30 results about "Medication list" patented technology

Interactive clinical support instances allowing customizability are provided. Upon identification of a patient, stored clinical information associated with the patient is accessed. Instructions are received from the user regarding presentation of the accessed clinical information. The accessed clinical information is then presented in accordance with at least one of the received presentation instructions. The presented clinical information may relate to acute and / or ambulatory venues of care and include one or more of order, medication, and historical information relating to the patient.

A prescription software component, optionally incorporated into a physician accessible and updatable database of patient medical information and which, in cooperation with an interactive process server, issues a wireless medication reminder message to a patient. The prescription component to the program can operate as either a sub-component of the medical compliance system or can function as a stand-alone program and provides a readily accessible list of patient medications, allowing for updates to be made by a physician or authorized health care provider and incorporated into the patient's list of medications, such as via the Internet on a secured company hosted website, without the patient being required to schedule an office visit. The medications list can include, in non-limiting fashion, brand / generic name of medication, strength (mg), frequency of dosing, instructions, start / end date for pharmaceutical therapy, number of authorized refills, known allergies, etc.

Systems and methods provide for the preemptive determination of the potential of atypical clinical event occurrence related to administering of medications to a person. One method involves receiving a list of possible medications that may be administered to the person during a medical procedure. Subsequently, the medication list is compared to information in the person's medical record. Based on this comparison, a determination is made as to whether one or more matches exist between any of the medications included in the list and the medical record information, the match relating to the potential of an atypical clinical event occurring if the associated medication were to be administered to the person. If a match in fact exists, a response is outputted relating to each match.

The invention relates to the technical field of digital medical treatment, and provides an artificial intelligence-based medication recommendation method and apparatus, an electronic device and a medium. The method comprises the steps of receiving voice information input by a patient, inputting the voice information into a dialect recognition model corresponding to a dialect type, and outputting target text information, performing entity identification on the target text information to obtain an entity identification result; determining an initial medication recommendation list according to the entity identification result and the drug knowledge graph; performing safe medication detection on all medicines in the initial medication recommendation list according to a plurality of preset safemedication detection rules to obtain a final medication recommendation list; generating a target medication list of the patient when a confirmation operation of the patient on the final medication recommendation list is received. According to the method, the voice information of the patient is input into the corresponding dialect recognition model for recognition, the recognized entity is input into the medicine knowledge graph to screen out the recommended medicine, and therefore the accuracy of medicine recommendation is improved.

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.

A method for managing medication, comprising the steps of: providing a server having databases, including a drug-to-drug interaction database, a drug-to-allergy interaction database, and a database of user profiles; detecting a current time of a first user, the first user being associated with a first user's profile within the database of user profiles, wherein the first user's profile comprises a medication list; providing a medication dispenser adapted to store and dispense medication associated with a first medication prescription of the medication list, the first medication prescription having a set of instructions for consumption by the first user; adding the first medication prescription to the first user's profile; implementing a reminder schedule according to the set of instructions and the current time detected; sending consumption reminder notifications to the first user according to the reminder schedule; and tracking adherence by the first user to the set of instructions.

The present invention includes methods and system for improving a medication adherence rate of a patients including constructing a medication list for the patient and notifying the patient of each dosing event. A response or non-response of the patient to the notification is recorded and a medication adherence rate for each patient is calculated and displayed to the patient and / or medical professional.

A medication list management and electronic prescribing system incorporates a method of generating tamper-evident prescriptions on paper. Using password protected web pages, health care workers or patients can cause the transmission of machine-readable protected health information from the inventive system to another information management system using the tamper-evident prescriptions described. Non-participants can verify the authenticity of printed protected health information but are not able to create the automated transmission of this information from the inventive system to another information management system. This transmission of machine-readable protected health information has an economic value that is sufficient to be used as an inducement to health care providers across the industry to use a common information technology platform to accomplish such tasks.

