76 results about "Patient flow" patented technology

The invention relates to the technical field of medical intelligent scheduling, in particular to a patient flow data visualization adjusting system and method, and the system comprises a global dynamic sensing unit, a medical intelligent evolution center, a space-time mirror image twinning module, a multi-dimensional decision optimization matrix, and a risk closed-loop management and control unit. The global dynamic sensing unit gathers data to construct a diagnosis and treatment panorama; the medical intelligent evolution center is used for building a medical process evolution system to form a three-dimensional cognitive architecture; the space-time mirror image twinning module is used for constructing physical virtual space mapping, and forming a diagnosis and treatment resource space-time distribution path based on Internet of Things position data and a digital twinning technology; the multi-dimensional decision optimization matrix extracts patient flow data according to the space-time simulation path and a multi-target model, and generates a resource scheduling scheme; and the risk closed-loop management and control unit is used for evaluating the risk, marking congestion early warning and dynamically optimizing a regulation and control strategy and a threshold value. Therefore, the problems of data isolation, poor resource configuration efficiency, insufficient real-time performance and the like in the prior art are solved.

The invention discloses an AI-based medical and health care integrated data management method and system and a storage medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the data preprocessing and data standardization of collected multi-source medical and health care data, and obtaining a standardized medical data set; performing classification and semantic annotation on the data of the standardized medical data set by using a preset medical ontology, and constructing a structured medical knowledge graph; performing virtual mapping based on the structured medical knowledge graph by adopting a digital twinborn model to form a virtual medical twinborn body; based on the virtual medical twins, combining real-time monitoring data and historical patient flow data, through multi-dimensional feature extraction and pension mode recognition, dynamically optimizing and presetting a personalized medical scheme and a resource scheduling strategy, and outputting a medical care service optimization scheme; generating a target service list in combination with the analyzed doctor-patient dialogue text, and distributing the target service list to a preset pension service cooperation terminal; the method has the effect of improving the real-time performance and the accuracy of the old people medical care service strategy.

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 provides a medical hospital guide robot scheduling method based on dynamic path planning. The method comprises the following steps: acquiring hospital guide information of a patient to be diagnosed; determining a task priority of the hospital guide information based on the hospital guide information; based on the task priority of the to-be-diagnosed patient, determining a target hospital guide robot, performing path planning processing through a preset reinforcement learning algorithm, and determining a walking path of the target hospital guide robot; and based on the walking route, controlling the target hospital guide robot to guide the to-be-diagnosed patient to the target consulting room. The hospital guide robot resource can be reasonably scheduled according to the task emergency degree, the surrounding environment information is sensed in real time through the reinforcement learning algorithm, the path is planned, the patient is guided to the destination, and the hospital guide efficiency is improved; the problems that according to an existing hospital guide robot, hospital guide robot resources cannot be reasonably dispatched according to the patient flow and the task emergency degree, surrounding environment information cannot be accurately sensed, and consequently path planning is inaccurate, and hospital guide efficiency is low are solved.

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.

Systems and techniques for monitoring, predicting and / or alerting for census periods in medical inpatient units are presented. A system can include a grouping component that defines a group of beds at a medical facility based on at least one grouping factor, and a group stability component that determines a measure of occupancy variability for the group based on historical census data for respective beds in the group. The system can further include a model selection component that selects one or more census forecasting models for the group based on the measure of occupancy variability, and a patient census component that applies the one or more census forecasting models to current patient flow data for the medical facility to forecast an expected occupancy level for the group during one or more future periods of time.

The invention relates to the technical field of medical management informatization, in particular to a visual multi-dimensional patient flow adjustment system and method, and the system comprises a patient sensing module, an intelligent analysis gateway, an adjustment strategy generation module, a resource dynamic scheduling engine, and a visual positioning platform. Wherein the patient sensing module is used for collecting basic information, doctor seeing states, department resource use conditions and environment data of patients in all areas of a hospital; the intelligent analysis gateway is used for fusing and processing data and predicting the patient flow risk through the gating circulation unit; the adjustment strategy generation module is used for carrying out treatment priority fine classification on the patients and generating a personalized flow adjustment strategy; the resource dynamic scheduling engine is used for performing accurate scheduling through an intelligent allocation algorithm according to the adjustment strategy; the visual positioning platform is used for calibrating patient positions and rendering a hospital-wide patient distribution thermodynamic diagram and a resource occupancy rate in real time. Therefore, the problems of long waiting time, unreasonable resource allocation, single management strategy and the like in the prior art are solved.

