28 results about "Hospital information system" patented technology

The application discloses an osteoporosis risk grading prediction method based on clinical prior logic gating, acquires multi-modal clinical data of a patient to obtain a standardized feature vector group, constructs and trains an osteoporosis risk grading prediction neural network model, including a double-flow feature coding module, a logic gating fusion module and a cascaded classification prediction module, inputs the standardized feature vector group after splicing processing to the trained neural network model, and outputs an osteoporosis risk grading prediction result. The application converts the diagnosis logic in the clinical guideline into an attention gating mechanism in the neural network by designing a double-flow architecture, and combines a screening-grading cascaded strategy, so that the existing structured data (demography, test single, medical history) in the hospital information system can be directly used to realize low-cost, high-precision and clinically interpretable osteoporosis risk grading without additional image examination.

This invention provides an intelligent delivery room care system integrating multimodal environmental control based on sound, light, and temperature, belonging to the field of medical care equipment technology. By integrating multimodal environmental sensing and control capabilities based on sound, light, and temperature, combined with real-time analysis of the mother's physiological and behavioral states, this invention achieves intelligent, personalized, and contextualized management of the delivery room environment. Its main advantages include: significantly reducing the mother's anxiety and pain perception during childbirth, increasing the success rate of natural childbirth; reducing the burden of environmental control operations on medical staff, improving nursing efficiency; supporting adaptive environmental switching across multiple stages and scenarios, meeting the needs of the entire cycle from labor to postpartum recovery; ensuring the dignity of the mother and data security through non-invasive monitoring and privacy protection design; and a modular system design that facilitates integration with existing hospital information systems (HIS) and intelligent ward platforms.

This invention discloses a method and apparatus for intelligent task navigation and multi-dimensional collaborative management, applicable to the optimization and execution control of complex workflows, such as hospital information systems and intelligent systems. The method achieves personalized task generation, multi-role collaborative task allocation, and dynamic monitoring and optimization in complex scenarios by constructing a multi-level knowledge graph, applying the fully discrete finite element method, the nonlinear GCR-type Krylov subspace method, and the unfitted Green's function method.

The application provides a hospital intelligent guiding system based on a dynamic programming algorithm, and belongs to the technical field of computer data processing.The system precisely calculates the underlying physical movement cost by using an edge computing gateway combined with an A* algorithm, and fuses the underlying physical movement cost with the estimated waiting time pulled from a hospital information system in real time, thereby constructing a multi-dimensional space value map.The system solves a Hamilton circuit problem with constraints by using a dynamic programming algorithm, can plan a global optimal access sequence with the least overall time consumption for a patient with multiple to-be-handled tasks at one time, greatly reduces the patient's in-hospital blind groping, invalid return and long-time queuing and waiting, can capture a state update vector in real time, instantaneously executes local deep optimization with the current node of the patient as a new starting point, and pushes the dynamically adjusted alternative scheme to a terminal, thereby effectively avoiding the patient from being trapped in a long-time stagnation dilemma due to information lag.

The application relates to an unattended care access control management system, method and medium, which comprises a background management server arranged in an internal network of a medical institution, a permission management engine for executing dynamic permission decision, and a data interface module in communication connection with a hospital information system and an external mobile application server; a plurality of access control integrated machines arranged at entrances of respective wards, in communication connection with the background management server, for executing local identity verification and controlling opening and closing of access control based on a received permission white list; and at least one all-digital indoor machine arranged at a nurse station, in communication connection with the background management server and the access control integrated machine, for responding to a call of the access control integrated machine and realizing visual intercom and remote door opening. The application realizes the unity of safety, efficiency and humanization, and effectively promotes digital transformation and intelligent upgrading of hospital management.

The invention relates to a diagnosis and treatment data management and collaborative diagnosis and treatment method for diabetic retinopathy, which is applied to a medical care terminal, and comprises the following steps: in response to successful login of a user, displaying a homepage of the medical care terminal; skipping to a medical record auditing page under the condition that the user identity is a medical worker and a request for viewing the medical record auditing page is received; the medical record auditing page is used for displaying the medical record data with the marked auditing state; the medical record data is uploaded by a patient end, detection equipment and / or a hospital information system; when a selection operation on the target medical record data whose auditing state is to be audited is received, displaying the target medical record data in response to a preview operation triggered through a preview component; and when a selection operation on the auditing passing component is received, updating the auditing state of the target medical record data to be auditing passing. Therefore, by means of unified state marking and medical record data summarization, medical record state chaos caused by operation habit differences is reduced, and the problems that medical data are scattered and difficult to integrate are solved.