A medication list management and electronic prescribing system incorporates a method of generating tamper-evident prescriptions on paper. Using password protected web pages, health care workers or patients can cause the transmission of machine-readable protected health information from the inventive system to another information management system using the tamper-evident prescriptions described. Non-participants can verify the authenticity of printed protected health information but are not able to create the automated transmission of this information from the inventive system to another information management system. This transmission of machine-readable protected health information has an economic value that is sufficient to be used as an inducement to health care providers across the industry to use a common information technology platform to accomplish such tasks.

The embodiment of the invention provides a prescription treating method and device and a prescription treating device. The method specifically comprises the steps that in response to a medication listgeneration request, an image corresponding to a target prescription is acquired; the textual information of each drug in the image is identified through a text recognition technology; a medication list corresponding to the target prescription is generated based on the text information; the medication list includes the drug name, time of taking, each dose, and number of days required for each drugin the target prescription; and when the time for taking each drug included in the medication list is reached, a prompt message is issued. According to the embodiment of the invention, the efficiencyof medication reminding can be improved.

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 5G and Internet-of-Things based intelligent bedside extension set system for a smart hospital. The system comprises a control instrument and an intelligent detection machine. The control instrument is disposed at the bedside of a sickbed; and the intelligent detection machine is provided with a plurality of detection heads for detecting vital signs of a patient, and is also provided with a detection processor. The control instrument not only can perform information interaction with the detection processor, but also can control the detection heads to act through the detection processor. The detection processor transmits vital sign information detected by the detection heads to a hospital platform system through a 5G wireless signal. The control instrument can directly display information obtained by the detection heads. The control instrument can also display a diagnosis result, a medication list and discharge information. The detection heads are not led out by leads, and the detection heads transmit detection information to the detection processor through 5G. The system has the advantages of being easy to operate, high in automation degree and capable of saving manpower resources.

A method, computing device and computer program product are disclosed to provide medication information in conjunction with an electronic health record of a patient. In the context of a method a user is permitted to access the electronic health record of the patient and a medication catalog is displayed within the electronic health record of the patient. The medication catalog includes a current medication listing of one or more current medications for the patient, a historical medication listing of one or more historical medications for the patient and a favorites listing of one or more favorite medications of the user. The method also includes receiving user input via a selection of a respective medication included in the current medication list, the historical medication listing or the favorites listing in order to alter a prescription of the patient.

The program directs a computer processor to implement a program that manages a device. The program stores a medication listing, together with medication consumption instructions. The program monitors one or more medication containers, which contain at least one medication for the patient. The program receives medication consumption data of the patient, including the name of the drug consumed, the quantity, and the time that the patient last consumed the one or more medications. The program receives patient condition data from one or more monitoring devices in real-time, which includes at least one measurement of a medical vital sign of the patient. Based on the patient condition data, the program recommends that the patient consume a dosage amount of a medication at a designated time, from the one or more medication containers, or locks the one or more medication containers to prevent an adverse drug reaction or overdose in the patient.

A system and method to determine and reconcile medication provided to a patient is disclosed. The system and method collect a medication image file (MIF) of a patient medication collection (PMC) using a mobile user device (MUD) and pill source imager (PSI). The MUD transmits the MIF to a host computer system (HSC) via a computer communication network (CCN). The HSC isolates individual MIF medication image elements (MIE) and compares each MIE against a pill image database (PID) to generate a potential pill match (PPM) list. The PPM is filtered and prioritized to produce a prioritized medication list (PML) using data from a pill correlation database (PCD), patient history database (PHD), and medical reading database (MRD). The PML describes probable PPM associations with specific known medications. A HCS graphical user interface (GUI) permits validation of each MIE / PML pair to produce a patient reconciled validated medication list (VML).

The invention relates to the technical field of artificial intelligence, is applied to the field of smart medical treatment so as to promote construction of a smart city, and discloses a medicine information pushing method and device, computer equipment and a storage medium. The method comprises the following steps: inputting personal feature information of a target push object into a preset drug recommendation model to obtain a drug recommendation list comprising at least one recommended drug list, wherein one recommended drug list corresponds to one drug reimbursement proportion; when it is judged that replaceable medicine information exists in the recommended medicine list according to the target medical insurance medicine list, selecting to-be-replaced medicine information from the target medical insurance medicine list; replacing the replaceable drug information with the to-be-replaced drug information to obtain a replaced drug list and a replacement reimbursement proportion corresponding to the replaced drug list; and selecting a replacement medicine list according to the replacement reimbursement proportion and pushing the replacement medicine list to the target pushing object. The efficiency of determining the medicine list and the medicine reimbursement proportion of the patient are improved.

