120 results about "Outpatient service" patented technology

The invention provides a multi-source medical outpatient service data comprehensive management method and platform based on RPA, and the method comprises the steps: S1, designing a script based on robot process automation, and carrying out the data collection and storage of multiple systems; s2, constructing a knowledge graph # imgabs0 # according to the structured data set; s3, introducing a causal inference technology into the knowledge graph # imgabs1 #; s4, according to the abnormal mark knowledge graph # imgabs2, generating personalized medicine use optimization suggestions through joint learning of a graph structure and node attributes; and S5, implementing closed-loop management by executing optimization suggestions and dynamically updating system rules. According to the method, the defects of a traditional method in the aspects of data integration, drug use anomaly detection and optimization suggestion generation can be overcome.

The invention relates to the technical field of medical behavior data monitoring, in particular to a medical insurance common outpatient service supervision system and method based on a fraud abnormal portrait technology, and the system comprises a medical transaction data collection module, a medical behavior analysis module, a risk assessment feedback module and a medical transaction database. According to the medical insurance ordinary outpatient service supervision system and method based on the fraud anomaly portrait technology, a more comprehensive risk assessment system is provided, and by means of an intelligent means, the medical object behavior anomaly risk, the medical institution behavior anomaly risk and the number of abnormal behavior overlapping cycles are comprehensively analyzed, so that the risk assessment efficiency is improved. According to the invention, the method achieves the precise recognition, early warning and prevention of fraud abnormal behaviors in a common medical insurance outpatient service, facilitates the improvement of the use efficiency of medical insurance funds, guarantees the fairness and sustainability of a medical insurance system, protects the benefits of a patient, maintains the fairness and efficiency of a medical system, and also facilitates the improvement of the management level and service quality of a medical institution.

The invention discloses a hospital outpatient emergency service system based on a cloud server, and relates to the technical field of outpatient emergency services. The cloud data center is in communication connection with a medical data acquisition module, an abnormity identification module, an abnormity analysis module, an emergency early warning evaluation module, a medical care resource allocation module, a medical material management module and a mobile application module. According to the hospital outpatient service emergency service system based on the cloud server, potential emergency requirements or risk points are rapidly identified by monitoring medical material inventory, patient flow and medical staff working state data of all departments in real time, the emergency early warning module sends out an early warning signal, and the emergency early warning module sends out an early warning signal. According to the method and the system, the emergency response process of triggering replenishment reminding and deploying medical staff or medical supplies can be immediately started, so that the processing efficiency of hospital outpatient service in dealing with emergencies is remarkably improved, and delay and loss caused by information lag or untimely processing are reduced.

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 relates to the technical field of communication adjustment, and discloses a communication system and method for diabetes outpatient service user management, and the system comprises an acquisition module which is configured to acquire real-time communication data of a plurality of communication devices in a diabetes management system; and the judgment module is configured to obtain network parameters of each communication device, and is further configured to determine a communication fluctuation value according to a relationship among the historical communication data. The prediction module is configured to predict a communication performance change trend of each communication device in a preset time period based on the long short-term memory network, and generate a prediction threshold. The control module is configured to dynamically adjust the communication path according to the relation between the real-time communication fluctuation value and the prediction threshold value. The encryption module is configured to dynamically encrypt the adjusted communication path and data. The communication efficiency of diabetes outpatient service user management can be improved by collecting the communication data in real time, predicting the performance change trend, dynamically adjusting the communication path and encrypting the protection data.

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 utility model discloses an outpatient operation chair bed convenient to adjust, which comprises a base, a hinge frame is hinged to the top of the base, a first motor is fixedly mounted on one side of the base, a mounting plate is hinged to the top end of the hinge frame, a first screw rod is fixedly sleeved on an output shaft of the first motor, and a second screw rod is fixedly sleeved on the output shaft of the first screw rod. The first lead screw is sleeved with a moving rod in a threaded mode, the moving rod is rotationally connected with the hinge frame, mounting grooves are formed in the two sides of the top of the mounting plate, second lead screws are rotationally mounted on the inner walls of the two sides of the two mounting grooves, and any second lead screw is sleeved with a connecting rod in a threaded mode; the two second lead screws located in the same mounting groove are fixedly connected. The outpatient service operation chair bed convenient to adjust is simple in structure and convenient to use, the length of the chair bed is convenient to adjust, and the outpatient service operation chair bed convenient to adjust can be conveniently used by people with different heights for operations.