The application relates to a clinical-pathway-based intelligent medical consumable consumption control system and method, wherein the system comprises: a consumption control management data layer, which is used for performing heterogeneous data fusion between a hospital information system and a supply chain system through a standardized interface engine; a consumption control management rule layer, which is used for warning and controlling over-packaging behaviors of overuse of medical consumables on a clinical pathway from the quantity dimension and the amount dimension; and a consumption control management application layer, which is used for visually displaying charging item information of the over-packaging behaviors in the case of identifying the over-packaging behaviors. Through the application, fine control of medical resource consumption is realized, the architecture takes the clinical pathway as a benchmark, deeply couples medical behaviors and material consumption, innovatively constructs double-dimension dynamic control of quantity+amount, effectively avoids resource waste or insufficient supply caused by traditional single quantity limitation, and solves the problem of how to improve fine allocation of medical resources.

This invention relates to the field of medical supplies technology, specifically to an intelligent transfer cabinet for body fluid specimens. The cabinet comprises a cabinet body, a partitioned storage system, a control unit (i.e., an industrial-grade main controller), and a communication and control execution module. The cabinet body is integrally formed from 304 stainless steel and includes multiple physically isolated specimen storage areas and a low-temperature storage area. The main controller, based on an ARM Cortex-A series processor and equipped with an embedded system, serves as the core for managing all modules. The communication module enables data interaction with the hospital information system, and the control execution module, controlled by the main controller, centrally manages the electromagnetic locks and status indicators of each storage compartment door. This invention achieves standardized and intelligent temporary storage and transfer of body fluid specimens, improving management automation and reliability, and ensuring storage hygiene and safety as well as the integrity of information management.

This invention discloses an optimization method and system for a predictive model of diabetic complications. It involves collecting routine laboratory test data from diabetic patients, performing preprocessing such as missing value removal, label merging, and SMOTE resampling to construct a balanced dataset. The average importance of indicators is evaluated using multiple machine learning models to select a subset of key features. Random forest, XGBoost, support vector machine, and multilayer perceptron are selected as base classifiers, and after hyperparameter optimization, a stacked ensemble learning model is constructed to further improve predictive performance. Finally, the model is packaged as an API service and embedded into a hospital information system to achieve high-precision, low-cost, and real-time risk prediction of diabetic complications. Experimental results show that this invention achieves an accuracy of 98.5% and an AUC of 99.76% in predicting diabetic nephropathy complications, outperforming single models.

This invention provides a medical auxiliary diagnostic system based on a large medical model and speech recognition, including a doctor's workstation deployed on hospital terminal equipment for receiving and displaying diagnostic reports and draft medical records for doctors to review and confirm before submitting to the hospital information system (HIS); an AI doctor client installed on the same terminal device as the doctor's workstation for real-time acquisition of doctor-patient dialogue audio, displaying system-generated follow-up questions and auxiliary prompts, displaying draft medical records and diagnostic reports, and communicating with the AI ​​server and the hospital data interaction server; and a hospital data interaction server, deployed independently in each hospital, for establishing a WebSocket communication channel to achieve real-time data transmission between the AI ​​doctor client and the doctor's workstation within the hospital, forwarding diagnostic reports, draft medical records, and doctor instructions. This system reduces the workload of doctors in data collection, recording, and analysis, and overcomes the shortcomings of existing technologies that rely entirely on manual labor.

The application discloses a kind of intelligent diagnosis and decision support method of coronary heart disease angina TCM syndrome factor based on HIS, it is related to medical information and TCM diagnosis and treatment technical field, the method will coronary heart disease angina TCM syndrome factor diagnostic criteria be deconstructed into standardization diagnostic item, build machine-readable weight rule base containing score, threshold and severity grading rule, response syndrome differentiation operation generates electronic collection form, receives structured data storage to the TCM syndrome factor fact table associated with patient main index and medical record, after structured data is submitted, trigger intelligent computing engine verification essential item, total score is accumulated, determine the establishment of syndrome factor and severity, through TCM diagnosis and treatment knowledge graph push personalized treatment or nursing suggestion in clinical business node, and continuously update rule base and knowledge graph through clinical data feedback.The application integrates corresponding function module to realize and deeply fuse with hospital information system, improves the standardization and efficiency of diagnosis and treatment, and has strong practicality.