Provided herein are computerized system and method for full patient flow management through an emergency department process, integrating multi-agents LLM. The system and method utilize a plurality of LLM-based agents configured to perform one or more of: extract relevant medical information and generate a summarized medical history; interactively questioning the subject regarding its medical history and regarding the main complaint(s); provide recommendations regarding various medical examinations; process the summarized medical history and the results of the recommended medical examination(s) and; provide further summary, recommendations or instructions, regarding diagnosis and a decision regarding discharge or admission of the subject.

The invention discloses an emergency operation visual management method and device based on digital twinning, and relates to the technical field of digital twinning. The method comprises the following steps: constructing a three-dimensional twinborn scene corresponding to a physical emergency treatment space, and establishing a virtual mapping model; collecting multi-source heterogeneous data in real time; identifying a patient flow thermodynamic diagram and a resource usage rate based on a data-driven model update; identifying a homogeneous index according to the thermodynamic diagram and predicting a patient flow; a limit scheduling scheme and a reception flow are formed by combining the resource utilization rate and prediction sequence simulation scheduling; and visualizing the result and synchronizing a manager to remind. The technical problem that existing emergency treatment management depends on static data and artificial experience and cannot perform real-time perception, prediction and global optimization on dynamically changing patient flow and resource bottlenecks is solved, real-time dynamic visual management of emergency treatment operation is realized through the digital twinning technology, a patient flow thermodynamic diagram and the emergency treatment resource utilization rate are accurately identified, and the emergency treatment efficiency is improved. And the accuracy and timeliness of emergency operation management are improved.

The invention relates to medical auxiliary equipment, in particular to an embedded folding ladder based on medical diagnosis and treatment bed guardrails, which comprises guardrails fixedly arranged on one side or two sides of an examination bed, and is different from the prior art in that a folding ladder is embedded at one end, close to diagnosis and treatment equipment, of each guardrail, and the folding ladder comprises an upper pedal and a lower pedal; the upper pedal and the lower pedal can be locked after being lifted up so that a patient can climb on the examination bed in the lifting state, and the upper pedal and the lower pedal can be put down to the minimum state after being unlocked so that the original functions of the examination bed can not be affected. Compared with the prior art, by using the folding ladder, a patient can climb up the examination bed in a high state more easily, and the number of times of manually adjusting the height of the bed by medical staff is reduced, so that the circulation speed of the patient is increased, and the diagnosis and treatment efficiency is improved.

A system and method generate synthetic data simulating patient flow in a hospital for a simulation to provide hospital operations analytics. The method includes populating a hospital configuration file by specifying hospital parameters to provide data specific to the hospital and simulation criteria; populating arrival configuration files by specifying arrival parameters for arrival modules, where each arrival module includes corresponding constraints, and is configured to generate a base waveform to capture corresponding arrival patterns or a schedule; generating a patient trajectory for each arrival module based on the base waveform or the schedule, and the data specific to the hospital from the hospital configuration file; integrating the patient trajectories to provide an integrated patient trajectory including synthetic data specific to the patient flow in the hospital; and applying the integrated patient trajectory to an analytics algorithm to enable realistic situational simulations for enabling staff planning, resource allocation, and / or simulated remediation strategies.

The invention relates to a big data analysis method based on a hospital human resource digital intelligence simulation model, and belongs to the technical field of data analysis. The method comprises the following steps: acquiring doctor mastering skill data and doctor attendance data through a hospital human resource digital intelligent simulation model; obtaining doctor information preprocessing data through a data preprocessing model according to the doctor mastering skill data and the doctor attendance data; historical patient flow data and historical online reservation data are obtained, and patient flow prediction data are obtained through the patient flow prediction model according to the historical patient flow data and the historical online reservation data; according to the scheduling demand, the department demand and the doctor information preprocessing data, a scheduling constraint set is obtained through logic formula conversion; and obtaining a balanced scheduling result through a balanced scheduling model according to the scheduling constraint set, the patient flow prediction data and the doctor information preprocessing data. And big data analysis based on the hospital human resource digital intelligence simulation model is realized.

