127 results about "Patient satisfaction" patented technology

The invention relates to the technical field of medical rehabilitation, in particular to an artificial intelligence-based orthopedic full-cycle rehabilitation management system, which comprises a rehabilitation demand evaluation module, a three-dimensional pathological modeling module, a multi-modal training generation module, a rehabilitation effect prediction module, a dynamic parameter adjustment module and a full-cycle management module. Multi-dimensional data such as bone mineral density, joint motion range, gait mechanics and psychological state of a patient are collected, an artificial intelligence algorithm is combined for analysis, a personalized rehabilitation scheme is generated, and rehabilitation parameters are predicted and adjusted in real time. The system can dynamically correct the training intensity, the nutritional supplement dosage, the psychological intervention mode and the rehabilitation schedule, and the safety and reliability of data are guaranteed through the block chain technology; according to the system, biomechanics, nutriology, psychology and environmental factors are comprehensively fused, the system has strong adaptive ability and full-period management ability, real-time optimization can be performed according to the rehabilitation process of a patient, and the rehabilitation effect of the orthopedics department and the satisfaction degree of the patient are remarkably improved.

The invention discloses an oral diagnosis and treatment patient service platform based on reinforcement learning, and relates to the technical field of diagnosis and treatment services, and the platform comprises a health scoring module which integrates multi-source data, generates personalized oral health scores through a dynamic weight distribution model, and displays high-risk items in combination with 3D visualization; the patient management and marketing module tracks patient behaviors, clusters and classifies the patient behaviors, generates a dynamic follow-up visit path by using multi-target reinforcement learning, and matches a precise marketing verbal skill through a knowledge graph; the in-diagnosis auxiliary module synchronizes health data of the patient to the doctor terminal in real time, detects prescription conflicts and performs early warning, and generates personalized communication verbal skills in combination with historical preferences of the patient and real-time emotion analysis; through multi-dimensional data integration and intelligent processing, the whole oral diagnosis and treatment process is optimized, the diagnosis and treatment efficiency and the patient satisfaction degree are improved, the operation cost is reduced, and remarkable innovativeness and practicability are achieved.

The invention relates to a human body posture capture-based disabled assisting robot planning method and system, and the method comprises the following steps: S1, a patient is fixed to a system main body through a flexible fixing device, so that the posture capture precision is ensured, and accidental sliding is prevented; s2, a high-definition RGB camera and a depth sensor are used, real-time posture joint point data of the patient are obtained based on a human body posture estimation algorithm, and the real-time posture joint point data comprise the head position, the limb position and the trunk position; s3, resolving the captured data in real time, and referring to a posture database to generate a most suitable initial rehabilitation posture; s4, collecting visual, voice and physiological signals by using a camera, a microphone and other sensors, and performing feature extraction and fusion by using a convolutional neural network to improve the recognition accuracy; s5, judging the satisfaction degree of the patient to the current posture through an emotion recognition technology in combination with voice emotion analysis, and adjusting the system according to the satisfaction degree of the patient; the motion parameters of rehabilitation training of the patient are obtained quickly, the effectiveness and rehabilitation efficiency of rehabilitation training are improved, and the participation degree and enthusiasm of the patient are increased.

The present invention discloses an artificial intelligence-based (or AI-based) system and method for providing personalized treatment plans to individuals suffering from mental health disorders. By leveraging EEG measurements, patient data, and AI algorithms, this system addresses the unique needs of each patient and enhances the overall quality of mental health care. The AI-based personalized treatment system has the potential to revolutionize mental health care. By amalgamating EEG measurements and an extensive range of patient-specific factors, it enables a tailored, dynamic approach to mental health treatment that takes into account the complete patient profile. The integration of this system into existing electronic health record (EHR) systems or patient monitoring platforms creates a patient-centered experience that enhances treatment outcomes, patient satisfaction, and reduces the strain on healthcare professionals.

