64 results about "Outpatient service" patented technology

The invention discloses an outpatient nursing work automatic management system and method, and relates to the technical field of medical informationization, and the method comprises the steps: collecting the multi-modal data of a patient in real time, and carrying out the preprocessing of the multi-modal data; constructing a health risk scoring model based on FCN and LSTM, inputting the preprocessed multi-modal data into the health risk scoring model, predicting the health risk score of the patient, and evaluating the health state of the patient according to the health risk score of the patient; sorting according to the health states of the patients, dividing the outpatient service priorities of the patients, analyzing the nursing requirements of the patients, constructing a nursing requirement library, matching the nursing requirement library with the outpatient service priorities of the patients, and generating a nursing strategy. According to the invention, by constructing the health risk scoring model, deep analysis of multi-modal data is realized, the health risk of the patient is accurately evaluated, a scientific basis is provided for making a personalized nursing strategy, and the accuracy and pertinence of a nursing decision are improved.

The invention discloses an AI syndrome differentiation and treatment model system suitable for a multi-dimensional difference environment, which comprises a data integration layer and a three-cause characteristic processing and dynamic dialectical model, and is characterized in that the data integration layer comprises outpatient service data, hospitalization data, follow-up visit data, physical characteristics, pathogenesis solar terms / five-transportation six-qi and regional medicinal material relationships; the three-factor feature processing comprises human-factor feature processing, time-factor feature processing and place-factor feature processing; the dynamic dialectical model comprises multi-modal data fusion, three-factor weight dynamic allocation and curative effect correction syndrome reasoning. The syndrome differentiation accuracy of chronic epigastric pain patients reaches 89.2%, the clinical curative effect and acceptability of a treatment scheme are improved, the average iteration period of the model is shortened to 72 h through a feedback closed-loop system, the method deeply conforms to Chinese geographical population characteristics, and the method has the advantages of being high in adaptability and good in application prospect through an environment perception-physique evaluation-dynamic syndrome differentiation three-level linkage mechanism. Precise diagnosis and treatment of one person with one prescription at once is achieved, and core technical support is provided for modernization of traditional Chinese medicine.

The invention relates to the technical field of medical resource management, in particular to a pediatric outpatient service resource intelligent scheduling and patient flow prediction management system which comprises a data acquisition module, a flow prediction module, a resource scheduling module, a scheduling optimization module and a feedback correction module. Historical patient flow data, doctor scheduling data, consulting room availability data and patient reservation data are collected in real time, a patient flow prediction result generated by the flow prediction module is combined, data support is provided for resource scheduling, the resource scheduling module generates a preliminary scheduling scheme according to the prediction result and actual data, and the preliminary scheduling scheme is used for resource scheduling. And a scheduling scheme is optimized through a simulated annealing algorithm, and the resource utilization rate is improved. And the feedback correction module monitors patient flow and resource use conditions in real time, and adjusts a scheduling scheme in time to cope with emergencies and expected changes. According to the invention, the scheduling scheme can be dynamically adjusted under different demand fluctuations, the high efficiency and flexibility of resource allocation are ensured, and the service quality of hospitals is improved.

The invention discloses an outpatient service information query and reservation management system and method based on big data, and the system comprises an outpatient service information collection and processing module, a medical map construction and retrieval module, a number source balanced distribution module, a flow dynamic prediction module, a number source elastic delivery module, and a reservation interaction management module. Wherein the number source balanced distribution module, the flow dynamic prediction module and the number source elastic release module respectively comprise a plurality of functional units. The outpatient information acquisition and processing module integrates multi-dimensional data and transmits the data to the medical map construction and retrieval module, and the module constructs an associated map and retrieves matching information; the number source balanced distribution module calculates a number source distribution proportion in combination with data, and the flow dynamic prediction module outputs a flow prediction result by integrating multiple factors; the number source elastic delivery module determines a number source delivery strategy according to the distribution proportion and the prediction result, and the reservation interaction management module provides a query reservation service and feeds back data. Through multi-module cooperation, the resource utilization rate and the intelligent level of outpatient service management are improved.

