15 results about "Pharmacist" patented technology

A device may include a data acquisition layer comprising a patient information collector and a drug information collector, each operable to ingest patient-specific clinical data and drug-specific data, respectively. A device may include an analysis engine comprising a multi-criteria ranking engine configured to compute composite suitability score for candidate medications by weighting one or more of medication efficacy, medication safety, medication resistance, medication cost, or patient-specific coverage factors. A device may include a presentation layer comprising a summary dashboard configured to display a ranked medication recommendation set produced by the analysis engine.

The invention provides a pharmacist clinical ability assessment method and system based on multi-scene self-adaption, and relates to the technical field of pharmacist ability assessment, and the method comprises the steps: configuring a standard diagnosis and treatment process, a mapping rule of an operation event and a diagnosis and treatment step, and a reference weight vector of five ability dimensions for various assessment scenes in advance; performing multi-modal data acquisition on the assessment interaction process of the pharmacist and the virtual patient to obtain a dialogue text sequence; performing semantic coding and context modeling on the dialogue text sequence to obtain a global dialogue abstract vector; obtaining a five-dimensional score vector based on the dialogue text sequence, the diagnosis and treatment step sequence and the pharmaceutical knowledge graph; adopting an adaptive weight network to generate fusion weight vectors of five capability dimensions; and carrying out weighted aggregation on the five-dimensional score vector by using the fusion weight vector to obtain a comprehensive score, and outputting a structured evaluation report. According to the method, the defects of single evaluation scene, shallow scoring dimension and weight logic solidification in the prior art can be overcome.

A drug administration management method according to one embodiment disclosed herein may comprise the steps of: receiving identification information of a first drug from a pharmacist terminal; transmitting permission information corresponding to the identification information of the first drug to the pharmacist terminal; receiving customized medication guidance, in which the permission information is personalized according to patient profile information of a patient, from the pharmacist terminal, and storing the customized medication guidance in a patient information database; receiving identification information of a drug from a patient terminal and searching for the identification information of the drug in an internal database; and generating a customized administration schedule for the patient according to administration schedule information of the first drug included in the customized medication guidance if the searched identification information of the drug is the identification information of the first drug.

The application discloses a model for predicting lactation medication risk, wherein when the model is used to predict the lactation medication risk, human trials are not needed for the to-be-tested drug, the lactation risk can be predicted based on the molecular structure of the to-be-tested drug, and when the lactation medication risk is predicted, the ROC_AUC value of 10-fold cross-validation reaches 0.80, indicating that the model has excellent prediction performance and generalization ability. The model can provide a rapid lactation medication risk evaluation tool for doctors and pharmacists, assist in formulating a safe medication scheme, avoid unnecessary weaning, reduce the adverse reaction risk of breastfed infants, and improve the medication safety level of mothers and infants. Meanwhile, the model can be combined to accurately evaluate the early safety of a new drug, identify and avoid potential lactation medication risks, guide molecular optimization in the new drug research and development process, and reduce the research and development cost and time.

The utility model discloses a pharmacy multifunctional medicine shelf partition relates to pharmacy equipment field, including fixed axle, soft partition and accomodation axle, and fixed axle fixed connection is in soft partition one side, and the other side fixed connection of soft partition is in accomodation axle inside, and soft partition is magnetic material, and whole can be bent, and fixed axle includes axle body main part, first sucking disc, second sucking disc and third sucking disc, and first sucking disc and second sucking disc fixed connection are in axle body main part outside, and third sucking disc fixed connection is in axle body main part bottom end, the utility model provides a pharmacy multifunctional medicine shelf partition, and the soft partition of the device is the writing board with magnetism, can be convenient for pharmacist to write medicine expiration date and other related information on it, and is designed as erasable, and the fixed axle and accomodation axle of the device can utilize built -in sucking disc structure and be adsorbed and fixed in the arbitrary place of medicine shelf, and can be moved at will according to demand simultaneously, and can accomodate and save space at any time when not using.