This invention relates to an automatic visual pop-up verification system for drug retrieval in a hospital information system, belonging to the fields of medical information technology and medication safety control. By constructing a drug appearance image library module, the system binds images of the smallest drug packaging, the front and back of the medicine box, and the individual drug appearance images to the hospital information system's drug dictionary. A retrieval trigger module is set up to automatically retrieve the corresponding drug image in response to the user's drug retrieval operation. A visual pop-up module displays the drug image in real time on the doctor's workstation and the pharmacy dispensing system interface for medical staff to visually verify. Simultaneously, a printing module embeds the drug image into the prescription and medication instructions, achieving closed-loop verification by doctors, pharmacists, and patients based on a unified image benchmark. This invention solves the medication confusion problem caused by textual dependence, similar drug names, and similar packaging in existing technologies, reducing the incidence of medication errors, without requiring any hardware investment or changing the existing workflow.

The present invention discloses an intelligent triage and real-time vital sign monitoring transfer stretcher system, belonging to the technical field of intelligent medical devices. The present invention combines the advantages of hardware adaptability, intelligent triage and monitoring, and cloud scheduling integration, greatly improving the overall efficiency and safety of casualty transfer and first aid. The stretcher hardware adopts lightweight composite materials and is equipped with a multi-functional design, adapting to different casualties and scenarios. Multiple sensors achieve high-precision continuous collection of vital sign and environmental data, dynamically adjust the body temperature of the casualty, and ensure transfer safety at the basic level. Through the trained injury triage model, four-level accurate classification of injuries is achieved, and the monitoring threshold can be dynamically adjusted according to the injury condition. Early warnings are given for abnormal vital signs in a timely manner. Relying on cloud-based multi-mode wireless transmission, data interconnection in the whole scenario is realized, docking with the hospital information system, completing multi-terminal linkage scheduling for the entire first aid process, optimizing transfer specifications through data correlation analysis, rationally allocating first aid resources, and achieving seamless connection between pre-hospital and in-hospital first aid.

The application provides a construction method and system of a model for predicting ovarian low response and deploying individualized ovarian stimulation strategies, including two models: a POR diagnosis model and a POR ovarian stimulation strategy deployment model. First, candidate features are preliminarily screened and data is preprocessed; second, the model is trained based on various machine learning algorithms, the best algorithm is evaluated and screened; third, the key risk factors related to POR are determined through feature interpretation; and finally, the model construction, testing and verification are completed, and the prediction is interpretable at the individual level. The application can make interpretable prediction on the occurrence risk of POR of women of childbearing age, and can deploy individualized optimal ovarian stimulation strategies based on the POR risk, can be applied in a hospital information system scene, has important research significance for the clinical diagnosis and pathogenesis of POR, and has great use value for early screening of high-risk groups of POR, assisting doctors in making diagnosis and treatment decisions and reducing the economic burden of patients.

The application discloses a hospital pharmacy dispensing pure visual checking method, and belongs to the technical field of hospital medicine dispensing checking, and comprises the following steps: connecting two-dimensional code information with a hospital information system to obtain a medicine list; capturing a transparent basket containing prescribed medicines from a vertical top view angle and two side view angles; identifying the positions of the medicines through a YOLO object detection model and cutting out the area corresponding to each medicine to obtain a detection frame picture; grouping and matching to obtain a picture combination containing three pictures; performing visual transformation recognition to obtain a visual transformation recognition result, and performing optical character recognition on the picture combination to obtain an optical character recognition result; and comparing all obtained final medicine name recognition results with the medicine list to output a checking result. The application can ensure the accuracy and safety of medicine dispensing by combining image recognition and information comparison technology, and reduce the error risk caused by manual checking.

The application provides a digital hospital big data hub management system, relates to the fields of medical informatization and big data management, and comprises a data twin hub system, a trust chain collaboration system, a breathing storage system, a narrative presentation system, a microclimate regulation system, a memory remodeling system and a central nervous control console; the data twin hub system comprises a data flow acquisition module, a life body modeling module and a visual interaction module, the data flow acquisition module acquires data from a hospital information system, an imaging device and an Internet of Things sensor and generates a structured record, the life body modeling module generates a patient data flow model and calculates a health index, and the visual interaction module displays a data flow timeline and a relationship diagram and sends an alarm; the system realizes efficient multi-source data integration and improves data quality, and solves the problems of non-uniform data formats of a hospital information system, an imaging system and an Internet of Things sensor, and slow integration speed in the prior art.

