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.

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 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.

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.

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 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.

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.