35 results about "Medication name" patented technology

This invention relates to the dispensing, creation, and selecting of memory devices that are used with interactive medication containers, dispensers, reminders, or consoles that hold or otherwise organize one or more medication vials or containers. The memory device is attached or adhered to a medication container or vial and has information corresponding to medication and prescription information. The memory device can be prepared when a standard medication label is printed by a pharmacist and can be part of the standard printed label. In other instances the memory device is separate from the medication label. When separate, the memory device has a printed section that identifies the dosing schedule or medication name that corresponds to the reminder schedule the memory device is associated with. The pharmacist or the customer / patient can match the text printed on the memory device with the text of the medical container label to ensure the memory device is only attached to the correct medication container.

A system and method are provided to associate a medication name with an infusion pump and to communicate that association to a patient data management system (“PDMS”) for display and monitoring. In the case where the infusion pump does not contain a library of selectable medical fluid names that includes the name of the medical fluid to be infused, a separate computer will display a list of medical fluid names for the infusion pump and the operator may select the name of the medical fluid for that infusion pump. The computer will then continually associate that medical fluid name with that infusion pump and communicate the association to the PDMS. In the case where the infusion pump is capable of accepting an upload of new medical fluid names, the computer will upload an abbreviated list of fluid names so as not to overburden the computer with the transfer of large amounts of data.

This invention relates to the dispensing, creation, and selecting of memory devices that are used with interactive medication containers, dispensers, reminders, or consoles that hold or otherwise organize one or more medication vials or containers. The memory device is attached or adhered to a medication container or vial and has information corresponding to medication and prescription information. The memory device can be prepared when a standard medication label is printed by a pharmacist and can be part of the standard printed label. In other instances the memory device is separate from the medication label. When separate, the memory device has a printed section that identifies the dosing schedule or medication name that corresponds to the reminder schedule the memory device is associated with. The pharmacist or the customer / patient can match the text printed on the memory device with the text of the medical container label to ensure the memory device is only attached to the correct medication container.

A system and method are provided to associate a medication name with an infusion pump and to communicate that association to a patient data management system (“PDMS”) for display and monitoring. In the case where the infusion pump does not contain a library of selectable medical fluid names that includes the name of the medical fluid to be infused, a separate computer will display a list of medical fluid names for the infusion pump and the operator may select the name of the medical fluid for that infusion pump. The computer will then continually associate that medical fluid name with that infusion pump and communicate the association to the PDMS. In the case where the infusion pump is capable of accepting an upload of new medical fluid names, the computer will upload an abbreviated list of fluid names so as not to overburden the computer with the transfer of large amounts of data.

A medication dose calculator and method for comparing an inputted, ordered medication dosage with a known medication dosage range in a database including an input device for inputting a desired drug name, indicating whether the drug is for a child or an adult, an amount of the drugs that are ordered, the body weight or body surface of the patient, and a computing mechanism for determining the dose of the drug to be delivered. The medication dose calculator provides warnings when the inputted amount of drug exceeds the dosage range limits or is incorrect. The medication dose calculator converts an inputted drug unit of measure into a desired unit of measure. In addition, various methods for receiving, recording, storing, transmitting, transferring, and editing information along with various processes utilizing the medication dose calculator are disclosed.

A computer software system that provides a requester and a physician with information on available cost savings for therapeutic equivalents to a patient's medication is disclosed. The computer software system can include an information-gathering template, a system administrator module, a search engine, a database and a message delivery module. The information-gathering template can be accessible by a requestor that is paying for the patient's medication and have an input field for accepting a medication name. The system administrator module can receive the medication name from the information-gathering template and instruct the search engine to search the database for a cost associated with the medication name, any therapeutic equivalents to the medication name and their respective cost.

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.

The invention discloses a household intelligent medicine dispensing device and a medicine dispensing method. The device comprises a medicine containing mechanism, a medicine dispensing mechanism and amedicine storage mechanism which are located above the medicine containing mechanism, and further comprises a control system arranged on the medicine storage mechanism; a two-dimensional code moduleis used for scanning a bar code outside a medicine box to read the name, number, dosage and other parameters of medicine, the medicine is sorted according to the time periods and required dosages every day and categories through the medicine dispensing device, a main control board controls a motor to rotate, a rotating medicine cabin enables the medicine to fall into a medicine dispensing pipelinefrom the rotating medicine cabin, a medicine dispensing mechanical arm controls the dosage of the medicine falling into the medicine dispensing pipeline, and the medicine containing mechanism controls a medicine rotating disc of the medicine containing cabin to enable the medicine to sequentially fall into a medicine containing cabin. The device provides functions of detection alarm of temperature and humidity inside the medicine cabin and medicine taking reminding, and is convenient for a patient to take on time and carry outside.

