18 results about "Patient flow" patented technology

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 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.

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.

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.

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 relates to the technical field of exudate absorption auxiliary devices, in particular to a nasal cavity postoperative exudate absorption device. According to the technical scheme, the non-woven fabric comprises non-woven fabric and further comprises a sealing part fixedly installed at the bottom of the non-woven fabric, a bonding layer is arranged on the sealing part, a plurality of telescopic belts are arranged on the bonding layer, and an absorption belt is installed on the sealing part and located above the bonding layer in a replaceable mode. Blood flowing into the upper lip is absorbed through the absorption belt, the postoperative bleeding amount of the nasal cavity can be observed according to the number of the products and the absorption degree of each piece in the application process, the exuded blood can be effectively prevented from flowing to the face, and the situation that a patient flows to a bed unit and pollutes personal clothes when sleeping or resting in bed is prevented. Through the arrangement of the telescopic band, the situation that a large gap is formed between the absorption band and the lip due to the fact that the bonding layer and the lip loosen can be effectively prevented, and then the absorption stability of the absorption band on blood oozing from the upper lip is guaranteed.

This invention discloses a visualized IoT integrated management platform, comprising a device and data acquisition layer, a network and protocol conversion layer, a data processing layer, and a visualization application layer. By leveraging IoT technology, this invention connects patient flow, doctor flow, material flow, and information flow, enabling real-time perception and transparent management of hospital operational status. Through a built-in intelligent analysis engine, it not only achieves post-event statistics but also provides in-process early warning and pre-event prediction, such as early detection of emerging epidemics and prediction of resource bottlenecks. It transforms complex multi-source data into intuitive graphics, charts, and 3D models, significantly reducing management complexity and improving decision-making efficiency.

The invention relates to the technical field of medical valves, in particular to an anti-backflow urine bag multi-stage sealing valve set structure. The anti-backflow urine bag comprises a sealing piece which is inserted into the top of a urine bag body in a sealed mode, the sealing piece comprises a limiting frame, and an anti-backflow structure is slidably connected into the limiting frame; the limiting frame is of a hollow structure, and the upper portion of the limiting frame is provided with a liquid inlet channel used for liquid inlet. After broken and small stones of a urethra and kidney stone patient flow into the liquid inlet channel along with urine, most of the stones penetrate through the liquid passing hole and flow into the urine bag body, but a small part of the stones still stay at the top of the plugging seat and are located on the outer side of the plugging seat, and after the patient completes urination, the small part of the stones are separated from the liquid passing hole. The scraping plate slides from the edge to the center from the top of the plugging seat, so that stones staying at the top of the plugging seat are scraped to the position near the outer wall of the pressure-bearing seat, the situation that the space between the top of the plugging seat and the side wall of the scraping plate cannot be completely sealed due to the stones is avoided, and the effect of preventing urine backflow is achieved.

The invention discloses an emergency equipment dynamic scheduling method based on demand prediction, and the method comprises the following steps: a), real-time data collection: continuously obtaining the information of a patient flow, a disease type structure, an illness condition grade, a traffic condition, weather, holidays and festivals and emergencies through an HIS, an RIS, a PACS, a pre-hospital 120 vehicle-mounted terminal, a wearable vital sign monitoring device and a public event API in a hospital, and carrying out the real-time data collection of the patient flow, the disease type structure, the illness condition grade, the traffic condition, the weather, the holidays and the emergencies; forming multi-source heterogeneous original data; b) a data preprocessing and feature engineering step: performing missing value interpolation, abnormal value elimination, time synchronization and normalization processing on the original data, and constructing spatio-temporal features, event features, periodic features, disease-device matching features and potential conflict features to form standard training samples; the invention relates to the technical field of intelligent medical treatment and first-aid resource optimization, in particular to an emergency treatment first-aid equipment dynamic scheduling method based on demand prediction.

The invention relates to a medical building BIM (Building Information Modeling) modeling method, which adopts a multi-resolution modeling technology, constructs BIM models with different precision levels according to the requirements of different medical functional areas, ensures that the models can accurately guide construction and equipment installation, and reduces the workload of on-site modification and reworking. A patient flow, a logistics flow and an information flow of a medical building are simulated and optimized through an AI algorithm and big data analysis, so that the patient flow is smoother, the waiting time of a patient is shortened, and the working process of medical staff is optimized; through a multi-specialty collaborative design tool of a cloud platform, real-time sharing and collaborative editing of multi-specialty data are realized, design contradictions among different specialties are found and solved, and the cost hyper-branched risk caused by a collaborative problem is reduced; through the intelligent operation and maintenance management system developed by combining the Internet of Things technology and the BIM model, real-time monitoring and intelligent management of equipment in a medical building are realized, the operation and maintenance efficiency is improved, the operation and maintenance cost is reduced, and meanwhile, the safety and stability of a medical environment are ensured.

Examples of the disclosure include a method of operating a patient-discharge-optimization system to improve medical outcomes, the method comprising: accessing, from memory and / or storage, historical patient flow information including a plurality of timestamped events for each of a plurality of patients; converting, by the discharge-optimization system, the historical patient flow information into standardized flow information having a standardized format defined by a plurality of standardized parameters; generating, by the discharge-optimization system, a plurality of models, each model indicating an effect of modifying at least one parameter of the standardized parameters for each of the patients; deriving, by the discharge-optimization system and based on the models, an optimal discharge histogram for one or more days; forecasting, based on the historical patient flow information, an anticipated future number of discharges for the day(s); deriving an optimal patient discharge timetable for the day(s); and providing the optimal patient discharge timetable to users.

Examples of the disclosure include a method of operating a patient-discharge-optimization system to improve medical outcomes, the method comprising: accessing, from memory and / or storage, historical patient flow information including a plurality of timestamped events for each of a plurality of patients; converting, by the discharge-optimization system, the historical patient flow information into standardized flow information having a standardized format defined by a plurality of standardized parameters; generating, by the discharge-optimization system, a plurality of models, each model indicating an effect of modifying at least one parameter of the standardized parameters for each of the patients; deriving, by the discharge-optimization system and based on the models, an optimal discharge histogram for one or more days; forecasting, based on the historical patient flow information, an anticipated future number of discharges for the day(s); deriving an optimal patient discharge timetable for the day(s); and providing the optimal patient discharge timetable to users.

Systems or techniques that facilitate intelligent hospital scenario simulation and emulation are provided. In various embodiments, a system can generate a configuration of resources or patient flow of one or more hospital units. In various aspects, the system can simulate a scenario in the one or more hospital units using the configuration to generate simulation data. In various instances, the system can generate action plan recommendations for operational bottlenecks detected based on the simulation data.

The present disclosure is directed to enhancing a lumen display in a CT sectional image of a blood vessel. The CT sectional image may be displayed with a first window level. An average CT value of lumen sections near the heart may be obtained, and a highest CT value of a section of a current blood vessel may also be obtained. A window level may be determined based on the average CT value and the highest CT value. At least a part of the section of the current blood vessel may then be displayed with the window level. The techniques allow for a window level to be preset to enhance lumen display and to improve the consistency of delineating the lumen contour, thereby avoiding deviations caused by subjective selection while saving time and improving patient flow.