The invention discloses a real-time remote ear-nose-throat endoscopy method and system. The real-time remote ear-nose-throat endoscopy system comprises a base; a fixed box is fixedly installed at the upper end of the base; a packaging mechanism is fixedly installed on the outer wall of the base; a nasal endoscope assembly is fixedly installed at the upper end of the front face of the fixed box; a central chip generates information into a pathological report through a report processing module, is connected with the Ethernet through a WIFI module, or is connected with mobile equipment through an infrared module, an NEC module or a Bluetooth module, and uploads the pathological report to a server through a patient client, and a doctor logs in a doctor client through networking equipment such as a computer and the like; the client side is used for extracting the pathological report for remote diagnosis, target medicine is listed according to symptoms after diagnosis is completed, and a diagnosis result, a treatment mode and a medicine list are uploaded to the server, so that a patient can conveniently use the patient client side to extract and check the diagnosis result, the treatment mode and the medicine list through the server, the doctor can conveniently diagnose the patient, and the patient can conveniently see a doctor.

The invention provides a big data-based adverse drug reaction rapid identification and disposal method and system, and relates to the technical field of adverse drug reaction query. The big data-based adverse drug reaction rapid identification system comprises an adverse drug reaction list collection module, an adverse drug reaction clinical manifestation input module, an adverse drug reaction corresponding treatment method input module, a clinical verification module, a cloud uploading storage module, an identification query terminal and a clinical reaction input module. The identification query terminal is respectively connected with the clinical reaction input module and the cloud uploading storage module, and the cloud uploading storage module is in signal connection with a clinical verification module. By establishing an adverse drug reaction joint query system, adverse drug reactions found by all medical units are uploaded and summarized And the treatment scheme is verified, so that other medical units can conveniently refer to the treatment scheme, the adverse drug reaction can be treated in time, and the treatment rate of the adverse reaction is improved.

The invention discloses a high-risk drug management method for the oncology department. The method comprises the steps of acquiring first illness state information of a first user; obtaining a first medication list according to the first illness state information; judging whether the first medication list contains a first high-risk drug or not; if the first medication list contains the first high-risk drug, obtaining inventory condition information of the first high-risk drug; obtaining a first verification code according to the inventory condition information of the first high-risk drug; obtaining a first treatment plan according to the first illness state information; verifying the first verification code according to the first treatment plan; and if the first treatment plan passes through the first verification code, obtaining the use permission of the first high-risk drug. The problems that high-risk drugs are improperly stored, time and labor are wasted during manual operation, and the management efficiency is low are solved.

The invention discloses a drug reforming method based on an elderly diabetic patient, and belongs to the technical field of safe medication management of patients. The method comprises the following steps: S1, collecting and obtaining a medication history and a medication list; s2, collecting and acquiring a medical treatment list; s3, confirming the medication list; s4, confirming the medical treatment list; s5, acquiring clinical diagnosis and examination related records; s6, comparing the consistency of the medication list and the medication list; s7, filling in a drug reforming record table; s8, checking the intervention drug reforming record table; s9, providing help for the patient; s10, sharing the drug reforming record table; and S11, analyzing a drug reforming process. According to the drug reforming method based on the elderly diabetic patient, the medicine taking condition of the patient and the medicine taking medical advice during admission, transfer and discharge are compared and corrected, and unintentional medicine taking deviation is reduced. The working efficiency of doctors, nurses and pharmacists is improved, and the service attitude and the medical level of hospitals can be improved.

