273 results about "Elderly patient" patented technology

The invention discloses a drug use dynamic risk assessment method and system for an elderly patient, and relates to the technical field of drug use risk assessment, and the method comprises the steps: collecting static factor data and dynamic factor data of the elderly patient, carrying out the preprocessing of the collected static factor data and dynamic factor data, and generating a feature vector for risk assessment; calculating a comprehensive risk score through a preset evaluation rule based on the feature vector; the comprehensive risk score is compared with a preset risk grading threshold value, the medication compliance risk grade of the elderly patient is determined, and the system comprises a data collection module, a preprocessing module, a risk assessment module and a grading module. The comprehensiveness and timeliness of medication compliance risk assessment of elderly patients are improved, and technical support is provided for medication intervention.

The invention discloses an outpatient queuing and calling scheduling system based on an AI dynamic decision engine. The outpatient queuing and calling scheduling system comprises a multi-source data acquisition and preprocessing module, a DeepSeek intelligent prediction and scheduling engine, a dynamic priority ranking and calling module and a cross-department resource collaboration module. According to the method, the whole outpatient service process is reconstructed through AI, a closed loop of data driving, intelligent prediction, dynamic scheduling and cross-section collaboration is achieved, a traditional static queue is converted into a dynamic system capable of sensing disease severity, special crowd requirements and resource loads, the medical resource allocation efficiency is improved, the average waiting time of patients is shortened, and the medical resource allocation efficiency is improved. The rescue response speed of critical patients is improved by multiple times, meanwhile, the diagnosis period of difficult cases is shortened through automatic triggering of multidisciplinary consultation (MDT), pregnant women / disabled persons / elderly patients are automatically recognized in cooperation with the multi-modal recognition technology, dynamic priority values are given, and the priority service missed recognition rate is obviously improved.

The invention relates to an elderly patient falling early warning method and system, and the method comprises the steps: collecting a motion signal, a physiological signal and an environment signal of a target patient, carrying out the preprocessing of the collected signal data, and generating a standardized multi-modal time series data flow and a data quality identifier; according to the standardized multi-modal time sequence data stream and the data quality identifier, constructing and storing an individualized baseline description of the target patient; outputting an abnormal tag and a corresponding evidence snapshot based on the individualized baseline description; according to the abnormal label, the evidence snapshot and the recent time sequence data of the target patient, generating a trigger factor description; according to the long-term behavior file and the short-term falling risk level, fusing to form a layered comprehensive risk file, and outputting a risk level, a priority and a suggested action list based on the comprehensive risk file; and implementing falling early warning and real-time closed-loop intervention on the target patient according to the priority and the suggested action list. According to the invention, the accuracy of early warning of falling of the elderly patient can be improved.

The invention relates to the field of clinical diagnostics, and discloses an elderly NSC emergency risk layering method and device and a medium, and the method comprises the steps: S1, obtaining multi-dimensional evaluation data of an elderly NSC patient; s2, adopting a preset risk mapping rule to convert the risk values into single risk values of a unified scale; s3, dividing the single risk value into a plurality of risk sub-models, and calculating a dimension risk score of each risk sub-model; s4, based on a preset fusion strategy, integrating the risk sub-model and the single risk value interaction effect, and calculating to obtain a total risk score of the patient; and S5, determining the risk level of the patient according to the total risk score, and outputting a clinical diagnosis and treatment suggestion. According to the method, multiple biomarkers and key clinical parameters are integrated, a multi-dimensional combined risk assessment model is constructed, and the potential pathological state of a patient can be reflected more comprehensively.

The invention relates to an intelligent decision-making system for nutrition metabolism collaborative management of elderly chronic disease patients, in particular to the field of nutrition metabolism collaborative management of elderly chronic disease, which is characterized in that drug molecule characteristics and nutrient metabolism paths are dynamically integrated through a multi-modal knowledge graph, and a cross-domain associated three-dimensional knowledge network is constructed; based on a reinforcement learning real-time optimization rule confidence threshold value, the early warning sensitivity is adaptively adjusted according to the degree that the metabolic index of the patient deviates from the safety interval; the streaming conflict detection engine accurately identifies the potential risk of asynchronously input medication and diet data, and triggers graded early warning through space-time alignment and sub-graph matching; the closed-loop evolution mechanism fuses patient compliance feedback and blood potassium change trend, drives the taboo rule base to continuously and autonomously evolve under the constraint of renal function layering, and realizes personalized risk prevention and control and metabolic state collaborative optimization.

