14 results about "Medication timing" patented technology

The invention discloses a method for adjusting administration dosage according to adverse reaction risk based on a joint model, and is applied to the field of intelligent medical treatment. In the prior art, the relationship between the sirolimus steady-state valley concentration and the specific adverse reaction cannot be quantified, so that the defect of lack of accurate guidance for clinical medication is caused. Through systematic research, the method determines the individual target valley concentration range through a BKMR model for the first time, obtains individual pharmacokinetic parameters of a patient through a group pharmacokinetic model, and finally determines the medication time and the medication dosage of the patient through Bayesian negative feedback simulation, and the medication time and the medication dosage are used for adjusting a medication scheme. According to the invention, prospective risk prediction of adverse reactions of sirolimus is realized, the treatment safety of children with vascular diseases is remarkably improved, and long-term prognosis of patients is improved.

The invention relates to the technical field of medical information, in particular to a medication safety management method, device and equipment and a readable medium. The method comprises the following steps: acquiring electronic prescription data containing medicine names, specifications, dosage, usage, medication time and basic information of patients; performing multi-dimensional risk analysis on the electronic prescription data based on the medication safety knowledge base, including incompatibility analysis, dose safety analysis, medication time conflict analysis and special usage suitability analysis, and generating medication risk prompt information and a personalized medication guidance scheme; the medication guidance scheme comprises a text abstract and instruction data used for generating a two-dimensional code; driving label printing equipment to print the intelligent medication two-dimensional code; a detailed text, a voice interpretation file or a medicine use demonstration video file in the medicine use guidance scheme is associated with the two-dimensional code and stored in a server; a user can access the multimedia guidance file by scanning the two-dimensional code through terminal equipment, so that the medication compliance and safety of a patient are improved.

The invention relates to the field of medical information processing, in particular to a medicine accurate query system based on artificial intelligence, and the system comprises a document analysis module which is used for analyzing the past and current diagnosis and treatment medical advice and diagnosis and treatment data of a patient to obtain a structured document analysis result; the query module is used for performing rule matching and reasoning calculation based on the analysis result to generate medication consistency test data; the scheme generation module is used for converting the inspection data into an executable drug administration plan; and the scheme correction module is used for adjusting the drug administration plan in real time based on the execution feedback data. Through medical advice clause logic analysis and medication time axis construction, time logic and conditional logic extraction is realized, and the reasonability of medical advices is ensured through conflict detection; furthermore, rule mapping is carried out in combination with changes of diagnosis and treatment monitoring indexes, a recommended medication plan is generated, dynamic correction is carried out under execution feedback, and accurate query based on reasoning can be realized under complex medical record information.

The invention relates to the technical field of medical information, and discloses a clinical medication data management system based on DRGs. The system comprises a data acquisition module, a mode construction module, a deviation identification module, a cause association module and a strategy generation module. According to the system, medicine use details and medicine use time track data under each DRG group are extracted and integrated, and a typical medicine use mode map is constructed to serve as a behavior reference. In real-time monitoring, the system performs multi-dimensional comparison on new case data and an atlas, and identifies drug use sequence, dosage and cost abnormity. The system performs intelligent attribution on the deviation based on a clinical medication knowledge graph, traverses drug interaction, treatment specifications and cost influence paths, forms a structured cause association network, and generates medication adjustment suggestions according to matching. According to the scheme, closed-loop management from clinical medication behavior modeling to deviation depth analysis and intervention strategy generation is realized, and medication monitoring fineness and decision support effectiveness are improved.

The application relates to a zero-character full-symbol medication guidance system based on a fool-proof design, and belongs to the technical field of medical safety. The system comprises seven pure graphical symbol modules of medication frequency, medication time, medication dose, medication route, contraindication warning, adverse reaction treatment and missed medication treatment. The modules are visually distinguished by unified color, shape and line type, and are combined into a complete information chain in a fixed order of frequency, time, dose, route, contraindication, adverse reaction and missed medication, and are printed or displayed on a medicine box, a medication guidance sheet or a prescription carrier. The application migrates the picture priority and fool-proof and error-proof operation national standard system in the construction industry to a medical medication scene, fundamentally eliminates medication misreading risks caused by ambiguous characters, character ambiguity and cultural level differences, realizes the instinctive recognition and accurate execution of the whole population such as illiterates, the elderly with low vision and cognitive impairment, and has the remarkable technical effects of zero learning cost, full-process coverage and low cost and easy popularization.

An object of a system according to an embodiment is to integrally manage data of medication, meals, and exercise of a user and to individually provide appropriate guidance.SOLUTION: A system according to an embodiment includes a medication-taking management unit, a dietary guidance unit, and an exercise guidance unit. The medication management unit manages a medication schedule of the user and provides a reminder for prompting medication at an appropriate timing. The dietary guidance component analyzes the user's dietary data and suggests a nutritionally balanced dietary plan. The exercise instructor analyzes the user's exercise data and suggests an effective exercise plan.SELECTED DRAWING: Figure 1

The invention discloses a medical insurance cross-hospital prescription compliance detection method and system based on a date counting slot. The method comprises the following steps: acquiring prescription information of a current prescription; obtaining a cross-hospital historical drug preparation record, corresponding to the general drug name, of the insured in a preset time window; determining a corresponding medication time interval according to the historical medication date and the historical medication day number for each historical medication record, and performing counting operation on a preset date counting slot based on the medicine return identifier; traversing a date counting slot, and determining a first effective medicine opening date corresponding to the general name of the medicine by accumulating a counting value; and judging whether the current prescription forms illegal advanced medicine preparation or not based on the first effective medicine preparation date, the current medicine preparation date and a preset threshold value of the number of days for allowing advanced medicine preparation. Unified marking and accumulation calculation are carried out on the intervals through the date counting slot, linear counting and accumulation based on a fixed time window are achieved, the time complexity of an algorithm is reduced, and efficient real-time judgment of illegal advanced medicine preparation is achieved.