The invention relates to the technical field of medical decision assistance, and particularly discloses a doctor-patient co-decision multi-issue negotiation method and system and a readable storage medium, and the method comprises the following steps: firstly collecting preference information and behavior characteristics of a doctor and a patient for a plurality of negotiation issues; constructing a fuzzy constraint and satisfaction function based on preference information and behavior characteristics; constructing a proxy behavior model based on the fuzzy constraint and the satisfaction function, and forming a distributed negotiation problem; and dynamically optimizing the negotiation strategy through a value function by adopting an ADP (adaptive dynamic programming) algorithm until the negotiation is consistent to generate a common negotiation result or the negotiation fails and terminates the negotiation, and sending a recommendation scheme to the doctor agent and the patient agent. According to the doctor-patient co-decision multi-issue negotiation method and system and the readable storage medium, the negotiation success rate and efficiency are improved, the medical specialty and patient individuation requirements are balanced, the doctor-patient satisfaction is remarkably improved, and the doctor-patient co-decision multi-issue negotiation method and system are suitable for a multi-issue medical decision scene.

The invention provides a hospital bed dynamic allocation optimization method, system and device, and relates to the technical field of hospital bed data processing, and the method mainly comprises the steps: collecting historical multi-source data; defining a constraint condition and a target function of bed deployment; constructing a global optimization model; constructing a current bed state matrix based on the current bed allocation scheme; based on the demand of the current patient, constructing a patient bed arrangement demand vector; collecting current hospital historical data; initializing the priority of the global optimization model; randomly distributing current idle beds, generating an initialized bed allocation scheme, inputting the initialized bed allocation scheme into the global optimization model, and obtaining a global optimal solution; constructing and training a deep reinforcement learning model; and collecting current multi-source data in real time, inputting the current multi-source data into the deep reinforcement learning model, and iteratively predicting a bed allocation scheme and transmitting the predicted bed allocation scheme out until an iteration termination condition is met. According to the scheme, the bed utilization rate and patient satisfaction can be effectively improved.

The invention discloses a hospital nursing quality evaluation system based on hospital information terminal data, and relates to the technical field of medical information, and the system comprises a data acquisition module which extracts index data based on a hospital terminal, and the index data comprises patient satisfaction subjective index data, nursing personnel working life data, performance data and adverse event occurrence probability; after preprocessing the data, constructing a data set; and the analysis module performs correlation analysis on the data of the data set based on the Pearson's correlation coefficient, constructs a nursing quality evaluation model through a neural network, and performs training optimization on the quality evaluation model. The comprehensive evaluation level is efficiently and objectively output through the evaluation module, the result is presented through a visual chart, managers can conveniently master the comprehensive evaluation level, hospitals accurately position nursing service short boards according to the evaluation result, targeted optimization is implemented, the nursing system is continuously improved, the requirements of patients are met, and it is ensured that the nursing quality is kept at a high level; and data in a hospital can be fully utilized.

The invention discloses an intelligent feedback type encephalopathy rehabilitation guidance training system which collects physiological data of a patient in real time through a wearable device or a brain-computer interface, carries out accurate evaluation and generates a personalized training plan in combination with individual differences and rehabilitation progress of the patient. In the training process, the system provides immediate feedback and guidance, and correctness and effectiveness of training are ensured. Meanwhile, the system also integrates comprehensive rehabilitation guidance functions, including cognition, language and motion function recovery, psychological support, life skill training and the like; through the cloud data processing center, medical personnel can remotely monitor the rehabilitation condition of a patient and adjust a training plan in time. The system not only improves the pertinence and effectiveness of rehabilitation training, but also enhances the rehabilitation confidence and participation degree of the patient. In a word, the intelligent feedback type encephalopathy rehabilitation guidance training system provides all-around and personalized rehabilitation services for encephalopathy patients, and the rehabilitation effect and the satisfaction degree of the patients are remarkably improved.

