9 results about "Drug classification" patented technology

The utility model relates to the technical field of drug transportation, specifically is a pharmacy department drug classification transfer device, the utility model discloses: bottom support, bottom support top center fixed installation has electric telescopic link, the telescopic end fixed connection of electric telescopic link has the top plate, the top of top plate fixed connection has two support frames, and the top of two support frames is provided with sliding mechanism. The utility model drives the telescopic end of drive motor to drive bidirectional screw rod to rotate, and bidirectional screw rod rotation can drive two transfer frames to be far away from each other, thereby removing two transfer frames from the transfer box, in the process of transfer frame movement, through the abutment block of sealing door abutment promotes sealing door and rotates and opens, thereby making two transfer frames exposed, and the user can store the medicine on the transfer frame, or take the medicine from the transfer frame.

The drug classification device (1) is equipped with a determination unit (64) that determines the type of drug based on an image captured by a first camera (131), and a return / classification unit (12) that classifies multiple types of drugs received in a mixed state in a first receiving unit (11) by type and stores them in a second receiving unit (14) based on the determination result by the determination unit.

The application belongs to the field of drug classification management, in particular to a hospital pharmacy drug classification management device, which comprises multiple classification storage cabinets, transport vehicles and magnetic strips, the magnetic strips are attached to the ground, the bottom ends of the transport vehicles and the classification storage cabinets are provided with electric wheels and AGV navigation equipment, the front end of the classification storage cabinet is provided with a storage groove, the inner side of the storage groove is provided with multiple arrangement boxes, the inner side of the arrangement box is fixedly installed with a scissor type driving module one at one end, through the setting, the effects of mechanical medicine taking, medicine storage and classification storage cabinet directional movement are realized, the manual labor is greatly reduced, meanwhile, the pure mechanical operation and the final manual checking also reduce the occurrence of mistakes, the scissor type driving module one comprises two folding frames and an electric pull rod, by pulling the bottom end of the folding frame to make it merge, the folding frame is unfolded and lengthened, thereby completing the ejection work.

This invention discloses an intelligent drug scheduling method and system based on drug classification and joint constraint solving, belonging to the field of pharmaceutical information technology. The method includes: 1. Classifying drugs into four categories according to dosing strictness: blood concentration-dependent, local-acting, on-demand, and circadian rhythm-dependent, with each category corresponding to a different drug scheduling strictness strategy; 2. Extracting the independent constraints and inter-drug constraints for each drug, and performing multi-source verification and confidence labeling on the interval requirements; 3. Jointly solving the drug scheduling time for all drugs using the user's lifestyle as an anchor point; 4. Performing four-dimensional verification of the drug scheduling scheme based on interval rationality, dosing conditions, drug compatibility, and executability; 5. Supporting dynamic adjustments such as missed doses, adding medication, and changing medications. This invention solves the problems of existing medication reminder products that independently schedule each drug, cannot detect interval conflicts, do not consider differences in drug classification strictness, and do not anchor to lifestyle, significantly improving the safety and executability of drug scheduling in multi-drug use scenarios.

This invention discloses a pharmaceutical sales forecasting system and method based on the IPSO-LSTM model. It includes a data acquisition and processing module, a drug classification module, a drug demand forecasting module, and a data visualization module. The data acquisition and processing module collects historical drug data and preprocesses it. The drug classification module provides drug classification services. The drug demand forecasting module uses the IPSO-LSTM algorithm to predict hospital drug demand, predict epidemic spread, and combine regional environmental conditions and past pharmaceutical sales data of various hospitals to make predictions. The predicted data is provided to sales personnel for sales coordination with hospitals. The data visualization module provides a visual interface to display various data. This invention, through IPSO-LSTM model prediction and analysis, can effectively predict hospital demand for drugs during normal times and emergencies, optimize pharmaceutical supply chain logistics decisions, and help improve the quality of pharmaceutical services.

The application relates to the technical field of pharmaceutical management, in particular to a pharmaceutical classification management device and system, which device comprises a management box, the top of the management box is communicated with a medicine adding hopper; a treatment box is fixed to the inner side wall of the management box, the bottom of the treatment box is communicated with a plurality of classification pipes; a classification frame is fixedly connected to the inner side wall of the treatment box, a feeding hole is formed in the bottom of the classification frame, a placing plate is vertically and slidingly matched with the inner side wall of the classification frame, and the placing plate is located below the medicine adding pipe; an adjusting assembly for adjusting the height and angle of the placing plate is arranged below the placing plate; a conveying assembly for separately conveying the medicine at the placing plate is arranged in the classification frame; and a guiding assembly for directionally guiding the medicine according to the medicine type is arranged in the treatment box. Through the design of the treatment box and the classification frame, the independent conveying and targeted guiding of a large quantity of medicines can be realized, the classification storage work can be continuously and automatically carried out, and the work efficiency of the medicine classification management is effectively improved.

The invention relates to the technical field of biological medicine, and discloses a multi-modal data analysis method for drug screening safety evaluation. By setting experiment duration and sampling intervals, multi-modal data such as genes and metabolites are collected from a drug treatment group and a control group at multiple time points, dimension standardization is performed on the two groups of data based on statistical characteristics of the control group, a comprehensive state vector is constructed, state changes of adjacent time points are utilized to form a discrete time differential component and a state evolution function, and a state evolution function is established. The method comprises the following steps: generating two groups of theoretical trajectories through initial state iteration, comparing the theoretical trajectories with actual observation at each time point to evaluate a multi-dimensional error, performing double accumulation in time and state dimensions to obtain a toxicity index of a drug treatment group and a baseline toxicity index of a control group, and calculating a dimensionless safety score for drug grading according to the relationship between the toxicity index and the baseline toxicity index. Therefore, the limitation of dependence on a single index or a single time point is overcome, and the multi-modal data fusion and full-cycle toxicity quantification capabilities are improved.

This invention relates to the field of intelligent drug classification and sorting technology, specifically disclosing a multi-specification drug classification and sorting method and computing device based on AI visual recognition. The method includes: in response to a trigger signal indicating that a drug has entered the sorting area, acquiring the current multimodal technical feature data of the drug; comparing the current multimodal technical feature data with a pre-set drug packaging benchmark feature library to determine whether the drug has undergone packaging changes. This invention introduces a dynamic elastic registration mechanism based on edge anchor points and utilizes a thin-plate spline interpolation model to perform non-rigid mesh deformation on the multimodal data. Without requiring re-physical calibration, the algorithm adaptively eliminates data alignment errors caused by soft packaging deformation during high-speed transmission, ensuring the purity of feature extraction.