25 results about "Patient waiting" patented technology

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

The invention discloses an emergency rescue room nursing resource dynamic scheduling method and system based on demand prediction, and relates to the technical field of resource dynamic scheduling. The method comprises the following steps: collecting and preprocessing historical emergency room data, and constructing a multi-dimensional feature data set; respectively training an improved GRU model and a Transform model for high-precision prediction of patient inflow and triage level distribution in a future time period, and quantifying a prediction result as standard nursing time; based on real-time nurse data, a multi-target optimization model with the purposes of minimizing patient waiting time, balancing nurse loads, controlling cost and meeting preferences is built, a Pareto optimal scheduling scheme set is solved and generated through a genetic algorithm, and a manager selects a final scheme according to the actual situation; according to the invention, the conversion from passive response to active accurate scheduling is realized, and the operation efficiency, the resource utilization rate and the nursing quality of the emergency rescue room are effectively improved.

This invention provides a nurse call system, a nurse call method, and a nurse call program that can reduce patient waiting times. [Solution] The nurse call system according to this disclosure includes: a display means that, when a nurse call button located in a patient's room is pressed, displays the name of the patient who pressed the nurse call button and the elapsed time on a nurse's terminal and a display terminal; and a notification means that, when the nurse call button located in the patient's room is pressed, first sounds a notification tone on a nurse's terminal held by the nurse in charge of the patient; if the receiver button on the nurse's terminal held by the nurse in charge is not pressed within a predetermined time, sounds a notification tone on a display terminal located in the nurse's station; and if the receiver button on the display terminal is not pressed within a predetermined time, sounds a notification tone on a nurse's terminal held by each nurse in the ward.

This application relates to the field of medical data information technology, specifically disclosing a method, system, and device for matching doctor resources based on vital sign data. The method mainly includes receiving patient data sent from a patient terminal, including the patient's vital sign data; inputting the patient data into a deep learning model to obtain patient assessment data, including a disease type probability distribution; acquiring doctor information from online doctors; matching the patient's disease type probability distribution with the doctor information to obtain the total matching degree for each online doctor; and selecting the doctors with the highest total matching degree as the initial matching result. This application, by uploading disease and vital sign data to the backend, enables automatic doctor matching and remote treatment intervention, facilitating remote communication and treatment between doctors and patients, improving the efficiency of medical resource utilization, shortening patient waiting time, and ensuring patients receive timely professional medical services.

The invention provides a hospital bed turnover method and system based on hospital data, a medium and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring sickbed occupation information of a plurality of departments; based on the sickbed occupancy information, predicting a first sickbed occupancy rate of a plurality of departments after a target duration; under the condition that the occupancy rate of the first sickbed is smaller than an occupancy rate threshold value, sickbed tension and patient waiting cost of the multiple departments are determined; and generating a sickbed optimization scheme based on the sickbed tensity of the plurality of departments and the patient waiting cost, and transferring the sickbeds of the plurality of departments according to the sickbed optimization scheme.

The application discloses a kind of information management method and related equipment for thyroid cancer postoperative iodine 131 treatment patient.It comprises: based on the treatment management data of patient, scheduling model is constructed with patient waiting time, medical interaction cost and isolation bed vacancy time as optimization target, and bed capacity constraint, clinical urgency constraint, radiation protection constraint and medical availability constraint are established;Based on the scheduling model and the constraint condition, the joint optimization of patient reservation admission batch, isolation bed allocation and medical communication task is carried out, and the treatment scheduling result is generated;In the case where patient temporary adjustment, bed state change or iodine 131 treatment preparation abnormality is monitored, the treatment scheduling result is dynamically rearranged, so as to execute patient reminder, treatment connection and follow-up management according to the treatment scheduling result after rearrangement.It can solve the problems of low efficiency of reservation and resource coordination, fragmented medical records and lack of dynamic tracking mechanism in traditional information management mode.

This invention provides an intelligent examination scheduling method based on time consumption prediction and dynamic optimization, belonging to the technical field of medical service management. The method includes: removing extreme data using a quantile filtering strategy and preprocessing equipment and examination time information; obtaining reasonable time consumption through random forest regression model training combined with departmental percentile truncation; integrating examination time with equipment resource status, calculating queuing time based on total time / number of equipment, and accumulating time for patients with multiple examinations; traversing operating time at 1-minute granularity, processing patient check-in and departmental queues in real time; generating a full permutation of examination items and filtering by walking time, selecting the optimal order with the earliest completion time; and finally outputting standardized scheduling results. This invention significantly reduces patient waiting time, improves hospital equipment utilization, has a significant optimization effect on high-frequency departments, and the scheduling results closely match actual hospital operations, enabling data-driven management decisions.