This invention relates to an automatic visual pop-up verification system for drug retrieval in a hospital information system, belonging to the fields of medical information technology and medication safety control. By constructing a drug appearance image library module, the system binds images of the smallest drug packaging, the front and back of the medicine box, and the individual drug appearance images to the hospital information system's drug dictionary. A retrieval trigger module is set up to automatically retrieve the corresponding drug image in response to the user's drug retrieval operation. A visual pop-up module displays the drug image in real time on the doctor's workstation and the pharmacy dispensing system interface for medical staff to visually verify. Simultaneously, a printing module embeds the drug image into the prescription and medication instructions, achieving closed-loop verification by doctors, pharmacists, and patients based on a unified image benchmark. This invention solves the medication confusion problem caused by textual dependence, similar drug names, and similar packaging in existing technologies, reducing the incidence of medication errors, without requiring any hardware investment or changing the existing workflow.

This application discloses a method, device, and medium for intelligent supervision of medical retail based on federated learning, relating to the field of medical supervision technology. The method includes: collecting multimodal supervision data from medical retail institutions and performing edge computing preprocessing on the multimodal supervision data to obtain cleaned and encrypted standardized supervision data; the multimodal supervision data includes basic drug data, inventory data, prescription data, settlement data, pharmacist qualification data, and drug traceability data; based on a federated learning architecture and according to the standardized supervision data held by each participating party, collaboratively training a medical retail violation identification model; the participating parties include medical retail institutions, market supervision departments, finance departments, and medical security departments; based on the trained medical retail violation identification model, performing violation behavior identification analysis on the real-time data stream of the target medical retail institution, generating violation identification results, and executing intelligent supervision operations based on the violation identification results.

This invention proposes an intelligent medication recommendation method based on configurable weights and dynamic score aggregation, belonging to the field of medical recommendation technology. The method includes: nonlinearly quantifying the clinical outcome indicators of each historical case to obtain an outcome quality score for each historical case; iteratively optimizing the initial weights using the importance scores of each similarity dimension configured by the pharmacist as initial weights to obtain optimized weight vectors for each similarity dimension; dynamically determining the fuzzy matching threshold for each dimension, and compiling the query conditions for each dimension into weighted search statements in conjunction with the optimized weight vectors to obtain several similar historical cases and their similarity scores; using the similarity scores as weights, weighted aggregation of the medication records of the retrieved historical cases, and outputting medication plans with support levels not lower than a preset threshold as the medication recommendation results for the current patient. This invention can achieve more valuable medication plan recommendations for the current patient, improving the clinical decision support capabilities in pharmacy consultations.

The application discloses a kind of based on center pharmacy paperless medicine dispensing delivery whole process closed loop system, it is related to pharmacy management and medical logistics technical field.System fusion HIS medical order, RFID check, AI visual identification, logistics track, sign record and inventory data, build the management closed loop covering medical order reception, pharmacist dispensing, logistics delivery, ward check and intelligent storage.System includes: the intelligent paperless dispensing car of integration RFID and AI visual check;Binding unified command single and transfer box, record the whole process of medicine delivery to ward delivery management system;Mobile terminal for nurse to scan code and sign and mistake medicine registration;The intelligent medicine cabinet of center pharmacy is used to store valuable medicines, built-in precision weighing module real-time display inventory, with dispensing record, medicine application linkage, abnormal change automatic alarm.The application realizes the whole process paperless and closed loop traceability of medicine dispensing delivery storage, improves medicine circulation efficiency and drug safety.

The application discloses a traditional Chinese medicine decocting tracing method, device, equipment and medium, relates to the technical field of traditional Chinese medicine decocting, and is applied to a decocting center, and comprises the following steps: after the pharmacist identity verification is successful, receiving an encrypted prescription of a hospital and on-chain storage hash, performing signature confirmation and key information on-chain storage, and generating a decocting work order; after the prescription is decrypted, the work order is distributed to decocting equipment and personnel, internet of things equipment is connected to collect decocting parameters, and the work order state is updated after zero-knowledge proof compliance verification; a distribution task is generated according to the work order, and a logistics system is connected, the distribution state is stored on a chain, and notification information is pushed to a patient; in response to a tracing request, on-chain storage data is aggregated, private protection type verification or original data verification after authorization is provided according to a preset permission, and a credible tracing report is generated. In this way, the responsibility tracing problem is solved, the decocting process parameter automation credible storage is achieved, the cross-institution data link is connected, the credible tracing closed loop is formed, and the data available and invisible credible tracing is realized.