The invention discloses an internet-based physical hospital comprehensive information management system, which relates to the technical field of hospital information management and comprises a data acquisition module, a data processing module, a calculation module and an analysis module. According to the method, factors such as resource types, use frequency and maintenance cost are comprehensively considered, a visual resource utilization situation overview is provided for hospitals, resource allocation can be optimized to a certain extent, resource waste is reduced, the resource use efficiency is improved, and the method combines multiple dimensions such as medical service quality and patient satisfaction, so that the medical service quality and the patient satisfaction are improved. The medical service efficiency is comprehensively evaluated to provide an improvement direction for hospitals, the system comprehensively evaluates the information management efficiency from multiple aspects of information management cost, information processing capability, information security and the like, and the hospitals can clearly see the actual effect of an information management strategy through quantitative analysis, so that the strategy is adjusted, the cost is reduced, and the medical service efficiency is improved. And the information management efficiency is improved.

The invention provides an intelligent triage method and system based on comparative learning and a cross attention mechanism, and relates to the technical field of medical information processing. According to the system, through a sign-in module, a queue module, a data acquisition module, a data preprocessing module, a multi-modal feature extraction module, a contrast learning module, a cross attention mechanism module and a triage decision-making module, precise classification and intelligent triage of patient conditions are realized, light-symptom patients, light-severe patients and severe patients can be effectively distinguished, triage and shunting of the patients are realized, and the accuracy of the triage of the patients is improved. Therefore, unnecessary waiting time of mild patients is reduced, necessary treatment time of critical patients is prolonged, medical resources are reasonably distributed, and hospital service efficiency and patient satisfaction are improved. Meanwhile, doctors can be assisted in disease diagnosis, and the accuracy and efficiency of diagnosis are improved.

The invention provides a hospital health education intelligent question and answer method based on a large language model and a knowledge base, and belongs to the technical field of intelligent question and answer, and the method comprises the steps: collecting hospital health education related document data for preprocessing, and converting a text block into a vector form through a vector embedding model, storing in an AI native database in combination with metadata, and constructing an index to form a hospital health education knowledge base; receiving health consultation questions input by a user, performing semantic analysis and keyword extraction, and retrieving related knowledge fragments from a hospital health education knowledge base; carrying out fusion reordering on the retrieved knowledge fragments, calculating correlation scores, and selecting the first K knowledge fragments with the highest scores; and substituting the selected knowledge fragments and the user question into a preset cue word engineering template, generating a cue word input large language model, generating an answer for the user question, and feeding back the answer to the user. The acceptability and practicability of the patient on health knowledge are enhanced, and the efficiency of hospital health education and the satisfaction degree of the patient are improved.

The invention provides a method for intelligent medicine warehouse-in and warehouse-out management based on big data of medicine use of a patient, and the method comprises the steps: constructing an intelligent prediction model used for outputting a medicine replenishment period and a safety stock dynamic threshold value based on the big data of the medicine use of the patient, and deploying the intelligent prediction model on a medicine stock cloud server; monitoring medication time sequence characteristics of corresponding types of stored medicines in real time through the medicine inventory cloud server, inputting the medication time sequence characteristics into the intelligent prediction model, identifying the medication time sequence characteristics through the intelligent prediction model, and predicting replenishment suggestions of the corresponding types of medicines; and according to the replenishment suggestion, generating a warehouse-in and warehouse-out strategy of the corresponding type of medicine, and issuing the warehouse-in and warehouse-out strategy of the corresponding type of medicine to a terminal APP of a warehouse manager. According to the invention, inventory prediction can be carried out based on the medication time sequence characteristics of each medicine, intelligent supervision and dynamic replenishment of the whole life cycle of the medicine are realized in combination with a dynamic inventory optimization algorithm, and the turnover efficiency of hospital medicines and patient satisfaction are improved.