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 an accompanying diagnosis system based on an online consultation service, relates to the technical field of medical data processing, and solves the problems that a traditional accompanying diagnosis system is inaccurate in demand classification and low in triage efficiency and an online consultation demand is difficult to convert into an effective outpatient service. The patient demand acquisition module extracts a feature vector Fpd of diagnosis related data, and the demand classification module determines demand splitting and matching adjustment by calculating a composite demand association degree Fgx; the doctor-patient matching module optimizes a doctor recommendation sequence by calculating a dynamic triage adjustment coefficient Fdz; the demand conversion module calls a hospital business system API to query medical resources, counts a successful scheduling frequency Rac, a total scheduling attempt frequency Rat and a resource availability rate Rar to calculate a resource scheduling success rate Rds, and adjusts demand distribution according to the Rds; the demand conversion rate Ctr is calculated, and the matching strategy, the reservation mechanism and the patient guidance are optimized according to the Ctr, so that the success rate of conversion from the online demand to the offline service is improved, and the efficiency of the accompanying diagnosis system and the patient diagnosis experience are 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 utility model provides an integrated image film desktop computer for clinic doctor-patient interaction, relates to the field of medical instruments, and aims to solve the problems of the existing clinic doctor-patient image film interaction, including that all image films need to be printed, the films are troublesome to print, the films cannot be stably watched, the films cannot be effectively recycled and processed and the like. A film printer is arranged on the left side in the machine body; a film containing box is arranged on the front side of the film printer; an identity recognition module is arranged at the top of the film printer; a film crusher is arranged on the right side in the machine body; containing drawers are slidably inserted into the left and right ends of the front side of the machine body; a driving motor is arranged at the top end in the machine body; and a switching shaft is rotationally mounted in the middle of the top of the machine body. The film printer can print a film in an outpatient room, a patient does not need to run in a hospital to complete film printing, and the diagnosis efficiency of the patient is improved.

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 discloses a biological chip for detecting C-reactive protein as well as a preparation method and application of the biological chip. The biochip comprises a solid phase carrier and an immunodetection system, the solid phase carrier comprises a substrate and a glue layer, the immunodetection system comprises a microarray and a biological material, and the biological material is used for targeted recognition of a target object to be detected and is selected from an aptamer or an antibody. The lowest detection limit value of the biochip is 1.1 ng / mL, and the biochip can be used for rapidly and ultrasensitively detecting the C-reactive protein, is suitable for rapid detection of patients by basic medical institutions, and has great significance in rapid screening of patients in remote areas or outpatient service.

The invention, which relates to the technical field of clinic management business, discloses a clinic treatment auxiliary system comprising a medicine management module, a member management module, a patient management module, an outpatient service management module, a pharmacy management module, an execution management module, a reservation management module, an examination management module and a number calling large screen module. The medicine management module is used for counting according to the consumption state of each type of medicine; the member management module is used for managing member assets accumulated by the patient, such as points, recharge and balance, and associated family members enjoy common rights and interests; the patient management module is used for the system to automatically record files for each patient seeing a doctor in a clinic; the outpatient service management module comprises a patient file, doctor seeing information, doctor seeing information and a viewing report; the pharmacy management module is used for providing basic data, such as medicine names, specifications, usage and quantity information states, required by doctors during medicine preparation and also realizing online diagnosis and treatment and online medicine preparation functions; the execution management module is used for displaying patient archives and execution prescriptions; the appointment management module is used for enabling the patient to do not need to queue up and wait offline after online appointment time; the inspection management module displays the inspection analysis report according to the inspection; according to the clinic treatment assisting system, doctor-patient communication is facilitated, appointment and registration of the patient are facilitated, the queuing time for seeing a doctor is saved, and the efficiency is improved.

