56 results about "Medication error" patented technology

A closed loop medication use system and method includes selecting a medication to prescribe to a patient based on patient information, such as laboratory results, radiology results, and patient allergies, healthcare industry practices, patient-care site specific guidelines, and medication information. The selected medication is prescribed on an unverified prescription order that is then transcribed. Transcribing includes performing multiple crosschecks of the prescription order to real-time patient information, healthcare industry practices, and medication information to generate a verified prescription order. After transcribing, the appropriate dispensing method is determined for the prescription order and dispensed. The dispensed medication is administered after confirmation by the administering clinician of the right patient, right medication, right dosage, right route, and right time. The whole process of medication use described above is monitored continuously in real-time. The monitored information is communicated to the prescribing, transcribing, dispensing and administering parts of the system.

The present invention relates to the development and use of a global database system for the authentication of pharmaceutical material, the detection of counterfeit pharmaceutical material and the detection of medication errors. The database is not limited to any particular species of data. A central facility maintains the global library and communicates with users of the database.

Systems, methods, and devices for using body-worn RFID tags related instrumentation located in the premises where a monitored person is located to prevent or detect specific types of movements of the person, such as falls from which the person has not recovered, wandering, bed egress, attempted room egress, and medication errors. The body-worn RFID tags may include an upper body RFID tag located in a wrist band and a lower body RFID tag located in a sock worn by the monitored person. The RFID instrumentation located in the premises may include one or more antennas located in the floor, door, bed frame, and mattress. The systems may also activate response actions upon detecting specified movements, such as sending an alert message to a patient monitoring system, activating an alarm, activating an camera, and/or playing a recorded message to the person.

A medication administration system that includes a system of pillboxes, a pharmacy workstation, and a system of attendant workstation. The pharmacy workstation reads RFID or barcode tags on the pillboxes and medication wrappers containing medication units as the medication units are checked into the pillboxes to ensure that the pillboxes are filled in accordance the appropriate prescription regimens. The attendant workstations read the RFID or barcode tags on the pillboxes and medication wrappers as the medication units are checked out of the pillboxes to ensure that the medications are administered in accordance the appropriate prescription regimens. The attendant workstations may activate alarms, which may include communicating the alarms to a central monitoring station or mobile communication devices assigned to healthcare providers, when the determine that a pillbox in not correctly filled, when a medication has been checked out of a pillbox improperly, or when a medication has not been checked out on time.

A fully-automated system suitable for use in a hospital setting for filling patient-specific liquid prescriptions to be administered by oral syringes on a just-in-time basis. The system enables hospital pharmacists to simplify and streamline their task, increasing the number of prescriptions that can be filled in a day, improving patient safety and care by minimizing medication errors and the consequences that ensue.

Systems for use with a medical device for reducing medication errors are provided. In one aspect, a system includes a medical device that is configurable with operating limit parameters for providing medication to a patient, and a limiting system. The limiting system includes a memory that includes patient-specific information for the patient and a database includes acceptable operating parameters for providing the medication to the patient using the medical device, and a processor. The processor is configured to compare the acceptable operating parameters with the patient-specific information, and provide a modification of the operating limit parameters for providing the medication to the patient based on the comparison of the acceptable operating parameters with the patient-specific information. Methods and machine-readable media are also provided.

The invention discloses a clinical rational drug use risk assessment method based on big data of electronic medical records, which comprises the following steps: S1 extracting rational drug use records and wrong drug use events from electronic medical record data, according to the patient's physiological characteristics, disease diagnosis results, drug combination Based on factors such as drug use, automatically establish a risk assessment model for rational drug use such as drug dosage, drug interactions, and drug contraindications; S2 extracts corresponding patient physiological characteristics, disease diagnosis results, drug combination conditions, etc. from the new electronic medical records Factors, using the risk assessment model for rational drug use, to obtain individual drug risk assessment, to provide decision-making basis for clinical drug affairs management. The clinical rational drug use risk evaluation method of the present invention can automatically evaluate the clinical drug use risk, and the result is accurate and effective, and can provide decision-making basis for the practice of clinical rational drug use.

