11 results about "Treatment quality" patented technology

The invention discloses a hospital diagnosis and treatment quality real-time supervision method based on big data analysis, and the method comprises the following steps: collecting and processing internal multi-source diagnosis and treatment behavior data of a hospital, and obtaining structured diagnosis and treatment behavior sequence data; constructing a diagnosis and treatment behavior graph based on the structured diagnosis and treatment behavior sequence data; obtaining a node initial representation vector based on the diagnosis and treatment behavior graph; based on the node initial representation vector and the diagnosis and treatment behavior graph structure, constructing a behavior perception graph attention network, and obtaining a node embedding representation set of the diagnosis and treatment behavior graph; based on the node embedding representation set, comparing the node embedding representation set with a standard diagnosis and treatment path diagram to obtain an abnormal diagnosis and treatment behavior node set and a corresponding abnormal type label; generating an abnormal diagnosis and treatment behavior path diagram based on the abnormal diagnosis and treatment behavior node set; and pushing the abnormal diagnosis and treatment behavior path diagram and the abnormal type label to a hospital quality control system or a medical management system. The behavior perception graph attention network is adopted, and real-time monitoring of hospital diagnosis and treatment quality is achieved.

The application discloses a high-efficiency roughening device and a self-cleaning treatment method, and solves the problems of poor treatment quality and certain safety hazards caused by the treatment mode of the inner wall of a double-skin wall. The method comprises the following steps: S1, pretreatment, spraying a solution to the inner wall to improve the adhesion of the inner wall; S2, roughening, roughening treatment is performed on the inner wall by using a roughening device; and S3, cleaning treatment, the inner wall surface is cleaned by using the roughening device to remove the sundry dross generated in the roughening process.

The embodiment of the application provides a kind of based on Kd-Net's tumor radiotherapy response prediction method and model, the method includes the following steps: extracting tumor feature fusion forms point cloud, according to SUV variation gradient, point cloud is classified and labeled, and is divided into training set, verification set and test set;Based on the network architecture of Kd-Net, construct deep learning model;Based on training set and verification set, the deep learning model is trained, and model parameter is adjusted;Based on the optimized model parameters and test set, the performance of the optimized deep learning model is evaluated, and the trained deep learning model is obtained;The tumor data set to be predicted is input into the trained deep learning model, and the tumor radiotherapy response is predicted.The prediction method and model provided in the application can predict whether the tumor responds after radiotherapy, thereby intelligently assisting the doctor to adjust the radiotherapy dose, implementing adaptive precision radiotherapy decision for the patient, reducing the harm of radiotherapy to the patient, and improving the work efficiency and diagnosis and treatment quality of the doctor.

This invention provides a sepsis consultation method and system based on multi-turn dialogue, belonging to the field of intelligent consultation equipment technology. This invention achieves effective integration of standardized medical knowledge and personalized clinical experience through the construction of a two-dimensional knowledge graph and cross-graph interactive retrieval, improving the accuracy and reliability of sepsis diagnosis and treatment recommendations. Through structured sepsis diagnosis and treatment chain constraints and a confidence-driven dynamic strategy, it alleviates the illusion problem of large language models in complex clinical reasoning, ensuring that the generated content conforms to clinical diagnosis and treatment logic norms. Through semantic anchor guidance, hierarchical activation, and knowledge feedback mechanisms, it achieves multi-granular semantic association from macro-clinical scenarios to micro-medical concepts, balancing retrieval accuracy and knowledge coverage. The confidence evaluation system comprehensively considers knowledge sufficiency, redundancy, and consistency, adaptively balancing knowledge utilization and information exploration, improving the reasoning efficiency and diagnosis and treatment quality of multi-turn dialogue.

Method for optimizing laser parameters for an ophthalmic laser (12) of a treatment device (10), wherein the method comprises the following steps performed by means of a control device (18): - Determine (S12) whether a treatment quality with the treatment device (10) performed with first laser parameters (S10) corresponds to a predetermined treatment quality criterion, wherein the laser parameters include at least a laser pulse energy, a spatial laser pulse spacing and a spatial laser pulse path spacing; - if the treatment quality does not meet the treatment quality criterion, provide a second laser parameter (S14) in which at least one laser parameter is adjusted by a predetermined value; - wherein the second laser parameters are used for subsequent treatment with the treatment device (10) (S16); - where the treatment quality criterion includes at least one of the following aspects: ◯ the formation of an opaque blister layer in a treatment area; ◯ the formation of black spots in the treatment area; ◯ a separation result, which is determined in particular by the required dissection time of irradiated tissue; ◯ a recovery outcome, determined in particular by an inflammatory response and / or achieved visual acuity; - wherein a grade is determined for the respective aspect of the treatment quality criterion, wherein the respective aspect is divided into a severe, medium and mild grade, wherein in a severe grade all three laser parameters are adjusted, wherein in a medium grade two laser parameters are adjusted, and wherein in a mild grade one of the laser parameters is adjusted.