The invention relates to the field of public health, in particular to an intelligent identification and real-time early warning system for unknown pathogens in respiratory tract samples of fever outpatient service, which comprises a data quality control processing module for performing quality control and standardized preprocessing on metagenome original sequencing data to obtain pure microorganism reading length; the known pathogen identification and annotation module is used for identifying known pathogens, classifying non-host reads, constructing a classification database according to a classification result, and annotating reads with low classification confidence or unclassified reads in the classification result to obtain an annotation table; the recognition model training module is used for constructing a positive and negative sample data set and training a recognition model; and the unknown pathogen identification module is used for identifying potential unknown pathogens in the metagenome of the pure microorganism read length by adopting the trained identification model according to the classification database and the annotation list. According to the invention, identification, classification and dynamic monitoring of known and unknown respiratory pathogens can be realized.

The invention discloses an outpatient service flow intelligent scheduling and resource optimization method and system, and relates to the field of medical information intelligent scheduling and resource optimization, and the method comprises the steps: collecting images of waiting areas of all diagnosis and treatment points, extracting personnel density features, obtaining a personnel movement track through combining with a multi-target tracking algorithm, and constructing a diagnosis and treatment point people flow network topological graph; based on a topological graph, analyzing people flow convergence and dispersion characteristics, and combining historical treatment data to predict a future congestion trend of each treatment point; and according to congestion evolution and real-time reception capability, establishing an optimization model which aims at minimizing average waiting time, generating an optimal shunting path combination, and planning a personalized navigation path for a patient. The dynamic intelligent scheduling of the outpatient service process is realized, and the medical resource utilization rate and the patient treatment experience are effectively improved.

The invention discloses a fever outpatient service body temperature detection device, and relates to the field of medical instruments, the fever outpatient service body temperature detection device comprises a detection door, an infrared camera is installed in the detection door, a host is installed in the detection door, and a control panel is installed on the side surface of the detection door; and temperature measurement data of the infrared camera is displayed on the control panel through the host, a storage groove is formed in the surface of the detection door, a temperature measurement bracelet is placed in the storage groove, and a conveying device is installed in the storage groove. According to the fever outpatient service body temperature detection equipment, the detection door, the infrared camera and the temperature measurement bracelet are arranged, the infrared camera on the detection door is used for temperature detection, disease judgment can be more accurately carried out, meanwhile, the number of patients in a hospital can be more conveniently unified, final unified data management is facilitated, and the detection efficiency is improved. The overall accuracy and diagnosis efficiency are improved, and final unified management is more convenient.

The utility model relates to the technical field of outpatient nursing. The emergency multifunctional medical bag comprises a medical bag body, a dustproof cover is placed at the upper end of the medical bag body in an attached mode, chains are installed on the medical bag body and the dustproof cover, chain heads are installed at one ends of the chains, hook-and-loop fasteners are arranged at the two ends of the dustproof cover, and placing boxes adhere to the surfaces of the hook-and-loop fasteners. Single hook-and-loop fastener hook faces are fixed to the two ends of the inner wall of the medical kit body, and multiple sets of isolation plates are attached to the surfaces of the single hook-and-loop fastener hook faces. The position of the isolation plate is moved on the surface of the hook face of the single hook-and-loop fastener, and after the isolation plate is moved to a proper position, the isolation plate is bonded through the hook-and-loop fastener, so that the size of the isolation plate can be adjusted according to articles needing to be placed, and the applicability of equipment is improved to a certain extent.

