interaction data set are recognized, corresponding drug description information is found in a drug database and stored, and finally, the combined model is trained to obtain a final relationship extraction model. According to the method, the problem of large difference of extraction results of different relationship categories can be relieved, and the extraction effect is improved.

The invention provides a traditional drug toxicity evaluation method and a system thereof. A qualitative forecasting method comprises the following steps of: (I) determining the chemical components of a to-be-evaluated traditional drug; and (II) evaluating the toxicity according to the chemical components of the traditional drug. An evaluation forecasting system at least comprises an input module, an output module, a storage module, a traditional drug database, a toxic compound library, a compound toxicity forecasting module and a data processing module. The system and method can accurately forecast the toxicity risk of the drug in research in time for development of a traditional drug, and greatly save money and time; and the system and method provided by the invention also can be used for improving the formula of a traditional drug. The framework of the system provided by the invention has good flexibility and expandability, and can be conveniently used for forecasting other biological activities of the traditional drug.

A medical information handling system executes a medical application with which a client device is communicatively coupled to support presentation of a graphical user interface for the medical application in a display of the client device. The medical information handling system also executes an injection engine. The injection engine retrieves data from a remote data source among a set of data sources including a pharmaceutical database, an insurance database, and a public health database and correlates the retrieved data with at least one medical input entered via the graphical user interface. The injection engine selects a message content from among a positive message, negative message and neutral message based upon the at least one medical input and the retrieved data and injects into the graphical user interface a message containing the selected message content.

The invention discloses an ADR auxiliary decision-making system based on deep learning, and the system comprises a drug database module which is used for obtaining and storing drug information and related adverse drug reaction information; the CHPS drug evaluation module is used for exporting perfect adverse drug reaction data on the basis of a CHPS system; the deep learning module is used for learning adverse drug reaction data exported from the CHPS drug evaluation module; the auxiliary evaluation and risk early warning module is used for comparing the input certain medicine information by using the deep learning module; the medication decision-making module is used for carrying out medication decision-making judgment after passing through the auxiliary evaluation and risk early warning module and giving information about whether medication is carried out or not; the feedback module is used for feeding back the related physical sign data of the patient after medication and the dosage and frequency data of medication to the deep learning module; the system can make decision analysis and risk management on medication based on deep learning while improving and perfecting adverse drug reaction data.

The invention provides a screening method for precise therapeutics of the liver-metastasis triple-negative breast cancer. The method comprises the following steps: acquiring RNAs from the liver-metastasis tissue of patients with the liver-metastasis triple-negative breast cancer and further acquiring the gene information of the RNAs; finding out genes with high expression exceeding normal liver gene expression from the gene information; carrying out data mining on the high-expression genes so as to obtain the gene expression profile of breast cancer liver-metastasis tissue of the patients andthe gene expression profile of primary ductal breast cancer; subjecting the gene expression profiles to topology analysis so as to obtain corresponding genomic imprinting expression; and finding out drugs targeting to the genomic imprinting expression from a drug database and screening out precise therapeutics for the liver-metastasis triple-negative breast cancer of the patients according to thelaws of Chinese government. The screening method provided by the invention is clear and simple and is easy to operate; and the screened therapeutics are high in precision, good in prognosis effect andlow in side-effect and bring good news to patients with the liver-metastasis triple-negative breast cancer.

A dynamic pharmaceutical data distribution method includes establishing a communicative coupling between a dispensary computing system that monitors drug lifecycle data for drugs distributed by the dispensary, and both a compliance computer information system that manages lifecycle events for different ones of the drugs based upon serialized information for the drugs, and also a product information network that provides access to drug data from a multiplicity of different drug data repositories for respectively different manufacturers of the drugs. The method also includes receiving and storing status information in the dispensary computing system for different ones of the drugs from the compliance computer information system. Then, a device of a consumer is registered with respect to a specific one of the drugs by the dispensary computing system and the status information for the specific drug and the received drug data are transmitted to the device.

The present disclosure relates generally to discovery of novel compounds involved in the treatment and prevention of suicidality by bioinformatics drug repurposing using novel genes expression biomarkers involved in suicidality. Disclosed are methods for assessing severity, determining future risk, matching with a drug treatment, and measuring response to treatment, for suicidality. Also disclosed are new methods of use for drugs and natural compounds repurposed for use in preventing and treating suicidality. These methods include computer-assisted methods analyzing the expression of panels of genes, clinical measures, and drug databases. Detailed herein are methods using a universal approach, in everybody, as well as personalized approaches by gender, and by diagnosis. The discovery describes compounds for use in everybody (universal), as well as personalized by gender (males, females), diagnosis (bipolar, depression), gender and diagnosis combined (male bipolar, male depression), male PTSD, male SZ / SZA), and subtypes of suicidality (high anxiety, low mood, combined (affective), and high psychosis (non-affective). Also disclosed are methods for identifying which subjects should be receiving which treatment, using genes expression biomarkers for patient stratification and measuring response to treatment. The disclosure also relates to algorithms, universal and personalized by gender and diagnosis. The algorithms combine biomarkers as well as clinical measures for suicidality and for mental state, in order to identify subjects who are at risk of committing suicide, as well as to track responses to treatments. The disclosure further relates to determining subtypes of suicidality. Such subtypes may delineate groups of individuals that are more homogenous in terms of biology, behavior, and response to treatment.

The present invention relates to a medication management device and a corresponding medication management method. The proposed device comprises an imaging unit (12) for capturing images of a medication (1), a medication identification unit (14) for identifying said medication (1) by use of one or more captured images including said medication (16) based on a medication database, and a display (16) for displaying in real time captured images of said medication and overlaid medication information about said medication including medication identification information obtained by said medication identification unit (14).

The present invention relates to a medication management device and a corresponding medication management method. The proposed device comprises an imaging unit (12) for capturing images of a medication (1), a medication identification unit (14) for identifying said medication (1) by use of one or more captured images including said medication (16) based on a medication database, and a display (16) for displaying in real time captured images of said medication and overlaid medication information about said medication including medication identification information obtained by said medication identification unit (14).

A smart card for assignment to a patient, comprises a processor, a memory and an interface for input and output of data. The card holds patient drug usage information, and obtains data from an external drug database regarding drugs stored in the usage information. The card calculates a warning about adverse drug interactions between any two drugs on the card; and a suggestion for one or more further drugs. The suggestion is based on the patient drug usage information.

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 invention provides an intelligent pharmaceutical service machine which comprises the components of: a scanning module which is used for scanning a to-be-scanned file of a patient for acquiring corresponding scanning information; a storage module which is used for storing scanning information that is acquired by the scanning module; a control module which is used for acquiring medicine serviceinformation that corresponds with the scanning information stored in the storage module according to a pre-stored medicine database, and outputs the medicine service information to a display module; and the display module which is used for outputting the medicine service information which is acquired by the control module and corresponds with the scanning information and performs displaying for facilitating the patient in acquiring the medicine service information.

The invention relates to an adverse event and medication relevance judgment method and system. The judgment method comprises the following steps: establishing a drug database, setting an adverse reaction coding rule, coding adverse reactions of drugs in the drug database, and judging the relevance between input adverse reactions and used drugs according to drug information and adverse reaction codes in the drug database. According to the adverse event and medication relevance judgment method, relevance judgment can be rapidly carried out on the adverse event and medication information to obtain a judgment result, and suspicious adverse reactions can be recorded and judged in time.