The invention relates to the technical field of data processing, and discloses an old-age multi-organ function decline rehabilitation prediction method and system based on artificial intelligence. The method comprises the following steps: screening cardiovascular, respiratory, renal function and liver function indexes of an elderly patient through a multi-source data quality evaluation matrix, carrying out time sequence synchronization according to visceral organ physiology time delay characteristics, adopting a visceral organ function correlation positioning analysis algorithm to identify a collaborative decline mode and calculating 1-NN similarity and Max-NN correlation decline degree, and finally, inputting target patient data into a special prediction model of a corresponding hierarchical group to generate a rehabilitation prediction result. According to the method and the device, the technical problem that an existing senile multi-organ function decline prediction method lacks parameter-free collaborative decline mode recognition and individualized layered prediction is solved.

The invention provides a motion rehabilitation method, device and equipment for movement fear of a cardiovascular disease combined weak patient. The method comprises the following steps: S101, establishing different potential category influence factor models of movement fear of the cardiovascular disease combined weak patient on the basis of a potential category analysis method; s102, based on a knowledge graph technology, aggregating related evidence-based evidences of health education and exercise rehabilitation of the movement fear of the senile cardiovascular disease and weak patient, and constructing to obtain a knowledge graph-based exercise rehabilitation knowledge base of the movement fear of the senile cardiovascular disease and weak patient; s103, in combination with the potential category influence factor model and the multi-modal data of the patient, constructing a multi-modal data-based digital twinborn body of the senile cardiovascular disease combined with the dynamic terrorism of the weak patient; and S104, according to the dynamically updated digital twinborn model, performing matching from the exercise rehabilitation knowledge base according to the health target, the body condition, the real-time environment and the preference characteristics of the patient to obtain personalized health education and exercise prescription recommendation.

The invention relates to an old inpatient intestinal preparation failure risk prediction method and system, and the method comprises the steps: collecting the multi-dimensional electronic medical data of a patient from a hospital information system (HIS), a laboratory information system (LIS) and a pharmacy information system (PIS), carrying out the cleaning, missing value filling and standardization preprocessing of the original data, so as to construct a high-quality data set, and carrying out the prediction of the intestinal preparation failure risk of the old inpatient. Generating three core risk characteristics based on clinical knowledge: an age-weighted complication index, a specific drug use mark and a key physiological index anomaly mark; inputting the features into a preset rule engine, performing weighted calculation according to a fixed weight coefficient to obtain a comprehensive risk score, finally dividing patients into low, medium and high risk levels according to a risk threshold value determined by historical data, and outputting a result and storing the result into a database for clinical retrieval and early warning. The method can effectively evaluate the intestinal preparation failure risk of the elderly patient, and provides an objective basis for clinical intervention.

The invention discloses a senile sarcopenia risk prediction and grouping multi-motion intervention system and method, and the system comprises a data layer which is used for data collection, storage and task standardization; the service layer is used for processing and analyzing the data acquired by the data layer, performing sarcopenia risk assessment on the elderly patients, and appointing an exercise training scheme according to a risk assessment result and a data analysis result; the application layer comprises personal information management, patient information management, medical care information management and system maintenance management; and the user side is used for personal information management and exercise demand assessment, and preliminarily assessing the exercise demand according to own feelings. Data are collected through a physical condition scale and a tumble risk prediction tool, the model construction module is used for analysis, the sarcopenia risk of the elderly patient can be accurately evaluated, high-risk people can be recognized in the early stage of the disease, a basis is provided for follow-up intervention, an exercise scheme is adjusted according to a data analysis result, the management efficiency is improved, and the management cost is reduced. And high-quality services can be provided for more old people.

The invention belongs to the technical field of medical health management, and particularly relates to an AI personalized health education system for elderly patients with head and neck cancer, which comprises a content generation and management module, a personalized push engine, an interaction and artificial triage module, an elderly friendly interaction module and a data monitoring and safety module, by adopting an AI + manual hierarchical response mechanism and combining elderly friendly interactive design and operation training support, the participation obstacles that elderly patients are inconvenient to move and poor in informatization ability are broken through, and the intervention compliance and sustainability are improved; according to the intervention method, strict double-group random control test design is adopted, multi-dimensional and multi-time-point effect evaluation is combined with a scientific statistical analysis method, the improvement effect of AI-assisted health education on cancer recurrence, fear, psychological state and life quality of a patient can be accurately verified, and a solid evidence-based basis is provided for clinical popularization.