A prescription medication monitoring system includes a card having a microprocessor and an RFID chip embedded therein. The chip and microprocessor are electrically connected to a text display and multi-digit display on the front surface of the card. The card operates in conjunction with a base terminal located at a participating pharmacy. The base terminal initially uploads a patient's prescription and personal information via a designated server. The terminal also scans the patient's finger to create a fingerprint image, and then records the uploaded information, including the scanned fingerprint image, onto the chip. Pertinent information relating to the prescription, such as medication name, dosage amount, dosage frequency and remaining authorized refills can be readily depicted on the displays. Each time the patient refills a prescription, the process is repeated and the pertinent prescription data, including any remaining authorized refills, is automatically updated and can be accessed via the text display.

The invention discloses a rapid identification method and system for adverse reactions of drugs based on big data. The rapid identification method for adverse reactions of drugs based on big data in the invention comprises the following steps: S11, acquiring adverse reaction data of a drug; S12, comparing the obtained adverse drug reaction data with a pre-stored drug name ontology knowledge base and an adverse reaction name ontology knowledge base to generate drug-adverse reaction distributed entity vectors; S13, according to the generated drug-adverse reaction distributed entity vectors, calculating a plurality of association degree values of the drug and an adverse reaction body; S14, solving a confidence interval of each association degree value according to the plurality of associationdegree values obtained by calculation, and comparing the confidence interval of each association degree value obtained by solving with a preset reference value to obtain a comparison result; and S15,judging whether the comparison result is greater than a preset threshold value or not, and if so, determining that the comparison result is an adverse drug reaction signal, or if not, conducting exclusion.

There are provided a dispensing inspection device, a dispensing inspection method, a program, and a recording medium capable of inspecting whether dispensing is appropriately performed with high reliability. By obtaining a first image captured by imaging a rear surface of a medicine sheet and a second image obtained by imaging a lateral side thereof, and a third image obtained by irradiating a front surface of a fractional medicine with light from an inclined lower side, detecting a medicine name using OCR and / or code recognition from the first image, detecting the number of medicine sheets from the second image, detecting the number of fractional medicines from the third image, detecting a total number of medicines from the number of the medicine sheets and the number of the fractional medicines, and determining whether a medicine name and the number of medicines in prescription information and the detected medicine name and the detected total number of medicines match each other.

The invention discloses a method and system for rapid identification of adverse drug reactions based on big data. Among them, a large data-based rapid identification method for adverse drug reactions involved in the present invention includes the steps of: S11. Acquiring adverse drug reaction data; S12. Comparing the knowledge base and the adverse reaction name ontology knowledge base to generate drug-adverse reaction distributed entity vectors; S13. According to the generated drug-adverse reaction distributed entity vectors, calculate several correlation degrees between drugs and adverse reaction ontology value; S14. According to the calculated several correlation degree values, the confidence interval of each correlation degree value is solved, and the confidence interval of each correlation degree value obtained by the solution is compared with a preset reference value to obtain a comparison result; S15 . Judging whether the comparison result is greater than a preset threshold, if yes, it is an adverse drug reaction signal; if not, it is excluded.

The invention relates to the technical field of medical follow-up visit, in particular to a chronic disease follow-up visit tracking method. The method comprises the steps that an intelligent medicine kit collects medical information of a patient and sends the collected medical information to a follow-up visit management server, wherein the medical information comprises medication data; the follow-up management server receives the medical information and stores the medical information in a database; the management terminal requests and checks the medical information stored in the follow-up management server, the medication data comprises medication time, dosage, medication name and medication adverse reaction data, and the medication adverse reaction data comprises adverse reaction attack time, adverse reaction expression and adverse reaction duration. According to the chronic disease follow-up visit tracking method provided by the invention, various medication data of the patient can be acquired in real time, the objectivity and authenticity of the follow-up visit data are improved, timely and accurate illness state judgment and analysis can be provided for a medical team through the acquired various data information, and a data support is provided for precise treatment of a chronic patient group.