The present disclosure provides a target real-time tracking control method and an electronic device, and belongs to the technical field of radiotherapy device control. The method comprises: acquiring a beam-out direction of a current treatment beam; constructing a follow-up coordinate system that changes with the beam view angle based on the beam-out direction, wherein the follow-up coordinate system takes the isocenter of the radiotherapy device as the origin, at least includes a first coordinate axis and a second coordinate axis perpendicular to each other, and the beam-out direction is perpendicular to the plane formed by the first coordinate axis and the second coordinate axis; determining the two-dimensional offset of the target on the first coordinate axis and the second coordinate axis, and controlling the radiotherapy device based on the two-dimensional offset. The present disclosure can accurately determine the two-dimensional offset of the target which has a significant influence on the treatment quality.

The invention relates to an analgesia pump drug delivery control method and device based on multi-dimensional pain indexes, and the method comprises the steps: obtaining multi-dimensional pain data, including physiological data and behavior data, of a target patient, building a pain calculation model containing the multi-dimensional pain indexes, importing the multi-dimensional pain data into the pain calculation model, and calculating the pain of the target patient according to the pain calculation model. Obtaining a pain value corresponding to the target patient, collecting a pain feedback value of the target patient in real time, and controlling the administration process of the analgesia pump in combination with the pain value. Through the core logic of multi-dimensional data acquisition, accurate model evaluation and real-time feedback regulation, the limitation of administration control of a traditional analgesia pump is broken through from the four dimensions of evaluation accuracy, administration individuation, administration safety and management efficiency, and finally the clinical goals of accurate analgesia, safe administration and efficient management are achieved. The method has important value for improving the pain diagnosis and treatment quality, guaranteeing the safety of patients and optimizing the clinical working process.

The invention relates to the technical field of processing control, in particular to a bedding bioactive fiber treatment system based on dynamic data adjustment, which comprises a treatment agent optimization module, a treatment concentration adjustment module, a parameter real-time adjustment module and a treatment quality evaluation module. According to the method, the accuracy and cost effectiveness of biological activity treatment are ensured by analyzing the fiber characteristics of the bedding articles and the adaptability of various biological activity treatment agents and identifying the matched treatment agents, and the use concentration and processing temperature of the treatment agents are dynamically adjusted and monitored and adjusted in real time according to the concentration change rate and historical data; the accuracy and efficiency of biological activity treatment are improved, so that the treatment time is effectively shortened on the premise of ensuring the quality of each batch of bedding articles, the biological activity treatment is completed by adjusting the treatment time, the product quality and the safety standard are ensured, and the real-time evaluation of the treatment effect ensures that each batch of products meet the quality standard. And the market competition of the product is enhanced.

The invention relates to a registration doctor-seeing analysis scheduling method, which comprises the following steps of: aiming at a doctor-seeing sign-in sequence formed by patients under initial sign-in and back-visit sign-in in real time, taking longest waiting time analysis as a sequential triggering condition, and triggering a first-visit patient and a back-visit patient distinguished by aiming at a patient analysis design, so as to obtain a first-visit sign-in sequence and a second-visit sign-in sequence; the method comprises the following steps: contacting completed historical treatment records of each historical patient treated by a target doctor registered by a patient, designing and executing primary analysis scheduling to update a treatment sign-in sequence, and further triggering and contacting each completed historical treatment record of each historical patient treated by other doctors in a department where the target doctor is located; in this way, according to the design scheme, multi-dimensional factor analysis is integrated, a two-stage analysis scheduling scheme is designed progressively, the doctor-seeing waiting time of the patient is shortened to the maximum extent while the doctor-seeing quality is guaranteed, and the doctor-seeing efficiency is improved.

Embodiments of the present disclosure relate to systems and methods for radiotherapy field delivery time optimization. Treatment fields can be generated as part of a treatment plan that achieves a desired balance between field delivery time and dose based on machine parameters and knowledge, such as machine-specific beam generation, delivery, and scanning logic, and / or a maximum treatment time value. Treatment parameters can be adjusted using a graphical user interface in order to prioritize treatment time or dose measurement. As a result, overall treatment time is reduced, thus improving treatment quality and patient experience.

The invention relates to a portable Lu-177 nuclide activity field detection device and a test method. The detection device comprises a gamma detection assembly and a circuit mainboard which are installed in a shell. A plurality of gamma detection assemblies are arranged, the gamma detection modules are mounted in the gamma detection assemblies, a space formed by surrounding the gamma detection assemblies is used as a sample cabin, a clamping groove in the center of the sample cabin is used for placing a Lu-177 bearing bottle, and each gamma detection module adopts a GAGG: Ce scintillator and silicon photomultiplier SiPM combined structure; the circuit mainboard is provided with a connection module of the circuit mainboard and the gamma detection assembly, a power conversion module, a signal summation circuit of the gamma detection assembly, a digital multi-channel module and a data analysis and transmission module. The test method comprises five steps of device initialization and the like. The method has the beneficial effects that a technical support is provided for accurate checking of the dosage before Lu-177 administration, the medication safety of a nuclide treatment patient is guaranteed, and the clinical nuclear medicine treatment quality is improved.