The application relates to the field of digital medical technology, and provides a drug efficacy prediction method based on artificial intelligence and related equipment.The method comprises the following steps: performing feature extraction on an original data set to obtain a first target feature set; performing analysis on a second target feature set and a third target feature set of each time node respectively to obtain an analysis result of a first signal path of the corresponding time node; and inputting the analysis result of the first signal path of each time node, the second target feature set, the third target feature set and a corresponding drug efficacy result into a pre-trained time sequence prediction model to obtain a drug efficacy prediction result of each time node.The drug efficacy at a subsequent medication time node is predicted in advance, so that doctors can more reasonably formulate a medical scheme for patients, and the working efficiency of the doctors is improved.

The invention discloses a block chain and big data-based medical health management old-age care system, which comprises a medical health management old-age care system, and is characterized in that the medical health management old-age care system comprises a big data information acquisition module, a health management module, an old-age care monitoring module, a medication reminding module and a night guarding module; the medication reminding module comprises a medication classification module, a medication timing module, a medication informing module and a medication record storage module, and the medication classification module is used for classifying and recording corresponding medicines of different old people and classifying the medicines according to different diseases corresponding to different old people, so that the medicines of different old people can be classified conveniently; different old people can conveniently take the application objects. By means of the arrangement mode that the medicine use classification module, the medicine use timing module, the medicine use informing module and the medicine use record storage module are matched, medicine use of the old can be timed and informed, and the old can be prevented from forgetting to take medicine and preventing the time error of medicine use.

The invention relates to the field of intelligent medical treatment, in particular to a cloud side-end collaborative diabetes intelligent medicine box management system and a compliance optimization method, and the system comprises a terminal sensing layer, an edge cognitive layer and a cloud intelligent layer. The terminal sensing layer acquires data through an environment self-adaptive multi-dimensional sensor module and has a temperature and humidity compensation function; the edge cognitive layer generates a medication time window adjustment instruction and a medication reminding strategy based on a multi-dimensional health state model, and is provided with an offline emergency system; the cloud intelligent layer is responsible for data encryption storage and analysis processing; the multi-mode man-machine interaction module sends prompts through visual sense, auditory sense and tactile sense according to the medication prompting strategy; according to the method, high-precision identification and dosage monitoring of the medicine are realized, the problem of false compliance is solved, and the medication effect is improved by dynamically optimizing the medication time window.

The application discloses a Mongolian medicine prescription recommendation method based on multi-graph convolution fusion, and relates to the technical field of medicine, in particular to a Mongolian medicine prescription recommendation method based on multi-graph convolution fusion. The method comprises the following steps: constructing a Mongolian medicine prescription recommendation model based on multi-graph convolution fusion Transformer, designing feature coding to introduce drug properties and medication time, combining syndrome information, constructing multiple relationship graphs, using graph convolution to capture features, fusing comprehensive representations of drugs and symptoms, and then performing drug recommendation. The method is characterized in that the unique drug 'taste, nature and effect' characteristics, 'nature and taste formula' prescription principles and'medication at different times' medication methods of Mongolian medicine are analyzed, coding and processing are performed accordingly, a special loss function is designed for the prescription process to simulate the Mongolian prescription process, the drug recommendation problem is converted into a drug recommendation and combination problem, and special regularization is designed to simulate the prescription process based on in-depth research on the Mongolian prescription principles, so that the whole scheme is changed from simple drug recommendation to drug recommendation and drug combination, and the method is more in line with the Mongolian theoretical system and clinical practice.

A device may include a barrel in fluid communication with a needle. A device may include a piston comprising a plunger. A device may include a microprocessor. A device may include a wireless communication module, wherein the microprocessor is configured to. A device may include communicate between the intelligent injection devices to coordinate medication timing. A device may include verify no conflicting medications are planned for administration. A device may include transmit administration data to at least one external entity. A device may include prevent concurrent administration of incompatible medications. A device may include a digital twin system configured to: model medication interactions, simulate administration workflows, predict potential medication conflicts; and enable coordinated medication delivery across the intelligent injection devices.

A medication container contains a medication time schedule and a schedule indicator. When the container is opened and completely closed, the schedule indicator can automatically point to the next medication time.

The utility model relates to the related technical field of medicine boxes, in particular to a medicine box with a reminding function for old people, which comprises an upper box body and a lower box body which are hinged with each other, one side of the lower box body is hinged with the upper box body, the upper box body is provided with a reminding mechanism, and the reminding mechanism is arranged on the lower box body. The reminding mechanism comprises a timing player used for reminding a user to take medicine, the timing player is used for reminding the user to take medicine, the medicine storage mechanism comprises a binding ring and a plurality of turning pages, and each turning page is provided with a medicine storage assembly and a reminding assembly. According to the medicine box with the reminding function for the old people, the timing player can remind the old people of medicine taking time, medicine use records are recorded in the voice player and can be played, meanwhile, a medicine appearance label and a medicine use label are additionally arranged, and the two modes are combined to provide medicine for the old people more accurately; and meanwhile, the first turning page and the second turning page can form a group of loose leaves, and the loose leaf structure is adopted, so that a group of loose leaves is added.