The invention provides an inter-drug adverse reaction early warning method, early warning device and early warning system, and the early warning method comprises the following steps: constructing a Chinese and Western drug interaction ontology, and storing the constructed Chinese and Western drug interaction ontology in an ontology knowledge base; the Chinese and western medicine interaction ontology comprises a semantic type, an instantiated entity and a semantic relationship; constructing an inference rule based on description logic; the inference rule is constructed based on a corresponding interaction result in the interaction of the Chinese and western medicine types and the medicine components; acquiring a drug name, and acquiring associated information of the drug from the constructed Chinese and western drug interaction ontology; and judging the reactions between the drugs by using the constructed inference rule according to the association information of the drugs, and performing early warning of the adverse reactions between the drugs according to the judgment result. According to the method, the early warning efficiency of the adverse reactions between the drugs can be greatly improved, and the recall ratio and the precision ratio of the adverse reactions between the drugs are improved.

Systems and methods may for providing healthcare services are presented. An individual or medical provider may upload prescription information to the system. The prescription may include the medication name, the prescribed dosage, the dosage frequency, the expiration date, and / or the amount of refills available. The system may generate reminders for the individual based on the prescription information. The reminders may solicit responses from the user, to determine whether the user is taking the prescribed medication, as prescribed. The system may track the user's responses and use those responses to gauge the medications efficacy. The system may also receive health sensor data from monitoring devices associated with the user.

The invention relates to the technical field of text processing, in particular to a joint detection method for drug names and adverse drug reactions in web texts, and the method comprises the following steps: extracting local context information of the web texts to obtain local context representations of words in the web texts; extracting global context information of the web text to obtain global context representation of the web text; and based on the local context representation and the global context representation, utilizing a pre-trained classification model to identify an actual category of the web text, and obtaining a detection effect of the drug name and the adverse drug reaction in the web text according to the actual category. Therefore, the detection effect of the drug name and the adverse drug reaction in the web text is effectively improved.

The invention relates to an adverse drug reaction prediction system and method based on a knowledge graph, the system comprises a database module, a knowledge graph module and a prediction module, the database module is connected with the knowledge graph module, and the knowledge graph module is in interactive connection with the prediction module. The database module is used for constructing a database containing a plurality of drug names and corresponding adverse reaction data; the knowledge graph module is used for inquiring the adverse reaction of the to-be-detected medicine from the database and drawing a corresponding knowledge graph; judging whether adverse reaction conflicts exist among the plurality of to-be-detected medicines or not, and drawing a corresponding knowledge graph; the prediction module is used for predicting the potential adverse reaction of the to-be-detected medicine. Compared with the prior art, the method has the advantages that the known adverse reaction of the to-be-detected medicine can be quickly and accurately inquired, the potential adverse reaction of the medicine can be predicted, and meanwhile, the adverse reaction conflict among multiple medicines can be judged, so that the harm possibly generated by multi-medicine combination is avoided.

The invention discloses a medicine taking reminding method and system, a terminal and a storage medium. The method comprises the following steps: acquiring user medical record information of a hospital system, wherein the user medical record information comprises one or more of hospital information, doctor information, user information and treatment time; obtaining a medicine taking list accordingto the user medical record information of the hospital system, wherein the medicine taking list comprises medicine names, medicine taking time and medicine taking doses; generating medicine taking reminding information according to the medicine taking list, wherein the medicine taking reminding information comprises one or more of names, medicine taking dosages, side effects and matters needing attention of medicines needing to be taken by the user; performing medicine query matching. A medication list can be obtained according to medical record information, a user is reminded to take medicine according to the medication list, meanwhile, medicine information can be obtained, whether the medicine is the medicine needing to be taken or not is determined, and the efficiency of finding the medicine needing to be taken by the user is improved.

The invention relates to a drug sensitive batten which comprises a drug sensitive batten body, as well as at least 12 concave holes which are arrayed in a column, wherein the same antibacterial drug with gradient concentration subjected to doubling dilution is added into the 12 concave holes respectively; the gradient concentration subjected to doubling dilution comprises an MIC explanation standard and a quality control allowable range; the drug sensitive batten further comprises a drug name identification area and drug concentration identification areas. The invention also provides a preparation method of the drug sensitive batten. The drug sensitive batten can be independently used without an instrument, and is flexible in application; the standard operation is adopted, and drug sensitivity results are accurate and reliable; the MIC value of drugs can be measured, and the requirements of hospitals for daily indoor quality control can be met; the operation is simple and convenient, free combination can be realized as required, and the research and use are facilitated.