The application discloses a kind of medical skill examination intelligent reservation and resource scheduling system based on rule engine, it is related to medical information technology field, including data acquisition module, rule engine module, intelligent reservation module, the dynamic analysis and matching of medical business rules are realized by introducing rule engine module, and resource scheduling strategy and reservation priority sequence are generated;Intelligent reservation module provides personalized recommendation using reservation priority sequence and rehearses detection conflict, realizes zero conflict reservation;Resource scheduling module optimizes equipment, clinic and personnel configuration according to strategy in real time, improves resource utilization;Process control module carries out closed loop tracking and synchronization to reservation and scheduling result.Each module cooperates and operates, it is jointly relieved that traditional medical skill examination is uneven, reservation process rigid, multiple system coordination difficult and the problem that rule adaptation is not flexible, finally reach shorten patient waiting time, reduce hospital operation cost, improve the effect of overall efficiency and intelligent level of medical service.

The application discloses an automatic driving navigation wheelchair in a hospital, relates to the technical field of navigation wheelchairs, and has beneficial effects such as personalized navigation service, improved efficiency, improved patient waiting experience, enhanced wheelchair use convenience, optimized resource allocation, and improved hospital service level, and helps improve the overall technical level and modern image of the hospital, is very beneficial to improving the competitiveness and attracting patients of the hospital, provides more convenient and comfortable medical treatment experience for patients, improves the hospital operation efficiency and service quality, the personalized service can consider the needs and preferences of different patients, select the most suitable path, and thus improve the satisfaction and comfort of the patients, the types of each medical treatment path are displayed on the wheelchair display screen, the patients can independently select the path suitable for themselves, increase the participation and satisfaction of the patients, and improve the medical treatment experience.

The utility model discloses a self-service printing and binding all-in-one machine for medical records, and relates to the technical field of medical auxiliary equipment, a binding machine is installed on one side of the upper end face of a self-service printing and binding all-in-one machine body, and a paper taking cavity is formed in the front side of the upper end face of the self-service printing and binding all-in-one machine body; and a paper outlet protection cover is arranged above the paper taking cavity. The problems that in the process that existing manual operation printing equipment completes medical record printing, manpower is consumed, errors are prone to occurring, efficiency is low, especially in the peak period, patient waiting time is long, experience is poor, manual service consumes a large number of manpower resources, operation errors are prone to occurring due to human factors, and medical record printing errors or omission are caused are solved. And the user operation is simple, convenient and fast.

The application discloses a kind of adaptive decision methods for outpatient appointment scheduling, it is related to intelligent medical technology field, including: obtaining the expected appointment time of patient and basic information, constructs patient medical image, predicts patient estimated visit length by the patient medical image;Based on encoder-decoder recurrent neural network, build sequencing decision model, import patient estimated visit length in combination with patient's expected appointment time, define patient's sequencing information in outpatient appointment scheduling;Patient waiting total time, doctor idle time and doctor overtime are introduced according to sequencing information to calculate total time cost for evaluation, when the evaluation result meets the preset standard, then recommend patient appointment visit period.The application generates scheduling data in line with patient satisfaction by adapting to patient visit time heterogeneity through data-driven method, reduces cost while improving outpatient operation efficiency.

This invention discloses a smart integrated hospital service platform, belonging to the field of digital integrated management platform technology. It includes a data interaction layer, an intelligent decision-making layer, a service execution layer, and an external expansion layer. By integrating patient treatment information with multi-dimensional hospital operation data, this invention achieves intelligent collaboration throughout the entire process. Relying on the multi-dimensional analysis mechanism of the intelligent decision-making layer, it accurately estimates waiting time, dynamically plans routes, and recommends personalized resources. Combined with waiting reminders, spatial navigation, and one-stop service processing functions in the service execution layer, it reduces unnecessary gatherings and travel within the hospital. Simultaneously, through personalized services such as barrier-free navigation and transparent drug information, it meets the needs of different patients. The external expansion layer connects to surrounding office, leisure, and parking facilities, linking with in-hospital medical services to form a collaborative system, effectively utilizing patient waiting time and enriching service dimensions.

The invention relates to a user behavior-based medical service resource optimal configuration method, which comprises the following steps of: acquiring historical doctor seeing data and real-time doctor seeing data of a patient, predicting future traffic through a linear regression model, and acquiring a traffic predicted value; acquiring a peak time period identifier from the flow predicted value, optimizing a doctor scheduling scheme and a medical equipment use scheme by adopting a genetic algorithm, and adjusting a doctor personnel allocation proportion and a medical equipment allocation proportion to obtain an optimized scheduling table; and based on the optimized scheduling table, monitoring the actual flow of the patient in real time, and if the actual flow deviates from the predicted value, correcting the scheduling adjustment scheme. The hospital resource utilization rate is remarkably improved, the waiting time of the patient is shortened, and dynamic and accurate medical resource management is achieved.