The present disclosure relates to a call light monitoring system designed to enhance response efficiency and patient care management in healthcare facilities. This system includes unobtrusive monitoring capabilities that detect the activation of call lights without interfering with existing facility infrastructure. The system features a real-time display that provides immediate visual feedback on the duration of active call lights, enabling staff to prioritize responses based on urgency and elapsed time. Additionally, the system includes a comprehensive reporting module that records and analyzes the history of call light durations. This historical data can be used for performance evaluations, optimizing staff allocations, and identifying patterns that may indicate areas needing process improvement. The integration of these features into a single system provides a robust tool for improving patient satisfaction and operational efficiency in healthcare settings.

The invention relates to the field of medical care informatics, in particular to a doctor-patient collaborative management system and method based on a perioperative period. Comprising the steps of collecting and preprocessing all necessary information of a patient, and performing structured processing on preprocessed medical data to obtain structured medical data; based on the login request of the doctor and the patient, verifying the access authority of the doctor and the patient to obtain a verified login request; based on the verified login request, calling structured medical data; performing real-time analysis and predictive analysis based on the structured medical data to obtain a risk assessment report; based on the risk assessment report, different treatment schemes are assessed and sorted, and doctors are helped to formulate the treatment schemes; and generating a comprehensive report in combination with the treatment scheme, the operation result and the patient satisfaction survey result. The technical problems that when doctor-patient collaborative management in the perioperative period is achieved, medical data cannot be accurately processed, patient health risks cannot be accurately predicted, and management individuation is insufficient are solved.

The invention discloses an accurate value incentive accounting method for a DIP disease category subdivision value portrait under DRG, and belongs to the technical field of medical payment and hospital management, and the method comprises the following steps: 1) a data fusion model: integrating DRG grouped data, a DIP score, a clinical path execution rate, cost accounting and patient satisfaction data, and constructing economic, clinical and social three-dimensional value portraits; 2) dynamic grouping optimization: introducing a machine learning algorithm, and dynamically subdividing DIP disease species into subgroups according to complication severity, treatment mode difference and resource consumption dispersion; after disease category subdivision, the matching degree of the DIP score and the actual cost is improved by 20%-30%, the medical insurance payment refusal risk is reduced, payment accuracy improvement is achieved, through strategic disease category support, the CMI value is averagely improved by 0.15, the difficult case recovery rate is increased by 12%, medical quality optimization is achieved, and through linkage excitation of the balance contribution rate and the patient satisfaction degree, the medical quality is improved. The medicine consumption ratio is reduced by 5-8%, the hospitalization day is shortened by 1.2 days, and the operation efficiency is improved.

The invention relates to the technical field of medical management, and discloses a medical specialist ability index evaluation method, which is characterized by comprising the following steps: data acquisition: collecting multi-dimensional information; constructing an index system, and establishing a multi-dimensional evaluation system; weight distribution: determining a weight coefficient by adopting a scientific method; and calculating a specialist ability index through comprehensive scoring model calculation. The system is characterized in that data acquisition is completed through a hospital system and a database; the basic capability indexes comprise equipment configuration and the like; clinical ability indexes comprise diagnosis and treatment quantity and the like; the scientific research capability indexes comprise scientific research projects and the like; the service capability indexes comprise patient satisfaction and the like; the specialized ability index has a specific calculation formula. The method has the advantages that comprehensive, scientific and dynamic assessment of the clinical specialized ability of the medical institution is realized through the specialized ability assessment method based on multi-dimensional data acquisition, objective weight distribution and a quantitative scoring model.

The invention discloses a keloid postoperative intelligent monitoring system, which relates to the technical field of medical monitoring and comprises a database, a patient information input module, an image management module, an operation processing standard making module, a postoperative management evaluation module, a re-diagnosis reminding module and a communication module. The patient information input module is used for inputting patient information and generating a unique patient ID after inputting; the image management module comprises an image acquisition unit, an image processing unit and an image marking unit; the operation processing standard making module is used for generating personalized operation processing standard suggestions for doctors; the postoperative management evaluation module generates a postoperative management report; the re-visit reminding module generates a re-visit plan; the communication module is used for communicating with a patient or a contact person; the technical effects that postoperative management evaluation is carried out no longer depending on subjective judgment of doctors, a unified evaluation standard is formed, and therefore the postoperative management effect and the patient satisfaction degree are improved are achieved.