The invention relates to the field of gene mutation detection, and particularly discloses a POCT (point-of-care testing) detection method for V617F mutation of a human JAK2 gene. According to the method, an integrated detection tube is divided into a cell lysis-nucleic acid binding magnetic bead area, a nucleic acid cleaning area and a nucleic acid elution-amplification area from top to bottom in sequence through a plurality of hydrophobic layers, the cell lysis-nucleic acid binding magnetic bead area is pre-filled with a lysis solution, the nucleic acid cleaning area is pre-filled with a nucleic acid cleaning solution, and the nucleic acid elution-amplification area is pre-filled with a nucleic acid elution solution. A nucleic acid elution-amplification system is pre-installed in the nucleic acid elution-amplification area, in the detection process, only a sample needs to be added into the cell lysis-nucleic acid binding magnetic bead area, a corresponding instrument is inserted, and operation is conducted, so that nucleic acid extraction, amplification and result reporting can be completed, and additional manual processing steps are not needed. The method has the advantages of simplicity and convenience in operation, short time consumption, high sensitivity, strong specificity, low pollution risk and the like, can be directly used for whole blood sample detection, meets the rapid diagnosis requirements of clinical outpatient service, and is particularly suitable for auxiliary diagnosis of BCR-ABL negative myeloproliferative tumors.

The invention discloses an outpatient service scheduling method and system based on deep learning. And obtaining outpatient service information of the user. And obtaining a first fusion feature vector based on the user outpatient service information. And through a first prediction network, based on the user outpatient service information and the first fusion feature vector, detecting a time change rule. According to the method, consulting room positions are detected by different users at different time points in a plurality of historical days, and the queuing condition is found by adopting big data, so that a first prediction network capable of estimating the queuing number is found. Detecting a time point of arriving at the position of each user detection consulting room, and finding a queuing number and a to-be-processed transaction number corresponding to the time point through a first prediction network; through multiple times of judgment, deep learning and a greedy algorithm are adopted to jointly judge the shortest time point when a detection report is obtained after queuing and processing and the user detection consulting room position recommended to the user for sequential detection.

The invention relates to a knowledge graph-based intelligent triage recommendation method and system for an intelligent outpatient service. The method comprises the following steps: constructing an outpatient service knowledge unit network containing medical entities, attribute features of the medical entities and association relationships; receiving symptom description information input by a patient, and extracting a corresponding symptom entity combination and attribute features of each symptom entity; performing association path analysis on the symptom entity combination and the attribute features based on an outpatient knowledge unit network, and generating a multi-level association path sequence from the symptom entity combination to the department entities; calculating recommendation priority scores of the department entities according to the association strength characteristics of the association paths, and generating a triage recommendation scheme; and feeding back the triage recommendation scheme to the outpatient triage system, receiving a triage execution result, and updating the association strength characteristics of the corresponding association paths in the outpatient knowledge unit network according to the result. According to the method, intelligent and accurate outpatient triage recommendation can be realized, and the triage efficiency and accuracy are improved.

The invention relates to the technical field of data processing, in particular to an outpatient service payment medical insurance data rationality analysis method and system based on clustering analysis, and the method comprises the steps: converting the multidimensional resource consumption of outpatient service records into standard comparable structure expression through constructing a unified resource structure vector, and providing unified input for subsequent analysis. On the basis, an improved clustering algorithm with resource sensitivity and an abnormal penalty term is introduced, different resource consumption modes are automatically recognized, resource cluster tags are generated, and it is guaranteed that a clustering result fits the actual features of medical insurance. Furthermore, a behavior path modeling mechanism is established in the cluster, and an operation type weight and a redundant path penalty function are introduced to quantify and form a complexity index reflecting structural rationality and behavior normalization. And finally, comparing the resource cluster with the medical insurance group, and proposing an intra-group structure consistency score and a payment deviation evaluation index.