The invention relates to the technical field of self-service of outpatient service inspection, and discloses a self-service system for outpatient service inspection, which comprises a service host and a management system, the service host comprises a storage bin with a cabinet door on the back, a machine bin is fixed on the top of the storage bin, a touch display screen is embedded in the front side of the machine bin, and the cabinet door is fixed on the front side of the machine bin. The management system comprises a user information reading module, a sampling tube ordering module, a sampling tube discharging module and a quitting module. According to the self-service system and method for outpatient examination, through cooperation of the service host and the management system, charging can be automatically carried out, labels and sampling tube bodies can be output, ureter issuing services can be automatically, efficiently and safely provided, the workload of medical staff is relieved, the waiting time of patients is shortened, and the working efficiency is improved. The sampling pipe bodies are loaded on the multiple pipe frames at the same time for use, the single storage amount is large, meanwhile, the number of the sampling pipe bodies can be monitored in real time, and the device is used for alternate replacement of the multiple pipe frames.

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 discloses a self-service terminal with an adjustable operation screen, and relates to the technical field of medical self-service terminals, when the self-service terminal is used, firstly, an installation worker installs a ticket issuing and payment all-in-one machine in an outpatient service hall, a service hall and other places, assembling and program application are carried out through professionals, and when the self-service terminal is used, the operation screen can be adjusted. A user adjusts the facing height and angle of the operation screen according to the height and visual angle of the user, when the height is adjusted, the user presses down a height adjusting key, a motor box drives a lead screw to rotate, threads on the surface of the lead screw are matched with threads of a bearing on the inner side of a height adjusting sliding block for use, and rotation of the motor box is converted into vertical sliding of the height adjusting sliding block; the height adjusting sliding block slides up and down on the outer surface of the lead screw, the operation screen protection frame and the operation screen can achieve height adjustment, and when the angle needs to be adjusted, the angle adjusting key is pressed down, and the angle adjusting motor drives the angle adjusting driving shaft to rotate.

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 present invention relates to an emergency triage system, which at least includes a triage management unit, a LoRa terminal and a server. It is characterized in that the server determines the urgency for a patient to receive treatment or outpatient service based on the severity of the patient's condition, assigns a relative priority to each patient through the medical factors of the patient's symptoms. The server has at least one triage category database based on patient-derived data, and each triage category is evaluated based on at least one scoring form, and at least one evaluation score is assigned to the severity of the patient's medical condition to receive queries from the server and provide responses. The present invention incorporates other information of the patient during triage, such as triage date and time, the patient's past medical history, age, etc. into the judgment factors, simultaneously inputs and judges multiple pieces of information of the patient, matches the scoring form with the patient's current state, so as to perform a predetermined score more quickly and conveniently, and thus perform timely and accurate patient triage allocation.

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 relates to a data collection and arrangement device for outpatient patients in the otolaryngology department, and belongs to the field of otolaryngology outpatient service, the data collection and arrangement device comprises a cabinet body and a limiting frame, a moving assembly is installed on the cabinet body, a limiting assembly is installed on the cabinet body, and the moving assembly comprises an installation plate fixedly installed in the cabinet body. A sliding rod is fixedly mounted in the cabinet body, two moving blocks are slidably connected to the outer side of the sliding rod, and connecting rods are fixedly mounted at the tops of the two moving blocks. According to the data collection and arrangement device for the outpatient of the otolaryngology department, by installing the moving assembly, the distance between the two partition plates can be conveniently adjusted according to use requirements, so that the storage space in the cabinet body can be conveniently adjusted, the use flexibility of the device is improved, and the use effect of the device is improved; and the stored files can be conveniently limited, the situation that the files fall and topple is prevented, and the file storage stability is improved.

The invention discloses a flow calculation-based doctor seeing index calculation method for a patient outpatient doctor seeing decision model. The method comprises the following steps: step 1, constructing a patient outpatient doctor-seeing decision model based on flow calculation; step 2, the Kafka distributed message distribution system obtains the existing doctor seeing information of the outpatient from the hospital information system, and stores the model and parameters required by the model; and step 3, when a new patient sees a doctor in an outpatient service, acquiring parameters related to the new patient and required by the model, and calculating the longest waiting time and the longest tolerable queue which can be tolerated by the outpatient patient in real time through a Spark Streami ng flow calculation framework flow according to the model and parameter information stored in the Kafka distributed message distribution system. According to the method, the service value model of patient outpatient diagnosis is established, the longest waiting time and the longest tolerance queue which can be tolerated by the patient can be calculated in real time, timely data support is provided for hospital outpatient departments, resource allocation optimization is facilitated, and patient satisfaction is improved.