This application discloses a hospital information system interface platform, data processing method, device, and storage medium, relating to the fields of medical informatics and enterprise application integration technology, which facilitates improvements in the efficiency and maintainability of integrating heterogeneous hospital information systems. The platform includes: a gateway layer for routing parsed data requests to corresponding internal business microservice instances; a microservice layer communicating with the gateway layer for executing the specific business logic corresponding to the data requests distributed by the gateway layer and issuing call instructions to the interface conversion layer; an interface conversion layer communicating with the microservice layer, responding to the call instructions, receiving raw response data from the target hospital information system, converting the raw response data into the platform's internal standard data format, and returning it to the microservice layer; and a service governance and configuration center for implementing service instance registration, service address query, and unified configuration management. This application is applicable to scenarios involving the integration of heterogeneous hospital information systems.

The application provides a hospital equipment energy consumption estimation system based on big data and artificial intelligence, and relates to the technical field of intelligent medical treatment. The hospital equipment energy consumption estimation system based on big data and artificial intelligence comprises a surgical procedure analysis module, which is used for analyzing and constructing a surgical procedure event chain based on surgical scheduling information of a hospital information system by using a natural language processing technology and outputting the surgical procedure event chain; and an equipment data acquisition module, which is used for collecting energy consumption data and key operation parameters of equipment in real time based on an Internet of Things sensor deployed on a high-power medical equipment dedicated to an operating room and outputting an equipment real-time operation data set. By analyzing surgical stage terms and constructing a structured event chain, medical business activities and equipment operation states are accurately associated, a medical scene context is provided for energy consumption prediction, multi-dimensional operation parameters and environmental data of high-power special equipment are collected in real time, and a holographic data basis covering equipment health states, environmental factors and business timing is established.

The application discloses a kind of hospital multidimensional value drive integral performance management methods, comprising the following steps: constructing multidimensional value index system including labor value, technical value, disease value, economic value, management value and social value;According to hospital strategic goal and DRG / DIP payment policy requirement, dynamically allocate the weight of each dimension through analytic hierarchy process;Through hospital information system, outpatient visits, operation volume, disease risk grade, medical cost, patient satisfaction data are automatically collected, and classified mapping to corresponding value dimension.The hospital multidimensional value drive integral performance management method of the application is in line with hospital strategy and enhances the adaptability to DRG / DIP policy, optimizes management system;For medical staff, construct multiple incentive system and individualized career development guidance, improve work enthusiasm and professional accomplishment.

The application provides a kind of accelerated rehabilitation evaluation model construction method based on multi-source feature fusion, belongs to rehabilitation evaluation model technical field, the application is by from hospital information system etc. Multi-source system is collected numerical type, time series type and image type perioperative data and constructs multi-source heterogeneous original data set, is completed bidirectional fusion by cross attention gate module and obtains multimodal fusion feature vector, then by variational information bottleneck condition generates artificial intelligence evaluation network joint classification loss, reconstruction loss, information bottleneck constraint loss and mode balance auxiliary loss training output initial rehabilitation state score, finally, three-layer bayesian hierarchical model is used to adaptively correct the output of standardized patient rehabilitation state score, which solves the technical problem of insufficient cross-center generalization ability of accelerated rehabilitation evaluation model caused by insufficient perioperative multi-source heterogeneous data fusion.

The embodiment of the invention provides a detection item recommendation method, a clinical examination aid decision-making system and a hospital information system, which are used for improving the accuracy of recommending detection items to patients. The method comprises the steps that latest diagnosis information of a patient in the hospitalization period is obtained from a hospital information system and displayed in a preset display interface, the latest diagnosis information of the patient at least comprises a patient identifier and a disease identifier of the latest definite diagnosis of the patient, and the preset display interface further comprises a detection doctor's advice display control; and in response to a trigger operation on the detection doctor's advice display control, querying the detection item index table according to the latest diagnosed disease identifier of the patient to determine a necessary detection item and / or an optional detection item associated with the latest diagnosed disease identifier, and according to the necessary detection item and / or the optional detection item, displaying the detection item according to the necessary detection item and / or the optional detection item. And displaying the necessary detection item component and the selectable detection item component which can be selected in a preset display interface.

This invention discloses a method and system for real-time inventory synchronization of an automatic bag-retrieving machine, relating to the field of inventory synchronization management. The method includes obtaining the bag types and quantities for the next bag-retrieving application cycle; performing matching verification during bag-retrieving tasks; merging high-frequency, continuous outbound events into batch events; and inputting inventory drift events into an edge computing unit to update the predicted additional bag-retrieving tasks for the next bag-retrieving application cycle. This invention, through a built-in edge computing unit, combines task data from the hospital information system with historical bag-retrieving data to dynamically generate internal tasks and predicted additional tasks for the next bag-retrieving cycle. During the outbound process, real-time matching verification is performed to prevent abnormal outbounds, identify inventory drift, and dynamically adjust predicted tasks, achieving a closed-loop inventory management system and reducing emergency allocation and operational risks. A cloud-based central dispatch platform optimizes allocation paths and resources, rapidly responds to emergency dispatch events, and enhances dispatch flexibility and the overall intelligence level of the system.