The invention discloses a method and device for automatically discovering drug components based on drug name mining. The method comprises the steps of according to a medicine component entity matchingmodel, matching a to-be-mined universal medicine name set, and obtaining to-be-mined universal medicine names without corresponding component entities and candidate component entity sets corresponding to the to-be-mined universal medicine names, wherein the candidate component entity set comprises at least one candidate component entity; scoring each candidate component entity in the candidate component entity set according to a scoring mechanism; selecting N candidate component entities with the highest scores as effective candidate component entities corresponding to the to-be-mined universal drug names, wherein N is an integer greater than 0. According to the invention, the technical problem of automatically discovering new drug components through drug general names is solved.

The embodiment of the invention provides a method for constructing a medical adverse reaction data warehouse, and the method is characterized in that the method comprises the steps: obtaining medical data including drug names and adverse reaction descriptions of drugs represented by the drug names; based on a preset medical expression dictionary, processing the content of the medical data into standard medical data to obtain a standard medical data layer; mapping the standard medical data of the standard medical data layer into standard data conforming to a standard expression form to obtain a standard data layer; wherein the standard expression form at least follows E2B R3; constructing a data warehouse comprising a dimension table and a fact table which are associated according to the standard data of the standard data layer; wherein the dimension table comprises dimension data used for representing the adverse drug reaction trend, and the fact table comprises measurement data used for data statistics of the dimension data. According to the embodiment of the invention, the pharmaceutical enterprise can carry out multidimensional OLAP analysis on adverse drug reactions.

The invention relates to a method for reminding a patient of the influence of medicine use on inspection items in a hospital inspection report, which comprises the following steps of: 1, constructing a medicine influence inspection item knowledge the knowledge base comprises a plurality of items, and each item comprises a medicine name, an affected inspection item name, an influence direction and the like; 2, constructing a drug influence test item query system: when a test report number is input on a system query page, automatically judging whether a test item in the report is influenced by drugs by the system; and if yes, automatically displaying on the page. 3, adding entries of the medicine influence inspection item knowledge the inspectors can report the entries of the medicine influence inspection items at any time, and the entries are added to the medicine influence inspection item knowledge base after being audited by the appointed personnel; in conclusion, by constructing the medicine influence inspection item knowledge base and the medicine influence inspection item query system, the inspection items influenced by the medicine can be automatically judged and reminded.

The invention provides a replacement medicine determination method and device and a storage medium. The method comprises the following steps: acquiring an electronic prescription, and identifying medicine names and diagnosis information of medicines in the electronic prescription; according to the drug name of the drug, determining whether the inventory of the drug in a pharmacy is sufficient; if it is determined that the inventory of the medicine is insufficient, a replaceable medicine associated with the medicine name of the medicine is determined from the pharmacy according to the medicine name of the medicine; the PH value of the wounded wound is obtained, and the first healing degree of the wounded wound is determined; and according to the first healing degree of the wounded wound and the diagnosis information in the prescription, determining a replacement drug from the replaceable drugs. According to the method and the device, the replacement medicine can be quickly determined when it is detected that the pharmacy is lack of the related medicine, the medicine matching accuracy and efficiency are improved, and thus the diagnosis and treatment efficiency of the pet is improved.

The invention discloses a medicine taking box capable of reminding old people, relates to the technical field of medicine taking boxes. In order to solve the problems that at present, old people generally judge names of medicines according to usual medicine taking experiences and then appearance of medicines, but some old people have poor memory and wrongly member the appearance or doses of medicines easily, as a result, the old people take wrong medicines and the physical health of the old people can be greatly affected, the following scheme is provided: the medicine taking box comprises a medicine box body and a card box slot, wherein a card box is embedded in the card box slot, and medicine cards are nested and connected in the card box. By the design of the medicine cards, names and doses of medicines stored in a medicine storage chamber can be written on the medicine cards, so that the problem that the old people takes wrong medicines is solved; and by the design of the card box,clamping storage of the medicine cards is facilitated; and by the design of the card box slot, the card box can be stored in the medicine box body and taken out conveniently at any time.

The invention discloses a standardized diagnosis and treatment center authentication and examination system based on an AI diagnosis and treatment follow-up visit system, and the system comprises the steps: firstly inputting a medical record of a patient, selecting a scheme through a standardized AI decision, tracking and collecting an actual treatment scheme of the patient through a follow-up intelligent treatment follow-up visit system, and then comparing the actual treatment scheme with an AI decision scheme. According to the scheme, weights are compared and sorted in a unified manner, hospitals meeting an access threshold are sorted according to grades, and grade evaluation is completed according to illness state grading, so that automatic matching of patients and hospitals can be completed, the accuracy of patient hospital grading matching is improved, medical resources are effectively saved, the illness state triage working efficiency of the patients is improved, through the actual patient medication name and medication cycle obtained from the haixin AI standardized follow-up decision system and the medication prescription data packet obtained from the examination hospital operation platform, the corresponding hospital is automatically matched, and the matching efficiency is improved, so that a basis is provided for subsequent tumor industry standardized hospital department authentication.