According to the county-level medical care dispatching system and method suitable for the elderly patients, an intelligent terminal supports multiple interaction modes, and real-time health data and request data of the elderly patients are transmitted to an Ai dispatching center module in an encrypted mode through a 5G / Internet of Things protocol; dynamically adjusting an execution strategy, generating a corresponding service scheme, and transmitting the service scheme to an execution module for medical care distribution; the county medical cloud platform optimization decision model realizes update of medical rules, promotes evolution of the Ai scheduling center module, re-deploys Ai triage priority weights, maintains terminal security and sets personalized parameters, and remotely manages intelligent terminals; and the execution module records the whole medical service process and feeds back the whole medical service process to the county medical cloud platform through block chain evidence storage to complete a closed loop. According to the scheme, resources of hospitals, communities and third-party institutions are integrated, a complete closed loop is formed from data acquisition to service evaluation in the aging-suitable design, the system performs automatic iteration according to the execution effect, and the service quality is continuously improved.

The present invention relates to the technical field of aerosol drug delivery, and discloses a cavity aerosol drug delivery device for elderly care, comprising a main body, a detachable aerosol canister disposed inside the main body, a spray valve for inhaling drugs from the aerosol canister disposed on the upper side of the main body, a main cover fixedly disposed on the left side of the spray valve, and a fixed cover fixedly mounted on the left side of the main cover. The cavity aerosol drug delivery device for elderly care, by respectively placing two support parts against the upper and lower gums of the patient's mouth, and using a support rod to drive the support parts to move relative to each other, can achieve the purpose of opening the elderly patient's mouth, which is beneficial for nursing staff to administer drug treatment to the elderly patient, solves the problem that the elderly patient's mouth is difficult to open on its own, resulting in low drug delivery efficiency, further improves the treatment effect on the elderly patient, and is beneficial for the elderly patient to recover as soon as possible.

The invention provides an atomization breathing drug delivery device suitable for aging, and relates to the technical field of atomization breathing devices.The atomization breathing drug delivery device comprises a breathing mask, an atomization mechanism facilitating atomization is arranged on the breathing mask, and an adjusting mechanism capable of adjusting the atomization mechanism is arranged on the breathing mask; the atomizing mechanism comprises a liquid medicine cup, a conical pipe, a ball and an air inlet pipe, the adjusting mechanism comprises a side rod and a push rod, the side rod is fixedly installed at the side end of the breathing mask, the push rod is located at the lower end of the side rod, and an ejector rod is fixedly installed at the upper end of the push rod. According to the device, the adjustable liquid medicine cup and the multi-angle adjustable liquid medicine cup are arranged, so that the device can actively adapt to any body position such as supine position and side position of an elderly patient during atomization work, the direction of the liquid medicine cup is dynamically adjusted to be kept perpendicular to the ground all the time, it is ensured that the liquid medicine always immerses an atomization element, and the atomization effect is improved. The problem that a traditional atomizer fails to atomize due to the change of treatment posture requirements of the elderly patient is solved.

Methods for constructing an ADR prediction model for elderly patients, a prediction system, and / or a storage medium are disclosed. The method includes constructing ADR trigger entries for elderly patients; based on the ADR trigger entries for elderly patients, combining evidence-based evaluation results to construct a dataset of risk factors related to ADRs in elderly patients; completing the annotation of risk factors and ADR discrimination for the dataset related to ADRs in elderly patients; using the annotated dataset information to train a machine learning model, so as to obtain an ADR risk prediction model for elderly patients. A prediction system utilizing the ADR prediction model for elderly patients is constructed.

The invention relates to the technical field of data processing, and provides an intelligent community health management system for senile chronic disease patients based on a radar map, and the system comprises the steps: regularly obtaining the monitoring data of a plurality of health indexes of the senile chronic disease patients; obtaining standardized data of each health index of the patient; determining the illness state reflecting degree of each health index of the patient; generating a radar map of each time of monitoring of the patient; determining the intervention degree of each monitoring of the patient according to the difference of the adjacent monitoring radar maps of the same patient and the change trend of the continuous monitoring radar maps; the medication adjustment degree of the patient is obtained, and then the illness state change degree of the patient is obtained; based on the disease change degree and the medication adjustment degree of the patient, obtaining health management suggestions for the patient; and the hospital timely shares the health management suggestions to the community after obtaining the health management suggestions of the patient. The objective of the invention is to solve the problem that health state monitoring management is affected by difference of radar map expressions caused by different illness states of patients.