The utility model provides a disinfection device for a fever outpatient service and an isolation point, and relates to the technical field of disinfection, the disinfection device comprises a protective seat and a first connecting disc fixedly connected to one side of the protective seat, a lamp holder is fixedly connected to the side, away from the protective seat, of the first connecting disc, and the lamp holder is connected with a lamp body; a protective cover is arranged on the outer surface of the first connecting disc, the lamp body and the lamp holder are both located in the protective cover, and the protective seat and the protective cover are matched for protection when the lamp holder and the lamp body are not used. Through the arrangement of the protective seat, the first connecting disc and the protective cover, the protective seat, the first connecting disc and the protective cover cooperate with one another to form physical protection, collision and impact in the transfer process are effectively resisted, the risk that the lamp body and the lamp holder are damaged due to accidental collision is remarkably reduced, and the service life is prolonged.

The invention relates to the technical field of microorganism preservation, in particular to a novel gonococcus preservation solution which comprises the following components in parts by mass: 1-2 parts of a preservation agent, 40-60 parts of a solvent and 15-25 parts of a protective agent. According to the novel gonococcal preservation solution provided by the invention, the 30% glyceropancreatin soybean broth has a better gonococcal preservation effect than the conventional 10% skim milk at-20 DEG C, so that the gonococcal preservation of outpatient service and basic medical institutions with limited laboratory conditions is facilitated.

The invention relates to the technical field of medical equipment systems, in particular to a method for realizing patient priority operation in an intelligent outpatient service scene, which comprises the following steps of: 1, advancing a patient in a preliminary diagnosis state; according to the method for realizing the patient priority operation in the intelligent outpatient service scene, queuing sequence optimization: through configuration setting, several serial numbers are reserved in advance and are not participated in generation, so that the queuing sequence can be effectively optimized, and the situation that re-visit patients or number-missing patients are ranked behind more preliminary visit patients is avoided; therefore, the problem that the doctor cannot see the doctor in time within the working time is solved. According to the method, after the method is inserted into a specified patient through manual operation, a related serial number is modified into a form of'a patient state + a maximum sorting number of a patient in a current state plus one ', so that the waiting time of the patient with the number missing can be effectively shortened, and dissatisfaction brought to the patient is reduced.

The utility model discloses an outpatient emergency patient protecting and transporting device, which relates to the technical field of medical auxiliary instruments and comprises an outpatient cart, a stretcher bed is arranged in the middle of the upper portion of the outpatient cart in the direction parallel to a bed board of the outpatient cart, and a reset spring for extruding the stretcher bed towards one side far away from the outpatient cart is mounted on the outpatient cart. The stretcher bed slides in the height direction of the outpatient service cart. Extension plates I are arranged on the bed plate of the outpatient service cart and are positioned on the two sides of the stretcher in a sliding manner. The gravity acts on the stretcher bed, so that the stretcher bed moves downwards, the first extension plate and the second extension plate are driven to be unfolded, the lying space of an outpatient emergency patient is larger, the experience feeling is better, after the gravity on the stretcher bed is removed, the stretcher bed is extruded to move upwards due to the action of the reset springs, the first extension plate and the second extension plate are folded, and the stretcher bed is convenient to use. The space on two sides is not occupied, so that the volume of the whole device is reduced, and the storage is convenient.

The invention relates to the technical field of big data analysis, and discloses a big data analysis-based outpatient service payment medical insurance data monitoring analysis management system, which comprises a data acquisition module for acquiring outpatient service medical insurance settlement data before and after hierarchical diagnosis and treatment of all medical insurance fixed-point medical institutions in a target area; and the data analysis module is used for acquiring sub-data change amplitudes of the patient flow direction data, the cost benefit data and the disease matching degree data before and after the implementation of the hierarchical diagnosis and treatment in the same target area according to the outpatient medical insurance settlement data before and after the implementation of the hierarchical diagnosis and treatment, and constructing a change amplitude data set. The method comprises the steps of obtaining outpatient medical insurance settlement data before and after hierarchical diagnosis and treatment of a medical insurance fixed-point medical institution in a target area, obtaining a change amplitude data set and a difference value data set according to the outpatient medical insurance settlement data, completing correction, and performing comprehensive evaluation according to the corrected data to obtain a hierarchical diagnosis and treatment effectiveness evaluation result.