The invention relates to the field of dental restoration, in particular to a tooth colorimetric method, system and device, and the tooth colorimetric method comprises the following steps: step 1, determining a plurality of predetermined materials, and presetting an adjustment value delta L corresponding to each predetermined material; step 2, obtaining reflection spectrum data S1 (lambda) of the surface to be measured, and obtaining an initial lightness value L1 according to the reflection spectrum data S1 (lambda); step 3, preprocessing the reflection spectrum data S1 (lambda); step 4, comparing the preprocessed reflection spectrum data S1 (lambda) with standard spectrum data S2 (lambda) corresponding to each predetermined material, and outputting a comparison result; 5, determining the material type of the surface to be detected according to the comparison result; and step 6, determining a corresponding adjustment value delta L according to the determined material type of the surface to be measured, and calibrating the initial lightness value L1 through the adjustment value delta L to obtain an actual lightness value L2. According to the invention, the aesthetic property of tooth restoration and patient satisfaction are guaranteed.

This invention belongs to the field of medical wristband technology, specifically disclosing a translation method for bidirectional communication between medical staff and patients based on multimodal interaction, including the following steps: Step S1, the multimodal interaction unit receives multimodal input signals; Step S2, the multimodal interaction unit fuses the multimodal input signals to generate comprehensive input information; Step S3, the comprehensive input information is identified and translated based on a medical-specific translation engine; Step S4, the context-aware module analyzes the dialogue content, identifies the scenario, and dynamically adjusts the translation results; Step S5, the adjusted translation results are synchronously output bidirectionally and broadcast via voice. This invention achieves three core breakthroughs in clinical cross-language communication through a translation mechanism combining multimodal signal fusion and context awareness: enabling real-time, accurate, and private barrier-free communication between doctors and patients, reducing the risk of medical errors due to language barriers, improving consultation efficiency and patient satisfaction, and reducing the risk of misdiagnosis.

An improved atomizing core and a medical vaporizer manufactured based on the atomizing core are characterized in that the atomizing core comprises a base and a conical column integrally connected with the base, the peripheral edge of the bottom of the base extends downwards to form a convex edge, and a plurality of capillary tube openings are annularly formed in the convex edge; the surrounding cylinder is matched with the inner wall of the atomization tank, namely, the surrounding cylinder is attached to the inner wall of the atomization tank, the bottom of the surrounding cylinder is fixedly connected with the base, and a plurality of aerial fog holes are formed in the side wall of the surrounding cylinder in a penetrating mode. The atomizing core and the medical atomizer are ideal in structural design, the design that a plurality of capillary tube openings are combined with a plurality of aerial fog holes is adopted, the atomizing effect is ideal, the capacity of changing liquid medicine into tiny fog drops in unit time is enhanced, and the atomizing efficiency is high; the use scene of the atomizer is improved, atomization treatment can be carried out on different body positions, and the atomization treatment effect is also improved; the drug administration accuracy is improved, and the patient satisfaction degree is improved; and the working efficiency of medical staff is also improved.

The invention discloses a vibratory massage intelligent control eye care device, and belongs to the technical field of medical care equipment. The problems that an existing eye massager is single in function and cannot meet various scene requirements are solved, real-time monitored intraocular pressure, temperature and myoelectricity activity data are compared with threshold values to calculate error values, massage parameters are dynamically adjusted through a PID algorithm, it is ensured that the vibration frequency and intensity are always within a safe and effective range, and the effect of improving the quality of the eye massager is achieved. Therefore, the individuation and adaptability of the eye massage instrument are improved, and a patient is ensured to obtain comfortable and effective massage experience. By analyzing and calculating intraocular pressure, temperature and myoelectricity activity data and vibration frequency and intensity parameters of a patient, it is ensured that each treatment is adjusted based on the previous treatment effect, and therefore fine management and personalized adjustment of the eye nursing process of the patient are achieved; and the satisfaction degree of the patient and the pertinence and effectiveness of massage treatment are improved.