The invention discloses a method and system for predicting the occurrence rate of allogeneic blood transfusion in the joint replacement perioperative period of an elderly patient, and belongs to the technical field of medical data processing, and the method comprises the steps: selecting potential factors from the historical clinical information of the patient; related factors are obtained by analyzing the influence degree of the potential factors on blood transfusion indications in the perioperative period of joint replacement; performing control variable analysis on the potential factors to screen out independent risk factors; in combination with related factors and independent risk factors, allogeneic blood transfusion evaluation indexes are obtained; and calculating an allogenic blood transfusion incidence prediction value of the target patient according to the allogenic blood transfusion evaluation index through a preset allogenic blood transfusion incidence prediction model. Therefore, by implementing the method and the device, the problem that in the prior art, other factors possibly causing the allogenic transfusion risk of the elderly patient are not considered, so that the calculated allogenic transfusion occurrence rate is inaccurate or the prediction time is too late, and reasonable blood use planning for the perioperative period of the patient cannot be realized can be solved.

The invention discloses an intelligent medicine box accurate medicine discharging control system and method based on multi-mode perception, and belongs to the technical field of intelligent medical equipment. According to the system, tablet data are collected in real time through a multi-mode sensing module (comprising a high-precision weight sensor, machine vision and an infrared counter), and high-precision tablet dispensing is achieved through a three-stage tablet dispensing mechanism. The control method is fused with an adaptive Kalman filtering algorithm for data correction, has the functions of blockage detection and emergency recovery, and can dynamically adjust operation parameters. Experimental verification shows that the total accuracy rate of 1000 times of medicine discharging tests on five kinds of tablets by the system reaches 99.2% (the accuracy rate of special-shaped tablets is 98.7%), and the blockage occurrence rate is 1t; the emergency recovery success rate is 100%, and the standby power consumption is 1t; the method is suitable for complex medication scenes of old patients, and has the advantages of high precision, self-adaption, high reliability and the like.

The invention discloses a machine vision-based dysphagia risk identification method and system for an elderly patient, and belongs to the technical field of dysphagia, and the method comprises the following steps: S1, collecting real-time image data of the swallowing of the elderly patient; s2, processing the swallowing real-time image data of the elderly patient, and determining swallowing feature data of the elderly patient; s3, determining an optimal elderly patient dysphagia risk identification model; s4, analyzing and identifying the swallowing characteristic data of the elderly patient, and judging whether the elderly patient has the risk of dysphagia or not; s5, early warning feedback intervention measures are taken in time, and life safety and life quality of the elderly patients are guaranteed. The problem that effective risk identification and timely protection intervention cannot be carried out on dysphagia of old patients in the prior art is solved. According to the invention, effective risk identification and timely protection intervention can be carried out on dysphagia of the elderly patient, and life safety and life quality of the elderly patient can be effectively guaranteed.

The invention belongs to the technical field of lung tissue lesion positioning, and particularly relates to a lung tissue lesion position positioning system and method based on three-dimensional reconstruction. According to the method, overall and local two-stage registration is combined, whole-lung expansion errors are corrected, local deformation is compensated, the lesion position and image alignment is achieved, the three-dimensional lesion position is displayed through the augmented reality technology, doctors are helped to visually master spatial distribution of the focus in the body of a patient, the safety and the success rate of operation or needle biopsy are improved, and the operation efficiency is improved. Based on a breathing model and an elastic registration method, the method can adapt to lung compliance differences and breathing movement conditions of different patients, is particularly suitable for severe or old patients difficult to keep stable breathing, reduces the risk of blind penetration or excessive resection through accurate positioning, and reduces tissue damage and the occurrence rate of postoperative complications.

The invention relates to the technical field of health management systems, in particular to a management method, device and equipment for an anti-inflammatory diet list of an elderly patient, and the method comprises the steps: obtaining delicious food data and data related to the nutrition and health of the elderly; based on the delicious food data and the data related to the nutrition and health of the elderly, constructing a diet knowledge graph of the elderly patients; acquiring feature data and demand data of the target elderly patient; based on the feature data, constructing a target diet portrait of the target elderly patient; based on the target diet portrait, extracting a target diet meeting the demand data from a diet knowledge graph of the elderly patient; based on the target diet, the personalized anti-inflammatory dietary nutrition set meal is recommended to the target elderly patient, and then the personalized anti-inflammatory dietary nutrition set meal suitable for the target elderly patient can be finally formed by considering multiple demands of the target elderly patient so as to be pushed to the target elderly patient.