The invention discloses medical dressing change auxiliary equipment convenient to move for surgical outpatient service, and relates to the technical field of surgical dressing change auxiliary equipment.The medical dressing change auxiliary equipment comprises a cart, and a shielding mechanism is arranged above the cart; and a support assembly. Two reciprocating lead screws are driven by a motor to rotate, two pushing strips move on the reciprocating lead screws in a reciprocating mode, the pushing strips can move by a certain distance in penetrating grooves when moving, at the moment, L-shaped moving bases cannot be driven to move, after the pushing strips move to one ends of the penetrating grooves, the L-shaped moving bases are driven to move, and then the soft supporting arms are driven to move; at the moment, the gear and the rack are meshed to drive the soft supporting arm to rotate, so that the soft supporting arm rotates and shifts below the limb, the supporting position of the soft supporting arm on the limb is regularly changed, and the situation that during dressing change, the soft supporting arm supports the same position of the limb for a long time, so that blood circulation of the limb of a patient is unsmooth is avoided; local hyperemia, swelling, local tension, aching pain or numbness of limbs are caused.

The application discloses an inductive self-disinfection type traditional Chinese medicine instrument placing box for outpatient service, which comprises a box body and a stainless steel plate, a partition frame is fixedly installed on the inner side of the box body, pull-out plates are slidably installed on the two sides of the inner wall of the partition frame through notches, a top cover is hingedly connected to the top of the pull-out plate, a sealing plate is fixedly installed at the bottom of the top cover, a hollow placing frame is fixedly installed on the inner side of the top cover, a plurality of limiting columns are fixedly installed on the opposite sides of the pull-out plate, two hinged rods are slidably sleeved with the outer sides of the limiting columns, and the box body is provided with a plurality of recessed grooves which are arranged on the outer wall of the box body and are used for placing the traditional Chinese medicine instruments.

The invention relates to the technical field of artificial intelligence, in particular to an infectious disease data monitoring intelligent early warning method and system based on artificial intelligence, and the method comprises the steps: collecting hospital outpatient service records, laboratory detection results and key public place activity information through a unified interface, and constructing a standardized pathological event node sequence; constructing a latent propagation map containing patient nodes and place nodes based on event nodes, and introducing a place type risk coefficient and an in-hospital exposure density penalty term to calculate a propagation factor weight; a weighted graph neural network of a place sensitivity gain and path attenuation mechanism is introduced to carry out risk scoring on graph nodes, and a risk probability set is generated; node risk results are aggregated according to regions, and an aggregation and amplification mechanism is introduced to generate multi-level early warning levels; a task list is generated from a predefined response template library by calculating task priorities, and the task list is allocated to hospitals, disease control and communities for execution through an automatic scheduling system, so that rapid closed loop of prevention and control actions is realized.

The invention provides a concept-semantic migration clinical auxiliary system which maps traditional medical diagnosis (such as liver fire hyperactivity) to a modern medical semantic space and automatically prompts corresponding western medicine examinations (ALT, blood pressure and the like). Based on a DIKWP semantic model, the system performs parallel reasoning on western medicine diagnosis and a traditional conditioning scheme, and an intelligent layer comprehensively outputs traditional and western medicine combined optimization suggestions. A doctor interface visually displays a mapping result and a joint scheme, and supports interactive adjustment. The system helps doctors to quickly convert traditional diagnosis into quantitative basis, avoids missed diagnosis, and improves comprehensiveness and personalization of diagnosis and treatment decisions. The system is suitable for hospital outpatient service, multidisciplinary consultation and basic telemedicine, promotes cooperation of traditional Chinese medicine and western medicine, and has wide application prospects and intellectual property values.