The application provides a deep learning-based breath test triage and queuing optimization method and system, relating to the technical field of medical management, comprising collecting multi-dimensional physiological data, performing time-frequency domain decomposition to extract features, generating a health index using a hybrid expert model, constructing a multi-objective optimization function by combining time cost, diagnosis and treatment matching degree, and resource utilization rate, and generating an optimal allocation scheme through adaptive search. This method can improve triage accuracy, shorten patient waiting time, optimize medical resource allocation, and improve treatment efficiency and satisfaction.

This application relates to the field of rehabilitation training equipment scheduling technology, specifically to a method, system, device, and medium for cluster scheduling of rehabilitation training equipment. The method includes: acquiring rehabilitation task information and spatial location information of patients in the rehabilitation training area, and the status and spatial location information of each rehabilitation training device; based on the above information, generating a personalized scheduling scheme for each patient by performing multi-objective optimization calculations aimed at minimizing total rehabilitation training time, maximizing equipment utilization, minimizing patient waiting time, and minimizing energy consumption; generating and executing a sequence of control commands according to the personalized scheduling scheme, predicting and resolving potential conflicts in real time during execution, and dynamically adjusting task command parameters based on the patient's real-time motion and physiological data. This application can achieve collaborative scheduling and adaptive control of multiple patients and multiple devices, significantly improving the overall efficiency, safety, and personalization level of rehabilitation training.

This invention relates to the field of medical information technology and discloses a method and system for intelligent hospital patient services based on multimodal location awareness. The method includes: determining the current location information of a target patient based on multimodal application information based on the hospital scenario and the target patient's device configuration information; determining whether the target patient meets the automatic queuing inclusion conditions based on the current location information; and if so, performing the corresponding automatic queuing system inclusion operation on the target patient. Therefore, this invention can automatically include hospital patients into the on-site queuing system, improving the accuracy, reliability, efficiency, convenience, and timeliness of automatic queuing inclusion, reducing patient waiting time, thereby improving medical service efficiency and patient experience. Furthermore, it reduces system construction and maintenance costs, improves the accuracy and reliability of location awareness, and enhances the accuracy and reliability of determining the current location of hospital patients.

This utility model discloses a multifunctional ultrasonic coupling agent heater, belonging to the technical field of coupling agent heaters. The multifunctional ultrasonic coupling agent heater includes a feeding assembly. Its key technical feature is that heat is transferred from an electric wire to a metal heat-conducting block, which in turn transfers heat to a metal heating block, which then transfers heat to a rotating heat-conducting ring. This ensures that heat is concentrated on the target area, making the coupling agent heated more efficiently and evenly. For areas where heating is slow in the middle, compared to direct heating in a large space, this conductive heating reduces thermal inertia, rapidly increases the coupling agent temperature, and allows it to reach a suitable state for use more quickly, shortening patient waiting time and improving the overall efficiency of the ultrasound examination process. By using a pair of electric wire heating electronic components for layered heating, the coupling agent in the storage tank is heated in layers, utilizing the principle of thermal convection to accelerate the diffusion of heat throughout the storage tank.

A method wear patients visiting a medical facility looking for treatment goes through an intake procedure checking vital patient functions, and then is issued a patient monitoring device that send messages to a processor that monitors each patient and alerts staff when vital patient functions change in an alarming way so the patient can go through the intake procedure again to determine if they need more expedited treatment.

The invention relates to a sickbed management method and system. The method comprises the following steps: acquiring and preprocessing multi-modal patient data and structured bed data; determining a patient type based on the multi-modal patient data, performing feature fusion on the multi-modal patient data, and determining a patient priority in combination with the patient type; based on the patient priority and the structured bed data, a genetic algorithm is adopted to manage and distribute sickbed positions, and a fitness function of the genetic algorithm is set as a weighted sum of a patient waiting time coefficient, a distribution coefficient determined based on the patient priority and a bed matching degree. Compared with the prior art, the method has the advantages of accurate bed allocation, high management efficiency and the like.

The utility model provides a lifting device for neurology examination, which belongs to the technical field of rehabilitation engineering and assistance and comprises a fixing frame, a servo motor adaptively mounted at the top of the fixing frame, a connecting column fixedly mounted at the output end of the servo motor through a coupler, and a one-way threaded rod fixedly connected to the penetrating end of the connecting column. The first internal thread block is in threaded connection with the outer surface of the one-way threaded rod; and the limiting mechanism comprises a fixed box fixedly connected to the outer surface of the first internal thread block. Through cooperation of all parts in the limiting mechanism, the limiting plate can be driven to automatically clamp and fix the arms of a patient through the force of pressing the supporting plate downwards by the arms of the patient, and the position of the limiting plate is automatically locked through the positioning assembly, so that when multiple patients are switched, the operation steps and time are greatly reduced, and the operation efficiency is improved. The waiting time of a patient is shortened, and meanwhile the overall diagnosis and treatment efficiency is improved.