The invention provides a risk prediction model for the death rate of senile sepsis patients in 28 days after the senile sepsis patients are transferred into ICU and a construction method of the risk prediction model, independent risk factors related to death occurrence in 28 days are determined through single-factor and multi-factor logistic regression analysis, a column chart is made, the prediction model of the patent is constructed, and the risk prediction model of the senile sepsis patients in 28 days can be used for predicting the death rate of the senile sepsis patients. A comparison result with a standard APACHE II score and a decline index (FI-lab) in recent years or an AUC of an ROC curve of other multi-index models shows that the prediction model provided by the invention is better in efficiency.

The present invention relates to the field of respiratory rehabilitation assistance technology, and particularly relates to a respiratory device for elderly rehabilitation assistance treatment, which includes an oxygen supply component, an atomization component, and a respiratory measurement component. It also includes a mounting block, and a respiratory exercise mechanism for patients to perform respiratory exercises is provided at the center of the mounting block; the respiratory exercise mechanism includes a first rotating block slidably engaged with the mounting block, second rotating blocks are provided on both sides of the first rotating block, atomization holes are provided between the first rotating block and the second rotating blocks, and oxygen supply holes are provided on the second rotating blocks; a driving member is provided at the center of the mounting block, and the output shaft of the driving member is coaxially connected to the first rotating block; a bite piece is fixedly connected to the first rotating block, the bite piece is communicated with a detection tube, and a strength measurement mechanism for detecting changes in the patient's respiratory intensity is provided in the detection tube; it also includes a control panel for controlling the operation of the oxygen supply component based on changes in the respiratory frequency; to meet the respiratory rehabilitation exercise needs of different elderly patients and ensure the safety of respiratory exercises.

The invention discloses a traditional Chinese medicine composition, a traditional Chinese medicine extract, a pharmaceutical preparation and application for treating hypoovarian reserve function. The traditional Chinese medicine composition is prepared from the following components in parts by weight: 12 to 18 parts of radix astragali seu hedysari, 9 to 15 parts of radix angelicae sinensis, 9 to 15 parts of fructus ligustri lucidi, 9 to 15 parts of fructus mori, 9 to 15 parts of semen cuscutae, 6 to 12 parts of cornu cervi degelatinatum, 7 to 13 parts of tortoise shell and 7 to 13 parts of radix cyathulae. The traditional Chinese medicine composition, the traditional Chinese medicine extract and the pharmaceutical preparation are low in cost and high in safety, and can remarkably improve the ovarian function of an elderly patient suffering from hypoovarian reserve function, increase the number of sinus follicles and improve the follicle quality.

The invention relates to the field of limb exercise rehabilitation, in particular to an evaluation and training method for limb rehabilitation exercise of old people, and the method comprises a rehabilitation data collection module, an evaluation module and a training plan making module, the rehabilitation data collection module is used for collecting real-time rehabilitation information when the old people perform rehabilitation exercise in a current rehabilitation training period; the training plan making module is used for collecting rehabilitation test information of the old in a current rehabilitation exercise test, the evaluation module obtains and outputs a basic evaluation value, an endurance evaluation value and a rehabilitation effect evaluation value according to real-time rehabilitation information, the rehabilitation test information and historical evaluation data, and the training plan making module is used for automatically making a training method of a next rehabilitation training period. According to the method, the joint motion ability and pain feeling of the elderly patient are comprehensively considered, the exercise endurance related factors are introduced, the rehabilitation condition of the elderly patient is evaluated more comprehensively, the rehabilitation effect is dynamically monitored later, a scientific basis is provided for adjusting a rehabilitation training plan, and comprehensive, dynamic and personalized rehabilitation evaluation and training are achieved.

The invention relates to a method and a device for evaluating complex pathological states and comprehensive risks of elderly patients. The method comprises the following steps: on the basis of values of 19 characteristic variables of an elderly patient, judging a subtype category of a complex pathological state to which the elderly patient belongs by utilizing a complex pathological state subtype prediction model, and taking the subtype category as a value of a 20th characteristic variable; based on the values of the 20 feature variables, predicting the survival probability of the elderly patient in at least one cumulative time interval by using a first survival probability prediction model; and calculating a comprehensive risk value and a comprehensive risk level of the elderly patient based on the probability distribution of each subtype category and the corresponding first weight thereof, and the survival probability of each cumulative time interval and the corresponding second weight thereof. According to the method, firstly, the subtype category of the complex pathological state of the elderly patient is predicted, under the condition that the subtype category of the complex pathological state is considered, the survival probability of different cumulative time intervals is predicted more accurately, and then comprehensive risk assessment with higher reference value is completed.