The invention relates to a child intelligent medicine box convenient for remote diagnosis and treatment. The intelligent medicine box comprises a controller module, a storage module, a medicine identification module, a medicine taking module, a display module, a communication module and a medicine placing cavity; the prescription information is input and stored through the storage module; the medicine identification module identifies the medicine name within each drug cavity; the medication taking module records medicine taking information each time; the display module displays the prescription information, medicine name identification information, medicine configuration flow and key point hint, and medicine taking information; and the communication module transmits the data of patient information, medicine taking and dispensing dosage, medicine taking time and frequency and related condition monitoring data back to a hospital. By virtue of the intelligent medicine box, medicine taking, medicine mixing, medicine dosing, medicine taking time and the like can be recorded in detail, and the medicine dispensing flow operation is prompted to record the disease monitoring data, so that medical staff can know the whole medicine use process of a patient and judge the relevant illness condition, the medicine taking error is reduced, the medicine taking of the patient is monitored, and medical diagnosis and treatment are assisted.

The present application relates to a drug indication query method, device, computer equipment and storage medium. By obtaining the query instruction of the drug indication, and the query instruction includes the name of the drug, according to the name of the drug, the pre-stored drug-indication Obtain at least two drug indications corresponding to the drug name from the relationship data, and return at least two drug indications corresponding to the drug name. Drug indications include not only common original medical indications, but also some new use indications that appear less frequently, which solves the technical problem of incomplete query results in traditional technologies.

The invention relates to a drug interaction modeling and risk evaluation method, terminal equipment and a storage medium. The method comprises steps that S100, a drug combination list from an electronic medical record database is obtained, and a drug interaction risk evaluation model is constructed according to the drug combination status therein; S200, to-be-inquired drug names are inputted in the drug interaction risk evaluation model, if the drug interaction risk evaluation model already has the drug combination status information of the to-be-inquired drug group, the corresponding drug interaction risk evaluation information is outputted; S300, if not, the component information of drugs in the drug group is utilized to construct a drug similarity matrix, in combination with the drug similarity matrix and the drug interaction risk evaluation model, the corresponding drug interaction risk evaluation information is outputted. The method is advantaged in that the drug interaction riskevaluation information is outputted through the drug interaction risk evaluation model, and accurate and effective decision basis is provided for reasonable clinic drug combination.

The invention discloses a clinical drug effect evaluation method based on big data. The method comprises big data establishment and operation evaluation, big data establishment refers to establishmentof a patient evaluation system, and operation evaluation refers to standard filling and operation of the system by a patient and drug selection and drug dosage determination. The big data establishment comprises the following steps: (A) determining drug name and drug dosage; (B) recording diseases of a patient and the state of the patient; (C) establishing a corresponding drug-related CYP450 genepedigree; (D) recording the congenital evaluation of the patient; (E) recording a symptom evaluation report. The operation is easy; through similarity comparison, the drug and the drug dosage which are optimal with the disease condition of the patient can be accurately selected, it can be guaranteed that the patient is cured to the maximum extent, disease deterioration caused by mistaken selection of the drug or the drug dosage is avoided, the health of the patient is guaranteed, operation is convenient, and medical resources are saved.

The invention relates to a method for realizing medication guidance and doctor-patient information interaction based on a QR code, and the method comprises the steps: generating the QR code containingmedication guidance information according to a prescription given to a patient before a medicine is given, and then enabling a QR code printing piece and the medicine to be transmitted to the patienttogether. When a patient takes medicine, a preset application program in the intelligent terminal is used for scanning and recognizing the QR code on the printed piece so as to extract the medicine taking guidance information contained in the QR code, then the medicine taking guidance information is displayed through the intelligent terminal, and the intelligent terminal can also receive the operation of a user on the displayed doctor contact information so as to achieve doctor-patient information interaction. According to the system, medication guidance information such as medicine names, usage and dosage, patient identities and doctor contact information can be associated through the QR codes, the QR codes are automatically generated by the system, and the problem that traditional medical advice labels are prone to making mistakes when being filled in a pharmacy can be avoided.