The utility model discloses an oral pad for an endoscope, and belongs to the technical field of nursing tools. The two transverse sides of one end of the goggles tube are each provided with a lip protection baffle; the fixing band is mounted on the lip protection baffle; one end of the waterproof pad is installed on the lip protection baffle, and the waterproof pad comprises a middle part and wing parts connected to the two longitudinal sides of the middle part. After a patient wears the oral pad, the waterproof pad is unfolded, when saliva of the patient flows out, the saliva can flow into the waterproof pad, the whole waterproof pad can prevent the saliva from flowing to clothes, a mattress, a headrest and other places of the patient in all directions, and therefore the trouble of cleaning can be reduced, and the comfort of the patient is improved; meanwhile, one side of the waterproof pad is provided with the lip protection baffle, so that the situation that saliva flows out of the interior due to large displacement of the waterproof pad can be prevented, and the saliva flowing-out prevention capability of the waterproof pad is guaranteed.

The present invention provides an auxiliary hospital space design method and device based on a building energy consumption model, which belongs to the field of energy-saving building technology. The auxiliary hospital space design method based on a building energy consumption model of the present invention can more comprehensively evaluate the building energy consumption by acquiring basic data of surrounding target hospitals, comprehensively considering the hardware and personnel configuration, patient flow and energy consumption data of the target hospital, and combining the design plan data of the hospital to be built. A building energy consumption model can be established based on actual data, and a building energy consumption model for the specific situation of the hospital to be built can be established, which can more accurately reflect the energy consumption characteristics and needs of the hospital, realize data-driven design optimization decisions, thereby reducing energy consumption on the basis of making more reasonable spatial layout adjustments and optimizations, improving energy utilization efficiency, and reducing resource waste.

The invention provides a hospital outpatient service and emergency treatment resource allocation management method, and relates to the technical field of hospital resource allocation. The method comprises the steps that a first information set of an emergency department is collected in real time, when patient flow data reaches a first threshold value, resource allocation strategy optimization is triggered, and emergency resource requirements in a future preset time period are predicted; an initial population containing N initial allocation schemes is generated, each allocation scheme code is a binary chromosome, a chromosome coding region is divided into an emergency treatment resource section and a common resource section, and a genetic algorithm is adopted to perform iterative optimization on the initial population to obtain an optimized resource allocation strategy; according to the method, through emergency treatment resource segment gene lock protection in the genetic algorithm, consulting room and equipment gene variation is allowed, physicians are dynamically supplemented, reservation of emergency treatment resources is ensured, meanwhile, common outpatient service resources are flexibly adjusted according to needs, resource conflicts are avoided, the dynamic response efficiency of the emergency treatment resources is improved, and a priority guarantee mechanism is provided.

The utility model provides a blood glucose detection sampling device which comprises a blood purification tube and an artery end sampling point arranged on the blood purification tube in a communicated mode, a limiting piece is detachably installed on the top of the artery end sampling point, a rubber plug is embedded in the limiting piece, a blood storage piece is arranged on the rubber plug, and a blood outlet is formed in the blood storage piece. The blood suction pipe is used for sucking blood in the blood purification pipe. According to the blood purification device, blood of a patient flows in the blood purification tube to achieve blood circulation, then the liquid storage bag is squeezed, gas in the liquid storage bag is discharged through the capillary needle, the interior of the liquid storage bag is in a negative pressure state, then the capillary needle penetrates through the rubber plug, the blood in the blood purification tube flows into the liquid storage bag through the capillary needle, and the blood is purified. According to the blood sampling device, temporary storage is achieved, the purpose of blood sampling is achieved at the moment, the mode does not need to additionally conduct needle insertion on the arms of a patient, harm to the patient is reduced, the purpose of continuous multiple times of sampling can be achieved, multiple times of detection can be conducted on the patient more efficiently, and the data accuracy is improved.

Cataract surgery is in recent years more and more augmented and supported by the application of laser cuts in the eye tissue. Such laser systems are separate units from the phacoemulsification system units that are usually used for cataract extraction. The laser systems require the patient to be positioned under the laser unit and then being moved under the surgical microscope next to the phacoemulsification unit. The here described invention relates to systems combining several aspects of the laser system and the phacoemulsification system. In particular, this invention relates to combining at least some parts of the control system and the housing for both systems and thereby minimizing and optimizing setup time, operating room footprint, patient flow and cost. Furthermore the here disclosed invention relates to integrating the laser system under the surgical microscope and thereby significantly reducing the surgery setup and complexity.