The utility model relates to a kind of medicine packing machine alarm devices, the medicine packing machine alarm device is set multiple tablet item areas by being set on the outer surface of pull assembly, and multiple light alarm components are one-to-one corresponding set in each tablet item area, and control box is electrically connected respectively each torque component, each light alarm component and each medicine falling detection sensor.When tablet case is not detected by medicine falling detection sensor Tablet falls (that is, tablet is missing or medicine falling failure), control box receives information and controls the light signal of corresponding light alarm component, and the pharmacist can quickly locate the tablet case position of tablet missing according to the light, even in the case of numerous tablet cases, it can also be handled in time, solve the problem that existing medicine packing machine cannot timely locate the tablet missing box position, effectively improve work efficiency.

The present application provides a kind of based on multi-scene self-adapting pharmacist clinical ability evaluation method and system, it is related to pharmacist ability evaluation technical field, including: pre-configuration standard diagnosis and treatment process, the mapping rule of operation event and diagnosis and treatment step for multiple evaluation scenes respectively, and the benchmark weight vector of five ability dimensions;Multi-modal data acquisition is carried out to the evaluation interaction process of pharmacist and virtual patient, and the dialogue text sequence is obtained;The dialogue text sequence is carried out semantic coding and context modeling, and the global dialogue abstract vector is obtained;Based on dialogue text sequence, diagnosis and treatment step sequence and pharmaceutical knowledge graph, five-dimensional score vector is obtained;Adaptive weight network is used to generate the fusion weight vector of five ability dimensions;Five-dimensional score vector is weighted aggregated with fusion weight vector, and comprehensive score is obtained, and structured evaluation report is output.The present application can overcome the deficiencies of single evaluation scene, shallow scoring dimension and weight logic solidification in the prior art.

The utility model discloses a medicine classification storage device, which relates to the technical field of medicine storage and comprises a medicine storage cabinet and a carrier plate, a plurality of slots distributed in a grid shape are arranged on the medicine storage cabinet, medicine storage boxes are inserted in the slots in a sliding manner, first iron blocks are fixed on the front sides of the medicine storage boxes, and a refrigeration component is mounted at the bottom of the medicine storage cabinet. The refrigeration assembly is used for storing medicine needing low-temperature preservation, a sliding rail is installed on the refrigeration assembly, baffles are fixed to the two ends of the sliding rail, and the rear side of the carrying plate is rotationally connected with two rotating rods through bearings. By moving the position of an electric push rod and controlling the electric push rod to stretch out and draw back, the electric push rod drives a supporting plate and a traction assembly to move to a medicine storage box corresponding to medicine, an electromagnet is powered on, the electromagnet can attract a first iron block on the medicine storage box after generating magnetic force, and the medicine storage box can be pulled out of an inserting groove by means of the traction assembly; the electric push rod can drive the medicine storage box storing the medicine to move downwards, and a pharmacist can take and place the medicine conveniently.

This invention discloses an intelligent paperless dispensing cart integrating RFID and image recognition technologies, belonging to the field of medical equipment technology. The dispensing cart includes a cart body, a verification table, a touch-screen all-in-one machine, a camera, and a power bank; the power bank powers the touch-screen all-in-one machine, and the camera is positioned above the verification table. This invention synchronizes medical orders and compiles drug lists from the HIS system via the touch-screen all-in-one machine; when pharmacists wear wristwatch-style RFID readers to retrieve medications, they read the RFID tags on the medicine cabinets to verify the types of medications; after placing the medications on the verification table, the camera captures images and uses AI vision technology to count the quantities. The dispensing data is processed by the back-end central control system, realizing the synchronization of medical orders, list compilation, verification, and statistics. This invention integrates RFID identification and AI image annotation technologies to achieve paperless verification of drug dispensing, improving work efficiency and dispensing accuracy.

To provide online medication guidance for prescription-only drugs and other medications. [Solution] The pharmaceutical sales device includes: a reception unit that receives requests from users for pharmacists to provide online medication guidance; an acquisition unit that, upon receiving the request, refers to a storage unit and obtains management information associated with the user; a display control unit that, upon obtaining the management information, displays the management information on the pharmacist's terminal during online guidance to the user; an issuing unit that, if the pharmacist authorizes the sale of pharmaceuticals to the user during the online guidance, issues a sales authorization code to the user; a sales control unit that controls the sale of pharmaceuticals to the user based on the issued sales authorization code; and an update unit that updates the management information about the user in the storage unit when the sale of pharmaceuticals is completed.