The utility model relates to an arc-shaped knife handle for an endoscopic breast surgery. The arc-shaped knife handle is suitable for being combined with a scalpel to form an arc-shaped flap free knife for the single-hole endoscopic breast surgery. Distance scales are arranged on the side walls of the arc-shaped handle and the blade holder main body; the arc-shaped handle is provided with a lengthened handle so as to extend the operation range; the arc-shaped handle is beneficial for being tightly attached to the curve of the breast and the thorax and conveniently complies with and crosses the natural radian of the breast and the thorax, precise dissociation of the skin flap blocked by the nipple and areola complex during skin flap separation in the operation is achieved, the amount of bleeding in the operation is reduced, and the operation efficiency is improved. Damage to a nipple and areola complex and a breast duct behind the nipple and areola complex in the operation process is remarkably reduced, and the risk of skin flap necrosis is reduced; distance scales are convenient for measuring the radial width of the breast base along the thoracic radian in an operation, and accurate operation positioning and prosthesis selection reference is provided for doctors; therefore, the operation area can be accurately and efficiently determined in the endoscopic operation, and the success rate of the operation and the satisfaction degree of a patient are improved.

The invention discloses a hospital electronic information data comprehensive treatment method and system based on big data, and relates to the technical field of data management, and the method comprises the steps: dividing hospital electronic information data into real-time update data and historical data; determining at least one data updating calling terminal for updating data in real time; determining a data main governance terminal; obtaining an access request of the real-time updated data, and performing execution based on the access request of the real-time updated data; for historical data, storage nodes are allocated to the historical data based on attributes of the historical data. The system has the advantages that by optimizing the treatment structure of the hospital electronic information data, the data access efficiency, the medical service quality and the data security are remarkably improved, meanwhile, hospital management and decision making are supported, the system operation and maintenance cost is reduced, and finally the patient satisfaction degree and the overall hospital operation efficiency are improved.

This invention discloses a knowledge-based intelligent interpretation system and method for laboratory reports, comprising four sequentially linked modules: a data input module for receiving laboratory data transmitted from the LIS system, the data including patient laboratory indicators and basic patient information, supporting data anonymization, and the basic patient information including at least age, gender, pregnancy status, medical history, and family medical history. This invention effectively reduces patient consultations, allowing patients to understand their reports immediately, reducing anxiety, significantly improving patient satisfaction, avoiding inconsistent interpretations among doctors, enhancing the ability of general practitioners in community hospitals to interpret laboratory reports, and reducing unnecessary duplicate examinations through accurate interpretation.

The utility model discloses a hydrodynamic debridement handle which comprises a handle body, a debridement tool bit is arranged at the front end of the handle body, the debridement tool bit is connected with an external hydrodynamic debridement system through a high-pressure water pipe and a waste discharge pipe, an annular groove is formed in the outer surface of the handle body, and a film pressure sensor is arranged in the annular groove. An elastic rubber sleeve sleeves the annular groove, when the handle body is held by a hand, the thin film pressure sensor is correspondingly matched with the thumb of the hand, the thin film pressure sensor is electrically connected with an external hydrodynamic debridement system, and the external hydrodynamic debridement system controls the water flow injection pressure of the debridement tool bit according to a feedback signal of the thin film pressure sensor; the water flow injection pressure of the debridement tool bit is adjusted in a hand pressing mode, so that the water flow injection pressure changes along with the change of hand debridement actions of a doctor, the doctor can conduct refined debridement on a wound surface, excessive debridement is avoided, the debridement accuracy and safety are improved, and the satisfaction degree and compliance of a patient are improved.