This invention relates to the field of medical artificial intelligence data processing technology, and particularly to a closed-loop management method for medical hand hygiene based on the blocking of multidrug-resistant bacteria. The method includes: acquiring microscopic rheological parameters of multidrug-resistant bacteria and the fluid property matrix of hand sanitizer; extracting instantaneous kinematic parameters and flow field parameters of the hand; deriving the probability density distribution of biofilm residue mass based on the aforementioned parameters, and generating an aerosol generation probability threshold; dynamically adjusting the outlet pressure and drug release concentration of a microfluidic pump according to the biofilm residue mass probability density distribution and the aerosol generation probability threshold; generating a termination point and stopping the adjustment of the microfluidic pump when the biofilm residue mass probability density distribution meets a preset microscopic residue cutoff extreme value; at the termination point, issuing a business flow blocking command or a release command to the hospital information system based on the verification result. This invention improves upon the problem of latent bacterial residues and secondary cross-infection by aerosols caused by traditional equipment relying on timing mechanisms.

This invention provides a blockchain-based peritoneal dialysis data security sharing and traceability system, comprising: a data sensing module that collects data from hospital information systems and patient equipment, and encrypts and stores the data after adding source identifiers, timestamps, and digital signatures; a data storage and authorization module that implements data hash storage, fine-grained access control, and full-process operation traceability based on a consortium blockchain network; and a collaborative analysis module that supports multi-node privacy computing under authorized conditions, enabling cross-institutional data joint analysis. This invention utilizes the immutability and traceability of blockchain, combined with national cryptographic algorithms and privacy computing technology, to improve the sharing efficiency and collaborative analysis capabilities of peritoneal dialysis data while ensuring data security and patient privacy.

This invention discloses a preoperative waiting vital sign monitoring and early warning method based on rPPG, belonging to the field of vital sign monitoring and early warning. Its purpose is to solve the technical problem of low accuracy in vital sign monitoring and alarms due to the lack of vital sign monitoring in waiting areas outside operating rooms and catheterization rooms, and the inability to dynamically set thresholds based on the individual conditions of patients in the waiting area. The monitoring and early warning method includes: acquiring facial video streams of patients in the waiting area; extracting facial features and vital sign time-series data from the facial video streams; comparing the facial features with patient information in the hospital information system to identify patient identity information and retrieve medical records; generating individual baselines for each indicator based on individualized physiological baselines in the medical records; generating dynamic thresholds for corresponding indicators based on individual baselines and key diagnostic information; and using the vital sign time-series data and the dynamic thresholds for corresponding indicators for monitoring and early warning of patient vital signs.

The present application relates to the technical field of venous intervention, and specifically discloses a venous intervention treatment system, an intelligent puncture module guide module displays subcutaneous veins by near-infrared imaging, intelligently identifies the best puncture point, and assists in puncture; a multifunctional integrated catheter needle has a multi-lumen structure, a main lumen is used for infusion / drug delivery, and an independent blood sampling auxiliary lumen is used for sampling; a host control and passage management module contains a micro-precision pump system, an intelligent multi-passage switching valve, etc., can accurately control infusion / blood sampling, and automatically switches modes; a portable man-machine interface can display vascular images, operation guidance, etc., supports quick start of key functions, and can be wirelessly connected to a hospital information system; disposable consumables integrated packaging includes a sterile catheter needle, an infusion pipeline, etc. The present application accurately displays subcutaneous vein images and identifies the best puncture point through near-infrared imaging and intelligent identification algorithms, provides precise puncture guidance for medical staff, greatly improves the puncture success rate, and reduces the pain of patients.

The application provides a runtime recompilation optimization method and system of dynamic hotspot code, relates to the technical field of medical information system performance optimization, and comprises the following steps: acquiring code block information of a hospital information system runtime, constructing a multi-layer calling dependency graph to identify a shared code path across business processes, and calculating a parameter distribution difference degree and an execution path divergence entropy. When the stability condition is met, the shared path is marked as a polymorphic stable hotspot, the type constraint intersection and the data flow invariant formula generation condition are extracted to generate an optimized unit. The unit is recompiled to generate a two-path code structure with branch weights and is deployed. According to the fast path hit rate, the optimization is dynamically adjusted or rolled back. The method realizes accurate and adaptive performance optimization of medical business code.