The invention relates to the technical field of medical informatization and intelligent management, in particular to a medical oncology daytime chemotherapy center patient whole-process intelligent scheduling and safety management method which comprises the steps of admission sign-in and dynamic scheduling, nursing task intelligent decomposition and pushing, drug flow and patient flow double-closed-loop safety checking and infusion process intelligent monitoring and early warning. The admission sign-in and dynamic scheduling specifically comprises the steps that after the patient actually arrives at sign-in, the system dynamically adjusts and locks an optimal execution path according to the real-time resource occupation condition, generates a personal exclusive all-day electronic treatment navigation timeline for the patient, pushes the timeline to a patient mobile terminal and updates the timeline in real time. According to the technical scheme provided by the invention, full-process and multi-resource collaborative optimization and closed-loop safety management of daytime chemotherapy patients are realized, the running efficiency of a daytime chemotherapy center can be remarkably improved, the medical error risk is reduced, the medical experience of the patients is improved, and data support is provided for fine management and continuous improvement.

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

The present invention provides a method, apparatus, device, and storage medium for predicting the number of hospital outpatient visits based on two-step regression. The method comprises: step S1: constructing a two-step regression-based prediction model for the number of hospital outpatient visits; and step S2: using the above-described prediction model to predict the number of hospital outpatient visits over a future period. The present invention utilizes a regression model with time series error to predict patient flow, capable of predicting patient flow over relatively long periods of time with reasonable accuracy. It performs well for time series data with strong regularity, facilitating management arrangements such as hospital shift scheduling.

Provided herein are computerized system and method for full patient flow management through an emergency department process, integrating multi-agents LLM. The system and method utilize a plurality of LLM-based agents configured to perform one or more of: extract relevant medical information and generate a summarized medical history; interactively questioning the subject regarding its medical history and regarding the main complaint(s); provide recommendations regarding various medical examinations; process the summarized medical history and the results of the recommended medical examination(s) and; provide further summary, recommendations or instructions, regarding diagnosis and a decision regarding discharge or admission of the subject.

The invention relates to a peritoneal dialysis patient line with a disinfecting filter and a drainage bypass. A medical fluid treatment system includes: a source of purified water; at least one concentrate for mixing with water from the water source to form a therapeutic fluid; a disposable kit includes a pumping portion, a concentrate line in fluid communication with a concentrate source and the pumping portion, and a patient line in fluid communication with the pumping portion, the patient line including a filter having a membrane configured to filter the treatment fluid, the filter is configured such that (i) fresh therapeutic fluid flowing from the pumping portion to the patient flows through the membrane, and (ii) used therapeutic fluid flowing from the patient through the filter to the pumping portion bypasses the membrane; and a medical fluid delivery machine comprising a pump actuator operable with the pumping portion of the disposable kit.

A medical fluid treatment system includes a source of purified water; at least one concentrate for mixing with the water from the source to form a treatment fluid; a disposable set including a pumping portion, a concentrate line in fluid communication with the concentrate source and the pumping portion, and a patient line in fluid communication with the pumping portion, the patient line including a filter having a membrane configured to filter the treatment fluid, the filter configured such that (i) fresh treatment fluid flowing from the pumping portion towards a patient flows through the membrane and (ii) used treatment fluid flowing through the filter from the patient to the pumping portion bypasses the membrane; and a medical fluid delivery machine including a pump actuator operable with the pumping portion of the disposable set.

A ventilation arrangement (200) and process ventilate a patient (P) with a ventilation circuit (40) connecting a ventilator (1) to a patient-side coupling unit (21). The ventilator performs a sequence of ventilation strokes, including expelling a quantity of a gas mixture that flows in the ventilation circuit to the patient-side coupling unit. Gas mixture exhaled by the patient flows in the ventilation circuit from the patient-side coupling unit to the ventilator. A gas mixture supply unit (31, 48) expels an additional gas mixture into the ventilation circuit at a feed point (38). A specification sets a volume flow of the additional gas mixture. In response to capturing a specification, a propagation duration for the expelled additional gas mixture to reach the feed point is predicted. The additional gas mixture is controlled to ensure that the expelled additional gas mixture reaches the feed point in an expiration phase.