The application discloses a lower limb venous thrombosis prevention training device and particularly relates to the field of training devices. The device comprises a support frame, both sides of the bottom of the support frame are provided with placing grooves, a sliding block is slidably connected to the support frame, a limiting groove is fixedly connected with the sliding block and slidably connected to the support frame, two driving racks are symmetrically arranged on the two sides of the sliding block and fixedly connected with the sliding block, two first driving gears are respectively engaged with the corresponding driving racks, each first driving gear is rotatably connected to the support frame, two flexible shoes are symmetrically arranged and each flexible shoe can be detachably connected with the limiting groove and the first driving gear, and a driving assembly can be driven by a user to move the sliding block. The application solves the problem that the existing prevention training device is not suitable for the elderly patients with insufficient muscle strength and improves the initiative of patient training.

The utility model relates to the technical field of oral medicine rotary notice boards, and discloses a rotary notice board for reminding an elderly patient to advice oral medicine, which comprises a mounting support clamp and an oral medicine advice rotary disc mounted on the mounting support clamp, the mounting support clamp is bent, a plurality of positioning holes are arranged on the oral medicine advice rotary disc, and the positioning holes are communicated with the mounting support clamp. A rotating structure is arranged on the periphery of each positioning hole, each rotating structure comprises a fan-shaped sticker arranged on the surface of an advice and notice support oral medicine rotating disc located over the corresponding positioning hole, and words of'medicine taking 'are written on the fan-shaped stickers. By using the rotary notice board for oral medicine taking in the advice, the on-time medicine taking rate of hospitalized elderly patients is improved, the medicine taking safety of the patients is ensured, the satisfaction degree of the patients and family members is improved, the working safety of nurses is effectively ensured, and adverse effects such as missed medicine taking, repeated medicine taking and the like are avoided.

The invention relates to a medical drug delivery treatment device and system. The medical drug delivery treatment device comprises a main body unit, an atomization treatment unit, a temperature control unit and a drug delivery storage unit. The device has the advantages that the dosing storage unit adopts a multi-cavity design, purified water and liquid medicine can be stored respectively and conveyed to the atomization treatment unit, instant mixing and atomization are completed through the atomization treatment unit, the concentration of the liquid medicine can be changed by adjusting the output proportion of the multiple cavities without shutdown, treatment interruption caused by shutdown blending in a traditional premixing mode is avoided, and the treatment efficiency is improved. And the single treatment time is shortened. Particularly, the treatment compatibility of children and elderly patients is improved; the temperature control unit is used for providing airflow with specific temperature so as to regulate and control the atomization temperature, ensure the adaptation degree between the temperature and a patient and prevent the patient from being stimulated by supercooling; the main body unit integrates all the units, and the occupied space of equipment is reduced. And a display screen outside the main body unit can visually display related parameters.

The present invention provides a portable eye medication assisting tool, comprising a housing, a mounting cylinder rotatably provided on the housing, a control wheel provided on one end of the mounting cylinder exposed to the outside, a mounting plate provided on the other end, a beveled block provided on the mounting plate; a gear shifting assembly provided in the mounting cylinder, which is used to control the rotation angle of the mounting cylinder; a medicine bottle provided in the housing, a medicine outlet tube provided at one end of the medicine bottle, the medicine outlet tube passing through the housing and extending outward; an extrusion block provided on the housing for contact with the medicine bottle, a first extrusion plate provided on one side of the extrusion block, one end of the mounting plate provided between the first extrusion plate and the housing; the control wheel is rotated to drive the beveled block on the mounting plate to control the movement of the extrusion mechanism, thereby causing the medicine bottle to deform and drip out the medicine liquid. The tool facilitates and quickly applies medicine, effectively preventing elderly patients from squeezing out too little or too much medicine due to uncontrolled hand force, thereby improving the efficiency of medication application for elderly patients.

The present invention relates to a system and method for recommending health functional foods to elderly patients with geriatric chronic diseases. According to the present invention, a method for recommending health functional foods, performed by a system for recommending health functional foods, comprises the steps of: receiving, from a target patient with a geriatric chronic disease, response data obtained from responses to a medical inquiry form or questionnaire; performing natural language processing on the response data; inputting the natural-language-processed response data into a first learning model to classify a mental disorder and a severity level of the target patient; receiving personal information and EMR data of the target patient; and inputting the personal information, EMR data , and information on the mental disorder and severity level of the target patient into a second learning model to recommend one or more health functional foods to the target patient.