Medication errors happen frequently in hospital, home, and pharmacy environments. A medication verification and dispensing system provides protection against such errors. The apparatus includes a guide tube that receives a medication and imaging device(s) adjacent to the guide tube that take image(s) of the medication. The imaging devices(s) and light source(s) are oriented for capturing images that reveal markings, color, size, shape, etc., of the medication. A verification system uses a signature of the image to identify the medication or compares the image(s) to reference images to identify the medication and to a prescription record of the patient to ensure it is a correct medication, dose, amount, timing, etc., for administration. If the medication is correct, it is dispensed into a dispensing vessel that locks the medication inside, but unlocks when it recognizes a unique patient identifier worn by a patient that is a correct recipient for the medication.

The invention discloses a drug specification-based reasonable medication knowledge graph construction method, which comprises the following steps of S10, extracting a drug specification, and inducingentities and relationships in the drug specification through an expert labeling method to form an entity and relationship indexing rule base; S20, training a machine learning model through a semi-supervised learning method on the basis of data labeled by experts and machine learning rules; and S30, using the trained machine learning model to predict and label the unlabeled drug specification to form a knowledge graph of the drug relationship. According to the method, natural language processing and knowledge graph technologies are utilized, and the reasonable medication knowledge base is constructed based on the medicine specification, so that medication errors can be avoided, medical risks can be prevented, and the clinical medication safety can be improved. The method has an automatic construction capability, and the construction precision is improved through machine learning.

Systems for use with a medical device for reducing medication errors are provided. In one aspect, a system includes a medical device that is configurable with operating limit parameters for providing medication to a patient, and a limiting system. The limiting system includes a memory that includes patient-specific information for the patient and a database includes acceptable operating parameters for providing the medication to the patient using the medical device, and a processor. The processor is configured to compare the acceptable operating parameters with the patient-specific information, and provide a modification of the operating limit parameters for providing the medication to the patient based on the comparison of the acceptable operating parameters with the patient-specific information. Methods and machine-readable media are also provided.

A semi-automated system (100) suitable for use in a hospital setting for filling patient-specific liquid medication prescriptions from bulk medicine containers (104) into oral/enteral syringes (S) for administration on a just-in-time basis. The system enables hospital pharmacists to simplify and streamline their task, increasing the number of prescriptions that can. be tilled in a day, improving patient safety and care by minimizing medication errors and the consequences that ensue.

The label and labeling system provide a way to label containers and packaging for drug products in a manner that makes the drug readily identifiable and distinguishable for a clinician to help reduce the potential for medication errors. The study of product characteristics, usage behavior, environment and storage practices informs the design process and yields packaging and labeling that is tailored for a particular product and set of users. Information of particular importance for the clinician is emphasized through selective placement, orientation, and text size, among other characteristics. In addition, a design and color scheme may be employed to assist with proper dosage selection and reduce the potential of administering a wrong dose. Through the label and labeling system, at-a-glance accurate readability and product differentiation are enhanced.

A prescription analysis system and method are introduced. The prescription analysis system includes a knowledge database, an access module, a storage module, and a judgment module. The judgment module judges whether a new prescription is appropriate according to three prescription appropriateness criteria. The prescription analysis method is integrated in the prescription analysis system. Therefore, the prescription analysis system and method enhance the accuracy of prescriptions, reduce likelihood of medication errors, cut medical expenditure, and save patients' lives.

The invention discloses a clinical intelligent decision-making platform, which comprises a target parameter collection module used for collecting the medical history, medication history, current examination report, current physical state, medication allergy history, and details of a currently taken medicine of a patient; a treatment curve drawing module used for drawing a treatment curve accordingto the medical history and the medication history of the patient so as to obtain effective medicine components; a medicine recommendation module used for obtaining recommended medicines based on a BPneural network model according to the current examination report of the patient; and a medicine taking guidance module used for outputting a corresponding medicine taking guidance opinion according to the current examination report of the patient and the medicine recommended by the medicine recommendation module. According to the invention, accurate medication guidance can be output according todifferent conditions and requirements of patients, targeted medication can be realized while the workload of doctors can be reduced, damage to the bodies of the patients due to medication errors can be reduced, and the medicine effect can be improved.