Cataract surgery is in recent years more and more augmented and supported by the application of laser cuts in the eye tissue. Such laser systems are separate units from the phacoemulsification system units that are usually used for cataract extraction. The laser systems require the patient to be positioned under the laser unit and then being moved under the surgical microscope next to the phacoemulsification unit. The here described invention relates to systems combining several aspects of the laser system and the phacoemulsification system. In particular, this invention relates to combining at least some parts of the control system and the housing for both systems and thereby minimizing and optimizing setup time, operating room footprint, patient flow and cost. Furthermore the here disclosed invention relates to integrating the laser system under the surgical microscope and thereby significantly reducing the surgery setup and complexity.

To provide a blood purification device that can reduce the installation space required for the device in a space where multiple patients are treated. [Solution] The blood purification device 1A comprises a housing 10, a first blood purifier 21, a second blood purifier 22, a first blood pump 31, and a second blood pump 32. The housing 10 has a first side wall 11 and a second side wall 12. The first blood purifier 21 is incorporated into a first blood circuit through which the blood of a first patient flows. The second blood purifier 22 is incorporated into a second blood circuit through which the blood of a second patient flows. The first blood pump 31 is connected to the first blood circuit. The second blood pump 32 is connected to the second blood circuit. The first blood purifier 21 and the first blood pump 31 are provided on the first side wall 11. The second blood purifier 22 and the second blood pump 32 are provided on the second side wall 12.

The invention discloses an outpatient service intelligent scheduling method and system based on patient flow prediction, and relates to the technical field of data processing, and the method comprises the steps: obtaining a first time interval and a second time interval, obtaining a first historical time sequence and a second historical time sequence, obtaining a first average patient flow, and obtaining a second average patient flow; acquiring a prediction time point, acquiring initial demand intensity corresponding to the prediction time point based on the first intensity model, the prediction time point, the first historical time sequence and the first average patient flow, and acquiring fluctuation demand intensity corresponding to the prediction time point based on the second intensity model, the prediction time point, the second historical time sequence and the second average patient flow, obtaining basic demand strength; obtaining a constraint factor based on the limitation model and the prediction time point, and obtaining target demand intensity according to the constraint factor and the basic demand intensity; and completing corresponding outpatient scheduling at the prediction time point according to the target demand intensity. The method has the advantages of being accurate in prediction, safe, stable and self-adaptive.

The present invention relates to a device for optimizing a patient flow for maximizing patient convenience and enabling efficient operation of a hospital. To this end, the present invention provides a device for optimizing a patient flow, comprising: a first module that confirms that a patient has visited a hospital when a trigger device installed in the hospital and a patient terminal interact; a second module that provides guidance to the patient terminal to a next destination in the hospital, including an examination room and a testing room, on the basis of a treatment schedule for the patient whose visit has been confirmed by the first module; and a third module that the changes the patient flow and transmits same to the second module when a preset treatment schedule or patient flow changes according to a doctor's orders in the hospital.

Devices for monitoring cancerous cells in blood of a patient that are preloaded with a marker and a magnetic agent and removing them are provided. The device comprises a tray onto which blood withdrawn from the patient flows before returned to the patient; a magnet placed at a distance from the tray so that the blood on the tray is within a magnetic field of the magnet and the cancerous cells that are preloaded with the magnetic agent are forced to move from the blood on the tray towards the magnet. A detector configured to detect the marker in the cancerous cells in the blood on the tray is provided as well and a filter that is placed between the tray and the magnet so as to capture the cancerous cells that are forced to move towards the magnet and remove them from the blood of the patient.

The utility model discloses a drainage bag, which belongs to the technical field of drainage bags and comprises a drainage bag for storing urine of a patient, a catheter and a filter device, the catheter is communicated at an inlet of the drainage bag through the filter device, and the head end of the catheter is connected with a position to be treated of the patient. The filtering device is located at the inlet of the drainage bag and has the function of filtering urine impurities in the catheter; when a patient wears the child-mother drainage bag for treatment, urine and fine tissues of the patient flow into the child-mother drainage bag through the catheter to be stored, the tissues can be blocked through the filtering device in the process of flowing into the child-mother drainage bag, and under the condition that a large amount of tissues are accumulated, the urine and the fine tissues can be filtered through the filtering device. Only the filtering device needs to be replaced, the treatment effect of a patient is not affected, the pain of the patient is avoided, meanwhile, the cost is low, operation is convenient, the workload of medical workers is greatly reduced, and therefore wide use is facilitated.