This application provides a service bus-based resource scheduling method for internet hospitals, relating to the field of medical information processing technology. The method includes: collecting doctor session data and analyzing disease complexity and waiting intervals to identify high-risk abandonment sessions with non-linearly increasing waiting times; dynamically adjusting the upper limit of concurrent doctor sessions, pausing allocation for simple diseases and prioritizing complex disease sessions, and locking resources until a substantial response is completed; resuming allocation and continuously updating the upper limit when the waiting interval decreases. The beneficial effects of this application are: through non-linear growth trend identification and response slot locking mechanisms, it accurately intervenes in high-risk abandonment sessions, avoiding the contradiction between doctor overload and long patient waiting times in the traditional static allocation model, achieving a dynamic balance between doctor load and patient experience, and significantly improving the resource scheduling efficiency and service quality of online consultations.

The utility model discloses a carry-on bag for outdoor examination of a patient, which is characterized in that a label groove and an infusion tube fixing frame are fixedly arranged on the surface of a backpack main body, and a lifting rod mounting seat is fixedly mounted on one side of the backpack main body; the lifting rod is fixedly mounted above the lifting rod mounting seat, a mounting rod is telescopically mounted at the top end of the lifting rod, the surface of the mounting rod is slidably sleeved with a buckle plate, a rotating rod containing groove is formed in the surface of the mounting rod, a hook containing groove is formed in the rotating rod containing groove, and a sliding hole and a buckle groove are formed in the surface of the buckle plate; the rotating rod is arranged in the rotating rod containing groove, and one end of the rotating rod is fixedly connected with a hook. By arranging the lifting rod and the rotating rod, when a hospital does not have an infusion position, a patient can pull out the lifting rod and turn the rotating rod out of the rotating rod containing groove, so that an infusion bottle can be hung on the surface of the rotating rod for infusion, and the problem that time is wasted when the patient waits for infusion is solved.

This invention relates to a patient scheduling system for a hospital emergency room. An initial assessment scheduling module classifies admitted patients by urgency level. When medical resources are strained, it compares historical emergency records and simulates pre-treatment interventions based on similar cases. Simultaneously, it constructs a waiting queue containing patients at different treatment stages and predicts the impact of adding a patient to the waiting queue on the patient themselves and other patients in the queue. A secondary assessment scheduling module, after the patient receives formal intervention, schedules nurses to perform corresponding examinations and constructs a secondary examination result vector. A comprehensive assessment module combines the urgency level and the secondary examination result vector, using a pre-trained model to obtain the final patient classification, providing a basis for subsequent treatment scheduling. This invention, through pre-intervention and predictive dynamic ranking, effectively utilizes fragmented doctor time, optimizes emergency room resource scheduling, significantly shortens patient waiting time, and improves emergency efficiency and treatment success rate.

The application discloses an emergency rescue room nursing resource dynamic scheduling method and system based on demand prediction, and relates to the technical field of resource dynamic scheduling; the application collects and pre-processes historical emergency rescue room data to construct a multi-dimensional feature data set; an improved GRU model and a Transformer model are trained respectively to predict the patient inflow and triage level distribution in the future period with high precision, and the prediction results are quantified as standard nursing working hours; based on real-time nurse data, a multi-objective optimization model is constructed to minimize patient waiting time, balance nurse load, control cost and meet preferences; a set of Pareto optimal scheduling scheme set is generated by using a genetic algorithm to solve, and the final scheme is selected by the manager according to the actual situation; the application realizes the transformation from passive response to active and accurate scheduling, and effectively improves the operation efficiency, resource utilization and nursing quality of the emergency rescue room.

The medicine dispensing box based on the connecting rod structure comprises a shell, a set of storage bins are fixedly connected to the inner top wall of the shell, medicine is arranged in the storage bins, a pair of limiting plates are fixedly connected to the inner side wall of the shell, side baffles are fixedly connected to the lower ends of the limiting plates, a discharging opening is formed in the surface of the shell, and the limiting plates are fixedly connected to the side baffles. According to the medicine distribution box, automatic medicine distribution is achieved through a connecting rod structure, the medicine distribution box has the advantages of being high in transmission efficiency and compact in structure, manual operation can be reduced, the distribution speed can be increased, meanwhile, manual errors are reduced through the intelligent design, the waiting time of patients is shortened, and the working efficiency is improved. The medicine taking process is simplified, the medicine distribution amount can be accurately controlled, it is ensured that each patient obtains a correct number of medicines, automatic distribution is achieved, and through the design of a connecting rod structure, quick and accurate distribution of the medicines is achieved. The connecting rod structure has the characteristics of high transmission efficiency, compact structure and the like.