The embodiment of the invention provides a health station system based on artificial intelligence assistance and a health analysis method, and relates to the technical field of intelligent health services, and the system comprises an identity recognition module which is used for carrying out resident identity recognition and creating a personal health file; the data acquisition module is used for acquiring vital signs and evaluating a health scale; the intelligent analysis module is used for integrating historical medical records of residents, outpatient service records of doctors and a chronic disease management dynamic knowledge base on the basis of a big language reasoning model and an enhanced retrieval technology, analyzing collected data and generating a health risk assessment and management scheme; and the content generation module is used for automatically generating a health report and guidance content according to the health risk assessment and management scheme by adopting a multi-modal generation model. According to the technical scheme of the invention, the accuracy and efficiency of primary health services can be improved.

The invention discloses an outpatient service auxiliary examination optimization scheduling system and method based on artificial intelligence, relates to the field of medical treatment, and solves the problem that an existing outpatient service auxiliary examination optimization scheduling system is poor in optimization scheduling effect. The scheduling type module is used for carrying out preliminary examination duration prediction on each item to be examined and obtaining patient scheduling type division data according to a prediction result to obtain preliminary examination prediction data, and the scheduling analysis module is used for carrying out examination sequence analysis on patients of a first scheduling type to obtain patient examination analysis data and sending the patient examination analysis data to the first scheduling type; and the project scheduling module is used for performing project scheduling and project inspection time length prediction on the first scheduling type of patients and the second scheduling type of patients according to the inspection preliminary prediction data and the patient inspection analysis data. According to the invention, the pertinence and scientificity of the outpatient auxiliary inspection optimization scheduling system can be improved.

The invention discloses a full-specialized cooperative assistant system based on a cloud platform, and the system is characterized in that the system comprises a general assistant end, a specialized assistant end, a management end, the cloud platform, and a data center. Through a mode of tightly combining a doctor workstation, the online cooperation outpatient service and the doctor offline outpatient service work are deeply fused. A general practitioner of a general hospital can finish online registration, payment and communication with a specialist physician through the general assistant end, and the specialist physician of the specialist hospital can finish the work of reception, billing, remote communication and the like through the specialist assistant end.

The invention discloses a digital intelligent management method for CIED patients and related equipment. The method comprises the following steps: acquiring an implantation period of a cardiac pacemaker of a target patient, wherein the implantation period comprises an acute period, a stable period and an adjacent replacement period; based on the implantation period of the cardiac pacemaker where the target patient is currently located, selecting a monitoring management strategy associated with the current implantation period; and performing intelligent management on the target patient according to the selected monitoring management strategy. The problems that the self-management ability of patients is generally not high, CIED needs to be carried for lifetime, management is improper, the life quality is affected, manual management is mostly adopted at present, traditional follow-up visit depends on outpatient service, and continuous tracking is difficult can be solved.

The invention relates to the technical field of medical instruments, in particular to a portable multi-pipeline thoracic closed drainage tube which comprises a shell, a fixing tube is connected to the interior of the shell, a hose is connected to the outer side of the fixing tube, a hydrops assembly is arranged at the bottom of the shell, and an exhaust assembly is arranged at the top of the shell. Through the arrangement of the hydrops assembly, a special one-way airtight structural component can be adopted to prevent gas from flowing back to the thoracic cavity, the negative pressure of the thoracic cavity and the drainage of pneumatosis in the thoracic cavity can still be maintained after a water-sealed bottle is abandoned, the effects of portability and safety are achieved, and a pneumothorax patient can be prevented from being hospitalized and recuperated home after catheterization; the drainage device can be pulled out in an outpatient service after the illness state is improved, the cost of a patient is reduced, a drainage bag or a water-sealed bottle can be externally connected to the connector for the patient with pleural effusion, the connector is of a threaded structure, and meanwhile a conversion connector component of a drainage tube of a traditional water-sealed bottle structure can be provided.