A semi-automated system (100) suitable for use in a hospital setting for filling patient-specific liquid medication prescriptions from bulk medicine containers (104) into oral/enteral syringes (S) for administration on a just-in-time basis. The system enables hospital pharmacists to simplify and streamline their task, increasing the number of prescriptions that can be filled in a day, improving patient safety and care by minimizing medication errors and the consequences that ensue.

Label add-ons for decreasing medication errors and associated fatalities in the pharmacy dispensing process and for indicating the intended use of a drug in people ranging from the blind to the sighted, consisting of a circular, hollow, semi-flexible, ring-like material that is attached onto a prescription bottle. This invention serves as a vital safety-tool to the pharmacy dispensing process where duplicate medications become easily detected by the pharmacy personnel if device is properly attached to the prescription bottle. Imprinted, raised, or engraved legend in grapheme positioned over the outer surface of the device informs the reader the drug indication. Raised Braille coding and raised or engraved grapheme characters become vital in assisting the blind and visually impaired in identifying the drug through their sense of touch. Other distinctive features such as color, markings, and messages to uplift the mood on the apparatus, can further assist individuals in recognizing the correct drug indication. The apparatus can be reused from one prescription to the next if a patient desires a drug-refill.

The invention discloses an intelligent medication teaching method and system for hospital pharmacy. The method comprises the steps that a medication education database is established; the medication education database comprises medication information; a prescription issued by a doctor is obtained; matching is carried out on the medicine on a medication list of the prescription and the medication education database to generate a medication education two-dimensional code of the medicine on a physician's order sheet; the medication education two-dimensional code is printed on the physician's order sheet; the medication education of the medicine on the physician's order sheet is obtained by scanning the medication education two-dimensional code. A patient obtains the announcements and the likeof use or combination of the medicine by scanning the two-dimensional code embedded in the physician's order sheet, thereby achieving the intelligence and convenience of the medication education, ensuring the rational medication of the patient, improving the curative effect, and avoiding the medication error.

The inventions disclosed herein generally relate to methods and systems for dispensing ordered medication as well as methods and systems for conveniently and rapidly providing patients with information regarding their prescribed medications. The present inventions improve the productivity and efficiency of pharmacy department personnel and reduce the incidence of medication errors.

The invention discloses an auxiliary prescription system based on medical big data, and the system builds a disease database and a prescription database based on the medical big data, i.e., the system can query a disease matching word matched with the disease information in the disease database according to the disease information of a user, and finally carries out the query of the disease matching word in the prescription database. On the basis of the disease matching word and the age and gender of the user, a medical prescription most matched with the disease information can be searched in a prescription database; therefore, objective medication guidance can be provided for medical workers for the medication scheme of the patient, the probability of medical negligence caused by medication errors is reduced, meanwhile, remote treatment of the user can be facilitated for common diseases, the treatment time of the user is saved, medical resources are saved, and large-scale application and popularization are facilitated.

Systems and methods are provided for look-alike sound-alike medication error messaging. Prescription data relating to a prescription is parsed to identify a submitted drug product and a submitted daily dosage. An absolute dose screening process may be executed to determine whether the submitted daily dosage meets absolute dosing criteria for the submitted drug product. A typical dose screening process may be executed to determine whether the submitted daily dosage meets statistically derived typical dosing criteria for the submitted drug product and any look-alike sound-alike alternative drug products. In addition, one or more likelihood indicators may be assigned to the submitted drug product in relation to associated look-alike sound-alike drug pairs. If it is determined that the prescription should be rejected based on typical dosing criteria, absolute dosing criteria, or the likelihood indicator(s), a reject message may be built for presentation to the pharmacist.