The invention provides an insurance pre-claim settlement method and device, electronic equipment and a storage medium, and relates to the technical field of insurance claim settlement. The insurance pre-claim settlement method comprises the following steps: acquiring a medical diagnostic book of a to-be-claimed user, wherein personal information of the to-be-claimed user is recorded in the medical diagnostic book; querying an insurance type and a claim amount of an insurance purchased by the to-be-claimed user according to the personal information; obtaining a medical record of the user to be subjected to claim settlement from a medical database, wherein medical project details and drug list details are recorded in the medical record; and on the basis of the claim terms, the medical project details, the drug list details and the claim amount corresponding to the insurance type, determining the claim amount for the user to be claimed, so that the user to be claimed can deduct the medical expense according to the claim amount when settling the expense. According to the insurance pre-claim settlement method and device, the electronic equipment and the storage medium provided by the invention, the claim settlement amount calculation and the claim settlement payment for the to-be-claimed user can be very conveniently and quickly completed.

The invention discloses a clinical pharmacy monitoring and management system, and the system comprises a medication taboo monitoring module which is used for configuring a corresponding taboo drug list for each patient according to the medication allergy information, various examination results, and historical medication feedback information of the patient; the medicine use auditing module is used for limiting and auditing a medicine use list based on the association relationship among the medicines, the taboo medicine list of the patient and various inspection results, and feeding back an auditing result to the doctor terminal; and the medication monitoring module is used for generating a corresponding medication feedback information table needing to be completed based on the medication information strip loaded in the patient medication list reconfirmed by the doctor terminal, and generating a corresponding medication monitoring task according to the medication feedback information table, so as to realize distribution of the medication monitoring task and tracking of the progress of the monitoring task. According to the invention, untoward effects of the medicine can be reduced while reasonable use of the medicine is realized, occurrence of some drug-induced diseases can be prevented, and the treatment effect of the medicine is improved.

A method of data stratification is provided for management of a patient group according to individual risk factors. The method comprises the step of: a) receiving a patient data, wherein the patient data comprising: i. a unique identifier; ii. a first medication list comprising currently prescribed medications. The method further comprises the steps of: b) producing a drug data by comparing the first medication list with a drug risk classification database; c) determining a new risk value using the drug data and the patient data; d) inserting the patient data into a memory; and e) accessing the memory and ordering the unique identifiers into ordered unique identifiers, wherein the ordered unique identifiers being ordered according to the corresponding new risk values. The invention may in some embodiments generate new risk values according to a supervised machine learning model, which may include a neural network, and implemented using a machine learning module. The present method preferably provides improved management of a patient group wherein a number of potentially interacting risk factors are accommodated.

A method for managing medication, comprising the steps of: providing a server having databases, including a drug-to-drug interaction database, a drug-to-allergy interaction database, and a database of user profiles; detecting a current time of a first user, the first user being associated with a first user's profile within the database of user profiles, wherein the first user's profile comprises a medication list; providing a medication dispenser adapted to store and dispense medication associated with a first medication prescription of the medication list, the first medication prescription having a set of instructions for consumption by the first user; adding the first medication prescription to the first user's profile; implementing a reminder schedule according to the set of instructions and the current time detected; sending consumption reminder notifications to the first user according to the reminder schedule; and tracking adherence by the first user to the set of instructions.

A computer readable medium storing a computer program for providing a medication administration workflow in a user-interface (UI). The computer program executable by at least one processor, the computer program comprising sets of instructions for receiving one or more scanned medications for administration to a selected patient, determining a status of each of the one or more scanned medications, displaying a medication list including at least the one or more scanned medications and the respective status of the scanned medication, selecting one of the one or more medications in the medication list, and addressing any outstanding items associated with the selected medication.

A system and method for generating a medical history that is determined based on the patient's medication list. Medications are taken for specific indications, i.e., disease and / or symptom, and the system includes a knowledge base of all known medications and associated indications. Preferably, an expert system allows the patient, nurse or other user, to enter all or part of the name of the patient's medications, and creates a list of probable medications by determining which of the known medications the patient most likely takes. Based on a user selected probable medication, the system creates a list of probable indications associated with the selected medication. Based on a user selected probable indication, the system generates a medical history for the patient. The probable medications and probable indications are determined preferably based on the patient's demographic data, historical data for other patients, and responses to follow-up questions generated by the system.