The invention discloses a hand back puncture tourniquet structure for outpatient service, and belongs to the technical field of medical auxiliary devices. Comprising a tightening belt, a mounting block is fixedly mounted in the middle of the upper end of the tightening belt, a rotating seat is rotatably connected to the upper end of the mounting block, a movable support is rotatably mounted on the rotating seat, a fixing rod is rotatably connected to the side, away from the mounting block, of the movable support, and a blood vessel imager is fixedly mounted at the lower end of the fixing rod; the blood vessel imaging device comprises a fixing rod, the lower end of the fixing rod is fixedly provided with a sleeve, the pressure detection assembly comprises a moving rod installed in the sleeve in a sliding mode, and the lower end of the moving rod is provided with a first pressure sensor. The blood vessel state can be effectively detected through the arranged first pressure sensor, a worker is helped to judge whether the blood vessel is in the optimal filling state or not, and the success rate during puncture can be increased.

The invention discloses a serum metabolism marker combination for ectopic pregnancy diagnosis and rupture risk prediction and application of the serum metabolism marker combination, and relates to the technical field of biological science. The metabolic fingerprint diagnosis model (AUCgt, 0.91) and the metabolic marker panel (AUCgt, 0.92) have the advantages that the performance of the metabolic fingerprint diagnosis model (AUCgt, 0.91) and the performance of the metabolic marker panel (AUCgt, 0.92) are obviously superior to those of an existing'ultrasonic + beta-hCG 'diagnosis mode, the problems of diagnosis delay, misdiagnosis and missed diagnosis clinically at present are effectively solved, and the clinical rigid requirements of early and accurate diagnosis are met; the fracture risk prediction model AUC 0.885 constructed by the method disclosed by the invention fills the current clinical blank. Key decision support can be provided for doctors, early intervention on high-risk patients is achieved, excessive medical treatment on low-risk patients is avoided, and the mortality risk of pregnant and lying-in women is reduced. According to the invention, based on the nanoparticle-assisted laser desorption / ionization mass spectrometry technology, ultra-fast detection of only about 3 seconds for single sample detection is realized, and the method is expected to become a fast detection tool in emergency treatment and outpatient service scenes.

Disclosed in the present invention is an intelligent appointment slot scheduling system based on a remote outpatient service. The intelligent appointment slot scheduling system comprises a remote outpatient service management system, and the remote outpatient service management system is connected to an intelligent appointment slot management system, an intelligent outpatient appointment slot recommendation system, an intelligent outpatient appointment slot analysis system, and an intelligent outpatient appointment slot adjustment system. In the intelligent appointment slot scheduling system based on a remote outpatient service of the present invention, an intelligent remote outpatient appointment slot recommendation and adjustment mechanism is set, and an intelligent analysis and recommendation mechanism is constructed on the basis of the demands of patients in all regions for experts of all specialties, comprising analysis of historical appointment slot usage, analysis of regularly collected appointment slot demands, analysis of daily appointment slot demands, and collaborative demand analysis of a vertical service system having remote consultation demands, so as to balance the supply and demand of appointment slot arrangements and actual appointment registers as much as possible, so that remote expert resources are efficiently utilized, thereby achieving the efficient development of more and more remote outpatient services.

The utility model discloses a cannula side hanging needle for conjunctival lymphatic vessel dilation treatment, which comprises a disposable sterile injection needle, a sterile side hanging needle serving as a pillow inner is sleeved in the disposable sterile injection needle, the disposable sterile injection needle is a 20G disposable sterile injection needle with the length of 37mm, the outer diameter of 0.9 mm and the inner diameter of 0.6 mm, and the sterile side hanging needle is 80mm in length and 0.3 mm in diameter. The conjunctival lymphatic vessel dilator has the advantages of being reasonable in structural design, capable of completely resecting and dilating lymphatic vessels and cysts for conjunctival lymphatic vessel dilation treatment, free of residues, small in incision, free of suture needles, capable of achieving surface anesthesia, low in treatment cost, simple and easy to implement, capable of being completed under an outpatient service slit lamp, small in postoperative reaction, smooth and flat in conjunctiva, free of complications, safe, reliable and suitable for popularization and application. And the ophthalmology outpatient service is easy to popularize.