The utility model discloses an operation distance measuring device, and relates to the field of medical instruments, a first shell, an outer protective tube and a second shell are connected in sequence, a transmission mechanism is installed in the first shell, a roller is located outside the first shell and is connected with the transmission mechanism, and a strip-shaped guide hole is formed in one side, close to the outer protective tube, of the second shell; a control display mechanism is installed on the side, away from the outer protective pipe, of the second shell, the connecting block is slidably installed in the strip-shaped guide hole, the displacement sensing component is installed in the second shell, the end, away from the outer protective pipe, of the connecting block is connected with the displacement sensing component, and the displacement sensing component is electrically connected with the control display mechanism. A threaded hole is formed in the end, close to the outer protective pipe, of the connecting block, one end of the transmission screw is installed in the threaded hole, and the other end of the transmission screw penetrates through the outer protective pipe, extends into the first shell and is connected with the transmission mechanism. The operation distance measuring device is easy and convenient to operate, the operation tends to be precise, and therefore the operation quality and the satisfaction degree of a patient are improved.

The invention relates to an outpatient medical service method and a medium, and the method comprises the steps: carrying out the clustering analysis based on the basic medical information of an outpatient, recognizing whether the outpatient needs help service or not, and judging the time for obtaining an inspection report; if the time is before the first preset time of the day and the diagnosis result reaches a preset first illness state severity threshold value, searching the old and rural medical personnel to perform first targeted consultation and help service; if the time is after the first preset time of the day and before the second preset time of the day and the disease condition severity prediction reaches a preset second disease condition severity threshold value, searching for the old and rural medical staff to perform second targeted consultation and help service, and if the time is after the second preset time of the day, performing second targeted consultation and help service; and if yes, searching the old and rural medical personnel for third targeted consultation and help service. The outpatient needing help service can obtain help service in time, and the medical service cost is reduced on the basis that the satisfaction degree of the patient is improved.

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 invention discloses a non-professional service personnel-oriented reproductive diagnosis and treatment patient portrait generation method and device, and a server side method comprises the steps: regularly obtaining and preprocessing original medical data of each reproductive diagnosis and treatment patient through a data interface provided by an HIS system / LIS system, and obtaining a desensitization structured data set of each reproductive diagnosis and treatment patient; according to the desensitization structured data set, constructing treatment stage parameters and emotion quantization parameters of each reproductive diagnosis and treatment patient; matching a plurality of target portrait tags belonging to the treatment stage parameters and the emotion quantization parameters from a preset portrait tag library; and filling the multiple target portrait labels into a preset natural language template to obtain a portrait description text of each reproductive diagnosis and treatment patient, and sending the portrait description text to a client of non-professional service personnel for display. Therefore, according to the embodiment of the invention, non-professional service personnel can quickly obtain the key information, the service efficiency is improved, the communication quality with the patient is improved, and the satisfaction degree of the patient is improved.

The utility model discloses an antibacterial wound dressing which can effectively inhibit the growth of bacteria on a wound surface and ensure the comprehensiveness and durability of the antibacterial effect. The antibacterial instillation lavage type negative pressure drainage wound protecting device can accelerate wound healing, reduce infection risks and bring better treatment experience and rehabilitation effect to patients. The antibacterial instillation and lavage type negative pressure drainage wound protecting device comprises a skin sealing pasting film, a medical foam sponge, an antibacterial amino acid group polymer foam sponge and a dressing pad which are sequentially arranged from top to bottom; a silica gel drainage catheter is arranged on the medical foam sponge; and a silica gel instillation lavage microtube is arranged between the antibacterial amino acid-based polymer foam sponge and the dressing pad. By adopting the antibacterial instillation lavage type negative pressure drainage wound protecting device, the infection risk can be reduced, and the treatment effect and the satisfaction degree of a patient can be improved.